M. Vuković, V. Vujovic, Zorana Štaka, S. Milinkovic
{"title":"Domain-Specific Language for Modeling Fluent API","authors":"M. Vuković, V. Vujovic, Zorana Štaka, S. Milinkovic","doi":"10.1109/ECAI58194.2023.10194083","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194083","url":null,"abstract":"The fluent API is most often used when there is a need to implement a certain flow of execution of operations, which is achieved by the method chaining technique. Conventional methods of implementing fluent API such as manual coding require a lot of development time and increase the chances of errors. The lack of visual representation of the relationships between interfaces and methods makes it difficult to understand them. This paper presents the design and implementation of the model-based graphical development tool, which is built using Domain-Specific Language that relies on fluent API grammar rules. The proposed tool is implemented as a Microsoft Visual Studio extension using DSL Tools, and it can be used for graphical modeling of the fluent API structure. Such a graphical development tool is the first step towards the automated process of generating the code skeleton of the fluent API structure out of its domain model.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129056297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Improved Fast Terminal Sliding Mode Control for Step-Down Converter","authors":"Çağdaş Hisar, Güven Balta, N. Altin, I. Sefa","doi":"10.1109/ECAI58194.2023.10193975","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10193975","url":null,"abstract":"In this study, an improved fast terminal sliding-mode control (FTSMC) is presented to control the output voltage of the DC-DC step-down converter. It has been compared to other techniques in the literature, including traditional sliding mode control (SMC) and terminal sliding mode control TMSC to demonstrate its performance. The proposed method and all other mentioned methods have been tested in simulation environment. The obtained simulation results are compared in terms of performance of converging error to zero for various conditions such as input voltage variations, step load change and tracking process. The obtained results show that the proposed improved FTSMC method provides the fastest convergence, the smallest rising time, and the smallest steady-state error than the SMC and TSMC method. In addition, no capacitor current was used in the simulations. The backward-euler method was integrated into the sliding surface used and thus only one sensor was used to control the state variables of the respective converter.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123910974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IoT ESP32 device for remote experiment manipulation within a LiFePO4energy storage study","authors":"Issa Fadelallah, M. Ardeleanu, E. Diaconu","doi":"10.1109/ECAI58194.2023.10194049","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194049","url":null,"abstract":"The need to create an experimental setup, geographically isolated, intended for a study regarding the storage of electricity in LiFePO4type batteries, required the creation of an IoT device through which data can be retrieved and a series of targeted parameters can be obtained. ESP32 is a cheap and powerful microcontroller, easily programmable, with IoT capabilities. The present work presents the concept that was the basis of the creation of the device, the presentation of the device made in the prototype stage and supported by experimental data obtained through the effective exploitation of the equipment. The focus of the work is on the excellent performance of the ESP32 offered on the market at a very affordable price.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123978160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Mihailescu, Stefania Loredana Nita, M. Rogobete, Valentina Marascu
{"title":"Unveiling Threats: Leveraging User Behavior Analysis for Enhanced Cybersecurity","authors":"M. Mihailescu, Stefania Loredana Nita, M. Rogobete, Valentina Marascu","doi":"10.1109/ECAI58194.2023.10194039","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194039","url":null,"abstract":"The rapid evolution of cyber threats has made it imperative for organizations to develop robust cybersecurity strategies. While traditional defense mechanisms focus on network and system-level protection, recent research has highlighted the critical role of understanding user behavior in preventing and mitigating cyberattacks. This paper introduces a novel approach which utilizes advanced analytics techniques to analyze and interpret user actions, patterns, and anomalies to identify potential threats and enhance overall cybersecurity measures. The methodology employed in this research leverages user behavior analysis (UBA) as a proactive defense mechanism against emerging cyber threats. By collecting and analyzing data from various sources, including user interactions, login activities, system logs, and application usage patterns, the proposed approach aims to identify abnormal behaviors that could indicate the presence of malicious actors or compromised user accounts. Furthermore, by incorporating machine learning algorithms and anomaly detection techniques, the system can adapt and learn from evolving attack vectors, increasing its effectiveness over time.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"16 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114023846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Handling Delayed Labeling of EEG Data Stream Using Semi-Supervised Label Propagation","authors":"Hayder K. Fatlawi, A. Kiss","doi":"10.1109/ECAI58194.2023.10193922","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10193922","url":null,"abstract":"Research interest in data stream classification is increasing through the development of adaptive machine learning techniques. These techniques involve continuously adjusting the classification model in response to changes in the data distribution. Most of these techniques assume instance labeling for the classes to perform the model adapting process, and this assumption is rare with actual data. This work proposes using a semi-supervised label propagation technique to infer many delayed labels (considered missing values) from limited known values in a data stream. The work's implementation included using two imbalanced EEG datasets, CUB-MIT Scalp and Siena Scalp datasets, to evaluate the proposed method with various values for missing ratios. The results showed the proposed method's ability to recover all the negative class values in both datasets with a missing percentage reaching 70%. Due to the rare positive class, the recovery of its value decreased with more than 30% missing ratio.