2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)最新文献_第8页

Outlier Detection Approach for Discovering Anomalous Maritime Profiles 异常海洋剖面的异常点检测方法

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10193981

Alexandru-Ionuţ Pohonţu, Robert Gheorghe, C. Vertan

{"title":"Outlier Detection Approach for Discovering Anomalous Maritime Profiles","authors":"Alexandru-Ionuţ Pohonţu, Robert Gheorghe, C. Vertan","doi":"10.1109/ECAI58194.2023.10193981","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10193981","url":null,"abstract":"Maritime authorities play a key role in ensuring the safety and security of shipping lanes and ports. The port state control mechanism enables these authorities to physically verify suspect vessels (e.g., involved in smuggling or piracy events), but choosing the most relevant vessels to be inspected represents a challenging task. This decision can be enhanced by AI-powered systems that analyse large amounts of data, identify patterns and report all observed discrepancies. This paper presents a statistical analysis on the temporal durations of four types of naval statuses: sailing, docked in port, waiting at anchor and not transmitting AIS data. These durations were extracted from the historical activity of different classes of vessels that passed the Black Sea region (Romanian Exclusive Economic Zone) in 2022. Probability density functions were built for these vessels and all statuses' durations were fitted into known parametric distributions. Finally, the paper shows the results of multiple outlier detection algorithms that searched for anomalous data in a multivariate manner.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"35 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":"123533493","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

Copyright 版权

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ecai58194.2023.10194129

引用次数: 0

A Digital Twin Approach of A-vent Wireless Sensor for Real-Time and Predictive Monitoring of Patient Ventilator Asynchrony 一种用于患者呼吸机不同步实时和预测监测的A-vent无线传感器数字孪生方法

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194042

C. Oppus, Paul Ryan A. Santiago, J. B. Torres, Neil Angelo M. Mercado, P. Cabacungan, Reymond P. Cao, Nerissa G. Cabacungan, G. Tangonan

{"title":"A Digital Twin Approach of A-vent Wireless Sensor for Real-Time and Predictive Monitoring of Patient Ventilator Asynchrony","authors":"C. Oppus, Paul Ryan A. Santiago, J. B. Torres, Neil Angelo M. Mercado, P. Cabacungan, Reymond P. Cao, Nerissa G. Cabacungan, G. Tangonan","doi":"10.1109/ECAI58194.2023.10194042","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194042","url":null,"abstract":"Prior to the recent work on a low-cost Ateneo mechanical ventilator machine named A-vent, this study demonstrated a simple Digital Twin approach for a real-time monitoring system that can be useful to any mechanical ventilator unit. Previous research concentrated on A-vent design, Near Cloud data caching, and Machine Learning model development. However, it lacks Internet of Things capabilities for remote monitoring applications. This work incorporates new software components to a Near Cloud server that stores and monitors the ventilator and patient data across the wireless network. Wireless sensor nodes attached to the A-vent and patient interaction model capture the time-series waveform of the ventilator, its predictive analysis, and oximeter values. The data queries command displays the data stored in the Near Cloud databases on the monitoring dashboard. It shows a digital representation of the system, allowing real-time updates to be viewed remotely and easily comprehended.","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":"130040688","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

Optimum Energy Management of the Price-Maker Virtual Power Plant Including Electric Vehicles 包括电动汽车在内的定价虚拟电厂的最优能量管理

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10193892

H. Shayeghi, Nafiseh Taati, S. Seyed-Shenava, A. Rahnama, N. Bizon

引用次数: 0

Preliminary Architecture and a Pilot Implementation for a Malicious Emails Detection Solution 恶意电子邮件检测解决方案的初步架构和试点实现

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10193949

Cosmina Stalidi, E. Popovici, G. Suciu

引用次数: 0

Path Planning Optimization of Automated Guided Vehicles using Chaotic Marine Predators Algorithm 基于混沌海洋掠食者算法的自动引导车辆路径规划优化

