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4th International Conference on Inventive Computation and information Technologies, ICICIT 2022

作者： Gaol, Ford Lumban Kamil, Mufti Ikhsan Iswardhana, Aria Muhammad Firnandes, Steven Gusda Fahrezi, Fazri Matsuo, Tokuro Hutagalung, Fonny Binus Graduate Program—Doctor of Computer Science Jakarta Indonesia Alam Sutera School of Information System Bina Nusantara University Jakarta Indonesia Advanced Institute of Industrial Technology Tokyo Japan University of Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9789811974014

Technological advancements are accelerating in the modern day;one such advancement is augmented reality (AR) technology. Naturally, these advancements have an effect on various sectors of life, one of which is education. The education industry will be the most impacted if campuses implement and deploy augmented reality technology. One of these is through the use of augmented reality technology as an application-based learning medium for students in order to motivate them to learn and make it easier for them to improve their academic performance on campus. The issue at hand is the absence of utilization of augmentation reality technology as a learning medium on campus, which, of course, does not capitalize on technical advancements to improve student interest in learning. This study employs a research and development model. The method is divided into four phases: (1) planning;(2) data collecting;(3) analysis, discussion, and development;and (4) documentation. The findings of this study reveal that students enthusiastically support the usage of augmented reality technology as a learning medium in order to boost accomplishment and introduce new experiences through its use. However, it is required to have a system capable of serving as a technological medium, so that the construction of a system capable of serving as a medium for augmented reality may be easily accessed by students, who hope that this system would enable them to better their academic performance. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Students

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Digital Image Encryption Based On Elliptic Curve Cryptography

Digital Image Encryption Based On Elliptic Curve Cryptograph...

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Sciences and Techniques of Automatic Control and computer engineering MI-STA, IEEE International Maghreb Meeting of the Conference on

作者： Mahmoud H. S. Hasan Medht H. S. H. Ahmed dept. Computer Science Alasmarya Islamic University College of Information Technology Zliten Libya dept. Communication Engineer Higher Institute of Engineering Technology Zliten Libya

ISBN: (数字)9798350372632

ISBN: (纸本)9798350372649

information security is currently a major problem for data communication. Cryptography has emerged as a treatment and is essential to information security systems. Techniques for encryption can effectively prevent attacks on images. Elliptic curve cryptography (ECC) is an approach of public-key encryption, depends on the algebraic grouping of elliptic curves over finite fields. The present study introduces an intriguing elliptic curve cryptography-based image encryption approach and applied it to various images. The proposed technique was tested. We computed the number of pixels change rate (NPCR), unified average changing intensity (UACI), and peak signal to noise ratio (PSNR) to assess the effectiveness of the suggested technique.

关键词： PSNR Elliptic curves Digital images information security Public key Elliptic curve cryptography Encryption

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An Enhanced Method for Detecting Attack in Collaborative Recommender system 1

An Enhanced Method for Detecting Attack in Collaborative Rec...

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1st International Conference in Advanced Innovation on Smart City, ICAISC 2023

作者： Zayed, Reda A. Hefny, Hesham A. Ibrahim, Lamiaa F. Salman, Hesham A. Cairo University Faculty of Graduate Studies for Statistical Research Computer Scinces Dep. Cairo Egypt Everyone's Smart University College of Informatics United Arab Emirates Higher Institute for Computers & Information Technology ElShorouk Management Information System Dep. Cairo Egypt

ISBN: (纸本)9781665472753

In recent decades, the advent of digital information services by YouTube, Amazon, Netflix, and many other web services of this kind have made recommendation systems more and more ubiquitous in our lives. rice field. The system suggests and recommends articles to the user that may interest the user in online advertising (recommending and suggesting appropriate content to the user that matches the user's tastes and activities). Recommendation systems have become an integral part of our daily online journeys. The quality of predictions is degraded by the attackers by injection of fake profiles. therefore, the shilling attacks detection are necessary. thus, various shilling attacks detection techniques proposed. In this paper, we introduce an enhanced technique for detecting shilling attacks in collaborative recommender system using supervised learning techniques. The proposed method results show that getting better accuracy when we employee ensemble learning algorithm. © 2023 IEEE.

