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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Balaji, N.V. Grover, Madhur Vignesh, T. Seth, Kanika Gopalakrishna, K. Kolekar, Vikas K. Karpagam Academy of Higher Education Department of Computer Science Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140417 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering Chennai127 India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India School of Engineering and Technology Electronics and Communication Engineering Karnataka Bangalore India Vishwakarma Institute of Technology Department of Computer Engineering Pune India

ISBN: (纸本)9798350370249

The motive of this technical summary is to have a look at the performance of interference-conscious routing protocols for wireless Mesh Networks (WMNs). Interferenceconscious routing models help to lessen interference among WMN nodes associated with transmissions at the identical frequency channel. This type of interference can degrade the throughput of a network and reduce communication performance. The efficacy of a routing protocol is typically measured via parameters consisting of packet transport ratio, throughput, and end-to-stop delay. This AC will compare and assess unique algorithms for interference-conscious routing and evaluate their overall performance in terms of these parameters. Initial simulations will be carried out on diverse topologies of WMNs to determine the effect of interference-aware routing protocols on packet delivery ratio, throughput, and stop-to-stop put-off. The outcomes may be used to put together an assessment among exceptional algorithms and determine the most effective technique. In addition, the abstract will discover approaches to optimize the layout of interference-conscious routing protocols to attain the most green conversation overall performance. Subsequently, the paper will finish with a dialogue of capability demanding situations and important future studies guidelines in this area. © 2024 IEEE.

关键词： Mesh generation

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A Comprehensive Evaluation of Q-Learning Based Automatic Web GUI Testing 10

A Comprehensive Evaluation of Q-Learning Based Automatic Web...

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10th International Conference on Dependable Systems and Their Applications, DSA 2023

作者： Fan, Yujia Wang, Siyi Wang, Sinan Liu, Yepang Wen, Guoyao Rong, Qi Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen China Southern University of Science and Technology Research Institute of Trustworthy Autonomous Systems Shenzhen China Huawei Inc China

ISBN: (纸本)9798350304770

Recently, reinforcement learning (RL) based automatic Web GUI testing techniques are gaining popularity in both academia and industry as they can enable more intelligent exploration of web applications' states. However, the existing RL-based techniques often incorporate special features, such as DFA-guided state recovery or contextual input data generation, making the effectiveness of RL itself unclear. Moreover, while these techniques mostly employ Q-learning (QL), a model-free RL method, they were evaluated with different experimental settings, which could lead to unfair comparisons. Motivated by the two observations, we propose a generic QL-based automatic Web GUI testing framework, and conduct the first systematic evaluation, which considers four QL specific configurations, on two open-source benchmark web applications and one industrial portal website. Based on the experimental results, we discuss several findings regarding the effectiveness of QL-based automatic GUI testing. We believe that our findings can provide useful guidance to industrial practitioners and shed light on future research on leveraging RL to improve automatic Web GUI testing. © 2023 IEEE.

关键词： Reinforcement learning

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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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Low-disturbance Nonlinear Control of TBM Cutterhead Speed in Coal Mine Tunneling 50

Low-disturbance Nonlinear Control of TBM Cutterhead Speed in...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Liu, Nannan Wang, Tong Wang, Jianmin Fan, Yingda School of Electronic and Information Engineering Ningbo University of Technology Ningbo China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China Department of Computer Science University of Pittsburgh Pittsburgh United States

ISBN: (纸本)9781665464543

To minimize the disturbance of the Tunnel Boring Machine (TBM) cutterhead on the surrounding rock during the coal mine roadway excavation process and ensure that the cutterhead rotation speed achieves fast tracking performance with minimal overshoot, we propose a direct adaptive robust control method for the cutterhead rotation speed hydraulic system based on inversion design. This method considers the strong disturbances such as loads and motion affecting the cutterhead hydraulic drive system, as well as the uncertainties in the cutterhead model. We establish the nonlinear model of the cutterhead hydraulic drive system and employ virtual control to reduce the model order. Using Lyapunov functions, we ensure the stability of the entire system and derive the control law for the cutterhead rotation speed controller, along with parameter-adaptive laws acting as parameter estimators. We validate the effectiveness of the proposed control strategy through joint simulation using AMESim and Simulink. The results show that the designed cutterhead rotation speed controller achieves high tracking accuracy and good adaptability. © 2024 IEEE.

关键词： Hydraulic drives

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Digital image watermarking based on visual secret sharing scheme 8

Digital image watermarking based on visual secret sharing sc...

