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Optimized Evaluation of Mobile Base Station by Modern Topological Invariants

computers, Materials & Continua 2023年第1期74卷 363-378页

作者： Khalid Hamid Muhammad Waseem Iqbal Muhammad Usman Ashraf Ahmed Mohammed Alghamdi Adel A.Bahaddad Khalid Ali Almarhabi Department of Computer Science Superior UniversityLahore54000Pakistan Department of Software Engineering Superior UniversityLahore54000Pakistan Department of Computer Science GC Women UniversitySialkot53310Pakistan Department of Software Engineering College of Computer Science and EngineeringUniversity of Jeddah21493Saudi Arabia Department of Information System Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science College of Computing in Al-QunfudahUmm Al-Qura UniversityMakkah24381Saudi Arabia

Due to a tremendous increase in mobile traffic,mobile operators have started to restructure their networks to offload their *** directions will lead to fundamental changes in the design of future Fifthgeneration(5G)cellular *** the formal reason,the study solves the physical network of the mobile base station for the prediction of the best characteristics to develop an enhanced network with the help of graph *** number that can be uniquely calculated by a graph is known as a graph *** the last two decades,innumerable numerical graph invariants have been portrayed and used for correlation *** any case,no efficient assessment has been embraced to choose,how much these invariants are connected with a network *** paper will talk about two unique variations of the hexagonal graph with great capability of forecasting in the field of optimized mobile base station topology in setting with physical *** K-banhatti sombor invariants(KBSO)and Contrharmonic-quadratic invariants(CQIs)are newly introduced and have various expectation characteristics for various variations of hexagonal graphs or *** the hexagonal networks are used in mobile base stations in layered,forms called *** review settled the topology of a hexagon of two distinct sorts with two invariants KBSO and CQIs and their reduced *** deduced outcomes can be utilized for the modeling of mobile cellular networks,multiprocessors interconnections,microchips,chemical compound synthesis and memory interconnection *** results find sharp upper bounds and lower bounds of the honeycomb network to utilize the Mobile base station network(MBSN)for the high load of traffic and minimal traffic also.

关键词： Hexagonal networks k-banhatti sombor invariants maple network graph artificial intelligence contraharmonic-quadratic invariants honeycomb

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Hyperchaos and MD5 Based Efficient Color Image Cipher

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computers, Materials & Continua 2022年第7期72卷 1645-1670页

作者： Muhammad Samiullah Waqar Aslam Saima Sadiq Arif Mehmood Gyu Sang Choi Department of Computer Science&IT The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Science Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

While designing and developing encryption algorithms for text and images,the main focus has remained on *** has led to insufficient attention on the improvement of encryption efficiency,enhancement of hyperchaotic sequence randomness,and dynamic DNA-based *** this regard,a new symmetric block cipher scheme has been *** uses dynamic DNA-based S-box connected with MD5 and a hyperchaotic system to produce confusion and diffusion for encrypting color *** proposed scheme supports various size color *** generates three DNA based Sboxes for substitution namely DNA_1_s-box,DNA_2_s-box and DNA_3_sbox,each of size 16×***,the 4D hyperchaotic system followed by MD5 is employed in a novel way to enhance *** three DNAbased S-boxes are generated from real DNA sequences taken from National Center for Biotechnology information(NCBI)databases and are dependent on the mean intensity value of an input image,thus effectively introducing content-based ***,Conservative Site-Specific Recombination(CSSR)is applied on the output DNA received from DNA based *** experimental results indicate that the proposed encryption scheme is more secure,robust,and computationally efficient than some of the recently published similar *** computational efficient,our proposed scheme is feasible on many emergent resource-constrained platforms.

关键词： Block cipher substitution permutation diffusion confusion

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Examining the Challenges in Implementing AI-Driven Systems for Automated Data Science 15

Examining the Challenges in Implementing AI-Driven Systems f...

