In some implementations, the techniques described herein relate to a method including: transmitting, by an access point, a message to a wireless device and receiving a response to the message, the response including a list of access points nearby the wireless device; determining, by the access point, a location of the wireless device based on the list of access points utilizing a trilateration algorithm; determining, by the access point, a type of the wireless device; identifying, by the access point, one or more nearby wireless devices within a threshold proximity to the wireless device; and categorizing, by the access point, one of the wireless device or a location of the wireless device based on the one or more nearby wireless devices and the type of the wireless device.
H04W 64/00 - Localisation d'utilisateurs ou de terminaux pour la gestion du réseau, p. ex. gestion de la mobilité
G01S 13/76 - Systèmes utilisant la reradiation d'ondes radio, p. ex. du type radar secondaireSystèmes analogues dans lesquels des signaux de type pulsé sont transmis
2.
COMPUTERIZED SYSTEMS AND METHODS FOR NETWORK EXPANSION VIA CONNECTIVITY NODES AND EVENT DETECTION BASED THEREFROM
Disclosed are systems and methods that provide a computerized framework that provides functionality for an expanded node-based network that can dynamically adapt to the location/position of a location tracker, while enabling the tracker to automatically trigger security and/or safety features for its associated user/item. The disclosed framework can dynamically and automatically compile connectivity nodes of disparate networks to provide (both low-cost and high-end) trackers continuous network coverage. Effectively, the disclosed framework can provide trackers with an adaptive Internet of Things (IoT)-type network that leverages connectivity nodes of specific networks to provide and maintain connectivity the tracker as the tracker traverses the real-world. Moreover, the tracker can provide capabilities that automatically can detect specific types of events, which can trigger notifications, alerts and/or remedial measures that are all enabled via the novel network connectivity provided via the disclosed framework.
H04W 36/32 - La resélection étant déclenchée par des paramètres spécifiques par des données de localisation ou de mobilité, p. ex. des données de vitesse
H04W 36/14 - Resélection d'un réseau ou d'une interface hertzienne
The techniques described herein relate to a method including: collecting, by a processor, network data from a household network, the network data including one or more of device inventory data, application usage data, and network usage patterns; generating, by the processor, a feature vector based on the network data; inputting, by the processor, the feature vector into a machine learning model trained to predict future device additions to the household network; receiving, by the processor, a prediction from the machine learning model, the prediction identifying a device type predicted to be added to the household network; storing, by the processor, the prediction in a database; monitoring, by the processor, the household network to detect actual device additions; comparing, by the processor, the actual device additions with the prediction to determine a prediction accuracy value; and updating, by the processor, the machine learning model based on the prediction accuracy value.
Disclosed are systems and methods that provide a computerized network management framework that adaptively configures a network at a location to ensure connectivity and/or network services are maintained. The disclosed framework enables the implementation of multi-link operation (MLO) functionality within WiFi 7 enabled networks to implement non-disruptive off-channel scanning. The framework can utilize MLO backup/redundant links that can mitigate network disruptions in service/connectivity for client devices that are WiFi 7 capable during the performance of off-channel scanning of access point (AP) devices for a network by diverting network traffic to an activated MLO link while an available channel/radio (e.g., 5 GHz) is used to perform such off-channel scanning.
Disclosed are systems and methods that provide a novel framework for testing and configuring user equipment (e.g., a client device, for example) based on wireless access point (AP) simulations provided via an AP device. The disclosed framework can operate to provide accurate and efficient testing and wireless configuration of modeled devices based on the AP simulations. The disclosed AP device operates to simulate a client device (e.g., a mobile device, for example) physically moving from one AP to another, which is enabled via a set of AP chambers that are associated with the AP device, thereby enabling roaming activities, testing and configuration from a single device (and without requiring the client device to physically move).
Disclosed are systems and methods that provide a computerized network management framework that adaptively configures a network at a location to ensure connectivity and/or network services are maintained. The disclosed framework enables the implementation of multi-link operation (MLO) functionality within WiFi 7 enabled networks to implement non-disruptive channel availability check (CAC) capabilities. The framework can utilize MLO backup/redundant links that can mitigate network disruptions in service/connectivity for client devices that are WiFi 7 capable and utilize MLO functionality by diverting network traffic to an activated MLO link while an available channel/radio (e.g., 5 GHz) is used to perform the CAC operations.
Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.
H04L 43/08 - Surveillance ou test en fonction de métriques spécifiques, p. ex. la qualité du service [QoS], la consommation d’énergie ou les paramètres environnementaux
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
H04W 64/00 - Localisation d'utilisateurs ou de terminaux pour la gestion du réseau, p. ex. gestion de la mobilité
8.
SYSTEMS AND METHODS FOR WIRELESS NETWORK MANAGEMENT
Disclosed are computerized systems and methods for a decision intelligence (Dl)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.
H04L 43/08 - Surveillance ou test en fonction de métriques spécifiques, p. ex. la qualité du service [QoS], la consommation d’énergie ou les paramètres environnementaux
9.
ELECTRICAL PLUG FALL DETECTION IN A WIRELESS DEVICE
Systems and methods for detecting a first level disengagement of the wireless access point electrical plug with the electrical outlet and providing a notification responsive to the first level of disengagement of the electrical plug with the electrical outlet. Detecting a second level of disengagement that is larger than the first level disengagement of the electrical plug with the electrical outlet and turning off the power supply responsive to the second level disengagement. The response to the second level disengagement of the electrical plug with the electrical outlet includes turning off the power supply such that the one or more additional access points take over the Wi-Fi access from the access point. The sensor can be either mechanical or optical and the distance of detecting the first level and second level disengagement is measured in millimeters.
H05K 5/00 - Enveloppes, coffrets ou tiroirs pour appareils électriques
G01B 5/14 - Dispositions pour la mesure caractérisées par l'utilisation de techniques mécaniques pour mesurer une distance ou une marge entre des objets ou des ouvertures espacés
H01R 13/66 - Association structurelle avec des composants électriques incorporés
H04W 84/12 - Réseaux locaux sans fil [WLAN Wireless Local Area Network]
10.
SYSTEMS AND METHODS FOR WIRELESS NETWORK MANAGEMENT
Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.
H04L 41/0823 - Réglages de configuration caractérisés par les objectifs d’un changement de paramètres, p. ex. l’optimisation de la configuration pour améliorer la fiabilité
H04L 43/08 - Surveillance ou test en fonction de métriques spécifiques, p. ex. la qualité du service [QoS], la consommation d’énergie ou les paramètres environnementaux
11.
SYSTEMS AND METHODS FOR WIRELESS NETWORK MANAGEMENT
Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.
H04L 67/025 - Protocoles basés sur la technologie du Web, p. ex. protocole de transfert hypertexte [HTTP] pour la commande à distance ou la surveillance à distance des applications
12.
SYSTEMS AND METHODS FOR WIRELESS NETWORK MANAGEMENT
Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.
H04L 41/0813 - Réglages de configuration caractérisés par les conditions déclenchant un changement de paramètres
H04L 41/0823 - Réglages de configuration caractérisés par les objectifs d’un changement de paramètres, p. ex. l’optimisation de la configuration pour améliorer la fiabilité
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
13.
GEOGRAPHIC LIMITATION OF WI-FI ACCESS POINTS WITH CELLULAR CONNECTION
Systems and methods are provided for automatically provisioning customer-specific credentials on a gateway device, Customer Premises Equipment (CPE), or the like. A method, according to one implementation, includes the step of determining when a remote gateway device is connected to a Point-to-Point Protocol over Ethernet (PPPoE) server via a network. The remote gateway device is intended to enable one or more user devices in a Local Area Network (LAN) to access the Internet via the network and PPPoE server. The method also includes the step of automatically configuring customer-specific PPPoE credentials on the remote gateway device to thereby enable the PPPoE server to authenticate the remote gateway device and grant Internet access.
Disclosed are systems and methods that provide a novel framework for automatically and/or dynamically managing real-time usage and/or implementation of user-based devices, applications and/or accounts in relation to electronic, digital and/or network-based services and/or platforms. The framework operates to provide innovative mechanisms for cloud-based software deployment and user experience management. The framework leverages artificial intelligence (AI) to create and provide an intuitive, personalized and efficient upgrade process for applications installed and/or executing on user devices. The framework can leverage an AI-driven chatbot to engage with users, trigger application upgrade processes and other computerized mechanisms for user device, application and/or account management.
Disclosed are systems and methods that provide a novel framework for automatically and/or dynamically managing real-time usage and/or implementation of user-based devices, applications and/or accounts in relation to electronic, digital and/or network-based services and/or platforms. The framework operates to provide innovative mechanisms for cloud-based software deployment and user experience management. The framework leverages artificial intelligence (Al) to create and provide an intuitive, personalized and efficient upgrade process for applications installed and/or executing on user devices. The framework can leverage an AI- driven chatbot to engage with users, trigger application upgrade processes and other computerized mechanisms for user device, application and/or account management.
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p. ex. des réponses automatiques ou des messages générés par un agent conversationnel
H04L 51/046 - Interopérabilité avec d'autres applications ou services réseau
G06N 3/006 - Vie artificielle, c.-à-d. agencements informatiques simulant la vie fondés sur des formes de vie individuelles ou collectives simulées et virtuelles, p. ex. simulations sociales ou optimisation par essaims particulaires [PSO]
A Wi-Fi network includes one or more Wi-Fi access points each comprising circuitry configured to: provide a plurality of virtual networks including a home network and a work network, each of the plurality of virtual networks being segmented in terms of visibility, connect to a corporate network via one or more secure tunnels, connect to one or more user devices, and route traffic for the one or more user devices based on which particular virtual network the one or more user devices are connected on.
