2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)最新文献_第10页

Evaluation DSDV, AODV and OLSR routing protocols in real live by using SUMO with NS3 simulation in VANET 在VANET中使用SUMO和NS3仿真对DSDV、AODV和OLSR路由协议进行了实时评估

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152903

A. Shaban, S. Kurnaz, Ahmed Muhi Shantaf

引用次数: 9

Comparison of PI and Super-twisting Controller Optimized with SCA and PSO for Speed Control of BLDC Motor PI与基于SCA和粒子群优化的超捻控制器在无刷直流电机速度控制中的比较

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152853

Özge Gülbaş, Yakup Hameş, Murat Furat

引用次数: 4

Lightweight fog based solution for privacy-preserving in IoT using blockchain 使用区块链的物联网中基于雾的轻量级隐私保护解决方案

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152923

Ali Haleem Alkhazaali, Oğuz Ata

{"title":"Lightweight fog based solution for privacy-preserving in IoT using blockchain","authors":"Ali Haleem Alkhazaali, Oğuz Ata","doi":"10.1109/HORA49412.2020.9152923","DOIUrl":"https://doi.org/10.1109/HORA49412.2020.9152923","url":null,"abstract":"Internet of things (IoT) mainly depends on clouds to process and store their data. Clouds cannot handle the volume and velocity of data generated by IoT. IoT is delay-sensitive and resources limited. Fog computing proposed endorsing the internet of things (IoT) demands. Fog computing extends the cloud computing service to the edge of the network. Fog utilization reduces response time and network overhead while maintaining security aspects. isolation and operating system (OS) dependency achieved by using virtualization. Blockchain proposed to solve the security and privacy of fog computing. Blockchain is a decentralized, immutable ledger. fog computing with blockchain proposed as an IoT infrastructure. Fog computing adopted with lightweight blockchain in this proposed work. This adaptation endorses the IoT demands for low response time with limited resources. This paper explores system applicability. Varies from other papers that focus on one factor such as privacy or security—applicability of the proposed model achieved by concentration different IoT needs and limits. Response time and ram usage with 1000 transactions did not encroach 100s and 300MiB in the proposed model.","PeriodicalId":166917,"journal":{"name":"2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121869942","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: 10

Automated Abnormality Classification of Chest Radiographs using MobileNetV2 基于MobileNetV2的胸片异常自动分类

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152607

Secil Genc, Kubra Nur Akpinar, S. Karagol

引用次数: 5

Effects of Glow Data Augmentation on Face Recognition System based on Deep Learning 发光数据增强对深度学习人脸识别系统的影响

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152900

Jawad Rasheed, Erdal Alimovski, Ahmad Rasheed, Yahya Sirin, Akhtar Jamil, Mirsat Yesiltepe

引用次数: 1

Kapasitör Dizgisine Yönelik Görü Tabanlı Bir Algoritma

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152889

Barış Öz, Buse Sevm, Gözde Akpak, Sema Işık, Serhat Karakullukçu, Sinan Özen

{"title":"Kapasitör Dizgisine Yönelik Görü Tabanlı Bir Algoritma","authors":"Barış Öz, Buse Sevm, Gözde Akpak, Sema Işık, Serhat Karakullukçu, Sinan Özen","doi":"10.1109/HORA49412.2020.9152889","DOIUrl":"https://doi.org/10.1109/HORA49412.2020.9152889","url":null,"abstract":"In this study, an image processing algorithm was developed to assembly capacitor onto the circuit board. Electronic components which are assembled on the surface are used on the printing circuit board. However, due to need for high capacitance value, through-hole mounted capacitors require to be used. Pressing is performed on the legs to increase the solder surface area of the capacitor. Offsets caused by pressing or production of the capacitor block the assembly process. There-fore, this process is achieved manually. In order to increase the production quality and production rate, it is suggested that the capacitor should be placed on the printed circuit board using a vision algorithm based on the difference between the capacitor legs with the center point of the gripper. Edge detection algorithm was developed to obtain offset value to send information to the robot. In this way, the set point has been defined on the robot workspace. As a result of the study, it is shown that capacitors can be placed on the printed circuit board with the desired sensitivity by measuring the offset values of them. As a result of the error analysis, it is observed that offset values were not within the tolerance range if the developed algorithm usage is not considered.","PeriodicalId":166917,"journal":{"name":"2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125517239","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

Gaussian Applications in Organic Structured Electronic Systems 高斯在有机结构电子系统中的应用

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152921

Ebru Idman, Emrah Idman, Osman Yildirim

引用次数: 0

Real-Time Object Detection with Simultaneous Denoising using Low-Rank and Total Variation Models 基于低秩和全变分模型的实时目标检测

