{"title":"Real-time Smart Situation Awareness based on Camera Array and Machine Learning","authors":"Fenghui Yao, Guifeng Shao","doi":"10.12792/ICIAE2021.017","DOIUrl":"https://doi.org/10.12792/ICIAE2021.017","url":null,"abstract":"This paper proposes a real-time situation awareness system based on a surveillance camera array and machine learning techniques. The surveillance camera array consists of multiple PTZ cameras which are divided into two classes: large area cameras and local area cameras. Large area cameras are used to detect whole moving targets (e.g. persons, cars) and local area cameras are used to detect a specific area of the moving targets (e.g. person faces, car license plates). The behaviors of the detected moving targets are recognized to be normal or abnormal by combining shortterm and long-term video sequence analyses. Furthermore, the detected faces are fed to a face recognition subsystem to determine whether the person is known or not. The experimental results show the proposed situation awareness system is effective and useful.","PeriodicalId":161085,"journal":{"name":"The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121485383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proposal of Automatic Ventilation Support System Utilizing Carbon Dioxide Concentration","authors":"Toshimasa Noda, Yuhki Kitazono","doi":"10.12792/ICIAE2021.042","DOIUrl":"https://doi.org/10.12792/ICIAE2021.042","url":null,"abstract":"The new coronavirus is prevalent, and importance of ventilation is exclained due to it. In such urgent situation, we propose a ventilation support system that uses carbon dioxide sensors and wind sensors more efficiently than conventional products. If ventilation is insufficient, concentration of carbon dioxide will increase, so if being insufficient, the window will automatically open. We will install a wind sensor in the place where the window is open, and check if ventilation is available there. If there is no ventilation, it helps ventilate by spinning the fan and generating an air current. The proper ventilation assistance was confirmed an experiment we made.","PeriodicalId":161085,"journal":{"name":"The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131350042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Investigation of Mobile Device Supporting Online Self-dynamic Partial Reconfiguration on a Testbed System","authors":"Yuma Chihara, A. Yamawaki","doi":"10.12792/ICIAE2021.039","DOIUrl":"https://doi.org/10.12792/ICIAE2021.039","url":null,"abstract":"A mobile device has become widely used not only for telephone and email, but also for entertainment. Some entertainments such as 4K require heavy process for video and high-quality games. Therefore, a mobile device needs higher performance and lower power consumption. To achieve them, hardware implementation instead of processing heavy software is effective. However, it is impossible to prepare a wide variety of hardware on a mobile device. Therefore, we considered installing a reconfigurable device on a mobile device to support the Dynamic Partial Reconfiguration (DPR). The mobile device we have proposed is equipped with a reconfigurable device such as an FPGA inside the System on Chip. The website like Apple Store distributes the DPR application. The DPR application consists of software and hardware data. When executing the application, the software runs first. Then, the mobile device uses the hardware data corresponding to the software and configures reconfigurable hardware on FPGA. Since hardware can perform parallel processing, it is expected to achieve higher performance and lower power consumption than software. In this paper, we aimed to in investigate the feasibility of the mobile device supporting DPR. So, we create this mobile device with the FPGA and support online the DPR by using Lightwight IP (LwIP). LwIP is lightweight TCP / IP stack for embedded devices. Then, the correct operation of the created the mobile device was confirmed. Furthermore, the time required for the DPR was sufficiently short, confirming the feasibility of a mobile device with the FPGA.","PeriodicalId":161085,"journal":{"name":"The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114613351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Acoustic Signal Extraction Relying on Spatial Cues","authors":"M. Mizumachi","doi":"10.12792/ICIAE2021.001","DOIUrl":"https://doi.org/10.12792/ICIAE2021.001","url":null,"abstract":"Sound delivers various information to us in the real world. Human ears can ingeniously extract a specific acoustic event from noisy observation. It is, however, a difficult task for machines with audio input interfaces. For example, speech recognition systems do not work well in adverse conditions such as noisy and reverberant environments, although they work perfectly under quiet environments. A wide variety of acoustic signal extraction methods have been proposed to achieve noise reduction, signal enhancement, sound source separation, and dereverberation. Both humans and machines utilize multiple acoustic cues in the temporal, spectral, and spatial domains for achieving acoustic signal extraction. Acoustic beamforming, that is, spatial filtering based on spatial cues, is one of the most practical techniques in audio applications for PCs, smartphones, tablets, and teleconference systems. In this talk, the acoustic beamforming technique is introduced in the viewpoints from the basic theory to the recent trends.","PeriodicalId":161085,"journal":{"name":"The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129689035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}