计算机工程与设计最新文献_第5页

An Intelligent Microprocessor Integrating TinyML in Smart Hotels for Rapid Accident Prevention 集成TinyML的智能微处理器在智能酒店中的快速事故预防

计算机工程与设计 Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932982

Angelos Zacharia, Dimitris Zacharia, Aristeidis Karras, Christos N. Karras, I. Giannoukou, K. Giotopoulos, S. Sioutas

{"title":"An Intelligent Microprocessor Integrating TinyML in Smart Hotels for Rapid Accident Prevention","authors":"Angelos Zacharia, Dimitris Zacharia, Aristeidis Karras, Christos N. Karras, I. Giannoukou, K. Giotopoulos, S. Sioutas","doi":"10.1109/SEEDA-CECNSM57760.2022.9932982","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932982","url":null,"abstract":"In the modern era of Internet of Things (IoT) and Industry 4.0 there is a growing need for intelligent microcontrollers that can collect, sense and analyse data effectively and efficiently. Such devices can be installed in large scale IoT deployments ranging from smart homes to smart cities and smart buildings. The aim of these devices shall be not only data monitoring but at the same time energy saving and overall building management. In the context of this paper, an all-in-one microprocessor is presented, namely ZAC888DP, which can sense data from multivariate sources and perform data analytics on top of the collected data. Moreover, machine learning (ML) models are deployed in the embedded memory of the device and specifically TinyML methods using a tflite file. The aim of the developed ML model is to collect data from four heterogeneous sources (water sensor, light sensor, humidity and temperature) in order to identify and forecast possible lavatory accidents. The experimental results of this work are encouraging as the model managed to achieve 100 percentage accuracy after 256 iterations. Future directions include the integration of the device with a neural network that will be trained on top of the pre-trained model in order to increase the overall precision even further.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"42 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75089506","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: 4

Social Media and Consumer Behaviour: Exploratory Factor Analysis 社交媒体与消费者行为:探索性因素分析

计算机工程与设计 Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932979

D. Amanatidis, I. Mylona, Michael F. Dossis

引用次数: 0

Environmental Awareness in Preschool Education via Educational Robotics and STEAM Education 教育机器人和STEAM教育在学前教育中的环境意识

计算机工程与设计 Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932911

Zoe Christidi, E. Christopoulou

引用次数: 0

A bi-directional shortest path calculation speed up technique for RDBMS RDBMS中双向最短路径计算加速技术

计算机工程与设计 Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932973

Kyriakos Koritsoglou, Petros Laskas, V. Patras, A. Boursianis, Konstantinos Grigoriadis, I. Fudos

{"title":"A bi-directional shortest path calculation speed up technique for RDBMS","authors":"Kyriakos Koritsoglou, Petros Laskas, V. Patras, A. Boursianis, Konstantinos Grigoriadis, I. Fudos","doi":"10.1109/SEEDA-CECNSM57760.2022.9932973","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932973","url":null,"abstract":"In Relational Database Management Systems (RDBMS) the representation and storage of graph datasets is achieved by using two data tables. One representing the nodes’ data and another for the edges’ data of the graph. Using this model every search process in a big data volume requires multiple joins of large data tables, which significantly reduces their performance. The increasing use of graph datasets in various computer science fields such as (big data, social and computer networks, networks, Semantic Web, knowledge graphs, biological networks, and road networks) creates the need to research methods that will improve the performance of RDBMS when managing this type of data. In this paper, unlike most of the solutions proposed in the literature to date, a purely relational approach is presented using only the native RDBMS query analyzer and not either aggregate functions not implemented in all RDBMSs or an additional plugin layer that analyzes and processes the graph queries in order to translate them into the corresponding SQL versions. With the proposed solution we proved that by designing a bi-directional BFS algorithm that passes through properly selected intermediate pivot points, it is possible to query graph datasets significantly larger than those a complex SQL query can handle, with no major overhead.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"492 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72419402","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

Magnetic harvester for autonomous steel health monitoring sensors 用于自主钢健康监测传感器的磁性收割机

计算机工程与设计 Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9933000

Polychronis Pattakos, Angelos Katsoulas, S. Angelopoulos, A. Ktena, E. Hristoforou

引用次数: 0

Efficiency of SuperCap storage in energy harvesting micropower supplies 能量收集微电源中SuperCap存储的效率

计算机工程与设计 Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932904

Ioannis Masklavanos, Christos Koutsos, G. Doumenis

引用次数: 0

Retradeables: the first online marketplace for used F-gases in Europe 可回收物:欧洲首个二手含氟气体在线交易市场

计算机工程与设计 Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932956

Nikolaos Barmparitsas, Alice Baronchelli, S. Karellas, P. Pallis, S. Thanopoulos

{"title":"Retradeables: the first online marketplace for used F-gases in Europe","authors":"Nikolaos Barmparitsas, Alice Baronchelli, S. Karellas, P. Pallis, S. Thanopoulos","doi":"10.1109/SEEDA-CECNSM57760.2022.9932956","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932956","url":null,"abstract":"Retradeables is intended to be the first European marketplace for used F-gases to support the circular economy of refrigerants extracted from HVAC-R equipment. In line with all relevant EU policies such as the F-gas Regulation, the Green Deal and the Waste Framework, Retradeables promotes the maximization of the quantities of recovered F-gases that are reused in the market by identifying the most suitable treatment method to be applied (recycling, reclamation or appropriate destruction) depending on their original quality grade (A/B/C). Currently, the Retradeables marketplace has been rolled-out in 3 EU countries: Slovakia (SK), Hungary (HU) and Czech Republic (CZ) with a view to scaling up across Europe in the next few years. Therefore, the aim of this paper is to present the key functionalities of the marketplace platform, including the user registration process under internal and Know-Your-Customer (KYC) verification schemes, the individual trading activities of sellers (supply side) & buyers (demand side) within the platform, the use of wallets and the available payment service based on the Single Euro Payments Area (SEPA) network. At the same time, the full transparency about acting parties, refrigerant volumes & types and running prices as well as full traceability of all refrigerants on sale are both highlighted as the two key design parameters on which Retradeables is structured. Finally, it should be noted that Retradeables is now considered as a beta platform since continuous upgrades are made according to the various requirements and customizations indicated by local users.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"33 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82032167","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

Sampling Points Selection Algorithm For Advanced Photolithography Process 高级光刻工艺的采样点选择算法

计算机工程与设计 Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932920

Aris Magklaras, Christos G Gogos, Panagiotis Alefragis, Christos Valouxis, A. Birbas

引用次数: 0

Global Graph Clustering and Local Graph Exploration for Community Detection in Twitter 面向Twitter社区检测的全局图聚类和局部图探索

计算机工程与设计 Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9933012

Christos N. Karras, Aristeidis Karras, I. Giannoukou, K. Giotopoulos, D. Tsolis, S. Sioutas

引用次数: 0

Participatory, location-based systems in community place-making. 参与式、基于位置的社区场所制定系统。

计算机工程与设计 Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9933009

Alexandra Tzanidou, Vasilis Vlachokyriakos

引用次数: 0