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18th INDIAcom;11th International Conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Singh, Sugandha China Ramu, S. Lalit, Ruchika Sgt University Department of Computer Science and Engineering Gurugram India Chaitanya Bharathi Institute of Technology Department of Computer Science and Engineering Hyderabad India University School of Automation and Robotics Ggsipu East Campus New Delhi India

ISBN: (纸本)9789380544519

Emerging technologies of today are altering the way we think about the built environment. In the meantime, many technologies have undergone revolutionary changes, and India, an expanding nation, offers opportunities for development in several new areas. The goal of the study is to show how organizations need to adapt their perspective and create new strategies for emerging technologies such as artificial intelligence (AI), machine learning (ML), big data, quantum, and space exploration in light of the swift advancements in technology. This paper presents that although India has come across a lot of advancements in this era of emerging technology, certain challenges have been faced in aspects like adapting, feasibility, and approval which brought many changes across the country, which in turn is impacting the pace to transform the country towards Industry 4.0 and Industry 5.0. Therefore a study is presented to understand the impact of emerging technologies for countries coming up as Industry 4.0 and Industry 5.0. This paper emphasizes on for India's initiatives for emerging technologies to come up as VIKSIT BHARAT @2047. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Artificial Intelligence Big Data Fabrication Hypersonic platforms Industry 4.0 and Industry 5.0 Quantum computing

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Sustainable Mining in the Era of Artificial Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 1-4页

作者： Long Chen Yuting Xie Yutong Wang Shirong Ge Fei-Yue Wang IEEE the State Key Laboratory for Management and Control of Complex Systems at the Institute of Automation Chinese Academy of SciencesBeijing 100190China the National Laboratory of Pattern Recognition at the Institute of Automation and Waytous Ltd.China the School of Computer Science and Engineering Sun Yat-Sen UniversityGuangzhou 510275GuangdongChina the School of Mechanical Electronic and Information Engineering China University of Mining and Technology BeijingBejing 100083China the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100190China

The mining sector historically drove the global economy but at the expense of severe environmental and health repercussions,posing sustainability challenges[1]-[3].Recent advancements on artificial intelligence(AI)are revolutionizing mining through robotic and data-driven innovations[4]-[7].While AI offers mining industry advantages,it is crucial to acknowledge the potential risks associated with its widespread ***-reliance on AI may lead to a loss of human control over mining operations in the future,resulting in unpredictable consequences.

关键词： Sustainable mining consequences

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Two Layer Symmetric Cryptography Algorithm for Protecting Data from Attacks

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computers, Materials & Continua 2023年第2期74卷 2625-2640页

作者： Muhammad Nadeem Ali Arshad Saman Riaz Syeda Wajiha Zahra Shahab SBand Amir Mosavi Department of Computer Science Abasyn UniversityIslamabad44000Pakistan Department of Computer Science National University of TechnologyIslamabad44000Pakistan Future Technology Research Center National Yunlin University of Science and TechnologyDouliuYunlin64002Taiwan Institute of Information Society University of Public ServiceBudapest1083Hungary John Von Neumann Faculty of Informatics Obuda UniversityBudapestHungary Institute of Information Engineering Automation and MathilticsSlovak University of Technology in BratislavaSlovakia

Many organizations have insisted on protecting the cloud server from the outside,although the risks of attacking the cloud server are mostly from the *** are many algorithms designed to protect the cloud server from attacks that have been able to protect the cloud server ***,the attackers have designed even better mechanisms to break these security *** cryptography is the best data protection algorithm that exchanges data between authentic *** this article,one symmetric cryptography algorithm will be designed to secure cloud server data,used to send and receive cloud server data securely.A double encryption algorithm will be implemented to send data in a secure ***,the XOR function will be applied to plain text,and then salt technique will be ***,a reversing mechanism will be implemented on that data to provide more data *** decrypt data,the cipher text will be reversed,salt will be removed,andXORwill be *** the end of the paper,the proposed algorithm will be compared with other algorithms,and it will conclude how much better the existing algorithm is than other algorithms.

关键词： Cryptography symmetric algorithm encryption decryption cipher text cloud security asymmetric algorithm

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Dialog History Management for End-to-End Task-oriented Dialog Systems 5

Dialog History Management for End-to-End Task-oriented Dialo...

