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African Bison Optimization Algorithm:A New Bio-Inspired Optimizer with engineering applications

computers, Materials & Continua 2024年第10期81卷 603-623页

作者： Jian Zhao Kang Wang Jiacun Wang Xiwang Guo Liang Qi School of Science University of Science and Technology LiaoningAnshan114051China Team of Artificial Intelligence Theory and Application University of Science and Technology LiaoningAnshan114051China Department of Computer Science and Software Engineering Monmouth UniversityWest Long BranchNJ 07764USA Information and Control Engineering College Liaoning Petrochemical UniversityFushun113000China Department of Computer Science and Technology Shandong University of Science and TechnologyQingdao266590China

This paper introduces the African Bison Optimization(ABO)algorithm,which is based on biological *** is inspired by the survival behaviors of the African bison,including foraging,bathing,jousting,mating,and *** foraging behavior prompts the bison to seek a richer food source for *** bison find a food source,they stick around for a while by bathing *** jousting behavior makes bison stand out in the population,then the winner gets the chance to produce offspring in the mating *** eliminating behavior causes the old or injured bison to be weeded out from the herd,thus maintaining the excellent *** above behaviors are translated into ABO by mathematical *** assess the reliability and performance of ABO,it is evaluated on a diverse set of 23 benchmark functions and applied to solve five practical engineering problems with *** findings from the simulation demonstrate that ABO exhibits superior and more competitive performance by effectively managing the trade-off between exploration and exploitation when compared with the other nine popular metaheuristics algorithms.

关键词： Optimization metaheuristics African bison optimization engineering problems

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Designing a Secure Audio / Text Based Captcha Using Neural Network 13

Designing a Secure Audio / Text Based Captcha Using Neural N...

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13th International Conference on Cloud Computing, Data science and engineering, Confluence 2023

作者： Pai, H. Aditya Anandkumar, M. Prasad, M.S. Guru Agarwal, Jyoti Christa, Sharon Dept. of Computer Science and Engineering Dehradun India Dept. of Computer Application Dehradun India

ISBN: (纸本)9781665462631

A CAPTCHA is used to reduce the misuse in the case of rising automated bots or software systems and also to avoid any corruption of the web services. The Captcha is used as solving a turing test problem by the users, before they get access to the software system. The paper discusses about the model that extracts the alphanumeric characters from either of audio or text-based captchas. Finally, the model's performance is found based on different parameters like accuracy level, specificity, precision etc. © 2023 IEEE.

关键词： Web services

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An Improved Designing of Neuroprosthetics Arm Using LDA

An Improved Designing of Neuroprosthetics Arm Using LDA

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2023 IEEE World Conference on Applied Intelligence and Computing, AIC 2023

作者： Singh, Anuj Purohit, Kamlesh Chandra Kumar, M. Anand Sharma, Sachin Department of Computer Science and Engineering Dehradun248002 India Department of Computer Application Dehradun248002 India

ISBN: (纸本)9798350310061

Neuroprosthetics have experienced a remarkable evolution in recent times, particularly with the advent of intelligent neuroprosthetics that leverages artificial intelligence (AI) technology. These devices have the potential to improve both the input and output of neurological systems, allowing individuals to control prosthetic limbs with their thoughts and perform everyday tasks such as picking and placing objects. the key to this innovative technology lies in the ability to collect brain signals through electroencephalography (EEG) devices, which can be then deciphered and utilized by the mechatronic components of the prosthetic limb. However, effectively separating relevant signals from irrelevant ones has been a significant challenge for the design and development of neuroprosthetics, as these signals fall into three distinct categories of brain communication. In this research paper, we explore the utilization of split signals in neuroprosthetics using LDA and how this varies from person to person depending on their mental state. Incorporating LDA methods into these devices seems to be the most viable solution for society to build a system that can efficiently differentiate and utilize brain signals, bringing us one step closer to unlocking the full potential of neuroprosthetics. It is found that with the adaptation of the LDA approach, 91% of the results are properly categorized and are best among the existing literature available to date. © 2023 IEEE.

关键词： Electroencephalography

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Rule-based database intrusion detection using coactive artificial neuro-fuzzy inference system and genetic algorithm

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International Journal of Business Intelligence and Data Mining 2022年第1期21卷 85-101页

作者： Brahma, Anitarani Panigrahi, Suvasini Samal, Neelamani Gountia, Debasis Department of Computer Science and Engineering VSSUT Sambalpur Odisha Burla India Department of Computer Science and Engineering CET Odisha Bhubaneshwar India Department of Computer Science and Application CET Odisha Bhubaneshwar India

Recently, a fuzzy system having learning and adaptation capabilities is gaining lots of interest in research communities. In the current approach, two of the most successful soft computing approaches – neural network and genetic algorithm with learning capabilities are hybridised to approximate reasoning method of fuzzy systems. The objective of this paper is to develop a coactive neuro-fuzzy inference system with genetic algorithm-based database intrusion detection system that can detect malicious transactions in database very efficiently. Experimental investigation and comparative assessment has been conducted with an existing statistical database intrusion technique to justify the efficacy of the proposed system. Copyright © 2022 Inderscience Enterprises Ltd.

