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Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA), International Conference on

作者： M.D Thamarai Selvi G Ahmed Zeeshan Omaia Al-Omari Amit Kumar Mishra Giftsy Dorcas E Fredrick Ruban Alphonse Department of Verbal and Life Skills Saveetha School of Engineering SIMATS Engineering Thandalam Chennai Department of ECE Global Institute of Engineering and Technology (Autonomous) Hyderabad India Information Systems Department College of Computer and Information Sciences Prince Sultan University Riyadh Saudi Arabia Department of CSE Graphic Era Hill University Dehradun Adjunct Professor Graphic Era Deemed to be University Dehradun Uttarakhand India Department of English Kristu Jayanti College (Autonomous) Bengaluru Karnataka Assistant Professor of English Department of Languages Institute of Finance and International Management Bengaluru India

ISBN: (数字)9798331517953

ISBN: (纸本)9798331517960

In the realm of English language assessments, optimizing feedback mechanisms is crucial for enhancing learning outcomes and learner engagement. This paper therefore presents a new approach of increasing feedback enhancement by incorporating a Double Integral Transformer (DIT) model within the assessment process. The DIT model is an improved version of the regular Transformer architecture which employs two, or rather dual integral attention modules, to handle both the local and global contextual semantics of the language use more efficiently. With help of this model, the feedback process can be more accurate, accurate and individual for each learner. The Double Integral Transformer evaluates linguistic data by employing double attention layer that combines data at the syntactic and semantic level to enhance the quality of feedback given accurately. It improves the recognition of learners' strengths and weaknesses concerning the language in question and provides customized feedback that is apparently more accurate. The enhanced feeback mechanism reduces problems that are associated current assessment practices: for example, general feedback and lack of context awareness. In this study, the author presents the empirical support for the effectiveness of the DIT model to enhance the quality of the feedback is a major contribution of this study as it results in better learner performance and satisfaction. In this respect, the study advances the area's knowledge by demonstrating how novel types of Transformers can be integrated into educational technology systems while providing insights for possible changes to language assessments procedures.

关键词： Deep learning Accuracy Quantum computing Semantics Educational technology Context awareness Syntactics Linguistics Transformers Context modeling

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Optimizing Battery Management Systems For Electric Vehicles: Current Trends And Future Directions

Optimizing Battery Management Systems For Electric Vehicles:...

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Global Conference for Advancement in Technology (GCAT)

作者： V.S.Prakash Annamalai Muthu B. Anandan V. Velmurugan T. Alex Stanley Raja Purushothaman V Department of Computer Science Kristu Jayanti College Bengaluru Electrical Section Engineering Department University of Technology and Applied Science Nizwa Oman Department of Mechanical Engineering Siddharth Institute of Engineering & Technology Puttur Andhrapradesh Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Assistant Professor Level III Bannari Amman Institute of Technology Sathyamangalam Department of Electronics and Communication Engineering Chennai Institute of Technology Chennai

ISBN: (数字)9798350376685

ISBN: (纸本)9798350376692

The rapid global shift towards electric vehicles (EVs) marks a transformative era in transportation, driven by the imperative to reduce carbon emissions and reliance on fossil fuels. Central to the performance and longevity of EVs are Battery Management Systems (BMS), which optimize battery usage, enhance safety, and extend operational life. This comprehensive review explores current trends and future directions in BMS optimization, focusing on key technological advancements and their implications for electric mobility. Battery Management Systems (BMS) serve as critical components in electric vehicles, orchestrating the efficient operation of battery packs through real-time monitoring, state-of-charge (SoC) estimation, thermal management, and fault diagnosis. These systems not only ensure optimal performance but also safeguard against potential hazards, thereby enhancing vehicle reliability and user confidence. Current advancements in BMS technology emphasize enhanced accuracy in SoC estimation, leveraging sophisticated algorithms and sensor integration to provide precise information on battery charge levels. Coupled with innovative thermal management strategies, which include active cooling and heating systems, BMS can mitigate thermal stress and optimize battery performance across diverse environmental conditions. By synthesizing technological advancements, emerging trends, and potential challenges, it offers valuable insights for researchers, engineers, and policymakers aiming to advance the efficiency, reliability, and sustainability of electric mobility solutions worldwide.