关键词： Recommender systems

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FogQSYM: An Industry 4.0 Analytical Model for Fog Applications

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computers, Materials & Continua 2021年第12期69卷 3163-3178页

作者： M.Iyapparaja M.Sathish Kumar SSiva Rama Krishnan Chiranji Lal Chowdhary Byungun Yoon Saurabh Singh Gi Hwan Cho School of Information Technology and Engineering Vellore Institute of TechnologyVellore632014India Department of Industrial and System Engineering Dongguk UniversitySeoulKorea Division of Computer Science Jeonbuk National UniversityJeonjuKorea

Industry 4.0 refers to the fourth evolution of technology development,which strives to connect people to various industries in terms of achieving their expected outcomes ***,resource management in an Industry 4.0 network is very complex and *** manage and provide suitable resources to each service,we propose a FogQSYM(Fog—Queuing system)model;it is an analytical model for Fog Applications that helps divide the application into several layers,then enables the sharing of the resources in an effective way according to the availability of memory,bandwidth,and network *** follows theMarkovian queuing model that helps identify the service rates of the devices,the availability of the system,and the number of jobs in the Industry 4.0 systems,which helps applications process data with a reasonable response *** experiment is conducted using a Cloud Analyst simulator with multiple segments of datacenters in a fog application,which shows that the model helps efficiently provide the arrival resources to the appropriate services with a low response *** implementing the proposed model with different sizes of fog services in Industry 4.0 applications,FogQSYM provides a lower response time than the existing optimized response time *** should also be noted that the average response time increases when the arrival rate increases.

关键词： Fog computing industry 4.0 fog layer Markovian queuing model

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Stress Analysis and Care Prediction system for Online Workers 3

Stress Analysis and Care Prediction System for Online Worker...

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3rd International Conference on Advancements in Computing, ICAC 2021

作者： Amarasinghe, A.A.S.M. Malassri, I.M.S. Weerasinghe, K.C.N. Jayasingha, I.B. Abeygunawardhana, Pradeep K. W. Silva, Suranjini Sri Lanka Institute of Information Technology Department of Information Technology Colombo Sri Lanka Sri Lanka Institute of Information Technology Department of Computer System Engineering Colombo Sri Lanka

ISBN: (纸本)9781665408622

Working from home (WFH) online during the covid-19 pandemic has caused increased stress level. Online workers/students have been affecting by the crisis according to new researches. Natural response of body, to external and internal stimuli is stress. Even though stress is a natural occurrence, prolonged exposure while working Online to stressors can lead to serious health problems if any action will not be applied to control it. Our research has been conducted deeply to identify the best parameters, which have connection with stress level of online workers. As a result of our research, a desktop application has been created to identify the users stress level in real time. According to the results, our overall system was able to provide outputs with more than 70% accuracy. It will give best predictions to avoid the health problems. Our main goal is to provide best solution for the online workers to have healthy lifestyles. Updates for the users will be provided according to the feedback we will have in the future from the users. Our system will be a most valuable application in the future among online workers. © 2021 IEEE.

关键词： Emotion Recognition

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Hotel information system Management Audit Using COBIT 2019 - APO12 2

Hotel Information System Management Audit Using COBIT 2019 -...