H04L 41/22 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets comprenant des interfaces utilisateur graphiques spécialement adaptées [GUI]
H04W 40/24 - Gestion d'informations sur la connectabilité, p. ex. exploration de connectabilité ou mise à jour de connectabilité
H04W 84/12 - Réseaux locaux sans fil [WLAN Wireless Local Area Network]
17.
Systems and methods for wireless network management
Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.
G06F 15/177 - Commande d'initialisation ou de configuration
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
H04L 43/08 - Surveillance ou test en fonction de métriques spécifiques, p. ex. la qualité du service [QoS], la consommation d’énergie ou les paramètres environnementaux
H04W 64/00 - Localisation d'utilisateurs ou de terminaux pour la gestion du réseau, p. ex. gestion de la mobilité
18.
SYSTEMS AND METHODS FOR NETWORK POLICY AND PARENTAL CONTROLS BASED ON SPATIAL AWARENESS
Disclosed are systems and methods that provide a computerized network management framework that provides novel network functionality for devices connected to and/or operating in proximity to wireless networks. The framework provides functionality for leveraging monitored and/or determined spatial awareness related to users and/or their devices in order to create intelligent network-based zones for which network management and/or connectivity can be provided, controlled and managed. The disclosed spatially intelligent zones can correspond to and/or be subject to applied network policies and/or parental controls, for which network activity within such zones can be managed and controlled. Accordingly, the disclosed framework can provide dynamic network capabilities and functionality based on the current position of the user within a location.
Disclosed are systems and methods that provide a computerized network management framework that provides novel network functionality for devices connected to and/or operating in proximity to wireless networks. The framework provides functionality for leveraging monitored and/or determined spatial awareness related to users and/or their devices in order to create intelligent network-based zones for which network management and/or connectivity can be provided, controlled and managed. The disclosed spatially intelligent zones can correspond to and/or be subject to applied network policies and/or parental controls, for which network activity within such zones can be managed and controlled. Accordingly, the disclosed framework can provide dynamic network capabilities and functionality based on the current position of the user within a location.
According to some embodiments, the disclosed method includes (i) configuring a wireless network, (ii) connecting, via the network, one or more network extenders to the network gateway, (iii) connecting one or more client devices to the wireless network, (iv) performing one or more network test operations on the wireless network, (v) determining, during the network test operations, connectivity throughput of the connection between each client device and the wireless network, and (vi) causing control of one or more of the one or more client devices, the one or more network extenders, or the network gateway based on the determined connectivity throughput between each client device and the wireless network.
H04W 16/22 - Outils ou modèles de simulation de trafic
H04L 43/0811 - Surveillance ou test en fonction de métriques spécifiques, p. ex. la qualité du service [QoS], la consommation d’énergie ou les paramètres environnementaux en vérifiant la disponibilité en vérifiant la connectivité
H04W 24/10 - Planification des comptes-rendus de mesures
According to some embodiments, the disclosed method includes (i) configuring a wireless network, (ii) connecting, via the network, one or more network extenders to the network gateway, (iii) connecting one or more client devices to the wireless network, (iv) performing one or more network test operations on the wireless network, (v) determining, during the network test operations, connectivity throughput of the connection between each client device and the wireless network, and (vi) causing control of one or more of the one or more client devices, the one or more network extenders, or the network gateway based on the determined connectivity throughput between each client device and the wireless network.
H04W 24/02 - Dispositions pour optimiser l'état de fonctionnement
H04L 43/08 - Surveillance ou test en fonction de métriques spécifiques, p. ex. la qualité du service [QoS], la consommation d’énergie ou les paramètres environnementaux
22.
MANAGING WEIGHT DISTRIBUTION FOR A PLUG-IN COMPACT ELECTRONIC DEVICE
The present disclosure is directed to a stabilizing adaptor configured to enhance the stability and durability of a Type C plug when inserted into a Type E socket. The stabilizing adaptor includes a housing aperture configured to surround and engage a plug housing on multiple sides, preventing bending and/or pulling of the plug prongs out of the Type E socket due to the weight of an electronic device that includes a Type C plug. The stabilizing adaptor features engagement protrusions that cooperate with flexible engagement tabs to ensure a secure fit against a plug housing. A ground pin aperture accommodates the ground pin of a Type E socket, and a contour of an outer wall of the stabilizing adaptor engage the walls of a socket void, ensuring a stable and reliable connection for heavier electronic devices.
The disclosure describes an interlocking grounding fastener system for a compact electronic device. In some embodiments, the system includes a first grounding fastener and a second grounding fastener configured to create a low-impedance electrical grounding connection between one or more of an antenna, a heatsink, a middle heat spreader, a bottom heat spreader, and a PCB. The first grounding fastener includes a driver engagement recess and/or threads for secure attachment to the second grounding fastener, while the second grounding fastener includes a shank with both fastening and non-fastening portions in some embodiments. These fasteners create an interlocking grounding fastener system that electrically couples the heatsink, the middle heat spreader, and the bottom heat spreader to form a grounding framework. In some embodiments, the grounding framework ensures efficient signal radiation and reception, as well as a robust grounding path for the antenna and/or PCB.
Disclosed is a method, implemented in a router in a Communication Service Provider (CSP) network, which includes connecting to a device via at least two connections where a first connection includes a first Wide Area Network (WAN) interface and a second connection includes a second WAN interface; receiving an encapsulated packet from one of the at least two connections where the encapsulated packet is destined for an Internet Protocol version 4 (IPv4) address on the Internet; and creating an IPv4 packet from the encapsulated packet by de-encapsulating the encapsulated packet and including an IPv4 public address in an IPv4 packet, wherein the IPv4 public address is associated with the router.
Disclosed are systems and methods that provide a computerized network management framework that adaptively configures hardware components providing a network at a location based on determined intelligence about the location, including behavioral patterns of users in/around the location. The framework can automatically, in a dynamic manner, trigger and toggle between operational modes of the network so as to provide or offer the necessary network capacity and coverage for current demands on the network. The framework enables a computerized balance between network performance and power savings by configuring the network hardware to operate at power levels specific to the current needs of the network's connected devices. Thus, the disclosed framework provides mechanisms for varying operational modes that meet the threshold needs of network requests, thereby ensuring expected performance of the network is maintained while reducing the power strain on the network components.
Disclosed are computerized systems and methods for a highly scalable, cloud-based AI/ML execution platform. The disclosed systems and methods provide a computerized framework that can generate and execute AI/ML models that provide agile, real-time predictions that can facilitate, cause and/or provide instructions for high-fidelity, real-time management of a multitude of cloud-based WiFi network locations, inclusive of the access points and/or user equipment operating therefrom/therein. The framework can cause a ML model to be trained that is then executed to generate a location-specific Al model that can then be executed to predict how a network can and/or should be configured based on current characteristics at the location, which can then be managed and put into place on at the location via the framework.
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
The disclosed computer-implemented method may include receiving telemetry data from a devices corresponding to a computing item and predicting performance factors for the computing item using the received telemetry data. The method may also include generate a weighting scheme and applying the weighting scheme to the performance factors to determine a performance metric for the computing item. Various other methods, systems, and computer-readable media are also disclosed.
Disclosed are computerized systems and methods for classification between radar events related to managing and controlling the network configuration and the connectivity of UE based therefrom. The disclosed framework operates to utilize inferred false alarm rates to determine or discern a classification and/or proportionality of the effects of factors of interest, which can impact a local network (e.g. zip code, day of week, time of day, location interference, and the like) to the false alarm rate. Accordingly, as discussed herein, the disclosed framework can compile controls and/or executable instructions that can manipulate, modify and/or optimize networks within particular regions of interest (or “decision regions”), such that, among other technical controls, can alter the DFS mode settings of APs, UEs and/or WiFi networks as a whole for particular locations.
Disclosed are computerized systems and methods for a highly scalable, cloud-based AI/ML execution platform. The disclosed systems and methods provide a computerized framework that can generate and execute AI/ML models that provide agile, real-time predictions that can facilitate, cause and/or provide instructions for high-fidelity, real-time management of a multitude of cloud-based WiFi network locations, inclusive of the access points and/or user equipment operating therefrom/therein. The framework can cause a ML model to be trained that is then executed to generate a location-specific AI model that can then be executed to predict how a network can and/or should be configured based on current characteristics at the location, which can then be managed and put into place on at the location via the framework.
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
H04L 43/022 - Capture des données de surveillance par échantillonnage
H04W 24/02 - Dispositions pour optimiser l'état de fonctionnement
H04W 84/12 - Réseaux locaux sans fil [WLAN Wireless Local Area Network]
30.
Systems and methods for an adaptive smart mesh topology
Disclosed are systems and methods that provide a computerized network management framework that provides functionality for devices connected to and/or operating in proximity to WiFi networks. The framework can determine and implement functionalities for the design of a network topology, whereby redundant pathways can be ensured by providing multiple paths for data between nodes, enhancing reliability and load balancing. The disclosed framework can enable automatic reconfiguration if a node fails or new nodes are added, such that an automatic topology adaptation to current environments/conditions is provided. The framework provides a mesh solution that is dependent on each location's unique client landscape that provides functionality for customized mechanisms to inject device information into the mesh topology optimization.
