Nippon Telegraph and Telephone Corporation

Keitaro Horikawa

Yoshitaka Nakamura

Shingo Tsukada

Akihiro Yamanaka

Masato Sawada

Toshiya Yamada

Kazuhiro Miyahara

Kinya Tomita

Provided is a technology for creating an optimization function for solving a bandwidth allocation plan problem for determining bandwidths to be allocated for respective paths under various constraints regarding the paths for which bandwidths are to be allocated, the optimization function relating to a variable that represents a quantum state. The technology includes: an input setting unit that sets a set Path of paths, a set Edge of edges, a maximum bandwidth Max, a bandwidth p.bandwidth required by a path p, and a set e.paths of paths that include an edge e, as input to a bandwidth allocation plan problem for creating a bandwidth allocation plan for paths so as to satisfy a condition of minimizing a bandwidth allocated for the paths of the set Path as a whole under a predetermined constraint condition; and an optimization function creation unit that creates the optimization function using the input.

Optimization function generation apparatus, optimization function generation method, and program

A wearable device attached to a subject includes an accelerometer that measures acceleration information, and a biological sensor that measures biological signal information of the subject. From the measured acceleration information and biological signal information, first feature data corresponding to a first predetermined period and second feature data corresponding to a second predetermined period are extracted. By machine learning based on the first feature data, a dynamic/static activity identification model, a dynamic-activity identification model, and a static-activity identification model, for the subject, are generated. By combination of results of determination based on each of the identification models, a posture and an activity of the subject are identified and correspondence information, which associates the identified posture and activity with the biological signal information of the subject, is generated.

Device and method for sequential posture identification and autonomic function information acquisition

A wearable device attached to a subject includes an accelerometer that measures acceleration information, and a biological sensor that measures biological signal information of the subject. From the measured acceleration information and biological signal information, first feature data corresponding to a first predetermined period and second feature data corresponding to a second predetermined period are extracted. By machine learning based on the first feature data, a dynamic/static activity identification model, a dynamic-activity identification model, and a static-activity identification model, for the subject, are generated. By combination of results of determination based on each of the identification models, a posture and an activity of the subject are identified, and correspondence information, which associates the identified posture and activity with the biological signal information of the subject, is generated.

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Musashino, Japan

Keitaro Horikawa