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Mesh Deformation Scheme for High Quality 3D Model Reconstruction

Mesh Deformation Scheme for High Quality 3D Model Reconstruc...

引用

Metaverse computing, Networking and Applications (MetaCom), IEEE international conference on

作者： Jung Suk Park Bong-Seok Seo Dong Ho Kim IT Media Engineering Seoul National University of Science and Technology Seoul Korea Information Technology and Media Engineering Seoul National University of Science and Technology Seoul Korea Department of Smart ICT Convergence Engineering Seoul National University of Science and Technology Seoul Korea

This paper proposes a new mesh deformation scheme in a 3D reconstruction in which the performance deteriorates when an object of an unlearned category is input in a 3D model generation network. The proposed method uses a new loss function to generate appropriate 3D reconstruction outputs even for inputs of unlearned categories of 3D models. We compare the performance with the existing method so as to prove the validity of this method. The simulation results show that the proposed loss function improves the generalization ability of the 3D reconstruction with good performance even for inputs of unlearned categories.

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Research on Interactive Data Visualization technology Based on Augmented Reality

Research on Interactive Data Visualization Technology Based ...

引用

Intelligent computing, Communication & convergence (ICI3C), international conference on

作者： Yutong Chen Diansheng Yang Northeast Electric Power University China Guangzhou Saite Intelligent Technology Co. Ltd China

ISBN: (数字)9798350343922

ISBN: (纸本)9798350343939

This study aims to explore interactive data visualization technology based on augmented reality (AR). By comprehensively analyzing the current development of AR technology and the needs of data visualization, this paper proposes a new interactive data visualization framework. First, the basic principles of augmented reality technology and its application potential in data visualization are introduced. Subsequently, the design principles, implementation methods, and comparisons with traditional data visualization techniques of the framework are described in detail. Through a series of experiments, the effectiveness of this framework in improving data presentation and enhancing user interaction experience was verified. Experimental results show that this technology can significantly improve the understandability and interactivity of data. Finally, the application prospects of this technology in different fields, such as education, business analysis, etc., and its future development directions are discussed. This research provides a new perspective and practical guidance for the application of AR technology in the field of interactive data visualization.

关键词： Training Visualization Heuristic algorithms Scalability Refining Data visualization Data models User experience Reliability Augmented reality

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Online MOACO biclustering of microarray data

Online MOACO biclustering of microarray data

引用

IEEE international conference on Granular computing (GRC)

作者： Junwan Liu Zhoujun Li Xiaohua Hu Yiming Chen School of Computer Information Engineering Central South University of Forestry and Technology China State Key Laboratory of Software Development Environment Beijing China College of Information Science and Technology Drexel University USA School of Information Science and Technology Hunan Agricultural University China

Multi-objective optimization (MOP) a fast growing area of research. Bioinformatics data sets come mostly from DNA microarray experiments. The analysis of microarray data sets can provide valuable information on the biological relevance of genes and correlations among them. Biclustering methods allow us to identify genes with similar behavior with respect to different conditions. A single bicluster represents a given subset of genes in a given subset of conditions. For solving multiple objectives optimization, ant colony optimization algorithms have been shown to be very effective for MOP. This paper proposes online Multiple Objective Ant Colony Optimization biclustering algorithm to solve patterns mining problem of microarray dataset. During optimization, the size of ant population is dynamically changed to quicken the convergence of the algorithm. Experimental analysis on two real dataset shows that the proposed algorithm achieves good performance in the diversity of solution and the time complexity of the algorithm.

关键词： Heuristic algorithms Optimization Algorithm design and analysis Humans Gene expression convergence Bioinformatics

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Decision Support System for Fetal Delivery Using Soft computing Techniques

Decision Support System for Fetal Delivery Using Soft Comput...

