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Human-Computer Interaction, Optimization and Robotic Applications (HORA), International Congress on

作者： Daniel schneider Marcos Antonio De Almeida Ramon Chaves Benjamim Fonseca Hesam Mohseni António Correia Postgraduate Program in Informatics (PPGI) Federal University of Rio de Janeiro Rio de Janeiro Brazil Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil INESC TEC and University of Trás-os-Montes e Alto Douro Vila Real Portugal Faculty of Information Technology University of Jyväskylä Jyväskylä Finland

ISBN: (数字)9798331510886

ISBN: (纸本)9798331510893

Interest in artificial intelligence (AI)-driven crowd work has increased during the last few years as a line of inquiry that expands upon prior research on microtasking to represent a means of scaling up complex tasks through AI mediation. Despite the increasing attention to the macrotask phenomenon in crowdsourcing, there is a need to understand the processes, elements, and constraints underlying the infrastructural and behavioral aspects in such form of crowd work when involving collaboration. To this end, this paper provides a first attempt to characterize some of the research conducted in this direction to identify important paths for an agenda comprising key drivers, challenges, and prospects for integrating human-centered AI in collaborative crowdsourcing environments.

关键词： Crowdsourcing Human computer interaction Collaboration Artificial intelligence Mediation Robots Optimization

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Influence of road environmental elements on pedestrian and cyclist road crossing behaviour

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sICE Journal of Control, Measurement, and system Integration 2021年第2期14卷 50-58页

作者： saito, Yuichi Kochi, Fuma Itoh, Makoto Fushima, Takesato sugano, Takashi Yamamoto, Yasunori Faculty of Engineering Information and Systems University of Tsukuba Tsukuba Japan Master's Program in Risk and Resilience Engineering University of Tsukuba Tsukuba Japan Mazda Motor Corporation Hiroshima Japan

The pedestrian and cyclist-related accident fatality rate is higher than that of other traffic accidents. One of the pedestrian behaviours that leads to traffic accidents is the act of moving rapidly onto the road from a blind spot without warning. Expert drivers practice hazard-anticipatory driving and will naturally seek to reduce uncertainty by attempting to fit their current driving context into a pre-existing category. Risk management is the process of identifying hazards and assessing and controlling risks to attain safety. The purpose of this study was to evaluate the influence that driving context-altering road environmental elements exert on the road-crossing behaviour of pedestrians and cyclists. Thus, this study attempted to identify covert hazards (obscured pedestrians and cyclists). A logistic regression analysis was employed along with data from the near-miss incident database, in which approximately 140,000 near-crash-relevant events were registered in 2017. By using the logistic regression analysis along with the annotations recorded in the database, we constructed a predictive model to identify covert hazards. The study demonstrated the feasibility of using a set of environmental elements that shape the driving context to construct a predictive model that identifies covert hazards. © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： Database systems

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Robot Tele-Operation / Teaching system using VR Device 10

Robot Tele-Operation / Teaching System using VR Device

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10th IEEE International Conference on Cybernetics and Intelligent systems and IEEE Conference on Robotics, Automation and Mechatronics, CIs-RAM 2023

作者： Ohsato, Minami Aiyama, Yasumichi Master's Program in Systems and Information Engineering Tsukuba Japan University of Tsukuba Inst. of Systemsand Information Engineering Tsukuba Japan

ISBN: (纸本)9798350303087

This paper proposes a "robot tele-teaching system using a VR device"as a new robot teaching method to replace the conventional robot teaching method. Currently we still need teach-pendant to teach industrial robots. It is very inconvenient method. Our novel method consists of two robots and a VR device. One robot is on site instead of the operator. A stereo camera is attached to its end of the robot, which realizes a 3D positionand posture obtained from HMD. The operator can then view the images through the HMD as if he/she are on site. The other manipulating robot is equipped with a gripper and can follow the position and orientation of the gripper-like input device held by the operator. This system is equipped with a correction and auto-teaching function that uses the geometric characteristics of the work object. This significantly reduces the time required for operation. In addition, the teaching points obtained by this system have been successfully used for playback in a real environment. © 2023 IEEE.

