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The Future of EV: Real-Time Development of an Intelligent Wireless Charging System for Electric Vehicles 1

The Future of EV: Real-Time Development of an Intelligent Wi...

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1st International Conference on Cognitive, Green and Ubiquitous Computing, IC-CGU 2024

作者： Rajalingam, A. Darwin Nesakumar, A. Sathya, S. Krishnankutty, Jishor Erat Abid, Y. Pagunuran, Jubert R. College of Engineering and Technology University of Technology and Applied Sciences Engineering Department Shinas Oman R. M. K. Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India Department of VLSI Microelectronics Tamil Nadu Chennai India

ISBN: (纸本)9798350361780

The world is always on the lookout for new ways to put technology to use, and it is changing at a rate no one has ever seen before. For decades, the car industry has done nothing to alter. The advent of electric vehicles, which run on electricity rather than fossil fuels, was the big breakthrough. There have been many investigations and appreciated structures as well as outcomes for wirelessly powering electric automobiles, both passively and rapidly. This might result in a more rapid acceptance of electric vehicles globally, as it is an emerging technology in automotive manufacturing that has not yet been widely used. We cross-validated our Intelligent Wireless Charging System (IWCS), a wireless power transmission charging circuit for electric vehicles, with the Classical Charging System (CCS) to assess the efficacy of the proposed model. To solve the problem of battery overheating during charging while plugged in, as well as to extend the vehicle's battery life, the suggested model is employed. Batteries temperature handling is the primary concern for EVs due to the increased heat losses while plugged-in charging, which in turn reduces the battery's lifespan. Currently, electric cars mostly employ water-cooled systems to cool the battery, which isn't ideal for EVs due to the added size and weight. Air cooling is another option for cooling systems;it's already used in internal combustion engines but isn't very effective in electric vehicles since charging the battery produces too much heat. There is a considerable decrease in thermal output when we employ wireless charging technology. The proposed system's primary objective is to provide wireless power transfer using inductive coupling as its basis. © 2024 IEEE.

关键词： Energy transfer

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Usability Evaluation of Kids' Learning Apps 2

Usability Evaluation of Kids' Learning Apps

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2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023

作者： Ibrahim, Amer Al-Rajab, Murad Hamid, Khalid Aqeel, Muhamamd Muneer, Salman Parveen, Mehvish Saleem, Maryam American University in the Emirates College of Computer and Information Technology Dubai United Arab Emirates Abu Dhabi University Computer Scienc and IT College of Engineering United Arab Emirates Superior University Department of Computer Science Lahore Pakistan Superior University Department of Software Engineering Lahore Pakistan NCBA&E School of Computer Science Lahore Pakistan Applied Science Private University Applied Science Research Center Amman11937 Jordan NCBAE School of Computer Science Lahore Pakistan

ISBN: (纸本)9798350335644

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. © 2023 IEEE.

关键词： Learning systems

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Convergence of Blockchain, AI and IoT for Effective Monitoring and Securing Smart City Infrastructure 2

Convergence of Blockchain, AI and IoT for Effective Monitori...

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2nd International Conference on Multidisciplinary engineering and applied science, ICMEAS 2023

作者： Agajo, James Imoru, Odunayo Aigbavboa, Clinton Mishra, Amit Onah, Fidelis Ijala, Abdullahi Danjuma Federal University of Technology Department of Computer Engineering Niger State Minna Nigeria University of Johannesburg Department of Electrical and Computer Engineering South Africa University of Johannesburg Faculty of Engineering and the Built Environment South Africa Department of Computer Science School of Computing and Applied Science Baze University Abuja Nigeria Veritas University Faculty of Engineering Abuja Nigeria Nigeria Communication Commission Abuja Nigeria

ISBN: (纸本)9798350358834

The convergence of block chain, artificial intelligence, and the internet of things (IoT) for effective monitoring and securing smart city infrastructure combines these three hot trends in technology and promises to advance the development of smart cities. Blockchain, AI, and IoT represent one of the most notable technological revolutions since the combination of computing and transaction processing systems, which is now having a positive impact. Due to the actions of cyber assault, the applications of these technologies will soon have such a significant impact on our society that it will be difficult to picture life without them. The Internet of Things Infrastructure is vulnerable to assaults since it is hosted on the cloud. Modern methods are thoroughly examined to talk about the advantages and difficulties in each domain. The combination of these three will change technology and advance a number of fields that will benefit academics and experts in industry, fostering improved service delivery and enhancing corporate structures. The convergence will change the game since it will address security and data privacy concerns. © 2023 IEEE.

