Abstract: Systems and methods for performing single I/O writes are provided. According to one embodiment, responsive to receipt of a write operation from a client by a file system layer of a node of a distributed storage system and a data payload of the operation having been determined to meet a compressibility threshold, an intermediate storage layer of the node logically interposed between the file system layer and a block storage media is caused to perform a single input/output (I/O) write operation that persists the compressed data payload and corresponding metadata to support asynchronous journaling of the write operation. The single I/O write operation coupled with the use of a new pool file that maintains a list of available blocks for single I/O write operations and a modified node crash recovery approach allows the write operation to be acknowledged to the client while the journaling is performed asynchronously.

Abstract: Methods, systems, and media for providing contextual information associated with webpages are provided.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Method and system for supporting protection of MBS traffic in wireless network. Embodiments herein disclose a method and a system for supporting protection of Multi-cast Broadcast Service (MBS) traffic in a wireless network. The method includes receiving security information in a MBS announcement by user equipment (UE) (100).

Abstract: Disclosed are various embodiments for data anomaly detection. A variable profile is generated for each variable in source data. Then, the variable profiles are provided to each of a plurality of machine learning models. Next, it is determined, with each of the plurality of machine learning models, whether each variable profile is anomalous. The determination, from each of the plurality of machine learning models, whether each variable profile is anomalous is provided to an ensemble model. The ensemble model then generates a final determination whether each variable profile is anomalous. The final determination is then reported to an analysis service.

Abstract: Techniques are disclosed for providing a notification indicating an identity of a first person based on face-associated body characteristics. For example, a device performs facial recognition to identify the identity of the first person shown in a first video feed. The device also identifies and stores physical characteristic information of the first person from the first video feed, the stored information associated with the identity of the first person based on the recognized face. Subsequently, the device receives a second video feed showing a second person whose face is determined to not be recognized by the device. The device compares the stored physical characteristic information of the first person with additional physical characteristic information of the second person shown in the second video feed. Based on the comparison, the device provides a notification indicating whether the identity of the second person corresponds to the identity of the first person.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Embodiments herein disclose methods for managing a paging operation in a wireless network (1000) by a UE (100). The method includes receiving a paging message from a network device (200), where the UE (100) is in a Radio Resource Control (RRC) inactive state. Further, the method includes determining whether the UE (100) has received at least one of a core network (CN) paging and a group paging in the paging message. Further, the method includes sending at least one of a UE identity, an access type and a Temporary Mobile Group Identity (TMGI) to an upper layer upon determining that the UE (100) simultaneously receives the CN paging and the group paging in the paging message. Further, the method includes transiting the UE (100) into a Radio Resource Control (RRC) idle state from the RRC inactive state.

Abstract: Techniques are disclosed for providing a notification that a person is at a particular location. A method can include accessing a first image of a first face of a first person, the first image captured by a first camera of the first device. The method can further include generating an image cropping comprising a first portion of the first face. The method can further include receiving, from a second device comprising a second camera, a second image comprising a second portion of a second face of a second person, the second camera having a viewable area comprising a particular location associated with the first device. The method can further include determining a score that corresponds to a level of similarity between a first set of characteristics associated with the first portion of the first face and a second set of characteristics associated with the second portion of the second face.

Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.

Abstract: Channel assignment for wireless access networks is directed toward improved overall communication capability of the networks. A network is formed of wireless access points (APs) coupled via wired (and/or wireless) links and enabled to communicate with clients via radio channels of each of the APs. Local information is collected at each of the APs and processed to determine channel assignments according to a Neighbor Impact Metric (NIM) that accounts for one-hop and two-hop neighbors as well as neighbors not part of the network. Optionally, the NIM accounts for traffic load on the APs. The channel assignments are determined either on a centralized resource (such as a server or one of the APs) or via a distributed scheme across the APs. The local information includes how busy a channel is and local operating conditions such as error rate and interference levels.

Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.

Abstract: Channel assignment for wireless access networks is directed toward improved overall communication capability of the networks. A network is formed of wireless access points (APs) coupled via wired (and/or wireless) links and enabled to communicate with clients via radio channels of each of the APs. Local information is collected at each of the APs and processed to determine channel assignments according to a Neighbor Impact Metric (NIM) that accounts for one-hop and two-hop neighbors as well as neighbors not part of the network. Optionally, the NIM accounts for traffic load on the APs. The channel assignments are determined either on a centralized resource (such as a server or one of the APs) or via a distributed scheme across the APs. The local information includes how busy a channel is and local operating conditions such as error rate and interference levels.

Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.

Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.

Abstract: Improvements in a circuit with a glanceable indicator(s) for power checking and short testing in electrical power supplies is disclosed. Providing a reliable, easily understandable indication of electrical integrity will save consumers time and money by allowing them to quickly and accurately determine whether a power supply is causing an issue or lack of function with their powered device. By eliminating (or identifying) the power supply as the cause of the issue, the consumer will be able to troubleshoot quicker and have a better experience with their devices.

Abstract: A radio frequency transmission device that triggers electromechanical actions wirelessly using smart device electrical behavior is disclosed. This invention allows for the uninterrupted capture of electrical events while the smart device processes first trigger inside a software loop and can wirelessly create useful actions based on electrical events. It also allows for plug and play functionality of wireless RF repetitive functionality to smart device installations. This is best exemplified by a smart doorbell installation with our RF transmitter attached to a plug-in power supply that allows for continuous functionality and repeated ringing of a chime triggered by an RF signal.

Abstract: Channel assignment for wireless access networks is directed toward improved overall communication capability of the networks. A network is formed of wireless access points (APs) coupled via wired (and/or wireless) links and enabled to communicate with clients via radio channels of each of the APs. Local information is collected at each of the APs and processed to determine channel assignments according to a Neighbor Impact Metric (NIM) that accounts for one-hop and two-hop neighbors as well as neighbors not part of the network. Optionally, the NIM accounts for traffic load on the APs. The channel assignments are determined either on a centralized resource (such as a server or one of the APs) or via a distributed scheme across the APs. The local information includes how busy a channel is and local operating conditions such as error rate and interference levels.

Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.

Abstract: Improvements in a circuit with a glanceable indicator(s) for power checking and short testing in electrical power supplies is disclosed. Providing a reliable, easily understandable indication of electrical integrity will save consumers time and money by allowing them to quickly and accurately determine whether a power supply is causing an issue or lack of function with their powered device. By eliminating (or identifying) the power supply as the cause of the issue, the consumer will be able to troubleshoot quicker and have a better experience with their devices.

Abstract: A radio frequency transmission device that triggers electromechanical actions wirelessly using smart device electrical behavior is disclosed. This invention allows for the uninterrupted capture of electrical events while the smart device processes first trigger inside a software loop and can wirelessly create useful actions based on electrical events. It also allows for plug and play functionality of wireless RF repetitive functionality to smart device installations. This is best exemplified by a smart doorbell installation with our RF transmitter attached to a plug-in power supply that allows for continuous functionality and repeated ringing of a chime triggered by an RF signal.

Abstract: Channel assignment for wireless access networks is directed toward improved overall communication capability of the networks. A network is formed of wireless access points (APs) coupled via wired (and/or wireless) links and enabled to communicate with clients via radio channels of each of the APs. Local information is collected at each of the APs and processed to determine channel assignments according to a Neighbor Impact Metric (NIM) that accounts for one-hop and two-hop neighbors as well as neighbors not part of the network. Optionally, the NIM accounts for traffic load on the APs. The channel assignments are determined either on a centralized resource (such as a server or one of the APs) or via a distributed scheme across the APs. The local information includes how busy a channel is and local operating conditions such as error rate and interference levels.