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8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022

作者： Nakhawa, Tabassum Nadaph, Anisaara Narang, Geetika Maske, Rupali Computer Engineering Trinity College of Engineering and Research Pune India Computer Engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (纸本)9781665408165

Orthodox, VSS, visual secret sharing scheme to conceal hidden images of the spots, or printed out on trans-parencies or are encoded and stored in a digital format, so the audio/video, the lyrics. Stains and spots, what a noise-like pixels or as meaningful images may look like it, but this will cause the time and increase the risk of disruptions in the maintenance and transmission of the process. Therefore, in the traditional system of the visual secret sharing, this will create a problem for the possibility of transmitting the secret to himself and to the members of the group, which is involved in the VSS system. In order to solve this problem, we proposed new techniques in the field of the digital watermark on the images, with the help of a texture image, as well as a system for the visual and the replacement of the natural image, the secrets of the VSS of the hidden, the images with the help of different vehicles in order to protect the confidentiality of communications, and the participants during the transmission phase. We combine a process for the synthesis of a digital image as the textures in order to hide the secret message. Instead of using the existing cover image to hide secret messages, our algorithm conceals the original texture of the image and the codes of the secret message by means of a process of watermark or digital images. Natural resources can be pictures, it can be in any form, in both digital and printed media. We also offer the opportunity to hide in the secret, in order to reduce the risks of transmission of notices of default is AES-advanced encryption algorithm. The results show that the proposed method is an obvious way to solve this problem at the risk of the transmission SCD systems, as well as the concern for the reliability of the system. An alphabetical index of terms, information security, information Security, visual secret in exchange programs, as well as a watermark for digital images. © 2022 IEEE.

关键词： Cryptography

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Fun as Moderate Divergence: Evaluating Experience-Driven PCG via RL

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IEEE Transactions on Games 2024年第2期17卷 360-373页

作者： Wang, Ziqi Li, Yuchen Du, Haocheng Liu, Jialin Yannakakis, Georgios N. Research Institute of Trustworthy Autonomous System Shenzhen518055 China Southern University of Science and Technology Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering Shenzhen518055 China Southern University of Science and Technology Shenzhen518055 China Tsinghua Shenzhen International Graduate School Shenzhen518055 China University of Malta Institute of Digital Games Msida2080 Malta

The computational modelling of player experience is key to the generation of personalised game content. The notion of fun, as one of the most peculiar and core aspects of game experience, has often been modelled and quantified for the purpose of content generation with varying success. Recently, measures of a player's fun have been ad-hoc designed to model moderate levels of in-game divergence in platformer games, inspired by Koster's theory of fun. Such measures have shaped the reward functions of game content generative methods following the experience-driven procedural content generation via reinforcement learning (EDRL) paradigm in Super Mario Bros. In this paper, we present a comprehensive user study involving over 90 participants with a dual purpose: to evaluate the ad-hoc fun metrics introduced in the literature and test the effectiveness of the EDRL framework to generate personalised fun Super Mario Bros experiences in an online fashion. Our key findings suggest that moderate degrees of game level and gameplay divergence are highly consistent with the perceived notion of fun of our participants, cross-verifying the ad-hoc designed fun metrics. On the other hand, it appears that EDRL generators manage to match the preferred (i.e., fun) game experiences of each persona, only in part and for some players. Our findings suggest that the use of multi-faceted in-game data, such as events and actions, will likely enable the modelling of more nuanced gameplay behaviours. Additionally, the verification of player persona modelling and the enhancement of player engagement through dynamic experience modelling are suggested as potential future directions. © 2024 IEEE.

关键词： Digital elevation model

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The Impact of AI-Driven Personalization on Customer Loyalty: A Meta-Analysis of E-commerce Studies 2

The Impact of AI-Driven Personalization on Customer Loyalty:...

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2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry, IDICAIEI 2024

作者： Arora, Amishi Kapale, Rahul Sharma, Pratyush Nalavade, Maitreya Saifee, Mubina Ukey, Manda Central Institute of Business Management Research and Development Nagpur India Priyadarshini Lokmanya Tilak of Management Studies and Research Nagpur India Vellore Institute of Technology School of Computer Science and Engineering Vellore India Symbiosis Sspu Pune India Jhulelal Institute of Technology Department of Business Administration Nagpur India Ramdeobaba University Department of Computer Science and Applications Nagpur India

ISBN: (纸本)9798331528713

Artificial intelligence (AI) has changed the way e-commerce works by making it possible to provide unique experiences to a huge number of customers. This review looks at how AI-driven personalization affects customer trust in a number of different e-commerce studies. Putting together the results of several research papers, this study gives a full picture of how well AI works and what it means for increasing customer trust in online stores. The studies were chosen because they had something to do with how AI-driven customizing changes customer behavior and trust measures. The results show that there is a strong link between AI-driven customization and customer trust in online shopping. Personalized suggestions based on AI algorithms were shown in multiple studies to make customers happier, get them to buy from you again, and build long-term ties with them. AI-powered customization of user interfaces and content delivery made the experiences of users better, which increased interest and decreased return rates. The meta-analysis also found a number of factors that affect how well AI-driven personalization works. © 2024 IEEE.