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

作者： Vanaja, T. Shelke, Priya M. Gautam, Sandeep Yadav, Rakesh Kumar Chowhan, Santosh Ravivarman, G. Department of Information Technology Prince Shri Venkateshwara Padmavathy Engineering College Chennai India Department of Information Technology Vishwakarma Institute of Technology Pune India Department of Computer Science & Engineering Vivekananda Global University Jaipur India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Karnataka BangaloreEmail India Department of Electrical and Electronics Engineering Karpagam Academy of Higher Education Coimbatore641021 India

ISBN: (纸本)9798350370249

this paper provides an overview brand new the contemporary in employing synthetic Intelligence (AI) strategies to automate statistics technological know-how procedures. It highlights state-of-the-art the demanding situations related to the mixing of those structures with current infrastructure and implementations, as well as ability solutions. It also outlines the significance trendy thinking about a broad range latest AI-driven system, which include supervised and unsupervised studying, Deep Neural network (DNN) architectures, version-based reinforcement present day, and lively state-of-the-art. The paper in addition discusses how every of these systems can be used to automate sure components modern the records technology system, and the way their use can bring about stronger accuracy and effectiveness brand new records science operations. In the end, it evaluates latest the important thing concerns which want to be taken into account while defining and implementing an AI-pushed device for computerized information technological know-how. ©20XX IEEE.

关键词： Network architecture

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The Challenges and Opportunities of Cloud Security as a Service for Enhancing IoT Security

The Challenges and Opportunities of Cloud Security as a Serv...

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2023 IEEE International Conference on Paradigm Shift in information Technologies with Innovative Applications in Global Scenario, ICPSITIAGS 2023

作者： Mandal, Sanjeev Kumar Hemelatha, S. Sasirekha, R. Chavan, Gurunath T. Kaneria, Ojasvee Jaffar, A Mohamed Department of Computer Science and Information Technology Karnataka Bangalore India Karpagam Academy of Higher Education Department of Computer Science Engineering Coimbatore India Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering Chennai India Vishwakarma Institute of Information Technology Department of Information Technology Pune India Vivekananda Global University Department of Computer Science & Engineering Jaipur India Atlas SkillTech University Department of Isme Maharastra Mumbai India

ISBN: (纸本)9798350329773

The internet of things (Iota) has had a remarkable impact on modern lifestyles, revolutionizing the way we display, communicate, and have interaction with the sector round us. In conjunction with this new generation, but, come new challenges for organizations in terms of safety. Iota devices frequently lack the security features wished for defensive towards cyber attacks and statistics robbery, leaving them prone to malicious actors. Cloud safety as a carrier (Cases) might also provide the solution to those challenges, via providing a more suitable layer of protection for Iota networks. This new sort of protection answer utilizes cloud-based technologies to provide comfortable get admission to, multi-thing authentication, safety analytics, and strong management abilities for Iota networks. With the aid of imparting this comfy environment, Cases can offer organizations with the warranty that their Iota information can remain comfortable, even within the face of ever-evolving cyber threats. At the identical time, however, heavily investing in Cases increases a number of questions. Factoring in implementation fees, compliance requirements, and commercial enterprise goals may be a daunting task for corporations, and Cases might not always offer a greatest solution. It's vital for businesses to correctly determine their safety necessities when thinking about Cases, and to understand the benefits. © 2023 IEEE.

关键词： Cybersecurity

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On Detection of Hardware Trojan in Memristive Nanocrossbar-Based Circuits 3rd

On Detection of Hardware Trojan in Memristive Nanocrossbar-B...

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The 3rd International Conference on Frontiers in Computing and Systems (COMSYS 2022)

作者： Basu, Subhashree Ghoshal, Ranjit Kule, Malay Department of Information Technology St. Thomas’ College of Engineering and Technology Kidderpore Kolkata India Department of Computer Science and Technology Indian Institute of Engineering Science and Technology Shibpur India

ISBN: (纸本)9789819926794

Chip fabrication outsourcing can lead to malicious modifications by third-party companies and could pose a grave danger to the chip’s security and reliability. Such changes in the functionality of the IC or the addition of extra features is known as Hardware Trojan which cannot be detected by design-time verification and post-fabrication testing. Hence, methods of identification of Hardware Trojan are not only tedious but sometimes futile. Though some techniques have been designed, they are only for Trojan detection. There is as such no way to eliminate the Trojan. Not only that, but some of these methods also impart the chip unusable. In this paper, we study the insertion and detection of Trojan in a BCD square root circuit implemented in a memristive nanocrossbar. First, we insert the active and passive Trojan, and then we discuss the methods of identifying the Trojans therein. The experimental results obtained in our work are satisfactory and prove the correctness of the proposed method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Hardware security