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2nd International Conference for Innovation in technology, INOCON 2023

作者： Utamajaya, Joy Nashar Supangat, Suhono Harso Gaol, Ford Lumban Ranti, Benny BINUS University BINUS Graduate Program School of Information System Jakarta Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatic Bandung Indonesia Bina Nusantara University Computer Science Department BINUS Graduate Program Computer Science Jakarta Indonesia University of Indonesia Computer Science Department Faculty of Computer Science Depok Indonesia

ISBN: (纸本)9798350320923

In general, public or private organizations or companies have used information-based technology as a support to improve business performance to be more effective and efficient in order to achieve a company's business goals. Given the large contribution of information technology in the application of hotel applications as a supporting information system, it is a vital system that must avoid risks that can hinder and cause harm to the hotel management business processes. Therefore, it is necessary to carry out risk management using the COBIT 5 framework to manage possible risks that may occur based on the APO12 (Manage Risk) domain. From the evaluation results of the data obtained through observation and interviews as well as the calculation of the results of the questionnaire based on 6 APO12 subdomains, the results of the risk management level capability assessment in hotel applications are still at level 3 or have reached the level of established process with the target to be achieved at level 4 resulting in a gap of 1 level. Based on the results obtained, it is necessary to propose recommendations that can be used by hotels in improving the application of information technology risk management so that in the future it can achieve the expected target level so that the APO12 level of capability can increase and become more optimal. © 2023 IEEE.

关键词： Risk management

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Web Based User-Friendly Graphical Interface to Control Robots with ROS Environment 6

Web Based User-Friendly Graphical Interface to Control Robot...

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6th International Conference on information technology Research, ICITR 2021

作者： Rajapaksha, Dinodi Divyanjana Mohamed Nuhuman, Mohamed Nafeel Gunawardhana, Sewmini Dananji Sivalingam, Atchuthan Mohamed Hassan, Mohamed Nimran Rajapaksha, Samantha Jayawardena, Chandimal Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Computer System and Engineering Malabe Sri Lanka

ISBN: (纸本)9781665420006

We have proposed a web-based approach to controlling robots in simulation. This web application will provide a simple user interface to demonstrate the various capabilities of robots. It is intended to be used by beginners who are interested in working with the Robot Operating system(ROS). The evaluation of the system is specifically achieved with Turtlebot3 waffle pi model. All the robot's functionalities are displayed in a simulated environment so users do not need an actual robot or direct access to ROS. The application covers various manual and autonomous functionalities of the robot while trying to be as interactive as possible. Each interface provides an overview of the function and basic implementation details. The goal of the proposed system is to make robotics accessible to anyone with web access and to mitigate the need to have a specific computer environment and knowledge in programming to access Robotics. © 2021 IEEE.

关键词： Robot Operating system

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Brain Tumour Identification Using MRI Images: Classification and Optimization Based Random-Coupled Neural Network with Cat Hunting Optimization

Brain Tumour Identification Using MRI Images: Classification...

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Machine Learning and Autonomous systems (ICMLAS), International Conference on

作者： Nandini N P. Vanajakshi Vidyarani H J Vani B A Vinod Kumar K P Shwethasree R Department of Computer Science and Engineering Dr. Ambedkar Institute of Technology Bangalore Karnataka Department of Information Science and Engineering Vivekananda Institute of Technology Bangalore Karnataka Department of Computer Science and Business System Dr. Ambedkar Institute of Technology Bangalore Karnataka Department of Information Science and Engineering Sri Krishna Institute of Technology Bangalore Karnataka Department of Computer Science and Engineering Dr Ambedkar Institute of Technology Bangalore Karnataka

