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2nd Conference of Innovative Product design and Intelligent Manufacturing System, IPDIMS 2020

作者： Pradeep Ghantasala, G.S. Nageswara Rao, D. Patan, Rizwan Department of Computer Science and Engineering Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Software Engineering and Game Development Kennesaw State University Mariettea United States

ISBN: (纸本)9789811902956

Bosom malignancy is the primary stage of disease detection. Classifiers are thus constantly wanted with higher accuracy. A highly accurate classifier gives fewer opportunities to misinterpret a malignant growth patient. This paper explores how the concept of strategic recession is portrayed in a modified, enhanced manner. For minimizing cost efficiency, both inclination plunge and propelled streamlining are used. The theory, which is a sigmoid capacity, involves a weighing dimension of β. The weighting variable depends on the number of highlights, dataset size, and the type of simplification method used. Through correctly estimating β, which is part of the quantity and type of enhancement systems used, the accuracy of the bosom disease position is fundamentally improving. By increasing precision, affectability, and specialty, the achieved results are promising. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Artificial neural network Cancer Fine needle aspiration Malignancy detection Support vector machine

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design and Application of a Media Big Data Processing and Analysis Model Based on Artificial Intelligence 4

Design and Application of a Media Big Data Processing and An...

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4th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2024

作者： Xiao, Shufang Wu, Siying Li, Kemin Wu, Dong Institute of Guangzhou University School of Game Department Software Engineering Guangdong Guangzhou China School of Art and Design Guangzhou College of Commerce Guangdong Guangzhou China School of Art Design and Creative Industries Guangzhou Southern University Guangdong Guangzhou China College of Art and Media Guangzhou Xinhua University Guangdong Guangzhou China

ISBN: (纸本)9798350352931

With the advent of the big data era, the amount and diversity of media data have grown exponentially, posing a major challenge to traditional data processing techniques. This paper studies an intelligent model to address these challenges, which uses deep learning and natural language processing to automatically extract and predict target features and achieve high-precision predictions, thereby improving the intelligence of the algorithm. A model that integrates convolutional neural networks and recurrent neural networks is established to effectively analyze multimodal data. It has an average accuracy of 89.072% in classification tasks and 89.184% in regression tasks, which is better than traditional methods such as sequence pattern mining, OLAP, and RDBMS. In addition, the model performs well in clustering tasks. In terms of efficiency, the model takes only 0.53 seconds on average to complete the task, with a CPU usage of 32.7%, a memory usage of 514MB, and an energy consumption of 0.045 units, all of which are better than the comparison methods. © 2024 IEEE.

关键词： Data accuracy

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Advancements in 5G and 6G Technologies Shaping the Future of Global Connectivity and Communication 5

Advancements in 5G and 6G Technologies Shaping the Future of...

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5th International Conference on Sustainable Communication Networks and Application, ICSCNA 2024

作者： Pachar, Sunita Reddy, Satti Sudha Mohan Kompally, Gouthami Srinivasagopalan, Lakshmi Narasimhan Sangore, Rohidas Balu Katta, Sivakoteswararao GLA University IBM Department India SRKR Engineering College Department of ECE India Department of CSE-IOT India Software Development Enterprise Architecture PlanoTX United States Computer Science and Engineering MIT Art Design Technology University India KIETW Department of Mechanical Kakinada India

ISBN: (纸本)9798331530013

The evolution of wireless communication is poised for a major shift with the transition from 5G to 6G, a leap characterized by breakthroughs in speed, ultra-reliable low-latency communication, and AI-driven network optimization. This paper examines these advancements, focusing on sub-millisecond latency, terahertz spectrum utilization, and enhanced network capabilities tailored to industries such as smart infrastructure, healthcare, and autonomous vehicles. While 6G promises revolutionary improvements, it also presents new challenges, including increased computational complexity and energy demands, data privacy concerns, and efficient spectrum allocation. The proposed model aims to address these issues by integrating AI and machine learning for optimized resource management, resulting in a high-performance, cost-effective solution for real-time, data-intensive applications. To assess the model's effectiveness, comprehensive simulations and real-world trials will be conducted, measuring critical metrics such as network throughput, latency, reliability, and energy efficiency. This study offers an all-encompassing guide to understanding and harnessing the transformative potential of 6G technology, laying the groundwork for future wireless communication systems. © 2024 IEEE.

关键词： Terahertz spectroscopy

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development of Microcontroller-Based Pure Sine Wave Inverter with Overload and Overheating Protection 17

Development of Microcontroller-Based Pure Sine Wave Inverter...