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194088

T. A. Rahman, L. Chek

{"title":"Path Planning Optimization of Automated Guided Vehicles using Chaotic Marine Predators Algorithm","authors":"T. A. Rahman, L. Chek","doi":"10.1109/ECAI58194.2023.10194088","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194088","url":null,"abstract":"This paper presents the collision-free path planning approach for automated guided vehicle (AGV) in an intelligent warehouse environment, optimized by means of recent well-known meta-heuristic algorithms. This novel approach is an assessment and possibilities for path planning and scheduling of the multi-AGVs to complete the given tasks in a minimal travel distance with optimal operation time. Six different metaheuristic algorithms such as PSO, MELGWO, GTO, SFS, MPA and chaotic-improved MPA are compared for the AGVs path optimization capability. In order to test the robustness of the proposed approaches, four different scenarios are presented which include a general obstacle avoidance and three tasks in simple maps that treated as an intelligent warehouse environment. In each scenario, the obstacles are placed in such a way to increase the overall path complexity for an AGV to reach the target destination. The exploration and exploitation phases in the MPA algorithm are enhanced simultaneously by replacing the conventional Gaussian random with chaotic operators to ensure its effectiveness in AGVs path planning optimization. The chaotic MPA algorithm outperforms other algorithms based on the statistical analysis results with overall improvement of 11.0171% in comparison to unoptimized probabilistic roadmap method (PRM) planner. In conclusion, the chaotic MPA algorithm can be efficiently optimized the AGVs path planning in all aforementioned environments.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"29 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":"121463071","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

Scalable Web-based Application for Dynamic Multi-Tenant Hotel Reservation Management 可扩展的基于web的动态多租户酒店预订管理应用程序

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194113

Joseph Wewasse Mahomy, Maria Ioana Oproiu

引用次数: 0

Intelligent Blocking System for Mobile Communications Initiated by Unauthorized Users 针对非授权用户发起的移动通信智能阻断系统

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194110

Eduard-Marian Bădulă, S. Halunga, O. Fratu, Mircea Popescu

{"title":"Intelligent Blocking System for Mobile Communications Initiated by Unauthorized Users","authors":"Eduard-Marian Bădulă, S. Halunga, O. Fratu, Mircea Popescu","doi":"10.1109/ECAI58194.2023.10194110","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194110","url":null,"abstract":"Smartphones are nowadays extremely popular mobile devices and have the potential to make people”s lives easier, but there are times and places where phones should not be used. A possible solution to this problem is a mobile phone jammer system with the purpose to effectively disrupt the mobile service between the user equipment and the base station. The proposed solution consists of a mobile phone emission detector that identifies the increase in power level in one of the monitored Long Term Evolution (LTE) uplink bands which indicates data traffic between the mobile phone and the base station and triggers the entry into operation of the jamming device creating a denial-of-service attack in the LTE downlink band corresponding to the detected uplink emission. In order to ensure minimum power consumption, while maintaining full efficiency of the jamming system, after an adjustable period of time, the emission operation is stopped and the system goes back into detection mode. The system can be build using Software Defined Radio (SDR) technology and GNU Radio software to program and control the SDR devices.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"18 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":"115367193","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

Preparing students for university and research careers in science and engineering 为学生在科学和工程领域的大学和研究工作做好准备

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194190

M. Dicu, A. Balteanu, M. Bâldea

引用次数: 0

Optimal Sizing of Security Constrained Unit Commitment Problem Integrated with Renewable Energy Sources and PEVs 集成可再生能源和pev的安全约束机组承诺问题的最优规模

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Pub Date : 2023-06-29 DOI: 10.1109/ECAI58194.2023.10194085

Pravin G. Dhawale, Vikram Kumar Kamboj, S. K. Bath, Chaman Verma, M. Răboacă, C. Filote, Deepak Kumar

{"title":"Optimal Sizing of Security Constrained Unit Commitment Problem Integrated with Renewable Energy Sources and PEVs","authors":"Pravin G. Dhawale, Vikram Kumar Kamboj, S. K. Bath, Chaman Verma, M. Răboacă, C. Filote, Deepak Kumar","doi":"10.1109/ECAI58194.2023.10194085","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194085","url":null,"abstract":"Optimal sizing of SCUCP with solar energy and PEVs is crucial for electric power system operation and planning. This paper presents a Chaotic Arithmetic Optimization Algorithm to minimize cost while optimizing the sizing of solar energy and PEV systems. The proposed framework integrates probabilistic forecasting models for solar power generation and realistic EV charging profiles based on travel patterns and infrastructure characteristics. It aims to find optimal sizes for Solar power plants and EV charging infrastructure, considering system demand, cost, emissions, and reliability. The Chaotic Arithmetic Optimization Algorithm efficiently solves the optimization problem by accounting for the complexities of SCUCP. The research evaluates the proposed approach using benchmark test systems of varying dimensions and power systems. The results enable informed decision-making by identifying optimal capacities for solar power plants and charging infrastructure, leading to improved system reliability, reduced emissions, and minimized costs.","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":"131080297","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