Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Koki Takenaka"'
Publikováno v:
Sensors, Vol 23, Iss 20, p 8449 (2023)
Sensor-based human activity recognition (HAR) is a task to recognize human activities, and HAR has an important role in analyzing human behavior such as in the healthcare field. HAR is typically implemented using traditional machine learning methods.
Externí odkaz:
https://doaj.org/article/2fab754e195a4ffaa4551f20ede0f4e5
Publikováno v:
Sensors, Vol 23, Iss 3, p 1465 (2023)
Deep learning methods are widely used in sensor-based activity recognition, contributing to improved recognition accuracy. Accelerometer and gyroscope data are mainly used as input to the models. Accelerometer data are sometimes converted to a freque
Externí odkaz:
https://doaj.org/article/166aee040a5b422fb4c6db9b08d45e2f
Autor:
Koki Takenaka, Tomonori Ohaba, Kazuo Takei, Kuniko Akama, Joaquin Silvestre-Albero, Hirofumi Kanoh
Publikováno v:
Adsorption Science & Technology, Vol 33 (2015)
Adsorption of lysozyme on carbon nanospaces was studied by measurement of structures and biological activities of the adsorbed lysozyme. Carbon aerogel (CA) was used as the carbon material. Several kinds of CAs with different pore sizes were prepared
Externí odkaz:
https://doaj.org/article/f340d2eec80c4a89a701097e5a007e1a
Autor:
Koki Takenaka, Tatsuhito Hasegawa
Publikováno v:
2022 International Conference on Machine Learning and Cybernetics (ICMLC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cae4a95fde7cf6ec6cb0e27148c4e8f
https://doi.org/10.1109/icmlc56445.2022.9941334
https://doi.org/10.1109/icmlc56445.2022.9941334
Autor:
Koki Takenaka, Kenji Ozawa
Publikováno v:
2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0df86c5defc62453a164f4f907baa1ef
https://doi.org/10.1109/lifetech53646.2022.9754759
https://doi.org/10.1109/lifetech53646.2022.9754759
Autor:
Kenji Ozawa, Koki Takenaka
Publikováno v:
2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE).
The aim of this study is to suppress multiple noise signals using a microphone array and two-dimensional (2D) spectrum. The output from the microphone array is regarded as a spatio-temporal sound pressure distribution image, and the noise spectrum is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::846f4ff5d0a4da8266428dee8c173f27
https://doi.org/10.1109/icecce52056.2021.9514078
https://doi.org/10.1109/icecce52056.2021.9514078