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14th Mediterranean Conference on Power Generation Transmission, Distribution and Energy Conversion, MEDPOWER 2024

作者： Papazoglou, Georgios K. Forouli, Aikaterini A. Bakirtzis, Emmanouil A. Biskas, Pandelis N. Bakirtzis, Anastasios G. Fano, Natalia School of Electrical & Computer Engineering Aristotle University of Thessaloniki Greece Department of Research Technology & Development Hellenic Energy Exchange S.A. Athens Greece Department of Computer Informatics and Telecommunications Engineering International Hellenic University Serres Greece Innovation Department Estabanell y Pahisa Energia S.A.U Granollers Spain

ISBN: (纸本)9781837242689

The aim of this paper is to gain evidence of the scalability of flexibility trading mechanisms by executing large scale simulations for day-ahead trading of flexibility. The objective is to allow the quantification of the impact of flexibility provision at the distribution level and prove the effectiveness of flexibility trading in solving grid issues, delivering in this way scalable operational mechanisms ready to be integrated in EU electricity markets. Initially, the proposed market mechanism is validated by using dummy grid data and considering virtual DSO needs. Next, real-life simulations are executed using operational grid data from the region of Catalonia, Spain. Simulations results indicate that the proposed mechanism exhibits satisfactory scalability and accuracy and is able to efficiently address issues of the distribution network safeguarding the security of supply and quality of service in the distribution grid. © The Institution of engineering & Technology 2024.

关键词： Power distribution networks

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Application of Parallel Signal Processing Using Reverse Blockchain Technology in Conditions of Network Instability 4

Application of Parallel Signal Processing Using Reverse Bloc...

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4th International Conference on Electrical, computer, Communications and Mechatronics engineering, ICECCME 2024

作者： Khilenko, Volodymyr Zinchenko, Andrii Stepanov, Oleksii Kotuliak, Ivan Ries, Michal Institute of Computer Engineering and Applied Informatics Slovak University of Technology in Bratislava Faculty of Informatics and Information Technologies Bratislava Slovakia Institute of Transport Systems and Technologies National Academy of Sciences of Ukraine Dnipro Ukraine National University of Life and Environmental Sciences of Ukraine Kyiv Department of Information Technologies Ukraine Slovak University of Technology in Bratislava Faculty of Informatics and Information Technologies Bratislava Slovakia

ISBN: (纸本)9798350391183

The theses is in line with works aimed at studying the possibility of using mathematical algorithms for parallel processing of information in reverse blockchain technology. The paper examines the use of parallel signal processing algorithms to improve the speed and quality of control systems for autonomous dynamic objects using reverse blockchain technology. The use of reverse blockchain technology is due to the possibility of loss of control signals and, at the same time, the inadmissibility of loss of control in the event of changes in the conditions and parameters of the operation of the obj ect. The purpose of the work is to analyze the implementation of solutions for parallel information processing for various models of industrially produced equipment and to develop solutions to increase the efficiency of reverse blockchain technology when using parallel data processing. © 2024 IEEE.

关键词： blockchain dynamic objects and technological processes improving the quality of control systems instability of communication channels loss of information and control signals reverse blockchain technology

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An Intelligent Secure Adversarial Examples Detection Scheme in Heterogeneous Complex Environments

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computers, Materials & Continua 2023年第9期76卷 3859-3876页

作者： Weizheng Wang Xiangqi Wang Xianmin Pan Xingxing Gong Jian Liang Pradip Kumar Sharma Osama Alfarraj Wael Said College of Information Science and Engineering HunanWomen’s UniversityChangsha410138China School of Mathematics and Statistics Hunan First Normal UniversityChangsha410138China School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114China Department of Computing Science University of AberdeenAberdeenAB243FXUK Department of Computer Science Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Department of Computer Science Faculty of Computers and InformaticsZagazig UniversityZagazig44511Egypt

