2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)最新文献_第3页

Providing Facilities in Health Care via Brain-Computer Interface and Internet of Things 通过脑机接口和物联网提供医疗保健设施

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) Pub Date : 2020-09-28 DOI: 10.23919/MIPRO48935.2020.9245382

Mehar Ullah, Amin Hekmatmanesh, D. Savchenko, R. Moioli, P. Nardelli, H. Handroos, Huapeng Wu

{"title":"Providing Facilities in Health Care via Brain-Computer Interface and Internet of Things","authors":"Mehar Ullah, Amin Hekmatmanesh, D. Savchenko, R. Moioli, P. Nardelli, H. Handroos, Huapeng Wu","doi":"10.23919/MIPRO48935.2020.9245382","DOIUrl":"https://doi.org/10.23919/MIPRO48935.2020.9245382","url":null,"abstract":"Internet of Things (IoT) technologies are steadily growing. Millions of devices are now connected to each other and the internet; they communicate and share data. Another technology that has been taking traction is Brain-Computer Interface (BCI), which get brain signals and convert them into commands that are employed for control of different applications. There is then a clear link between IoT and BCI: the IoT device can receive the commands generated by the BCI and perform the desired action. This combination is useful in health care for supporting disabled patients and old people to have more autonomy. This research aims to assess the combination of the BCI and IoT, specially focusing on health care to facilitate everyday life activities by developing simple home appliances such as door opening and turning on the lights. In the present study, three voluntary candidates participated the experiment of controlling a light based on BCI and IoT systems. The average accuracy results obtained 87.33% and 73.33% with ANOVA P < 0. 05 for offline and real-time processing modes. Our results indicates that the speed of IoT is fast enough for a BCI real-time system for the case under study.","PeriodicalId":437575,"journal":{"name":"2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123471872","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: 3

Sequential Register Renaming 顺序寄存器重命名

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) Pub Date : 2020-09-28 DOI: 10.23919/mipro48935.2020.9245364

Dejan Spasov

引用次数: 0

Towards an Agile Framework for Business Intelligence Projects 面向商业智能项目的敏捷框架

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) Pub Date : 2020-09-28 DOI: 10.23919/MIPRO48935.2020.9245166

M. Prouza, S. Brodinová, A. Tjoa

引用次数: 1

Integration of photogrammetry within laser scanning approach 激光扫描方法中摄影测量的集成

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) Pub Date : 2020-09-28 DOI: 10.23919/mipro48935.2020.9245297

P. Kudela, M. Palčák, Katarína Zábovská, B. Bučko

引用次数: 3

Accessibility Standards and Their Implementation in Custom Data-Driven Maps 可访问性标准及其在自定义数据驱动地图中的实现

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) Pub Date : 2020-09-28 DOI: 10.23919/MIPRO48935.2020.9245417

Irena Serna-Marjanović, A. Tanovic, Ajla Cerimagic

引用次数: 1

Decision tree algorithm for control of compressor multiset in refrigeration industry 制冷工业压缩机多机组控制的决策树算法

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) Pub Date : 2020-09-28 DOI: 10.23919/mipro48935.2020.9245372

Ivan Sulekic, Damir Milinković, Tomislav Spoljaric

引用次数: 0

Database Integration Systems 数据库集成系统

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) Pub Date : 2020-09-28 DOI: 10.23919/MIPRO48935.2020.9245245

Juraj Doncevic, K. Fertalj

引用次数: 3

Assisting Motorists Using Parking Prediction through a Car App 通过汽车应用程序帮助驾驶者使用停车预测

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) Pub Date : 2020-09-28 DOI: 10.23919/MIPRO48935.2020.9245383

Conrad Attard, A. Naudi, S. Mallia, D. Gauci, R. Farrugia

{"title":"Assisting Motorists Using Parking Prediction through a Car App","authors":"Conrad Attard, A. Naudi, S. Mallia, D. Gauci, R. Farrugia","doi":"10.23919/MIPRO48935.2020.9245383","DOIUrl":"https://doi.org/10.23919/MIPRO48935.2020.9245383","url":null,"abstract":"More persons depend on private cars, particularly when alternative transport such as public transport is not as efficient as required. The majority of motorists get caught in queues moving slowly through large cities. Parking becomes more of a challenge in areas where existing car parks provide limited parking spaces. The model for the study was created following an observational study. This required a drone taking top down images for building a dataset, which in turn was used to flag available parking slots consulting historic patterns. The dataset is currently available for research purposes. The vehicle-detection tool developed for this study was used to evaluate the manual logs of the dataset and obtained generally satisfactory results, albeit presenting some limitations. Different regression algorithms were tested on the dataset and the best one overall was selected for making predictions. After considering various techniques, a car app using web technologies and a Node.js framework was built. Through this solution, predictions made using the dataset have been stored in a MongoDB database, and passed on to a motorist through the app. A total of 18 motorists took part in a controlled experiment designed to enable the functional and usability testing of the app.","PeriodicalId":437575,"journal":{"name":"2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131572809","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: 1

Lung cancer typology classification based on biochemical markers using machine learning techniques 基于机器学习技术的生化标记肺癌类型分类

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) Pub Date : 2020-09-28 DOI: 10.23919/MIPRO48935.2020.9245114

Jasna Nuhić, Jasmin Kevric

{"title":"Lung cancer typology classification based on biochemical markers using machine learning techniques","authors":"Jasna Nuhić, Jasmin Kevric","doi":"10.23919/MIPRO48935.2020.9245114","DOIUrl":"https://doi.org/10.23919/MIPRO48935.2020.9245114","url":null,"abstract":"Clinical mistreatment and mismanagement are big issues caused by detection of too many false negative patients. Therefore, lung cancer diagnostic inaccuracy and methods to surpass it in a minimally invasive way is often the subject of research, as it is case of this study. This study focuses on the use of machine learning algorithms as a noninvasive tool to differentiate malignant pleural effusions from benign effusions. It provides performance comparisons between Adaptive neuro-fuzzy inference system (ANFIS), Support vector machine (SVM), RUS Boosted Tree (RUSBoost) and K-Nearest-Neighbor (K-NN) techniques for lung cancer detection. The proposed algorithms were chosen based on the current state of the art in the field of pulmonary diagnostics. The novelty of this work is the application of machine learning models for classification of lung cancer based on expression of tumor markers obtained from serum and pleural fluids. The performance of all models is compared and validated on data samples of 168 patients. Three classification model, SVM, RUSBoost and K-NN performed equally well, whereas underperforming model was ANFIS.","PeriodicalId":437575,"journal":{"name":"2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130798801","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

Analysis of secure data deletion and recovery with common digital forensic tools and procedures 使用常见的数字取证工具和程序分析安全数据删除和恢复

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) Pub Date : 2020-09-28 DOI: 10.23919/MIPRO48935.2020.9245197

Slaven Žulj, Damir Delija, Goran Sirovatka

引用次数: 0