关键词： Technological innovation Electric potential Battery management systems Estimation Electric vehicles Thermal management Market research Sustainable development Thermal stresses Optimization

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Responsible AI on National Cybersecurity Strategy with Enhancement of Cybersecurity in Education

Responsible AI on National Cybersecurity Strategy with Enhan...

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Intelligent & Innovative Practices in engineering & Management (IIPEM), International Conference on

作者： Bhagyashree Ashok Tingare G. Prasanna Lakshmi Vijayshri Khedkar Rakesh Thoppaen Suresh Babu Tarun Dhar Diwan Pravin B Khatkale Department of Artificial Intelligence and Data Science D Y Patil College of Engineering Akurdi Pune School of Computer Science and Engineering Sandip University Nashik Maharashtra Department of Computer Science & Engineering Symbiosis Institute of Technology Symbiosis International (Deemed University) Pune India Senior Technical Architect HEXAWARE TECHNOLOGIES INC New Jersey Assistant Professor and Controller of Examination (COE) Atal Bihari Vajpayee University Bilaspur India Sanjivani University Kopargaon Maharashtra India

ISBN: (数字)9798350390049

ISBN: (纸本)9798350390056

For national cybersecurity to keep up with the digital transition, AI is more important than ever. Responsible AI improves cybersecurity and education by emphasizing openness and ethics. Ethical design is stressed from the outset in responsible AI. This article analyzes how artificial intelligence (AI) influences the national cybersecurity strategy, focusing on cybersecurity education development and effectiveness. The National Cybersecurity Strategy will frame this article. The major results show that responsible AI improves threat detection and response, cybersecurity infrastructure, talent shortage filling, collaborative research, and public trust. Educational institutions may now offer innovative training programs thanks to artificial intelligence. Completing this aim requires closing the gap between conventional methodologies and modern challenges. Closing gaps is vital. Functional artificial intelligence improves national cybersecurity and educational quality. This analysis shows that this conclusion is possible. This allows experts to properly react to shifting dangers. This is why it matters.

关键词： Training Ethics Focusing Collaboration Threat assessment Filling Artificial intelligence computer security

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Usability Evaluation of Kids’ Learning Apps

Usability Evaluation of Kids’ Learning Apps

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Business Analytics for Technology and Security (ICBATS), International Conference on

作者： Amer Ibrahim Murad Al-Rajab Khalid Hamid Muhamamd Aqeel Salman Muneer Mehvish Parveen Maryam Saleem College of Computer and Information Technology American University in the Emirates Dubai United Arab Emirates Assistant Professor Computer Scienc and IT College of Engineering Abu Dhabi University Department of Computer Science Superior University Lahore Pakistan Department of Software Engineering Superior University Lahore Pakistan School of Computer Science NCBA&E Lahore Pakistan Applied Science Research Center Applied Science Private University Amman Jordan School of Computer Science NCBAE Lahore Pakistan

The main objective of learning applications is to use modern electronic technologies to impart knowledge, communicate knowledge, and Direct learning models with their learning activities in a timely and effective manner. The preponderance of the apps were designed to up-skill the kids in the fundamentals of letters and numbers. Generally, they were grounded and practice skills in nature, based on a lack of abilities in critical thinking, favoring parrot-fashion skills, and contributing to a deep conceptual comprehension of more specific concepts are unable. By using appropriate evaluation methodologies, the purposed study observes essential characteristics and aspects that affect the usability of interfaces. An evaluation of the app's features will figure out to ensure user contentment. When a kid interacts with a learning interface, the ease of use provided by the interface is validated. Because a large number of the apps were designed to train kids’ fundamentals of alphabetic and numeric. The focus of this research is to see whether self-proclaimed learning apps for kids are built according to developmentally appropriate standards to help kids in formal and informal learning settings develop socially, emotionally, and academically.

