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7th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2021

作者： Fyleris, Tautvydas Kriščiūnas, Andrius Gružauskas, Valentas Čalnerytė, Dalia Kaunas University of Technology Faculty of Informatics Department of Software Engineering Lithuania Kaunas University of Technology Faculty of Informatics Department of Applied Informatics Lithuania Kaunas University of Technology School of Economics and Business Sustainable Management Research Group Lithuania

ISBN: (纸本)9789897585036

Urban growth estimation is an essential part of urban planning in order to ensure sustainable regional development. For such purpose, analysis of remote sensing data can be used. The difficulty in analysing a time series of remote sensing data lies in ensuring that the accuracy stays stable in different periods. In this publication, aerial images were analysed for three periods, which lasted for 9 years. The main issues arose due to the different quality of images, which lead to bias between periods. Consequently, this results in difficulties in interpreting whether the urban growth actually happened, or it was identified due to the incorrect segmentation of images. To overcome this issue, datasets were generated to train the convolutional neural network (CNN) and transfer learning technique has been applied. Finally, the results obtained with the created CNN of different periods enable to implement different approaches to detect, analyse and interpret urban changes for the policymakers and investors on different levels as a map, grid, or contour map. © 2021 by SCITEPRESS - Science and technology Publications, Lda.

关键词： Urban growth

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Communication Interference Recognition Based on Improved Deep Residual Shrinkage Network

Communication Interference Recognition Based on Improved Dee...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Xiaojun Wu Yaya Lu Zhenghan Tang Daolong Wu Haitao Xiao Zhongzheng Sun School of Software Engineering Xi'an Jiaotong University Xi'an China Key Laboratory of Technology on Datalink China Electronics Technology Group Corporation(CETC) 20th Institute Xi'an China School of Information and Communication Engineering Xian Jiaotong University Xi'an China

In complex battlefield environments, Flying Ad-hoc NETwork (FANET) faces challenges of manually extracting communication interference signals features, low recognition rate in strong noise environment, and inability to recognize unknown interference types. To solve these problems, one Simple Non-local Correction Shrinkage (SNCS) module is constructed, which modifies the soft threshold function in the traditional denoising method and embeds it into the neural network, so that the threshold can be adjusted adaptively. Local Importance-based Pooling (LIP) is introduced to enhance the useful features of interference signals to reduce noise in the downsampling process, and the joint loss function is constructed by combining cross-entropy loss and center loss to jointly train the model. To distinguish unknown class interference signals, the acceptance factor is proposed, and the One Class Support Vector Machine Simplified Non-local Residual Shrinkage Network (OCSVM-SNRSN) model with the ability of both known class recognition and new class rejection is constructed by combining OCSVM and SNRSN. Experimental results show that the recognition accuracy of the OCSVM-SNRSN model is the highest in the scenario of low Jamming Noise Ratio (JNR). The accuracy is increased by about 4%-9% compared with other methods on the known class interference signal dataset, and the recognition accuracy reaches 99% when the JNR is -6dB. At the same time, compared with other methods, the False Positive Rate (FPR) for recognizing unknown class interference signals drops to 9%.

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NFT Scoring: An Analysis of the Considerable Features 22

NFT Scoring: An Analysis of the Considerable Features

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Proceedings of the 2022 5th International Conference on Blockchain technology and Applications

作者： Reza Nourmohammadi Mahdi Arabian Masoumeh Ghorbanpour Mohammad M. Nazemi Nasim Nezhadsistani Department of Software and IT Ecole de Technologie Superieure Canada Department of Industrial Engineering Buali Sina University Iran Kara Technologies Group Iran Department of Electrical Isfahan Univerisity of Technology Iran

ISBN: (纸本)9781450397575

As a cutting-edge technology, non-fungible tokens (NFT) have attracted a great deal of attention since 2021. Considering the numerous applications of these non-interchangeable digital assets in various industries and their tradability, NFTs have become an important element of many investors’ portfolios. Therefore, in order to evaluate NFTs and determine their main value, different tools must be used. The purpose of this study is to understand the dominant factors that influence the valuation of NFT assets. The purpose of this paper is to present a novel methodology for constructing a utility valuation model for NFTs as a whole. We will be able to analyze and diagnose the dynamics and performance of NFT markets using this model. We developed three models for scoring NFTs in this study, which can be used to speed up the evaluation process in three different dimensions.

关键词： Utility Blockchain NFT Scoring model Liquidity Rarity

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A Stationary Random Process Based Privacy-Utility Tradeoff in Differential Privacy

A Stationary Random Process Based Privacy-Utility Tradeoff i...

