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SSRN 2022年

作者： Zheng, Qiang Hou, Yue Yang, Hailu Tan, Puchuan Shi, Hongyu Xu, Zijin Ye, Zhoujing Chen, Ning Qu, Xuecheng Han, Xi Zou, Yang Cui, Xi Yao, Hui Chen, Yihan Yao, Wenhan Zhang, Jinxi Chen, Yanyan Liang, Jia Gu, Xingyu Wang, Dawei Wei, Ya Xue, Jiangtao Jing, Baohong Zeng, Zhu Wang, Linbing Li, Zhou Wang, Zhong Lin Southeast University China School of Biology and Engineering Guizhou Medical University Guizhou Province Guiyang550025 China CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and Sensor Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing100083 China Beijing Key Laboratory of Traffic Engineering Beijing University of Technology 100 Pingleyuan Chaoyang District Beijing100124 China National Center for Materials Service Safety University of Science and Technology Beijing Haidian District Beijing100083 China Beijing Advanced Innovation Centre for Biomedical Engineering Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education School of Biological Science and Medical Engineering Beihang University Beijing100083 China School of Nanoscience and Technology University of Chinese Academy of Sciences Beijing100049 China School of Transportation Department of Roadway Engineering Southeast University Nanjing211189 China School of Civil Engineering University of Leeds LeedsLS2 9JT United Kingdom Institute of Highway Engineering RWTH Aachen University AachenD52074 Germany School of Transportation Science and Engineering Harbin Institute of Technology China Department of Civil Engineering Tsinghua University Haidian District Beijing100084 China Qingdao Yicheng Sichuang Link of Things Technology Co. LTD Huangdao District Qingdao266555 China Department of Civil and Environmental Engineering Virginia Tech Blacksburg VA24061 United States School of Materials Science and Engineering Georgia Institute of Technology AtlantaGA30332 United States

Sustainable monitoring of traffic using clean energy supply has always been a significant problem for engineers. In this study, we proposed a self-powered smart transportation infrastructure skin (SSTIS) as an innovative and bionic system for the traffic classification of a smart city. This system incorporated the self-powered flexible sensors with net-zero power consumption based on the Triboelectric Nanogenerator (TENG) and an intelligent analysis system based on artificial intelligence (AI). The feasibility of the SSTIS was tested using the full-scale accelerated pavement tests (APT) and the long-short term memory (LSTM) deep learning model with a vehicle axle load classification accuracy up to 89.06%. This robust SSTIS was later tested on highway and collected around 869,600 pieces of signals data. The generative adversarial networks (GAN) WGAN-GP (Wasserstein GAN - Gradient Penalty) was used for data augmentation, due to the imbalanced data of different vehicle types in actual traffic. The overall accuracy for on-road vehicle type classification improved to 84.06% using the convolutional neural network ResNet. Finally, we developed a mobile traffic signal information monitoring system based on cloud platform and Android framework, which enabled engineers to obtain the vehicle axle-load information mobilely. This study is the emerging design and engineering application of the self-powered flexible sensors for smart traffic monitoring, which provides a significant advance for intelligent transportation and smart cities in future. © 2022, The Authors. All rights reserved.

关键词： Long short-term memory

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Determination of Non-Invasive Lung Cancer Biomarker by Quartz Crystal Microbalance Coated with Pegylated Lipopolymer 5

Determination of Non-Invasive Lung Cancer Biomarker by Quart...

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5th International Conference on Process Engineering and advanced Materials, ICPEAM 2018

作者： Rahman, Nur Athirah Awatif Abdul Ma'Radzi, Akmal Hadi Zakaria, Ammar School of Bioprocess Engineering University Malaysia Perlis Perlis Arau02600 Malaysia Centre of Excellence for Advanced Sensor Technology University Malaysia Perlis Perlis Arau02600 Malaysia

This study presents the application of pegylated lipopolymer to coat a sensor device called quartz crystal microbalance (QCM) for analysis of volatile organic compounds (VOC) on the non-invasive detection of lung cancer biomarkers. The chosen biomarker for this study was propanol, ethyl benzene, hexanal, and decane. QCM with fundamental frequency 30 MHz AT-cut with gold electrode was coated with sensing material composed of lipid, and pegylated lipopolymer with functional group carboxyl and succinyl to increase sensor sensitivity for biomarker detection purposes. The fabricated sensors could detect all presented biomarker with various selectivity and sensitivity responses. Furthermore, the results from biomarker exposure indicated that the sensitivity of sensors coated with succinyl pegylated lipopolymer film was better than non-coated sensor or coated with carboxyl lipopolymer and lipid films to each selected biomarkers. © Published under licence by IOP Publishing Ltd.

