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application of binary classification of magnetic resonance therapy images to detect the threat of the disease due to COVID-19 3

Application of binary classification of magnetic resonance t...

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3rd ieee KhPI Week on Advanced technology, KhPI Week 2022

作者： Zalevska, Olga Vanin, Volodymyr Sydogenko, Julia Finogenov, Oleksii Demydenko, Olga Yablonskyi, Petro Ladogubets, Tetyana Oliinyk, Yurii Miroshnichenko, Ivan National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Department of Automation of Power Processes and Systems Engineering Kyiv Ukraine National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Department of Descriptive Geometry Engineering and Computer Graphics Kyiv Ukraine National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Department of Computer-Aided Science and Data Processing Systems Kyiv Ukraine National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' The Department of Theory Practice and Translation of English Kyiv Ukraine National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Deprtament of Applied Mathematics Kyiv Ukraine

ISBN: (数字)9798350399202

ISBN: (纸本)9798350399202

The paper considers the use of a neural network for the binary classification of magnetic resonance imaging images to establish a possible disease of COVID-19. Processing of input data and their reduction to one format is provided, and neural network software for binary classification is developed and its training based on about 60,000 open patient images. The using of developed software is universal for medical doctors or ordinary Internet users and does not require additional training. © 2022 ieee.

关键词： Magnetic resonance imaging

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Lush: Smart Parking Reservation and Management application 3

Lush: Smart Parking Reservation and Management Application

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3rd International Informatics and software engineering Conference, IISEC 2022

作者： Koneswara, Lathushanan Subodha Prasansani Subasingha, A.S. Ranaweera, Udagi Ranmini Heshan Avishka Wijekoon, W.M. Ravi Supunya Swarnakantha, N.H.P. Chathurika, K.B.A.B. Sri Lanka Institute of Information Technology Department of Information Systems Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Information Technology Matara Sri Lanka

ISBN: (数字)9781665459952

ISBN: (纸本)9781665459952

The background for this study became the difficulties faced by Sri Lankans in finding a safe and a convenient parking slot. It is obvious that the manual parking systems contain a lot of drawbacks. As a solution a mobile application will be developed for both parking seekers and the parking providers. Parking seekers can register to the app and book a slot. The payment facilities will be provided through the mobile application and customers can chat with the parking providers at any time. System will identify the vehicle category and navigate it to the relevant vehicle type terminal. As well as after parking the vehicle if there is any kind of threat to the vehicles will be detected by the system. If the vehicle owner parks his vehicle at the wrong terminal or if there are any threats happening to the vehicle, the system will send a notification to the vehicle owner and to the security officers. This notification will be sent after detecting the vehicle number plate and getting the owner details from database relevant to the vehicle plate number. Parking providers can digitally and dynamically manipulate the parking area according to their preference through this system. As a conclusion system will facilitate parking seekers by providing user friendly, safe, well-managed and convenient parking facilities on behalf of the parking providers. © 2022 ieee.

关键词： Vehicles

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Outlook 360 | A Practical Approach of Recruiting Talent Through Artificial Intelligence. 3

Outlook 360 | A Practical Approach of Recruiting Talent Thro...

引用

3rd International Conference on Innovations in Computer Science and software engineering, ICONICS 2022

作者： Zehra, Sani E Shakil, Areeba Fatima, Maryam Munawwar, M. Anas Khalil, Nida Sir Syed University of Engineering and Technology Software Engineering Department Karachi Pakistan

ISBN: (纸本)9781665461412

Intellectual capital acquired the Position of an asset in the fourth industrial revolution. An asset that would help companies to reach their targeted tier in the 'talent war' and help them maintain their bottom lines for significant setbacks. With the unforeseen consequences of Covid-19, this asset has become one benefit that needs to be retained. It implies that staying aware of the rapidly developing techniques for recruitment and implementing talented or skilled individual is one factor that assists companies in winning the talent war: The conversation objective, a potential employee to invest significant time and energy in a digitalized world. A better-performing e-recruitment application can bring employees to apply for the job. Thus, this paper sheds light on what upgrades and progressions are necessary for AI-based e-recruitment systems to draw and attain skilled individuals and help organizations achieve their target tier out in the corporate world. © 2022 ieee.

关键词： Artificial intelligence

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Research on Image Processing and Recognition Algorithms in software Information systems Based on Deep Learning

Research on Image Processing and Recognition Algorithms in S...