关键词： Marketplaces

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CFCS:A Robust and Efficient Collaboration Framework for Automatic Modulation Recognition

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Journal of Communications and Information Networks 2023年第3期8卷 283-294页

作者： Jian Shi Xiaohui Yang Jia Ma Guangxue Yue Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province Jiaxing 314001China School of Computer Engineering and Science Shanghai UniversityShanghai 200444China Research Center of Cyber Science and Technology Hangzhou Innovation InstituteBeihang UniversityHangzhou 311228China College of Information Science and Engineering Jiaxing UniversityJiaxing 314001China

Most of the existing automatic modulation recognition(AMR)studies focus on optimizing the network structure to improve performance,without fully considering cooperation among the basic networks to play their respective *** this paper,we propose a robust and efficient collaboration framework based on the combination scheme(CFCS).This scheme effectively explores the spatial and temporal characteristics of complex signals by associating the advantages of convolutional neural network(CNN)and long and short-term memory(LSTM)*** addition,the robustness of the CFCS is verified by transfer *** demonstrate that the recognition rate of CFCS for highorder modulation signals such as 64QAM,128QAM,and 256QAM is more than 90%at high signal-to-noise ratios(SNRs),and 24 modulation types are effectively ***,CFCS was transferred from RML2018.01a to RML2016.10b using transfer learning,which can still be deployed efficiently while reducing the training time by 20%.The CFCS has strong generalization ability and excellent recognition performance.

关键词： AMR CNN LSTM combination scheme transfer learning

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HHO-ACO hybridized load balancing technique in cloud computing

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International Journal of Information technology (Singapore) 2023年第3期15卷 1357-1365页

作者： Sumathi, Muruganandam Vijayaraj, Natarajan Raja, Soosaimarian Peter Rajkamal, Murugesan School of Computing SASTRA Deemed University Tamil Nadu Thanjavur India Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala Research and Development Institute of Science and Technology Tamil Nadu Chennai India School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore India IBM Karnataka Bangalore India

Due to on-demand requirement of computing resources, cloud computing (CC) is the widely used technology in data storage, software and platform. CC provides everything as a service to requester. In an Infrastructure as... 详细信息

Due to on-demand requirement of computing resources, cloud computing (C_C) is the widely used technology in data storage, software and platform. C_C provides everything as a service to requester. In an Infrastructure as a Service (IaaS), virtual machines (VMs) play a vital role to provide infrastructure to the requester. The performance VMs depends on the distribution of work (load balancing) between VMs. The process of distributing a set of tasks or workloads over a set of VM resources is called as Load Balancing (LB). Unbalanced task distribution leads to overloaded or under-loaded issues and performance degradation. Hence, LB is a desirable and essential task in C_C. To improve the LB performance the two different meta-heuristic optimization algorithms, Harries Hawks Optimization (HHO) and Ant Colony Optimization (ACO) are hybridized in the proposed technique. The hybridized load balancing (HLB) algorithm performance is compared to HHO and ACO. The factors that are analyzed in the proposed system are the average waiting time (A_WT), average execution time (A_ET), average response time (A_RT), make-span, throughput analysis, turnaround time and LB time. The HLB mechanism is implemented and simulated in java and Cloudsim respectively. By the allocation of workloads to VMs will shows which one gives the best efficiency in LB among the VM’s. The proposed HLB technique takes 9.29% A_ET, 2.65% of A_RT, 0% of A_WT, less turnaround time and LB time than the basic HHO and ACO algorithms. Thus, the proposed HLB provided better performance than HHO and ACO is proven with different performance metrics. © 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's institute of computer Applications and Management.

关键词： Ant colony optimization Cloud computing Harries haws optimization Hybridized load balancing Virtual machine

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Enhancing Road Safety and User Experience through Intelligent Tollgate Systems and Vehicular Communication Networks 5

Enhancing Road Safety and User Experience through Intelligen...

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5th International Conference on Image Processing and Capsule Networks, ICIPCN 2024

作者： Jebaraj, Bharath Singh Nasreen, M.Ayeesha Sushmitha, S. Azarudeen, A. Subha, T.D. Vivekrabinson, V. Kalasalingam Academy of Research and Educatuion Department of Computer Science and Engineeing Sriviliputhur India R.M.D. Engineering College Department of Electronics and Communication Engineering Thiruvallur India Rajalakshmi Institute of Technology Department of Electronics and Communication Engineering Tamil Nadu India Velammal College of Engineering and Technology Department of Computer Science and Engineering Madurai India R.M.K. Engineering College Thiruvallur Department of Electronics and Communication Engineering Thiruvallur India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamil Nadu India

ISBN: (纸本)9798350367171

The automotive industry's growth, fueled by technology and job opportunities, has heightened global automobile sales. Despite this progress, road safety remains a concern, with numerous lives lost in car accidents annually. To address this, Vehicle-to-Vehicle (V2V) communication emerges, enhancing road safety through real-time information exchange. Roadside Communication Units (RCUs) provide vital services, offering traffic updates, weather notifications, and immediate alerts about incidents. Intelligent tollgate systems in vehicles streamline transactions, and speed control systems ensure safer driving. Leveraging Zigbee technology enables seamless communication with toll plazas, improving traffic flow. This study aims to enhance road safety through intelligent tollgate systems, V2V communication, and innovative technologies, emphasizing their potential to optimize traffic flow and provide a more comfortable driving experience. Identified are future research directions and development opportunities in this dynamic field. © 2024 IEEE.

关键词： Zigbee

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