Abstract: A method for assessing movement of a body portion includes, via one or more machine learning models, analyzing a sensor signal indicative of movement of the body portion to determine a movement of the body portion; determining a sensor confidence level based, at least in part, on a characteristic of the sensor signal; receiving a series of images indicative of movement of the body portion; measuring an angle of movement of the body portion; determining a vision confidence level based, at least in part, on a quality of an identification the body portion; selecting the sensor signal, the measured angle of movement, or a combination thereof as an input into a machine learning model based on the sensor confidence level and the vision confidence level, respectively; analyzing the input to determine a movement pattern of the body portion; and outputting the movement pattern to a user.

Abstract: Devices, systems, and methods for monitoring musculoskeletal (MSK) health conditions of an individual, including joint flexibility, strength, and endurance as part of their overall care plan are described here. The overall system includes: a sensor that can be worn anywhere on the human body, an engaging app on a mobile-computing device, and software-based analytics and care management engine running on a cloud-computing infrastructure. The sensor is tuned to measure any human joint movement in any direction or axis as well as elevation and temperature. Methods performed by the various devices and systems and how it improves MSK health are provided.

Abstract: Devices, systems, and methods for monitoring musculoskeletal (MSK) health conditions of an individual, including joint flexibility, strength, and endurance as part of their overall care plan are described here. The overall system includes: a sensor that can be worn anywhere on the human body, an engaging app on a mobile-computing device, and software-based analytics and care management engine running on a cloud-computing infrastructure. The sensor is tuned to measure any human joint movement in any direction or axis as well as elevation and temperature. Methods performed by the various devices and systems and how it improves MSK health are provided.

Abstract: Certain embodiments described herein relate to methods and systems for detecting unexpected behavior associated with a process. In certain embodiments, a method comprises receiving a memory allocation request, the request indicating one or more memory segments to be allocated in memory of a computing system. The method further comprises allocating the one or more memory segments in the memory based on the memory allocation request. The method further comprises allocating one or more decoy memory segments in the memory based on the memory allocation request. The method further comprises trapping an input/output (I/O) operation. The method further comprises detecting an unexpected behavior associated with the I/O operation based on determining that the I/O operation impacts at least one of the one or more decoy memory segments. The method further comprises performing one or more actions based on the detection.

Abstract: Devices, systems, and methods for monitoring musculoskeletal (MSK) health conditions of an individual, including joint flexibility, strength, and endurance as part of their overall care plan are described here. The overall system includes: a sensor that can be worn anywhere on the human body, an engaging app on a mobile-computing device, and software-based analytics and care management engine running on a cloud-computing infrastructure. The sensor is tuned to measure any human joint movement in any direction or axis as well as elevation and temperature. Methods performed by the various devices and systems and how it improves MSK health are provided.

Abstract: Techniques for generating and implementing data privacy policies are described. In an example, metadata associated with a data source is annotated with attributes indicative of the data contained therein and its associated sensitivity. Based on the annotated metadata and the contexts in which the data will be accessed, including the purpose for accessing the data, the role of the accessor, and the location of the accessor, privacy policies are generated from a privacy model. The privacy policies are generated with a collection of methods for protecting the data in the data source upon access. Based on a privacy policy and a target computing environment, an executable instance of the privacy policy is generated and deployed in the target computing environment to protect the data.

Abstract: Devices, systems, and methods for monitoring musculoskeletal (MSK) health conditions of an individual, including joint flexibility, strength, and endurance as part of their overall care plan are described here. The overall system includes: a sensor that can be worn anywhere on the human body, an engaging app on a mobile-computing device, and software-based analytics and care management engine running on a cloud-computing infrastructure. The sensor is tuned to measure any human joint movement in any direction or axis as well as elevation and temperature. Methods performed by the various devices and systems and how it improves MSK health are provided.

Abstract: The disclosure provides an approach for compliance management in a network. Embodiments include receiving, by a manager, a system health plugin. Embodiments include determining a configuration change for a network. Embodiments include receiving data indicating a current security posture of the network. Embodiments include determining an impact to the security posture of the network based on the configuration change. Embodiments include generating a notification relating to the impact to the security posture of the network. Embodiments include receiving a decision relating to the configuration change in response to the notification. Embodiments include performing an action based on the decision.

Abstract: A method for assessing movement of a body portion includes, via one or more machine learning models, analyzing a sensor signal indicative of movement of the body portion to determine a movement of the body portion; determining a sensor confidence level based, at least in part, on a characteristic of the sensor signal; receiving a series of images indicative of movement of the body portion; measuring an angle of movement of the body portion; determining a vision confidence level based, at least in part, on a quality of an identification the body portion; selecting the sensor signal, the measured angle of movement, or a combination thereof as an input into a machine learning model based on the sensor confidence level and the vision confidence level, respectively; analyzing the input to determine a movement pattern of the body portion; and outputting the movement pattern to a user.

Abstract: The disclosure provides an approach for compliance management in a network. Embodiments include receiving, by a manager, a system health plugin. Embodiments include determining a configuration change for a network. Embodiments include receiving data indicating a current security posture of the network. Embodiments include determining an impact to the security posture of the network based on the configuration change. Embodiments include generating a notification relating to the impact to the security posture of the network. Embodiments include receiving a decision relating to the configuration change in response to the notification. Embodiments include performing an action based on the decision.

