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3rd International Conference on Technological Advancements in Computational Sciences, ICTACS 2023

作者： Ritika Kumari, Seema Manwal, Manika Singh, Samender Kumari, Sony Gl Bajaj Institute of Technology and Management Information Technology UP Greater Noida India Ims Engineering College Computer Science & Engineering UP Ghaziabad India Graphic Era Hill University Computer Science & Engineering Dehradun India Ajay Kumar Garg Engineering College Computer Science & Engineering UP Ghaziabad India ABES Engineering College CSE-AIML UP Ghaziabad India

ISBN: (纸本)9798350342338

This study looks at exploring the overall performance of the DHKE set of rules over distinctive network topologies in cryptography networks. The purpose turned into identifying the topologies that had the very best performance with the DHKEA with appreciation to essential exchange time and protection. The critical alternate time was quantified by measuring the time it took a person to alternate keys with any other consumer. Security becomes measured by figuring out the forms of assaults that were mitigated using the network topology. Three types of networks had been tested: megastar topology, Bus topology, and Mesh topology. It became discovered that the famous person topology had first-rate performance in phrases of crucial exchange time, while the Mesh topology had high-quality security in opposition to assaults. Moreover, it was determined that the DHKEA worked nicely over all the examined topologies, enhancing overall performance because the network size multiplied. The results of this observation can be used to inform network administrators in selecting suitable topologies to reinforce the security of crucial changes in the provisioning of cryptography networks. © 2023 IEEE.

关键词： algorithm cryptography key exchange network security topology

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Simulation Experiments of a Distributed Fault Containment algorithm Using Randomized Scheduler 1

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1st International Conference on Advanced Communication and Intelligent Systems, ICACIS 2022

作者： Dasgupta, Anurag Tan, David Majumder, Koushik Valdosta State University Valdosta31698 United States Maulana Abul Kalam Azad University of Technology West Bengal Kolkata700064 India

ISBN: (数字)9783031250880

ISBN: (纸本)9783031250873

Fault containment is a critical component of stabilizing distributed systems. A distributed system is termed stabilizing (or self-stabilizing) if it exhibits two properties – a) convergence: a finite sequence of moves leading to a stable configuration, and b) closure: the system remains in that legitimate state unless another fault hits. In today’s world, the likelihood of several failures is quite low, and a single fault is far more likely to occur. The results of simulation experiment we did for single failure instances are presented in this study. For node selection, we employed a randomized scheduler. The results show that the fault containment mechanism we used restores valid configurations after a transient fault. The studies took into account variations in the number of nodes and the degree of the malfunctioning node. The results were graphically and numerically presented to provide relevant information. We can learn about the efficiency of our method by analyzing the simulation outcomes. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： algorithm Distributed systems Fault containment Simulation Stabilization

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Research On Unmanned Multi-Vehicle Cooperative Path Planning algorithm 5

Research On Unmanned Multi-Vehicle Cooperative Path Planning...

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5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023

作者： Mo, Liye Leng, Sixuan Lin, Xingzhi Pan, Xiang GuangXi Vocational Normal University Guangxi Nanning China

ISBN: (纸本)9798350357950

Aiming at the technical problems of dynamic adjustment and path planning in the process of unmanned multi-vehicle cooperation, the research of path planning algorithm, optimization algorithm, and path planning algorithm based on optimization algorithm was carried out from three aspects: algorithm principle, algorithm design, and algorithm experiments, and the technical methods such as the A∗ algorithm, DWA algorithm, and fusion algorithm were applied to realize efficient path planning and dynamic adjustment. The simulation model of the path planning algorithm was applied to carry out the unmanned multi-vehicle cooperative path planning algorithm experiments, and the results show that the DWA fusion A∗ algorithm as the technical solution of the unmanned multi-vehicle cooperative path planning algorithm is feasible. © 2023 IEEE.

关键词： A algorithm component fusion algorithm path planning self-driving

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A STUDY ON OPTIMAL FLIGHT PATH algorithm OF ULTRA-LIGHT FLIGHT DEVICES FOR DYNAMIC INFORMATION OBSERVATION IN URBAN AREAS 44

A STUDY ON OPTIMAL FLIGHT PATH ALGORITHM OF ULTRA-LIGHT FLIG...