Image-denoising techniques are widely used to defend against Adversarial Examples(AEs).However,denoising alone cannot completely eliminate adversarial *** remaining perturbations tend to amplify as they propagate through deeper layers of the network,leading to ***,image denoising compromises the classification accuracy of original *** address these challenges in AE defense through image denoising,this paper proposes a novel AE detection *** proposed technique combines multiple traditional image-denoising algorithms and Convolutional Neural Network(CNN)network *** used detector model integrates the classification results of different models as the input to the detector and calculates the final output of the detector based on a machine-learning voting *** analyzing the discrepancy between predictions made by the model on original examples and denoised examples,AEs are detected *** technique reduces computational overhead without modifying the model structure or parameters,effectively avoiding the error amplification caused by *** proposed approach demonstrates excellent detection performance against mainstream AE *** results show outstanding detection performance in well-known AE attacks,including Fast Gradient Sign Method(FGSM),Basic Iteration Method(BIM),DeepFool,and Carlini&Wagner(C&W),achieving a 94%success rate in FGSM detection,while only reducing the accuracy of clean examples by 4%.

关键词： Deep neural networks adversarial example image denoising adversarial example detection machine learning adversarial attack

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IoT Home Medical Check-up System Application and Database Design 6

IoT Home Medical Check-up System Application and Database De...

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6th International Conference on Information Technology, Information Systems and Electrical engineering, ICITISEE 2022

作者： Risitiani, Nadia Saida, Nur Fauzi, Rahmat Noor Darmawan, Helmy Yusuf Sanubari, Agung Oktivasari, Prihatin Wardhani, Rika Novita Riandini Politeknik Negeri Jakarta Department of Electrical Engineering Depok Indonesia Politeknik Negeri Jakarta Department of Informatics and Computer Engineering Depok Indonesia

ISBN: (纸本)9798350399615

Recording the results of checking blood sugar, cholesterol and uric acid has not made a routine history every time you check, this is what makes us make an application in the Non-Invasive Home Medical Check-up tool, Non-Invasive Home Medical Check-up is a medical device made using non-invasive methods in checking blood sugar, uric acid, cholesterol, and body temperature. This tool uses MAX30105 sensors to check uric acid, blood glucose, and cholesterol levels, and MLX90614 to check body temperature. This application is connected to the device in real-time and there is a history check display to make it easier for users to review previous checks. Making applications using MIT APP INVENTOR and using the PostgreSQL database. To ensure that everything is as expected, testing is carried out to send and store data on the results of checking the device to the database and displayed in the application. Data transmission testing is done by determining the delay time of sending tools to the database using the internet network, and the average delay in the experiment is 0.0206 seconds. Integration testing is done by comparing the data in the database with the application by means of the user must enter the correct and appropriate ID. © 2022 IEEE.

关键词： MAX30105 Sensor Medical Check-up Application MLX90614 Sensor

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A novel approach to predicting liquefaction-induced settlements using Kolmogorov–Arnold Networks (KANs)

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Discover Geoscience 2024年第1期2卷 1-14页

作者： Karakaş, Seyidcem Garanti BBVA Payment Systems İstanbul Turkey Faculty of Computer and Informatics Engineering Istanbul Technical University Istanbul Turkey

Soil liquefaction refers to the loss of strength and bearing capacity of soil under dynamic loads. Structures built on liquefied soils experience settlement. In this study, the newly developed Kolmogorov–Arnold Networks (KAN) method, an innovative artificial neural network technique, was utilized to predict liquefaction-induced settlement. The KAN method, which extends beyond the traditional Multi-Layer Perceptron (MLP) approach, was compared with the Random Forest method for benchmarking purposes. Using data derived from laboratory and field studies, models were constructed using both methods, and their performances were analyzed. According to the results, the KAN model outperformed the RF model in terms of R2, MAE, MSE, and RMSE metrics. Additionally, the feature importance analysis on the KAN model identified cyclic stress ratio (csr) and corrected SPT blow count (n1_60) as the most significant variables. These results underscore the potential of the KAN method in enhancing predictive accuracy and reliability in geotechnical applications, paving the way for its broader acceptance and implementation in real-world scenarios.