关键词： Electronic learning User interfaces Security Usability Standards Business

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A novel prediction of remaining useful life time of rolling bearings using convolutional neural network with bidirectional long short term memory

Journal of Engineering Research (Kuwait)

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Journal of engineering Research (Kuwait) 2024年

作者： Balamurugan, R. Takale, Dattatray G. Parvez, M. Muzammil Gnanamurugan, S. Associate Professor Department of Mechanical Engineering M.Kumarasamy College of Engineering Karur India Department of Computer Engineering Vishwakarma Institute of Information Technology Maharashtra Pune India Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram India Assistant Professor/ ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (Deemed to be University) Avadi Chennai India

Detection of bearing problems increases the importance of the service life of rotating machinery. Convolutional neural networks (CNNs) are often used in current research, and databases built on deep learning (DL) models have improved capabilities in the field of defect diagnosis. We use the publicly available Case Western Reserve University (CWRU) dataset to compare the classification accuracy and gain more adaptive knowledge and insights about the proposed approach. Extensive tests and evaluations are performed on the dataset to verify the diagnostic effectiveness of the recommended method in different situations. To demonstrate the superiority of the proposed method, we compare multiple views of the same dataset with similar tasks. CNN supports degraded index sequences to reduce noise and stop temporal oscillations. A new CNN-BiLSTM model is used to capture current and historical inspection data and predict the RUL's service life and supported power levels. Regarding production, we follow health rates. The proposed method was evaluated by accelerating the bearing motion to failure, and the results demonstrated its advantages in terms of more accurate RUL prediction. According to the experimental results, the proposed center distance measurement method is a new and valuable means for intelligent bearing diagnosis. Experimental results using 48 K and 12 K CWRU datasets show that the overall accuracy of the BiLSTM method is 99.80% and 98.3%, respectively, which is better in diagnosis than some popular models. © 2024 The Authors

关键词： BiLSTM CNN CWRU dataset Rolling bearings life time

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Green materials & construction: A step towards sustainable environment

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AIP Conference Proceedings 2024年第1期3050卷

作者： Swedika Sharma Assistant Professor Department of Computer Science and Engineering & USB Chandigarh University Punjab 140431 India

The built environment, energy, and thermal comforts are all interrelated. The remarkable expansion by construction sector, lead to dense pollution due to the population growth and increased thermal comfort needs. Construction, one of India’s primary economic sectors, compared to the 6% global average, is expanding at a 9% yearly pace. Buildings require a lot of energy to construct, operate, and maintain. Greater than 33 % of electricity in India are used by the building sector. The numerous steps made throughout the world to lower building energy use and carbon footprint via the use of green building techniques are addressed in this article. The current status of green building programmes, as well as the grading and certification processes for green buildings in India, are also covered.

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A global analysis and outlook for the sustainable materials approach to corporate social responsibility

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AIP Conference Proceedings 2024年第1期3050卷

作者： Swedika Sharma Assistant Professor Department of Computer Science and Engineering & USB Chandigarh University Punjab 140431 India

As a result of the globalization process, businesses are compelled to follow CSR and best practises from a sustainable stance towards their stakeholders and society. By evaluating the importance of corporate social responsibility (CSR) and its relationship to sustainability, the explicit purpose is to develop trends and future study fields. The global evolution of this field’s study was looked at from 2001 to 2018. The scientific production of the journals, authors, organisations, and nations that contributed to this study was evaluated by a bibliometric analysis of 1832 publications. There is growing evidence that people are interested in learning more about the connections between sustainability and socially responsible behaviour. The core category is made up of accounting, management, and business. The most successful journal is the Journal of Business Ethics and Sustainability. The United States is the country with the most publications and quotations. France and China are the two countries that collaborate on international projects the most. Global research has been trending upward in recent years, with great publication rates.

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Correction to: Systematic Review on AI-based Proctoring Systems: Past, Present and Future

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Education and Information Technologies 2021年第5期27卷 7377-7378页

作者： Nigam, Aditya Pasricha, Rhitvik Singh, Tarishi Churi, Prathamesh Computer Engineering Department Mukesh Patel School of Technology Management & Engineering NMIMS University Mumbai India Assistant Professor Computer Engineering Department Mukesh Patel School of Technology Management & Engineering NMIMS University Mumbai India

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Any Bluetooth device can be hacked. Know how?