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44th Asian Conference on Remote Sensing, ACRS 2023

作者： Ki, Sung Hong Soo, Chong Kyu Hee, Youn Jun Korea Institute of Civil Engineering and Building Technology 283 Goyang-daero Ilsanseo-gu Gyeonggi-do Goyang-si10223 Korea Republic of

ISBN: (纸本)9781713893646

In order to observe dynamic information such as vehicles, pedestrians, and PM(Personal Mobility) using ultra-light flight devices in urban areas, it is essential to design an optimal flight path that comprehensively considers flight safety, accuracy of observation data, and flight efficiency. Accordingly, this paper proposes an optimal flight path algorithm for ultra-light flight devices for observing dynamic information in urban areas. For this purpose, flight strategies and limiting conditions in urban areas were reviewed. The optimal flight path algorithm was designed by dividing into a z-axis path that determines the flight altitude and an x- and y-axis path that determines the flight path in a two-dimensional plane. © 2023 ACRS. All Rights Reserved.

关键词： algorithm Dynamic information Flight path Ultra-Light flight device Urban areas

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Spam Sorting Based on Naive Bayes algorithm 6

Spam Sorting Based on Naive Bayes Algorithm

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6th International Conference on Blockchain Technology and Applications, ICBTA 2023

作者： Gao, Hang School of Telecommunications Engineering Xidian University 710126 China

ISBN: (纸本)9798350317404

The primary objective of this research is to classify spam, with the aim of mitigating the potential infringement on personal privacy resulting from spam. The categorization of spam messages involves the utilization of the Naive Bayes algorithm, which employs the principles of Bayes' Theorem and conditional independence assumptions to calculate and compare probabilities for classification purposes. The accuracy of spam categorization in the test is 98.3%, achieved by the implementation of Laplace smoothing and logarithmic accumulation techniques. The application of Naive Bayes for spam classification has several advantages, including the reduction of complexity associated with Bayes' Theorem, simplification of the procedure, decreased input requirements, and consistent classification accuracy and efficiency. © 2023 IEEE.

关键词： algorithm Naive Bayes Spam

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Optimization of the path planning model through integration of improved RRT∗algorithm and ACO algorithm 6

Optimization of the path planning model through integration ...

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6th IEEE International Conference on Automation, Electronics and Electrical Engineering, AUTEEE 2023

作者： Zhao, Xiyao Tianjin University of Technology Tianjin China

ISBN: (纸本)9798350305623

Path planning is an important part of AUV (Autonomous Underwater Vehicle) exploration system. The path planning of AUV should consider the optimization goal of the path, the path environment, the terrain and obstacles, and the performance constraints of the robot itself. This path planning problem can be solved by various algorithms, but the commonly used algorithms often have many problems. Therefore, aiming at the problems of long sampling time, large amount of calculation and too random path planning results of RRT∗ algorithm, a multi-strategy improved NTDRRT∗ algorithm is proposed. Aiming at the problem that ACO algorithm is easy to fall into local optimum and slow convergence speed, a multi-strategy improved HPACO algorithm is proposed. The NTDRRT∗ algorithm and the HPACO algorithm are combined to form a hybrid improved algorithm, and an AUV path planning model is proposed based on this. Through experimental verification, the hybrid path planning algorithm proposed in this paper has achieved good results in search efficiency, global convergence and solution quality. The research content and results of this paper have certain reference value for improving the efficiency and accuracy of AUV path planning, and have made certain contributions to the development of AUV technology, and can also provide reference and inspiration for research in related fields. © 2023 IEEE.

关键词： ACO algorithm algorithm Path planning RRT

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Seven Sisters Optimization algorithm 2

Seven Sisters Optimization Algorithm

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2nd IEEE International Conference on Futuristic Technologies, INCOFT 2023

作者： Saxena, Ayan Kumar Yadav, Anshul Kumar, Rajesh Srm Institute of Science and Technology Computer Science and Engineering Chennai India Research Institute Council of Scientific & Industrial Research Central Electronics Engineering Pilani India Malaviya National Institute of Technology Electrical Engineering Jaipur India

