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A convenient platform for real-time non-contact thermal measurement and processing

BULLETIN OF THE KOREAN CHEMICAL SOCIETY 2022年第6期43卷 854-858页

作者： Choi, Hyosung Soeriawidjaja, Banyu Firdaus Lee, Sang Hak Kwak, Minseok Pukyong Natl Univ Dept Chem Busan 48513 South Korea Pukyong Natl Univ Dept Ind Convergence Bion Engn 4 0 Busan 48513 South Korea Pusan Natl Univ Dept Chem Busan 46241 South Korea

Temperature is one of crucial and integral parts of chemical experiments. Since the properties or shape of the material may change depending on the temperature, the device that measures it plays a vital role in an experiment. Such devices commonly used in experiments to this day are unable to perform temperature measurement and data processing simultaneously. Here, we present a low-price, non-contact convenient platform capable of solving both problems at the same time, with automatically set different measurement time intervals for each experiment, and shows processed data anywhere real-time on the Internet. This device can operate within temperature range of -20 and 80 degrees C with a respectable error range of +/- 2.5 degrees C.

关键词： Arduino real-time data processing temperature measurement thermal sensor

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A platform architecture for occupancy detection using stream processing and machine learning approaches

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2020年第17期32卷

作者： Elkhoukhi, Hamza NaitMalek, Youssef Bakhouya, Mohamed Berouine, Anass Kharbouch, Abdelhak Lachhab, Fadwa Hanifi, Majdoulayne El Ouadghiri, Driss Essaaidi, Mohamed Int Univ Rabat Fac Comp & Logist LERMA Rabat 11100 Morocco Univ Moulay Ismail Fac Sci Meknes 11201 Morocco Mohammed V Univ ENSIAS Rabat Morocco Int Univ Agadir Agadir Morocco

Context-awareness in energy-efficient buildings has been considered as a crucial fact for developing context-driven control approaches in which sensing and actuation tasks are performed according to the contextual changes. This could be done by including the presence of occupants, number, actions, and behaviors in up-to-date context, taking into account the complex interlinked elements, situations, processes, and their dynamics. However, many studies have shown that occupancy information is a major leading source of uncertainty when developing control approaches. Comprehensive and real-time fine-grained occupancy information has to be, therefore, integrated in order to improve the performance of occupancy-driven control approaches. The work presented in this paper is toward the development of a holistic platform that combines recent IoT and Big data technologies for real-time occupancy detection in smart building. The purpose of this work focuses mainly on the presence of occupants by comparing both static and dynamic machine learning techniques. An open-access occupancy detection dataset was first used to assess the usefulness of the platform and the effectiveness of static machine learning strategies for data processing. This dataset is used for applications that follow the strategy aiming at storing data first and processing it later. However, many smart buildings' applications, such as HVAC and ventilation control, require online data streams processing. Therefore, a distributed real-time machine learning framework was integrated into the platform and tested to show its effectiveness for this kind of applications. Experiments have been conducted for ventilation systems in energy-efficient building laboratory (EEBLab) and preliminary results show the effectiveness of this platform in detecting on-the-fly presence of occupants, which is required to either make ON or OFF the system and then activate the corresponding embedded control technique (eg, ON/OFF, PID, sta

关键词： context-awareness Internet of Things machine learning real-time data processing Smart buildings

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real-time Personalized Driver Support System for Pilot Assist Promotion in Different Traffic Conditions

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Procedia CIRP 2021年 104卷 26-31页

作者： Julia Orlovska Casper Wickman Rikard Söderberg Chalmers University of Technology Department of Industrial and Materials Science SE-41296 Göteborg Sweden Volvo Cars 91200 Customer Experience Centre Torslanda PV3A SE-405 31 Göteborg Sweden

The complexity of advanced in-vehicle systems and level of automation provided is currently increasing, making the understanding of smart systems design and limitations challenging to a driver. As a result, misinterpretation of the system’s capabilities can be detrimental to perceived usefulness and the system’s usage. The personalized real-time driver support concept presented in this paper is designed to improve the driver’s understanding of Pilot Assist (PA) and increase PA usage effectiveness in various traffic contexts. The designed communication informs drivers about PA capabilities in various traffic conditions, helping drivers recognize the appropriate context for PA activation and reflect on their own PA use strategy.

