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Design and Implementation of a LoRa-based Home Monitoring System with Heltec ESP32 Gateway 基于lora的Heltec ESP32网关家庭监控系统的设计与实现
2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194216
Akmaljon Latifov, Aneesh Pradeep
{"title":"Design and Implementation of a LoRa-based Home Monitoring System with Heltec ESP32 Gateway","authors":"Akmaljon Latifov, Aneesh Pradeep","doi":"10.1109/ECAI58194.2023.10194216","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194216","url":null,"abstract":"The design and implementation of a smart home monitoring system using LoRa and a Heltec ESP32 gateway are presented in this paper. The suggested system uses several LoRa-based sensors dispersed throughout a house to track various environmental factors like temperature, humidity, and air pressure. The Heltec ESP32 gateway, which serves as the system's hub, receives the sensor data wirelessly after being gathered. The gateway processes the sensor data, stores it in a database, and provides the user with real-time monitoring and control capabilities via a web-based interface. We demonstrate the effectiveness of the proposed system through experimental evaluations in a simulated home environment.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"49 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":"122982288","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}
引用次数: 0
Performance Evaluation of Block Size Influence on Blockchain-Enabled IoT Data Storage 区块大小对支持区块链的物联网数据存储影响的性能评估
2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194108
Alexandru A. Maftei, A. Lavric, A. Petrariu, V. Popa
{"title":"Performance Evaluation of Block Size Influence on Blockchain-Enabled IoT Data Storage","authors":"Alexandru A. Maftei, A. Lavric, A. Petrariu, V. Popa","doi":"10.1109/ECAI58194.2023.10194108","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194108","url":null,"abstract":"The increasing number of IoT devices has led to a significant growth in the number of generated data packets that require secure storage and processing solutions. Blockchain technology offers potential benefits for storing IoT data, leveraging its decentralized, distributed, and immutable nature. In a blockchain, the data provided by IoT sensors is stored as transactions within data blocks that form the blockchain network. However, the block size plays a crucial role in ensuring the security and scalability of IoT applications. To address this, our research paper focuses on determining the optimal block size for storing information from IoT sensors. By carefully selecting the optimal block size, we aim to address the unique requirements of IoT applications, ensuring their security and scalability while leveraging the potential of blockchain technology for securely storing and processing IoT data packets.","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":"124096795","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}
引用次数: 0
Blockchain-based Security Framework for Metaverse: A Decentralized Approach 基于区块链的虚拟世界安全框架:一种去中心化的方法
2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10193962
A. Rajawat, S. B. Goyal, R. Solanki, M. Răboacă, Traian Candin Mihaltan, Z. Illés, Chaman Verma
{"title":"Blockchain-based Security Framework for Metaverse: A Decentralized Approach","authors":"A. Rajawat, S. B. Goyal, R. Solanki, M. Răboacă, Traian Candin Mihaltan, Z. Illés, Chaman Verma","doi":"10.1109/ECAI58194.2023.10193962","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10193962","url":null,"abstract":"People can act out fake social exchanges in the Metaverse, which is an online community. Security has become a problem in the Metaverse because there are so many online transactions and digital assets. In this thesis, a Blockchain-based security system for the Metaverse is proposed. This would be a decentralised way to keep the virtual world safe. Our system uses Blockchain's autonomous structure to make sure that all financial transactions in the Metaverse are safe, anonymous, and true. We suggest a new consensus process that combines Proof of Stake (PoS) and Proof of Authority (PoA) to make networks safer and allow them to grow. We also have a user-focused, decentralised identity management system that keeps their information safe. We also suggest a way to process Metaverse transactions safely that is based on smart contracts. Our method makes sure that transactional proof, recording, and validation are done in a safe and reliable way. We also show a reputation system that benefits people who follow the law and punishes people who break the law. Lastly, we test how well our suggested structure works with simulations and real-world tests. The results show that our way works to reduce possible security risks in the Metaverse and create a safe, scalable environment for online business. Overall, our Blockchain-based Security Framework for Metaverse: A Decentralised Approach is a good way to keep the security and privacy of digital activities in Metaverse.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"22 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":"134329944","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}
引用次数: 0
Sequential Convex Program for Variable Speed Pump Scheduling in Water Distribution Systems 配水系统中变速泵调度的序贯凸规划
2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194075
Pham Duc Dai
