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Research on properties of alkali activated lead-zinc mineral powder cementitious materials

Journal of Physics: Conference Series 2021年第3期1885卷

作者： Bicheng Yuan Weiting Gong Sicheng Chen Peng Li Department of Composite Materials and Engineering Wuhan University of Technology Wuhan 430070 PR China Department of Business Administration Wuhan University of Technology Wuhan 430070 PR China Department of Measurement and Control Technology and Instrumentation Wuhan University of Technology Wuhan 430070 PR China School of Entrepreneurship Wuhan University of Technology Wuhan 430070 PR China

Cement has long been used as the main cementing material of the artesian paste filling material in the goaf of a mine, giving a generally high strength. However, the cement 'two grinding and one burning' process consumes a lot of energy, which aggravates the greenhouse effect. Therefore, a new type of cementitious material with lower energy consumption and lower emissions is needed. Solid wastes are useless by-products after mining and beneficiation, which are often dry piled in the open air, wasting land resources and polluting the environment. This project studied an alkali-activated mineral powder cementitious material, delineated its internal structure and morphology, and tested its mechanical properties. In a gelling system with 70% mineral powder, 30% Portland cement, 1% sodium silicate and a water-cement ratio of 0.4, the hydration reaction commenced the earliest and the early strength of the test block was the highest. In addition, further increasement in proportion of mineral powder or sodium silicate could not have a positive effect on the early strength of the system.

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Person Identification with Voice and Ear-print in Degraded Conditions for Smart Home Access

Person Identification with Voice and Ear-print in Degraded C...

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International Conference on Cyberworlds

作者： Sana Boujnah Radhia Ferjaoui Anouar Ben Khalifa National Engineering School of Tunis University of Tunis El Manar Tunisia NOCCS-Laboratory of Networked Objects Control and Communication Systems Eniso Tunisia University of Tunis El Manar Research Laboratory of biophysics and Medical technologies(LRBTM) ISTMT Tunis Tunisia Université de Sousse Ecole Nationale d’Ingénieurs de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Sousse Tunisie Université de Jendouba Institut National des Technologies et des Sciences du Kef Le Kef Tunisie

Since the smartphone is adapted to the ambient intelligence and the smart home systems are remotely accessed through the smartphones, there is a need for a secure authentication system based on some biometrics proprieties that can be taken from a smartphone. The identification of persons through ear and voice print is one of the basic biometric matters. The earlier research in ear recognition have shown that human ear is one of the representative human biometrics with uniqueness and stability. Indeed, the human voice is a perfect source of data for person identification in many applications. In this paper, we propose a fusion between the ear and voice biometrics in degraded conditions in a smart home context at 3 levels (feature, score, and decision). The experiments are conducted on the EVDDC database and a chimeric database (TIMIT and USTB-I). The best results are obtained with the feature level fusion (95.8%) with the KNN classifier.

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Hybrid approach for speaker recognition based on formant and pitch extraction

Hybrid approach for speaker recognition based on formant and...

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International Conference on Cyberworlds

作者： Sana Boujnah Radhia Ferjaoui Anouar Ben Khalifa National Engineering School of Tunis University of Tunis El Manar Tunisia NOCCS-Laboratory of Networked Objects Control and Communication Systems Eniso Tunisia Research Laboratory of biophysics and Medical technologies(LRBTM) ISTMT University of Tunis El Manar Tunis Tunisia Ecole Nationale d’Ingénieurs de Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Sousse Tunisie Institut National des Technologies et des Sciences du Kef Université de Jendouba Le Kef Tunisie

Human voice is an ideal data source for identifying people in many applications. Because of the increasing need for security in different public places, voice biometrics may be a good solution, as we can easily take voice records. This paper provides a brief overview of the approaches utilized in recognizing speakers, and then presents a novel approach for recognizing speakers in degraded smart-home conditions. The suggested approach includes a pre-processing phase, a feature extraction phase, and a classification phase, where the feature extraction phase consists of formant extraction to get the spectrum energy maxima of speech audio, dynamic time warping (DTW)to find an optimal alignment between two provided temporal sequences under definite restrictions, and refinement process to improve the results of the DTW system output. The experiments are carried out on a database containing 1,248 samples in order to validate the suggested approach. The latter has good results as regards the state of the art with 94.5% accuracy.

