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Fast Image Segmentation and Animation Generation Algorithm Based on Depth Image Sequence

Fast Image Segmentation and Animation Generation Algorithm B...

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Networking, Communications and Information Technology (NetCIT), international conference on

作者： Zhigan Liang Software Engineering Institute of Guangzhou Guangzhou Guangdong China

In this paper a continuous automatic segmentation method for color sequence slice images of Chinese virtual human is proposed. Its main idea is based on region growing algorithm, and animation is a new algorithm for segmenting moving target images from complex background by using sequence images. Firstly, the animation uses Markov random field (MRF) model and continuoushneprocess to establish a more accurate animation objective function, and uses parallel computing method to calculate the velocity field. Then, based on this, the parallel segmentation of the target animation is realized. Depth image fitting or depth image segmentation is to divide point cloud data with the same geometric features into the same area and perform surface fitting. There are two main methods for deep motion image segmentation: one is based on edge segmentation, and the other is based on region growing. Due to the characteristics of the depth image acquisition method, the point cloud data is often discontinuous and contains more noise. Using the edge based segmentation algorithm, the boundary point segmentation can be effectively realized only when the processed point cloud data has animation continuity and less noise points. In this paper, a method of animation parameter optimization calculation based on depth image sequence is proposed. According to the depth image sequence under different attitudes, the optimization function of animation parameters and attitude parameters is designed, and the deformation results under different attitudes are comprehensively considered. By alternately optimizing the animation parameters and attitude parameters, the animation parameters are output until the objective function converges.

关键词： Point cloud compression Image segmentation Motion segmentation Computational modeling Image edge detection Animation Linear programming

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Design of Infrastructure for Pumped Storage Power Station and Automatic Monitoring System Using Geographic Information System 2

Design of Infrastructure for Pumped Storage Power Station an...

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2021 2nd international conference on Applied Physics and computing, ICAPC 2021

作者： Wang, Yang Wang, Binbin Zhu, Tongyi HuaDong Engineering Corporation Limited Hangzhou311122 China School of Architecture Southeast University Nanjing210096 China

The pumped storage power station realizes grid connected power generation through the conversion between the potential energy of surface water and mechanical energy. It has become the strategic resource of UHV power grid with its low valley peak regulation and emergency standby function. The green basic design and design of the pumped storage power station needs systematic research. Based on the collaborative analysis method of production and ecological safety of storage disk, this paper takes Ninghai pumped storage power station as an example to carry out green infrastructure planning and design research. Through the comprehensive evaluation and analysis of construction land based on GIS, from the perspective of adaptability of power station construction to mountain creek pit environment, the function of horizontal layout is constructed in parallel and vertical layout, and a modular and distributed spatial structure of green infrastructure is constructed;Then, based on the continuous recycling of water resources, the monitoring and early warning system of power plant production ecological safety is constructed, which is "one water, two lines and three slopes". It is hoped that the correlation between the production and the ecological dispatching of the storage tray can be found through the dynamic tracking of multiple factors and quantitative analysis of production cycle, which can provide reliable basis for timely mitigation of damage and formulation of compensation strategies, Scientific control of green infrastructure planning, design and construction. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Potential energy

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Non-Detection Zone Analysis of Frequency and Voltage Based Passive Methods

Non-Detection Zone Analysis of Frequency and Voltage Based P...

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Electrical Power engineering, Communication and computing Technology(ODICON), Odisha international conference on

作者： Plaban Dash M. Mishra Dept. of Electrical Engineering Veer Surendra Sai University of Technology Burla Odisha India

ISBN: (纸本)9781665478403

This paper depicts the time detection of islanding by a frequency and voltage relay. Both synchronous generator based and inverter based distributed generations are considered and their islanding behavior is studied. Unwanted islanding in a microgrid is harmful and should be detected timely by the relays in order to protect the apparatus of both grid and utility side. After islanding, due to inherent limitations of the relays, for small mismatch of Power, the relays can't detect the islanding. This is called ndZ and it has to be minimized for smooth islanding. Quick detection of islanding has been carried out by under/over-frequency relay and under/over-voltage relay. The relays are such designed that the timely detection of the islanding becomes possible and Non detection zones (ndZs) of the relay are minimized. The islanding behavior is studied by opening the utility side breaker. Load-generation mismatchfor both active and reactive Power is done and islanding detection time of relays for different models have been observed. In this simulation it is found that, islanding detectiontime for relays in case of synchronous DG was a little longer than that of the inverter-based DG. Detection of islanding by the relays was quicker during overload. Comparatively the under/over-frequency relay took more time for islanding detection than the under/over-voltage relay.

关键词： Reactive power Time-frequency analysis Islanding Voltage Microgrids Generators Behavioral sciences

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An industrial equipment maintenance support system for networked collaborative evolution in the smart product service ecosystem

An industrial equipment maintenance support system for netwo...

