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Clustering Indoor Location Data for Social Distancing and Human Mobility to Combat COVID-19

Computers, Materials & Continua 2022年第4期71卷 907-924页

作者： Yuan Ai Ho chee keong.tan Yin Hoe Ng School of Information Technology Monash University MalaysiaJalan Lagoon SelatanBandar Sunway47500Selangor Darul EhsanMalaysia Faculty of Engineering Multimedia UniversityPersiaran MultimediaCyberjaya63100Selangor Darul EhsanMalaysia

The world is experiencing the unprecedented time of a pandemic caused by the coronavirus disease(i.e.,COVID-19).As a countermeasure,contact tracing and social distancing are essential to prevent the transmission of the virus,which can be achieved using indoor location *** on the indoor location analytics,the human mobility on a site can be monitored and planned to minimize human’s contact and enforce social distancing to contain the transmission of *** the indoor location data,the clustering can be applied to cluster spatial data,spatio-temporal data and movement behavior features for proximity detection or contact tracing *** specifically,we propose the Coherent Moving Cluster(CMC)algorithm for contact tracing,the density-based clustering(DBScan)algorithm for identification of hotspots and the trajectory clustering(TRACLUS)algorithm for clustering indoor *** feature extraction mechanism is then developed to extract useful and valuable features that can assist the proposed system to construct the network of users based on the similarity of the movement behaviors of the *** network of users is used to model an optimization problem to manage the human mobility on a *** objective function is formulated to minimize the probability of contact between the users and the optimization problem is solved using the proposed effective scheduling solution based on *** simulation results show that the proposed indoor location analytics system outperforms the existing clustering methods by about 30%in terms of accuracy of clustering *** adopting this system for human mobility management,the count of close contacts among the users within a confined area can be reduced by 80%in the scenario where all users are allowed to access the site.

关键词： Indoor location analytics COVID-19 contact tracing social distancing spatial-temporal dimensions human mobility

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Robust Fingerprint Construction Based on Multiple Path Loss Model (M-PLM) for Indoor Localization

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Computers, Materials & Continua 2023年第1期74卷 1801-1818页

作者： Yun Fen Yong chee keong.tan Ian Kim Teck tan Su Wei tan School of Information Technology Monash University MalaysiaSubang JayaSelangorMalaysia School of Mathematical and Computer Sciences Heriot-Watt University MalaysiaWilayah Persekutuan PutrajayaMalaysia

A robust radio map is essential in implementing a fingerprint-based indoor positioning system(IPS).However,the offline site survey to manually construct the radio map is time-consuming and *** interpolation techniques have been proposed to infer the virtual fingerprints to reduce the time and effort required for offline site *** paper presents a novel fingerprint interpolator using a multi-path loss model(MPLM)to create the virtual fingerprints from the collected sample data based on different signal paths from different access points(APs).Based on the historical signal data,the poor signal paths are identified using their standard *** proposed method reduces the positioning errors by smoothing out the wireless signal fluctuations and stabilizing the signals for those poor signal *** consideringmultipath signal propagations from different APs,the inherent noise from these signal paths can be ***,locations of the signal data with standard deviations higher than the threshold are *** new fingerprints are then generated at these locations based on the proposed M-PLM interpolation function to replace the old *** proposed technique interpolates virtual fingerprints based on good signal paths with more stable signals to improve the positioning *** results show that the proposed scheme enhances the positioning accuracy by up to 44%compared to the conventional interpolation techniques such as the Inverse DistanceWeighting,Kriging,and single Path *** a result,we can overcome the site survey problems for IPS by building an accurate radio map with more reliable signals to improve indoor positioning performance.

关键词： Path loss model radio map indoor positioning system interpolation fingerprinting

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An Efficient Stacked-LSTM Based User Clustering for 5G NOMA Systems

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Computers, Materials & Continua 2022年第9期72卷 6119-6140页

作者： S.Prabha Kumaresan chee keong.tan Yin Hoe Ng Faculty of Engineering Multimedia UniversityCyberjaya63100Malaysia School of Information Technology Monash UniversitySubang Jaya47500Malaysia

