2018 24th International Conference on Automation and Computing (ICAC)最新文献_第2页

Program and Organizing Committees 项目及组织委员会

2018 24th International Conference on Automation and Computing (ICAC) Pub Date : 2018-09-01 DOI: 10.23919/iconac.2018.8749032

引用次数: 0

Cloud Neural Algorithm based Load Frequency Control in Interconnected Power System 基于云神经算法的互联电力系统负荷频率控制

2018 24th International Conference on Automation and Computing (ICAC) Pub Date : 2018-09-01 DOI: 10.23919/IConAC.2018.8749027

Zhijun Li, Xiao Li, B. Cui

{"title":"Cloud Neural Algorithm based Load Frequency Control in Interconnected Power System","authors":"Zhijun Li, Xiao Li, B. Cui","doi":"10.23919/IConAC.2018.8749027","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749027","url":null,"abstract":"In order to effectively increase the control quality of the load frequency controller, this paper proposes a Cloud-Neural Network PI controller based on cloud theory to solve the adverse effects of uncertainties in interconnected power system. Cloud theory solves uncertain problems by skillfully combining probability statistics with fuzzy theory, but relies heavily on artificial experience, while proposed cloud neural network algorithm can learn cloud control rules by itself. Therefore, cloud-neural network PI controller can solve the problem of fixing the membership functions of input variables and fuzzy rules by clouds algorithm, and implement the nonlinear mapping between variables by neural network. Compared with cloud theory, this new algorithm retains self-learning function of the neural network and does not depend on artificial experience. On the Matlab platform, comparison of Cloud-Neural Network PI controller, Cloud PI controller and traditional PI controller is made in complex nonlinear power system, and simulation results show that proposed Cloud-Neural Network PI controller has strong adaptive and self-learning capabilities, presenting better robust performance and dynamic-static characteristic.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127984417","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

Improvement of Driverless Cars' Passengers on Board Health and Safety, using Low-Cost Real-Time Heart Rate Monitoring System 利用低成本实时心率监测系统改善无人驾驶汽车乘客的健康和安全

2018 24th International Conference on Automation and Computing (ICAC) Pub Date : 2018-09-01 DOI: 10.23919/IConAC.2018.8748986

R. M. Fouad, A. Onsy, O. Omer

{"title":"Improvement of Driverless Cars' Passengers on Board Health and Safety, using Low-Cost Real-Time Heart Rate Monitoring System","authors":"R. M. Fouad, A. Onsy, O. Omer","doi":"10.23919/IConAC.2018.8748986","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8748986","url":null,"abstract":"In this work, a real-time unobtrusive heart rate monitoring system is proposed and implemented. The proposed system aims to monitor the heart rate of the passengers by using a low-cost camera, which can be readily embedded in the car's rear-view mirror. Additionally, we integrate this system with the main system of our test driverless car, and we propose how driverless cars should act in response to serious medical emergency situations. Moreover, we investigate how this system can benefit from the promising features of Google I/O and Google AI. Our approach is based on Remote Photoplethysmography (rPPG), in which the heart rate is extracted from the subtle tiny changes occurring in the skin color of the face during every pulsation. The face is automatically detected and tracked, then the raw signal is calculated from each frame over a 10-seconds sliding window. After that, a series of signal processing techniques are implemented on the raw signals to recover the heart rate frequency. Finally, the resultant heart rate measurements are processed and stored, then we compare it with ground truth measurements values obtained using pulse oximeter.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132457669","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

Spectrum Requirement for Efficient Wireless Communication over Vehicular Networks* 车辆网络有效无线通讯的频谱需求*

2018 24th International Conference on Automation and Computing (ICAC) Pub Date : 2018-09-01 DOI: 10.23919/IConAC.2018.8749080

