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Hand Hygiene Auditing Algorithm using Image Processing for Hand Hygiene Evaluation Machine

Hand Hygiene Auditing Algorithm using Image Processing for H...

International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Kanabadee Srisomboon Kumthorn Malathum Sumawadee Skuntaniyom Jatepiya Duangthongkham Nattapong Phanthuna Department of Electrical and Computer Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand Infection Prevention and Control Services Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok Thailand Rajamangala University of Technology Phra Nakhon Bangkok Thailand

Traditionally, hand hygiene performance of personnel is evaluated through human sight which does not meet the standard since the error may cause by human. Later, the hand hygiene auditing using image processing is proposed. The hand image is converted into grayscale and detected a clean/unclean area with a fixed threshold. In this paper, we propose a new hand hygiene auditing algorithm for hand hygiene evaluation machine by exploiting the image processing application. The objective of this work is to improve the performance and reduce a time of the traditional hand hygiene performance evaluation. In our proposed algorithm, the performance of hand hygiene is evaluated through color image by extracting the blue (B) component of image which is greatly influenced by the effect of ultraviolet (UV) light. Moreover, we detect clean/unclean area with an adaptive thresholds since the intensity of clean/unclean area for white and dark people is not the same. Therefore, the hand hygiene performance of personnel is evaluated accurately with less short consuming.

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Wastewater sequencing reveals early cryptic SARS-CoV-2 variant transmission

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四川生理科学杂志 2022年第6期44卷 1118-1118页

作者： Smruthi Karthikeyan Department of Pediatrics University of California San Diego La Jolla CA USA Department of Biomedical Informatics University of California San Diego La Jolla California USA Department of Computer Science and Engineering University of California San Diego La Jolla CA USA Department of Bioengineering University of California San Diego La Jolla CA USA Department of Immunology and Microbiology The Scripps Research Institute La Jolla CA USA Expedited COVID Identification Environment (EXCITE) Laboratory Department of Pediatrics University of California San Diego La Jolla CA USA Department of Obstetrics Gynecology and Reproductive Sciences University of California San Diego La Jolla CA USA COVID-19 Detection Investigation Surveillance Clinical and Outbreak Response California Department of Public Health Richmond CA USA Sanford Consortium of Regenerative Medicine University of California San Diego La Jolla CA USA Department of Cellular and Molecular Medicine University of California San Diego La Jolla CA USA Student Health and Well-Being University of California San Diego La Jolla CA USA Center for Computational Biology and Bioinformatics University of California San Diego La Jolla CA USA Institute for Genomic Medicine University of California San Diego La Jolla CA USA Operational Strategic Initiatives University of California San Diego La Jolla CA USA Return to Learn University of California San Diego La Jolla CA USA Student Affairs University of California San Diego La Jolla CA USA Academic Affairs University of California San Diego La Jolla CA USA Department of Pathology University of California San Diego La Jolla CA USA Scripps Health San Diego La Jolla CA USA Rady Children’s Institute for Genomic Medicine San Diego CA USA Sharp Healthcare San Diego CA USA Helix San Mateo CA USA County of San Diego Health and Human Services Agency San Diego CA USA Herbert Wertheim School of Public Health and Human Longevity Science Univers

As SARS-CoV-2 continues to spread and evolve,detecting emerging variants early is critical for public health *** lineage prevalence by clinical testing is infeasible at scale,especially in areas with limited resources,participation,or testing/sequencing capacity,which can also introduce ***-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing4,*** virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants.

关键词： wastewater Wastewater testing

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Spectral design of robust delayed resonator by double-root assignment

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IFAC-PapersOnLine 2018年第14期51卷 72-77页

作者： Kue, Matj Vyhlídal, Tomá Michiels, Wim Boussaada, Islam Department of Instrumentation and Control Engineering Faculty of Mechanical Engineering and Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Technická 4 Prague 6 16000 Czech Republic Department of Computer Science KU Leuven Celestijnenlaan 200A HeverleeB-3001 Belgium L2S-CNRS Universite Paris Saclay CentraleSupelec-Universite Paris Sud 3 rue Joliot-Curie Gif-sur-Yvette cedex91192 France

A robust alternative of the delayed resonator is proposed using a spectral approach. By double root assignment at the excitation frequency which is employed to widening the stop-band in the active absorber frequency response, the performance sensitivity to the mismatch between the design and true excitation frequency is considerably decreased. Additionally the overall scheme is supplemented by a control loop which improves the stability margin. The design is validated by simulations and the results are compared with the classical delayed resonator. © 2018

关键词： Resonators Frequency response Robust control Absorber frequency Acceleration feedback Active vibration controls Double root assignment Excitation frequency Performance sensitivity Spectral methods Stability margins

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A differentially k-anonymity-based location privacy-preserving for mobile crowdsourcing systems

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Procedia computer Science 2018年 129卷 28-34页