关键词： Quartz crystal microbalances

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Human 3D Reconstruction and Identification Using Kinect sensor

Human 3D Reconstruction and Identification Using Kinect Sens...

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International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)

作者： Chai Joon Lip Ahmad Shakaff Ali Yeon Latifah Munirah Kamarudin Kamarulzaman Kamarudin Retnam Visvanathan Ahmad Firdaus Ahmad Zaidi Syed Muhammad Mamduh Ammar Zakaria Wan Mohd Nooriman School of Mechatronic Engineering Universiti Malaysia Perlis Arau Malaysia Center of Excellence for Advanced Sensor Technology Universiti Malaysia Perlis Arau Malaysia

ISBN: (纸本)9781538683705

3D model of human body has been widely used in many applications including medical, health and security, since it is able to provide information on human body shape. This paper proposes a method to identify human based on the 3D model of the body and the depth data form the Kinect. The system firstly utilizes the coordinate points from the 3D model to calculate the selected anthropometry features of human body. Then, the features are compared with real time Kinect's depth acquisition to perform pose recognition and human identification. Eight candidates were involved in the reliability test of the system with each of them performed 6 trials, making a total of 48 trials. The overall reliability of the system in identifying the correct candidate was found to be 79.167%.

关键词： Three-dimensional displays Solid modeling Robot sensing systems Iris recognition Fingerprint recognition Image reconstruction Mathematical model

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Surface Temperature Distribution Aluminum Block with Cone Tube Profile Calculated Using ANSYS Fluent

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Journal of Physics: Conference Series 2021年第1期2070卷

作者： S P Sakti F J Kusuma T Putro Abdurrouf Sensor Technology Laboratory Department of Physics Brawijaya University Jl. Veteran Malang 65145 Indonesia Collaborative Research Centre for Advanced Systems and Material Technology Brawijaya University Jl. Veteran Malang 65145 Indonesia Computational Physics Laboratory Department of Physics Brawijaya University Jl. Veteran Malang 65145 Indonesia

Thermal Cycler is the main part of the Polymerase Chain Reaction (PCR), which becoming a gold standard for Covid-19 diagnosis. The virus multiplication in an order to a detectable concentration is done by placing the virus solution at a deterministic temperature cycle. The solution is placed in a small tube inserted in a temperature block. Temperature distribution of the thermal block is important to make all the tube with sample treated at the same at desired target temperature. Study on the thermal block made of aluminium 7075 was simulated using fluid dynamic finite element method. Heating and colling to the target temperature was done by providing heat source and heat absorber. The temperature distribution on the surface was mapped. The temperature gradient perpendicular to the heat source was calculated. Assuming the environment of the thermal block was still air, the heating and cooling speed at given heat source and heat removal were calculated using the model. The temperature gradient from the top surface to the bottom surface is less than 2.5°C. The temperature difference among point at the surface is less than 0.1°C.

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Correction: Quantitative assessment of cardiomyocyte mechanobiology through high-throughput cantilever-based functional well plate systems

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The Analyst 2023年第1期149卷 254页

作者： Jongyun Kim Arunkumar Shanmugasundaram Dong-Su Kim Yun-Jin Jeong Pooja P Kanade Eung-Sam Kim Bong-Kee Lee Dong-Weon Lee MEMS and Nanotechnology Laboratory School of Mechanical Engineering Chonnam National University Gwangju 61186 Republic of Korea. mems@jnu.ac.kr. Advanced Medical Device Research Center for Cardiovascular Disease Chonnam National University Gwangju 61186 Republic of Korea. Green Energy & Nano Technology R&D Group Korea Institute of Industrial Technology (KITECH) Gwangju 61012 Republic of Korea. Department of Biological Sciences Chonnam National University Gwangju 61186 Republic of Korea. Center for Next-Generation Sensor Research and Development Chonnam National University Gwangju 61186 Republic of Korea.

