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Architectural Roaming Animation Based on VR technology

Architectural Roaming Animation Based on VR Technology

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international conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT 2020

作者： Yang, Heng Wuxi Institute of Arts & Technology YixingJiangsu China

ISBN: (纸本)9783030627454

Architectural design, as a kind of art, itself has a strong innovation, and when it found computer animation science and technology to express more ideal and unique artistic effects, architectural performance technology has made rapid progress in the development. As an important means of architectural expression, the virtual technology of architectural animation provides a new digital mode for the promotion of architectural image. Architectural animation virtual 3D film with its unique form of expression to establish a highly technical, humanized virtual space, has become a popular new technology field in the 21st century. The purpose of this paper is to study the application of architectural roaming animation based on VR technology. Based on the background and significance of the application of virtual reality technology in the construction industry, this paper briefly describes the definition of virtual reality, and then introduces two technologies of virtual reality collision detection and automatic pathfinding. Finally, Unity3D and C++ are used to design and implement the building roaming system. Through testing the system’s automatic pathfinding performance under different terminals, the pathfinding time on the computer end is the shortest, less than 100 ms. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Animation

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Evaluation of Wireless Sensor Networks Module using IoT Approach

Evaluation of Wireless Sensor Networks Module using IoT Appr...

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Artificial Intelligence and Smart Systems (ICAIS), international conference on

作者： L. Anand Padmalal S J. Seetha R. Juliana PS Naveen Kumar Gayatri Parasa Department of Networking and Communications School of Computing SRM Institute of Science and Technology Kattanguluthur Department of Computer Science and Engineering Mangalam College of Engg Kerala Department of Computer Science and Business Systems Panimalar Engineering College Chennai Department of Information Technology Loyola-ICAM College of Engineering and Technology Chennai India Department of CSE-DATA SCIENCE St. Ann's College Of Engineering And Technology Chirala AP Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Guntur Andhra Pradesh India

Microcomputers and medical devices with signal transceivers that operate on a specific radio display constitute the backbone of wireless sensor networks (WS Ns) that monitor environmental conditions (temperature, pressure, light, vibration levels, location). It is widely used in WAN sensor networks because of its flexible design and low setup fees. The u200b touch network allows for the connection of up to 65,000 devices, while the intelligent sensors on other wireless networks are used to transfer data ports and assign wireless networks. Since the price of wireless solutions has been decreasing, and their functional capabilities have been growing, they are gradually replacing wired ones in telemetry data gathering systems and long- distance detecting communication. A deep learning model was used in this investigation to prevent the sensor nodes from manipulating data. Sensor nodes include a lot of parameters and estimations. If these projected data values are altered, network performance will suffer, and the node's lifetime will be reduced. Data security became a priority when the sensor nodes were distributed. This new method is 98.82% more efficient than the previous one.

关键词： Temperature sensors Wide area networks Vibrations Temperature measurement Wireless sensor networks Wireless networks Transceivers

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Machine Learning-Based Classification of Apple Sweetness with Multispectral Sensor

Machine Learning-Based Classification of Apple Sweetness wit...

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Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing (SNPD-Winter), ACIS international Winter conference on

作者： Nhut-Thanh Tran Quoc-Thang Phan Chanh-Nghiem Nguyen Masayuki Fukuzawa Graduate School of Science and Technology Kyoto Institute of Technology Kyoto Japan Can Tho University Can Tho Vietnam

By combining an optimally-trained classifier with a simple spectrometric system developed by ourselves, the sweetness of apples has been classified nondestructively with high accuracy and precision. A simple spectrometric system is practical in principle, but its manufacturability and reproducibility were somehow limited in the previous studies because they were based on discrete components such as filters or LEDs. High manufacturability and reproducibility of our developed system were already reported, but the performance of sweetness grading was not examined. In this study, the best performance of 91.3% accuracy and 91.5% precision was obtained from a discriminant analysis (DA) model that was trained with the spectral response of apple at five wavebands (535, 680, 730, 760, and 900 nm) selected with a sequential forward selection (SFS) algorithm. The performance level was superior to that of the previous studies on their simple spectrometric systems. From the achieved performance and evaluated computational complexity, it can be concluded that the combination of a machine learning-based classifier and our simple spectrometric system is effective for fruit quality assessment and especially suitable for cost-effective applications.

关键词： Optical filters Support vector machines Reproducibility of results Quality assessment Classification algorithms Computational complexity Software engineering

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Early Warning Management of Enterprise Human Resource Crisis Based on Fuzzy Data Mining Algorithm of Computer

Early Warning Management of Enterprise Human Resource Crisis...