作者： Yingjie Wang Zhipeng Cai Zhongyang Chi Xiangrong Tong Lijie Li School of Computer Science and Engineering South China University of Technology Guangzhou 510006 China School of Computer and Control Engineering Yantai University Yantai 264005 China Department of Computer Science Georgia State University Atlanta 30303 USA College of Computer Science and Technology Harbin Engineering University Harbin 150001 China

With the rapid development of mobile devices, the problem privacy leaking has become an important research focus in the field of mobile crowdsourcing. In order to guarantee the security and truthfulness of mobile crowdsourcing, this paper proposes a differentially k -anonymity location privacy-preserving for mobile crowdsourcing. Through combining k-anonymity and differential privacy-preserving, the differentially k -anonymity-based location privacy-preserving is proposed in order to prevent workers’ location information from being leaked. Through comparison experiments, the effectiveness, adaptation and flexibility of the proposed differentially k -anonymity-based location privacy-preserving is verified. The differentially k -anonymity-based location privacy-preserving can inspire workers to participate crowd tasks, and protect workers’ location privacy effectively.

关键词： Mobile crowdsourcing location privacy-preserving k -anonymity differential privacy

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arXiv

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arXiv 2019年

作者： Shen, Zhihao Du, Wan Zhao, Xi Zou, Jianhua School of Electronic and Information Engineering Xi'an Jiaotong University Shaanxi Engineering Research Center of Medical and Health Big Data Xi'an710049 China Department of Computer Science and Engineering University of California MercedCA95340 United States School of Management Xi'an Jiaotong University Key Lab of the Ministry of Education for Process Control & Efficiency Egineering Xi'an710049 China

Retrieving similar trajectories from a large trajectory dataset is important for a variety of applications, like transportation planning and mobility analysis. Unlike previous works based on fine-grained GPS trajectories, this paper investigates the feasibility of identifying similar trajectories from cellular data observed by mobile infrastructure, which provide more comprehensive coverage. To handle the large localization errors and low sample rates of cellular data, we develop a holistic system, cellSim, which seamlessly integrates map matching and similar trajectory search. A set of map matching techniques are proposed to transform cell tower sequences into moving trajectories on a road map by considering the unique features of cellular data, like the dynamic density of cell towers and bidirectional roads. To further improve the accuracy of similarity search, map matching outputs M trajectory candidates of different confidence, and a new similarity measure scheme is developed to process the map matching results. Meanwhile, M is dynamically adapted to maintain a low false positive rate of the similarity search, and two pruning schemes are proposed to minimize the computation overhead. Extensive experiments on a dataset of 3,186,000 mobile users and real-world trajectories of 1701 km reveal that cellSim provides high accuracy (precision 62.4% and recall of 89.8%). Copyright © 2019, The Authors. All rights reserved.

关键词： Trajectories

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Weighted Fuzzy Rules Optimised by Particle Swarm for Network Intrusion Detection

Weighted Fuzzy Rules Optimised by Particle Swarm for Network...

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IEEE International Conference on Fuzzy Systems

作者： Tianhua Chen Pan Su Changjing Shang Qiang Shen Department of Computer Science University of Huddersfield UK School of Control and Computer Engineering North China Electric Power University China Department of Computer Science Aberystwyth University UK

Network intrusion detection systems (IDSs) dynamically monitor communication events on a network, and decide whether any event is symptomatic of an attack or constitutes a legitimate use of the system. They have become an indispensable component of security infrastructure, e.g., to detect threats before widespread damage takes place. A variety of approaches have been proposed to design IDSs, including fuzzy rule-based techniques that offer advantages such as tolerance of noisy and imprecise data. In particular, fuzzy rules can be highly interpretable and trackable if the underlying fuzzy sets are predefined, directly reflecting domain expertise. This paper proposes such an approach to generate a set of weighted fuzzy rules for building effective IDSs, where the rule weights are optimised by Particle Swarm Optimisation without affecting the underlying predefined fuzzy sets. Experiments are performed on benchmark IDS datasets with comparison to alternative systems built with popular machine learning methods.

关键词： Fuzzy sets Feature extraction Intrusion detection Benchmark testing Training Monitoring Numerical models

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Semantic Annotation of Arabic Web Documents using Deep Learning

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Procedia computer Science 2018年 130卷 589-596页

作者： Saeed Albukhitan Ahmed Alnazer Tarek Helmy Information and Computer Science Department College of Computer Science & Engineering King Fahd University of Petroleum & Minerals Dhahran 31216 Mail Box 413 Saudi Arabia On leave from College of Engineering Department of Computers & Automatic Control Tanta University Egypt

The vision of Semantic Web is to have a Web of things instead of Web of documents in a form that can be processed by machines. This vision could be achieved on the existing Web using semantic annotation based on common and public ontologies. Due to exponential growth and the huge size of the Web sources, there is a need to have fast and automatic semantic annotation of Web documents. Arabic language received less attention in semantic Web research as compared to Latin languages especially in the field of semantic annotation. The aim of this paper is to investigate the feasibility of using word embeddings from deep learning algorithms for semantic annotation of Arabic Web documents. To evaluate the performance of the proposed framework, food, nutrition, and health ontologies were used to annotate some related Web documents. For a given set of Arabic documents and ontologies, the framework produces annotations of these documents using different output formats. The initial results show a promising performance which will support the research in the Semantic Web with respect to Arabic language. The proposed framework could be used for building semantic Web application and semantic search engines for Arabic Language.