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Electrical engineering, Big Data and Algorithms (EEBDA), ieee International Conference on

作者： Xiaojun Tang Radio and Television Monitoring Center of Shandong Province Jinan Shandong China

With the rapid development of deep learning technology, its application in image processing and recognition has become a hot research topic. The application of these technologies in software information systems such as automatic image classification, facial recognition, and medical image analysis not only improves processing efficiency but also enhances recognition accuracy. This article focuses on the training and deployment of adversarial generative network models in deep learning algorithms for graphic processing and recognition applications. Finally, two sets of simulation experiments were conducted, and the results are as follows: in the face recognition system, the recognition accuracy optimized by the deep learning algorithm based on adversarial generative networks improved by an average of 8.9% compared to traditional methods. In the traffic sign recognition system, the overall average recall index improved by 12.45%. This article proposes an improved network architecture and training strategy, which significantly improves the quality of image generation and the accuracy of recognition models in software information systems.

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Security technology of Computer Information System Based on Data Clustering Algorithm 3

Security Technology of Computer Information System Based on ...

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3rd International symposium on Advances in Informatics, Electronics and Education, ISAIEE 2022

作者： Liu, Wenbin Wang, Jun Liu, Bingzhan Shandong Institute of Commerce and Technology Jinan China The National Engineering Research Center for Agricultural Products Logistics Jinan China

ISBN: (纸本)9781665463577

In recent years, with the development of the Internet and the advancement of computer hardware and software technology, we are able to collect and store many types of data. In mining data information, unsupervised data clustering analysis is a very effective method and has a very important application value for the study of computer information system(CIS) confidentiality technology. Therefore, this paper is based on the data clustering algorithm to study the CIS confidentiality technology, through the study to ensure the security of information systems operation. This paper firstly describes the TLS technology and integrity identification technology, then designs the core function module of information system and clustering algorithm, and finally makes a detailed analysis of algorithm running time and system defence strategy, and draws conclusions. The research results show that OCS-FCM algorithm has the shortest running time and better running efficiency in all data sets. This paper selects OCS-FCM clustering algorithm to process system data. © 2022 ieee.

关键词： Clustering algorithms

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Discussion on the Ways of Constructing Computer Network Security in Colleges: Considering Complex Worm Networks 3

Discussion on the Ways of Constructing Computer Network Secu...

引用

3rd International Conference on Electronics and Sustainable Communication systems, ICESC 2022

作者： Feng, Chunhua Wuhan University of Engineering Science School of Information Engineering Wuhan430200 China

ISBN: (数字)9781665479714

ISBN: (纸本)9781665479714

This article analyzes the current situation of computer network security in colleges and universities, future development trends, and the relationship between software vulnerabilities and worm outbreaks. After analyzing a server model with buffer overflow vulnerabilities, a worm implementation model based on remote buffer overflow technology is proposed. Complex networks are the medium of worm propagation. By analyzing common complex network evolution models (rule network models, ER random graph model, WS small world network model, BA scale-free network model) and network node characteristics such as extraction degree distribution, single source shortest distance, network cluster coefficient, richness coefficient, and close center coefficient. © 2022 ieee.

关键词： application programs

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Raspberry Pi based Smart Assistance for Visually Impaired People 3

Raspberry Pi based Smart Assistance for Visually Impaired Pe...

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3rd International Conference on Electronics and Sustainable Communication systems, ICESC 2022

作者： Karthi, S.P. Akash, A. Guru, K. Hariram, S. Sri Krishna College of Engineering and Technology Department of Electronics and Communication Engineering Coimbatore India

ISBN: (数字)9781665479714

ISBN: (纸本)9781665479714

Reading is the essential life skill in today's society as the reports, bills, bank-related files, classroom worksheets, pharmaceutical product instructions, and other printed documents are present everywhere. The main objective of this research work is to convert a real text into speech and to develop collision avoidance for the blind. It entails capturing the image with the Raspberry Pi camera, processing it with image processing, and then simply reading it aloud. The text in the captured image is predicted by an artificial neural network. The output generated by the proposed device will be in the form of speech, with OCR to help the visually impaired people to understand it. The speech output of the software is sent to the blind's headphones, allowing them to hear the information from the text present in front of them. For blind people, this technology is both effective and cost-effective. Moreover, this technology is highly beneficial to blind students in schools and colleges. As an artificial intelligence application, the developed application is useful for illiterate people, as well as extremely important to society. © 2022 ieee.