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17th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer engineering, TCSET 2024

作者： Holovatyy, Andriy Lobur, Mykhaylo Holovata, Sofia Lukaszewicz, Andrzej Nowakowski, Marek Kolesnyk, Kostyantyn Lviv Polytechnic National University Department of Computer-Aided Design Systems Lviv Ukraine Ukrainian National Forestry University Department of Software Engineering Lviv Ukraine Bialystok University of Technology Department of Machinery Design and Operation Bialystok Poland Military Institute of Armoured and Automotive Technology Development Department Sulejowek Poland Lviv Polytechnic National University Department of Computera-Aided Design Systems Lviv Ukraine

ISBN: (纸本)9798331520564

In the paper, hardware and software of the Arduino based pure sine wave inverter with overload and overheating protection have been developed. The inverter constantly monitors the consumption current, the battery voltage, the temperature of the power switches (radiator) and, if their parameters are normal, forms a sinusoidal voltage of 230 V, 50 Hz at the output of the inverter, similar to the network voltage. The inverter provides the display of information on the LCD screen about current and power consumption, battery voltage, temperature of the inverter power switches, as well as display of emergency icons when the permissible operating parameters are exceeded. The inverter generates sound and visual warning messages with LED indicators and buzzer. The inverter can be used as a lightweight low-power 100 W network inverter with sine-wave voltage for autonomous power supply of low-power electronics. © 2024 IEEE.

关键词： Microcontrollers

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Gamification integration and student motivation: Issues and concerns 25

Gamification integration and student motivation: Issues and ...

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25th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2021

作者： Pournaghshband, Hassan O'Dowd, Sean Department of Software Engineering and Game Development Kennesaw State University Kennesaw 30144 Georgia

ISBN: (纸本)9781713835196

Among major challenges that today's educator faces is how to motivate and engage their students. Problems of different nature regarding students' motivation have been extensively studied by researchers providing guidelines for best practice in motivating and engaging learners in an academic environment. In this paper, we examine gamification motivation issues and discuss how it can be effectively integrated into the classroom environment. We will show how different types of gamification can be applied in a classroom environment to better motivate and engage students in learning material. The main idea behind the gamification approach is that it will allow students to become highly engaged in the topic, leading to better retention and recall of the material through game-like methodology. The promise of gamification is within the common game elements which facilitate the capturing of the learner's imagination as they find the learning experience to be pleasurable throughout their coursework. While we trust that gamification works for both, graduate and undergraduate courses, but the nature of this motivation approach makes it a good choice to be tailored for undergraduate students. © WMSCI *** right reserved.

关键词： Students

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Building the metaverse using digital twins at all scales,states,and relations

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Virtual Reality & Intelligent Hardware 2022年第6期4卷 459-470页

作者： Zhihan LV Shuxuan XIE Yuxi LI M.Shamim HOSSAIN Abdulmotaleb El SADDIK Department of Game Design Faculty of ArtsUppsala UniversitySweden College of Computer Science and Technology Qingdao UniversityQingdaoChina Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia School of Electrical Engineering and Computer Science(EECS) University of OttawaOttawaOntarioCanada

developments in new-generation information technology have enabled Digital Twins to reshape the physical world into a virtual digital space and provide technical support for constructing the *** objects can be at the micro-,meso-,or *** Metaverse is a complex collection of solid,liquid,gaseous,plasma,and other uncertain ***,the Metaverse integrates tangibles with social relations,such as interpersonal(friends,partners,and family)and social relations(ethics,morality,and law).This review introduces some principles and laws,such as broken windows theory,small-world phenomenon,survivor bias,and herd behavior,for constructing a Digital Twins model for social ***,from multiple perspectives,this article reviews mappings of tangible and intangible real-world objects to the Metaverse using the Digital Twins model.

关键词： Digital twins Metaverse Sensor

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State-based Sandbox Tool for Distributed Malware Detection with Avoid Techniques 13

State-based Sandbox Tool for Distributed Malware Detection w...

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13th International Conference on Dependable Systems, Services and Technologies, DESSERT 2023

作者： Rehida, Pavlo Markowsky, George Sachenko, Anatoliy Savenko, Oleg Khmelnytskyi National University Department of Computer Engineering and Information Systems Khmelnytskyi Ukraine Kennesaw State University Department of Software Engineering and Game Development Marietta United States Kazimierz Pulaski University of Technology and Humanities Department of Informatics Radom Poland Research Institute for Intelligent Computer Systems West Ukrainian National Unversity Ternopil Ukraine

ISBN: (纸本)9798350396119

This paper deals with the problem of detecting the malware by using emulation approach. Modern malware include various avoid techniques, to hide its anomaly actions. Advantages of using sandbox and emulation technologies are described. Various anti-emulation techniques that are used in modern malware considered. Obfuscation as one primary approach to hide malware malicious actions described and discussed. State of emulator is presented, and the advantages of its usage are covered. Distributed model for malware detection is considered. Basic emulator and its current capabilities presented. Prepared files that represent malware are described. Experimental results for developed files that differs with included avoid techniques are presented. Disadvantages of proposed approach is described. Future research and sandbox improvement are described. © 2023 IEEE.