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152863

Nuha H. Abdulghafoor, Hadeel N. Abdullah

{"title":"Real-Time Object Detection with Simultaneous Denoising using Low-Rank and Total Variation Models","authors":"Nuha H. Abdulghafoor, Hadeel N. Abdullah","doi":"10.1109/HORA49412.2020.9152863","DOIUrl":"https://doi.org/10.1109/HORA49412.2020.9152863","url":null,"abstract":"The detection of objects in video scenes is the most prominent research topic in computer vision. It is the result of a wide variety of applications, such as virtual reality and intelligent surveillance systems, so that the system is based mainly on the detection of objects or moving objects. Due to the great success of the Foreground/Background Separation algorithms by decomposing the low-order matrix recently, we propose a new real-time incremental algorithm based on Low Rank and Total Variation (TV) model while simultaneously eliminating various noise. In this research, the proposed algorithms applied to solve multiple problems, such as Dynamic Background, Variation Background, with time. Also, we used real or online videos that will allow the adaptive modeling method to automatically remove noise and detect foreground (or intruder) on such scenes. The background modeling challenges in videos do not involve environmental differences such as lighting or weather changes. To check the effectiveness and efficiency of the proposed algorithms, we have experimented with real-time videos. Analytical experiments and results show the ability and efficiency of our method as well as the low computational cost of our proposed algorithms.","PeriodicalId":166917,"journal":{"name":"2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129351928","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

Web Service-Based Turkish Automatic Speech Recognition Platform 基于Web服务的土耳其语自动语音识别平台

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152920

Saadin Oyucu, Hüseyin Polat, H. Sever

{"title":"Web Service-Based Turkish Automatic Speech Recognition Platform","authors":"Saadin Oyucu, Hüseyin Polat, H. Sever","doi":"10.1109/HORA49412.2020.9152920","DOIUrl":"https://doi.org/10.1109/HORA49412.2020.9152920","url":null,"abstract":"In response to the similar challenges in building large-scale distributed applications and platforms on the Web, microservice architecture has emerged and gained a lot of popularity in recent years. Therefore, both for the use of microservices and for the provided of the necessary interface for Automatic Speech Recognition (ASR), a web-based platform has been developed. Within firstly the scope of the study, a Turkish ASR system was developed. A web service structure was created to facilitate access to the ASR system. The access of methods and data in the web service structure was provided through Representational State Transfer (REST) web services and service layer. An interface was developed to enable interaction with the web service. The platform was developed using a combination of different technologies such as ASR, web services, microservices, and interface technologies. The developed platform can be used via a standard web browser or an Application Programming Interface (API). In this study, Docker packages were used to improve system performance instead of using different virtual machines on a single server. In the experiments performed, it was shown that the Turkish ASR system had a word error rate of 24.70%. In web service performance tests, it was shown that the platform responded in an average of 9.6 seconds for a 59-second speech recording. The developed user interface was tested in both mobile and desktop web browsers and was shown to function properly. Applications and other services were given access to the platform without the need to use an interface via API support provided by the platform. As a result, a web service-based Turkish ASR platform working seamlessly on the ever-increasing number of mobile devices, the Internet of Things ecosystem, or other access devices was developed.","PeriodicalId":166917,"journal":{"name":"2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"03 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127335457","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: 2

Classification of EMG Finger Data Acquired with Myo Armband Myo臂带获取的手指肌电图数据的分类

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152850

C. Tepe, M. Erdim

{"title":"Classification of EMG Finger Data Acquired with Myo Armband","authors":"C. Tepe, M. Erdim","doi":"10.1109/HORA49412.2020.9152850","DOIUrl":"https://doi.org/10.1109/HORA49412.2020.9152850","url":null,"abstract":"Muscles are one of the basic building blocks of our body, which allows us to perform various movements. As a result of the contraction and relaxation of the muscles, myoelectric signals are formed and movement is provided. EMG signal is obtained by measuring these signals with electrodes. By processing EMG signals, human movements can be imitated and used in many different areas.The human hand can perform many combinations of hand gestures thanks to the different mobility of the fingers. For this reason, it can be easier for the prosthetic hands to perform different hand gestures by moving the fingers independently. In this context, the aim of the research is to propose a model by processing EMG signals so that finger gestures can move independently. EMG signals were acquired using myo armbands. Data set was created with 5 finger gestures and resting hand gestures. The data set was filtered, the part where the gesture was performed in the preprocessing was determined and the windowing process was applied. The classification process was performed by eliminating the features of the EMG signals. In the 100 ms 50% overlapping window, 95.8% classification success was achieved by using the SKNN method with the EWL feature. When the experimental results were examined, it was observed that a successful model was created.In this study, a model for prosthetic arm control was proposed by processing finger data. This model is feasible for prosthetic arms and it is estimated that the functionality of the prosthetic arm will be increased by processing finger data.","PeriodicalId":166917,"journal":{"name":"2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127456931","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: 6