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international conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT 2020

作者： Wu, Hua Business School Macau University of Science and Technology Macau610041 China

ISBN: (纸本)9783030627454

Since the 21st century, human resources, as an important force to promote the healthy and rapid development of enterprises, has been attached great importance to by all walks of life, which has effectively promoted the rapid development of human resources in China’s enterprises in recent decades. However, with the increasingly fierce market competition and the penetration of highly developed information internet, the current enterprise human resource management has gradually produced many crises, which constitutes a serious constraint on the development of enterprises. A data mining method is designed, which can cluster and analyze the existing talents in the organization, so as to discover the types of talents in the organization and judge which type an employee belongs to. How to deal with the human resource crisis effectively and change the crisis into a turning point has become the most urgent problem for many enterprises. Combined with practice, taking effective early warning management is an important way to solve this problem. Based on the author’s many years of enterprise human resource management practice, this paper will first summarize the human resource crisis of the enterprise, and then discuss the current difficulties faced by the crisis early warning management, and on this basis explore some corresponding countermeasures. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Data mining

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An highly realistic optical camera communication simulation framework for Internet of Things applications

An highly realistic optical camera communication simulation ...

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Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing (SNPD-Winter), ACIS international Winter conference on

作者： Nguyen Manh Tuan Truong Viet Phuong Trong-Hop Do Ngo Tan Vu Khanh University of Economics Ho Chi Minh City Vietnam University of Information Technology Ho Chi Minh City Vietnam

ISBN: (纸本)9781665418430;9781665448260

The rise of Internet of things (IoTs) requires new communication technologies to be developed to suit many of its application. In recent years, optical camera communication (OCC) has emerged as a promising candidate for short to middle range communication for IoTs applications. At the moment, OCC is in the early stage of development where both the hardware and software of the OCC system are still being researched and optimized. A simulation framework can significantly accelerate the development process of the OCC system. However, building such a simulation framework is difficulty as it requires multidisciplinary knowledge related to multiple fields such as photometry, camera geometry, digital image acquisition, and optical image communication. In this study, the principles and requirements of these multidisciplinary domain are integrated to build a highly realistic framework for OOC system.

关键词： Integrated optics Optical fiber networks Optical variables control Optical imaging Cameras Internet of Things Photometry

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Evaluation of the efficiency of graduate schools using data envelope analysis (DEA)

Evaluation of the efficiency of graduate schools using data ...

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Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing (SNPD-Winter), ACIS international Winter conference on

作者： Wookjoon Sung Changil Kim Seoul National University of Science and Technology Seoul Korea

The operational efficiency of the research aspect of the graduate university, as it was considered that the minimum efficiency in the characteristics of the graduate school would need to be reviewed. As a result of the analysis, in the case of the education investment model, there were only 3 schools with scale inefficiencies, but in the case of the research-centered model, 19 schools were found, and relatively large amounts of scale inefficiency occurred in the research side. Therefore, in terms of the size of the education investment model, most schools operate efficiently, but in terms of the research-oriented model, nearly half of the schools (19 schools, 45.2%) are causing inefficiency, and all 19 schools are profitable. As it is located in the congestion (IRS) section, it can be seen that the research function of graduate schools should be *** the education investment model, there are 13 schools with operational inefficiencies, and 30% exist. It seems that efficient operation is needed. In the case of the research-centered model, there are 10 schools with operational inefficiencies, and in the research model, it can be seen that there are many inefficiencies not only in terms of scale but also in terms of operation.

关键词： Analytical models Operating systems Education Artificial intelligence Investment Software engineering

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See Fine Color from the Rough Black-and-White 21st

See Fine Color from the Rough Black-and-White

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21st international conference on Parallel and distributed computing, Applications, and Technologies, PDCAT 2020

作者： Wu, Jingjing Ning, Li Zhou, Chan Huawei Technologies Hangzhou China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (纸本)9783030692438

Image super-resolution and colorization are two important research fields in computer vision. In previous studies, they have been considered separately as two unrelated tasks. However, for the task of restoring gray video to high-definition color video, when the network learns to abstract features from low-resolution images and maps them to high-resolution images, the abstract understanding of images by the network is also useful for colorization task. Treating them as two unrelated tasks have to construct two different models, which needs more time and resources. In this paper, we propose a framework to combine the tasks of image super-resolution and colorization together. We design a new network model to directly map low-resolution gray images into high-resolution color images. Moreover, this model can obtain motion information of objects in the video by predicting surrounding frames with the current frame. Thus, video super-resolution and colorization can be realized. To support studying super-resolution and colorization together, we build a video dataset containing three scenes. As far as we know, this is the first dataset for such kinds of tasks combination. © 2021, Springer Nature Switzerland AG.