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A realization method of rotating speed measurement based on different M/T

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AIP Conference Proceedings 2017年第1期1829卷

作者： Jingbo Xu Xianyu Yin Xiaomeng Cui Zhiliang Liu 1School of Measure-control Technology & Communication Engineering Harbin University of Science and Technology Harbin Heilongjiang 150080 China 2State Key Laboratory of Hydropower Equipment Harbin Institute of Large Electrical Machinery Harbin Heilongjiang 150046 China

A realization method for rotating speed measurement is put forward in this paper. Timer 1 of STM32F103 is used to count the external pulses and its timer 2 is used to count the internal clock pulses. Two timers are set in master-slaver synchronous mode, and the rotating speed is computed based on different M/T method. This realization method can ensure the two timers strictly synchronously work, and the counting value of the master timer can also be set dynamically according to rotating speed. This method has high measurement accuracy and wide measurement range, and is easy to realize.

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Nonlinear analysis of dynamical complex networks 2014

Abstract and Applied Analysis

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Abstract and Applied Analysis 2014年第1期2014卷

作者： Wang, Zidong Shen, Bo Dong, Hongli Hu, Jun He, Xiao Ding, Derui Department of Computer Science Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Communication Systems and Networks (CSN) Research Group Faculty of Engineering King Abdulaziz University Jeddah 21589 Saudi Arabia School of Information Science and Technology Donghua University Shanghai 200051 China College of Electrical and Information Engineering Northeast Petroleum University Daqing 163318 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Department of Applied Mathematics Harbin University of Science and Technology Harbin 150080 China Department of Automation Tsinghua University Beijing 100084 China Department of Applied Mathematics Anhui Polytechnic University Wuhu 241000 China

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Innovation, Research and Development in engineering Education. Activities of the Spanish Chapter of the IEEE Education Society: Directive Board of the IEEE Education Society Spanish Chapter 2020-2021

Innovation, Research and Development in Engineering Educatio...

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Technologies Applied to Electronics Teaching (TAEE)

作者： Ó scar Martí nez Bonastre Cristina Ferná ndez Lluí s Vicent Francisco Mur Manuel Castro Gabriel Diaz Jose Carpio Elio Sancristobal Sergio Martin Jose Sá nchez Francisco Javier Arcega Solsona Juan Suardiaz Muro Manuel Caeiro-Rodrí guez Martí n Llamas Inmaculada Plaza Baltasar Ferná ndez Manjó n Pedro Muñ oz-Merino Edmundo Tovar Telmo Zarraonandia Ayo Javier Garcia Zubia José Antonio Delgado Pení n Department of Statistics Mathematics and Computing Science Operations Research Centre Universidad Miguel Hern&#x00E1 ndez Elche Spain Department of Electronic Technology Universidad Carlos III de Madrid Madrid Spain UPF Barcelona School of Management Barcelona Spain Department of Electrical Electronic and Control Engineering UNED Madrid Spain Department of Electrical Engineering Universidad de Zaragoza Zaragoza Spain Department of Automatics Electrical Engineering and Electronic Technology Technical University of Cartagena Cartagena Spain atlanTTic Research Center University of Vigo Vigo Spain Department of Electronics and Communication Universidad de Zaragoza Zaragoza Spain Department of Software Engineering and Artificial Intelligence Complutense University of Madrid Madrid Spain Department of Telematic Engineering Universidad Carlos III de Madrid Madrid Spain Department of Computer Languages and Systems and Software Engineering Universidad Polit&#x00E9 cnica de Madrid Madrid Spain Department of Computer Science and Engineering Universidad Carlos III de Madrid Madrid Spain Department of Electronic Engineering Universidad de Deusto Bilbao Spain Universitat Polit&#x00E8 cnica de Catalunya Barcelona Spain

ISBN: (数字)9781665421614

ISBN: (纸本)9781665421621

The Technical Committee of the CESEI (Spanish Chapter of the IEEE Education Society) is focused on the Innovation, Research and Development (I+R+D) of the education in engineering, mainly Electric and Computer engineering. As in other interdisciplinary fields, the I+R+D involves several sources of information and different stakeholders, each one with its own focus and purpose. As a result, sometimes it may be complex for practitioners and researchers to identify the more appropriate entities for their interests. This paper shows how the CESEI Technical Committee tries to solve this difficulty by providing updated information regarding the main publications (journals), events (conferences) and awards to the best academic works. The paper focuses special attention on the activities held during 2020–2021.