Abstract: The embodiment herein provides a system and method for providing a novel leader election mechanism in distributed systems that is randomized in twin dimensions of space and time using the concept of a colliding random walk (CRW). Leader election is randomized in space in terms of the node identified as the leader and the time taken to identify the leader. A source node is enabled to generate left and right coupons in a quantum resistant manner for random walks. A novel fault tolerance mechanism is provided to identify several leaders for same set of coupons. In this system and method, the source vertex generates multiple CRWs for each piece of work that needs to be done. The fault tolerance mechanism reduces the time to collision, increases the number of leaders and also offers increased resilience and tolerance to faults.

Abstract: Certain embodiments described herein relate to methods and systems for detecting unexpected behavior associated with a process. In certain embodiments, a method comprises receiving a memory allocation request, the request indicating one or more memory segments to be allocated in memory of a computing system. The method further comprises allocating the one or more memory segments in the memory based on the memory allocation request. The method further comprises allocating one or more decoy memory segments in the memory based on the memory allocation request. The method further comprises trapping an input/output (I/O) operation. The method further comprises detecting an unexpected behavior associated with the I/O operation based on determining that the I/O operation impacts at least one of the one or more decoy memory segments. The method further comprises performing one or more actions based on the detection.

Abstract: The embodiments herein provide a fair, high speed and lightweight consensus mechanism for leader election in distributed systems using coupons. The consensus mechanism uses a leader election mechanism that is randomized in twin dimensions of space and time using the concept of a colliding random walk. A source node is enabled to generate left and right coupons in a quantum resistant manner for random walks. Two novel coupon processing mechanisms called Process Execution Time Synchronization (PETS) mechanism and Single Queue (SQ) mechanism are used to process the coupons and find matches. The use of PETS optimizes memory and time requirements while SQ is extremely fast and efficient to handle large volumes of coupons. Also, the coupon forwarding to neighbouring nodes is performed based on three algorithms namely Uniform, Delay and Adaptive Delay forward. These forwarding algorithms effect high fairness even in case of open networks.

Abstract: A method for assessing movement of a body portion includes, via one or more machine learning models, analyzing a sensor signal indicative of movement of the body portion to determine a movement of the body portion; determining a sensor confidence level based, at least in part, on a characteristic of the sensor signal; receiving a series of images indicative of movement of the body portion; measuring an angle of movement of the body portion; determining a vision confidence level based, at least in part, on a quality of an identification the body portion; selecting the sensor signal, the measured angle of movement, or a combination thereof as an input into a machine learning model based on the sensor confidence level and the vision confidence level, respectively; analyzing the input to determine a movement pattern of the body portion; and outputting the movement pattern to a user.

Abstract: Devices, systems, and methods for monitoring musculoskeletal (MSK) health conditions of an individual, including joint flexibility, strength, and endurance as part of their overall care plan are described here. The overall system includes: a sensor that can be worn anywhere on the human body, an engaging app on a mobile-computing device, and software-based analytics and care management engine running on a cloud-computing infrastructure. The sensor is tuned to measure any human joint movement in any direction or axis as well as elevation and temperature. Methods performed by the various devices and systems and how it improves MSK health are provided.

Abstract: The embodiments herein provide a fair, high speed and lightweight consensus mechanism for leader election in distributed systems using coupons. The consensus mechanism uses a leader election mechanism that is randomized in twin dimensions of space and time using the concept of a colliding random walk. A source node is enabled to generate left and right coupons in a quantum resistant manner for random walks. Two novel coupon processing mechanisms called Process Execution Time Synchronization (PETS) mechanism and Single Queue (SQ) mechanism are used to process the coupons and find matches. The use of PETS optimizes memory and time requirements while SQ is extremely fast and efficient to handle large volumes of coupons. Also, the coupon forwarding to neighbouring nodes is performed based on three algorithms namely Uniform, Delay and Adaptive Delay forward. These forwarding algorithms effect high fairness even in case of open networks.

Abstract: The embodiment herein provides a system and method for providing a novel leader election mechanism in distributed systems that is randomized in twin dimensions of space and time using the concept of a colliding random walk (CRW). Leader election is randomized in space in terms of the node identified as the leader and the time taken to identify the leader. A source node is enabled to generate left and right coupons in a quantum resistant manner for random walks. A novel fault tolerance mechanism is provided to identify several leaders for same set of coupons. In this system and method, the source vertex generates multiple CRWs for each piece of work that needs to be done. The fault tolerance mechanism reduces the time to collision, increases the number of leaders and also offers increased resilience and tolerance to faults.

Abstract: Data is organized in a knowledge network by defining a set of nodes, each node comprising data describing knowledge and a task pertinent to the knowledge, and defining relationships between the nodes based on the data.

Abstract: Data is organized in a knowledge network by defining a set of nodes, each node comprising data describing knowledge and a task pertinent to the knowledge, and defining relationships between the nodes based on the data.

Abstract: Data is organized in a knowledge network by defining a set of nodes, each node comprising data describing knowledge and a task pertinent to the knowledge, and defining relationships between the nodes based on the data.