关键词： Internet of things

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Machine Learning Model to Analyse Noisy Data by Scanning Probe Microscope 2

Machine Learning Model to Analyse Noisy Data by Scanning Pro...

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2nd International Conference Computational and Characterization Techniques in engineering and sciences, IC3TES 2024

作者： Ramesh, T.R. Sreevani, N. Revathi, V. John Samuel Babu, G. Singh, Navdeep Kareem, Ali School of Sciences and Computer Studies Bengaluru India Hyderabad India New Horizon College of Engineering Department of Applied Sciences Bangalore India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India Lovely Professional University Phagwara India Hilla University College Babylon Iraq

ISBN: (纸本)9798350364699

The emergence of massive multidimensional datasets may be attributed to the fast advancement of spectral imaging technologies in scanning probes, electrons, and visual microscopy during the past decade. When reducing hyperspectral data to lower-dimensional materials-specific properties, functional fitting is often used. This method requires determining the parameters of the fit function, but it is recognized how to estimate it. The problem is that iterative approaches, such as least-square gradient descent, that attempt to fit noisy data functionally might provide misleading results because they are so vulnerable to first assumptions. They provide a method for reducing hyperspectral data by use of a machine learning technique. By combining machine learning with a least-squares method, the efficacy signal-to-noise ratio of band-excitation piezoresponse force microscopy is shown to be over an order of magnitude higher. This enables characterisation even with extremely tiny driving signals or weak material responses. © 2024 IEEE.

关键词： Probes

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Enhancing Smart Home Automation with Arduino and Artificial Intelligence 13

Enhancing Smart Home Automation with Arduino and Artificial ...

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

作者： Ahmad, Nazia Hussain, Sajithunisa Khan, Rubina Liyakat Quraishi, Suhail Javed Singh, Anupam George, Remya P. Applied College Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia Mriirs Computer Applications Haryana Faridabad India Graphic Era Hill University Department of Computer Science and Engineering Uttarakhand Dehradun India

ISBN: (纸本)9798350380583

The current instigation aims to examine how AI and IoT work hand in hand to use smart home automation with a special focus on the application based on Arduino microcontrollers. The suggested system focuses on increasing comfort, convenience, and safety of the home spaces by applying AI algorithms. The system comprises a number of integrated sensors and actuators that gather real time data and the data is analyzed and decisions are made by an AI control module. The strategies of design considerations, implementation, and the assessment of the energy usage, comfort level for the user and the security aspects of the system are also provided in the study. Exploitation of the proposed experimental benchmark confirms potential advancement compared to traditional systems, including the viability of successful, comprehensive smart home platforms. Keywords: Smart Home Automation, Energy Efficiency, Internet of Things (10 T), Artificial Intelligence (AI), Arduino Uno © 2024 IEEE.

关键词： Smart homes

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A Deep Convolution Network-Based Pneumonia Identification from Thoracic X-Ray Imagery Scans 6th

A Deep Convolution Network-Based Pneumonia Identification fr...