关键词： Technological innovation Collaboration Stakeholders engineering education Research and development

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Artificial intelligence enabled radio propagation for communications-Part II: Scenario identification and channel modeling

arXiv

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arXiv 2021年

作者： Huang, Chen He, Ruisi Ai, Bo Molisch, Andreas F. Lau, Buon Kiong Haneda, Katsuyuki Liu, Bo Wang, Cheng-Xiang Yang, Mi Oestges, Claude Zhong, Zhangdui The Purple Mountain Laboratories Nanjing211111 China The National Mobile Communications Research Laboratory School of Information Science and Engineering Southeast University Nanjing210096 China The State Key Lab of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China The Key Laboratory of Railway Industry of Broadband Mobile Information Communications Beijing Jiaotong University Beijing100044 China The School of Information Engineering Zhengzhou University Zhengzhou450001 China Peng Cheng Laboratory Shenzhen518055 China The Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los AngelesCA90089 United States The Department of Electrical and Information Technology Lund University Lund22100 Sweden The Department of Radio Science and Engineering Aalto University Aalto00076 Finland The School of Engineering University of Glasgow GlasgowG12 8QQ United Kingdom The Institute of Information and Communication Technologies Electronics and Applied Mathematics Universite Catholique de Louvain Louvain-la-Neuve 1348 Belgium

This two-part paper investigates the application of artificial intelligence (AI) and in particular machine learning (ML) to the study of wireless propagation channels. In Part I, we introduced AI and ML as well as provided a comprehensive survey on ML enabled channel characterization and antenna-channel optimization, and in this part (Part II) we review state-of-the-art literature on scenario identification and channel modeling here. In particular, the key ideas of ML for scenario identification and channel modeling/prediction are presented, and the widely used ML methods for propagation scenario identification and channel modeling and prediction are analyzed and compared. Based on the state-of-art, the future challenges of AI/ML-based channel data processing techniques are given as well. © 2021, CC BY-NC-ND.

关键词： Machine learning

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Moving Vehicle Detection with Shadow Elimination Based on Improved ViBe Algorithm

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Journal of Physics: Conference Series 2019年第2期1302卷

作者： Xue Xia Xiaobo Lu Yichao Cao Shudong Xia Changqing Fu School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China Beijing PKU Trans Info Technology Co. Ltd Beijing 100193 China

Moving vehicle detection based on video processing has been widely used in intelligent transportation system recently. However there are also many problems, such as dynamic background, ghost region, and shadow of moving objects. This paper proposes an improved ViBe object detection algorithm. First, an accurate background image is obtained by using the multi-frame averaging method, and then the background model is initialized by this accurate background image, thus effectively reducing the generation of ghost region. Whenever there is no moving object for a fixed number of consecutive frames in the video, this frame is updated to the background image. Conservative update strategy and foreground point counting method are adopted to update the background and reduce the impact of dynamic background on the foreground detection. Next, the foreground image detected by improved ViBe algorithm is input into the shadow elimination method proposed in this paper. Shadows in foreground pixels are detected in RGB color space, and then the pixels determined as shadows are eliminated. Finally, accurate moving vehicles are obtained. Our algorithm can effectively eliminate the shadows of moving vehicles, quickly adapt to background changes and illumination mutation, and get accurate moving objects, which is helpful for vehicle contour extraction and subsequent image processing.