The disclosure is directed to a system configured to protect a chipset and/or central processing unit (CPU) from electrical interference and physical damage, while also addressing heat management issues prevalent in traditional shield case designs. The system includes a heat sink, a grounding shield, and a printed circuit board (PCB), that work in conjunction to protect and remove heat. The heat sink is both electrically and thermally conductive, facilitating heat removal from the PCB, CPU, and/or chipset. The grounding shield, in conjunction with the heat sink, forms a Faraday cage or electrical shielding around the PCB and/or chipset, safeguarding sensitive electronic components from external electromagnetic interference, static discharge, and mechanical damage. The system also improves airflow and efficiency, and transfers heat generated from the PCB, chipset, CPU, and electrical contact to the heat sink. This mitigates the risk of overheating, enhancing the performance and lifespan of the chips.
Disclosed are systems and methods that provide a computerized network management framework that provides functionality for devices connected to and/or operating in proximity to WiFi networks. The framework can determine and implement functionalities for the design of a network topology, whereby redundant pathways can be ensured by providing multiple paths for data between nodes, enhancing reliability and load balancing. The disclosed framework can enable automatic reconfiguration if a node fails or new nodes are added, such that an automatic topology adaptation to current environments/conditions is provided. The framework provides a mesh solution that is dependent on each location's unique client landscape that provides functionality for customized mechanisms to inject device information into the mesh topology optimization.
A thermal transfer device for thermally conducting heat from a heat source includes a first heat sink member arranged at a first side and a second heat sink member arranged at a second side opposite the first side. The thermal transfer device includes a first plate, at least one sidewall extending towards the second side from the first plate, and a plurality of fins. The second heat sink member includes a second plate. The first heat sink member and the second heat sink member can be in thermal connection with each other at a contact area for thermally conducting heat from the first heat sink member to the second heat sink member. The second plate is configured to distribute heat thermally conducted from the first heat sink member throughout the second plate.
Methods of forming apparatuses may include forming a rigid logo having a logo shape protruding from a rigid substrate, forming at least one aperture in a flexible backing, positioning the logo shape in the at least one aperture to protrude from a front surface of the flexible backing through the at least one aperture, and abutting a back surface of the flexible backing against the rigid substrate. Various other related methods and apparatuses are also disclosed.
Systems and methods of frequency planning for a cellular gateway in a Wi-Fi network include connecting to cellular infrastructure at a cellular frequency; providing a Wi-Fi connection at a Wi-Fi frequency selected to coexist with the cellular frequency; and responsive to interference between the cellular frequency and the Wi-Fi frequency, performing one or more actions to reduce the interference.
H04W 28/16 - Gestion centrale des ressourcesNégociation de ressources ou de paramètres de communication, p. ex. négociation de la bande passante ou de la qualité de service [QoS Quality of Service]
H04W 74/0816 - Accès non planifié, p. ex. ALOHA utilisant une détection de porteuse, p. ex. accès multiple par détection de porteuse [CSMA] avec évitement de collision
H04W 84/12 - Réseaux locaux sans fil [WLAN Wireless Local Area Network]
36.
WIRELESS COMMUNICATION DEVICES WITH ALIGNMENT FEATURES AND RELATED METHODS
A wireless communication device may include a first heat spreader including at least two main locating pins extending axially away from an inward-facing surface of the first heat spreader, a printed circuit board (PCB) adjacent to the first heat spreader, a second heat spreader adjacent to the PCB, a power board adjacent to the second heat spreader, and a third heat spreader adjacent to the power board. The third heat spreader may be secured to the at least two main locating pins to assemble the first heat spreader, PCB, second heat spreader, power board, and third heat spreader together. Various other devices and methods are related to such wireless communication devices.
Wireless communication devices may include a printed circuit board and a conductive pin structure. The printed circuit board may include a neutral power input and a live power input positioned at a first distance from each other. The conductive pin structure may include a neutral pin and a live pin positioned at a second, different distance from each other. A first sheet metal connector may electrically connect the neutral pin to the neutral power input and a second sheet metal connector may electrically connect the live pin to the live power input. Various other related devices, components, systems, and methods are also disclosed.
An antenna for wireless devices is disclosed, featuring a dual band inverted F antenna (IFA). The dual band IFA antenna includes a low band arm as well as a high band arm projecting from the low band arm, both utilizing a shared feed to facilitate dual-band operation. The high band arm, meandered across one or more planes, overlaps the low band arm to induce capacitive coupling, tuning the antenna for specific frequency bandwidths. The meandered low band arm generates regions of strong and weak electric fields, with a vertical portion of the high band arm aligned with one of these regions for optimal tuning. This configuration allows the antenna to maintain a compact form factor while resonating at both the low and high band frequencies. In some embodiments, the antenna is constructed by cutting and/or bending a continuous electrically conductive material.
H01Q 5/314 - Éléments rayonnants individuels ou couplés, chaque élément étant alimenté d’une façon non précisée utilisant des circuits ou des composants dont la réponse dépend de la fréquence, p. ex. des circuits bouchon ou des condensateurs
40.
SYSTEM AND METHODS FOR ESTABLISHING AND LEVERAGING SECURE ACCESS TO DATA ACROSS WI-FI NETWORKS
A Wi-Fi network-based system and methods are disclosed for securely managing and accessing secure user data. The system includes various Wi-Fi network configurations utilizing access points, mesh nodes, repeaters, and devices to facilitate data collection. A cloud-based management approach enables centralized control and efficient resource management. The system features a secure data processing application for real-time modification (and/or encryption) of user data at collection points, coupled with an access management application for managing secure data storage and access. The access management application enables a user to create multiple permission settings for requesters for data acquisition. Additional modules for consent management, user profile creation, data delivery, transaction recording, and key management ensure security and privacy compliance. The system offers a comprehensive solution for data security, addressing the challenges of protecting sensitive user data in digital platforms and complying with privacy regulations.
G06F 21/00 - Dispositions de sécurité pour protéger les calculateurs, leurs composants, les programmes ou les données contre une activité non autorisée
H04W 28/16 - Gestion centrale des ressourcesNégociation de ressources ou de paramètres de communication, p. ex. négociation de la bande passante ou de la qualité de service [QoS Quality of Service]
H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité
41.
SYSTEMS AND METHODS FOR WIFI MOTION SENSING WITH ADVANCED DEVICE LOCALIZATION
Disclosed are systems and methods that provide a decision-intelligence (Dl)-based, computerized framework for advanced device naming and localization of Wi-Fi connected devices at a location. The disclosed framework operates to manage, control and/or manipulate devices on a Wi-Fi network, which provides intuitive mechanisms to select devices to name, group and/or locate in a WiFi app with WiFi motion and/or detected gesture(s) by leveraging voting and ranking mechanisms via a compiled cross-correlation matrix of channel frequency response (CFR) motion signatures and/or channel state information (CSI) motion signatures. Accordingly, motion signature information can be leveraged to control, enable and/or permit Wi-Fi connections among and/or between devices at a location.
H04W 4/02 - Services utilisant des informations de localisation
H04W 12/63 - Sécurité dépendant du contexte dépendant de la localisationSécurité dépendant du contexte dépendant de la proximité
H04W 28/02 - Gestion du trafic, p. ex. régulation de flux ou d'encombrement
H04W 48/04 - Restriction d'accès effectuée dans des conditions spécifiques sur la base des données de localisation ou de mobilité de l'utilisateur ou du terminal, p. ex. du sens ou de la vitesse de déplacement
H04W 4/33 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les environnements intérieurs, p. ex. les bâtiments
H04W 4/50 - Fourniture de services ou reconfiguration de services
H04W 84/12 - Réseaux locaux sans fil [WLAN Wireless Local Area Network]
H04W 8/00 - Gestion de données relatives au réseau
Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for advanced device and/or user localization upon the occurrence of an event. The disclosed framework can detect the occurrence of an emergency, which can be localized and/or personal to a user or a global/regional event, and detect the presence and precise location of a user. The framework can enable the scanning of a geographical area for the presence of devices, which can be a specific type (e.g., smart ring). Upon detecting the presence of a ring, for example, the signal information from the emergency broadcast signal from the device can be analyzed and leveraged to pinpoint a location from the scanning device to the ring. This, therefore, enables a first responder to pinpoint the position at a location so they can be timely rescued. Accordingly, the disclosed framework improves how devices can operate for a live-saving purpose.
H04W 4/021 - Services concernant des domaines particuliers, p. ex. services de points d’intérêt, services sur place ou géorepères
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
H04W 4/06 - Répartition sélective de services de diffusion, p. ex. service de diffusion/multidiffusion multimédiaServices à des groupes d’utilisateursServices d’appel sélectif unidirectionnel
H04W 4/90 - Services pour gérer les situations d’urgence ou dangereuses, p. ex. systèmes d’alerte aux séismes et aux tsunamis
43.
SYSTEMS AND METHODS FOR WIFI MOTION SENSING WITH ADVANCED DEVICE LOCALIZATION
Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for advanced device naming and localization of Wi-Fi connected devices at a location. The disclosed framework operates to manage, control and/or manipulate devices on a Wi-Fi network, which provides intuitive mechanisms to select devices to name, group and/or locate in a WiFi app with WiFi motion and/or detected gesture(s) by leveraging voting and ranking mechanisms via a compiled cross-correlation matrix of channel frequency response (CFR) motion signatures and/or channel state information (CSI) motion signatures. Accordingly, motion signature information can be leveraged to control, enable and/or permit Wi-Fi connections among and/or between devices at a location.