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High Performance Big Data and Intelligent Systems (HPBD&IS)

作者： Hongmiao Yan Lin Yao Yun Wang Xiaoxiong Zhong Junsuo Zhao School of Software Dalian University of Technology Dalian China DUT-RU International School of Information Science & Engineering Dalian University of Technology Dalian China Electronics Technology Group Corporation The 10th Research Institute China Chengdu China Peng Cheng Laboratory Shenzhen China Chinese Academy of Sciences Institute of Software Beijing China

Differential Privacy (DP) emerged as a promising solution to resist privacy attack and provided provable privacy guarantee. DP mechanisms typically introduce data perturbation to achieve almost equally statistical results regarding the presence or absence of an individual in a dataset. This perturbation in-volves adding noise to the dataset, however, it often compromises data utility despite its effectiveness in enhancing privacy. The critical parameter in determining the balance between privacy and utility is the privacy budget ε. But it lacks an effective approach to select an ε in current DP mechanisms. To address these challenges, we propose a novel privacy-preserving approach known as Differential Privacy with Stationary Random Process (DPSRP). We optimize the data privacy and utility of DP in the context of stationary random process. Specifically, we analyze the privacy and utility of DP within Markov chain. DPSRP facilitates the selection of an appropriate ε to achieve an optimal tradeoff between privacy and utility and yield high-quality differential private datasets. Extensive simulations conducted on real-world datasets validate the effectiveness of our theoretical results.

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An Optimal Network Coverage-oriented Operators Network Automatic Planning Strategy 5

An Optimal Network Coverage-oriented Operators Network Autom...

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5th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2022

作者： Gou, Haosong Su, Ling Zhang, Gaoyi Huang, Wei Yang, Yang Rao, Yunbo China Mobile Communications Group Sichuan Co. Ltd. Chengdu China Chengdu Aerospace Science and Industry Big Data Research Institute Co. Ltd. Chengdu China University of Electronic Science and Technology of China School of Information and Software Engineering China

ISBN: (数字)9781665499163

ISBN: (纸本)9781665499163

With the constant expansion of the scale of the operators' network, the difficulty of network planning is also significantly increased. The traditional way of manual network planning highly depends on engineers' experience, which results in many quality and efficiency problems, especially in the issues of coverage holes in the existing network, which usually requires a lot of human resources for the network planning. This paper proposes an optimal network coverage-oriented operators' network automatic planning strategy, the mathematical model can quickly deduce the optimal network topology and base station location. The final experimental analysis shows that our proposed method achieves much better performance on automatic network planning through a mathematical model than manually network planning. It saves lots of human resources in network planning and improves the efficiency and quality of network planning. © 2022 IEEE.

关键词： Personnel

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A Method for Maximizing Social Network Influence Considering Node Reading Effect and Delay

A Method for Maximizing Social Network Influence Considering...

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Pattern Recognition and Artificial Intelligence (PRAI), International Conference on

作者： Sheng Su Jingshu Li Wenxian Liu Qiuxia Liu Fei Zhao Yuan Tian Ye Tian School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China Department of Information Luzhou Laojiao Group Co. Ltd Luzhou China Department of Information Luzhou Laojiao Group Co. Ltd Luzho China

The dissemination of articles in social networks is not only related to the centrality of nodes, but also to the reading effect and delay of nodes. In order to more accurately measure the influence of nodes in the process of article dissemination, we propose a social network impact maximization method that considers the reading effect and delay of nodes. The reading effect of a node refers to the probability of forwarding and reading articles after receiving them, while the delay of a node refers to the time delay of forwarding or reading articles after receiving information. This method calculates the influence of each node during the article dissemination process by establishing an influence model that includes reading effect and delay, and selects some nodes as seed nodes. This method can improve the dissemination effect of articles and help design more effective social network marketing strategies and advertising placement plans.

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HASPER: An Image Repository for Hand Shadow Puppet Recognition

arXiv

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arXiv 2024年

作者： Raiyan, Syed Rifat Amio, Zibran Zarif Ahmed, Sabbir The Department of Computer Science and Engineering The Islamic University of Technology Boardbazar Gazipur Dhaka1704 Bangladesh Networking Research Group The Department of Computer Science and Engineering The Islamic University of Technology Boardbazar Gazipur Dhaka1704 Bangladesh AI-based software company ReplyMind AI Ltd. Mirpur Dhaka1216 Bangladesh The Department of Computer Science and Engineering The Islamic University of Technology Boardbazar Gazipur Dhaka1704 Bangladesh

Hand shadow puppetry, also known as shadowgraphy or ombromanie, is a form of theatrical art and storytelling where hand shadows are projected onto flat surfaces to create illusions of living creatures. The skilled performers create these silhouettes by hand positioning, finger movements, and dexterous gestures to resemble shadows of animals and objects. Due to the lack of practitioners and a seismic shift in people’s entertainment standards, this art form is on the verge of extinction. To facilitate its preservation and proliferate it to a wider audience, we introduce HASPER, a novel dataset consisting of 15,000 images of hand shadow puppets across 15 classes extracted from both professional and amateur hand shadow puppeteer clips. We provide a detailed statistical analysis of the dataset and employ a range of pretrained image classification models to establish baselines. Our findings show a substantial performance superiority of skip-connected convolutional models over attention-based transformer architectures. We also find that lightweight models, such as MOBILENETV2, suited for mobile applications and embedded devices, perform comparatively well. We surmise that such low-latency architectures can be useful in developing ombromanie teaching tools, and we create a prototype application to explore this surmission. Keeping the best-performing model RESNET34 under the limelight, we conduct comprehensive feature-spatial, explainability, and error analyses to gain insights into its decision-making process. To the best of our knowledge, this is the first documented dataset and research endeavor to preserve this dying art for future generations, with computer vision approaches. Our code and data will be publicly available. © 2024, CC BY-NC-SA.