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Design and Implementation the Prayer Reminder Application using KISS Principle based on User Centered Design

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Procedia computer Science 2024年 234卷 1484-1491页

作者： Andhik Ampuh Yunanto Febi Fidhiyanti Putri Desy Intan Permatasari Nailussa'ada Fadilah Fahrul Hardiansyah Umi Sa'adah Adam Shidqul Aziz Department of Informatics and Computer Engineering Politeknik Elektronika Negeri Surabaya Keputih Sukolilo Surabaya East Java 60111 Indonesia

The five daily prayers are an obligation of worship for Muslims in the world. Prayers have a predetermined time schedule according to the teachings of the Prophet Muhammad SAW and have different schedules according to each region. As Muslims, it is obligatory to pray five times a day. However, there are a lot of start-up company which forgot about the employee need such as praying. One of them is called byPulsa Start-up company which wants anticipates delays in praying. Because of this reason, the Ceo at byPulsa need an application to remind the employee about praying. So, this company wants to improve the additional feature into its application and develop its application more less interaction and efficient. So, this research aims to develop the previous application into an application that can remind employees to pray. In this research, Kiss Principle Method and User Centered Design were used to this application to make it more efficient and usable for user. The results show that the user feels more satisfied with the application because it has prayer schedule feature based on user's position. The CSAT score from evaluation has score 80% which higher than previous application. This application can help and guide users in exploring their religion by following online studies and using features such as prayer beads, Islamic book recommendations, even Islamic podcasts. As well as the Kiss principle method used here, it functions to make it easier for users to interact with the application.

关键词： Prayer reminder Kiss Principle User Centered Design Android Application

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Robust SmartCityAI Lakehouse: IKN (New Capital City of Indonesia) Case Study 11

Robust SmartCityAI Lakehouse: IKN (New Capital City of Indon...

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11th International Conference on ICT for Smart Society, ICISS 2024

作者： Hermanus, Davy Ronald Hermanus, Danny Robert Hidayat, Fadhil Supangat, Suhono Harso Bina Nusantara University Research Interest Group in Educational Technology Computer Science Department Bandung Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Minneapolis United States

ISBN: (纸本)9798350389654

The rapid advancement of smart cities, driven by innovative communication and information technologies (ICT), has transformed urban management. This paper introduces the Robust SmartCityAI Lakehouse, a hybrid framework specifically designed to implement smart city solutions in IKN, the New Capital City of Indonesia. The proposed architecture seamlessly integrates diverse data sources and supports a wide range of applications, including real-time AI-driven transportation management, energy optimization, public safety enhancement, waste and water management, environmental monitoring, and air quality control. By leveraging both on-premises processing and scalable cloud infrastructure, this framework enhances urban sustainability and improves the quality of life for citizens. The paper also explores the key benefits and challenges of deploying this architecture, providing practical strategies for its implementation in complex urban environments. © 2024 IEEE.

关键词： Air quality

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Non-Invasive Detection System for Blood Sugar, Cholesterol, Uric Acid, and Body Temperature Using MAX30105 and MLX90614 Sensors

Non-Invasive Detection System for Blood Sugar, Cholesterol, ...

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2022 International Conference on computer engineering, Network and Intelligent Multimedia, CENIM 2022

作者： Fauzi, Rahmat Noor Ristiani, Nadia Saida, Nur Darmawan, Helmy Yusuf Sanubari, Agung Oktivasari, Prihatin Wardhani, Rika Novita Riandini Politeknik Negeri Jakarta Departement of Electrical Engineering Depok Indonesia Politeknik Negeri Jakarta Departement of Informatics and Computer Engineering Depok Indonesia

