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A Framework for Enhancing Privacy and Anonymity in Blockchain-Enabled IoT Devices

Computers, Materials & Continua 2024年第3期78卷 4263-4282页

作者： Muhammad Saad Muhammad Raheel Bhutta Jongik Kim tae-sun chung Department of Artificial Intelligence Ajou UniversitySuwon443-749Korea Department of Electrical and Computer Engineering University of Utah Asia CampusIncheon21985Korea Department of Artificial Intelligence Chungnam National UniversityDaejeon34134Korea

With the increase in IoT(Internet of Things)devices comes an inherent challenge of *** the world today,privacy is the prime concern of every *** one’s privacy and keeping anonymity throughout the system is a desired functionality that does not come without inevitable trade-offs like scalability and increased complexity and is always exceedingly difficult to *** challenge is keeping confidentiality and continuing to make the person innominate throughout the *** address this,we present our proposed architecture where we manage IoT devices using blockchain *** proposed architecture works on and off blockchain integrated with the closed-circuit television(CCTV)security camera fixed at the rental *** this framework,the CCTV security camera feed is redirected towards the owner and renter based on the smart contract *** entity(owner or renter)can see the CCTV security camera feed at one *** is no third-party dependence except for the CCTV security camera deployment *** contributions include the proposition of framework architecture,a novel smart contract algorithm,and the modification to the ring signatures leveraging an existing cryptographic *** are made based on different systems’security and key management *** an empirical study,our proposed algorithm performed better in key generation,proof generation,and verification *** comparing similar existing schemes,we have shown the proposed architectures’*** now,we have developed this system for a specific area in the real ***,this system is scalable and applicable to other areas like healthcare monitoring systems,which is part of our future work.

关键词： Privacy anonymity blockchain IoT smart contracts

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SwCS: Section-Wise Content Similarity Approach to Exploit Scientific Big Data

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Computers, Materials & Continua 2021年第4期67卷 877-894页

作者： Kashif Irshad Muhammad Tanvir Afzal Sanam Shahla Rizvi Abdul Shahid Rabia Riaz tae-sun chung Department of Computer Science Capital University of Science and TechnologyIslamabadPakistan Department of Computer Science NAMAL InstituteMianwali42250Pakistan Raptor Interactive(Pty)Ltd. Eco BoulevardWitch Hazel AveCenturion0157South Africa Institute of Computing Kohat University of Science and TechnologyPakistan Department of CS&IT University of Azad Jammu and KashmirMuzaffarabad13100Pakistan Department of Artificial Intelligence Ajou UniversityKorea

The growing collection of scientific data in various web repositories is referred to as Scientific Big Data,as it fulfills the four“V’s”of Big Data—volume,variety,velocity,and *** phenomenon has created new opportunities for startups;for instance,the extraction of pertinent research papers from enormous knowledge repositories using certain innovative methods has become an important task for researchers and ***,the content of the papers are compared to list the relevant papers from a *** conventional method results in a long list of papers that is often impossible to interpret ***,the need for a novel approach that intelligently utilizes the available data is ***,the primary element of the scientific knowledge base is a research article,which consists of various logical sections such as the Abstract,Introduction,Related Work,Methodology,Results,and ***,this study utilizes these logical sections of research articles,because they hold significant potential in finding relevant *** this study,comprehensive experiments were performed to determine the role of the logical sections-based terms indexing method in improving the quality of results(i.e.,retrieving relevant papers).Therefore,we proposed,implemented,and evaluated the logical sections-based content comparisons method to address the research objective with a standard method of indexing *** section-based approach outperformed the standard content-based approach in identifying relevant documents from all classified topics of computer ***,the proposed approach extracted 14%more relevant results from the entire *** the experimental results suggested that employing a finer content similarity technique improved the quality of results,the proposed approach has led the foundation of knowledge-based startups.