Non-orthogonal multiple access(NOMA)has been a key enabling technology for the fifth generation(5G)cellular *** on the NOMA principle,a traditional neural network has been implemented for user clustering(UC)to maximize the NOMA system’s throughput performance by considering that each sample is independent of the prior and the subsequent ***,the prediction of UC for the future ones is based on the current clustering information,which is never used again due to the lack of memory of the ***,to relate the input features of NOMA users and capture the dependency in the clustering information,time-series methods can assist us in gaining a helpful insight into the *** its mathematical complexity,the essence of time series comes down to examining past behavior and extending that information into the ***,in this paper,we propose a novel and effective stacked long short term memory(S-LSTM)to predict the UC formation of NOMA users to enhance the throughput performance of the 5G-based NOMA *** the proposed strategy,the S-LSTM is modelled to handle the time-series input data to improve the predicting accuracy of UC of the NOMA users by implementing multiple LSTM layers with hidden *** implemented LSTM layers have feedback connections that help to capture the dependency in the clustering information as it propagates between the ***,we develop,train,validate and test the proposed model to predict the UC formation for the futures ones by capturing the dependency in the clustering information based on the time-series *** results demonstrate that the proposed scheme effectively predicts UC and thereby attaining near-optimal throughput performance of 98.94%compared to the exhaustive search method.

关键词： Non-orthogonal multiple access(NOMA) deep neural network(DNN) long short term memory(LSTM) temporal channel user clustering

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High responsivity and fast response 8×8β-Ga_(2)O_(3)solar-blind ultraviolet imaging photodetector array

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Science China(Technological Sciences) 2023年第11期66卷 3259-3266页

作者： SHEN GaoHui LIU Zeng tanG Kai SHA ShuLin LI Lei tan chee-keong GUO YuFeng tanG WeiHua Innovation Center of Gallium Oxide Semiconductor(IC-GAO) College of Integrated Circuit Science and EngineeringNanjing University of Posts and TelecommunicationsNanjing 210023China National and Local Joint Engineering Laboratory for RF Integration and Micro-Assembly Technologies Nanjing University of Posts and TelecommunicationsNanjing 210023China Key Laboratory of Aerospace Information Materials and Physics(NUAA) MIITNanjing 211106China College of Physics MIIT Key Laboratory of Aerospace Information Materials and PhysicsKey Laboratory for Intelligent Nano Materials and DevicesNanjing University of Aeronautics and AstronauticsNanjing 211106China Advanced Materials Thrust Function HubThe Hong Kong University of Science and Technology(Guangzhou)Nansha 511458China Department of Electronic and Computer Engineering School of EngineeringThe Hong Kong University of Science and TechnologyHong Kong 999077China

In this work,an 8×8 Ga_(2)O_(3)solar-blind ultraviolet photodetector array is introduced for image sensing *** 2-in wafer-scaled Ga_(2)O_(3)thin film was grown by metalorganic chemical vapor deposition technique;and the photodetector array was fabricated through ultraviolet photolithography,lift-off,and electron-beam *** addition to the high solar-blind/visible rejection ratio of 104,every photodetector cell in the array has high performance and fast response speed,such as responsivity of 49.4 A W^(-1),specific detectivity of 6.8×10^(14)Jones,external quantum efficiency of 1.9×10^(4)%,linear dynamic range of 117.8 d B,and response time of 41 ms,respectively,indicating the high photo-response performance of the ***,the photodetector array displayed uniform responsivity with a standard deviation of~6%,and presented a sensing image of low chromatic aberration,owing to the high resolution of the photodetector *** a word,this work may contribute to developing Ga_(2)O_(3)-based optoelectronic device applications.

关键词： Ga_(2)O_(3) photodetector array imaging photo-response

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Influence of laser parameters on the microstructures and surface properties in laser surface modification of biomedical magnesium alloys

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Journal of Magnesium and Alloys 2024年第1期12卷 72-97页

作者： chee Ying tan Cuie Wen Hua Qian Ang School of Engineering RMIT UniversityMelbourneVictoria 3001Australia

Biodegradable implants from magnesium(Mg)alloys have emerged in the biomedical field especially in the orthopedic and cardiovascular stent applications owing to their low density,high specific strength,excellent machinability,good biocompatibility,and *** primary shortcoming of Mg-based implants is their low corrosion resistance in the physiological environment,which results in premature mechanical integrity loss before adequate healing and the production of excessive hydrogen gas,which is harmful to the body tissues and negatively affects the biocompatibility of the *** surface modification has recently received attention because it can improve the surface properties such as surface chemistry,roughness,topography,corrosion resistance,wear resistance,hydrophilicity,and thus cell response to the surface of the *** composition and microstructures including textures and phases of laser-treated surfaces depend largely on the laser processing parameters(input laser power,laser scan velocity,frequency,pulse duration,pressure,gas circulation,working time,spot size,beam focal position,and laser track overlap)and the thermophysical properties of the substrate(solubility,melting point,and boiling point).This review investigates the impacts of various laser surface modification techniques including laser surface melting,laser surface alloying,laser cladding,laser surface texturing,and laser shock peening,and highlights their significance in improving the surface properties of biodegradable Mg alloys for implant ***,we explore how different laser process parameters affect its composition,microstructure,and surface properties in each laser surface modification technique.

