2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)最新文献_第8页

Sigorta Müşteri Risk Gruplarinin Kümeleme Yöntemi Ile Analizi

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152908

Adil Seferzade, Ilknur Dönmez

引用次数: 0

Performance Analyzing the Effect of Network Size on Routing Protocols in MANETs manet中网络规模对路由协议影响的性能分析

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152838

A. Mustafa, Mohamed Muthanna Al-Heeti, Mustafa Maad Hamdi, Ahmed Muhi Shantaf

{"title":"Performance Analyzing the Effect of Network Size on Routing Protocols in MANETs","authors":"A. Mustafa, Mohamed Muthanna Al-Heeti, Mustafa Maad Hamdi, Ahmed Muhi Shantaf","doi":"10.1109/HORA49412.2020.9152838","DOIUrl":"https://doi.org/10.1109/HORA49412.2020.9152838","url":null,"abstract":"The Mobile Ad-hoc network (MANET) means an independently operating self-configured wireless network without existing infrastructure and centralized control. MANET may be found in wireless systems in different fields of daily uses, for example of automotive, military, and other specific field networks. Many networks need a fixed or wired data transmission and computer connectivity system relative to MANET. WiFi, satellite networking and the smartphone network are examples of fixed infrastructure wireless technology. This paper analyzes the effect of MANET on network size routing protocols. Ad hoc on-demand remote vector routing (AODV) and Greedy Stateless routing perimeter (GPSR) was measured on a efficiency basis in terms of network capacity. The result is a gradual decrease in GPSR output from 17.68 kbps to 12.61 kbps, with an average of 43.96 kbps. The packet transmission fraction for AODV and GPSR protocols is being developed for increasing network capacity. GPSR averages E2E delay less than AODV because the GPSR moves each node closer to the destination with a packet of local knowledge. As a matter of fact, the superiority of the GPSR protocol in all document tested on a network scale in simulation.","PeriodicalId":166917,"journal":{"name":"2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"53 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":"126291171","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: 19

An Adaptive Digital Fuzzy Control Scheme For Mechatronic Systems 机电系统的自适应数字模糊控制方案

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152930

Aurimas Zarnauskas, G. Dervinis, V. Baranauskas, A. Dervinienė, Leonas Balaševičius

引用次数: 0

Modern Virtual Reality Headsets 现代虚拟现实耳机

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152604

Vladislav Angelov, E. Petkov, Georgi Shipkovenski, Teodor Kalushkov

引用次数: 31

A Hybrid Optimization Approach to Design Optimally Tuned PID Controller for an AVR System AVR系统最优整定PID控制器的混合优化设计

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152898

Busra Ozgenc, M. S. Ayas, I. Altas

{"title":"A Hybrid Optimization Approach to Design Optimally Tuned PID Controller for an AVR System","authors":"Busra Ozgenc, M. S. Ayas, I. Altas","doi":"10.1109/HORA49412.2020.9152898","DOIUrl":"https://doi.org/10.1109/HORA49412.2020.9152898","url":null,"abstract":"The Automatic Voltage Regulator (AVR) system is one of the main controls used in power systems to keep the terminal voltage within the specified range at the generator output. It is aimed to improve the dynamic performance and minimize the steady state error by using different controllers in the AVR system. Optimization algorithms are widely used to optimally tune the parameters of the controller. In this study, Symbiotic organism search (SOS), Particle swarm optimization (PSO) and Whale optimization (WO) algorithms are used to tune the parameters of a PID controller designed for an AVR system. For each algorithm, transient response analysis of the AVR system is examined and performance comparison is made. In addition, PSO-SOS hybrid optimization approach is proposed to reduce the time required for optimization while achieving the same transient response characteristics. The proposed hybrid structure is also compared with the optimization algorithms used alone in terms of both required time and transient response performance. It is concluded that the SOS algorithm provides better results than WO and PSO algorithms. In addition, with the proposed hybrid algorithm the same transient response characteristics are achieved in a shorter time than the SOS algorithm.","PeriodicalId":166917,"journal":{"name":"2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"39 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":"127009228","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: 5

The Method Of Calibration Compensation For Fiber Nonlinearity- A Review 光纤非线性校正补偿方法综述

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152914

Alaa Hamid Mohammed, Raad. M. Khaleefah, M. K. Hussein, Ammar Hatem AlMarzoogee

引用次数: 23

Real-time Inferencing and Training of Artificial Neural Network for Adaptive Latency Negation in Distributed Virtual Environments 分布式虚拟环境中自适应延迟消除的人工神经网络实时推理与训练

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152833

G. Gutmann, A. Konagaya

{"title":"Real-time Inferencing and Training of Artificial Neural Network for Adaptive Latency Negation in Distributed Virtual Environments","authors":"G. Gutmann, A. Konagaya","doi":"10.1109/HORA49412.2020.9152833","DOIUrl":"https://doi.org/10.1109/HORA49412.2020.9152833","url":null,"abstract":"With recent trends to move more computation and applications to the cloud, latency is one of the major factors that can degrade the experience. This is even more true when it comes to distributed virtual environments (DVE) where users are interacting in real-time with a server-side environment. Past works have attempted to use user motion prediction to negate the effects of latency in VR systems but often struggle with long prediction lengths or fast user motion speed. In our previous work, we found that using an artificial neural network (ANN) for user motion prediction was feasible; however, our test showed relatively simple ANNs struggled when the latency varied, or user behavior changed drastically. To combat these issues, we are proposing the use of real-time inferencing and training (RTIT) to give our stacked LSTM the capability to adapt. By utilizing RTIT, our model is able to maintain a low prediction error when the system experiences both various amounts of latency and different interaction patterns. In addition, as the latency and user motion speed rise, our method remains robust longer than polynomial regression-based predictors.","PeriodicalId":166917,"journal":{"name":"2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"23 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":"122129366","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

Gerçek Zamanlı Lidar - Kamera Tümleştirme Mimarisi ve Araç Üzeri Uygulaması

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152904

A. Demir

引用次数: 0

Human-Robot Collaboration in Construction: Opportunities and Challenges 建筑中的人机协作:机遇与挑战

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152888

Cynthia Brosque, Elena Galbally, O. Khatib, M. Fischer

引用次数: 22

Adaptive Motion Control of Modified E. Coli 改性大肠杆菌的自适应运动控制

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2020-06-01 DOI: 10.1109/HORA49412.2020.9152603

A. Tabak

引用次数: 1