关键词： Scientific big data ACM classification term indexing content similarity cosine similarity

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3D Head Pose Estimation through Facial Features and Deep Convolutional Neural Networks

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Computers, Materials & Continua 2021年第2期66卷 1757-1770页

作者： Khalil Khan Jehad Ali Kashif Ahmad Asma Gul Ghulam Sarwar Sahib Khan Qui Thanh Hoai Ta tae-sun chung Muhammad Attique Department of Computer Science and Software Engineering Pak-Austria Fachhochschule:Institute of Applied Sciences and TechnologyHaripur-KPKPakistan Department of Computer Engineering and Department of AI Convergence Network Ajou UniversitySuwon16499South Korea Hamad Bin Khalifa University DohaQatar Department of Statistics Shaheed Benazir Bhutto Women UniversityPeshawarPakistan Department of Software Engineering University of Azad Jammu and KashmirPakistan Department of Electronics and Telecommunications Politecnico di TorinoTorino10129Italy Institute of Research and Development Duy Tan UniversityDanang550000Vietnam Department of Computer Engineering Ajou UniversitySuwon16499Korea Department of Software Sejong UniversitySeoul05006South Korea

Face image analysis is one among several important cues in computer *** the last five decades,methods for face analysis have received immense attention due to large scale applications in various face analysis *** parsing strongly benefits various human face image analysis tasks inducing face pose *** this paper we propose a 3D head pose estimation framework developed through a prior end to end deep face parsing *** have developed an end to end face parts segmentation framework through deep convolutional neural networks(DCNNs).For training a deep face parts parsing model,we label face images for seven different classes,including eyes,brows,nose,hair,mouth,skin,and *** extract features from gray scale images by using *** train a classifier using the extracted *** use the probabilistic classification method to produce gray scale images in the form of probability maps for each dense semantic *** use a next stage of DCNNs and extract features from grayscale images created as probability maps during the segmentation *** assess the performance of our newly proposed model on four standard head pose datasets,including Pointing’04,Annotated Facial Landmarks in the Wild(AFLW),Boston University(BU),and ICT-3DHP,obtaining superior results as compared to previous results.

关键词： Face image analysis face parsing face pose estimation

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Improved Real-time Implementation of Adaptive Gassian Mixture Model-based Object Detection Algorithm for Fixed-point DSP Processors

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Journal of Measurement Science and Instrumentation 2010年第2期1卷 116-120页

作者： Byung-eun LEE Thanh-binh NGUYEN sun-tae chung School of Electronics Engineering University of SoongsilSeoul 156-743Korea

Foreground moving object detection is an important process in various computer vision applications such as intelligent visual surveillance, HCI, object-based video compression, etc. One of the most successful moving object detection algorithms is based on Adaptive Gaussian Mixture Model （AGMM）. Although ACMM-hased object detection shows very good performance with respect to object detection accuracy, AGMM is very complex model requiring lots of floatingpoint arithmetic so that it should pay for expensive computational cost. Thus, direct implementation of the AGMM-based object detection for embedded DSPs without floating-point arithmetic HW support cannot satisfy the real-time processing requirement. This paper presents a novel rcal-time implementation of adaptive Gaussian mixture model-based moving object detection algorithm for fixed-point DSPs. In the proposed implementation, in addition to changes of data types into fixed-point ones, magnification of the Gaussian distribution technique is introduced so that the integer and fixed-point arithmetic can be easily and consistently utilized instead of real nmnher and floatingpoint arithmetic in processing of AGMM algorithm. Experimental results shows that the proposed implementation have a high potential in real-time applications.

关键词： background modeling real-time computing object de-tection

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An Efficient Charging and Billing Architecture for 4G Mobile Network:Through Intelligent Network Concepts

An Efficient Charging and Billing Architecture for 4G Mobile...

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2010 Second International Conference on Communication Systems, Networks and Applications (ICCSNA 2010)

作者： A.B.M.Rezbaul Islam tae-sun chung Information and computer Engineering Ajou University

The fourth generation mobile network opens a challenge on existing charging and billing *** main reason of that is using heterogeneous *** present charging and billing system only supports interoperability of service providers of same *** 4G Network,users will use various services,offered by service providers from different ***,it is necessary to design such a billing system that will allow integration of different services providers from different *** this paper a billing architecture,supporting multi service provider merging is proposed by means of intelligent network concepts.

关键词： Fourth Generation Mobile network Intelligent Network SIB Billing and Charging.

