2023 12th Mediterranean Conference on Embedded Computing (MECO)最新文献_第9页

A Touch-Free Service Button for Smart Elevator Operation with Dynamic QR-code Generation 一种具有动态qr码生成功能的智能电梯免触服务按钮

2023 12th Mediterranean Conference on Embedded Computing (MECO) Pub Date : 2023-06-06 DOI: 10.1109/MECO58584.2023.10155102

U. Reinsalu, T. Robal

引用次数: 0

Literature Review On Metaheuristics Techniques In The Health Care Industry 医疗保健行业中元启发式技术的文献综述

2023 12th Mediterranean Conference on Embedded Computing (MECO) Pub Date : 2023-06-06 DOI: 10.1109/MECO58584.2023.10155079

Anxhela Gjecka, M. Fetaji

{"title":"Literature Review On Metaheuristics Techniques In The Health Care Industry","authors":"Anxhela Gjecka, M. Fetaji","doi":"10.1109/MECO58584.2023.10155079","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155079","url":null,"abstract":"In recent times, machine learning has provided increasingly satisfying results in the field of medicine, providing results with very high accuracy while helping to reduce costs and diagnose the disease in real time. To achieve this, it is necessary to develop different deep machine learning techniques. Some of these are metaheuristic techniques that offer practical solutions for different types of chronic diseases. These types of algorithms have received the most attention in solving optimization problems. Therefore, this paper presents a wide review of the literature for solving the problems of feature selection using metaheuristic algorithms and selecting those that have had the highest performance compared to the results given by other algorithms. In this paper, a study of 71 articles from a research database was carried out, from which metaheuristic algorithms were analyzed and evidenced on the optimization and selection of features for the prediction of chronic diseases using numerical, binary, or even imaging data. The efficiency of the algorithms is measured based on the accuracy results, error rate, F-means, or other parameters or graphical representations found in this study. This work will help researchers to improve any of the methods, hybridize them, or even build applications for predicting diseases in the future. Gaps in this field have also been identified, and future studies should be conducted.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125452649","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

Deep Learning-Based Real-Time Body Measurements Using Device Camera 基于深度学习的设备摄像头实时身体测量

2023 12th Mediterranean Conference on Embedded Computing (MECO) Pub Date : 2023-06-06 DOI: 10.1109/MECO58584.2023.10155096

Nikola Pop Tomov, V. Kokalanov, S. Koceski

引用次数: 0

Thermography: Features and utilization of thermal infrared camera and its application on human body in sports medicine 热成像:热红外相机的特点、应用及其在运动医学中的人体应用

2023 12th Mediterranean Conference on Embedded Computing (MECO) Pub Date : 2023-06-06 DOI: 10.1109/MECO58584.2023.10155032

G. Laštovička-Medin, Dejan Karadžić

引用次数: 0

Comparing Results of Multiple Machine Learning Algorithms on a bilingual dataset for the Detection of Fraudulent News 双语数据集上多种机器学习算法检测虚假新闻的结果比较

2023 12th Mediterranean Conference on Embedded Computing (MECO) Pub Date : 2023-06-06 DOI: 10.1109/MECO58584.2023.10154918

Amogh Jalan, Aniket Gupta, P. Meel

{"title":"Comparing Results of Multiple Machine Learning Algorithms on a bilingual dataset for the Detection of Fraudulent News","authors":"Amogh Jalan, Aniket Gupta, P. Meel","doi":"10.1109/MECO58584.2023.10154918","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10154918","url":null,"abstract":"In today's world, it is pivotal to have to spot fake information as soon as it appears. Due to the vast and quick dissemination of news on the Internet, this is particularly crucial. Equally important is the capacity to determine if an article of news is accurate or false based on its headline. In this paper, we create a multi-lingual dataset and compare various algorithms on it. The outcome will be contrasted with the identification based on the entire text. The purpose of this is to put forth a technique for predicting fake news that strikes a balance between the quantity and quality of data analysis. A large number of studies on automatic fake news identification rely solely on English-language information, with only a few studies evaluating other language groups or contrasting several language features. This research examines textual characteristics that are not restricted to a specific language in the context of describing textual data for news discovery, as the widespread dissemination of false information is a prevalent global problem. To investigate text complexity, stylometric, and psychological aspects, the vocabulary of news articles published in English(American) and Hindi was examined. The traits that were retrieved help in the identification of real and fraudulent news. To create the detection model, we analyzed the performance of four ML algorithms: Multinomial Naive Bayes, Logistic Regression, Bernoulli Naive Bayes, and Bidirectional LSTM. With Logistic Regression and Bernoulli Naive Bayes an average accuracy of 86% was achieved, the results demonstrate that our suggested language-unrelated showcases are effective in classifying untrue and real news between two separate languages.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117250907","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

Gestures detection and device control in AAL environments using machine learning and BLEs 使用机器学习和BLEs的AAL环境中的手势检测和设备控制

2023 12th Mediterranean Conference on Embedded Computing (MECO) Pub Date : 2023-06-06 DOI: 10.1109/MECO58584.2023.10154987

Alexandros Spournias, Evanthia Faliagka, Theodoros Skandamis, Christos D. Antonopoulos, N. Voros, G. Keramidas