H04W 48/04 - Restriction d'accès effectuée dans des conditions spécifiques sur la base des données de localisation ou de mobilité de l'utilisateur ou du terminal, p. ex. du sens ou de la vitesse de déplacement
In a Wi-Fi system having three or more Wi-Fi devices operating over multiple Wi-Fi bands, implementations include forming first and second connections between first and second pairs of Wi-Fi device, respectively. A first group of channels is assigned to a first Wi-Fi device for communicating with a second Wi-Fi device via the first connection using a first set of connection channels selected from the first group of assigned channels. A second group of channels (different from the first group) is assigned to the second Wi-Fi device, where the second group of assigned channels includes at least the first set of connection channels. The second Wi-Fi device communicates with the third Wi-Fi device via the second wireless connection using a second set of connection channels selected from the second group of assigned channels. The first group of assigned channels is different from the second group of assigned channels.
Embodiments of the present disclosure relate to systems and methods for enhancing the quality of service in Wi-Fi networks through the use of pre-provisioned cryptographic tunnels. The disclosed system leverages a cloud controller to dynamically manage the topology of distributed Wi-Fi networks. These networks are configured with a tunneling protocol that allows seamless roaming of client devices between different Wi-Fi networks, minimizing disruptions during transitions. The tunneling protocol is stateless with respect to actual connections and employs cryptographic keys for secure and efficient packet transmission. The system is capable of maintaining ongoing connections by using a single cryptographically correct frame to update network paths. A plurality of access points, managed by the cloud-based server, is configured to anticipate potential connections and assume control of active tunneling sessions, thereby enhancing the user experience during network transitions.
H04W 76/12 - Établissement de tunnels de transport
H04L 69/16 - Implémentation ou adaptation du protocole Internet [IP], du protocole de contrôle de transmission [TCP] ou du protocole datagramme utilisateur [UDP]
47.
SYSTEM AND METHODS FOR ESTABLISHING AND LEVERAGING SECURE ACCESS TO DATA ACROSS WI-FI NETWORKS
A Wi-Fi network-based system and methods are disclosed for securely managing and accessing secure user data. The system includes various Wi-Fi network configurations utilizing access points, mesh nodes, repeaters, and devices to facilitate data collection. A cloud-based management approach enables centralized control and efficient resource management. The system features a secure data processing application for real-time modification (and/or encryption) of user data at collection points, coupled with an access management application for managing secure data storage and access. The access management application enables a user to create multiple permission settings for requesters for data acquisition. Additional modules for consent management, user profile creation, data delivery, transaction recording, and key management ensure security and privacy compliance. The system offers a comprehensive solution for data security, addressing the challenges of protecting sensitive user data in digital platforms and complying with privacy regulations.
Disclosed are systems and methods that provide a computerized network management framework that provides novel network functionality for devices connected to and/or operating in proximity to WiFi and non-WiFi networks. The framework provides functionality for all types of network traffic to be handled properly and handed over between two networks seamlessly with minimal interruptions. The disclosed framework operates to transition a device's connection to a non-WiFi network (e.g., cellular network) from a WiFi network, and vice versa. Such performance of such functionality can correspond to, but is not limited to, network characteristics, parameters and/or attributes, network health, and the like, as well as geospatial positioning of the device, inclusive of the device's movement, which can be in relation to an access point or gateway for a network.
Disclosed are systems and methods that provide a computerized network management framework that provides novel network functionality for devices connected to and/or operating in proximity to WiFi and non-WiFi networks. The framework provides functionality for all types of network traffic to be handled properly and handed over between two networks seamlessly with minimal interruptions. The disclosed framework operates to transition a device's connection to a non-WiFi network (e.g.., cellular network) from a WiFi network, and vice versa. Such performance of such functionality can correspond to, but is not limited to, network characteristics, parameters and/or attributes, network health, and the like, as well as geospatial positioning of the device, inclusive of the device's movement, which can be in relation to an access point or gateway for a network.
H04W 88/06 - Dispositifs terminaux adapté au fonctionnement dans des réseaux multiples, p. ex. terminaux multi-mode
H04W 64/00 - Localisation d'utilisateurs ou de terminaux pour la gestion du réseau, p. ex. gestion de la mobilité
H04W 36/16 - Exécution d'une resélection à des fins spécifiques
H04W 36/30 - La resélection étant déclenchée par des paramètres spécifiques par des données de mesure ou d’estimation de la qualité des liaisons
H04W 48/18 - Sélection d'un réseau ou d'un service de télécommunications
H04W 36/32 - La resélection étant déclenchée par des paramètres spécifiques par des données de localisation ou de mobilité, p. ex. des données de vitesse
09 - Appareils et instruments scientifiques et électriques
38 - Services de télécommunications
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable software for network management, network
monitoring, for configuring computer networks, for providing
network connectivity, for providing online protection, for
enabling user tracking, for providing user connectivity, for
optimizing software efficiency, for performing network
operations center (NOC) functions, for congestion
management, for prioritizing data traffic, and for
establishing network as a service protocols; downloadable
mobile applications for collection, analysis, and sharing of
personal data; downloadable mobile applications for network
management; downloadable cloud-computing software for
network management, network monitoring, for configuring
computer networks, for providing network connectivity, for
providing online protection, for enabling user tracking, for
providing user connectivity, for optimizing software
efficiency, for performing network operations center (NOC)
functions, for congestion management, for prioritizing data
traffic, and for establishing network as a service
protocols; downloadable software for wireless equipment for
sharing data with the cloud; downloadable software and
mobile applications using artificial intelligence for
machine learning; downloadable electronic newsletters in the
field of networks, smart-homes, wireless networking
technology, and analytics, trends, and insights related to
network usage, device usage, and data analysis; motion
sensors and detectors; computer hardware, namely, wireless
access point (WAP) devices. Provision of access to the internet. Cloud computing and software as a service (SaaS) services
featuring software for use in network management, network
monitoring, for configuring computer networks, for providing
network connectivity, for providing online protection, for
enabling user tracking, for providing user connectivity, for
optimizing software efficiency, for performing network
operations center (NOC) functions, for congestion
management, for prioritizing data traffic, and for
establishing network as a service protocols; computer
network configuration services; technical consulting in the
field of artificial intelligence (AI) software
customization; technical research and consulting in the
fields of artificial intelligence software customization and
machine learning software customization; computer monitoring
service which tracks hardware performance and processes and
sends out historical reports and alerts; monitoring of
computer systems for detecting unauthorized access or data
breach; monitoring of computer systems to detect breakdowns;
electronic monitoring of motions using computers or sensors;
preparation of technical reports relating to motions using
computers or sensors; design, deployment and management of
wireless computer networks for others.
52.
COMPUTERIZED SYSTEMS AND METHODS FOR ADAPTIVE DEVICE PROTECTION
Disclosed are systems and methods that provide a computerized device management framework that adaptively determines and applies security and configuration parameters to a device on a first network, and enables the adaptive application of such parameters as the device disconnects and connects to other networks. The disclosed framework enables the automatic detection of different networks being relied upon by the device for access to the Internet, upon which, management control policies of the device's activities can be controlled and managed in a unified manner. Accordingly, the disclosed framework can enable security and configuration mechanisms applied on a first network, upon which they are associated, to be seamlessly applied on another disparate network via a virtual private network connection enabled via proprietary mechanisms implemented on the device.
An interactive gaming system and methods are disclosed, utilizing Wi-Fi technology to transform a geolocation into a dynamic gaming environment. The system employs multiple Wi-Fi networks broadcasting distinct primary and secondary Service Set Identifiers (SSIDs). In some embodiments, the primary SSID is secured for network owner use, while the secondary SSID is designated for public access, broadcasting game-related data, or “nuggets.” A gaming application on user devices detects these secondary SSIDs, enabling players to connect and interact with virtual game elements. The system synchronizes with a central server or cloud service to manage game logic and player progress, leveraging geolocation data for location-based challenges. Wi-Fi configurations are optimized for stable gameplay data transmission, with signal strength data used by the system to determine the broadcast range of game elements. The system supports user-created games, updates leaderboards, pushes notifications, promoting physical activity and providing an immersive gaming experience.
