Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: An antenna module includes a first antenna radiator including a feeding terminal, a second antenna radiator, a first ground radiator, a second ground radiator and a capacitive element. The second antenna radiator is disposed on one side of the first antenna radiator, and a first gap is formed between a main portion of the second antenna radiator and the first antenna radiator. The first ground radiator is disposed on another side of the first antenna radiator, and a second gap is formed between the first antenna radiator and the first antenna radiator. The second ground radiator is disposed between the second antenna radiator and the first ground radiator, and a third gap is formed between the second ground radiator and a first branch of the second antenna radiator. The capacitive element is disposed on the third gap and connects the second antenna radiator and the second ground radiator.

Abstract: A deployment system for IoT including an edge server, multiple gateways, and multiple agent modules is disclosed. Each gateway is respectively connected with different peripheral devices to support different function. The edge server includes a flow editor used to edit a flow for a target gateway. The edge server performs a deploying procedure to the target gateway in accordance with the flow, wherein the deploying procedure is to first read a script and a parameter of one or more function nodes included in the flow, then encapsulate the script and the parameter into a packet, and then transmit the packet to the target gateway through one of the agent modules. The target gateway receives the packet through one of the agent modules and sequentially executes the function nodes according to the content of the flow, so as to implement a corresponding IoT function.

Abstract: A deployment system for IoT including an edge server, multiple gateways, and multiple agent modules is disclosed. Each gateway is respectively connected with different peripheral devices to support different function. The edge server includes a flow editor used to edit a flow for a target gateway. The edge server performs a deploying procedure to the target gateway in accordance with the flow, wherein the deploying procedure is to first read a script and a parameter of one or more function nodes included in the flow, then encapsulate the script and the parameter into a packet, and then transmit the packet to the target gateway through one of the agent modules. The target gateway receives the packet through one of the agent modules and sequentially executes the function nodes according to the content of the flow, so as to implement a corresponding IoT function.

Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: A method for a CPU to execute artificial intelligence related processes is disclosed. The method includes: when executing TensorFlow on an electronic device, calling a corresponding AI model of TensorFlow according to content of program codes; determining and obtaining one or multiple sparse matrixes used by the AI model in performing calculations; executing a matrix simplifying procedure to the one or multiple sparse matrixes; executing an instruction transforming procedure to an instruction set applied for the AI model; issuing an instruction to a weighted CPU of the electronic device by the AI model according to transformed instruction set; and the weighted CPU, after receiving the instruction, averagely distributing multiple procedures indicated by the AI model to each of multiple threads of the weighted CPU to be respectively executed according to a weighting value of each of the multiple procedures.

Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: A method for a CPU to execute artificial intelligence related processes is disclosed. The method includes: when executing TensorFlow on an electronic device, calling a corresponding AI model of TensorFlow according to content of program codes; determining and obtaining one or multiple sparse matrixes used by the AI model in performing calculations; executing a matrix simplifying procedure to the one or multiple sparse matrixes; executing an instruction transforming procedure to an instruction set applied for the AI model; issuing an instruction to a weighted CPU of the electronic device by the AI model according to transformed instruction set; and the weighted CPU, after receiving the instruction, averagely distributing multiple procedures indicated by the AI model to each of multiple threads of the weighted CPU to be respectively executed according to a weighting value of each of the multiple procedures.

Abstract: The present disclosure is directed to systems and methods of providing systems and methods of autonomously generating summary documents based, at least in part, on a plurality of queries provided by a system user. The systems and methods disclosed herein include processor circuitry to identify a plurality of information sources for a specific topic guided by an ontology with specific concepts and relations. The systems and methods disclosed herein also include processor circuitry to generate user-focused extractive text summarization from each of at least some of the plurality of identified information sources using a plurality of queries supplied by the user/researcher.

Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: In discrete event simulation (DES), a timepoint for the DES is incremented. At the increments, event modules are executed to process members of at least one population class according to flow of the members amongst the event modules as defined by application programming interfaces (APIs). The event modules transform attributes of the members according to probabilistic event models defined by event model parameter files. DES data comprising attributes of the members at end-of-simulation are stored. In another aspect, simulation of a system model having parameters with associated probability density functions (PDFs) includes M outer loops each including: for each parameter, randomly drawing a parameter value with replacement from a set of discrete sampling points distributed over the PDF of the parameter; and running N simulations of the system using the system model with the randomly drawn parameter values and storing the simulation results annotated by the randomly drawn parameter values.

Abstract: Rapid prototyping of a process in a business domain, such as a healthcare domain or the United States healthcare domain, is disclosed. A computer is programmed to perform discrete event simulation (DES) of a scenario in the business domain. The DES is defined by a plurality of resources having resource attributes, a plurality of events having event attributes, and a plurality of entities having entity attributes. The computer is programmed to implement a DES simulator configured to run the scenario including performing time steps per resource in which the entities experience events.

Abstract: A method for peer-to-peer multimedia data sharing suitable for an electronic device is provided. The method includes the following step: scanning at least one sink device having Peer-to-Peer connectivity; determining a candidate device from the at least one sink device according a distance between the electronic device and the at least one sink device; deriving a beacon from the candidate device; establishing a Peer-to-Peer connection with the candidate device according to the beacon; and transmitting multimedia data to the candidate device.

Abstract: A method for presenting application list is disclosed, which is applied to an electronic device. The method includes activating a list arrangement program which reads several applications and generates categorized application list accordingly. Each application is associated with one of the categories, and includes objects representing the application. The categorized application list includes several groups, each of them includes a category name of one category and the objects associating with one or more applications under the category. The method further includes receiving the control command for displaying one of the groups at the index region of the user interface of the electronic device. The index region is arranged at the side of the user interface. Thus, an application list which is categorized may be provided for improving the convenience of accessing applications.

Abstract: A content sharing method for a first electronic device is provided. The method includes: scanning several wireless signals and determining several slave electronic devices sending the wireless signals; according to the wireless signals, calculating a wireless signal strength corresponding to each slave electronic device; and according to the wireless signal strengths of the slave electronic devices, choosing a first slave electronic device among the slave electronic devices, wherein the wireless signal strength of the first slave electronic device is stronger than the wireless signal strengths of the other wireless signal strengths among the wireless signal strengths. The method further includes: building up a connection to the first slave electronic device; and, through the connection, automatically sending a content played in the first electronic device to the first slave electronic device and synchronously displaying the content on the first slave electronic device.

Abstract: A wearable device, an electronic apparatus and a method for recording user actions are provided. The wearable device includes a body, at least one sensor and a memory module. An outer part of the body includes a surface, and an internal part includes an accommodating space. The sensor senses touching actions of a user to the surface, and records the location, the force and the number of the touching actions with respective to the surface, so as to form touching information corresponded to the touching actions. Thus, when the user is dressed the wearable device, the sensor senses and stores instinctive physical touching actions of the user relative to the user body covered by the wearable device, and the touching actions can become the basis of the diagnosis by the doctor.

Abstract: A method of playing an internet video for an electronic device is disclosed. The method includes receiving data associated with the internet video from a network, wherein the video data includes information of a highest resolution and a lowest resolution of the internet video; determining a first display resolution range according to a network bandwidth utilized by the electronic device; and selecting a first resolution for playing the internet video according to the first display resolution range and whether the electronic device has stored a complete data associated with the internet video with the highest resolution.