Nec Corporation

Kosuke Nishihara

Kazuhisa Ishizaka

Yuji Ohno

Makoto Yasukawa

Yuzo Senda

Katsunori Tanaka

Kentaro Nakahara

Kenichiro Fukushi

Katsutoshi Seki

Atsushi Hatabu

Tomoyoshi Kobori

Soji Mori

Norihiko Taya

Yoshitaka Nozaki

An exercise assisting apparatusincludes: a division unitconfigured to divide sample motion informationindicating motions of a sample person doing exercise into a plurality of pieces of motion element information, according to regularity of the motions of the sample person; and a generation unitconfigured to generate an inference model by causing a pre-trained modelto learn time-series antecedent dependency of the plurality of pieces of motion element information, the inference model inferring motions of a target person, based on target motion informationindicating the motions of the target person doing exercise.

Rehabilitation assisting apparatus displaying difference from exemplary motions for decision making

A training device including a motion data acquisition unit that acquires first motion data related to a target motion, a first generation unit that generates pseudo first motion data by using a first generation model, a determination unit that calculates a determination loss indicating a degree of deviation between the first motion data and the pseudo first motion data using a determination model, a relevance calculation unit that reconfigures the target motion by a combination of basis motions and calculate a degree of relevance between the target motion and the basis motions, a regularization loss calculation unit that calculates a regularization loss indicating a degree of deviation between motion data related to the basis motions and the pseudo first motion data, and an adversarial training processing unit that adversarially trains the first generation model and the determination model using the determination loss and the regularization loss.

Training device, data extension system, estimation device, training method, and recording medium

Exercise assisting apparatus, exercise assisting method, and recording medium for decision making

Generating inference model for decision making regarding rehabilitation from motions of sample person

Exercise assisting apparatus displaying difference from exemplary motions

A classification apparatus includes: an encoding module that includes an element classification part that extracts a feature of input data and outputs classification information based on an element classification model stored in a first storage unit; an integration module that includes an element estimation part that receives the classification information and converts the classification information to a collation vector based on an element estimation model stored in a second storage unit; and a determination module that includes a determination part that determines a group to which the collation vector belongs by collating the collation vector with a representative vector of an individual group stored as a semantic model in a third storage unit and outputs a group ID of the group as a classification result.

Classification apparatus, classification method, and program

A parameter determination unitsubstitutes, for each of a plurality of applications, a recommended amount of resources and a quality of experience corresponding to the recommended amount of resources, and a minimum amount of resources and a quality of experience corresponding to the minimum amount of resources into a quality function f in expression (1) indicating a relation between an amount of resources R and a quality of experience Q, to determine parameters a and b. A resource amount determination unitdetermines an amount of resources to be allocated to the plurality of applications using the quality function f for each application in which the parameters a and b are determined. The quality function f(x) is a monotonically increasing function having an inverse function f, connects (&#x2212;&#x221e;,0) and (+&#x221e;,1), and is symmetrical with respect to x=0.()=(()/)&#x2003;&#x2003;(1)

Resource allocation apparatus, resource allocation method, and computer readable medium

To reduce performance degradation due to a high-performance core's waiting for a processing result of a low-performance core in a multi-core processor including a plurality of cores with different running performance, included are a task pool that stores executable tasks for each computational core, a task scheduler, and a reference count analysis module that acquires hint information and a reference count estimation method from a running task and estimates a reference count of a task to be newly inserted into the task pool or a task existing in the task pool based on the specified method. The scheduler performs insertion and acquisition of a task by mainly using performance of the cores and the reference count.

Task allocation device, task allocation method, and storage medium storing task allocation program

In a multi-core processor system, cache memories are provided respectively for a plurality of processors. An assignment management unit manages assignment of tasks to the processors. A cache status calculation unit calculates a cache usage status such as a memory access count and a cache hit ratio, with respect to each task. A first processor handles a plurality of first tasks that belong to a first process. If computation amount of the first process exceeds a predetermined threshold value, the assignment management unit refers to the cache usage status to preferentially select, as a migration target task, one of the plurality of first tasks whose memory access count is smaller or whose cache hit ratio is higher. Then, the assignment management unit newly assigns the migration target task to a second processor handling another process different from the first processor.

Computational resource assignment device, computational resource assignment method and computational resource assignment program

Provided are a synchronization control section that executes a current thread and a reference thread in parallel, a waiting time calculation section that calculates the time needed for the reference thread to reach a second synchronization point as a waiting time of the current thread when the reference thread does not reach the second synchronization point at a time when the current thread reaches a first synchronization point, a quality difference calculation section that estimates a quality difference between data that the current thread generates by referring to processing data at the second synchronization point of the reference thread and data that the current thread generates without referring to the processing data, and a synchronization determination section that determines whether to make the current thread wait until the reference thread reaches the second synchronization point depending on the waiting time and the magnitude of the quality difference.

Synchronization control method and information processing device

Provided is a computing resource allocation device capable of allocating computing resources to accommodate changing activity patterns. The device is equipped with an external environment recognition means that analyzes input values from sensors to specify the current environment, a memory means that stores a table in which the sensors required to specify the environment are correlated, a transition frequency computation means that computes the transition frequency at which a transition is made from an environment to another environment, and a computing resource allocation means that computes the amount of allocation of the computing resources to be used for the analysis based on the current environment by referencing the table and the transition frequency, and that allocates the computing resources for the analysis.

Device, system, method, and program for computing resource allocation based on external environment and transition frequency

To provide a dynamic image receiving apparatus which receives dynamic image streams coded with inter-frame prediction such as MPEG from a plurality of channels, and collects the dynamic image streams containing intra-frame coded pictures from each channel in a short time. The dynamic image receiving apparatus includes: a time information accumulative processing device which accumulates code receiving time of the intra-frame coded picture of the dynamic image stream, and periodicity time information containing one of or both of presentation time information and decoding time information contained in the dynamic image stream for each dynamic image stream of the plurality of channels; code receiving time predicting devices which predict the code receiving time of the intra-frame coded pictures based on the periodicity time information; and a channel selection control device which controls channel selection of the dynamic image stream to be received based on the predicted code receiving time information.

Dynamic image receiving apparatus, dynamic image receiving method and program

In a multi-core processor of a shared-memory type, deterioration in the data processing capability caused by competitions of memory accesses from a plurality of processors is suppressed effectively. In a memory access controlling system for controlling accesses to a cache memory in a data read-ahead process when the multi-core processor of a shared-memory type performs a task including a data read-ahead thread for executing data read-ahead and a parallel execution thread for performing an execution process in parallel with the data read-ahead, the system includes a data read-ahead controller which controls an interval between data read-ahead processes in the data read-ahead thread adaptive to a data flow which varies corresponding to an input value of the parallel process in the parallel execution thread. By controlling the interval between the data read-ahead processes, competitions of memory accesses in the multi-core processor are suppressed.

Growing community of inventors

Tokyo, Japan

Kosuke Nishihara