关键词： anti-emulation techniques malware detection obfuscation techniques sandbox

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Energy Efficiency Improvement System for AC Circuits

Energy Efficiency Improvement System for AC Circuits

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2024 Conference of Young Researchers in Electrical and Electronic engineering, ElCon 2024

作者： Kulagin, Vladimir Selivanov, Kirill Vlasov, Andrey Aminev, Dmitrii Bunina, Lyudmila Bikovsky, Sergey Moscow Technical University of Communications and Informatics Moscow Russia Bauman Moscow State Technical University Bmstu Department of Design and Technology of Electronic Devices Moscow Russia Russian Technological University - Mirea Department of Development of Software Solutions and System Programming Moscow Russia Russian Technological University - Mirea Department of Electrical Engineering Systems Moscow Russia

ISBN: (纸本)9798350360646

The problem of the rational use of energy resources remains constantly relevant and requires the search for new approaches. One of them is power control. In AC circuits, the authors see the most promising method of phase AC power control. Based on it, a power control module was developed. The structural and circuit diagrams of the developed device are presented to implement the proposed solution. The authors produced its experimental prototype and conducted experimental testing at various levels of regulated power. Savings when using the proposed power control module were calculated using the example of energy consumption in various sectors of energy-intensive systems. According to the data obtained, the module allows saving energy consumption without significant discomfort to the energy user. The calculated results allow concluding that the proposed AC power control module is fully operational, and its widespread use will significantly reduce the need for electricity. © 2024 IEEE.

关键词： energy consumption energy efficiency power control

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Efficient Classification of Live Sensor Data on Low-Energy IoT Devices with Simple Machine Learning Methods 19thth

Efficient Classification of Live Sensor Data on Low-Energy...

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19th International Conference on Computer Aided Systems Theory, EUROCAST 2024

作者： Hanreich, Martin Krauss, Oliver Zwettler, Gerald Research and Development Research group AIST University of Applied Sciences Upper Austria Hagenberg4232 Austria Faculty for Informatics Communications and Media Department of Media Technology and Design University of Applied Sciences Upper Austria Hagenberg4232 Austria Faculty for Informatics Communications and Media Department of Software Engineering University of Applied Sciences Upper Austria Hagenberg4232 Austria

ISBN: (纸本)9783031829598

This paper addresses the implementation of time series classification on Internet of Things (IoT) devices with minimal resource usage while maintaining required accuracy levels. Although IoT devices have grown more powerful, optimizing resource usage remains essential to reduce costs and extend battery life. This work explores the practical aspects of developing and deploying time series classification models on IoT devices, emphasizing non-neural network models due to their lower resource demands. A detection system utilizing multiple predictions and a voting-based mechanism is constructed to enhance prediction stability. The input data comprises multivariate sensor streams of the same length. All computations are performed on the device, leveraging edge computing principles without external server dependency. This approach demonstrates how to balance accuracy and resource efficiency in IoT-based time series classification, offering a practical framework for similar applications. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Energy-Efficiency IoT-Devices Machine Learning Time-Series-Classification

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A Review of Quantum Cybersecurity: Threats, Risks and Opportunities 1

A Review of Quantum Cybersecurity: Threats, Risks and Opport...

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1st International Conference on AI in Cybersecurity, ICAIC 2022

作者： Faruk, Md Jobair Hossain Tahora, Sharaban Tasnim, Masrura Shahriar, Hossain Sakib, Nazmus Kennesaw State University Department of Software Engineering and Game Development United States Kennesaw State University Department of Computer Science United States Kennesaw State University Institute for Cybersecurity Workforce Development United States Kennesaw State University Department of Information Technology United States University at Buffalo The State University of New York Department of Computer Science and Engineering United States

ISBN: (数字)9781665400435

ISBN: (纸本)9781665400435

The promise of quantum computing is not speeding up conventional computing rather delivering an exponential advantage for certain classes of problems, with profound implications for cybersecurity for instance. With the advent and development of quantum computers, cyberspace security can surely become the most critical problem for the Internet in near future. On contrary, prosaic quantum technology can be promising to transform cybersecurity. This research aims to synthesize basic and fundamental studies concerning quantum cybersecurity that can be emerged both as a threat and solution to critical cybersecurity issues based on a systematic study. We provide a comprehensive, illustrative description of the current state-of-the-art quantum computing and cybersecurity and present the proposed approaches to date. Findings in quantum computing cybersecurity suggest that quantum computing can be adopted for the betterment of cybersecurity threats while it poses the most unexpected threats to cybersecurity. The focus and depth of this systematic survey not only provide quantum and cybersecurity practitioners and researchers with a consolidated body of knowledge about current trends in this area but also underpins a starting point for further research in this field. © 2022 IEEE.

关键词： Cybersecurity

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