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Detection of Perfect Stealthy Attacks on Cyber-Physical Systems Subject to Measurement Quantizations: A Watermark-Based Strategy

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 114-125页

作者： Yu-Ang Wang Zidong Wang Lei Zou Bo Shen Hongli Dong the College of Information Science and Technology Donghua University the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of Education IEEE the College of Electrical Engineering and Automation Shandong University of Science and Technology the Department of Computer Science Brunel University London Uxbridge the Sanya Offshore Oil and Gas Research Institute Northeast Petroleum University the Artificial Intelligence Energy Research Institute Northeast Petroleum University Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum University

In this paper, the attack detection problem is investigated for a class of closed-loop systems subjected to unknownbutbounded noises in the presence of stealthy attacks. The measurement outputs from the sensors are quantized before transmission.A specific type of perfect stealthy attack, which meets certain rather stringent conditions, is taken into account. Such attacks could be injected by adversaries into both the sensor-toestimator and controller-to-actuator channels, with the aim of disrupting the normal data flow. For the purpose of defending against these perfect stealthy attacks, a novel scheme based on watermarks is developed. This scheme includes the injection of watermarks(applied to data prior to quantization) and the recovery of data(implemented before the data reaches the estimator).The watermark-based scheme is designed to be both timevarying and hidden from adversaries through incorporating a time-varying and bounded watermark signal. Subsequently, a watermark-based attack detection strategy is proposed which thoroughly considers the characteristics of perfect stealthy attacks,thereby ensuring that an alarm is activated upon the occurrence of such attacks. An example is provided to demonstrate the efficacy of the proposed mechanism for detecting attacks.

关键词： Attack detection cyber-physical systems (CPSs) perfect stealthy attacks watermark-based strategy

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Decoding and Analysing Consumer Feedback for Companies and Goods using Machine Learning 3

Decoding and Analysing Consumer Feedback for Companies and G...

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3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Joel, M. Robinson Ebenezer, V. Jeyaraj, K. Arul Navaneethakrishnan, M. Arunadevi, R. Jenifa, D. Rejees Kings Engineering College Department of Information Technology Chennai India Department of Computer Science and Engineering Coimbatore India St. Joseph College of Engineering Sriperumbudur Department of Computer Science and Engineering Chennai India Technology Prince Shri Venkateshwara Padmavati Engineering College Department of Information Chennai India Psna College of Engineering and Technology Department of Ece Dindigul India

ISBN: (纸本)9781665462167

Over the past ten years, the number of internet users has increased tremendously. Due to the e- commerce industry's fast growth, practically all goods are now sold online. Before making a purchasing choice, the customer gets comprehensive information on the items they are interested in. Customer opinions and reviews assist businesses and other consumers in making wise decisions and enhancing the purchasing experience. It is getting harder to comprehend and keep track of every customer's wants since the number of individuals leaving evaluations is increasing quickly. Some evaluations, which make it more time-consuming and challenging to analyse for business, are purposefully overly lengthy, unclear, incomplete, and short. A customer Feedback Evaluation System is needed to address this issue since it will track every one of those evaluations and offer statistical data for improving the manufacturer's quality and functionality. The suggested approach uses machine learning to give each word a certain amount of weight. © 2023 IEEE.

关键词： Support vector machines

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Kathakali Mudras: An AI-Enhanced Predictive Approach 11

Kathakali Mudras: An AI-Enhanced Predictive Approach

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11th International Conference on Soft Computing and Machine Intelligence, ISCMI 2024

作者： Mulerikkal, Jaison Paul Janani, K. Sreelakshmi, P.S. James, Divya Lakshmi, K.S. Sajanraj, T.D. Binu, A. Department of Information Technology India Rajagiri School of Engineering & Technology Kochi India Department of Computer Science and Engineering India Department of Computer Science and Business Systems India Department of Artificial Intelligence and Data Science India Department of Computer Science Loughborough University Leicester United Kingdom