{"title":"Gestures detection and device control in AAL environments using machine learning and BLEs","authors":"Alexandros Spournias, Evanthia Faliagka, Theodoros Skandamis, Christos D. Antonopoulos, N. Voros, G. Keramidas","doi":"10.1109/MECO58584.2023.10154987","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10154987","url":null,"abstract":"This paper presents a system for detecting gestures and controlling devices in Ambient Assisted Living (AAL) environments using machine learning and Bluetooth Low Energy (BLE) technology. The system consists of two main components: a device equipped with a set of sensors to detect hand gestures via IMU sensor and a BLE-enabled hub that receives the gesture data and controls the lighting of the house. The hub uses machine learning algorithms to recognize hand gestures and transmit the corresponding commands to the devices. The hub, in turn, uses wifi to communicate with the devices and execute the appropriate actions based on the received commands. The proposed system's performance evaluation was carried out through a series of experiments in a AAL environment. The results demonstrate that the system is capable of accurately detecting hand gestures and controlling various devices such as lights, where the model's performance yields successful predictions with an accuracy rate of 90%. The proposed system provides a user-friendly and intuitive way for elderly or people with disabilities to control their environment without the need for complex interfaces or physical buttons. Furthermore, the system can be easily extended to support more gestures and devices, making it a flexible and scalable solution for AAL environments.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131806567","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

Efficient Management, Control and Analysis of IoT-NDN Devices through “NDN4IoT” App Integrated with FIWARE 通过与FIWARE集成的“NDN4IoT”App对IoT-NDN设备进行高效管理、控制和分析

2023 12th Mediterranean Conference on Embedded Computing (MECO) Pub Date : 2023-06-06 DOI: 10.1109/MECO58584.2023.10155059

M. A. Hail

{"title":"Efficient Management, Control and Analysis of IoT-NDN Devices through “NDN4IoT” App Integrated with FIWARE","authors":"M. A. Hail","doi":"10.1109/MECO58584.2023.10155059","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155059","url":null,"abstract":"The development of mobile applications for IoT systems has become increasingly important due to their ability to provide remote control, monitoring, and efficient analysis of device data for effective device management and decision-making. In recent years, the research on Named Data Networking (NDN) for IoT systems has focused on addressing challenges such as device heterogeneity, network scalability, data privacy, and efficient communication protocols for IoT-NDN devices. This paper presents the design of an app called “NDN4IoT” that enables remote management, control, and observation of IoT devices that utilize NDN technology. The app is integrated with the FIWARE IoT platform, which allows for the retrieval and storage of log information from the IoT-NDN devices. This log information can be used for critical data analysis and decision-making purposes before device failure. The proposed app design provides a user-friendly interface that enables efficient management and monitoring of the IoT-NDN devices remotely. This solution addresses the challenges of managing and controlling IoT devices, specifically those utilizing NDN technology, and enables efficient use of log data for analysis and decision-making purposes.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133895475","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

Energy-efficient Cyber Physical Social System for Transportation with Appointments 交通预约节能网络物理社会系统

2023 12th Mediterranean Conference on Embedded Computing (MECO) Pub Date : 2023-06-06 DOI: 10.1109/MECO58584.2023.10155043

Matthias Dziubany, A. Schmeink, Guido Dartmann

{"title":"Energy-efficient Cyber Physical Social System for Transportation with Appointments","authors":"Matthias Dziubany, A. Schmeink, Guido Dartmann","doi":"10.1109/MECO58584.2023.10155043","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155043","url":null,"abstract":"Time windows have great importance in the design of cyber physical systems (CPS) for transportation. In contrast to most transportation systems, where the time flexibility of customers is inadequately represented by fixed pick-up or delivery time windows, this paper assigns optimized pick-up or delivery time windows (appointments) with certain length inside exogenous flexibility time windows. The concept of appointments in flexibility time windows enables customers to report their true time flexibility, while keeping the pick-up or delivery time window short. By integrating the customers time flexibility substantially in the optimization of the transportation system, it well-deserved the description of cyber physical social system (CPSS). Simulations on the cordeau dataset confirm, that the new time window concept is very promising, since an user-accepted exploitment of time flexibility yields to less transportation costs. Further, our mixed integer program (MIP) determining appointment time windows, can also be used as a very fast preprocessing technique to shrink time windows in transportation problems, which yields to energy-efficient computation.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134061605","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

New Method of Hash Functions Analysis 哈希函数分析的新方法

2023 12th Mediterranean Conference on Embedded Computing (MECO) Pub Date : 2023-06-06 DOI: 10.1109/MECO58584.2023.10154990

A. Levina, Andrew Plotnikov, Efim Ashmarov

引用次数: 0

Group Decision-Making Models for Selection of Virtual Machine Software for Malware Detection Purposes 基于恶意软件检测的虚拟机软件选择的群体决策模型

2023 12th Mediterranean Conference on Embedded Computing (MECO) Pub Date : 2023-06-06 DOI: 10.1109/MECO58584.2023.10155084

D. Borissova, Iliyan Barzev, R. Yoshinov, Monka Kotseva

引用次数: 0