ISBN: (纸本)9798350308846

This research proposes a new swarm-based meta-heuristic algorithm named Seven Sisters Optimizer (SSO) in-spired by the Jungle Babbler bird flock (commonly known as Seven sisters or Seven Brothers (in Hindi)). Jungle Babbler's calls are structurally and functionally organized to serve as a coherent communication system. They have 15 different types of communication classified as affiliative (friendly), with seven call types, and agonistic (unfriendly), with eight call types. The flock head, the sentinel bird, is tasked with the keep tab on optimal habitat and orients the flock members as affiliative and agonistic. The proposed algorithm is tested on 13 well-known benchmark functions. The results of the proposed SSO are verified by a comparative study of of SSO with nine other existing optimization algorithms, which include the most widely used meta-heuristics, Genetic algorithm (GA) and Particle Swarm Optimization (PSO) as well as Gravitational Search algorithm (GSA), Flower Polli-nation algorithm (FPA), Moth-Flame Optimization (MFO), Bat algorithm (BOA), Firefly algorithm (FA), Cuckoo Search algorithm (CS) along with high-performance optimizer LSHADE-SPACMA (LSP). To evaluate the constraint handling capacity of the proposed algorithm ie SSO, it is further tested on a gear design problem, and the results are compared with different classical and swarm-based optimization approaches. The results demonstrate that the proposed SSO exploration and exploitation capabilities are superior as compared to the other optimizers. © 2023 IEEE.

关键词： algorithm metaheuristics optimization seven sisters

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algorithm design and the development of a discrete element method for simulating particulate flow and heat transfer

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Clean Energy 2021年第2期5卷 141-166页

作者： Bing Liu National Institute of Clean-and-Low-Carbon Energy CHN Energy InvestmentBeijing 102211P.R.China

An algorithm using the discrete element method(DEM)for simulating the particulate behaviour of flow and heat transfer is developed and described,the reasonable hypothesis and the ingenious design of which have been presented in *** organizational structure of the developed algorithm contains an efficient method for determining particle collisions,the status analysis for each particle and the particulate-kinematics analysis during the time *** reasonability and correctness of the developed DEM algorithm are validated by laboratory experiments:the discharge process of glass beads from a silo;and heating of metal alloy particles in a ***,a group of validated mechanics parameter values for coal and sand have been tested and verified in the article,preparing for the simulation of the pyrolysis process in a downer or screw reactor in subsequent research projects.

关键词： DEM algorithm particulate flow solid mechanics heat-transfer model

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The Application and Expansion of the YOLO algorithm in the Field of Campus Cat and Dog Identification 11

The Application and Expansion of the YOLO Algorithm in the F...

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11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023

作者： Pan, Xingyu Yue, Wenjun Liao, Tonglin Tang, Xinyi Toe, Teoh Teik College of Glasgow University of Electronic Science and Technology of China Chengdu China Nanyang Technological University NTU Business AI Lab Singapore

ISBN: (纸本)9798350333664

This paper explores the application of the YOLO algorithm for the recognition of campus cats and dogs. Traditional methods of animal identification are time-consuming and often inaccurate, making computer vision techniques a desirable alternative. The purpose of this research is to develop and evaluate a YOLO-based system for recognizing campus cats and dogs, with the goal of answering the following questions: can YOLO accurately recognize cats and dogs in campus environments, how does its performance compare to other object detection techniques, and what are its potential applications and limitations in real-world scenarios? The paper provides an overview of object detection techniques, the YOLO algorithm, and related research on campus animal recognition. It then describes the dataset and experimental design used in the study, the implementation and optimization of the YOLO algorithm, and the experimental results and analysis. Finally, the paper discusses the practical applications and potential extensions of the proposed system and concludes by summarizing the contributions, limitations, and future directions of this research. © 2023 IEEE.

关键词： algorithm animal recognition computer vision machine learning YOLO

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Optimization Model of Digital Agricultural Resources Allocation Based on PSO algorithm 5

Optimization Model of Digital Agricultural Resources Allocat...

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5th IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2023

作者： Hou, Yuqing Changchun University of Finance and Economics Changchun China

ISBN: (纸本)9798350314694

Digital agricultural resources are grouped into three categories: human resources, land resources, and water resources. We established corresponding resource utilization models for the categories. Then, by introducing the PSO (PSO) algorithm, the resource allocation parameters in the model were optimized to plan the optimal resource allocation. The experimental results indicated that the PSO algorithm based digital agriculture resource allocation significantly improved the efficiency of agricultural production and resource utilization and provided an important reference for the sustainable development of digital agriculture. © 2023 IEEE.

关键词： algorithm digital agricultural resource model PSO

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