关键词： Neural networks

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Survey on Smart Home Automation systems: Tools, technology, Architecture and Communication Interfaces 3

Survey on Smart Home Automation Systems: Tools, Technology, ...

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3rd ieee International Conference on Computing, Communication, and Intelligent systems, ICCCIS 2022

作者： Sharma, Kavita Reddy, S.R.N. Indira Gandhi Delhi Technical University for Women Computer Science and Engineering Delhi India

ISBN: (纸本)9781665462006

The ascent of the Internet of Things (IoT) is noteworthy in beyond a couple of many years. Its growth affirms its use in various application areas i.e.: agriculture, healthcare, home automation, transportation, etc. Home Automation means extending the current activities performed inside the home with the help of developing cost effective powerful computational devices with user friendly environment by using different technologies like Wi-Fi, Bluetooth and ZigBee. These communication technologies provide controlled environment by different devices like tablet, smart phone and laptop. The Home Automation embeds the smartness in the home with the objective of operating it without any physical interference of human being. Thus, the objective of this paper is to analyse the growing trends of IoT devices to uncover the popular and growing application area i.e.: smart home environment and to have the detailed study of hardware/software tools, architectures and communication interfaces of selected IoT application area like development board, sensors, actuators, communication type, cost, development environment etc. The comparative literature study of selected application area includes the challenges and future research aspects. It will help the researchers to consider various parameters in most favoured IoT application area as per user needs. © 2022 ieee.

关键词： Actuators

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Performance Measurement of Distributed systems via Single-Host Parallel Requesting using (Single, Multi and Pool) Threads 3

Performance Measurement of Distributed Systems via Single-Ho...

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3rd Information technology to Enhance e-Learning and Other application, IT-ELA 2022

作者： Jghef, Yousif Sufyan Zeebaree, Subhi R. M. Ageed, Zainab Salih Shukur, Hanan M. College of Engineering Knowledge University Computer Engineering Dept. Erbil Iraq Technical College of Engineering Duhok Polytechnic University Energy Eng. Dept. Duhok Iraq College of Science Nawroz University Computer Science Dept. Duhok Iraq

ISBN: (纸本)9798350334968

Distributed systems and cloud computing are essential in IT (ICT). Scholars have not contemplated merging distributed systems and cloud computing to measure execution time in milliseconds and capacity in gigabytes. Distributed systems and Cloud Computing Execute Time and Capacity Methodology This title covered two networking types. Multi-scenario distributed networking begins. A TCP socket links a client-server application (Transmission Control Protocol). This example also networks between computers. In another example, Remote Method Invocation technology (RMI) links subservers to the main server to handle all client inquiries. Second-generation networking involves distributed systems and cloud computing. Google's API downloaded files to my machine and sent them to the main server. Other examples include using numerous computers or a client server software on the same machine. Multi-client and server threads helped the system find correct results. Pool threads were used elsewhere. This thesis examines execution time and file capacity. The system showed how cloud computing affects distributed systems in two ways to apply many scenarios and draw conclusions (execution time and capacity). This project utilizes TCP sockets, RMI, and API. Threads and a hash table software structure were used to load data into the system between the client and the server. © 2022 ieee.

关键词： Cloud computing

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Automatic Generation technology of Table Structure for software Development Based on Oracle Database System 3

Automatic Generation Technology of Table Structure for Softw...

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3rd International symposium on Advances in Informatics, Electronics and Education, ISAIEE 2022

作者： Peng, Xia Wang, Shuang Zhang, Yu College of Information Science and Technology Bohai University Jinzhou China School of Physical Education Bohai University Jinzhou China Zaozhuang Vocational College of Science and Technology Shandong Tengzhou277500 China

ISBN: (纸本)9781665463577

As the core technology of information system, database has been widely used in software development, especially in the era of big data. The database not only provides data storage functions, but also data mining and data analysis functions, and the range of applications is constantly expanding. Oracle is currently the most widely used large database, supporting high concurrency and large access volumes, and is the best tool for OLTP. In order to meet the needs of rapid software development based on Oracle database, this paper studies the automatic generation technology of table structure, and designs the automatic generation of table structure program flow based on the conceptual structure design and logical structure design, and the automatic generation of table structure degree design. The research content of this paper, in line with the development direction of software engineering, can improve the efficiency and quality of software development. © 2022 ieee.

关键词： Database systems

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