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6th World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2022

作者： Upreti, Kamal Mishra, Prateet Maheshwari, Manish Vats, Prashant Dhankar, Aisha Batra, Reenu Yadav, Saneh Lata Chawla, Tanvi Bhardwaj, Jayant Department of Computer Science and Engineering Dr. Akhilesh Das Gupta Institute of Technology and Management Delhi New Delhi India Department of Computer Science and Information Technology Symbiosis University of Applied Sciences MP Indore India Department of Computer Science and Applications Makhanlal Chaturvedi National University of Journalism and Communication MCNUJC Madhya Pradesh Bhopal India Department of Computer Science and Engineering Faculty of Engineering and Technology SGT University Haryana Gurugram India Department of Electronics and Communication Bhagwan Parshuram Institute of Technology GGSIPU New Delhi India

ISBN: (纸本)9789811976599

Pneumonia is an infectious ailment which affects the respiratory system and is caused by microbes that infect the human by affecting their lung air sacs and fill them with fluid. Using chest X-ray is the most popular approach for detecting pneumonia, and the results must be calculated and examined by medical experts. The inconvenient way of detecting pneumonia results in a loss of human life owing to incorrect approach and treatment. With the advancement of computer and information technology, developing an autonomous system that can help in the diagnosis and prevention of pneumonia is now viable, especially if the patient is in a place where the medical facilities and expert doctors are limited. In order to solve this challenge, this project uses deep learning technologies. The neural network was customized to accomplish the difficult task of detecting diseases such as pneumonia in order to aid medical experts in their diagnosis and treatment options. CNN applies a filter to a photo in order to extract data from a chest X-ray. The above-mentioned goal was achieved using Python programming language, as well as deep learning and neural network methodologies. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Chest X-rays Deep CNN Recognition of pneumonia Rectified linear function Thoracic X-ray component

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A Review on the need of Clustering Techniques Used for Wireless Sensor Networks 2

A Review on the need of Clustering Techniques Used for Wirel...

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2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023

作者： Bharany, Salil Rehman, Ateeq Ur Tariq Sadiq, M. Farrukh, Muhammad Alharbi, Meshal Hussain, Amjad Issa, Ghassan F. CET and Technology Department Amritsar India Government College University Department of Electrical Engineering Lahore Pakistan University of Brighton School of Architecture & Engineering United Kingdom Minhaj University Department of Computer Science Lahore Pakistan Prince Sattam Bin Abdulaziz University College of Computer Engineering and Sciences Department of Computer Science Alkharj11942 Saudi Arabia School of Computer Science NCBA&E Lahore Pakistan Applied Science Private University Applied Science Research Center Amman11937 Jordan Skyline University College School of Information Technology Sharjah United Arab Emirates

ISBN: (纸本)9798350335644

Wireless sensor networks have been implemented in various software to help gather and analyze data from the physical world. Wireless sensor networks are networks of multiple tiny sensors powered by low-energy batteries (WSNs). WSN lifetime is a critical factor. This is because, after WSNs have been deployed in a given application, the inaccessibility of the sensing nodes makes it impossible to recharge or replace the power source that is limited in energy. Until recently, WSNs were thought to be the same. All the network nodes have the same power, processing speed, and operational capacity. However, scientists have developed heterogeneous WSNs, in which the properties of individual nodes may vary, to extend the lifespan of networks. In order to extend a network's helpful life, energy-efficient protocols must be designed. Even though WSN has its own problems, it has brought a fresh perspective to studying real-time intelligent systems. WSN (Wireless Sensor Network) has gained significant popularity in the recent years, owing to its vast applications in real-time scenarios, such as disaster management, pollution monitoring, temperature monitoring, traffic monitoring, transport monitoring, healthcare monitoring, battlefield monitoring, and border security surveillance, to name a few. Numerous sensor nodes are employed in these applications. They are typically placed in the sensing field, where they automatically transfer data to the base station (BS) through energy transmission (i.e., battery in the sensor). In WSN, clustering is one method for optimizing power consumption at the sensor node. The sensor nodes are grouped and given a leader when they undergo clustering. This study overviews various WSN clustering algorithms, each categorized according to various clustering properties. © 2023 IEEE.