A63F 13/327 - Dispositions d’interconnexion entre des serveurs et des dispositifs de jeuDispositions d’interconnexion entre des dispositifs de jeuDispositions d’interconnexion entre des serveurs de jeu utilisant des connexions de réseau local [LAN] utilisant des réseaux sans fil, p. ex. Wi-Fi® ou piconet
A63F 13/216 - Dispositions d'entrée pour les dispositifs de jeu vidéo caractérisées par leurs capteurs, leurs finalités ou leurs types utilisant des informations géographiques, p. ex. la localisation du dispositif de jeu ou du joueur par GPS
A63F 13/533 - Commande des signaux de sortie en fonction de la progression du jeu incluant des informations visuelles supplémentaires fournies à la scène de jeu, p. ex. en surimpression pour simuler un affichage tête haute [HUD] ou pour afficher une visée laser dans un jeu de tir pour inciter une interaction avec le joueur, p. ex. en affichant le menu d’un jeu
A63F 13/5375 - Commande des signaux de sortie en fonction de la progression du jeu incluant des informations visuelles supplémentaires fournies à la scène de jeu, p. ex. en surimpression pour simuler un affichage tête haute [HUD] ou pour afficher une visée laser dans un jeu de tir utilisant des indicateurs, p. ex. en montrant l’état physique d’un personnage de jeu sur l’écran pour suggérer graphiquement ou textuellement une action, p. ex. en affichant une flèche indiquant un tournant dans un jeu de conduite
A63F 13/798 - Aspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour évaluer les compétences ou pour classer les joueurs, p. ex. pour créer un tableau d’honneur des joueurs
H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
Electronic devices may include at least one electronic component that generates heat during operation and a fan mechanism positioned and configured to induce flow of air to dissipate the heat generated by the at least one electronic component. A controller may be operably connected to the fan mechanism and programmed to intermittently operate the fan mechanism to repeatedly alternate between running the fan mechanism during a first predetermined time period and the fan mechanism being off during a second predetermined time period. Various other devices and methods are related to such electronic devices.
Disclosed are embodiments for a fan assembly that includes: a housing, the housing defines a fan chamber; a base member including a first metallic layer located on a first side of the base member, a second metallic layer located on a second side of the base member, a channel extending through the base member, the channel places the first side in fluid communication with the second side, and the second metallic layer is joined to the first metallic layer; and a fan, the fan is coupled to the base member adjacent the second side at the channel.
Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for determining the geolocation of a WiFi AP without using GPS information/data. The disclosed framework can operate to leverage positional information related to the location for which it is located and/or the devices for which that are connecting thereto, and based on computational analysis of such information, perform a periodic determination of its location, which can correspond to a positional range and/or a coordinate precise location. Accordingly, the disclosed computational analysis and determination can leverage WiFi links and/or data to/from the AP at the location to be part of the determination, and/or be used as a factor in performing the determination. Thus, the framework can perform operations implementing AFC via the geolocated AP devices.
Disclosed are systems and methods that provide a computerized network management framework that provides novel network optimization for WiFi networks. The framework provides operations for an Access Point (AP) to perform off-channel surveys using multiple radios to collect interference and other information without causing performance degradations. The framework can configure such APs with capabilities to operate on a DFS channel simultaneously. The framework can be implemented on a Mesh network where there are multiple APs, each with multiple radios in each frequency band. Accordingly, the framework can enable computational evaluations the client devices connected on each radio on each AP and intelligently schedule the radios to be used opportunistically for off channel surveys. This enables network management for which a WiFi network at a location can be configured and/or managed to ensure optimized network connectivity and throughput.
Rings and systems for finger gesture recognition include at least one antenna, a vector network analyzer (VNA), and a processor. The VNA may be configured to drive a test signal into the antenna(s) and measure a reflected frequency response. The processor may be configured to map the reflected frequency response to finger gestures performed by a user wearing the ring. Various other related systems and methods are also disclosed.
Systems and methods of detecting a parallel Wi-Fi network or a parallel Wi-Fi access point include operating a new Wi-Fi network at a location; analyzing Wi-Fi at the location; determining whether there is a parallel Wi-Fi network or a parallel Wi-Fi access point operating at the location with the new Wi-Fi network based on the analyzing; and, responsive to determining there is the parallel Wi-Fi network or the parallel Wi-Fi access point at the location, performing one or more of i) causing resolution of the parallel Wi-Fi network or the parallel Wi-Fi access point and ii) providing a notification to a user associated with the location.
Systems and methods for Wi-Fi network optimization include receiving inputs related to signal strength and interference during operation of the Wi-Fi network; performing an optimization to determine operational parameters of one or more access points in the Wi-Fi network, wherein the optimization is based on the inputs and is configured to address an objective associated with the Wi-Fi network; and providing outputs comprising the operational parameters for configuration of the Wi-Fi network, based on the optimization, wherein the operational parameters include channel and bandwidth selection, and topology of the one or more access points.
Disclosed are systems and methods that provide a decision-intelligence (Dl)-based, computerized framework for a decision intelligence (Dl)-based computerized framework for controlling and managing multiple devices that are capable of performing automated frequency coordination (AFC) within a particular location. The disclosed framework provides multiple operational solutions between devices, access points, and the like to avoid interference to incumbents. The disclosed framework provides novel capabilities for handling multiple devices that are capable of performing automated frequency coordination in unlicensed bands in a given location. The framework can control, manage and/or otherwise handle cases/instances of fairness of power and frequency allocation to ensure all users/devices receive the requisite power levels. The framework can handle interference from particular devices, portions of a set of devices and/or aggregations of devices within a location so that interference limits are not exceeded.
H04W 52/24 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué selon des paramètres spécifiques utilisant le rapport signal sur parasite [SIR Signal to Interference Ratio] ou d'autres paramètres de trajet sans fil
H04W 72/541 - Critères d’affectation ou de planification des ressources sans fil sur la base de critères de qualité en utilisant le niveau d’interférence
H04W 84/12 - Réseaux locaux sans fil [WLAN Wireless Local Area Network]
09 - Appareils et instruments scientifiques et électriques
38 - Services de télécommunications
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
(1) Downloadable software for network management, network monitoring, for configuring computer networks, for providing network connectivity, for providing online protection, for enabling user tracking, for providing user connectivity, for optimizing software efficiency, for performing network operations center (NOC) functions, for congestion management, for prioritizing data traffic, and for establishing network as a service protocols; downloadable mobile applications for collection, analysis, and sharing of personal data; downloadable mobile applications for network management; downloadable cloud-computing software for network management, network monitoring, for configuring computer networks, for providing network connectivity, for providing online protection, for enabling user tracking, for providing user connectivity, for optimizing software efficiency, for performing network operations center (NOC) functions, for congestion management, for prioritizing data traffic, and for establishing network as a service protocols; downloadable software for wireless equipment for sharing data with the cloud; downloadable software and mobile applications using artificial intelligence for machine learning; downloadable electronic newsletters in the field of networks, smart-homes, wireless networking technology, and analytics, trends, and insights related to network usage, device usage, and data analysis; motion sensors and detectors; computer hardware, namely, wireless access point (WAP) devices. (1) Provision of access to the internet.
(2) Cloud computing and software as a service (SaaS) services featuring software for use in network management, network monitoring, for configuring computer networks, for providing network connectivity, for providing online protection, for enabling user tracking, for providing user connectivity, for optimizing software efficiency, for performing network operations center (NOC) functions, for congestion management, for prioritizing data traffic, and for establishing network as a service protocols; computer network configuration services; technical consulting in the field of artificial intelligence (AI) software customization; technical research and consulting in the fields of artificial intelligence software customization and machine learning software customization; computer monitoring service which tracks hardware performance and processes and sends out historical reports and alerts; monitoring of computer systems for detecting unauthorized access or data breach; monitoring of computer systems to detect breakdowns; electronic monitoring of motions using computers or sensors; preparation of technical reports relating to motions using computers or sensors; design, deployment and management of wireless computer networks for others.
63.
SYSTEMS AND METHODS FOR NETWORK TOPOLOGY CONFIGURATION AND MANAGEMENT
Disclosed are systems and methods that provide a decision-intelligence (Dl)-based, computerized framework for automatically and dynamically determining a quantity and positioning of APs within a location, for which an optimized WiFi network can be realized. The disclosed framework can operate by determining a floor plan/layout of a location using tracked and analyzed channel metrics from the various WiFi devices in the location. Based upon the computational analysis of such metrics, the framework can identify the ideal spots for signal coverage, detect weak/dead spots for signal coverage, close the coverage hole gaps in the house, and the like. Thus, the network topology of a WiFi network, inclusive of the number of nodes in the topology, as well as the quantity of nodes, can be determined, configured and applied to a location, which can control how a location's network operates.
Disclosed are systems and methods for optimizing wireless network topology are disclosed, particularly for use in complex environments, such as Multi-Dwelling Units (MDUs). The disclosed framework provides uninterrupted wireless connectivity and an enhanced user experience by dynamically managing network connections and executing seamless handoffs between APs. The framework manages connections to wireless access points (APs) based on the physical layout of the environment and/or user behavior. The framework effectuates receiving data on the network's physical structure and AP locations, tracking client device movement, and predicting the client device's path to proactively manage network resources. The framework can reserve resources at APs along the predicted path and establish a virtual tunnel to facilitate seamless handoff between APs as the client device moves. Adjustments to the network resources and virtual tunnel are made in response to changes in the client device's movement, which includes skipping APs in some embodiments.
Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for a decision intelligence (DI)-based computerized framework for controlling and managing multiple devices that are capable of performing automated frequency coordination (AFC) within a particular location. The disclosed framework provides multiple operational solutions between devices, access points, and the like to avoid interference to incumbents. The disclosed framework provides novel capabilities for handling multiple devices that are capable of performing automated frequency coordination in unlicensed bands in a given location. The framework can control, manage and/or otherwise handle cases/instances of fairness of power and frequency allocation to ensure all users/devices receive the requisite power levels. The framework can handle interference from particular devices, portions of a set of devices and/or aggregations of devices within a location so that interference limits are not exceeded.
