Pub Date : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893618
Julius T. Sese, Joseph Bryan G. Ibarra, M. A. Latina, Rene Thomas Buenafe, G. Cruz, Mark Angelo Mirano, J. J. Yu
This paper presents a study on harvesting electrical energy with the use of thermoelectric coolers (TEC) or peltier tiles using body heat in different workout activities. The harvesting circuit composes of a Peltier tiles, joule thief circuit and rechargeable battery. The TECs will exhibit the Seebeck effect phenomenon in which a voltage is produce when there is a temperature difference between two dissimilar conductors. Each side of the tiles will be the hot side and cool side which are interchangeable depending on the flow of current. Joule thief performs as a self oscillating voltage booster circuitry for small power applications. The rechargeable battery store the voltage collected from the joule thief. The researcher measured the voltage and current generated during different workout activities and based from the values obtained, jogging using a treadmill is the most effective workout that generated the most voltage in a certain amount of time compared to stationary bicycling and bench press. The researcher calculated the approximated time for charging the fully discharged battery and found out that it will take 38,461.54 hours for the full charge of a 1000 mAh battery rating.
{"title":"Harvesting electrical power through body heat in different workout activities using Peltier tiles","authors":"Julius T. Sese, Joseph Bryan G. Ibarra, M. A. Latina, Rene Thomas Buenafe, G. Cruz, Mark Angelo Mirano, J. J. Yu","doi":"10.1109/ICCSCE.2016.7893618","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893618","url":null,"abstract":"This paper presents a study on harvesting electrical energy with the use of thermoelectric coolers (TEC) or peltier tiles using body heat in different workout activities. The harvesting circuit composes of a Peltier tiles, joule thief circuit and rechargeable battery. The TECs will exhibit the Seebeck effect phenomenon in which a voltage is produce when there is a temperature difference between two dissimilar conductors. Each side of the tiles will be the hot side and cool side which are interchangeable depending on the flow of current. Joule thief performs as a self oscillating voltage booster circuitry for small power applications. The rechargeable battery store the voltage collected from the joule thief. The researcher measured the voltage and current generated during different workout activities and based from the values obtained, jogging using a treadmill is the most effective workout that generated the most voltage in a certain amount of time compared to stationary bicycling and bench press. The researcher calculated the approximated time for charging the fully discharged battery and found out that it will take 38,461.54 hours for the full charge of a 1000 mAh battery rating.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"20 1","pages":"460-463"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84534898","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.2016.7893542
H. Al-Najjar, Sammer-Ul Hassan
This study investigates the main characteristics of the job scheduling models and how different researches solved the problem using different models in distributed environment. After analyzing the problem from different directions, the results showed that many parameters such as step creation time, number of resources and dependency between jobs can effect on the job scheduling model and in some cases can hurt the performance of the system.
{"title":"A survey of job scheduling algorithms in distributed environment","authors":"H. Al-Najjar, Sammer-Ul Hassan","doi":"10.1109/ICCSCE.2016.7893542","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893542","url":null,"abstract":"This study investigates the main characteristics of the job scheduling models and how different researches solved the problem using different models in distributed environment. After analyzing the problem from different directions, the results showed that many parameters such as step creation time, number of resources and dependency between jobs can effect on the job scheduling model and in some cases can hurt the performance of the system.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"16 1","pages":"39-44"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88432770","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.2016.7893590
S. Shukor, Shafarudin Amiruddin, B. Ilias
Human tracking has always been an interest, due to its importance in many areas, from security, surveillance, defence, as well as for mobile robotics applications like human following. Recently, a large number of tracking algorithms have been proposed, and a lot of them have been compared for extensive evaluation, however there are still limited to certain methods or situations only. Here, analysis towards tracking algorithms - Kalman Filter (KF), Mean-Shift Filter (MSF) and Partial Least Square (PLS) - are done to evaluate their performances. Two situations of human walking and running in outdoor surrounding were chosen, and the computational time over tracking in several parameters of colour effect, human orientation and movement were analysed and evaluated. The effect of these parameters were also analysed while the selected algorithms perform the tracking. Based on the analysis, it is shown that MSF and KF perform well in tracking human in the designated conditions. Apart from that, it can also be concluded that the selected parameters do give impacts towards the performance of these algorithms in tracking human, which can act as a guide in developing a more robust algorithm in the future.
