Pub Date : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893586
A. Yumang, A. Paglinawan, L. A. Perez, John Francis F. Fidelino, Joseph Benedict C. Santos
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.
{"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}
Pub Date : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893596
A. N. Norali, A. Abdullah, Z. Zakaria, N. A. Rahim, S. K. Nataraj
Breathing is one of the human physiological activities that catch the interest of researchers especially in the area of medical diagnosis and human physiological performance. Mostly, the measurement and data are in form of pressure and volume variables of air intake and outflow. However, using airflow pressure and volume require installment of certain sensor usually on subject's mouth which could discomfort the subject. Another possible method for assessing the breathing pattern is through human respiratory muscles, which are via electromyography signal. In this paper, experiment is done on acquiring the electromyography signal from four respiratory muscles namely sternocleidomastoid, scalene, intercostal muscle and diaphragm with subjects performing four different breathing tasks. Analysis-of-variance test has been done on the Electromyography (EMG) feature data of the four muscles for the four breathing tasks. Results of ANOVA analysis, show that the p-values has a significant different in the four breathing tasks for each muscle.
{"title":"Human breathing assessment using Electromyography signal of respiratory muscles","authors":"A. N. Norali, A. Abdullah, Z. Zakaria, N. A. Rahim, S. K. Nataraj","doi":"10.1109/ICCSCE.2016.7893596","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893596","url":null,"abstract":"Breathing is one of the human physiological activities that catch the interest of researchers especially in the area of medical diagnosis and human physiological performance. Mostly, the measurement and data are in form of pressure and volume variables of air intake and outflow. However, using airflow pressure and volume require installment of certain sensor usually on subject's mouth which could discomfort the subject. Another possible method for assessing the breathing pattern is through human respiratory muscles, which are via electromyography signal. In this paper, experiment is done on acquiring the electromyography signal from four respiratory muscles namely sternocleidomastoid, scalene, intercostal muscle and diaphragm with subjects performing four different breathing tasks. Analysis-of-variance test has been done on the Electromyography (EMG) feature data of the four muscles for the four breathing tasks. Results of ANOVA analysis, show that the p-values has a significant different in the four breathing tasks for each muscle.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"68 1","pages":"343-347"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87233035","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}
Pub Date : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893581
Weifeng Zhong, Hongze Xu, Wenjing Zhang, Longsheng Wang
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.
{"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}
Pub Date : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893601
Nastaran Reza Nazar Zadeh, Jennifer C. Dela Cruz
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.
{"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}
Pub Date : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893583
Ahmad Jamal Ahmed, J. Abdullah, Abdullah Amer Mohammed Salih
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.
{"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}
Pub Date : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893570
T. A. I. T. Alang, Om Prakash Singh, M. Malarvili
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.
{"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}
Pub Date : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893621
A. Ballado, J. Lazaro, Eric Joshua A. Aquino, Alliezza Jayne B. Balaga, Anjon S. Hernandez, M. V. Caya
In this paper, data analysis was performed on the spatial features of the benthic habitat using the Lowrance Elite CHIRP 7 SoNAR system embedded with an 80 and 455 KHz transducer in shallow water. Basically, the system addresses the need for information from the benthic habitat in order by means of cheaper solution. The system used was relatively cheaper and way smaller in scale without leaving behind the functionality of the large scale systems. Data was gathered from benthic habitat through the transceiver and analyzed using image processing techniques loaded in Raspberry Pi for spatial features extraction. It was found that the distribution of fishes and vegetation underwater has a direct correlation to the shape of the terrain. Three different terrains were analyzed, minimum deviation slope terrain, parabolic slope terrain and varying slope terrain, wherein the last mentioned terrain produced the highest distribution for both fishes and vegetation.
{"title":"Water Penetrating Sensor for Feature Extraction of Benthic Habitat using Remotely Sensed Information in Shallow Water","authors":"A. Ballado, J. Lazaro, Eric Joshua A. Aquino, Alliezza Jayne B. Balaga, Anjon S. Hernandez, M. V. Caya","doi":"10.1109/ICCSCE.2016.7893621","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893621","url":null,"abstract":"In this paper, data analysis was performed on the spatial features of the benthic habitat using the Lowrance Elite CHIRP 7 SoNAR system embedded with an 80 and 455 KHz transducer in shallow water. Basically, the system addresses the need for information from the benthic habitat in order by means of cheaper solution. The system used was relatively cheaper and way smaller in scale without leaving behind the functionality of the large scale systems. Data was gathered from benthic habitat through the transceiver and analyzed using image processing techniques loaded in Raspberry Pi for spatial features extraction. It was found that the distribution of fishes and vegetation underwater has a direct correlation to the shape of the terrain. Three different terrains were analyzed, minimum deviation slope terrain, parabolic slope terrain and varying slope terrain, wherein the last mentioned terrain produced the highest distribution for both fishes and vegetation.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"18 1","pages":"472-475"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78524191","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}
Pub Date : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893541
Amir Nasrinahar, Joon Huang Chuah
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.
{"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}
Pub Date : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893567
Leong Yang Sing, P. Ker, F. Abdullah
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.
{"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}
Pub Date : 2016-01-01DOI: 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
This paper proposes a speech-control vehicle that can be operated in manufacturing line. The aim of the study is to recognize user's voice using speech recognition method for remotely controlling the movement of operating vehicle based on user's command. This project can be divided into two parts; development of android application and hardware implementation. Android application is developed to integrate the speech recognition technique in android smart phone with the controller. Hardware implementation involves construction of a prototype vehicle equipped with DC motor, motor driver, Bluetooth module, Arduino microcontroller and power supply unit. A set of data collection for voice command is analyzed to evaluate the accuracy of the speech recognition method. Result suggests the projection of command with clear and strong voice offers higher accuracy in providing a set of viable commands to the operating vehicle.
{"title":"Speech-controlled vehicle for manufacturing operation","authors":"A. H. M. Saod, N. A. Harron, F. Ahmad, N. H. Ishak, S. A. Ramlan, Anith Nuraini Abdul Rashid, Mohammad Khairul Nazrin Azmi","doi":"10.1109/ICCSCE.2016.7893625","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893625","url":null,"abstract":"This paper proposes a speech-control vehicle that can be operated in manufacturing line. The aim of the study is to recognize user's voice using speech recognition method for remotely controlling the movement of operating vehicle based on user's command. This project can be divided into two parts; development of android application and hardware implementation. Android application is developed to integrate the speech recognition technique in android smart phone with the controller. Hardware implementation involves construction of a prototype vehicle equipped with DC motor, motor driver, Bluetooth module, Arduino microcontroller and power supply unit. A set of data collection for voice command is analyzed to evaluate the accuracy of the speech recognition method. Result suggests the projection of command with clear and strong voice offers higher accuracy in providing a set of viable commands to the operating vehicle.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"6 3 1","pages":"490-493"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83066507","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}
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