H04W 52/24 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué selon des paramètres spécifiques utilisant le rapport signal sur parasite [SIR Signal to Interference Ratio] ou d'autres paramètres de trajet sans fil
H04W 52/34 - Gestion du TPC, c.-à-d. partage de la quantité limitée de puissance entre les utilisateurs ou les canaux ou encore les types de données, p. ex. charge des cellules
66.
SYSTEMS AND METHODS FOR NETWORK TOPOLOGY CONFIGURATION AND MANAGEMENT
Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for automatically and dynamically determining a quantity and positioning of APs within a location, for which an optimized WiFi network can be realized. The disclosed framework can operate by determining a floor plan/layout of a location using tracked and analyzed channel metrics from the various WiFi devices in the location. Based upon the computational analysis of such metrics, the framework can identify the ideal spots for signal coverage, detect weak/dead spots for signal coverage, close the coverage hole gaps in the house, and the like. Thus, the network topology of a WiFi network, inclusive of the number of nodes in the topology, as well as the quantity of nodes, can be determined, configured and applied to a location, which can control how a location's network operates.
Disclosed are systems and methods for optimizing wireless network topology are disclosed, particularly for use in complex environments, such as Multi-Dwelling Units (MDUs). The disclosed framework provides uninterrupted wireless connectivity and an enhanced user experience by dynamically managing network connections and executing seamless handoffs between APs. The framework manages connections to wireless access points (APs) based on the physical layout of the environment and/or user behavior. The framework effectuates receiving data on the network's physical structure and AP locations, tracking client device movement, and predicting the client device's path to proactively manage network resources. The framework can reserve resources at APs along the predicted path and establish a virtual tunnel to facilitate seamless handoff between APs as the client device moves. Adjustments to the network resources and virtual tunnel are made in response to changes in the client device's movement, which includes skipping APs in some embodiments.
H04W 36/32 - La resélection étant déclenchée par des paramètres spécifiques par des données de localisation ou de mobilité, p. ex. des données de vitesse
The disclosed apparatus is configured to include (i) a shield can configured to reduce electromagnetic interference between components inside the shield can and components outside the shield can; (ii) a physical processor inside the shield can that includes a first region and a second region; and (iii) one or more spacer pads situated between and in contact with the shield can and the first region, but not in contact with the second region. Various other embodiments and modifications are also disclosed.
Systems and methods for Wi-Fi network failover to cellular connection with throttling of traffic include detecting an outage on wired connections for any of the plurality of Wi-Fi networks; determining the any of the plurality of Wi-Fi networks have switched to a cellular connection as a failover based on the outage; and determining whether to throttle traffic on any cellular connection based on the failover and instructing corresponding gateways accordingly.
Wireless communication systems and methods are provided for receiving user inputs as request to change the state of a wireless communication link between first and second wireless devices. A device, according to one implementation, includes a casing and an internal sensor arranged within the casing. The internal sensor is configured to electrically receive user input that is unrelated to manipulation of user-actuated mechanical components moveable with respect to the casing. The device further includes a decoding device configured to decode the user input as a request to change the state of a wireless communication link with a secondary device.
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G06F 3/0346 - Dispositifs de pointage déplacés ou positionnés par l'utilisateurLeurs accessoires avec détection de l’orientation ou du mouvement libre du dispositif dans un espace en trois dimensions [3D], p. ex. souris 3D, dispositifs de pointage à six degrés de liberté [6-DOF] utilisant des capteurs gyroscopiques, accéléromètres ou d’inclinaison
H04W 76/14 - Établissement de la connexion en mode direct
Systems and methods are provided for identifying a user device. In one implementation, a method may include the steps of monitoring one or more user devices operating on a Wi-Fi network, analyzing usage parameters with respect to each of the one or more user devices, and identifying the one or more user devices based on the usage parameters. Also, according to additional implementations, the method may include analyzing, over time, the usage parameters with respect to each of the one or more user devices. Based on the usage parameters analyzed over time, the method may include the step of creating one or more behavioral models associated with one or more users, where each behavioral model may represent a usage pattern of a respective user according to how the user uses at least one of the user devices.
Disclosed are systems and methods that provide a computerized network management framework that provides novel network optimization for WiFi networks. The framework provides operations that can operate in a "device aware" DFS mode, which is configured to enable the implementation of additional DFS channels. The disclosed device aware DFS mode can enable, cause and/or effectuate the spread of Wi-Fi communications over more channels, thereby reducing interference and congestion, while improving the quality of experience (QoE) for users with devices connected to such networks. The computerized implementations for deploying DFS mode within a WiFi network at a location can leverage the extensive use of DFS channels where applicable, while preserving the non-DFS tunings at locations with critical devices that do not support DFS capabilities.
H04W 28/18 - Négociation des paramètres de télécommunication sans fil
H04W 16/14 - Dispositions de partage du spectre de fréquence
H04W 40/16 - Sélection d'itinéraire ou de voie de communication, p. ex. routage basé sur l'énergie disponible ou le chemin le plus court sur la base de la qualité d'émission ou de la qualité des canaux sur la base des interférences
Disclosed are systems and methods that provide a computerized network management framework that provides novel network optimization for WiFi networks. The framework provides operations that can operate in a “device aware” DFS mode, which is configured to enable the implementation of additional DFS channels. The disclosed device aware DFS mode can enable, cause and/or effectuate the spread of Wi-Fi communications over more channels, thereby reducing interference and congestion, while improving the quality of experience (QoE) for users with devices connected to such networks. The computerized implementations for deploying DFS mode within a WiFi network at a location can leverage the extensive use of DFS channels where applicable, while preserving the non-DFS tunings at locations with critical devices that do not support DFS capabilities.
System and methods are provided for building intelligence around IoT devices that can prioritize an attack sphere, such that scanning and protection can be focused on risky spheres before others that may be less at risk. The attack spheres include specific device types, vendors, geographic locations, demographics, or organizations. Priority based vulnerability scanning and protection is utilized along with the concept of attack spheres to define priority zones which may be unique. Priority computation based on trend analysis and predictive analysis is used to determine the vulnerability of specific devices and groups of devices. This will significantly reduce the attack exposure and ensures the proactive damage control.
An antenna for an electronic device comprising of a metal-sheet antenna and an antenna feed connecting the metal-sheet antenna to a radio frequency (RF) printed circuit board (PCB). A screw configured to operate as a ground feed for the metal-sheet antenna and to provide mechanical support in the electronic device wherein the screw is further configured to provide radiation for additional bands for the antenna. The metal-sheet antenna supports a first band, and the screw supports a second band, based on dimensions of a screw boss, and a third band, based on a gap between the screw boss and the metal-sheet antenna.
System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data for Wi-Fi metric based alarms, each Wi-Fi metric based alarm being associated with detection of one of an offline Wi-Fi network of the plurality of Wi-Fi networks, an offline node of the Wi-Fi network, instability of the Wi-Fi network, congestion in the Wi-Fi network, and interference in the Wi-Fi network; determining the Wi-Fi metric based alarms based on the analyzing; and performing one or more actions based on the determined Wi-Fi metric based alarms.
H04L 41/5041 - Gestion des services réseau, p. ex. en assurant une bonne réalisation du service conformément aux accords caractérisée par la relation temporelle entre la création et le déploiement d’un service
H04L 41/0253 - Échange ou transport d’informations de gestion de réseau en utilisant l’InternetIntégration de serveurs de gestion du Web dans des éléments de réseauProtocoles basés sur les services du Web en utilisant un navigateur ou des pages du Web pour accéder aux informations de gestion
H04L 41/12 - Découverte ou gestion des topologies de réseau
H04L 41/147 - Analyse ou conception de réseau pour prédire le comportement du réseau
H04L 41/22 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets comprenant des interfaces utilisateur graphiques spécialement adaptées [GUI]
H04L 43/045 - Traitement des données de surveillance capturées, p. ex. pour la génération de fichiers journaux pour la visualisation graphique des données de surveillance
H04L 43/0876 - Utilisation du réseau, p. ex. volume de charge ou niveau de congestion
H04L 43/0882 - Utilisation de la capacité de la liaison
System and methods include obtaining Wi-Fi network data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers and obtaining customer data for each customer associated with the plurality of Wi-Fi networks, the customer data including call-ins made by customers; aggregating and filtering the data; analyzing the aggregated and filtered data including correlating the call-ins made by customers to the Wi-Fi network data; predicting customer call-ins based on correlations made between the call-ins made by customers and the Wi-Fi network data; and initiating a customer outreach workflow prior to a predicted customer call-in.
H04W 24/02 - Dispositions pour optimiser l'état de fonctionnement
H04L 41/0253 - Échange ou transport d’informations de gestion de réseau en utilisant l’InternetIntégration de serveurs de gestion du Web dans des éléments de réseauProtocoles basés sur les services du Web en utilisant un navigateur ou des pages du Web pour accéder aux informations de gestion
H04L 41/12 - Découverte ou gestion des topologies de réseau
H04L 41/147 - Analyse ou conception de réseau pour prédire le comportement du réseau
H04L 41/22 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets comprenant des interfaces utilisateur graphiques spécialement adaptées [GUI]
H04L 43/045 - Traitement des données de surveillance capturées, p. ex. pour la génération de fichiers journaux pour la visualisation graphique des données de surveillance
H04L 43/0876 - Utilisation du réseau, p. ex. volume de charge ou niveau de congestion
H04L 43/0882 - Utilisation de la capacité de la liaison
Disclosed are systems and methods that provide a novel functional, computerized testing framework for testing and configuring WiFi sensing applications, devices and/or environments. WiFi sensing technology has shown remarkable potential in various fields, including object detection, indoor positioning, environmental monitoring, and more. The disclosed, innovative framework provides a comprehensive, technical solution for WiFi sensing technology by utilizing a suite of testing and configuration tools and methodologies to evaluate the performance and accuracy of WiFi sensing systems in various real-world scenarios. Through controlled experiments and data analysis, the disclosed framework can fine-tune devices and/or application for improved performance of WiFi sensing operations.