Cyber Security and Applications

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Cyber Security and Applications 2024年 2卷

作者： Muraleedhara, Prathibha Christo, Mary Subaja J, Jaya Yuvasini  D College of Technology – Information Security and Program Management University of Houston 77204 TX United States Department of Networking and Communication School of Computing SRM Institute of Science and Technology Kantankulathur Chennai India Department of Electronics and Communication Engineering Hindustan College of Engineering and Technology India Assistant Professor Department of Computer Science and Business Systems Thiagarajar College of Engineering Madurai 625015 India

In today's world, Bluetooth technology is integrated into almost every device we use, from wireless headsets, mice, and keyboards to cars and smart home devices. But with the convenience of this technology comes the risk of privacy and security breaches. Each Bluetooth device has potential vulnerabilities that cybercriminals can exploit and take advantage of. It is important to create awareness about various Bluetooth vulnerabilities, exploits, and ways to prevent them. This article examines the dark side of Bluetooth technology by explaining how hackers can find ways to bypass the advanced security features of laptops, phones, cars, or smart home devices to compromise the devices and steal personal sensitive data. Whether it is a casual user of Bluetooth technology or a business owner with multiple devices, understanding these risks is crucial to protecting yourself and your information. This article begins by explaining the basics of Bluetooth technology and how it works. Followed by a list of security risks involved while using Bluetooth and finally, it highlights the best practices to protect the devices and the data they contain. © 2024

关键词： Ad hoc networks and security risk Bluetooth Exploit Threat Vulnerability

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AI for Disease Avoidance: Impact on Healthcare Personnel

AI for Disease Avoidance: Impact on Healthcare Personnel

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Communication, Computing and Energy Efficient Technologies (I3CEET), International Conference on

作者： Ammar Hameed Shnain Chandni Manral Ashish Sharma Himani S.A. Shoyusupov Vinay Kandpal Department of Computers Techniques Engineering College of Technical Engineering The Islamic University of Al Diwaniyah Al Diwaniyah Iraq College of Nursing Graphic Era Hill University India Department of Computer Engineering and Applications GLA University Mathura India Assistant Professor Department of Computer Science Engineering Chandigarh Engineering College Chandigarh Group of Colleges Jhanjeri Mohali Punjab India Docent Department of Physics and Chemistry Tashkent Institute of Irrigation and Agricultural Mechanization Engineers" National Research University Tashkent Uzbekistan Western Caspian University Scientific Researcher Baku Azerbaijan Department of Management Studies Graphic Era Deemed to be University Dehradun India

ISBN: (数字)9798331541583

ISBN: (纸本)9798331541590

Artificial intelligence is sometimes counted among the most powerful and practically effective scientific tools that humanity has available to it. Where AI and similar discoveries are just starting to show up in health care - However, theyre an increasing area of interest within enterprise plus society. And this progress can revolutionize various elements of healthcare - from payer, provider to even the pharmaceutical company regulations. Therefore, the goal of this study is to explore telehealth uses in infectious disease and broader health care. Methods Of The Literature On This Topic Were Searched Using Databases Like PubMed But Additionally, Google Scholar, Amazon Instructor,, Scopus, Thomson As Well As the Diary of Research. Methods The included papers for this review were selected according the complete available information. For just or whether the programs are sufficiently scaled to be helpful, keeping adherence of AI in routine clinical practice is significantly harder trouble confronting these healthcare enterprises. The synthesized data indicates that AI might make medical staff more smarter, allowing them to spend their time taking care of patients longer rather than becoming weary. Putting all this together, it could well be that "conventional medicine" is closer to the future than we might assume, where patients will see a computer before being allowed access to an actual doctor.

关键词： Infectious diseases Reviews Precision medicine Telemedicine Medical services Machine learning Telecommunication computing Personnel Artificial intelligence Medical diagnostic imaging

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