关键词： Biocompatibility Biodegradability Corrosion Implant applications Laser surface modification Magnesium alloys

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Antiviral activity of traditional Chinese medicinal plants Dryopteris crassirhizoma and Morus alba against dengue virus

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Journal of Integrative Agriculture 2020年第4期19卷 1085-1096页

作者： Maqsood MARYAM Kian keong TE Fai Chu WONG Tsun Thai CHAI Gary K K LOW Seng Chiew GAN Hui Yee chee Department of Medical Microbiology and Parasitology Faculty of Medicine and Health SciencesUniversiti Putra MalaysiaSerdang 43400Malaysia Faculty of Natural Sciences SBK Women's University QuettaBalochistan 87300Pakistan Department of Chinese Medicine Faculty of Medicine and Health SciencesUniversiti Tunku Abdul RahmanSungai Long CampusKajang 43000Malaysia Department of Chemical Science Faculty of ScienceUniversiti Tunku Abdul Rahman(Kampar Campus)Kampar 31900Malaysia Department of Population Medicine Faculty of Medicine and Health SciencesUniversiti Tunku Abdul Rahman(Sungai Long Campus)Kajang 43000Malaysia Department of Pre-Clinical Sciences Faculty of Medicine and Health SciencesUniversiti Tunku Abdul Rahman(Sungai Long Campus)Kajang 43000Malaysia

Dengue virus(DENV) has emerged as a major virus that is spread by mosquitoes. Recently, it has spread to more than a hundred nations but continues to lack specific treatable medication. Many traditional Chinese medicinal(TCM) plants are in practice for dengue fever in dengue endemic regions. These traditional medicines persevere with treatments, which modern medicines lack. The study aims to substantiate the anti-dengue potential of some traditional herbs and make them available for further studies to facilitate TCM users. Twelve TCM plants aqueous extracts were evaluated, which are described as cool herbs used for the diseases with high fever. Lead plants were established through detailed in vitro foci forming unit reduction analysis(FFURA) against all four serotypes and validated through quantitative real-time RT-PCR(q RT-PCR). Four plants potentially inhibited the virus in primary phenotypic in vitro evaluation. Two lead plants Dryopteris crassirhizoma(DC) and Morus alba(MA) were identified with half minimal inhibitory concentration(IC50) 130 and 221 μg m L^-1, respectively, while the selectivity indices(SI) were 4.21 and 4.62, respectively. Lead plants equally inhibited all four serotypes of DENV. Time-of-addition analysis suggested that, DC was active at later stages of viral replication, whereas MA was active during the early stages and even showed some prophylactic activity. Liquid chromatography-mass spectrometry(HPLC/MS) analysis revealed presence of flavonoids. DC and MA are identified as potential anti-dengue plants, active against varied stages of dengue virus replication cycle. These results may serve as the base knowledge for further investigation on their combined treatments or integrative treatment with western medicines, which may improve the overall anti-dengue activity in future.

关键词： dengue virus traditional Chinese medicines TCM complementary medicines plant extracts anti-dengue

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Advances of macroalgae biomass for the third generation of bioethanol production

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Chinese Journal of Chemical Engineering 2020年第2期28卷 502-517页

作者： Inn Shi tan Man Kee Lam Henry chee Yew Foo Steven Lim Keat Teong Lee Department of Chemical Engineering Curtin UniversitySarawak Campus CDT 25098009 MiriSarawakMalaysia Chemical Engineering Department Universiti Teknologi PETRONAS32610 Seri IskandarPerakMalaysia Centre for Biofuel and Biochemical Research Institute of Self-Sustainable BuildingUniversiti Teknologi PETRONAS32610 Seri IskandarPerakMalaysia Department of Chemical Engineering Lee Kong Chian Faculty of Engineering and ScienceUniversiti Tunku Abdul Rahman43000SelangorMalaysia School of Chemical Engineering Universiti Sains MalaysiaEngineering CampusSeri Ampangan14300 Nibong TebalPulau PinangMalaysia

