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Outlier Behavior Detection for Indoor Environment Based on t-SNE Clustering

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Computers, Materials & Continua 2021年第9期68卷 3725-3736页

作者： Shinjin Kang Soo Kyun Kim school of games Hongik UniversitySejong30016Korea Department of Computer Engineering Jeju National UniversityJeju63243Korea

In this study,we propose a low-cost system that can detect the space outlier utilization of residents in an indoor *** focus on the users’app usage to analyze unusual behavior,especially in indoor *** is reflected in the behavioral analysis in that the frequency of using smartphones in personal spaces has recently *** system facilitates autonomous data collection from mobile app logs and Google app servers and generates a high-dimensional dataset that can detect outlier *** density-based spatial clustering of applications with noise(DBSCAN)algorithm was applied for effective singular movement *** analyze high-level mobile phone usage,the t-distributed stochastic neighbor embedding(t-SNE)algorithm was *** two clustering algorithms can effectively detect outlier behaviors in terms of movement and app usage in indoor *** experimental results showed that our system enables effective spatial behavioral analysis at a low cost when applied to logs collected in actual living ***,large volumes of data required for outlier detection can be easily *** system can automatically detect the unusual behavior of a user in an indoor *** particular,this study aims to reflect the recent trend of the increasing use of smartphones in indoor spaces to the behavioral analysis.

关键词： Outlier detection trajectory clustering behavior analysis app data smartphone

The Generic Uniqueness and Well-Posedness of NashEquilibria for Stable Population games

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Journal of the Operations Research Society of China 2021年第2期9卷 455-464页

作者： Wen-Sheng Jia Xiao-Ling Qiu Ding-Tao Peng school of Mathematics and Statistics Guizhou UniversityGuiyang 550025China Key Laboratory of games Decision Making and Control Systems Guiyang 550025China

This paper aims at studying a new kind of stable population games introduced by *** and *** in *** first construct a complete distance space M consisting of stable population games and show that most of stable population games have unique Nash equilibrium point that according to Baire’s category *** implies that every stable population game that possesses more than one Nash equilibrium can be approached arbitrarily by a sequence of the stable population game each of which has a unique Nash ***,we construct a bounded rationality function and deduce some results on the generic well-posedness implying Tikhonov well-posedness and Hadamard well-posedness for stable population games.

关键词： Stable population games Generic uniqueness Generic well-posedness Bounded rationality

The Stability of Imitation Dynamics with Continuously Distributed Delays

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Journal of Systems Science & Complexity 2023年第5期36卷 2067-2081页

作者： FANG Caiya YANG Hui PI Jinxiu WU Wenjun school of Mathematics and Statistics Guizhou UniversityGuizhou 550025China Guizhou Provincial Key Laboratory for games Decision Making and Control SystemsGuiyang 550025China

This paper investigates imitation dynamics with continuously distributed *** realistic technological,economic,and social environments,individuals are involved in strategic interactions simultaneously while the influences of their decision-making may not be observable *** shows that there exists a time delay *** distributions of delay are further considered to efficiently lucubrate the stability of interior equilibrium in the imitation dynamics with continuous distributions of delay in the two-strategy game ***,when the delay follows the uniform distributions and Gamma distributions,the authors present that interior equilibrium can be asymptotically ***,when the probability density of the delay is general density,the authors also determine a sufficient condition for stability derived from the expected *** but not least,the interested but uncomplicated Snowdrift game is utilized to demonstrate our theoretical results.

关键词： Continuous distributed delay evolutionary games imitation dynamics stability

User Interface-Based Repeated Sequence Detection Method for Authentication

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Intelligent Automation & Soft Computing 2023年第3期35卷 2573-2588页

作者： Shin Jin Kang Soo Kyun Kim school of games Hongik UniversitySejong30016Korea Department of Computer Engineering Jeju National UniversityJeju63243Korea

In this paper,we propose an authentication method that use mouse and keystroke dynamics to enhance online privacy and *** proposed method identiﬁes personalized repeated user interface(UI)sequences by analyzing mouse and keyboard *** this end,an Apriori algorithm based on the keystroke-level model(KLM)of the human–computer interface domain was *** proposed system can detect repeated UI sequences based on KLM for authentication in the *** effectiveness of the proposed method is veriﬁed through access test-ing using commercial applications that require intensive UI *** results show using our cognitive mouse-and-keystroke dynamics system can com-plement authentication at the application level.

关键词： Authentication keystroke-level model(KLM) keystroke mouse dynamics

Image Translation Method for Game Character Sprite Drawing

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Computer Modeling in Engineering & Sciences 2022年第5期131卷 747-762页

作者： Jong-In Choi Soo-Kyun Kim Shin-Jin Kang Department of Digital Media Seoul Women’s UniversitySeoul01797Korea Computer Engineering Jeju National UniversityJeju63243Korea school of games Hongik UniversitySejong30016Korea

Two-dimensional(2D)character animation is one of the most important visual elements on which users’interest is focused in the game ***,2D character animation works in the game field are mostly performed manually in two dimensions,thus generating high production *** study proposes a generative adversarial network based production tool that can easily and quickly generate the sprite images of 2D ***,we proposed a methodology to create a synthetic dataset for training using images from the real world in the game resource production field where machine learning datasets are *** addition,we have enabled effective sprite generation while minimizing user input in the process of using the *** this end,we proposed a mixed input method with a small number of segmentations and skeletal bone *** proposed image-to-image translation network effectively generated sprite images from the user input images using the skeletal *** conducted an experiment regarding the number of images required and showed that 2D sprite resources can be generated even with a small number of segmentation inputs and one skeletal bone drawing.