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Digital Twins and parallel Intelligence (DTPI), IEEE international conference on

作者： Yu-Guang Bao Zhao-Hui Sun Xiao-Qiang Liao Yuan Chang Siqi Qiu Xinguo Ming School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9781665492270

ISBN: (纸本)9781665492287

The traditional model of industrial equipment operation and maintenance has changed with the development of industrial internet technologies such as edge computing, cloud-edge collaboration, big data, artificial intelligence, digital twins, etc. Meanwhile, researchers are beginning to focus on the range of influence of equipment asset reliability, which is shifting from local performance to organizational goals. The networked collaborative evolution of equipment assets and value chain management is becoming the core value proposition of industrial internet platforms. From the perspective of system architecture, this paper discusses a novel industrial equipment maintenance support system based on the industrial internet platform, detailing the design of the resource and edge layer, cloud platform layer, big data governance and service layer, modeling and simulation layer, information model and collaboration layer, and organization, business, and service layer. The proposed system architecture and solution are expected to provide possible guidance for group-type enterprises and cross-industry service providers to help them innovate equipment asset management solutions based on the industrial internet platform.

关键词： cloud computing Collaboration Systems architecture Organizations Maintenance engineering Big Data Data models

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Analysis of WiFi Spatio-Temporal Data for Organic Fingerprinting-based Indoor Positioning System

Analysis of WiFi Spatio-Temporal Data for Organic Fingerprin...

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Electronic and Electrical engineering and Intelligent System (ICE3IS), international conference on

作者： Abdul Halim Ismail Amirah Husna Mohd Hajazi Muhamad Safwan Muhamad Azmi Mohd Sani Mohamad Hashim Mohd Nasir Ayob Hassrizal Hassan Basri Faculty of Electrical Engineering Technology Intelligent Computing and System Informatics Research Group (ICSI) Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP)

ISBN: (纸本)9781665465427

The mobile robot navigation is the next huge topic after positioning utilizing fingerprinting-based Wireless Positioning System (WPS). Many of recent works does not discuss this topic yet since many open problems in positioning topic are not yet solved, for instance the issues on multi-devices heterogeneity, instability of WiFi signals, granularity problems in grid-based indoor environment and many others. However, we anticipate that both positioning and navigation works must run in parallel so that the succession are guaranteed. This paper describes the analysis of spatio-temporal data of the signal obtained from the WiFi Access Point. Initial results suggest that the difference between transmitter heights have an effect on the spatio-temporal data while the handover of maximum signal strengths is inherent when three WiFi APs are used.

关键词： Wireless communication Electrical engineering Navigation Transmitters Fingerprint recognition Handover Indoor environment

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SD-MIRS: SDN-based multi-identifier routing strategy 21

SD-MIRS: SDN-based multi-identifier routing strategy

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2nd international conference on computing, Networks and Internet of Things, CNIOT 2021

作者： Shi, Mengchu Chen, Qinshu Li, Hui Wei, Guohua Yang, Xin Wang, Han Dept. of Electronic and Computer Engineering Shenzhen Graduate School Peking University Shenzhen China Guangdong Communications and Networks Institute Shenzhen China

ISBN: (纸本)9781450389693

Due to the needs of complex application scenarios and various functional requirements, future networks require the coexistence of multiple identifiers. However, there is still a lack of a unified routing strategy for networks that coexist multiple identifiers in parallel. To solve this problem, in this paper, we propose the SDN-based Multi-Identifier Routing Strategy (SD-MIRS). Specifically, we design the distributed architecture of flow tables to unify the routing methods, optimize the disparate-cluster routing to better express the semantics of identifiers, increase the heat of the intra-cluster table having high-priority entries to improve routing efficiency and introduce the SDN controller to adapt to the complex topology. Finally, we verify that SD-MIRS has good cross-cluster routing efficiency and low router load by experiments. © 2021 ACM.

关键词： Semantics

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Kernel Virtual Machine based High Performance Environment for grid and Jungle computing

Kernel Virtual Machine based High Performance Environment fo...

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international Informatics and Software engineering conference (UBMYK)

作者： Sibghat Ullah Bazai Muhammad Imran Ghafoor Mubashar Aqeel Muhammad Sohaib Roomi BUITEMS Department of Computer EngineeringQuettaPakistan Superior University Lahore Pakistan

ISBN: (纸本)9781665407601

grid, cluster, cloud, and jungle enable highspeed computing in current domains. To tackle the rising data and the computation on the internet by dispersing the load between numerous nodes, grid and jungle computing originated as the largest option. In this article, we demonstrate two models-grid and jungle-using virtual machines. The java based virtual machine environment is used for constructing jungle and grid models. Our main aim is to reduce power consumption, gain high performance and reduce hardware costs for building these types of settings. The approach employs KVM (Kernel-based Virtual Machine) and Open Nebula cloud for configuration and deployment of grid and jungle in a virtual environment. The performance of different algorithms in virtual machines and regular machines are tested individually. The performance of models is calculated and compared using streaming Ramanujan number, firefly technique, and finding the prime numbers for both grid and jungle environment. The results provide the high execution of KVM for Ramanujan numbers and prime numbers while firefly technique requires more execution time on grid computing.