关键词： vehicle data ADAS personalized support context-awareness context reasoning real-time data processing

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real-time Embedded Systems: Open-Source Operating Systems Perspective

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丛书名： Embedded Systems

2012年

作者： Ivan Cibrario Bertolotti Gabriele Manduchi

ISBN: (纸本)9781439841617;1439841616;1439841543;9781439841549

From the Foreword: "the presentation of real-time scheduling is probably the best in terms of clarity I have ever read in the professional literature. Easy to understand, which is important for busy professionals keen to acquire (or refresh) new knowledge without being bogged down in a convoluted narrative and an excessive detail overload. The authors managed to largely avoid theoretical-only presentation of the subject, which frequently affects books on operating systems. an indispensable [resource] to gain a thorough understanding of the real-time systems from the operating systems perspective, and to stay up to date with the recent trends and actual developments of the open-source real-time operating systems." Richard Zurawski, ISA Group, San Francisco, California, USA real-time embedded systems are integral to the global technological and social space, but references still rarely offer professionals the sufficient mix of theory and practical examples required to meet intensive economic, safety, and other demands on system development. Similarly, instructors have lacked a resource to help students fully understand the field. The information was out there, though often at the abstract level, fragmented and scattered throughout literature from different engineering disciplines and computing sciences. Accounting for readers varying practical needs and experience levels, real time Embedded Systems: Open-Source Operating Systems Perspective offers a holistic overview from the operating-systems perspective. It provides a long-awaited reference on real-time operating systems and their almost boundless application potential in the embedded system domain. Balancing the already abundant coverage of operating systems with the largely ignored real-time aspects, or "physicality," the authors analyze several realistic case studies to introduce vital theoretical material. They also discuss popular open-source operating systemsLinux and FreRTOS, in particularto help embedded-sys

关键词： Embedded computer systems. Operating systems (Computers) real-time data processing

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real-time Fall Detection Using Microwave Doppler Sensor-Computational Cost Reduction Method Based on Genetic Algorithm

IEEE SENSORS LETTERS

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IEEE SENSORS LETTERS 2019年第3期3卷

作者： Kaburagi, Takashi Shiba, Kazuaki Kumagai, Satoshi Matsumoto, Toshiyuki Kurihara, Yosuke Aoyama Gakuin Univ Dept Sci & Engn Sagamihara Kanagawa 2525258 Japan

The risk of falling is a serious problem for the elderly. If the fall remains undetected for a considerable period, hypothermia and dehydration may occur, leading to death. Therefore, real-time detection of falls is critical. We previously proposed a fall-detection system based on a microwave Doppler sensor, which can capture the object's velocity. Our system performs template matching based on the dynamic time warping distance;hence, the processing time depends on the number of template datasets. Herein, we attempt a real-time fall detection by reducing the number of templates. We apply the genetic algorithm to select better templates. The fitness of the selected templates is evaluated by dividing the accuracy by the number of templates.

关键词： Sensor applications fall detection genetic algorithm (GA) microwave Doppler sensor real-time data processing

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Review: Fundamentals, limitations and pitfalls on the development and application of precision nutrition techniques for precision livestock farming

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ANIMAL 2023年 17卷 100763页

作者： Pomar, Candido Remus, Aline Agr & Agri Food Canada Sherbrooke Res & Dev Ctr 2000 Coll St Sherbrooke PQ J1M 0C8 Canada