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Self-adhesive pads in defi brillation or cardioversion: risks due to unfamiliarity and recommendations

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World Journal of Emergency Medicine 2024年第1期15卷 64-66页

作者： Hansol chung Department of Emergency Medicine Yeungnam University College of MedicineDaegu 42415Republic of Korea

During cardiopulmonary resuscitation(CPR),defibrillation,or cardioversion,the use of self-adhesive pads instead of conventional paddles has gradually become *** particular,it was recommended during the COVID-19 pandemic,as it allows defibrillation or cardioversion to be performed without close contact between the rescuer and patient.[1,2]Self-adhesive pads can minimize the downtime of chest compressions before and after defibrillation and protect the patient from electric arc formation,skin burns,and fi *** the pads are attached,electrocardiographic rhythm analysis,defibrillation,synchronous cardioversion,and cardiovascular support are all *** paddles,self-adhesive pads can save time because the application of conductive jelly,repeated positioning,and application of 10-12 kg of pressure on the chest are not *** European Resuscitation Council(ERC)Guidelines 2021 state that the use of self-adhesive pads is recommended in advanced cardiovascular life support(ACLS).[3]Nevertheless,some medical staff still tend to prefer the use of conventional paddles instead of self-adhesive pads in hospitals.

关键词： attached cardio conductive

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Engineering behaviour of in situ cored deep cement mixed marine deposits subjected to undrained and drained shearing

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第5期16卷 1749-1760页

作者： Wei Li chung Yee Kwok Faculty of Engineering China University of GeosciencesWuhan430074China Department of Civil Engineering The University of Hong Kong999000Hong Kong SARChina

The deep cement mixing(DCM)is used to improve the capacity and reduce the settlement of the soft ground by forming cemented clay *** investigation on the mechanical behaviour of the DCM samples is limited to either laboratory-prepared samples or in-situ samples under unconfined *** this study,a series of drained and undrained triaxial shearing tests was performed on the in-situ cored DCM samples with high cement content to assess their mechanical *** is found that the drainage condition affects significantly the stiffness,peak and residual strengths of the DCM samples,which is mainly due to the state of excess pore water pressure at different strain levels,*** positive before the peak deviatoric stress and negative after the peak deviatoric stress,in the undrained *** slope of the failure envelope changes obviously with the confining pressures,being steeper at lower stress levels and flatter at higher stress *** strength parameters,effective cohesion and friction angle obtained from lower stress levels(c′0 andφ′0)are 400 kPa and 58°,respectively,which are deemed to be true for design in most DCM applications where the in-situ stress levels are normally at lower values of 50-200 ***,the computed tomography(CT)scanning system was adopted to visualize the internal structures of DCM *** is found that the clay pockets existing inside the DCM samples due to uneven mixing affect markedly their stress-strain behaviour,which is one of the main reasons for the high variability of the DCM samples.

关键词： Deep cement mixing(DCM) In-situ cored sample Triaxial shearing Drainage condition Confining pressure Computed tomography(CT)

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Feature deformation network with multi-range feature enhancement for agricultural machinery operation mode identification

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International Journal of Agricultural and Biological Engineering 2024年第4期17卷 265-275页

作者： Weixin Zhai Zhi Xu Jinming Liu Xiya Xiong Jiawen Pan sun-Ok chung Dionysis Bochtis Caicong Wu College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Key Laboratory of Agricultural Machinery Monitoring and Big Data Application Ministry of Agriculture and Rural AffairsBeijing 100083China Department of Smart Agricultural Systems Graduate SchoolChungnam National UniversityDaejeon 34134Republic of Korea Institute for Bio-Economy and Agri-Technology(iBO) Centre for Research and Technology-Hellas(CERTH)Thessaloniki 57001Greece

Utilizing the spatiotemporal features contained in extensive trajectory data for identifying operation modes of agricultural machinery is an important basis task for subsequent agricultural machinery trajectory *** the present study,to effectively identify agricultural machinery operation mode,a feature deformation network with multi-range feature enhancement was ***,a multi-range feature enhancement module was developed to fully explore the feature distribution of agricultural machinery trajectory ***,to further enrich the representation of trajectories,a feature deformation module was proposed that can map trajectory points to high-dimensional space to form feature ***,EfficientNet-B0 was used to extract features of different scales and depths from the feature map,select features highly relevant to the results,and finally accurately predict the mode of each trajectory *** validate the effectiveness of the proposed method,experiments were conducted to compare the results with those of other methods on a dataset of real agricultural *** the corn and wheat harvester trajectory datasets,the model achieved accuracies of 96.88%and 96.68%,as well as F1 scores of 93.54%and 94.19%,exhibiting improvements of 8.35%and 9.08%in accuracy and 20.99%and 20.04%in F1 score compared with the current state-of-the-art method.