关键词： Manipulators

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Innovative solutions in Breath Alcohol Measurement for Improving Road safety

Innovative Solutions in Breath Alcohol Measurement for Impro...

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Cybernetics and Innovations (ICCI), International Conference on

作者： Patiyuth Pramkeaw Pimyada suksomboon Warit Leangruttananon Thittaporn Ganokratanaa Davids Makararpong Narumol Chumuang Worawut Yimyam Chayawee Angsusingha Adil Farooq Mahasak Ketcham Media Technology Program King Mongkut's University of Technology Thonburi Bangkok Thailand Faculty of Science King Mongkut's University of Technology Thonburi Bangkok Thailand Thailand Business school The University of the Thai Chamber of Commerce Bangkok Thailand Digital Media Technology Muban Chombueng Rajabhat University Ratchaburi Thailand Business Information Management Phetchaburi Rajabhat University Phetchaburi Thailand The national broadcasting and Telecommunications Commission Bangkok Thailand Department of Electronic Engineering Maynooth University Ireland Management of Information Systems King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331533267

ISBN: (纸本)9798331533274

This research presents the development and evaluation of a breath alcohol measurement device utilizing the MQ-3 alcohol sensor and an Arduino Nano-based control system. The primary objective was to design an accurate and reliable system for detecting breath alcohol concentration, with real-time feedback provided through an OLED display and an active buzzer for alerts. The device operates by measuring the alcohol concentration in the breath and converting the sensor data into parts per million (ppm). When the alcohol concentration exceeds the predefined threshold of 5% ABV, the system activates an audible alarm via the buzzer and displays the corresponding ppm value on the OLED screen. A series of tests were conducted with eight volunteers who consumed varying amounts of alcohol. The results demonstrated the system's high accuracy and responsiveness, with the ability to detect alcohol concentrations ranging from safe levels to dangerous thresholds. The device was tested multiple times to ensure consistency and minimize errors, with the final results confirming its effectiveness in providing reliable alcohol measurements. This system holds significant potential for applications in monitoring alcohol levels in drivers and individuals involved in safety-critical activities. The research underscores the importance of real-time alcohol detection systems in enhancing public safety and ensuring compliance with safety regulations.

关键词： Accuracy Measurement uncertainty Organic light emitting diodes Control systems Real-time systems Public security Nanoscale devices Monitoring Vehicles Testing

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Toward Parallelization Technique for stream-based Lossless Data Compression

Toward Parallelization Technique for Stream-based Lossless D...

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2023 IEEE International Conference on Big Data, BigData 2023

作者： Kato, Taiki Yamagiwa, shinichi Wada, Koichi Master's Program in Computer Science Degree Program in Systems and Information Engineering University of Tsukuba Ibalaki Tsukuba Japan University of Tsukuba Faculty of Engineering Information and Systems Ibalaki Tsukuba Japan

ISBN: (纸本)9798350324457

IoT edge platform has become popular in various distributed environments. The edge devices need to communicate BigData among them or with the cloud servers by collaborating with AI technologies for finding events from the applications. Those devices exchange data streams from such as distributed sensors and remote image/video devices. We focus on an acceleration technique for the communication performance using a stream-based lossless data compression technology. This paper proposes a parallelization technique for the compression process in a software environment running on a multicore processor. The technique invokes concurrent compression processes assigned to multiple threads with splitting a data stream to chunks. The paper exposes three scheduling methods for assigning the chunks to the threads: in-order, hybrid and out-of-order. As an original data order of chunks must be obtained in decompression side, the proposed technique introduces packeting mechanisms in each chunk by adding headers to support the scheduling methods. Through experimental performance evaluations, we discuss the packeting overhead focusing on compression ratio and speedup by the parallelization with three scheduling methods. © 2023 IEEE.