Precision livestock farming (PLF) concerns the management of livestock using the principles and technologies of process engineering. Precision nutrition (PN) is part of the PLF approach and involves the use of feeding techniques that allow the proper amount of feed with the suitable composition to be supplied in a timely manner to individual animals or groups of animals. Automatic data collection, data processing, and control actions are required activities for PN applications. Despite the benefits that PN offers to producers, few systems have been successfully implemented so far. Besides the economical and logistical challenges, there are conceptual limitations and pitfalls that threaten the widespread adoption of PN. Developers have to avoid the temptation of looking for the application of available sensors and instead concentrate on identifying the most appropriate and relevant information needed for the optimal functioning of PN applications. Efficient PN applications are obtained by controlling the nutrient requirement variations occurring between animals and over time. The utilization of feedback control algorithms for the automatic determination of optimal nutrient supply is not recommended. Mathematical models are the preferred data processing method for PN, but these models have to be designed to operate in real time using up-to-date information. These models are therefore structurally different than traditional nutrition or growth models. Combining knowledge- and data-driven models using machine learning and deep learning algorithms will enhance our ability to use real-time farm data, thus opening up new opportunities for PN. To facilitate the implementation of PN in farms, different experts and stakeholders should be involved in the development of the fully integrated and automatic PLF system. Precision livestock farming and PN should not be seen as just being a question of technology, but a successful marriage between knowledge and technology. (c) 2023 P

关键词： Automatic data collection Control actions Nutrition Precision feeding real-time data processing

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Formal Methods and Hybrid real-time Systems 2007

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丛书名： Lecture Notes in Computer Science

2007年

作者： Cliff B. Jones Zhiming Liu Jim Woodcock

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Building Parallel, Embedded, and real-time Applications with Ada

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2011年

作者： John W. McCormick Frank Singhoff Jérôme Hugues

ISBN: (数字)9781139005951

ISBN: (纸本)9780521197168

The arrival and popularity of multi-core processors has sparked a renewed interest in the development of parallel programs. Similarly, the availability of low-cost microprocessors and sensors has generated a great interest in embedded real-time programs. This book provides students and programmers whose backgrounds are in traditional sequential programming with the opportunity to expand their capabilities into parallel, embedded, real-time and distributed computing. It also addresses the theoretical foundation of real-time scheduling analysis, focusing on theory that is useful for actual applications. Written by award-winning educators at a level suitable for undergraduates and beginning graduate students, this book is the first truly entry-level textbook in the subject. Complete examples allow readers to understand the context in which a new concept is used, and enable them to build and run the examples, make changes, and observe the results.

关键词： Ada (Computer program language) Parallel programming (Computer science) Embedded computer systems real-time data processing Multiprocessors

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Domain Modeling and the Duration Calculus 2007

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丛书名： Lecture Notes in Computer Science

2007年

作者： Chris George Zhiming Liu Jim Woodcock

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Online Denoising Based on the Second-Order Adaptive Statistics Model

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SENSORS 2017年第7期17卷 1668页

作者： Yi, Sheng-Lun Jin, Xue-Bo Su, Ting-Li Tang, Zhen-Yun Wang, Fa-Fa Xiang, Na Kong, Jian-Lei Beijing Technol & Business Univ Sch Comp Informat & Engn Beijing 100048 Peoples R China Beijing Technol & Business Univ Beijing Key Lab Big Data Technol Food Safety Beijing 100048 Peoples R China Beijing Univ Technol Key Lab Urban Secur & Disaster Engn Minist Educ Beijing 100124 Peoples R China

Online denoising is motivated by real-time applications in the industrial process, where the data must be utilizable soon after it is collected. Since the noise in practical process is usually colored, it is quite a challenge for denoising techniques. In this paper, a novel online denoising method was proposed to achieve the processing of the practical measurement data with colored noise, and the characteristics of the colored noise were considered in the dynamic model via an adaptive parameter. The proposed method consists of two parts within a closed loop: the first one is to estimate the system state based on the second-order adaptive statistics model and the other is to update the adaptive parameter in the model using the Yule-Walker algorithm. Specifically, the state estimation process was implemented via the Kalman filter in a recursive way, and the online purpose was therefore attained. Experimental data in a reinforced concrete structure test was used to verify the effectiveness of the proposed method. Results show the proposed method not only dealt with the signals with colored noise, but also achieved a tradeoff between efficiency and accuracy.

关键词： online denoising the second-order adaptive statistics model Kalman filter Yule-Walker algorithm real-time data processing

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