2017 International Conference on Control, Automation and Information Sciences (ICCAIS)最新文献_第5页

Multiple speaker tracking with the GLMB filter 多扬声器跟踪与GLMB滤波器

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217590

D. Kim, B. Vo, S. Nordholm

引用次数: 1

Internet of things (IOT) for smart solar energy: A case study of the smart farm at Maejo University 智能太阳能的物联网(IOT):前城大学智能农场的案例研究

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217588

O. Chieochan, Anukit Saokaew, E. Boonchieng

{"title":"Internet of things (IOT) for smart solar energy: A case study of the smart farm at Maejo University","authors":"O. Chieochan, Anukit Saokaew, E. Boonchieng","doi":"10.1109/ICCAIS.2017.8217588","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217588","url":null,"abstract":"This research aims to prototype a small smart off-grid solar cell system. o provide an alternative electrical supply for a smart Lingzhi mushroom farm. This research applied the use of IOT with voltage and current sensors to measure and monitor the voltage of solar cell charging, amp (ampere) of current charging from the solar panel into a battery and (ampere) of current loading from a battery to the irrigation systems (fog and sprinkler pumps). Voltage and current data processed through Blynk was developed as an IOT cloud service. Data was stored into the Blynk and displayed on mobile devices in real time. The functional status (switching on and off for periods of time, current consumption) pushes notifications through Blynk IOT cloud service on the Blynk application. The equipment and tools used in this research were NodeMCU, voltage and current sensors, relay modules, DC sprinkler, and fog pumps. A small off-grid solar cell was applied. The solar cell system consists of a charger, battery, and solar panels. The IOT cloud used is Blynk. The results of the research shows that using IOT with voltage and current sensors enhances the prototype of a smart farming as an alternative and green electrical resource.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122932428","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: 32

Siphon-based deadlock prevention for a class of S4PR generalized Petri nets 一类S4PR广义Petri网的虹吸式死锁预防

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217583

Mowafak Hassan Abdul-Hussin, Z. Banaszak

引用次数: 8

The application of SRCQMMSPF in ballistic reentry target trajectory tracking SRCQMMSPF在弹道再入目标弹道跟踪中的应用

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217600

Feng Yang, Litao Zheng, Pengxiang Wang, Chenying Jing

{"title":"The application of SRCQMMSPF in ballistic reentry target trajectory tracking","authors":"Feng Yang, Litao Zheng, Pengxiang Wang, Chenying Jing","doi":"10.1109/ICCAIS.2017.8217600","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217600","url":null,"abstract":"Ballistic reentry target trajectory tracking is an important application of nonlinear filtering problems. Under non-Gaussian noise, Standard Particle Filter (SPF) and many revised PFs (i.e. MSRCQPF) can obtain good results. However, the two algorithms may meet some defects respectively, such as particle degradation, large computational complexity and so on. This paper propose a multimode sampling particle filter algorithm that based on square-root cubature quadrature Kalman filter (SRCQMMSPF). The proposed algorithm uses the estimated value of square root cubature quadrature Kalman filter as a basic proposal distribution for multimode sampling particle filter. Simulation results that when the measurement noise of ballistic reentry target trajectory tracking model is glint noise, compared with SPF algorithm and MSRCQPF algorithm, the SRCQMMSPF algorithm not only has a low computational complexity, but also has very good tracking accuracy. Especially in the case of ballistic target maneuver, the proposed algorithm can obtain higher estimation accuracy at lower computational cost. Besides, in the SRCQMMSPF algorithm, the high order approximation of Chebyshev polynomial can also improve the filtering accuracy.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"13 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123622000","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

Occlusion handling for online visual tracking using labeled random set filters 使用标记随机集过滤器的在线视觉跟踪遮挡处理

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217567

T. Rathnayake, A. Gostar, R. Hoseinnezhad, A. Bab-Hadiashar

引用次数: 5