关键词： Data stream IoT Lossless Data Compression Multi-Threading Parallelization

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Performance Enhancement of stream-Based Decompression Process by Notifying Compression Buffer size 28

Performance Enhancement of Stream-Based Decompression Proces...

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28th IEEE symposium on Computers and Communications, IsCC 2023

作者： Kato, Taiki Yamagiwa, shinichi Marumo, Koichi University of Tsukuba Master's Program in Computer Science Degree Program in Systems and Information Engineering Ibalaki Tsukuba Japan University of Tsukuba Faculty of Engineering Information and Systems Ibalaki Tsukuba Japan

ISBN: (纸本)9798350300482

This paper focuses on a performance enhancement of communication performance by compressing data stream. AsE coding is an effective lossless data compression method for data stream. The software implementation of the coding/decoding method inevitably meets a performance mismatch in memory and storage devices. In the compressor side, it is predictable to decide the size of an original data block and is available to process a flexible buffer memory. However, the decompressor is not able to predict the buffer size because the original data size is not obvious before the decompression. This causes a performance mismatch in the filesystem level. This paper proposes a novel method to address the performance mismatch by applying a notification mechanism of compression size from the compressor. This paper describes the mechanism focusing on the system call usage. Through experimental evaluations, we show the performance improvement of the decompression performance for handling data stream. © 2023 IEEE.

关键词： Virtual storage

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Environmental health risks and impacts of PM2.5sub> exposure on human health in residential areas, Bantul, Yogyakarta, Indonesia

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Toxicology Reports 2025年 14卷 101949页

作者： Abidin, Azham Umar Munawaroh, Anisful Lailil Rosinta, Aulia sulistiyani, Arvi Tri Ardianta, Iwan Iresha, Fajri Mulya Department of Environmental Engineering Faculty of Civil Engineering and Planning Universitas Islam Indonesia Indonesia Department of Information and Medical Service Vocational School Applied Master's Program in Occupational Health and Safety Universitas Gadjah Mada Indonesia Department of Community Family and Occupational Medicine Faculty of Medicine Khon Kaen University Thailand Faculty of Medicine Universitas Islam Indonesia Indonesia Laboratory of Air Quality Department of Environmental Engineering Universitas Islam Indonesia Indonesia Laboratory of Solid and Hazardous Wastes Department of Environmental Engineering Universitas Islam Indonesia Indonesia

Air pollution, particularly PM2.5, significantly impacts public health in developing areas. This study evaluates PM2.5 exposure among residents and conducts a health risk assessment within the human community in Bantu... 详细信息

Air pollution, particularly PM2.5sub>, significantly impacts public health in developing areas. This study evaluates PM2.5sub> exposure among residents and conducts a health risk assessment within the human community in Bantul Regency, Indonesia, utilizing a high-volume air sampler (HVAs) over 24 h in a residential area and interviewing 36 respondents. The findings of this study show that PM2.5sub> concentrations varied from 50.7 to 61.9 μg/m³, exceeding the national ambient air quality standards (NAAQs) of 35 μg/m³. The risk hazard quotient (RQ) values of PM2.5sub> were greater than 1, signifying considerable health risk. Epidemiological statistical analysis indicates a significant correlation (p-value < 0.05) between PM2.5sub> exposure, health complaints, and respondent characteristics. Residents report health issues including cough, headache, eye irritation, breathlessness, and wheezing. The findings emphasize the imperative for more rigorous air quality standards and regulations, enhanced public awareness and education regarding preventive practices, and urban planning development strategies incorporating green infrastructure. These measures are crucial for alleviating health hazards and enhancing air quality in impacted areas. © 2025 The Authors

关键词： environmental health health impact health risk assessment PM2.5 exposure

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Topic activation analysis for document streams based on document arrival rate and relevance 05

Topic activation analysis for document streams based on docu...