In recent years, utilization of renewable sources for biofuel production is gaining popularity due to growing greenhouse gas(GHG) emissions which causes global warming. There has been a great effort in exploring alternative feedstock for bioethanol production. In this context, the production of third-generation bioethanol from macroalgae has emerged as an alternative feedstock to food crop-based starch and lignocellulosic *** is mainly due to the fast growth rate of macroalgae, no competition with agricultural land, high carbohydrate content and relatively simple processing steps compared to lignocellulosic biomass. This review paper provides an insight of recent innovative approaches for macroalgae bioethanol production, including conventional and advanced hydrolysis process to produce fermentable sugar, various fermentation technologies, economic analysis and life cycle assessment. With the current technology maturity, efficient utilization of macroalgae as sustainable source for bioethanol and other value-added chemicals production could be achieved in the near future.

关键词： Macroalage Hydrolysis Biomass Fermentation Bioethanol

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Artificial intelligence(AI)and management analytics

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Journal of Management Analytics 2019年第4期6卷 341-343页

作者： Michael Haenlein Andreas Kaplan chee-Wee tan Pengzhu Zhang 不详

Artificial Intelligence(AI),defined as“a system’s ability to correctly interpret external data,to learn from such data and to use those learnings to achieve specific goals and tasks through flexible adaptation”(Kaplan&Haenlein,2019b,p.17),has attracted immense attention among academics,business managers,entrepreneurs,and politicians *** alleged by Huang and Rust(2018,p.155),AI,despite“constituting a major source of innovation”,is“threatening human jobs”.

关键词： const analytic intelligence

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A review of image processing and quantification analysis for solid oxide fuel cell

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Energy and AI 2024年第2期16卷 464-482页

作者： Kar Shen tan chee Kiang Lam Wee Choon tan Heap Sheng Ooi Zi Hao Lim Faculty of Electrical Engineering&Technology Universiti Malaysia PerlisPauh Putra CampusPauh02600PerlisMalaysia Faculty of Mechanical Engineering&Technology Universiti Malaysia PerlisPauh Putra CampusPauh02600PerlisMalaysia Faculty of Information Science&Technology Universiti Kebangsaan MalaysiaBangi43600SelangorMalaysia

The purpose of this study is to investigate the approaches applied to analyze solid oxide fuel cell (SOFC) microstructural properties. Both manual and automated image processing approaches applied on SOFC microstructural images which are obtained from several types of tomography such as dual-beam focused ion beam with scanning electron microscopy (FIB-SEM), Electron Backscatter Diffraction (EBSD) and others are discussed. In fact, to achieve a realistic and accurate SOFC microstructural properties, such as average diameter, volume fraction, triple phase boundary (TPB), area interface density and tortuosity factor, the approaches of image processing and quantification are crucial for a reliable image generation for quantification purposes. The microstructural properties are optimized to improve SOFC electrode performance. Therefore, the image processing and quantification approaches are outlined and reviewed. Despite the automated image processing and quantification algorithms significantly outperform manual image processing and quantification approaches in terms of computing speed when evaluating and measuring microstructural properties, the efficiency and productivity are still extremely taken into concern. As a result, image processing and quantification approaches are concluded and presented respectively in this paper.

关键词： Digital image processing Deep learning Triple phase boundary Solid oxide fuel cell Microstructure

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Natural language processing(NLP)in management research:A literature review

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Journal of Management Analytics 2020年第2期7卷 139-172页

作者： Yue Kang Zhao Cai chee-Wee tan Qian Huang Hefu Liu School of Management University of Science and Technology of ChinaHefeiPeople’s Republic of China Nottingham University Business School China University of Nottingham Ningbo ChinaNingboPeople’s Republic of China cDepartment of Digitalization Copenhagen Business SchoolCopenhagenDenmark

Natural language processing(NLP)is gaining momentum in management research for its ability to automatically analyze and comprehend human ***,despite its extensive application in management research,there is neither a comprehensive review of extant literature on such applications,nor is there a detailed walkthrough on how it can be employed as an analytical *** this end,we review articles in the UT Dallas List of 24 Leading Business Journals that employ NLP as their focal analytical technique to elucidate how textual data can be harnessed for advancing management theories across multiple *** describe the available toolkits and procedural steps for employing NLP as an analytical technique as well as its advantages and *** so doing,we highlight the managerial and technological challenges associated with the application of NLP in management research in order to guide future inquires.

关键词： natural language processing literature review sentiment analysis machine learning

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