Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Kazuhiro Nakada"'
Publikováno v:
Drones, Vol 8, Iss 6, p 266 (2024)
This study evaluates and assesses the performance of recent developments in sound source tracking using microphone arrays from multiple drones. Stemming from a baseline study, which triangulates the spatial spectrum calculated from the MUltiple SIgna
Externí odkaz:
https://doaj.org/article/9e92da40366248c6a20967325da9af4d
Publikováno v:
Drones, Vol 7, Iss 7, p 405 (2023)
This paper addresses a placement planning method for drones to improve the performance of source tracking by multiple drones equipped with microphone arrays. By equipping the drone with a microphone array, the drone will be able to locate the person
Externí odkaz:
https://doaj.org/article/a0622aabb54b480f840f66dda2f41354
Publikováno v:
Birds, Vol 2, Iss 2, Pp 158-172 (2021)
To understand the social interactions among songbirds, extracting the timing, position, and acoustic properties of their vocalizations is essential. We propose a framework for automatic and fine-scale extraction of spatial-spectral-temporal patterns
Externí odkaz:
https://doaj.org/article/939d54c1a9624e09b4849d6b192c7686
Autor:
Shinji Sumitani, Reiji Suzuki, Shiho Matsubayashi, Takaya Arita, Kazuhiro Nakadai, Hiroshi G. Okuno
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 7, Iss 1, Pp 18-35 (2021)
Abstract Ecoacoustics needs sophisticated acoustic monitoring tools to extract a wide level of features from an observed mixture of sounds. We have developed a portable acoustic monitoring system called ‘HARKBird’ which consists of a laptop PC an
Externí odkaz:
https://doaj.org/article/b339ba02b61b48ceabb225e12d33305e
Publikováno v:
ChemInform. 39
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fd20dba491bc4dc718fdb9faaeb74c9
https://doi.org/10.1002/chin.200801199
https://doi.org/10.1002/chin.200801199
Autor:
Reiji Suzuki, Koichiro Hayashi, Hideki Osaka, Shiho Matsubayashi, Takaya Arita, Kazuhiro Nakadai, Hiroshi G. Okuno
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3607 (2023)
Songbirds are one of the study targets for both bioacoustic and ecoacoustic research. In this paper, we discuss the applicability of robot audition techniques to understand the dynamics of forest bird vocalizations in a soundscape measured in azimuth
Externí odkaz:
https://doaj.org/article/8ecf165d54cc4bdf8fbfef79bc629a80
Autor:
Shiho Matsubayashi, Kazuhiro Nakadai, Reiji Suzuki, Tatsuya Ura, Makoto Hasebe, Hiroshi G. Okuno
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Bioacoustics monitoring has become increasingly popular for studying the behavior and ecology of vocalizing birds. This study aims to verify the practical effectiveness of localization technology for auditory monitoring of endangered Eurasian bittern
Externí odkaz:
https://doaj.org/article/75cb2f34ba6a47d097f81c503831cfee
Autor:
Hiroshi Ichimura, Kazuhiro Nakada, Satoru Fujii, Chris Walton, Tomonori Akutsu, Kouji Yoshida, Kunihiro Yamada
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540232063
KES
KES
In recent years, online distribution of academic lectures to distant locations has occurred through development of Internet technology. To address several main challenges to distance learning—long-term motivation and effective evaluation of student
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db810662323a608a999b3d61ad586b87
https://doi.org/10.1007/978-3-540-30133-2_121
https://doi.org/10.1007/978-3-540-30133-2_121
Autor:
Tomonori Akutsu, Satoru Fujii, Hiroshi Ichimura, Kouiti Matsumoto, Kazuhiro Nakada, Kouji Yoshida
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540408048
KES
KES
Education outside of the traditional classroom environment is growing more widespread, particularly opportunities presented by distance learning. In Japan, students today are frequently seen using the mail function of the WWW from their mobile phone.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de51ac74e0314bc8cac24a5f262aaa6c
https://doi.org/10.1007/978-3-540-45226-3_103
https://doi.org/10.1007/978-3-540-45226-3_103