关键词： cloud computing Power demand Computational modeling Buildings Wires Virtual environments Virtual machining

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Research on monitoring system of building slope deformation based on internet of things 2

Research on monitoring system of building slope deformation ...

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2020 2nd international Academic Exchange conference on Science and Technology Innovation, IAECST 2020

作者： Xinfa, Yang Qiong, Liu Hainan Institute of Marine Geological Survey Haikou Hainan Province China Hainan Hydrogeological Engineering Geological Survey Institute Haikou Hainan Province China

A building slope deformation monitoring system based on the Internet of Things technology was studied in this paper. Through the powerful data acquisition, storage, calculation and analysis capabilities of new technologies such as sensors, cloud computing, big data communication and visualization, and a variety of monitoring data acquisition instruments, sensors, communication terminals, cloud platform and other software and hardware resources as the carrier, it can realize real-time online equipment, continuous data acquisition, real-time calculation, data analysis, emergency warning, and the whole process of deformation monitoring services. Our research solves the deficiency of traditional technical means and effectively improves the timeliness, reliability and information level of construction slope deformation monitoring. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://***/licenses/by/4.0/).

关键词： Data acquisition

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Design and Performance Analysis of grid Connected Photovoltaic (GCPV) based DSTATCOM for Power Quality Improvements 2

Design and Performance Analysis of Grid Connected Photovolta...

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2nd international conference on Emerging Electrical Energy, Electronics and computing Technologies 2020, ICE4CT 2020

作者： Baharudin, N.H. Ridzwan, M.A.H. Mansur, T.M.N.T. Ali, R. Ananda-Rao, K. Che Mid, E. Suboh, S.M. Abdullah, A.M. Faculty of Electrical Engineering Technology Universiti Malaysia Perlis Pauh Putra Campus Perlis Arau02600 Malaysia Faculty of Electrical Engineering Technology Universiti Malaysia Perlis Pauh Putra Campus Perlis Arau02600 Malaysia Kuala Lumpur Malaysia

Solar energy has become the most prominent renewable energy for electrical power generation of the sustainable development agenda. This project focuses on power quality improvement in the low voltage distribution network by using a three-phase three-wire distributed Static compensator (DSTATCOM) supplied by a single-stage grid-connected solar photovoltaic (GCPV) system. The instantaneous reactive power theory (IRPT) or P-Q theory will be used as the control algorithm of the PV based DSTATCOM to eliminate the harmonic current caused by the non-linear loads in the distribution system. This control method has great impact on the accuracy of the harmonic current and reactive power compensation for harmonic current elimination according to the requirement of THD limit set by IEEE 519-2014. Sizing of the grid-connected solar PV system based DSTATCOM will be presented and capable to deliver the active power demand to the utility grid under variation of solar irradiances. This system is modelled and simulated in the MATLAB/Simulink environment. © Published under licence by IOP Publishing Ltd.

关键词： Solar energy

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Expression of Concern for: Attack Detection Taxonomy System in cloud services

Expression of Concern for: Attack Detection Taxonomy System ...

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international conference on Innovative Sustainable Computational Technologies (CISCT)

作者： Neeraj Kumar Singh Abhishek Jain Shruti Arya Walter Edgar Gómez Gonzales Jessica Elizabeth Acevedo Flores Ashish Tiwari Jaipur Engineering College and Research Center Rajasthan India Universidad Privada San Juan Bautista Perú Escuela Profesional de Medicina Humana Universidad Privada San Juan Bautista Filial Ica Perú CSE Amity University Lucnkow India

ISBN: (数字)9781665474160

ISBN: (纸本)9781665474177

cloud computing is the innovation that is as of now used to give clients foundation, stage, and programming administrations really. Under this framework, Platform as a Service (PaaS) offers a medium set out toward a web improvement stage that consistently disperses solicitations and assets. Programmers utilizing denial of service (DoS) distributed DoS (DDoS) goes after suddenly intrude on these solicitations. The impacts of contrasting and the standardized data have shown an extra uplifting location exactness of almost 100% for the various DoS assault as well as DDoS assaults. Early recognition of such goes after assists in minimization of the unapproved usage of assets on the objective with machining. Different inbuilt burden adjusting and versatility choices to retain flooding assaults are being used by cloud specialist organizations up to more than adequate degree still to keep up with QoS simultaneously by cloud specialist co-ops is a test. In this paper a broad audit of cloud computing with the fundamental spotlight on holes and security concerns. We recognize the top security dangers and their current arrangements. We additionally examine the difficulties/impediments in executing danger remediation.

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