关键词： Sensor nodes

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Design Patterns for Multilevel Modeling and Simulation 27

Design Patterns for Multilevel Modeling and Simulation

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27th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2023

作者： Serena, Luca Marzolla, Moreno D'Angelo, Gabriele Ferretti, Stefano University of Bologna Department of Computer Science and Engineering Italy University of Bologna Center for Inter-Department Industrial Research Ict Italy University of Urbino Carlo Bo Department of Pure and Applied Sciences Italy

ISBN: (纸本)9798350337846

Multilevel modeling and simulation (M&S) is becoming increasingly relevant due to the benefits that this methodology offers. Multilevel models allow users to describe a system at multiple levels of detail. From one side, this can make better use of computational resources, since the more detailed and time-consuming models can be executed only when/where required. From the other side, multilevel models can be assembled from existing components, cutting down development and verification/validation time. A downside of multilevel M&S is that the development process becomes more complex due to some recurrent issues caused by the very nature of multilevel models: how to make sub-models interoperate, how to orchestrate execution, how state variables are to be updated when changing scale, and so on. In this paper, we address some of these issues by presenting a set of design patterns that provide a systematic approach for designing and implementing multilevel models. The proposed design patterns cover multiple aspects, including how to represent different levels of detail, how to combine incompatible models, how to exchange data across models, and so on. Some of the patterns are derived from the general software engineering literature, while others are specific to the multilevel M&S application area. © 2023 IEEE.

关键词： Autonomous agents

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Evaluation of Iceberg Draft and Iceberg-Seabed Interaction using Random Forest Regression Algorithm 33rd

Evaluation of Iceberg Draft and Iceberg-Seabed Interaction u...

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33rd International Ocean and Polar engineering Conference, ISOPE 2023

作者： Azimi, Hamed Shiri, Hodjat Mahdianpari, Masoud Civil Engineering Department Faculty of Engineering and Applied Science Memorial University of Newfoundland St. John’sNL Canada Department of Electrical and Computer Engineering Faculty of Engineering and Applied Science Memorial University of Newfoundland St. John’sNL Canada C-CORE St. John’sNL Canada

ISBN: (纸本)9781880653807

In the present study, the iceberg drafts and iceberg-seabed interaction process were simulated using the random forest regression (RFR) algorithm for the first time. Initially, utilizing the parameters governing the iceberg drafts and the iceberg-seabed interaction process in the sandy seabed, a set of RFR models were developed. To train and test the RFR models, a comprehensive dataset was subsequently constructed by using the field and experimental values reported in the published literature. By performing a sensitivity analysis, the premium RFR model and the most significant input parameters were introduced. © 2023 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Statistical tests

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Developing OERs for Teaching Database Systems A Two-Year Effort of Four Universities of applied sciences

Developing OERs for Teaching Database Systems A Two-Year Eff...

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2023 Datenbanksysteme fur Business, Technologie und Web, BTW 2023 - 2023 Database Systems for Business, Technology and Web, BTW 2023

作者： Rakow, Thomas C. Kless, André Hasler, Charlotte Knolle, Harm Faeskorn-Woyke, Heide Saatz, Inga Marina Lambert, Jens Focken, Mareike Hochschule Düsseldorf University of Applied Sciences Faculty of Media Düsseldorf Germany Hochschule Bonn-Rhein-Sieg University of Applied Sciences Department of Computer Science Sankt Augustin Germany Technische Hochschule Köln University of Applied Sciences Faculty of Computer Science and Engineering Science Gummersbach Germany Fachhochschule Dortmund University of Applied Sciences and Arts Faculty of Computer Science Dortmund Germany

ISBN: (纸本)9783885797258

In the project ***, Open Educational Resources (OER) were developed for teaching database systems. Lecturers can use the tools and courses in a variety of learning scenarios. Students of computer science and application subjects can learn the complete lifecycle of databases. For this purpose, we developed and published quizzes, interactive tools, instructional videos, and courses for learning management systems, under a Creative Commons license. Find an overview of the developed OERs according to topic, description, teaching form, and format in this paper. Furthermore, we describe the implementation of licensing, sustainability, accessibility, contextualization, content description, and technical adaptability. The learning and teaching modules were used in ongoing classes and evaluated anonymously by students. © 2023 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Database systems

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