2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)最新文献_第3页

Soil infiltration rate as a parameter for soil moisture and temperature based Irrigation System 土壤入渗速率作为土壤水分和温度参数的基础灌溉系统

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893586

A. Yumang, A. Paglinawan, L. A. Perez, John Francis F. Fidelino, Joseph Benedict C. Santos

{"title":"Soil infiltration rate as a parameter for soil moisture and temperature based Irrigation System","authors":"A. Yumang, A. Paglinawan, L. A. Perez, John Francis F. Fidelino, Joseph Benedict C. Santos","doi":"10.1109/ICCSCE.2016.7893586","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893586","url":null,"abstract":"Irrigation systems are frequently used in farm to provide efficient and effective cultivation of plants and vegetables. Low to high end irrigation systems requires electricity to increase its efficiency. Irrigation systems usually obtain their source of water deep underground or to rivers nearby. Providing such resource with the use of pumps without controlling the duration of irrigation require high electricity, thus having high power consumption. An Irrigation System Automated by using sensors and automated valve is designed so that there is a control in irrigation, which also reduce the system's power consumption. The use of sensors for the moisture and temperature of the soil is used to determine when to trigger the irrigation. Another parameter, which is the soil infiltration rate, is determined to control the flow rate of the irrigator depending on the current infiltration rate of the soil. An improvised automated infiltrometer is created, tested, and used for the actual irrigation. Results showed reduced overall power consumption.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"53 1","pages":"286-291"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81259223","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: 8

Human breathing assessment using Electromyography signal of respiratory muscles 利用呼吸肌肌电图信号评估人体呼吸

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893596

A. N. Norali, A. Abdullah, Z. Zakaria, N. A. Rahim, S. K. Nataraj

引用次数: 3

Train driving strategy optimization using control parameterization enhancing technique 基于控制参数化增强技术的列车驾驶策略优化

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893581

Weifeng Zhong, Hongze Xu, Wenjing Zhang, Longsheng Wang

{"title":"Train driving strategy optimization using control parameterization enhancing technique","authors":"Weifeng Zhong, Hongze Xu, Wenjing Zhang, Longsheng Wang","doi":"10.1109/ICCSCE.2016.7893581","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893581","url":null,"abstract":"Train energy consumption accounts for the largest proportion of total energy consumption in railway systems. Applying the optimal driving strategy is an important way to reduce train energy consumption. In this paper, an efficient numerical approach - control parameterization enhancing technique (CPET) is employed to determine the optimal train driving strategy, which is essentially a problem of optimal control. Using CPET, the train control forces are indicated by piecewise constant function with variable switching nodes. Then, CPET transforms the original problem of optimal train control into a nonlinear optimization problem by considering both the piecewise constant control values on each subinterval and the lengths of the subintervals as decision parameters. Finally, the transformed optimization problem is solved efficiently by using an exact penalty method to handle the train speed constraint and applying a sensitivity approach to obtain the gradient of the cost function. A case study is carried out to demonstrate that the optimal driving strategy obtained by the CPET is more energy-efficient than that obtained by the traditional control parameterization method under same conditions.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"46 1","pages":"256-261"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87107116","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

Smart urban parking detection system 智慧城市停车检测系统

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893601

Nastaran Reza Nazar Zadeh, Jennifer C. Dela Cruz

{"title":"Smart urban parking detection system","authors":"Nastaran Reza Nazar Zadeh, Jennifer C. Dela Cruz","doi":"10.1109/ICCSCE.2016.7893601","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893601","url":null,"abstract":"Nowadays in an urban area, looking for available parking spots, is not only a waste of time and energy but also it causes more traffic and air pollution. Therefore finding available parking spots is becoming more challenging on daily life. This paper proposes a novel solution by providing motorists with real-time information about the availability of spots in parking spaces through a smartphone application. Ultrasonic sensors and raspberry pi were used at the gates of parking zones to detect cars and calculate the number of available parking spots. Client web server was used to accommodate multiple users in an android platform. Drivers can see available parking spots in real time on a map, they also can get navigate to nearest available parking spots using the mobile application. The parking system is designed for different types of parking zone (such as open space car parking and multilevel car parking); the cost of deploying the system is inexpensive due to the low demand for Raspberry pi single board computer as a local server and ultrasonic sensors for each entrance and exit gates compared to those that require a sensor for each parking spot.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"14 1","pages":"370-373"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82341163","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

Image compression enhancement for WSN application using AHAAR wavelet transform and classification 基于AHAAR小波变换和分类的无线传感器网络图像压缩增强

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893583

Ahmad Jamal Ahmed, J. Abdullah, Abdullah Amer Mohammed Salih

{"title":"Image compression enhancement for WSN application using AHAAR wavelet transform and classification","authors":"Ahmad Jamal Ahmed, J. Abdullah, Abdullah Amer Mohammed Salih","doi":"10.1109/ICCSCE.2016.7893583","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893583","url":null,"abstract":"prolonging the lifetime of wireless sensor networks (WSNs) is an essential requirement due to limited energy storage capability of sensor node. Battery lifetime can be extended by reducing the amount of data transmitted. Thus, this paper proposed a new image compression of grayscale technique called Adaptive Haar wavelet transform theory to by providing a lossy compression. This method was introduced to overcome the drawback of the original theory by improving the compression capability. It takes into consideration the visual effect on the output image by preserving the image details. The exposure fuzzy logic classifier is utilized in this paper to improve the process of classifying the output of the compressed image into over, under or well-exposed images. Multi scale Retinex (MSR) technique was introduced to enhance the compressed classified images from over or under-expose image contrast. This work aims to increase the long lifetime of sensor by reducing the energy consumption to transfer images in WSN. A universal gray scale image database images had been applied to test the compression ratio. The output is evaluated by comparing the image size before and after compression in KB, the energy of the images before and after and also the energy consumption after the image being compressed. 81.19% energy consumption improvement in the output result of the proposed method.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"39 1","pages":"268-272"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78367769","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