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20th Annual ACM symposium on Applied Computing

作者： Cui, Chunhua Kitagawa, Hiroyuki Master's Program in Science and Engineering University of Tsukuba Graduate School of Systems and Information Engineering Center for Computational Sciences University of Tsukuba

ISBN: (纸本)9781581139648

With the advance of network technology in recent years, the dissemination and exchange of massive documents has become commonplace. Accordingly, the importance of content analysis techniques is increasing. Topic analysis in large-scale document streams such as E-mails and news articles is an important research issue. This paper addresses techniques for "topic activation analysis" for document streams. For example, when news articles with a strong relationship to a given topic arrive frequently in a news stream, we can regard the activation level of the topic as high. In [I], Kleinberg proposed a method for analyzing document streams. Although the main objective of his method was to detect bursts of topics, it can also be used for topic activation analysis. His method, however, has a serious limitation in that it only looks at the arrival rate of documents and ignores the degree of relevance for each document. Another limitation is that his method is "batch-oriented." This paper first proposes a novel topic activation analysis scheme that incorporates both document arrival rate and relevance to address the first problem. It then presents an incremental scheme more appropriate for a document streaming environment. The proposed schemes are validated by experiments using real CNN news articles. Copyright 2005 ACM.

关键词： Computer networks

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Rolling-shutter sensor-Based Visible Light Communication with Cross-screen Filter: Communication and Positioning system Using a Commercial Camera 10

Rolling-Shutter Sensor-Based Visible Light Communication wit...

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10th IEEE Global Conference on Consumer Electronics, GCCE 2021

作者： Hamagami, Ritsuki Ebihara, Tadashi Wakatsuki, Naoto Maeda, Yuka Mizutani, Koichi University of Tsukuba Master's Program In Intelligent And Mechanical Interaction Systems Tsukuba Japan Faculty of Engineering Information And Systems University of Tsukuba Tsukuba Japan

ISBN: (纸本)9781665436762

We propose a visible light communication system using a commercial camera that achieves communication and positioning simultaneously, which is essential for intelligent transport systems (ITs). The transmitter (Tx) emits the data as fast-blinking light of the LED. The receiver (Rx) captures the signal using a rolling-shutter sensor with a cross-screen filter. Different from the previous system without a cross-screen filter, which can only achieve short-range and single-user communication, the proposed system can achieve long-range communication by diffusing the incoming light in a specific direction using a cross-screen filter. Furthermore, the proposed system has the potential to achieve multi-user communication and positioning, which used to require a high-speed camera, using a commercial camera. We evaluated the performance of the proposed system in indoor experiments. The experimental results suggest that the proposed system can improve communication range compared to the previous system. © 2021 IEEE.

关键词： Visible light communication

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Reinforcement Learning to Efficiently Recover Control Performance of Robots Using Imitation Learning After Failure

Reinforcement Learning to Efficiently Recover Control Perfor...

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2022 IEEE International Conference on systems, Man, and Cybernetics, sMC 2022

作者： Kobayashi, shoki shibuya, Takeshi University of Tsukuba Master's Program in Intelligent and Mechanical Interaction Systems Ibaraki Japan University of Tsukuba Faculty of Engineering Information and Systems Ibaraki Japan

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

Extreme environments, such as space and underwater, are difficult for humans to enter because they involve risks, hence it is necessary to employ autonomous robots instead of humans. When robots fail in extreme environments, it is essential for the robot to automatically recover control following the rules of failure because humans cannot repair the robot directly. Reinforcement learning is expected to automatically acquire the control rule;however, the retrieval of the control rule requires significant trial-and-error. Imitation learning cannot acquire the control rule if no suitable expert data exist. Methods combining imitation learning and reinforcement learning reduce the number of trial-and-errors;however, they are still not effective against robot failure because these methods cannot utilize expert data effectively. This paper proposes a reinforcement learning method that efficiently recovers control performance from failures by utilizing both the control rules prepared by the designer and multiple discriminators to calculate measures similar to expert data. Experimental results show that the proposed method recovers the control performance with fewer episodes than the conventional method. The main contribution of the proposed method is its efficiency against robot failure through utilizing expart data prepared for failure by the designers for imitation learning. © 2022 IEEE.

关键词： Reinforcement learning

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