关键词： Image classification

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Design and Implementation of Coal Mine Monitoring Networking System Based on Service-Oriented Architecture

Design and Implementation of Coal Mine Monitoring Networking...

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International Conference on Network and Information Systems for Computers (ICNISC)

作者： Yunqi Chen Jin Xu Measurement and Control Technology Research Institute China Coal Technology Engineering Group Chongqing Research Institute Chongqing China School of Big Data & Software Engineering Chongqing University Chongqing China

ISBN: (纸本)9781665453523

Coal is the most important basic energy supporting the development of the national economy, safe production and effective supervision and management are of great significance. Currently, the coal mine safety monitoring system can be monitored locally, but it cannot help the supervision department to realize the remote supervision and centralized supervision. Establishing a corresponding coal mine safety monitoring network system has become a urgent need of coal mine safety supervision. In the paper, we first study the service-oriented architecture(SOA), and describes the windows communication foundation(WCF) technology, the technology is a main way to achieve SOA architecture. Then combined with WCF technology, the function and logic structure of coal mine safety monitoring network system are designed. Finally, the network system of mine monitoring system based on SOA was realized in the background of a mine monitoring system networking project of a company.

关键词： Economics Companies Computer architecture Coal Safety Coal mining Service-oriented architecture

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Accessibility Metadata: A Proposal for the OER's Evaluation Considering Quality Models 5

Accessibility Metadata: A Proposal for the OER's Evaluation ...

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5th IEEE Ecuador Technical Chapters Meeting, ETCM 2021

作者： Chimbo, Bryan Ingavélez-Guerra, Paola Otón-Tortosa, Salvador Salesian Polytechnic University Research Group on Artificial Intelligence and Assistive Technologies Cuenca Ecuador University of Alcalá Faculty of Computer Science Information Technology Department of Software Engineering Madrid Spain

ISBN: (纸本)9781665441414

The collaborative approach which are born OER (Open Educational Resource) is the joint search for pedagogical and technological challenges to achieve improved quality reconstruction. It is necessary to demonstrate defined metrics that support processes and provide guidelines or instructions related to design for all. The open feature of the OERs must demonstrate accessibility, guaranteeing their interoperability. The incorporation of intelligent systems based on the efficient publication of accessibility information, contributes to the evaluation of accessible resources, knowledge modeling and future trends based on the feedback of profiles, and personalization from the user experience through. This paper presents the proposal for an expert system based on the ISO 40500, ISO 24751 and UDL standards. © 2021 IEEE.

关键词： Metadata

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GAMS-based Efficient Approach for Coordination of Directional Overcurrent Relays in Distribution System

GAMS-based Efficient Approach for Coordination of Directiona...

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International Conference on Emerging Technologies, ICET

作者： Abu Bakar Waqas Muhammad Bilal Raza Muhammad Mansoor Ashraf Muhammad Waseem Fabiano Pallonetto Farzana Kulsoom Electrical Engineering Department University of Engineering and Technology Taxila Pakistan Department of Electronics Engineering International Renewable and Energy Systems Integration Research Group (IRESI) Maynooth University Co. Kildare Ireland Lero - Science Foundation Ireland Research Centre for Software School of Business Innovation Value Institute (IVI) Maynooth University Co. Kildare Ireland Telecommunication Engineering Department University of Engineering and Technology Taxila Pakistan

ISBN: (数字)9798350379587

ISBN: (纸本)9798350379594

In designing a power system, efficacious synchronization of directional over-current relays (DOCRs) plays a pivotal role in guaranteeing the system's stability and ensuring continuous power flow, even in the event of disturbance. However, attaining this optimized strategy pertains to the persistence of solving extremely constrained and nonlinear optimized complications. The main intention is to formulate an optimized coordination strategy to optimize the overall operational time (OT) of DOCRs. This involves featuring optimized values of decision variables, specifically the relay plug settings (PS) and time dial settings (TDS). The designed formulation for DOCRs is employed on various IEEE bus networks like the 8, 9, and 15 bus systems. Comparative evaluation of obtained results is accomplished with numerous algorithms that showcase the competency of the GAMS-driven optimization strategy. The results depict that there is an improvement of 1.8-23 % in the total operational time of relays depending upon the test system under consideration.

关键词： Translation Power system stability Data models Stability analysis Synchronization Relays Optimization Plugs Testing Load flow

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