{"title":"Analysis and evaluation of human tracking methods from video","authors":"S. Shukor, Shafarudin Amiruddin, B. Ilias","doi":"10.1109/ICCSCE.2016.7893590","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893590","url":null,"abstract":"Human tracking has always been an interest, due to its importance in many areas, from security, surveillance, defence, as well as for mobile robotics applications like human following. Recently, a large number of tracking algorithms have been proposed, and a lot of them have been compared for extensive evaluation, however there are still limited to certain methods or situations only. Here, analysis towards tracking algorithms - Kalman Filter (KF), Mean-Shift Filter (MSF) and Partial Least Square (PLS) - are done to evaluate their performances. Two situations of human walking and running in outdoor surrounding were chosen, and the computational time over tracking in several parameters of colour effect, human orientation and movement were analysed and evaluated. The effect of these parameters were also analysed while the selected algorithms perform the tracking. Based on the analysis, it is shown that MSF and KF perform well in tracking human in the designated conditions. Apart from that, it can also be concluded that the selected parameters do give impacts towards the performance of these algorithms in tracking human, which can act as a guide in developing a more robust algorithm in the future.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"445 1","pages":"310-315"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88718820","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.2016.7893614
Angelo Nikko Catapang, M. Ramos
Obstacle detection is a requirement for Advanced Driver Assistance Systems (ADAS) which are the precursors to autonomous vehicle systems. A number of sensor systems have been used before to perform obstacle detection. One particular sensor system is the LIDAR system which is noted for its accuracy in measuring distances. However, most commercially available LIDAR (Light Detection and Ranging) systems are expensive and computationally intensive. This research characterizes an inexpensive 2D LIDAR system using the LIDAR-Lite v1 for use in obstacle detection for autonomous vehicles. Since data acquisition occurs only in a single plane, the system should be computationally fast. The field of vision should be capable of up to 360 degrees. The data acquired was median-filtered and pre-processed by the merging and segmentation of data points. Obstacle detection was then performed via clustering. Results show that obstacles with widths of 1 meter can be detected at distances of 10 meters.
先进驾驶辅助系统(ADAS)是自动驾驶汽车系统的前身，障碍物检测是ADAS的一项要求。在进行障碍物检测之前，已经使用了许多传感器系统。一种特殊的传感器系统是激光雷达系统，它以测量距离的准确性而闻名。然而，大多数商业上可用的激光雷达(光探测和测距)系统是昂贵的和计算密集型的。这项研究的特点是使用LIDAR- lite v1的廉价2D激光雷达系统，用于自动驾驶汽车的障碍物检测。由于数据采集只发生在一个平面上，所以系统的计算速度应该很快。视野应该能够达到360度。对采集到的数据进行中值滤波，并对数据点进行合并和分割预处理。然后通过聚类进行障碍物检测。结果表明，宽度为1米的障碍物可以在距离为10米的地方被检测到。
{"title":"Obstacle detection using a 2D LIDAR system for an Autonomous Vehicle","authors":"Angelo Nikko Catapang, M. Ramos","doi":"10.1109/ICCSCE.2016.7893614","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893614","url":null,"abstract":"Obstacle detection is a requirement for Advanced Driver Assistance Systems (ADAS) which are the precursors to autonomous vehicle systems. A number of sensor systems have been used before to perform obstacle detection. One particular sensor system is the LIDAR system which is noted for its accuracy in measuring distances. However, most commercially available LIDAR (Light Detection and Ranging) systems are expensive and computationally intensive. This research characterizes an inexpensive 2D LIDAR system using the LIDAR-Lite v1 for use in obstacle detection for autonomous vehicles. Since data acquisition occurs only in a single plane, the system should be computationally fast. The field of vision should be capable of up to 360 degrees. The data acquired was median-filtered and pre-processed by the merging and segmentation of data points. Obstacle detection was then performed via clustering. Results show that obstacles with widths of 1 meter can be detected at distances of 10 meters.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"100 1","pages":"441-445"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82848160","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.2016.7893611
Jessie R. Balbin, Dionis A. Padilla, F. Caluyo, Janette C. Fausto, Carlos C. Hortinela, C. O. Manlises, Christine Kate S. Bernardino, Ezra G. Fiñones, Lanuelle T. Ventura
Kohonen Self Organizing Maps are a type of Neural Networks which learn to recognize patterns and classify data sets in unsupervised manner. This research aimed to develop a system which converts hand gestures into Filipino words using algorithm such as Kohonen Self-Organizing Map. The system uses a webcam to capture hand images which can be processed to serve as input for Self-Organizing Map. Image processing techniques such as: color segmentation, visual-hand tracking, pre-processing, and feature extraction are used to achieve the objective. The system was developed using neural network toolbox and graphical user interface in MATLAB. The results show that the system can achieve 97.6% of recognition rate for 5 persons. It can be concluded that the system can be used by different users while generating high recognition rate.