E. Eze, J. Eze, Sijing Zhang, E. Liu

{"title":"Spectrum Requirement for Efficient Wireless Communication over Vehicular Networks*","authors":"E. Eze, J. Eze, Sijing Zhang, E. Liu","doi":"10.23919/IConAC.2018.8749080","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749080","url":null,"abstract":"This paper studied the required amount of radio spectral resource enough to support timely and reliable vehicular communication via vehicular ad-hoc networks (VANETs). The study focused on both DSRC/WAVE and the European standard ITS-G5 that are based on recently approved IEEE 802.11p specification, which uses a simplified version of CSMA/CA as MAC protocol, and an STDMA MAC recently proposed by European Telecommunications Standards Institute (ETSI). The paper further carried out a feasibility analysis of radio spectrum requirement for timely and reliable vehicle-to-vehicle (V2V) communication. In the feasibility analysis, synchronized STDMA MAC is compared with the CSMA/CA MAC protocol, which 802.11p is based on. Message Reception Failure (MRF) probability is used as a performance metric to investigate and ascertain the minimum spectrum requirement for efficient, timely, and reliable V2V communication. Simulation results show that even at the same allocation of 10MHz channel bandwidth, STDMA MAC outperforms the CSMA/CA based MACs due to the fact that STDMA based MACs provide a structured shared medium access and prevent negative impact of unhealthy contention for shared channel access. The results further show that up to 40MHz channel bandwidth over 5.9GHz band would be required to guarantee optimal reliability of safety packets exchange in vehicular networks as opposed to 10MHz allocated in US.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124351512","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

Compliant Impedance Control for a Redundant Manipulator During Human Robot Interaction 人-机器人交互过程中冗余机械手的柔性阻抗控制

2018 24th International Conference on Automation and Computing (ICAC) Pub Date : 2018-09-01 DOI: 10.23919/IConAC.2018.8749048

Yiming Jiang, Chenguang Yang, Zhaojie Ju, A. Annamalai, Honghai Liu

引用次数: 2

Sliding Mode Control for Wearable Exoskeleton based on Disturbance Observer 基于扰动观测器的可穿戴外骨骼滑模控制

2018 24th International Conference on Automation and Computing (ICAC) Pub Date : 2018-09-01 DOI: 10.23919/IConAC.2018.8749051

Peng Yang, Jianjun Sun, Jie Wang, Gaowei Zhang, Yan Zhang, Lingling Chen, Tuo Wang

引用次数: 1

A Bucket-Tree Based Algorithm for Automated Reasoning 基于桶树的自动推理算法

2018 24th International Conference on Automation and Computing (ICAC) Pub Date : 2018-09-01 DOI: 10.23919/IConAC.2018.8749047

Chunling Hu, Gang Lv, Xiaofeng Wang

引用次数: 0

Performance Analysis of Snort using Network Function Virtualization 使用网络功能虚拟化的Snort性能分析

2018 24th International Conference on Automation and Computing (ICAC) Pub Date : 2018-09-01 DOI: 10.23919/IConAC.2018.8749024

Maham Qayyum, Wajeeha Hamid, M. A. Shah

引用次数: 1

A Single Accelerometer-based Robust Human Activity Recognition via Wavelet Features and Ensemble Feature Selection 基于小波特征和集成特征选择的单加速度计鲁棒人体活动识别

2018 24th International Conference on Automation and Computing (ICAC) Pub Date : 2018-09-01 DOI: 10.23919/IConAC.2018.8749005

Yiming Tian, Xitai Wang, Peng Yang, Jie Wang, Jie Zhang

引用次数: 5

Estimating the 2D Static Map Based on Moving Stereo Camera 基于移动立体摄像机的二维静态地图估计

2018 24th International Conference on Automation and Computing (ICAC) Pub Date : 2018-09-01 DOI: 10.23919/IConAC.2018.8749004

Shadi M. Saleh, Sinan A. Khwandah, W. Hardt, Marcus Hilbrich, P. Lazaridis

{"title":"Estimating the 2D Static Map Based on Moving Stereo Camera","authors":"Shadi M. Saleh, Sinan A. Khwandah, W. Hardt, Marcus Hilbrich, P. Lazaridis","doi":"10.23919/IConAC.2018.8749004","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749004","url":null,"abstract":"Perception is an essential procedure for intelligent vehicles where the safety issue is the most critical one. Usually, the perceptual approach is constructed based on measurements received from multiple sensors such as (Radar, and LiDAR) in order to model the immediate driving environment for autonomous vehicles navigation. These sensors are often limited and uncertain in providing visual information in any weather condition and they are expensive. Furthermore, they require intensive calculations. Therefore, they can't be easily processed online. The aim of this study is to provide a solution based on the low-cost, light, and low-power stereo camera. The proposed solution focuses on the spatial information about the driving environment which is represented as a 3D point cloud. These post-processed points are projected on the 2D rectangle grid and divided into identical square cells. Each cell is holding information about the 3D points that lie over it and this created what is called a height map. In the same time, a confidence map is built to reduce and discard scattered points because the produced 3D point cloud is noisy. Finally, an occlusion map is constructed to estimate the status of each cell as a border, free or occluded.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127859703","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