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5th International Conference on computer Information Science and Artificial Intelligence, CISAI 2022

作者： Nie, Shijia Li, Guanjun Zhang, Xuesong Zhang, Dawei Tao, Jianhua Lv, Zhao School of Computer Science and Technology Anhui University Hefei230601 China NLPR Institute of Automation Chinese Academy of Sciences Beijing100098 China

ISBN: (纸本)9781510662520

End-to-end task-oriented dialogue systems rely heavily on an understanding of the dialog history. This often faces the challenge of inferring which dialog history information is critical to generating responses. In this paper, we address this challenge by leveraging a dialog history manager component that dynamically focuses on dialog history memory. It performs multiple add and forget operations by fusing an enhanced entity representation of dialog history and knowledge base (KB) information as queries, remembering entities relevant to responses and filtering out unimportant information. Experimental results on an open task-oriented dialogue dataset show that our model outperforms the baseline system in terms of effectiveness and produces contextually consistent responses. © 2023 SPIE.

关键词： Knowledge based systems

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SSCNet:learning-based subspace clustering

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Visual Intelligence 2024年第1期2卷 116-131页

作者： Xingyu Xie Jianlong Wu Guangcan Liu Zhouchen Lin National Key Lab of General AI School of Intelligence Science and TechnologyPeking UniversityBeijingChina School of Computer Science and Technology Harbin Institute of Technology(Shenzhen)ShenzhenChina School of Automation Southeast UniversityNanjingChina Institute for Artificial Intelligence Peking UniversityBeijingChina Peng Cheng Laboratory ShenzhenChina

Sparse subspace clustering(SSC),a seminal clustering method,has demonstrated remarkable performance by effectively solving the data sparsity ***,it is not without its *** among these is the difficulty of incremental learning with the original SSC,accompanied by a computationally demanding recalculation process that constrains its scalability to large ***,the conventional SSC framework considers dictionary construction,affinity matrix learning and clustering as separate stages,potentially leading to suboptimal dictionaries and affinity matrices for *** address these challenges,we present a novel clustering approach,called SSCNet,which leverages differentiable ***,we redefine and generalize the optimization procedure of the linearized alternating direction method of multipliers(ADMM),framing it as a multi-block deep neural network,where each block corresponds to a linearized ADMM iteration *** reformulation is used to address the SSC *** then use a shallow spectral embedding network as an unambiguous and differentiable module to approximate the eigenvalue ***,we incorporate a self-supervised structure to mitigate the non-differentiability inherent in k-means to achieve the final clustering *** essence,we assign unique objectives to different modules and jointly optimize all module parameters using stochastic gradient *** to the high efficiency of the optimization process,SSCNet can be easily applied to large-scale *** evaluations on several benchmarks confirm that our method outperforms traditional state-of-the-art approaches.

关键词： Subspace clustering Learning-based optimization Linearized alternating direction method of multipliers(ADMM) Differentiable low-rank decomposition

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Preventing Cloud Network from Spamming Attacks Using Cloudflare and KNN

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computers, Materials & Continua 2023年第2期74卷 2641-2659页

作者： Muhammad Nadeem Ali Arshad Saman Riaz SyedaWajiha Zahra Muhammad Rashid Shahab S.Band Amir Mosavi Department of Computer Science Abasyn UniversityIslamabad44000Pakistan Department of Computer Science National University of TechnologyIslamabad44000Pakistan Future Technology Research Center National Yunlin University of Science and TechnologyDouliuYunlin64002Taiwan Institute of Information Society University of Public ServiceBudapest1083Hungary John von Neumann Faculty of Informatics Obuda UniversityBudapestHungary Institute of Information Engineering Automation and MathematicsSlovak University of Technology in BratislavaSlovakia

Cloud computing is one of the most attractive and cost-saving models,which provides online services to *** computing allows the user to access data directly from any *** nowadays,cloud security is one of the biggest issues that *** types of malware are wreaking havoc on the *** on the cloud server are happening from both internal and external *** paper has developed a tool to prevent the cloud server from spamming *** an attacker attempts to use different spamming techniques on a cloud server,the attacker will be intercepted through two effective techniques:Cloudflare and K-nearest neighbors(KNN)*** will block those IP addresses that the attacker will use and prevent spamming ***,the KNN classifiers will determine which area the spammer belongs *** the end of the article,various prevention techniques for securing cloud servers will be discussed,a comparison will be made with different papers,a conclusion will be drawn based on different results.