{"title":"Sequential Convex Program for Variable Speed Pump Scheduling in Water Distribution Systems","authors":"Pham Duc Dai","doi":"10.1109/ECAI58194.2023.10194075","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194075","url":null,"abstract":"Operation of water distribution systems (WDSs) to reduction of water leakage can be achieved by properly operating variable speed pumps (VSPs). This practical problem can be casted into a nonlinear program (NLP) where decision variables are relative speeds of pumps while the state variables are flows and nodal heads. The formulated NLP consists of both convex and non-convex constraints, for this reason, we proposed to apply the sequential convex programming technique (SCP) for solving the NLP. The advantage of the SCP method lies in the fact that instead of solving the non-convex NLP, we solve sequential convex NLPs and, in this case, it requires less number of iterates for solution convergence than solving the problem directly by using standard NLP solvers. The effectiveness of the approach was demonstrated on two WDSs for optimal VSP scheduling problem","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"59 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":"132949410","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}
引用次数: 0
Smart System using Blockchain for Medical Diagnosis 使用区块链进行医疗诊断的智能系统
2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194219
F. Enescu, Nicolăescu Cosmin-George, N. Bizon
{"title":"Smart System using Blockchain for Medical Diagnosis","authors":"F. Enescu, Nicolăescu Cosmin-George, N. Bizon","doi":"10.1109/ECAI58194.2023.10194219","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194219","url":null,"abstract":"Blockchain is a technology that is currently widespread in many fields, it is used to transmit information between two or more parties in a secure way, without the possibility of data loss or interception by an unwanted third party. A blockchain network represents the creation of innovative solutions for the healthcare system, as patient data can be exchanged across hospitals, diagnostic labs, pharmacy firms and doctors. In this paper the topic of blockchain technology and its significant benefits in the field of medical diagnostics is addressed. With the proposed solution a misdiagnosis can be avoided, as there is the possibility to ask for other opinions from other health professionals. The highest level of security information storage allows authorised doctors to access your data from any geographical location, with no territorial limitations. Provides fast, versatile interconnection and enhanced security of patient information. In conclusion, this technology can be incorporated into the current medical system.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"251-252 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":"130749529","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}
引用次数: 0
Optimal Design of a Hybrid Controller for DC-DC Buck Converter DC-DC降压变换器混合控制器的优化设计
2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194191
H. Shayeghi, Reza Mohajery, N. Bizon
{"title":"Optimal Design of a Hybrid Controller for DC-DC Buck Converter","authors":"H. Shayeghi, Reza Mohajery, N. Bizon","doi":"10.1109/ECAI58194.2023.10194191","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194191","url":null,"abstract":"The world of electrical energy applications heavily relies on power electronic converters. They are found in various fields and are crucial to efficient power management. Due to the nonlinear characteristics of DC-DC converters, the output voltage fluctuates periodically, causing the device to be sensitive to even little changes when the circuit parameters are varied. Consequently, the nonlinear structure and rapid dynamics of these converters add to the complexity of their control process. This paper presents a modified method for controlling the conventional DC-DC buck converter by cascading a Proportional-Integral-Derivative (PID) controller with a One plus Proportional-Integrator (PI) controller. The optimal implementation of the controller parameters is achieved by utilizing the slime mould optimization algorithm (SMA). This mechanism regulates the output voltage in response to changes in the input voltage and output load. With the ISTSE index serving as the objective function, the suggested controller coefficients aim to obtain the lowest possible value for the time- domain performance indexes of the closed-loop system. Then the effectiveness of the proposed PID(1+PI) controller has been shown via comparisons to the widely used PID controller. According to the simulation findings, the SMA-based PID(l+PI) controller outperforms the PID controller in settling and rise time reduction over various operating conditions.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"42 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":"133735234","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}
引用次数: 0
Reinforcement Learning for a Continuous DC Motor Controller 连续直流电动机控制器的强化学习
2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10193912
Bucur Cosmin, Tasu Sorin
{"title":"Reinforcement Learning for a Continuous DC Motor Controller","authors":"Bucur Cosmin, Tasu Sorin","doi":"10.1109/ECAI58194.2023.10193912","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10193912","url":null,"abstract":"Electric motors control is a very knows topic in research and most of the activities are drawn towards classic PI or model predictive control methods. Implementing reinforcement learning techniques in the field of motor control depends on fidelity environments, types of considered motors and modeled power electronics used for control. Training an RL speed controller means finding an optimal control policy by offline training using an environment, before implementing it in a real-world scenario. Different environments and techniques have been developed for training RL controllers, most of them being extensions of Open AI gym environments. This paper presents a trained RL speed controller, developed through Reinforcement learning techniques, specifically TD3 RL algorithm, applied to permanently excited dc motors. In this work, the open-source Python package gym-electric-motor (GEM) [1] is used for environment setup, and pytorch framework for developing the controller.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"13 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":"129209604","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}