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Characterizing human collective behaviours of COVID-19 in Hong Kong

arXiv

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arXiv 2022年

作者： Du, Zhanwei Zhang, Xiao Wang, Lin Yao, Sidan Bai, Yuan Tan, Qi Xu, Xiaoke Pei, Sen Xiao, Jingyi Tsang, Tim K. Liao, Qiuyan Lau, Eric H.Y. Wu, Peng Gao, Chao Cowling, Benjamin J. WHO Collaborating Centre for Infectious Disease Epidemiology and Control School of Public Health Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong Laboratory of Data Discovery for Health Hong Kong Science and Technology Park New Territories Hong Kong Department of Genetics University of Cambridge CambridgeCB2 3EH United Kingdom Singapore College of Information and Communication Engineering Dalian Minzu University Dalian China Department of Environmental Health Sciences Mailman School of Public Health Columbia University New YorkNY10032 United States Northwestern Polytechnical University Xi'An China

People are likely to engage in collective behaviour online during extreme events, such as the COVID-19 crisis, to express their awareness, actions and concerns. Hong Kong has implemented stringent public health and social measures (PHSMs) to curb COVID-19 epidemic waves since the first COVID-19 case was confirmed on 22 January 2020. People are likely to engage in collective behaviour online during extreme events, such as the COVID-19 crisis, to express their awareness, actions and concerns. Here, we offer a framework to evaluate interactions among individuals' emotions, perception, and online behaviours in Hong Kong during the first two waves (February to June 2020) and found a strong correlation between online behaviours of Google search and the real-time reproduction numbers. To validate the model output of risk perception, we conducted 10 rounds of cross-sectional telephone surveys from February 1 through June 20 in 2020 to quantify risk perception levels over time. Compared with the survey results, the estimates of the risk perception of individuals using our network-based mechanistic model capture 80% of the trend of people's risk perception (individuals who worried about being infected) during the studied period. We may need to reinvigorate the public by engaging people as part of the solution to live their lives with reduced risk. © 2022, CC BY-NC-ND.

关键词： Risk perception

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Biomimetic sensing by the photoreceptor membrane protein bacteriorhodopsin

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Journal of the National Institute of Information and communications technology 2013年第1期60卷 75-83页

作者： Kasai, Katsuyuki Haruyama, Yoshihiro Yamada, Toshiki Akiba, Makoto Tominari, Yukihiro Kaji, Takahiro Terui, Toshifumi Peper, Ferdinand Katagiri, Yoshitada Tanaka, Shukichi Kikuchi, Hiroshi Okada-Shudo, Yoshiko Otomo, Akira Nano ICT Laboratory Department of Quantum Optics Nonlinear Optics Laser Control Advanced ICT Research Institute Japan Nano ICT Laboratory Department of Bio-Materials Advanced ICT Research Institute Japan Nano ICT Laboratory Department of Organic Materials Material Physics Optical Measurement Nano Materials Advanced ICT Research Institute Japan Planning Office Department of Photodetection Technology Semiconductor Device Low-Noise Technology Advanced ICT Research Institute Japan Nano ICT Laboratory Department of Superconductor Organic Electronics Terahertz Advanced ICT Research Institute Japan Nano ICT Laboratory Department of Laser Photochemistry Single-Molecule Spectroscopy Nanophotonics Advanced ICT Research Institute Japan Strategic Planning Office Strategic Planning Department Japan Brain Networks and Communication Laboratory Department of Nanocomputer Architectures Cellular Automata Neural Networks Natural Computing Center for Information and Neural Networks Japan Brain Networks and Communication Laboratory Department of Health Science and Informatics Human Informatics Center for Information and Neural Networks Japan Nano ICT Laboratory Terahertz Technology Research Center Advanced ICT Research Institute Japan Japan Graduate School of Informatics and Engineering Dept. of Engneering Science Japan Nano ICT Laboratory Depatment of Nanophotonics Nonlinear Optics Advanced ICT Research Institute Japan

Bacteriorhodopsin (bR) is a light-sensitive protein which has a proton-pump function, and is found in the cell membrane of Halobacterium salinarum inhabiting the salt lake. Optical excitation of bR at an electrode-electrolyte interface generates differential photocurrents while an incident light is turned on and off. This unique functional response is similar to that seen in retinal neurons. This paper describes the fabrication and evaluation of the dip-coated bR thin films, photocurrent characteristics, and biomimetic artificial retinas with the bR thin films.

关键词： Biomimetics

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