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

Tumors in the brains may be Benign or malignant but they are growths of cells in the brain. Aches, seizures, vomiting, dementia, and impaired vision are generic symptoms of the ailment. In early diagnosis, detection of the disease and determining the right treatment method for the patients MRI scans are important. There are a number of Deep Learning-based detection techniques available, however their accuracy and error rates may be low. This study uses a Random-Coupled Neural Network with Cat Hunting Optimization (RCNNet-CHOpt) to identify and classify brain tumor in order to get around these issues. Only one kind of BraTS dataset is used by the suggested approach: The filters to enhance image quality and reduce noise, the input images are pre-processed using the Adaptive and Propagated Mesh Filtering (APMF). This is followed by feature extraction and classification using Mellin Transform (M-Trans) with Random-Coupled Neural Network (R-CNN). When combined, these two networks can accurately classify the images and identify important elements. Finally, to increase accuracy, the weight parameter of R-CNN is modified using the Cat Hunting Optimization (CHO) technique. The proposed method has a 99.8% recall and a 99.9% accuracy rate, outperforming existing methods. Among the primary advantages of the RCNNet-CHOpt are decreased false-positive rates and enhanced precision in identifying intricate brain tumor formations. Hence, it is an especially useful tool for clinical use in the identification of brain tumor because most of these applications manage large volumes of medical data.

关键词： Accuracy Magnetic resonance imaging Noise Brain tumors Medical treatment Transforms Real-time systems Optimization Biological neural networks Monitoring

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Analysis of EMI Mitigation Techniques in High Speed Printed Circuit Board 2

Analysis of EMI Mitigation Techniques in High Speed Printed ...

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2nd International Conference for Innovation in technology, INOCON 2023

作者： Anandan, M. Sajitha, L.P. Geerthik, S. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of ECE Chennai India Agni College of Technology Department of Information Technology Chennai India R.M.K Engineering College Department of Computer Science and Business System Chennai India

ISBN: (纸本)9798350320923

To serve the numerous services, today's wireless communication devices require microwave network systems with multiband and multifunctional capabilities. A growing number of microwave circuits and parts that can handle several frequency bands and larger bandwidths are needed to support the unprecedented systems. The issues in EMI/EMC have grown as a result of research and advances in contemporary wireless network communication equipment. Generally speaking, there are several ways to reduce different EMI issues. Therefore, the necessary tunable and downsized components are required to make these systems smaller, lighter, and less expensive. Most studies on emission measurements have been done in the time domain recently and one of the widely used techniques is the creation of EMI band pass filters. This article presents band pass filters with HIDDS (Hybrid Inter Digital Defected Ground Structure). Additionally, a number of uses for the hybrid S-parameters are provided by fusing Agilent ADS circuit tool and full-wave EM solvers. To provide a complete EM response of the filter construction, 3D EM simulations are performed. The analysis of the simulated findings with the results of previous experiments has revealed that HIDDS (Hybrid Inter Digital Defected ground Structure) provides minimal insertion loss and a larger range of stop band frequencies. Therefore, wireless systems might benefit from the band pass filters with HIDDS that have been proposed. © 2023 IEEE.

关键词： Defected ground structures

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Decentralization of Identities Using Blockchain 10

Decentralization of Identities Using Blockchain

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10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and computer engineering, UPCON 2023

作者： Srivastava, Shreshth Grover, Veena Nallakaruppan, M.K. Krishwanth, B. Saravanan, K. Customer Engineering Qualcomm Hyderabad India School of Management Studies Noida Institute of Engineering and Technology Delhi NCR Noida India School of Computer Science Engineering and Information Systems Vit University Vellore India Cyber Security Engineer Datafoundry Private Limited India Kpr Institute of Engineering and Technology Department of Mechatronics Engineering Coimbatore India

ISBN: (纸本)9798350382471

Digital Identity Management has become an essential component of federal business units today. It involves the gathering and storing of an individual's personal information entrusted to identity providers. With an increase in the number of data breaches occurring every passing year, vulnerabilities posed by technology conglomerates and social identity providers' access to personal data represent a severe cause of alarm. Blockchain technology, with its inherent ability to prevent manipulation and unauthorized alteration of recorded information, represents an excellent solution to identity ownership concerns. This paper seeks to provide an in-depth exploration of digital identities and the use of Blockchain technology to create a completely decentralized system of managing identities. © 2023 IEEE.

关键词： - Digital Identity Blockchain Decentralization Identity Providers Social Identity

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