Time-frequency analysis of wheezing sound to differentiate asthmatic and non-asthmatic condition 喘息声时频分析鉴别哮喘与非哮喘

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893570

T. A. I. T. Alang, Om Prakash Singh, M. Malarvili

{"title":"Time-frequency analysis of wheezing sound to differentiate asthmatic and non-asthmatic condition","authors":"T. A. I. T. Alang, Om Prakash Singh, M. Malarvili","doi":"10.1109/ICCSCE.2016.7893570","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893570","url":null,"abstract":"In this paper, a new method to analyze wheezing sound to differentiate asthmatic and non-asthmatic condition is proposed. To achieve this, data acquisition was done on asthmatic and non-asthmatic patients. The data was then filtered by using the high pass-Butterworth filter to obtain a smooth signal. Segmentation of expiration phase emphasized wheezing signal characteristic of the total of 60 epochs. The next step was the selection of time-frequency distribution (TFD) which enabled the feature extraction of frequency, maximum energy, and average energy. Based on comparison done, Modified-B distribution exhibited the best time-frequency resolution for this application. Extracted wheezing features from the time-frequency distribution of asthmatic and non-asthmatic conditions were subsequently analyzed using statistical analysis of t-test. The result indicates that the frequency can be used to differentiate asthmatic and non-asthmatic condition. In conclusion, the Modified-B distribution can distinguish asthmatic and non-asthmatic condition, based on frequency extraction.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"57 1","pages":"193-198"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78491230","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

Water Penetrating Sensor for Feature Extraction of Benthic Habitat using Remotely Sensed Information in Shallow Water 利用遥感信息提取浅水底栖生物栖息地特征的穿透式传感器

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893621

A. Ballado, J. Lazaro, Eric Joshua A. Aquino, Alliezza Jayne B. Balaga, Anjon S. Hernandez, M. V. Caya

引用次数: 2

Effective route planning of a mobile robot for static and dynamic obstacles with Fuzzy Logic 基于模糊逻辑的移动机器人静态和动态障碍物有效路径规划

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893541

Amir Nasrinahar, Joon Huang Chuah

{"title":"Effective route planning of a mobile robot for static and dynamic obstacles with Fuzzy Logic","authors":"Amir Nasrinahar, Joon Huang Chuah","doi":"10.1109/ICCSCE.2016.7893541","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893541","url":null,"abstract":"Navigation of a mobile robot in cluttered environment while ensuring obstacle avoidance and maximum safety is indeed a challenging task. Route planning is an important issue in the field of autonomous mobile robots which makes them capable to travel from one position to another in various environments including both static and dynamic obstacles without any human intervention. This research is carried out with the purpose of designing and programming a mobile robot using two separated fuzzy logic controllers and developing an efficient algorithm in order to avoid both static and dynamic obstacles. In this work, four essential behavior controllers are designed and implemented onto the robot to assist its navigation towards the goal, i.e. goal reaching behavior, speed control behavior, goal searching behavior and obstacle avoidance behavior. For obstacle avoidance behavior, Sugeno fuzzy logic was applied. The simulation of this research was done by using MATLAB software where a mobile robot and some test environments with different complexity were created. Several navigation experiments were conducted and the robot's behavior were carefully observed. Analysis of the robot's performance validated the effectiveness of the proposed controllers and the robot could successfully navigate towards the goal in all experimental environments.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"471 1","pages":"34-38"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76624412","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: 7

Determining the inhibitor content of transformer insulating oil using UV-Vis spectroscopy 紫外可见光谱法测定变压器绝缘油中抑制剂的含量

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893567

Leong Yang Sing, P. Ker, F. Abdullah

{"title":"Determining the inhibitor content of transformer insulating oil using UV-Vis spectroscopy","authors":"Leong Yang Sing, P. Ker, F. Abdullah","doi":"10.1109/ICCSCE.2016.7893567","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893567","url":null,"abstract":"Monitoring and inspection of inhibitor content in transformer insulating oil has been a routine test for power utilities. Although new uninhibited transformer insulating oil contains naturally occurring inhibitors, these inhibitors could deplete over time during operation. Once the inhibitor depleted completely, the oil would start to deteriorate at a faster rate and eventually could lead to faults in transformer. The common method of determining the weight percentage of inhibitor in transformer oil is through Fourier Transform Infrared (FTIR) spectroscopy. However, this method is laboratory-based, which means oil sampling at site is necessary and the oil samples need to be transported to the laboratory. The necessity for oil sampling, coupled with the high cost of FTIR equipment have led to high maintenance cost. Therefore, this work investigated the possibility of using single wavelength or waveband optical detection for the determination of weight percentage of inhibitor in transformer oil using ultraviolet-visible-near infrared (UV-VIS-NIR) spectroscopy. Result of the work shows that the samples with inhibitor produced an absorbance peak at 1403nm. The peak absorbance of the spectral response is proportional to the weight percentage of inhibitor content that was measured using the conventional method, which is IEC 60666. An equation was derived to model the peak absorbance and weight percent of inhibitor content (%IC) of the oil and it was verified with additional oil sample with a known weight percent of Inhibitor content.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"45 1","pages":"179-183"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80001351","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: 13

Speech-controlled vehicle for manufacturing operation 用于制造操作的语音控制车辆

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893625

A. H. M. Saod, N. A. Harron, F. Ahmad, N. H. Ishak, S. A. Ramlan, Anith Nuraini Abdul Rashid, Mohammad Khairul Nazrin Azmi

引用次数: 4