引用

international conference on Computer Sciences and convergence Information technology (ICCIT)

作者： R.R. Janghel Anupam Shukla Ritu Tiwari ICT Department ABV Indian Institute of Information Technology and Management Gwalior India

ISBN: (纸本)9781424452446

In the present work an attempt is made to develop a decision support system (DSS) using the pathological attributes to predict the fetal delivery to be done normal or by surgical procedure. The pathological tests like blood sugar (BR), blood pressure (BP), resistivity index (RI) and systolic/diastolic (S/P) ratio will be recorded at the time of delivery. All attributes lie within a specific range for normal patient. The database consists of the attributes for cases i.e. normal and surgical delivery. Soft computing technique namely artificial neural networks (ANN) are used for simulator. The attributes from dataset are used for training & testing of ANN models. Three models of ANN are trained using back-propagation algorithm (BPA), radial basis function network (RBFN) and one hybrid approach is adaptive neuro-fuzzy inference system (ANFIS). The designing factors have been changed to get the optimized model, which gives highest recognition score. The optimized models of BPA, RBFN and ANFIS gave accuracies of 93.75, 99.00 and 99.50 % respectively. Thus ANFIS is the best network for mentioned problem. This system will assist doctor to take decision at the critical time of fetal delivery.

关键词： Decision support systems Artificial neural networks Pathology Surgery Testing Blood pressure Conductivity Databases Computer networks Computational modeling

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Detection of Malware in Cloud Environment using Deep Neural Network

Detection of Malware in Cloud Environment using Deep Neural ...

引用

international conference for convergence of technology (I2CT)

作者： Prajna Kotian Reena Sonkusare Electronics and Telecommunication Engineering Sardar Patel Institute of Technology Mumbai India

ISBN: (纸本)9781728188768;9781728188775

There is a tremendous demand for Cloud computing in organizations, educational institutions, etc. Cloud Services reduce the cost of setting up an office space. The users are only required to have a laptop. The maintenance of applications, servers, and storage are all taken care of by the Cloud Service Provider. As cloud services are gaining popularity, the volume of malware attacks on cloud services has doubled in 2019, according to the 2020 TrustWave Global Security Report. When the user clicks on the link or attachments, malware gets executed in the cloud environment. These provide a source for cybercriminals to gain unauthorized access to the machines. These, in turn, makes the system run very slow, thus consuming the CPU, memory, and network bandwidth of the machine. Thus, the dataset is split into CPU, memory, and network parameters and fed as an input to Deep Learning models. CNN is used for deep learning. This method helps in obtaining an accuracy of more than 95% using the 2D CNN model. The novelty of this paper is that Standardization and hyper-parameter tuning is used to improve the detection accuracy. SMOTE (Synthetic Minority Oversampling Technique) algorithm is used to reduce the imbalance in the dataset and thus obtain a better confusion matrix.

关键词： Deep learning Cloud computing Portable computers Standards organizations Standardization Filtering algorithms Malware

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A New Fuzzy Inertia Weight Particle Swarm Optimization

A New Fuzzy Inertia Weight Particle Swarm Optimization

引用

2009 international conference on Computational Intelligence and Natural computing(CINC 2009)

作者： P.Yadmellat S.M.A.Salehizadeh M.B.Menhaj Department of Electrical Engineering Amirkabir University of Technology

This paper proposes a new Fuzzy tuned Inertia weight Particle Swarm Optimization (FIPSO) which remarkably outperforms the standard PSO, previous fuzzy as well as adaptive based PSO methods. Two benchmark functions with asymmetric initial range settings are used to validate the proposed algorithm and compare its performance with those of the other tuned parameter PSO algorithms. Numerical results indicate that FIPSO is competitive due to its ability to increase search space diversity as well as finding the functions’ global optima and a better convergence performance.

关键词： Swarm Fuzzy A New Fuzzy Inertia Weight Particle Swarm Optimization

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Next generation mobile network concepts, technology and sample applications

Next generation mobile network concepts, technology and samp...