关键词： Deep Learning Semantic Annotation Arabic Language Ontology

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5G-ALLSTAR: An Integrated Satellite-Cellular System for 5G and Beyond

5G-ALLSTAR: An Integrated Satellite-Cellular System for 5G a...

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IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

作者： Junhyeong Kim Guido Casati Antonio Pietrabissa Alessandro Giuseppi Emilio Calvanese Strinati Nicolas Cassiau Gosan Noh Heesang Chung Ilgyu Kim Marjorie Thary Jean-Michel Houssin Federico Pigni Sylvain Colombero Pierre Dal Zotto Leszek Raschkowski Stephan Jaeckel Future Mobile Communication Research Division ETRI Daejeon Korea Broadband and Broadcast Department Fraunhofer IIS Erlangen Germany Department of Computer Control and Management Engineering University of Rome “Sapienza” Rome Italy Space Research Group Consortium for the Research in Automation and Telecommunication (CRAT) Rome Italy CEA-Leti Grenoble France CEA-Leti MINATEC Campus Grenoble France Thales Alenia Space Toulouse France Department of Management Technology and Strategy Grenoble Ecole de Management - Univ Grenoble Alpes ComUE Grenoble France Wireless Communications and Networks Department Fraunhofer Institute for Telecommunications Heinrich Hertz Institute HHI Berlin Germany Stephan Jaeckel Consulting Germany

ISBN: (数字)9781728151786

ISBN: (纸本)9781728151793

This paper provides an overview of recent research activities of the 5G AgiLe and fLexible integration of SaTellite And cellulaR (5G-ALLSTAR) project which aims to develop Multi-Connectivity technology that integrates the cellular and satellite networks to provide seamless, reliable and ubiquitous broadband services. 5G-ALLSTAR also entails developing millimeter-wave (mmWave) 5G New Radio (NR)-based cellular access system and investigating the feasibility of NR-based satellite access for providing broadband and reliable 5G services. In addition, spectrum sharing between cellular and satellite networks is studied. With all the technologies developed, 5G-ALLSTAR will showcase the first fully integrated satellite and cellular prototype system for 5G and beyond 5G (B5G) services at a big event (e.g., sporting event like Roland-Garros) in 2021. This paper also provides a preliminary techno-economic analysis on potential use cases targeting vertical markets, and introduces recent standardization activities of relevance.

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A Wireless Gauge Pressure Sensor with Enhanced Sensitivity Fabricated by Flexible PCB Technology For Intracranial Pressure Sensing

A Wireless Gauge Pressure Sensor with Enhanced Sensitivity F...

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IEEE Sensors

作者： Yi Chiu You-Zen Chen Chia-Chun Hsieh Hao-Chiao Hong Department of Electrical and Computer Engineering National Chiao Tung University Hsin Chu Taiwan R.O.C. Institute of Electrical and Control Engineering National Chiao Tung University Hsin Chu Taiwan R.O.C. Institute of Biomedical Engineering National Chiao Tung University Hsin Chu Taiwan R.O.C.

This paper presents a gauge pressure sensor based on the standard industrial flexible PCB (FPCB) technology. The wireless LC-resonant sensor consists of a variable sensing capacitor and a planar inductor coil fabricated in FPCB. The air gap of the sensing capacitor is extended through a pressure channel embedded in the FPCB strip to enable relative pressure measurement. Thus, the intracranial pressure (ICP) with respect to local atmosphere can be measured without other calibration means. The flat FPCB structure also facilitates the subdural implantation procedures. Experimental results showed that the proposed gauge pressure sensors with such open sensing structures had much higher frequency sensitivity (0.29%/mmHg) compared with sensors with sealed sensing cavities (0.005%/mmHg) and achieved a resolution of 0.51 mmHg.

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Polynomial Observer for Interval Positive Polynomial Systems

Polynomial Observer for Interval Positive Polynomial Systems

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International Conference on Systems and control (ICSC)

作者： Imen Iben Ammar Hamdi Gassara Ahmed El Hajjaji Fernando Tadeo Mohamed Chaabane National School of Engineers Sfax Laboratory of Sciences and Techniques of Automatic control & computer engineering ENIS PB 1173 Sfax Tunisia Modeling Information and Systems (MIS) Laboratory 33 Rue St Leu Amiens University of Picardie Jules Verne France Department of Systems Engineering and Automatic University of Valladolid Valladolid Spain

This paper is concerned with the design of polynomial observers for positive polynomial interval systems. In order to design the polynomial observer a solution based on Sum Of Squares (SOS) programming is provided. The design conditions are presented in terms of SOS, which can be numerically and symbolically solved via SOSTOOLS and a Semi-Definite Program (SDP) solver. Finally, numerical examples are given to show the feasibility of the proposed approaches.

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