Demonstration of a contactless waste collection system: A Japanese case study
A Ogawa, AH Pandyaswargo, R Tsubouchi… - IET Smart …, 2023 - Wiley Online Library
The COVID‐19 pandemic has increased the need for social distancing and improved
sanitation to prevent the spread of infectious diseases. In the waste management sector …
sanitation to prevent the spread of infectious diseases. In the waste management sector …
Cruisers: An automotive sensing platform for smart cities using door-to-door garbage collecting trucks
Due to the advance in information and communication technologies, smart cities have
become an increasingly appealing vision. One indispensable basis in the research …
become an increasingly appealing vision. One indispensable basis in the research …
Spatio-temporal multidimensional collective data analysis for providing comfortable living anytime and anywhere
Machine learning is a promising technology for analyzing diverse types of big data. The
Internet of Things era will feature the collection of real-world information linked to time and …
Internet of Things era will feature the collection of real-world information linked to time and …
Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors
Y Kishino, K Takeuchi, Y Shirai… - … Conference on Big …, 2017 - ieeexplore.ieee.org
The datafication of spatio-temporal city-wide events is one essential factor for smart
management of the city. For this purpose, the combination of real-time event detection on …
management of the city. For this purpose, the combination of real-time event detection on …
The research of signal processing of the control system based on electromyography signal
L Changsong, Z Yiqi - 2017 IEEE International Conference on …, 2017 - ieeexplore.ieee.org
The analysis and feature extraction of surface electromyography signal (sEMG) are
important in the clinical diagnosis of human function state and patients rehabilitation. The …
important in the clinical diagnosis of human function state and patients rehabilitation. The …
DeepCounter: 深層学習を用いた細粒度なゴミ排出量データ収集手法
三上量弘， 陳寅， 中澤仁 - 情報処理学会論文誌, 2020 - ipsj.ixsq.nii.ac.jp
論文抄録 ゴミの排出量は, 住民の家族構成やその生活パターンに影響され, 都市そのものの変化を
反映する. したがって, ゴミ排出量データが取得可能となれば, 清掃車のルート最適化や排出量削減 …
反映する. したがって, ゴミ排出量データが取得可能となれば, 清掃車のルート最適化や排出量削減 …
センサ端末上でのニューラルネットワーク処理ハードウェア構成
有川勇輝， 岸野泰恵， 坂本健 - 第 82 回全国大会講演論文集, 2020 - ipsj.ixsq.nii.ac.jp
論文抄録 本稿では, センサ端末上で時系列センサデータをニューラルネットワーク処理するための
ハードウェア構成を議論する. 提案構成は, プロセッサとプログラマブルロジックとの間のデータ移動 …
ハードウェア構成を議論する. 提案構成は, プロセッサとプログラマブルロジックとの間のデータ移動 …