引用

international conference on Wireless Communication and Sensor computing (ICWCSC)

作者： Anant Mahajan Shirley Soans Accenture Services Private Limited USA

ISBN: (纸本)9781424451364;9781424451371

Telecommunications and technology are merging. convergence is blurring the distinction between wire line voice, cellular, cable and data networks. Next-generation mobile networks (NGMN) involve the concept that the next generation of wireless communications will be able to deliver voice calls, video streams, website visits, data services and more through the same device on a transparent network. Flexible and powerful Service platforms, so called Service Delivery Platforms (SDP) are in charge to support the efficient design, creation, deployment and management of seamless high value services in a NGMN. This paper presents the important trends, characteristics and services in a NGMN. Our vision for a NGMN architecture has been discussed. The paper also gives an insight on the impact a NGMN may have on current SDPs and reveals key drivers for a next generation SDP. We propose an innovative next generation SDP architecture, which is transparent and standards based, that enables the delivery of converged next generation services. The paper gives an example of two ¿killer business applications¿ that can be enabled by a NGMN.

关键词： Next generation networking convergence Wireless LAN Merging Wire Cellular networks Communication cables Wireless communication Streaming media Energy management

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The General Modulus-Based Synchronous Multi-Splitting Iteration Models for H+-Matrices Linear Complementarity Issues

The General Modulus-Based Synchronous Multi-Splitting Iterat...

引用

international conference on Digital Data Processing (DDP)

作者： Xue Qiufang Wang Aili Xi'an University of Technology Xi'an P.R. China

ISBN: (数字)9798331515706

ISBN: (纸本)9798331515713

More studies have been conducted on the synchronous multi-splitting iteration technique to improve its suitability for linear complementarity issues in today's fast-paced multiprocessor parallel computing settings. A new, general modulus-based synchronous multi-splitting iteration technique (GMSM method) is introduced. This technique extends previous approaches and boasts outstanding parallel computing capabilities. The convergence of the new technique is examined, and the findings on convergence are presented across various scenarios. These findings support some previous related findings.

关键词： convergence Vectors Transportation Digital information Artificial neural networks Zirconium Supply and demand Reviews Optimization Multiprocessing systems

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Edge computing Resource Management Based on Genetic Algorithm

Edge Computing Resource Management Based on Genetic Algorith...

引用

international conference on Electronics Information and Emergency Communication

作者： Lei Cai Kangning Yao Wenbin Xian Chao Gong The 4th System Department North China Institute of Computing Technology Beijing China Computer and Communication Engineering University of Science and Technology Beijing Beijing China

Resource management in edge computing has always been a hot research topic. In the scenario of multiple edge servers and multiple tasks, this paper proposes a task offloading model that optimizes the total cost by weighting energy consumption and latency to reduce energy consumption and latency. Based on the proposed task offloading model, an improved genetic algorithm is proposed to solve the optimal task offloading strategy. Simulation experiments have shown that applying improved genetic algorithms to task offloading models can accelerate convergence speed, find the optimal computing offloading strategy, and improve system performance.

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Free-Traversing Syntactic and Semantic Comparison on Semi-Structured Languages

Free-Traversing Syntactic and Semantic Comparison on Semi-St...

引用

international conference on Hybrid Information technology, ICHIT

作者： Hyun-Joo Moon Jae-Woo Yoo Department Cultural Contents Hankuk University of Foreign Studies Seoul South Korea School of Computing Soongsil University Seoul South Korea

Tree traversing for syntactic and semantic comparison causes expensive time and space consumption. Internet, heterogeneous computing environments, and ubiquitous computing technologies all cause an explosive increase of Web data, and most Web data is written in semi-structured language format. With the growth of Web data usage and the importance of the management, comparison techniques such as similarity detection are more and more needed for efficient information and database management. This paper introduces a free-traversing technique without tree traversing on parse trees generated by the corresponding language parser to analyze its syntactic and semantic meaning. This free-traversing technique uses DIES (direct invariant encoding scheme) encoding method and has similar results with DFS (depth first search) of parse tree traversing. We use XML schema DTDs to evaluate our free-traversing technique. We adopt some of ontological technologies, and apply LCS (longest common string) and LNS (longest nesting common string) structure extraction methods. With this free-traversing technique, semi-structured Web data management can be much easier and faster than existing tree traversing methods.

关键词： XML Indexes Encoding Data mining Ontologies Delay effects Impedance matching

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