关键词： road-field trajectory classification efficientNet feature deformation network multi-range feature enhancement agricultural machinery operation mode recognition

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Ensemble Wind Power Prediction Interval with Optimal Reserve Requirement

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Journal of Modern Power Systems and Clean Energy 2024年第1期12卷 65-76页

作者： Hamid Rezaie Cheuk Hei chung Nima Safari the Saskatchewan Power Corporation(SaskPower) ReginaSaskatchewanCanada the Department of Electrical and Computer Engineering and Department of Human Biology University of TorontoTorontoON M5S 3G4Canada the Alberta Electric System Operator(AESO) CalgaryAlbertaCanada

Wind power prediction interval(WPPI)models in the literature have predominantly been developed for and tested on specific case ***,wind behavior and characteristics can vary significantly across ***,a prediction model that performs well in one case might underperform in *** address this shortcoming,this paper proposes an ensemble WPPI framework that integrates multiple WPPI models with distinct characteristics to improve *** important and often overlooked factor is the role of probabilistic wind power prediction(WPP)in quantifying wind power uncertainty,which should be handled by operating *** reserve in WPPI frameworks enhances the efficacy of *** this regard,the proposed framework employs a novel bi-layer optimization approach that takes both WPPI quality and reserve requirements into *** analysis with different real-world datasets and various benchmark models validates the quality of the obtained WPPIs while resulting in more optimal reserve requirements.

关键词： Ensemble model linear programming operating reserve optimal reserve requirement prediction interval probabilistic prediction renewable integration uncertainty representation wind power prediction(WPP)

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Astrocytic endothelin-1 overexpression impairs learning and memory ability in ischemic stroke via altered hippocampal neurogenesis and lipid metabolism

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Neural Regeneration Research 2024年第3期19卷 650-656页

作者： Jie Li Wen Jiang Yuefang Cai Zhenqiu Ning Yingying Zhou Chengyi Wang Sookja Ki chung Yan Huang Jingbo sun Minzhen Deng Lihua Zhou Xiao Cheng Guangzhou University of Traditional Chinese Medicine GuangzhouGuangdong ProvinceChina State Key Laboratory of Dampness Syndrome of Chinese Medicine The Second Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouGuangdong ProvinceChina Guangdong Provincial Key Laboratory of Research on Emergency in TCM GuangzhouGuangdong ProvinceChina Department of Anesthesiology West China HospitalSichuan UniversityChengduSichuan ProvinceChina Department of Anatomy Sun Yat-Sen School of MedicineSun Yat-Sen UniversityShenzhenGuangdong ProvinceChina Faculty of Medicine Macao University of Science and TechnologyMacao Special Administration RegionChina

Vascular etiology is the second most prevalent cause of cognitive impairment ***-1,which is produced and secreted by endothelial cells and astrocytes,is implicated in the pathogenesis of ***,the way in which changes in astrocytic endothelin-1 lead to poststroke cognitive deficits following transient middle cerebral artery occlusion is not well ***,using mice in which astrocytic endothelin-1 was overexpressed,we found that the selective overexpression of endothelin-1 by astrocytic cells led to ischemic stroke-related dementia(1 hour of ischemia;7 days,28 days,or 3 months of reperfusion).We also revealed that astrocytic endothelin-1 overexpression contributed to the role of neural stem cell proliferation but impaired neurogenesis in the dentate gyrus of the hippocampus after middle cerebral artery *** proteome profiles and western blot analysis confirmed that levels of glial fibrillary acidic protein and peroxiredoxin 6,which were differentially expressed in the brain,were significantly increased in mice with astrocytic endothelin-1 overexpression in comparison with wild-type mice 28 days after ischemic ***,the levels of the enriched differentially expressed proteins were closely related to lipid metabolism,as indicated by Kyoto Encyclopedia of Genes and Genomes pathway *** chromatography-mass spectrometry nontargeted metabolite profiling of brain tissues showed that astrocytic endothelin-1 overexpression altered lipid metabolism products such as glycerol phosphatidylcholine,sphingomyelin,and phosphatidic ***,this study demonstrates that astrocytic endothelin-1 overexpression can impair hippocampal neurogenesis and that it is correlated with lipid metabolism in poststroke cognitive dysfunction.

关键词： astrocytic endothelin-1 dentate gyrus differentially expressed proteins hippocampus ischemic stroke learning and memory deficits lipid metabolism neural stem cells neurogenesis proliferation

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