Correction for 'Quantitative assessment of cardiomyocyte mechanobiology through high-throughput cantilever-based functional well plate systems' by Jongyun Kim , , 2023, , 5133-5143, https://***/10.1039/D3AN012...

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Research on Convolutional Neural Network Model for Sonar IMAGE Segmentation 2

Research on Convolutional Neural Network Model for Sonar IMA...

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2nd International Conference on Mechanical, System and Control Engineering, ICMSC 2018

作者： Jiao, Shengxi Zhao, Chunyu Xin, Ye Northeast Electric Power University Advanced Sensor Technology Institute Jilin Jilin132011 China Northeast Electric Power University Fault Diagnosis Institute Jilin Jilin132011 China

The speckle noise of sonar images affects the human interpretation and automatic recognition of images seriously. It is important and difficult to realize the precision segmentation of sonar image with speckle noise in the field of image processing. Full convolution neural network (FCN) has the advantage of accepting arbitrary size image and preserving spatial information of original input image. In this paper, the image features are obtained by autonomic learning of convolutional neural network, the original learning rules based on the mean square error loss function is improved. Taking the pixel as the processing unit, the segmentation method based on FCN model with relative loss function(FCN-RLF) for small submarine sonar image is proposed, sonar image pixel-level segmentation is achievied. Experimental results show that the improved algorithm can improve the segmentation accuracy and keep the edge and detail of sonar image better. The proposed model has better ability to reject sonar image speckle noise. © The Authors, published by EDP Sciences, 2018.

关键词： Neural network models

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Growth and optical studies of tris (thiourea) potassium barium sulphate crystal: a novel semiorganic NLO bimetallic crystal

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Materials Research Innovations 2019年第3期23卷 123-128页

作者： Azhar, S.M. Hussaini, S.S. Shirsat, M.D. Rabbani, G. Shkir, Mohd Alfaify, S. Ghramh, H.A. Baig, M.I. Anis, Mohd Department of Physics and Electronics Sir Sayyed College Aurangabad India Crystal Growth Laboratory Department of Physics Milliya Arts Science and Management Science College Beed India RUSA Centre for Advanced Sensor Technology Department of Physics Dr. Babasaheb Ambedkar Marathwada University Aurangabad India Dr. Rafiq Zakaria Centre for Higher Learning and Advanced Research Dr. Rafiq Zakaria Campus Aurangabad India Department of Physics College of Science King Khalid University Abha Saudi Arabia King Khalid University Abha Saudi Arabia Faculty of Science Department of Biology King Khalid University Abha Saudi Arabia Prof Ram Meghe College of Engineering and Management Amravati India Departmen of Physics Sant Gadge Baba Amravati University Amravati India

A novel tris (thiourea) potassium barium sulphate (TTPBS) complex has been synthesized and the complex formation was confirmed by means of spectroscopic analysis. The TTPBS single crystal has been grown by most commercial slow solvent evaporation method. The single crystal X-ray diffraction technique has been employed to confirm the crystal structure and unit cell dimensions of TTPBS crystal. The functional groups of grown crystal have been identified by means of Fourier transform infrared analysis. The constituent elements of title crystal have been determined by means of EDS technique. In UV–visible studies the TTPBS crystal has been testified within 200–900 nm to examine the optical transparency and determine the optical band gap. The frequency conversion efficiency of TTPBS crystal has been assessed by means of Kurtz-Perry test. He–Ne laser assisted Z-scan technique has been employed to ascertain the third order nonlinear optical (TONLO) refraction and absorption effect in TTPBS crystal. The magnitude of TONLO refractive index (n 2), absorption coefficient (β) and susceptibility (χ3) of title crystal has been illustrated using the Z-scan data. The Nd:YAG laser facilitated surface damage threshold of TTPBS crystal has been determined and it is found to be in MW/cm2 range. © 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Single crystals

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2.4GHz RF based Active RFID Localization in Industrial Environment

2.4GHz RF based Active RFID Localization in Industrial Envir...