{"title":"Sign language word translator using Neural Networks for the Aurally Impaired as a tool for communication","authors":"Jessie R. Balbin, Dionis A. Padilla, F. Caluyo, Janette C. Fausto, Carlos C. Hortinela, C. O. Manlises, Christine Kate S. Bernardino, Ezra G. Fiñones, Lanuelle T. Ventura","doi":"10.1109/ICCSCE.2016.7893611","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893611","url":null,"abstract":"Kohonen Self Organizing Maps are a type of Neural Networks which learn to recognize patterns and classify data sets in unsupervised manner. This research aimed to develop a system which converts hand gestures into Filipino words using algorithm such as Kohonen Self-Organizing Map. The system uses a webcam to capture hand images which can be processed to serve as input for Self-Organizing Map. Image processing techniques such as: color segmentation, visual-hand tracking, pre-processing, and feature extraction are used to achieve the objective. The system was developed using neural network toolbox and graphical user interface in MATLAB. The results show that the system can achieve 97.6% of recognition rate for 5 persons. It can be concluded that the system can be used by different users while generating high recognition rate.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"10 1","pages":"425-429"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83201815","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.2016.7893593
Erna Daniati, Arie Nugroho
Thesis is an essential requirement for students to graduate. Students choose thesis topic according to their interests. In fact, many students choose inappropriate topic for their thesis and cause their thesis quality are bad. One of ways to solve the problem is to develop information system in form of Decision Support System (DSS). DSS needs data modeling and process to generate alternative decisions. Data modeling is in form of clustering using K-Means. This process generates clusters and weights to each topic. Weight is used to generate alternative decisions using Simple Additive Weighting Method. Combination K-Means and SAW can generate calculation fast to produce alternative decisions. This solution to support topic selection is excepted to contribute choosing thesis topic according to students ability.
{"title":"K-Means clustering with Decision Support System using SAW: Determining thesis topic","authors":"Erna Daniati, Arie Nugroho","doi":"10.1109/ICCSCE.2016.7893593","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893593","url":null,"abstract":"Thesis is an essential requirement for students to graduate. Students choose thesis topic according to their interests. In fact, many students choose inappropriate topic for their thesis and cause their thesis quality are bad. One of ways to solve the problem is to develop information system in form of Decision Support System (DSS). DSS needs data modeling and process to generate alternative decisions. Data modeling is in form of clustering using K-Means. This process generates clusters and weights to each topic. Weight is used to generate alternative decisions using Simple Additive Weighting Method. Combination K-Means and SAW can generate calculation fast to produce alternative decisions. This solution to support topic selection is excepted to contribute choosing thesis topic according to students ability.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"10 1","pages":"326-331"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84229206","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.2016.7893636
A.D.M. Rosman, A. Razak, M. F. Azmi, S. A. Al Junid, A. Halim, M. Idros
This paper presents the capabilities of glass Indium Tin Oxide (ITO) for engine oil degradation sensing monitoring system with resistive application. The glass ITO is a resistive material which has the ability to measure oil samples in resistive. This material is ideal with its durability and heat resistant characteristics. The characteristics of Indium Tin Oxide will be measured in voltage and resistance with suitable ROIC circuit interface. Aim for this research is to classify the resistance value with the same type engine oil with different lifespans. It is believe that this new type bulk resistive material can improve the oil degradation sensing in automotive application and cheaper manufacturing. A simple innovation system is constructed to provide oil conditioning in vehicle with implementing the small glass ITO at the end of the dipstick. This innovation is more precise way to determine the oil degradation with conditioning method.