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121704187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Blockchain Technology in Improving Transparency and Efficiency in Government Operations","authors":"Abdusamad Nigmatov, Aneesh Pradeep, Nafisa Musulmonova","doi":"10.1109/ECAI58194.2023.10194154","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194154","url":null,"abstract":"Blockchain technology has garnered significant attention and investment in various industries, including the government and public sector. This research paper explores how blockchain technology can enhance government operations by making them more transparent and efficient. A literature review and case studies of blockchain implementation in government are conducted to identify the key benefits and challenges of this technology. The paper also provides examples of blockchain applications in government, such as voting systems. This paper explores the benefits of using blockchain technology in creating a secure and transparent voting system. The proposed blockchain-based voting system uses smart contracts to automate the voting process and eliminate the need for intermediaries, ensuring the accuracy and integrity of the vote count. The use of blockchain technology also enables the creation of an immutable and transparent ledger of all voting transactions, ensuring that the election results are auditable and verifiable. The paper also discusses the potential challenges associated with implementing a blockchain-based voting system and suggests possible solutions to address these challenges.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131956396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Stanescu, Laurentiu Gabriel Militaru, G. Predusca, L. Circiumarescu, N. Angelescu, D. Puchianu
{"title":"VoIP system for Wi-Fi Networks and Smart Terminals","authors":"C. Stanescu, Laurentiu Gabriel Militaru, G. Predusca, L. Circiumarescu, N. Angelescu, D. Puchianu","doi":"10.1109/ECAI58194.2023.10194061","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194061","url":null,"abstract":"The objective of this article is to investigate Voice over Internet Protocol (VoIP), wireless connections, and security protocols utilized in this network context. VoIP (Voice over Internet Protocol) is a technique that allows you to make phone calls via the Internet without using an analog phone system. The Voice over Wireless service was developed in early 2003 and was used in locations with many employees, such as hospitals, factories, and office buildings, where employees contact each other through Voice over Wireless LAN services that do not involve an additional management cost.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130147826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Oproescu, Ion Mihaila, N. Bizon, Dumitru Tudosoiu, Vasile-Gabriel Iana, Leonard Julien Fleancu, F. Cojanu, V. Potop, M. Ilie, Daniela Corina Popescu
{"title":"Detection and Analysis of Motricity and Somato-Functional Indices of 3X3 Basketball Players to Customize Sports Training","authors":"M. Oproescu, Ion Mihaila, N. Bizon, Dumitru Tudosoiu, Vasile-Gabriel Iana, Leonard Julien Fleancu, F. Cojanu, V. Potop, M. Ilie, Daniela Corina Popescu","doi":"10.1109/ECAI58194.2023.10194186","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194186","url":null,"abstract":"In the game of basketball in general and in the game of 3x3 basketball, the emphasis is on general physical training and not on specific training, thus allowing the players to have a multilateral training. In order to facilitate the players' positional specialization, the paper aims to improve the body's main functions, allowing adaptation to effort and, at the same time, optimizing athletes' performances. The research that represents the premises of this paper is based on motricity, somato-functional and medical evidence and aims to identify, using predictive and corrective techniques with artificial intelligence (AI), the factors that contribute to the development of an adaptive sports training model for basketball players 3X3. Thus, the goal is to optimize the performance of 3X3 basketball players. By adapting the acquisition of somato-functional and motricity indices respectively, the training model can be applied in other individual or team sports.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132806951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data management in intellectual property organizations","authors":"R. Moisescu, C. Oprean, A. M. Țîțu","doi":"10.1109/ECAI58194.2023.10194199","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194199","url":null,"abstract":"Through this document, we propose an analysis of methods for improving the management of computer data in the context of the need to save, protect and secure them. The implementation of a data saving and restoration system that corresponds to the ISO27001:2018 standard as proposed in this document has the advantage of ensuring an environment in which, in case of disasters, saved data and important applications can be recovered ensuring thus the possibility of continuing the institution's operations in disaster cases. We will present a point of view on the principles and technologies that must be implemented to ensure the restoration of data and the continuation of the operations of intellectual property (IP) organizations after a possible disaster scenario.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130811939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Intelligence in Data Analysis for Open-Source Investigations","authors":"Teodor-Cristian Radoi","doi":"10.1109/ECAI58194.2023.10193894","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10193894","url":null,"abstract":"The developed OSINT platform organizes data hierarchically and integrates a GPT model for faster, easier large data processing. Users can interact with the GPT model through natural language communication with a virtual agent for data processing commands. Open source investigations face challenges like vast data volumes and incorrect information. To address these issues, a real-time data processing tool is needed. Our OSINT platform integrates a GPT model trained to learn from data, enhancing the efficiency of open source investigations. We assessed various natural language processing models, focusing on the benefits of pretraining, fine-tuning., and generative models in open source investigations. GPT models excel due to pretraining on extensive text data, allowing fine-tuning for specific tasks and domains., giving investigators a robust tool for text analysis. The generative nature of GPT models benefits OSINT investigations by producing human-like text for extracting insights and identifying patterns. Fine-tuning enables customization to specific domains or topics., increasing accuracy and reliability while reducing time and effort in data analysis. In conclusion., our OSINT platform presents an innovative solution for open source investigations by incorporating a GPT model for efficient information processing. The Davinci model by OpenAI outperforms other evaluated models., enhancing investigation efficiency and maintaining grammatical accuracy. This work highlights the significance of natural language processing models in open source investigations and paves the way for future research.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130872591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}