关键词： Color

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On the Non-ergodic Convergence Rate of the Directed Nonsmooth Composite Optimization 1

引用

21st international conference on Parallel and distributed computing, Applications, and Technologies, PDCAT 2020

作者： Dong, Yichuan Cui, Zhuoxu Zhang, Yong Feng, Shengzhong National Supercomputing Center in Shenzhen Guangzhou China Wuhan University Wuhan China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (数字)9783030692445

ISBN: (纸本)9783030692438

This paper considers the distributed "nonsmooth+nonsmooth" composite optimization problems for which n agents collaboratively minimize the sum of their local objective functions over the directed networks. In particular, we focus on the scenarios where the sought solutions are desired to possess some structural properties, e.g., sparsity. However, to ensure the convergence, most existing methods produce an ergodic solution via the averaging schemes as the output, which causes the desired structural properties of the output to be destroyed. To address this issue, we develop a new decentralized stochastic proximal gradient method, termed DSPG, in which the nonergodic (last) iteration acts as the output. We also show that the DSPG method achieves the nonergodic convergence rate O(log(T)/T) for generally convex objective functions and O(log (T) / T) for strongly convex objective functions. When the structure-enhancing regularization is absent and the simple and suffix averaging schemes are used, the convergence rates of DSPG reach O(1/T) for generally convex objective functions and O(1/T) for strongly convex objective functions, showing improvement relative to the rates O(log(T)/T) and O(log (T) / T) provided by the existing methods. Simulation examples further illustrate the effectiveness of the proposed method. © 2021, Springer Nature Switzerland AG.

关键词： Directed graphs

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Quick search optimization algorithm-based implementation of virtual power plant for distribution network 1st

Quick search optimization algorithm-based implementation of ...

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1st international conference on Frontiers in Smart Systems Technologies, ICFSst 2019

作者： Lakshmi, K. Kesavan, T. Kavin, R. Sheebarani Gnanamalar, S. Senthilkumar, M. Gomathy, V. Department of Electrical and Electronics Engineering Sri Krishna College of Engineering and Technology CoimbatoreTamilnadu India

ISBN: (纸本)9789811550287

Virtual power plant (VPP) is one of the developing concepts for integrating of renewable energy source (RES) photovoltaic (PV), air turbines (WT), or integrated heat and power generators as a single energy plant, coordinated and constructed. This paper proposes quick search optimization algorithm based monitoring and control of the virtual power station in the distribution network. The proposed algorithm is used to manage electrical power in the distribution network to reduce the purchased power of the network. This objective is achieved through optimal selection of renewable-based distributed generators, control of load and optimization of energy storage components. In these proposes, two main renewable energy sources of wind power and solar power are integrated with grid to manage the energy in VPP. In this, quick search algorithm is used for forecasting the generate power from windmill and solar cell based on wind circulation and earth temperature, respectively, and also calculating power demand which depends on the load condition. The MATLAB software is used to model the VPP and the performance analysis of generating power of sources and power demand of load. © Springer Nature Singapore Pte Ltd 2021.

关键词： Virtual Power Plants

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End-to-end security for connected vehicles 12th

End-to-end security for connected vehicles

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12th international conference on intelligent Networking and Collaborative Systems, INCoS 2020

作者： Ahmed, Kazi J. Hernandez, Marco Lee, Myung Tsukamoto, Kazuya New York United States Mexico City Mexico Kyushu Institute of Technology Kitakyushu Japan

ISBN: (纸本)9783030577957

Recently Mode 4 operation of Cellular Vehicle to Everything (C-V2X) specifies the operation of vehicle-to-vehicle, vehicle-to-pedestrian and vehicle-to-UE-stationary over the PC5 interface. However, the security is delegated to the application layer, which is out of the scope of the 3GPP-layer specification. Hence, we propose a transparent and independent distributed security protocol for C-V2X over the PC5 interface at the RLC-layer based on cryptographic ratchets. Our new proposed security protocol provides authenticated encryption, integrity, forward and backward secrecy. The security procedure can start on the fly as soon as vehicles enter a C-V2X group over the PC5 interface, using the cryptographic credentials of the digital certificate issued for ITS applications. The distributed security protocol supports strong encryption, authentication and privacy regardless of the use case in 5G applications for C-V2X over the PC5 interface. © Springer Nature Switzerland AG 2021.

关键词： Vehicles

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