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IEEE International Conference on sensors and Nanotechnology

作者： Kenny Fong Peng Wye Ericson Kanagaraj Syed Muhammad Mamduh Syed Zakaria Latifah Munirah Kamarudin Ammar Zakaria Norhawati Binti Ahmad Centre of Excellence Advanced Sensor Technology Universiti Malaysia Perlis Perlis Malaysia School Computer & Communication Engineering Universiti Malaysia Perlis Perlis Malaysia School of Microelectronic Engineering Universiti Malaysia Perlis Perlis Malaysia

ISBN: (纸本)9781538662182

This paper documents the implementation of a zone-based localization in an industrial environment based on active RFID system by observing the RSSI values. The active RFID system uses signal strength information to classify which zone the RFID tags are located in. The zoning classification uses Rules-based algorithm to determine the RFID tag allocated zone. The experiment testbed is divided into 4 zones and the number of readers is placed based on the activity coverage for the zone. The active RFID reader characteristics was also studied to determine its range and coverage in the industrial environment. The reader was found to cover 40 m × 70 m read range in the current setup. The Rules-based zone localization is verified with the zone profiling throughout the movement around the testbed.

关键词： sensor systems Active RFID tags Antenna radiation patterns

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Effect of Environmental Temperature and Humidity on Different Metal Oxide Gas sensors at Various Gas Concentration Levels

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IOP Conference Series: Materials Science and Engineering 2020年第1期864卷

作者： Abdulnasser Nabil Abdullah Kamarulzaman Kamarudin Syed Muhammad Mamduh Abdul Hamid Adom Zaffry Hadi Mohd Juffry School of Mechatronics Engineering Universiti Malaysia perlis (UniMAP) Arau Malaysia Centre of Excellence for Advanced Sensor Technology (CEASTech) Universiti Malaysia Perlis Arau Malaysia

Metal Oxide (MOX) semiconductor gas sensors have been widely used in monitoring targeted gases that are present in the environment. This type of gas sensor can also be utilized as a safety device to detect the source of gas leakage. Their uses in many applications are due to being user-friendly, lower in cost, high sensitivity and relatively quick response time. However, there are several factors that could affect their performance. This work investigates the effects of the changes in ambient temperature and humidity on the readings of these sensors at various gas concentration levels. A PCB board was developed, which consists of temperature and humidity sensors, as well as eight different MOX gas sensors (TGS2600, TCS2602, CCS803, MiCS552, GM-402B, GM-502B, GM-702B and MiCS6814). The board was subjected to various temperatures (16˚C to 30˚C) and humidity levels (45% to 75%). At each of these parameter settings, the gas sensor responses were recorded at different ethanol gas concentrations. The results of the study showed that the temperature and humidity affected all the gas sensor response. The magnitude of the sensors responses was observed to decrease with rising temperature and humidity levels, except for MICS6814 (NH3 sensor) which responses in the opposite manner. Hence, there is the need to take into consideration of the drift of gas sensors' responses when there are changes in temperature and humidity.

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Bulk growth and analysis on luminescence, third order nonlinear optical, laser damage threshold, dielectric and thermal properties of KDP crystal doped with BTZC complex

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Materials Research Innovations 2018年第7期22卷 404-408页

作者： Rasal, Y.B. Anis, Mohd Shirsat, M.D. Hussaini, S.S. Crystal Growth Laboratory Department of Physics Milliya Arts Science and Management Science College Beed India Department of Physics Sant Gadge Baba Amravati University Amravati India RUSA Centre for Advanced Sensor Technology Dr. Babasaheb Ambedkar Marathwada University Aurangabad India

The 34 × 10 × 06 mm3 bulk single crystal of bis-thiourea zinc chloride (BTZC) doped potassium dihydrogen phosphate (KDP) material has been grown from solution evaporation growth technique. The color centered photoluminescence nature of grown crystal has been investigated in visible region of interest. The He–Ne laser assisted Z-scan analysis has been carried out to explore the promising third order nonlinear optical behavior of BTZC-KDP crystal. The origin of nonlinear refraction (n 2), the absorption coefficient (β) and susceptibility (χ3) has been discussed and their respective magnitudes have been determined using the Z-scan transmittance data. The high magnitude of laser damage threshold (GW/cm2) of grown crystal has been determined using the 1064 nm Nd:YAG laser. The influence of increasing temperature on dielectric constant and dielectric loss of pure and BTZC doped KDP crystal has been comparatively investigated. The thermal decomposition and the melting profile of BTZC doped KDP crystal has been investigated by means of simultaneous thermogravimetric and differential thermal analysis. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Nonlinear optics

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