关键词： Intrusion prevention system spamming KNN classification spam cyber security botnet

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A Simple Polynomial Time Algorithm for Max Cut on Laminar Geometric Intersection Graphs 42

A Simple Polynomial Time Algorithm for Max Cut on Laminar Ge...

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42nd IARCS Annual Conference on Foundations of Software technology and Theoretical computer Science, FSTTCS 2022

作者： Joshi, Utkarsh Rahul, Saladi Thoppil, Josson Joe Department of Computer Science and Automation Indian Institute of Science Bengaluru India Department of Information Technology National Institute of Technology Karnataka India

ISBN: (纸本)9783959772617

In a geometric intersection graph, given a collection of n geometric objects as input, each object corresponds to a vertex and there is an edge between two vertices if and only if the corresponding objects intersect. In this work, we present a somewhat surprising result: a polynomial time algorithm for max cut on laminar geometric intersection graphs. In a laminar geometric intersection graph, if two objects intersect, then one of them will completely lie inside the other. To the best of our knowledge, for max cut this is the first class of (non-trivial) geometric intersection graphs with an exact solution in polynomial time. Our algorithm uses a simple greedy strategy. However, proving its correctness requires non-trivial ideas. Next, we design almost-linear time algorithms (in terms of n) for laminar axis-aligned boxes by combining the properties of laminar objects with vertical ray shooting data structures. Note that the edge-set of the graph is not explicitly given as input;only the n geometric objects are given as input. © Utkarsh Joshi, Saladi Rahul, and Josson Joe Thoppil;licensed under Creative Commons License CC-BY 4.0.

关键词： Geometry

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Sampled-Data Iterative Learning Control for Linear Parabolic Distributed Parameter Systems with Event-Triggered Strategy

Sampled-Data Iterative Learning Control for Linear Parabolic...

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2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023

作者： He, Jun Dai, Xisheng Zhou, Rusheng School of Automation Guangxi University of Science and Technology Institute of Intelligent Systems and Control Guangxi University of Science and Technology Liuzhou China School of Computer Science and Technology Guangxi University of Science and Technology Liuzhou China

ISBN: (纸本)9798350309003

This paper focuses on the output trajectory tracking problem for linear parabolic distributed parameter systems (DPSs) using sampled-data iterative learning control (ILC) approach. In addition, in order to reduce the number of controller updates, an event-triggered control (ETC) method is introduced, in which the event triggering condition is generated by comparing the output error of the previous iteration batch. The convergence of the output error of the system at the sampling instant is analyzed through a rigorous mathematical proof process, which concludes that the system output error at the sampling instant converges along the direction of the iteration axis. Finally, numerical simulations are given to prove the effectiveness of the proposed method. © 2023 IEEE.

关键词： Iterative methods

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Pulse-Width Modulator Simulation 12

Pulse-Width Modulator Simulation

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12th International Conference on Advanced computer Information Technologies, ACIT 2022

作者： Nakonechnyi, Markian Ivakhiv, Orest Hirniak, Yurii Nakonechnyi, Yuriy Viter, Oleksandr Computer Technology Automation and Metrology Institute Lviv Polytechnic National University L'viv Ukraine

The pulse-width modulator is considered, its model at different frequencies of input and reference signals is compiled and studied in the Simulink environment. It is considered as the possible effective controller for... 详细信息

ISBN: (数字)9781665410502

ISBN: (纸本)9781665466479

关键词： Simulink

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Tracking system with a pulse-width modulator as controller simulation 16

Tracking system with a pulse-width modulator as controller s...

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16th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and computer Engineering, TCSET 2022

作者： Nakonechnyi, Markian Ivakhiv, Orest Hirniak, Yuriy Nakonechnyi, Yuriy Viter, Oleksandr Computer Technology Automation and Metrology Institute Lviv Polytechnic National University L'viv Ukraine

ISBN: (纸本)9781665468619

The tracking system with a pulse-width-modulation as controller for the DC motor with independent excitation simulation is the matter of this paper. There are considered different characteristics such as the angle and speed rotation of the motor shaft as the transition process on both a positive and a negative single jump at the input. © 2022 IEEE.

关键词： Controllers

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