关键词： Database systems

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Dual-Axis Solar Tracker: An Efficient Budgetfriendly Way to Utilize Solar Energy 1

Dual-Axis Solar Tracker: An Efficient Budgetfriendly Way to ...

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1st International Conference on Computing, sciences and Communications, ICCSC 2024

作者： Guha, Shobham Ghosh, Arghya Singh, Kamakhya Narain Misra, Chinmaya Sudershana, Sadhana Goswami, Biswadev School of Computer Application KIIT Deemed University Bhubaneswar India Computer Science and Engineering Dr. B C Roy Engineering College Jamua India

ISBN: (纸本)9798350353648

In order to improve solar energy collecting, this study investigates the development of an affordable dual-axis sun tracking apparatus. This technological attempts to increase efficiency by continuously altering the orientation of solar panels to follow the course of the sun throughout the day, as solar power gains popularity worldwide as a clean alternative to fossil fuels. The study begins with a historical overview of solar energy evolution and focuses on practical implementation using basic components like solar panels, servo motors, and light sensors. By constantly adjusting based on sunlight angles, the dual-axis system boosts energy generation efficiency. Mathematical calculations optimize panel angles for maximum sunlight exposure. Its affordability and practicality provide a sustainable solution for regions with abundant solar radiation, such as India. This research highlights the dual-axis system's potential to promote sustainable energy practices, reduce fossil fuel dependence, and mitigate environmental impact. Its cost- effectiveness makes it viable for widespread adoption in residential and commercial settings, contributing to increased global solar energy use. © 2024 IEEE.

关键词： Budget control

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QoS aware task scheduling and congestion avoidance in fog enabled car parking systems

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International Journal of Information Technology (Singapore) 2024年第8期16卷 4787-4795页

作者： Dhananjaya, M.K. Sharma, Kalpana Chaturvedi, Amit Kumar Department of Computer Science Bhagwant University Ajmer India Department of Computer Science and Application Bhagwant University Ajmer India Department of MCA Govt. Engineering College Rajasthan Ajmer India

When multiple cars compete for the same parking space, congestion arises. As it turns out, individuals waste an extensive amount of time looking for parking spaces, which increases fuel consumption and emissions. A few researchers proposed a fog-based smart car parking approach to address the drawbacks of cloud-based approaches. The researchers were unable to reach the global optimum for picking an empty parking space, and they neglected to consider quality of service (QoS) when a fog node can’t process a request. Therefore, to achieve such goals, we proposed QoS aware task scheduling and congestion avoidance in fog enabled car parking systems. This approach breaks down into three layers: the data layer, the fog layer, and the cloud layer. Data from car parking lots are gathered in the data layer using IoT devices. The relevant fog node will receive the gathered data in the fog layer. The task will be scheduled to a different suitable fog node using the multi-objective artificial flora optimization (MoAFO) algorithm. The available free parking spaces in each fog node are also estimated using the adaptive coati optimization algorithm (ACOA). The cloud server layer then stores and manages the data that the fog nodes have collected. The Java platform is used to implement the proposed methodology. The energy, time, searching time, and latency metrics are used to evaluate the effectiveness of the recommended approach. © Bharati Vidyapeeth's Institute of computer applications and Management 2024.

关键词： Adaptive coati optimization algorithm (ACOA) Multi-objective artificial flora optimization (MoAFO) algorithm Quality of service (QoS)

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Smart Health Diagnosis:Harnessing Data Mining for Predictive Healthcare 1

Smart Health Diagnosis:Harnessing Data Mining for Predictive...

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1st IEEE International Conference on Advances in Computing, Communication and Networking, ICAC2N 2024

作者： Indrakumari, R. Pandey, Vishal Sinha, Ashish Kumar Kumar, Ankesh Galgotias University School of Computer Science and Engineering India Galgotias University School of Computing Application and Technology India

ISBN: (纸本)9798350356816

The use of Smart Health Diagnosis: Data Mining for Predictive Healthcare is to provide a user- friendly and easily accessible platform where individuals can get instant health advice through an intelligent online healthcare system. By the analysis of the reported symptoms, the system can predict potential future diseases and provide relevant recommendations to healthcare providers on courses of action. Intelligent methods accurately determine potential interferences based on patient symptoms. Medical record database was used and symptoms were assigned to underlying diseases using Naive Bayesian calculations. Fast, reliable access to health care is a cornerstone of individual and social health but many people face barriers in receiving timely care. We are trying to solve these problems by introducing Health Prediction System, a revolutionary online healthcare solution that uses data mining for quick support and customized recommendations. © 2024 IEEE.