The disclosure describes an antenna that is formed from a continuous material according to some embodiments. In some embodiments, the antenna includes a plurality of individual antenna modules each formed from the continuous material. In some embodiments, each antenna module is configured to resonate at a plurality of frequencies. In some embodiments, each antenna module is configured to receive a voltage and/or current from a single feeder. In some embodiments, each of the antenna modules are effectively electrically isolated from each other. In some embodiments, each antenna module includes one or more driven portions and one or more parasitic portions. In some embodiments, the one or more driven portions are configured and/or arranged to induce a voltage in the one or more parasitic portions.
H01Q 19/00 - Combinaisons d'éléments actifs primaires d'antennes avec des dispositifs secondaires, p. ex. avec des dispositifs quasi optiques, pour donner à une antenne une caractéristique directionnelle désirée
81.
AUTOMATICALLY RECONFIGURABLE ANTENNA CIRCUIT FOR ENABLING OPERATION WITHIN MULTIPLE FREQUENCY BANDS
A wearable ring includes an inner surface and an outer surface; a first antenna component and a second antenna component, each disposed between the inner surface and the outer surface; a first electrical circuit connecting a first end portion of the first antenna component with a first end portion of the second antenna component; and a second electrical circuit connecting a second end portion of the first antenna component with a second end portion of the second antenna component, and wherein, based on configuration of the first electrical circuit and the second electrical circuit, the first antenna component and second antenna component are configured to operate in a given frequency band.
Electrical plugs may include a first conductive pin and a second conductive pin extending from a base structure. A first insulating sleeve may surround a first base portion of the first pin and a second insulating sleeve may surround a second base portion of the second pin. Each of the first insulating sleeve and the second insulating sleeve may have a wall thickness of between about 0.10 mm and about 0.30 mm. Various other related devices, systems, and methods are also disclosed.
H01R 24/28 - Pièces de couplage portant des broches, des lames ou des contacts analogues, assujetties uniquement à un fil ou un câble
H01R 13/405 - Fixation d'une manière non démontable, p. ex. par moulage, rivetage
H01R 43/20 - Appareils ou procédés spécialement adaptés à la fabrication, l'assemblage, l'entretien ou la réparation de connecteurs de lignes ou de collecteurs de courant ou pour relier les conducteurs électriques pour assembler les pièces de contact avec le socle isolant, le boîtier ou le manchon ou pour les en désassembler
83.
SYSTEMS AND METHODS FOR ADAPTIVE, LEARNED CONTROL OF NETWORK AND CONNECTED DEVICES
Disclosed are systems and methods that provide a computerized location management framework for deterministically managing, controlling and/or configuring. energy and/or network availability, consumption and/or usage by devices at the location. The disclosed framework operates to find and leverage “green hours” at a location based on the network usage of the devices operating at and/or providing the network for the location (e.g., smart phones connected to a Wi-Fi network at the location and/or an access point (AP) device providing the Wi-Fi network, for example). Accordingly, such identified “green hours” can be identified and leveraged to reduce the location's carbon footprint as well as optimize the network for improved network availability and usage via the connected devices.
Disclosed are systems and methods that via the disclosed functionality, can involve receiving, from a wearable included in a controlled network, data representative of a gesture executed by a wearer of the wearable. The systems and methods may additionally include recognizing, based on the data representative of the gesture, the gesture executed by the wearer. The system and method may also include identifying, via at least one location sensor, a physical location of the wearer. The system and method may also include directing, based on the gesture executed by the wearer and the physical location of the wearer, a management device included in the controlled network to execute a management action. Various other systems, methods, and computer-readable media are also disclosed.
G05B 19/042 - Commande à programme autre que la commande numérique, c.-à-d. dans des automatismes à séquence ou dans des automates à logique utilisant des processeurs numériques
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
85.
SYSTEMS AND METHODS FOR GESTURE-BASED AUTHENTICATION
In some implementations, a disclosed method may include receiving, from a wearable, data representative of a gesture executed by a wearer of the wearable, and recognizing, based on the data representative of the gesture, the gesture executed by the wearer. The disclosed method may also include identifying, based on the data representative of the gesture, the wearer via a machine learning model trained to identify biomechanical characteristics of wearers based on gesture data. The disclosed method may also include executing, based on the gesture executed by the wearer and identifying of the wearer, a security action directed to a secured device. Various other systems, methods, and computer-readable media are also disclosed.
G06Q 20/32 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des dispositifs sans fil
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
86.
SYSTEM AND METHOD FOR SHARED DEVICE USAGE ATTRIBUTION AND CONTROL THEREFROM
Disclosed are systems and methods that provide a novel framework for personalized device management and control. The framework can automatically and dynamically attribute temporal and/or spatial device usage to individuals, which can be leveraged to control how a device operates and/or how applications accessible such devices can operate. Accordingly, as discussed herein, the determined device attribution to specific users, at specific times and/or within specific positions of a location, can provide novel control for how connected devices on a network operate, as well as how the network can operate. Moreover, energy consumption and network connectivity variables can be controlled based on such determined and leveraged attribution.
An access point of a wireless communication network may be configured to receive a solicited wireless communication from an electronic device in response to a request, the solicited wireless communication being transmitted by the electronic device over a channel of the wireless communication network. The access point may extract channel characteristics from the solicited wireless communication, the channel characteristics being timing-dependent effects on the channel associated with the solicited wireless communication. The access point may generate a device fingerprint based at least in part on the channel characteristics, the device fingerprint being specific to hardware of the electronic device. Using the device fingerprint, the access point or another device may determine an identification, indicative of at least one of an identity or a device type, of the electronic device based on a stored device profile representative of at least one authenticated electronic device.
Disclosed are systems and methods that provide a computerized device management framework that deterministically identifies and applies device warranty policies that manage how devices can be properly used, as well as the real-world and digital circumstances of such usage respective to approved activities subject to a warranty policy review. The disclosed framework can automatically detect a device's connection to a network (e.g., a Wi-Fi network), and based on information related to the device and the established connection, inter alia, determine which type of warranty policy to enact for the device and/or user of the device. The policy determination can effectuate the type of policy, term and/or conditions and exclusions that dictate how the device and/or activity related to the device are covered under the policy, and the real-world/digital manners for which the device can be utilized.
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
H04W 8/18 - Traitement de données utilisateur ou abonné, p. ex. services faisant l'objet d'un abonnement, préférences utilisateur ou profils utilisateurTransfert de données utilisateur ou abonné
09 - Appareils et instruments scientifiques et électriques
38 - Services de télécommunications
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable software for network management, network monitoring, for configuring computer networks, for providing network connectivity, for providing online protection, for enabling user tracking, for providing user connectivity, for optimizing software efficiency, for performing Network Operations Center (NOC) functions, for congestion management, for prioritizing data traffic, and for establishing Network as a Service protocols; Downloadable mobile applications for collection, analysis, and sharing of personal data; Downloadable mobile applications for network management; Downloadable cloud-computing software for network management, network monitoring, for configuring computer networks, for providing network connectivity, for providing online protection, for enabling user tracking, for providing user connectivity, for optimizing software efficiency, for performing Network Operations Center (NOC) functions, for congestion management, for prioritizing data traffic, and for establishing Network as a Service protocols; Downloadable software for wireless equipment for sharing data with the cloud; Downloadable software and mobile applications using artificial intelligence for machine learning; Downloadable electronic newsletters in the field of networks, smart-homes, wireless networking technology, and analytics, trends, and insights related to network usage, device usage, and data analysis; Motion sensors and detectors; Computer hardware, namely, wireless access point (WAP) devices Provision of access to the internet Cloud computing and Software as a service (SAAS) services featuring software for use in network management, network monitoring, for configuring computer networks, for providing network connectivity, for providing online protection, for enabling user tracking, for providing user connectivity, for optimizing software efficiency, for performing Network Operations Center (NOC) functions, for congestion management, for prioritizing data traffic, and for establishing Network as a Service protocols; Computer network configuration services; Technical consulting in the field of artificial intelligence (AI) software customization; technical research and consulting in the fields of artificial intelligence software customization and machine learning software customization; Computer monitoring service which tracks hardware performance and processes and sends out historical reports and alerts; Monitoring of computer systems for detecting unauthorized access or data breach; Monitoring of computer systems to detect breakdowns; Electronic monitoring and reporting of motion using computers or sensors; design, deployment and management of wireless computer networks for others
90.
SYSTEM AND METHOD FOR PERSONALIZED APPLICATION MANAGEMENT
Disclosed are systems and methods that provide a novel framework for personalized application control management for a user. The framework can provide dynamically determined, customized application management mechanisms that provide non-native functionality to applications and/or the devices executing thereon to enable, thwart and/or manipulate how applications can be accessed, which features are accessible and/or whether such applications and/or features are accessible via connected network functionality. The comprehensive application optimization framework provides a robust management and control tool that can impart functional operations to manage how devices and/or networks operate respective to applications' access requests, which can be dependent on learned activities corresponding to specific times and/or locations.