ISBN: (纸本)9781665476508

Currently, blood sugar, cholesterol and uric acid checks are still carried out by invasive methods. This method requires taking blood from the body using a needle, for this shortcoming we made a Blood Sugar, Cholesterol, Uric Acid, and Body Temperature Monitoring Tool using MAX30105 and MLX90614 Sensors with Non-Invasive Methods using linear regression formulas, in the test, checking blood sugar levels gets an average value of checking accuracy of 86%, checking cholesterol by 92.5%, on uric acid by 86.7%, and for measuring body temperature getting an average checking accuracy of 98.7%. Based on the testing and analysis that has been done, this tool still needs to be developed with more data collection, so that the accuracy of checking is getting better. Based on the testing and analysis that has been done, this tool still needs to be developed by taking more data, so that the checking accuracy is getting better. © 2022 IEEE.

关键词： Cholesterol

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Federated Digital Twin 27

Federated Digital Twin

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

作者： Vergara, Christian Bahsoon, Rami Theodoropoulos, Georgios Yanez, Wendy Tziritas, Nikos School of Computer Science University of Birmingham Birmingham United Kingdom Southern University of Science and Technology Dept. of Computer Science and Engineering Shenzhen China University of Thessaly Dept. of Informatics and Telecommunications Lamia Greece

ISBN: (纸本)9798350337846

Digital Twin (DT) is a virtual replica of a physical system that is constantly receiving information from different data sources, enhancing its operations and processes through data analytics, predictions and simulations. The development of DTs relies on advancements in cutting-edge technologies namely IoT, Big data, Cloud computing and Artificial Intelligence;and although it was initially conceived in manufacturing, it is currently contributing to the digital transformation of several fields including aeronautics, healthcare, urban planning and agriculture. The existing body of research suggests that it will be expanded in the next few years with the implementation of sophisticated applications, therefore different proposals to achieve collective work between DTs have been investigated. Nevertheless, much research is needed to develop and validate appropriate mechanisms to ensure its successful deployment in complex real-world cases that require collaboration among individual systems. A Federated Digital Twin (FDT) has been identified as a promising solution for this approach, since it allows the interconnection among autonomous DTs in the virtual space, leveraging their advantages and enabling interaction, collaboration and shared learning. Additionally, since a FDT is envisaged as a network of cooperative DTs, cognitive principles can be applied to assist the overall operations through knowledge acquisition and reasoning, leading to an informed and intelligent decision making. This study aims to expand the FDT concept, develop mechanisms for coordination and synchronization based on well-defined FDT goals and connectionism theory. Furthermore, four architectural styles are provided to enable the integration of collaborative DTs within a federated environment, aiming to improve the operations in complex real-world systems. © 2023 IEEE.

关键词： Metadata

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Privacy-Preserving X-ray Image Enhancement: A GAN-Cybersecurity-Based Approach

Privacy-Preserving X-ray Image Enhancement: A GAN-Cybersecur...

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2024 IEEE International Conference on Consumer Electronics, ICCE 2024

作者： Phan, Quoc Bao Nguyen, Linh Nguyen, Tuy Tan Nguyen, Dinh C. Northern Arizona University School of Informatics Computing and Cyber Systems FlagstaffAZ86011 United States The University of Alabama in Huntsville Department of Electrical and Computer Engineering HuntsvilleAL35899 United States

ISBN: (纸本)9798350324136

This paper presents a novel two-stage approach to enhance the quality and privacy of X-ray medical images. The first stage leverages generative adversarial networks (GANs) for effective denoising, eliminating noise and artifacts from X-ray images while improving the visibility of critical anatomical structures. Subsequently, number-Theoretic transform (NTT) polynomial multiplication is integrated with Kyber to accelerate the encryption and decryption of the denoised X-ray images. This encryption safeguards the privacy of sensitive patient data and provides resilience against potential quantum computing attacks, ensuring long-Term data security. Implementing Kyber-based encryption and decryption on a graphics processing unit (GPU) architecture significantly reduces latency, enabling real-Time and secure access to critical healthcare information. © 2024 IEEE.

关键词： GANs Images denoising Kyber number theoretic transform

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