关键词： Electronic health record

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Machine Learning-Based Methods for Materials Inverse Design: A Review

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computers, Materials & Continua 2025年第2期82卷 1463-1492页

作者： Yingli Liu Yuting Cui Haihe Zhou Sheng Lei Haibin Yuan Tao Shen Jiancheng Yin Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650093China Yunnan Key Laboratory of Computer Technologies Application Kunming University of Science and TechnologyKunming650500China Yunnan Tin Company Limited Tin Industry Branch Gejiu661000China Faculty of Materials Science and Engineering Kunming University of Science and TechnologyKunming650093China

Finding materials with specific properties is a hot topic in materials *** materials design relies on empirical and trial-and-error methods,requiring extensive experiments and time,resulting in high *** the development of physics,statistics,computer science,and other fields,machine learning offers opportunities for systematically discovering new *** through machine learning-based inverse design,machine learning algorithms analyze the mapping relationships between materials and their properties to find materials with desired *** paper first outlines the basic concepts of materials inverse design and the challenges faced by machine learning-based approaches to materials inverse ***,three main inverse design methods—exploration-based,model-based,and optimization-based—are analyzed in the context of different application ***,the applications of inverse design methods in alloys,optical materials,and acoustic materials are elaborated on,and the prospects for materials inverse design are *** authors hope to accelerate the discovery of new materials and provide new possibilities for advancing materials science and innovative design methods.

关键词： Materials inverse design machine learning target properties deep learning new materials discovery

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Intelligent Farming: IoT-Powered System for Efficient Soil Condition Analysis 13

Intelligent Farming: IoT-Powered System for Efficient Soil C...

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13th International Conference on System Modeling and Advancement in Research Trends, SMART 2024

作者： Sisodia, Ankur Vishnoi, Swati Sharma, Nandini Singh, Shiv Shanker Khenwar, Medha Gupta, Priyanka Gla University Department of Computer Engineering and Application Mathura India Banasthali Vidyapith Department of Computer Science Rajasthan India G.L. Bajaj Group of Institutions Department of Computer Science and Engineering Mathura India Sanskriti University Department of Computer Science and Engineering Mathura India

ISBN: (纸本)9798350380583

Smart farming technology allows farmers to control and analyse variables in real-time, helping them optimize crop growth and manage their operations more efficiently. The use of specialized sensors, data collection tools, and advanced analytics in Internet of Things (IoT) systems is helping to bridge the gap between physical farm conditions and digital monitoring. In this study, we aim to develop a system that monitors soil conditions to support smart farming. The system provides farmers with live data on key environmental factors, such as temperature, humidity, soil moisture, and soil temperature, to improve crop yield and product quality. The IoT setup for this intelligent farming solution includes components like the DHT11 and humidity sensors, a DS18B20 temperature probe, LDR, water pump, and a 12V LED strip, all controlled by a NodeMCU. When the system is activated, it continuously monitors soil and environmental conditions and sends this information to the cloud for real-time access. If the soil moisture falls below a set threshold, the system automatically triggers irrigation. Our experimental results show that this model improves decision-making for managing farming conditions. © 2024 IEEE.

关键词： Smart agriculture

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Anti-Collusion Mechanism for Audio Signals Based on Pre-Adjustment 3

Anti-Collusion Mechanism for Audio Signals Based on Pre-Adju...

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3rd International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2023

作者： Shekhawat, Jyoti Khurana, Rashmi Vivekananda Global University Department of Computer Science Engineering Jaipur India Chandigarh School of Business Master of Computer Application Department of Computer Science Engineering Jhanjeri India

ISBN: (纸本)9798350399264

One of the most well-known and difficult attacks for audio transmissions that gravely infringes on copyright is collusion. The mixture attack by collaboration and other assaults, is too sophisticated for conventional defenses to handle. In this study, we propose by removing the perceived quality of a pre-adaptation process (PAP)-based strategy to collusion signals by removing the incentive for traitors to carry out covert attacks. The PAP signal is then produced by modifying the DCT coefficients in accordance with an adjustment matrix (AM) that has already been designed. The vigor of some frequency groups in the colluding signal will be lost or lowered when numerous PAP signals are averaged to produce it, which significantly lowers the colluded signal's perceptual quality. The suggested technique is resistant against hybrid as well as collusion assaults. Additionally, it is safe because the receiver won't receive access to the PAP secret keys. The suggested copyright protection technique may be further enhanced in terms of effectiveness by being integrated with other state-of-the-art watermarking algorithms. The proposed mechanism is superior, as demonstrated by theoretical analysis and experimental findings. © 2023 IEEE.

关键词： Copyrights

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