In some implementations, the techniques described herein relate to a method including: classifying motion data and network device usage data in a networked environment; integrating the classified motion data and the network device usage data to create a combined dataset; processing the combined dataset to identify correlations between the motion data and the network device usage data; and using the identified correlations to predict an occupancy state of the environment.
In some implementations, the techniques described herein relate to a method including: collecting, by a processor, Wi-Fi sense data (WSD) associated with a client device in a network, wherein the WSD includes wireless characteristics indicative of one of a movement or position of the client device; generating, by the processor, a movement signature for the client device based on the WSD; classifying, by the processor, a fine-grained type of the client device utilizing the movement signature; and storing, by the processor, the fine-grained type in a storage device.
H04W 64/00 - Localisation d'utilisateurs ou de terminaux pour la gestion du réseau, p. ex. gestion de la mobilité
H04B 7/06 - Systèmes de diversitéSystèmes à plusieurs antennes, c.-à-d. émission ou réception utilisant plusieurs antennes utilisant plusieurs antennes indépendantes espacées à la station d'émission
Disclosed are systems and methods that provide a novel functional, computerized testing framework for an integrated, unified standard testbed for network (e.g., WiFi) devices. In some aspects, the disclosed framework involves components referred to as OpenSync Reference Testbed (OSRT) and Unified Standard Testbed (USTB). OSRT provides a reference testbed for end-to-end (E2E) system testing for firmware release verification (FRV) and for functional unit testing (FUT). USTB corresponds to standard devices, software images, wiring schemes, and the process for setting up and running a functional testbed for networked devices. In some embodiments, OSRT can include a fully assembled USTB with a predetermined number (e.g., three (3)) of reference extenders, which can allow for the testing configuration and functionality discussed herein. The disclosed framework can provide novel functionality for testing, verifying and configuring network equipment and connections for a particular and/or set of software stacks.
Systems and methods for operating a radio system include configuring a first antenna of a plurality of antennas in a wireless device to operate in a configured mode of a plurality of modes, wherein the plurality of modes include a first mode of operating as a quarter wave for operation in a 2.4 GHz band, a second mode of operating as a half wave for operation in a 5 GHz band, and a third mode of operating simultaneous as a half wave and a quarter wave for operation in both the 2.4 GHz band and the 5 GHz band; and operating a first radio of a plurality of radios connected to the first antenna in the configured mode of the first antenna.
H01Q 5/50 - Dispositions d’alimentation ou d’adaptation pour un fonctionnement à large bande ou multibande
H04B 1/00 - Détails des systèmes de transmission, non couverts par l'un des groupes Détails des systèmes de transmission non caractérisés par le milieu utilisé pour la transmission
H04B 1/48 - Commutation transmission-réception dans des circuits pour connecter l'émetteur et le récepteur à une voie de transmission commune, p. ex. par l'énergie de l'émetteur
H04L 1/00 - Dispositions pour détecter ou empêcher les erreurs dans l'information reçue
H04L 12/18 - Dispositions pour la fourniture de services particuliers aux abonnés pour la diffusion ou les conférences
H04L 27/26 - Systèmes utilisant des codes à fréquences multiples
H04W 4/06 - Répartition sélective de services de diffusion, p. ex. service de diffusion/multidiffusion multimédiaServices à des groupes d’utilisateursServices d’appel sélectif unidirectionnel
H04W 52/14 - Analyse séparée de la liaison montante ou de la liaison descendante
H04W 52/18 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué selon des paramètres spécifiques
H04W 52/24 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué selon des paramètres spécifiques utilisant le rapport signal sur parasite [SIR Signal to Interference Ratio] ou d'autres paramètres de trajet sans fil
H04W 52/28 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué selon des paramètres spécifiques utilisant le profil utilisateur, p. ex. la vitesse, la priorité ou l'état du réseau, p. ex. en attente, libre ou absence de transmission
H04W 52/36 - Commande de puissance d'émission [TPC Transmission power control] utilisant les limitations de la quantité totale de puissance d'émission disponible avec une plage ou un ensemble discrets de valeurs, p. ex. incrément, variation graduelle ou décalages
H04W 52/46 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué dans des situations particulières dans des réseaux à bonds multiples, p. ex. des réseaux de retransmission sans fil
H04W 52/50 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué dans des situations particulières au moment de déclencher une communication dans un environnement à accès multiple
H04W 52/54 - Aspects de signalisation des instructions TPC, p. ex. structure de trame
H04W 72/044 - Affectation de ressources sans fil sur la base du type de ressources affectées
A packaging system for retaining an annular shaped unit in a vertically aligned position relative to a base plane, the packaging system may include a carrier base including a first receptacle, and a retaining member including a second receptacle and a wedge, the wedge being configured to retain the annular shaped unit in the second receptacle in the vertically aligned position, the retaining member being arranged in the first receptacle. The first receptacle may include a bottom surface having a concave shape corresponding to a shape of the annular shaped unit. The packaging system may also include a container including a base member and a top member. The base member being adapted to receive the carrier base therein, and the top member being configured to receive the base member therein, the container being configured to fully contain the carrier base, retaining member, and annular shaped unit therein.
A61B 50/30 - Récipients spécialement adaptés à l'emballage, la protection, la distribution, la collecte ou l'élimination des appareils ou des instruments chirurgicaux ou de diagnostic
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/145 - Mesure des caractéristiques du sang in vivo, p. ex. de la concentration des gaz dans le sang ou de la valeur du pH du sang
A61B 50/20 - Équipements de support spécialement adaptés aux appareils ou aux instruments chirurgicaux ou de diagnostic
96.
COMPUTERIZED ELECTRONIC ENVIRONMENTAL CONTROL SYSTEM AND METHODS THEREOF
Disclosed are systems and methods that provide a novel framework for personalized environmental control to optimize user sleep and wakefulness. The framework can include dynamically controlling devices within a user's home environment based on a computerized bedtime or waketime schedule. The disclosed framework can operate to temporally modify an location-based environment for a user, which can correspond to how devices function, whether they are on/off, whether they are accessible (e.g., turned on or off), and the like. Accordingly, the framework can automatically control how devices operate a location based on activity patterns of a user so as to enable peak performance of particular activities (e.g., better sleep due to device thresholding).
A61M 21/02 - Autres dispositifs ou méthodes pour amener un changement dans l'état de conscienceDispositifs pour provoquer ou arrêter le sommeil par des moyens mécaniques, optiques ou acoustiques, p. ex. pour mettre en état d'hypnose pour provoquer le sommeil ou la relaxation, p. ex. par stimulation directe des nerfs, par hypnose ou par analgésie
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre
97.
DEVICE TYPE AND LOCATION RESOLUTION IN A WIRELESS FIDELITY (WI-FI) NETWORK
In some implementations, the techniques described herein relate to a method including: transmitting, by an access point, a message to a wireless device and receiving a response to the message, the response including a list of access points nearby the wireless device; determining, by the access point, a location of the wireless device based on the list of access points utilizing a trilateration algorithm; determining, by the access point, a type of the wireless device; identifying, by the access point, one or more nearby wireless devices within a threshold proximity to the wireless device; and categorizing, by the access point, one of the wireless device or a location of the wireless device based on the one or more nearby wireless devices and the type of the wireless device.
H04W 64/00 - Localisation d'utilisateurs ou de terminaux pour la gestion du réseau, p. ex. gestion de la mobilité
G01S 5/02 - Localisation par coordination de plusieurs déterminations de direction ou de ligne de positionLocalisation par coordination de plusieurs déterminations de distance utilisant les ondes radioélectriques
H04B 17/309 - Mesure ou estimation des paramètres de qualité d’un canal
H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
H04W 36/00 - Dispositions pour le transfert ou la resélection
Disclosed are systems and methods that provide a computerized network management framework that adaptively configures a network at a location to ensure connectivity and/or network services are maintained. The disclosed framework enables the implementation of multi-link operation (MLO) functionality within WiFi 7 enabled networks to implement non-disruptive off-channel scanning. The framework can utilize MLO backup/redundant links that can mitigate network disruptions in service/connectivity for client devices that are WiFi 7 capable during the performance of off-channel scanning of access point (AP) devices for a network by diverting network traffic to an activated MLO link while an available channel/radio (e.g., 5 GHZ) is used to perform such off-channel scanning.
According to some embodiments, the disclosed device includes a printed circuit board (PCB) including a radio frequency feed component; a power source including a metallic jacket; and an antenna coupling component. The antenna component can be coupled to the radio frequency feed component. The antenna component can additionally be coupled to the metallic jacket, such that radio frequency signals delivered to the antenna coupling component from the radio frequency feed component cause the metallic jacket to emit radio frequency radiation.
Disclosed are systems and methods that provide a computerized control and management framework that is configured to operate to control the manner in which applications and/or devices upon which such applications are executing can function, if at all. The disclosed framework can provide prediction features that leverage learned behaviors of users when interacting with an application and/or computing device (e.g., smart phone, for example). Accordingly, the disclosed framework can provide non-native capabilities to such Apps and/or devices to control, manage and/or modify how the Apps and/or associated devices can be accessed, utilized and/or interacted with by a user and/or other Apps, devices, platforms and systems.