关键词： Sprite generation body segmentation pose estimation generative adversarial network deep learning

3D Face Reconstruction from a Single Image Using a Combined PCA-LPP Method

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Computers, Materials & Continua 2023年第3期74卷 6213-6227页

作者： Jee-Sic Hur Hyeong-Geun Lee Shinjin Kang Yeo Chan Yoon Soo Kyun Kim Department of Computer Engineering Jeju National UniversityJeju63243Korea school of games Hongik UniversitySejong30016Korea Department of Artificial Intelligence Jeju National UniversityJeju63243Korea

In this paper, we proposed a combined PCA-LPP algorithm toimprove 3D face reconstruction performance. Principal component analysis(PCA) is commonly used to compress images and extract features. Onedisadvantage of PCA is local feature loss. To address this, various studies haveproposed combining a PCA-LPP-based algorithm with a locality preservingprojection (LPP). However, the existing PCA-LPP method is unsuitable for3D face reconstruction because it focuses on data classification and *** the existing PCA-LPP, the adjacency graph, which primarily shows the connectionrelationships between data, is composed of the e-or k-nearest neighbortechniques. By contrast, in this study, complex and detailed parts, such aswrinkles around the eyes and mouth, can be reconstructed by composing thetopology of the 3D face model as an adjacency graph and extracting localfeatures from the connection relationship between the 3D model *** verified the effectiveness of the proposed method. When theproposed method was applied to the 3D face reconstruction evaluation set,a performance improvement of 10% to 20% was observed compared with theexisting PCA-based method.

关键词： Principal component analysis locality preserving project 3DMM face reconstruction face modeling

A Scheme of Anomalous Detection Based on Reinforcement Learning for Load Balancing

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A Scheme of Anomalous Detection Based on Reinforcement Learn...

Deep Energies for Estimating Three-Dimensional Facial Pose and Expression

作者： Hye-Young Kim school of games Hongik University

In recent,both researchers and developers have great interests in anomalous ***,it is still difficult to implement a uniform framework for anomalous ***,the network anomalous detection using deep learning methods has been discussed with potential limitations and *** anomalous detection in wireless or wired network is extremely important because it is caused by flood traffic of network and *** of malicious network loads are defined,while anomalous detections is more suitable for detecting normal and anomalous network loads by means of deep *** important goal of these issues is to recognize the anomalous detections for better preparation against future load balancing of *** this paper,we propose an agent Detectbot that processes anomalous detection for load balancing based on reinforcement *** simulation results show that the reinforcement learning scheme is effective for anomalous detection in load balancing.

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Communications on Applied Mathematics and Computation 2024年第2期6卷 837-861页

作者： Jane Wu Michael Bao Xinwei Yao Ronald Fedkiw Department of Computer Science Stanford University353 Jane Stanford WayStanfordCA 94305USA Epic games 620 Crossroads BlvdCaryNC 27518USA

While much progress has been made in capturing high-quality facial performances using motion capture markers and shape-from-shading,high-end systems typically also rely on rotoscope curves hand-drawn on the *** curves are subjective and difficult to draw consistently;moreover,ad-hoc procedural methods are required for generating matching rotoscope curves on synthetic renders embedded in the optimization used to determine three-dimensional(3D)facial pose and *** propose an alternative approach whereby these curves and other keypoints are detected automatically on both the image and the synthetic renders using trained neural networks,eliminating artist subjectivity,and the ad-hoc procedures meant to mimic *** generally,we propose using machine learning networks to implicitly define deep energies which when minimized using classical optimization techniques lead to 3D facial pose and expression estimation.

关键词： Numerical optimization Neural networks Motion capture Face tracking

DNBP-CCA:A Novel Approach to Enhancing Heterogeneous Data Traffic and Reliable Data Transmission for Body Area Network

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Computers, Materials & Continua 2024年第5期79卷 2851-2878页

作者： Abdulwadood Alawadhi Mohd.Hasbullah Omar Abdullah Almogahed Noradila Nordin Salman A.Alqahtani Atif M.Alamri InterNetWorks Research Laboratory School of ComputingUniversiti Utara MalaysiaSintok06010Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn MalaysiaParit RajaJohor86400Malaysia school of games&Creative Technology University for the Creative ArtsFarnhamGU97DSUK Computer Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia

The increased adoption of Internet of Medical Things (IoMT) technologies has resulted in the widespread use ofBody Area Networks (BANs) in medical and non-medical domains. However, the performance of IEEE 802.15.4-based BANs is impacted by challenges related to heterogeneous data traffic requirements among nodes, includingcontention during finite backoff periods, association delays, and traffic channel access through clear channelassessment (CCA) algorithms. These challenges lead to increased packet collisions, queuing delays, retransmissions,and the neglect of critical traffic, thereby hindering performance indicators such as throughput, packet deliveryratio, packet drop rate, and packet delay. Therefore, we propose Dynamic Next Backoff Period and Clear ChannelAssessment (DNBP-CCA) schemes to address these issues. The DNBP-CCA schemes leverage a combination ofthe Dynamic Next Backoff Period (DNBP) scheme and the Dynamic Next Clear Channel Assessment (DNCCA)scheme. The DNBP scheme employs a fuzzy Takagi, Sugeno, and Kang (TSK) model’s inference system toquantitatively analyze backoff exponent, channel clearance, collision ratio, and data rate as input parameters. Onthe other hand, the DNCCA scheme dynamically adapts the CCA process based on requested data transmission tothe coordinator, considering input parameters such as buffer status ratio and acknowledgement ratio. As a result,simulations demonstrate that our proposed schemes are better than some existing representative approaches andenhance data transmission, reduce node collisions, improve average throughput, and packet delivery ratio, anddecrease average packet drop rate and packet delay.

关键词： Internet of Medical Things body area networks backoff period tsk fuzzy model clear channel assessment media access control