ISBN: (纸本)9798331518127

The goal of this research is to integrate an artificial intelligence framework for predicting Kathakali mudras, a crucial component of the traditional Indian dance style that is renowned for its complex hand and facial motions. Our goal is to protect and improve the accessibility of this traditional art form by utilising deep learning technology. To be more precise, we used the object identification model YOLOv8 together with convolutional neural networks (CNNs) like VGG 19, Inception V3, and ResNet 152 to predict and analyse Kathakali mudras. Furthermore, Few-shot learning (FSL) and support vector machines (SVMs) were used to offer a comparative viewpoint on the efficacy of machine learning method in this situation. The study entailed a thorough analysis of how well-performing different deep learning techniques performed. The predictive accuracy of VGG 19, Inception V3, and ResNet 152 for intricate mudras of Kathakali was subjected to a thorough evaluation process. In addition, an evaluation of YOLOv8's real-time object identification capabilities was conducted in order to investigate its potential in live performance circumstances. The results of the experiment showed that VGG 19 performed better than the other models and had the highest accuracy in mudra prediction. As a result, VGG 19 was chosen as the best algorithm for this particular application. The results of this study demonstrate how artificial intelligence (AI) technologies may support and preserve traditional artistic forms. This AI-integrated framework is a useful tool for scholars, educators, and dancers, promoting a deeper knowledge and enjoyment of this cultural legacy through its accurate analysis and prediction of Kathakali mudras. © 2024 IEEE.

关键词： Convolutional neural networks

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Medical Reports Simplification Using Large Language Models 23th

Medical Reports Simplification Using Large Language Models

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23rd International Conference on Intelligent Systems Design and Applications, ISDA 2023

作者： Almezhghwi, Khaled Hassan, Morad Ali Ghadedo, Adel Belhaj, Fairouz Shwehdi, Rabei Electrical and Electronics Engineering College of Electronics Technology Tripoli Tripoli Libya Computer Science Bani Waleed University Bani Waleed Libya Computer Science College of Electronics Technology Tripoli Tripoli Libya Computer Information Systems Higher Institute of Science and Technology Tripoli Libya Electrical and Electronics Engineering College of Electronics Technology Tripoli Tripoli Libya

ISBN: (纸本)9783031648120

Making medical reports easily understandable for a wider audience is a significant endeavor, and the recent advancements in deep learning and large language models offer a promising solution. In our research, we have introduced a fine-tuned Text-to-Text Transformer (T5) model to efficiently summarize these medical reports. Our model is trained and assessed on the publicly accessible Indiana Dataset. To gauge its effectiveness, we employ the ROUGE metrics. The outcomes we've achieved hold promise for the potential of this approach in enhancing medical report summarization. By harnessing the power of cutting-edge technology, we aim to make medical information more accessible and comprehensible to everyone. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Deep learning

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Analyzing Employee Retention Factors using Machine Learning 4

Analyzing Employee Retention Factors using Machine Learning

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4th International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Rahman, Moshiur Islam, Md Rashedul Bala, Partho Sattar, Abdus Daffodil International University Department of Management Information System Daffodil Smart City Dhaka Bangladesh Daffodil Institute of Information and Technology Department of Computer Science and Engineering Dhanmondi Dhaka Bangladesh Bangabandhu Sheikh Mujibur Rahman Science and Technology University Department of Computer Science and Engineering Dhaka8100 Bangladesh Daffodil International University Department of Computer Science and Engineering Daffodil Smart City Dhaka Bangladesh

ISBN: (纸本)9798350343670

This research proposal aims to employ machine learning techniques to analyze employee retention factors in Software Companies, recognizing its crucial role in organizational success and the potential costs of high turnover rates. Through Watson Analytics' advanced analytics capabilities, the study seeks to identify key factors contributing to employee attrition and retention, culminating in the development of a predictive model using machine learning algorithms. The outcomes are expected to include actionable recommendations to improve retention strategies, insights into the relative importance of different factors, and the creation of a data- driven, proactive talent management approach for Software Companies. By empowering organizations to retain top talent and fostering a positive work environment, this research envisions a transformative impact on long-term success and performance. © 2024 IEEE.

关键词： Artificial Intelligence Data Science Deep Learning Machine Learning Monitoring Smartphone Sensors

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