引用次数: 0
IoE simulation with Cisco Packet Tracer 物联网模拟与思科数据包跟踪
2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194081
C. Stanescu, F.G. Apostol, G. Predusca, L. Circiumarescu, N. Angelescu, D. Puchianu
{"title":"IoE simulation with Cisco Packet Tracer","authors":"C. Stanescu, F.G. Apostol, G. Predusca, L. Circiumarescu, N. Angelescu, D. Puchianu","doi":"10.1109/ECAI58194.2023.10194081","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194081","url":null,"abstract":"This work aims to simulate several practical Internet of Everything (IoE) scenarios that one can experience in real world applications. The network components are based on IoE sensors. All devices are interconnected in the network architecture, and a backend intelligence executes logic and data analysis based on the gathered sensor data. This work uses a variety of Cisco components to provide a completely functional network (routers, switches, servers, etc). Also, there are illustrations of IoE smart devices that are already interconnected in the simulation. To provide setup examples for more complex applications, the programming of these sensors and the backend logic are both provided.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"103 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120878203","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}
引用次数: 0
Machine Learning Techniques for Analysis of Mars Weather Data 火星天气数据分析的机器学习技术
2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194233
P. Pant, A. Rajawat, S. B. Goyal, Baharu Bin Kemat, Traian Candin Mihaltan, Chaman Verma, M. Răboacă
{"title":"Machine Learning Techniques for Analysis of Mars Weather Data","authors":"P. Pant, A. Rajawat, S. B. Goyal, Baharu Bin Kemat, Traian Candin Mihaltan, Chaman Verma, M. Răboacă","doi":"10.1109/ECAI58194.2023.10194233","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194233","url":null,"abstract":"The exploration of Mars has provided vast amounts of weather data that present unique challenges for analysis and prediction. To address these challenges, this research paper focuses on the application of machine learning techniques for the analysis of Mars weather data. The objective is to develop models that can effectively extract patterns, uncover hidden relationships, and enable accurate predictions in the Martian weather system. The research begins with a comprehensive review of the available Mars weather data. The dataset, consisting of historical records, serves as the foundation for training and evaluating machine learning models. The analysis of the Mars weather dataset reveals the planet's icy and harsh climate, with average maximum temperatures of around -21°C and average minimum temperatures of -80°C. The temperature variations show that the minimum temperature fluctuates within a narrower range of 20-30°C over the course of Mars sols from 0 to 2000, while the maximum temperature experiences larger variations of about 40-50°C. During this time, the atmospheric pressure on Mars fluctuates between 720 Pa and 950 Pa. In addition, using the elbow method revealed that 3 clusters were the ideal number for identifying distinct patterns in the weather data. The linear regression model also attained an accuracy of 85%, demonstrating its efficacy in forecasting weather patterns on Mars.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"19 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":"115929939","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}
引用次数: 0
Unveiling the Post-Covid Economic Impact Using NLP Techniques 利用NLP技术揭示疫情后的经济影响
2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194111
Kanishk Barhanpurkar, T. J. Watson, S. Goyal, Nikita Mandlik, Traian Candin Mihaltan, M. Răboacă, A. Rajawat, Chaman Verma
{"title":"Unveiling the Post-Covid Economic Impact Using NLP Techniques","authors":"Kanishk Barhanpurkar, T. J. Watson, S. Goyal, Nikita Mandlik, Traian Candin Mihaltan, M. Răboacă, A. Rajawat, Chaman Verma","doi":"10.1109/ECAI58194.2023.10194111","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194111","url":null,"abstract":"The research paper presents a novel analysis of textual data based on Natural Language Processing (NLP) techniques to analyse New York Times articles from January 2019 to May 2023. The purpose of this paper is to gain an understanding of the economic impact that follows Covid-19 disease. New York Times (NYT), it was started in 1884 is one of the most prominent newspapers in the world. Additionally, we have used the New York Times Archive API to collect the data for the given timeframe. By analysing sentiment analysis, topic modelling, entity recognition, and keyword extraction, valuable insights can be gathered into market trends, industry shifts, and policy interventions. The authors have created a data science pipeline using Amazon Web Services (AWS), which enables data collection, storage, and visualization. It contributes to a better understanding of the pandemic's short-term and long-term economic effects. The results of this study demonstrate Natural Language Processing techniques' potential as a tool for financial analytics, assisting policymakers, economists, and businesses in formulating recovery strategies.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"32 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":"123191478","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}
引用次数: 0
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