{"title":"Capability of Indium Tin Oxide as a sensing mechanism for engine oil degradation monitoring","authors":"A.D.M. Rosman, A. Razak, M. F. Azmi, S. A. Al Junid, A. Halim, M. Idros","doi":"10.1109/ICCSCE.2016.7893636","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893636","url":null,"abstract":"This paper presents the capabilities of glass Indium Tin Oxide (ITO) for engine oil degradation sensing monitoring system with resistive application. The glass ITO is a resistive material which has the ability to measure oil samples in resistive. This material is ideal with its durability and heat resistant characteristics. The characteristics of Indium Tin Oxide will be measured in voltage and resistance with suitable ROIC circuit interface. Aim for this research is to classify the resistance value with the same type engine oil with different lifespans. It is believe that this new type bulk resistive material can improve the oil degradation sensing in automotive application and cheaper manufacturing. A simple innovation system is constructed to provide oil conditioning in vehicle with implementing the small glass ITO at the end of the dipstick. This innovation is more precise way to determine the oil degradation with conditioning method.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"20 1","pages":"546-550"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82138957","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.2016.7893594
Sabri Yilmaz, Metin Gökaşan
Robot manipulation has been an interesting topic for researchers over decades. While researches are going on, different problems occurred. One of the most important problems is energy consumption. Because operation time of mobile robots is fully related with energy consumption. In this study two main problems are taken into consideration, first one is minimization of energy consumption and second one is obstacle avoidance. For this purpose, a simple robot manipulator with two degrees of freedom is chosen. The objective function is selected as a function of applied torque values at the joints, minimization of objective function, results in minimization of motor currents. The algorithm checks if there is a contact between the obstacles and the manipulator, while the algorithm is searching for the trajectory polynomial that requires minimum energy consumption. Finally, the algorithm finds the trajectory polynomial that contains no contact between the manipulator and the obstacles, also minimizes energy consumption.
{"title":"Energy efficient trajectory planning via Big Bang Big Crunch with obstacle avoidance","authors":"Sabri Yilmaz, Metin Gökaşan","doi":"10.1109/ICCSCE.2016.7893594","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893594","url":null,"abstract":"Robot manipulation has been an interesting topic for researchers over decades. While researches are going on, different problems occurred. One of the most important problems is energy consumption. Because operation time of mobile robots is fully related with energy consumption. In this study two main problems are taken into consideration, first one is minimization of energy consumption and second one is obstacle avoidance. For this purpose, a simple robot manipulator with two degrees of freedom is chosen. The objective function is selected as a function of applied torque values at the joints, minimization of objective function, results in minimization of motor currents. The algorithm checks if there is a contact between the obstacles and the manipulator, while the algorithm is searching for the trajectory polynomial that requires minimum energy consumption. Finally, the algorithm finds the trajectory polynomial that contains no contact between the manipulator and the obstacles, also minimizes energy consumption.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"1 1","pages":"332-337"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77816312","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.2016.7893566
S. Shukor, M. A. A. Rahim, B. Ilias
The need to have a system that able to detect and track human is very important as it can be used to develop human-following robot for various tasks. This paper describes the best parameters that can be utilized in human tracking using skeleton-based method. Kinect sensor is used as it is preferred by others due to its cost and performance. In this paper, different types of parameters are quantitatively measured in order to choose the optimum scene that can be used for tracking human using skeleton-based method. Parameters such as distances to the sensor, lighting intensity, and the presence of obstacle are selected as these are among the main factors that need to be considered while tracking human indoor. Statistical analysis is done to the collected data in order to make final justifications. It can be concluded that the ideal conditions for the Kinect to detect and track human using skeleton-based algorithm would be at a distance of 3 meters from the sensor, lightings of 158 lux, and with minimal or no obstacles at all. These conditions can be considered by others when adapting Kinect for human tracking using skeleton-based method, especially for indoor mobile robotics applications.
{"title":"Scene parameters analysis of skeleton-based human detection for a mobile robot using Kinect","authors":"S. Shukor, M. A. A. Rahim, B. Ilias","doi":"10.1109/ICCSCE.2016.7893566","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893566","url":null,"abstract":"The need to have a system that able to detect and track human is very important as it can be used to develop human-following robot for various tasks. This paper describes the best parameters that can be utilized in human tracking using skeleton-based method. Kinect sensor is used as it is preferred by others due to its cost and performance. In this paper, different types of parameters are quantitatively measured in order to choose the optimum scene that can be used for tracking human using skeleton-based method. Parameters such as distances to the sensor, lighting intensity, and the presence of obstacle are selected as these are among the main factors that need to be considered while tracking human indoor. Statistical analysis is done to the collected data in order to make final justifications. It can be concluded that the ideal conditions for the Kinect to detect and track human using skeleton-based algorithm would be at a distance of 3 meters from the sensor, lightings of 158 lux, and with minimal or no obstacles at all. These conditions can be considered by others when adapting Kinect for human tracking using skeleton-based method, especially for indoor mobile robotics applications.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"58 1","pages":"173-178"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80611407","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.2016.7893627
M. N.S., N. Abdullah, M. Yaacob
This paper presents the development of easy-to-operate automated measurement system capable in obtaining I–V characteristics of diode. Characterization and testing of semiconductor device using data acquisition system can become easier than conventional method as lot of testing during research is needed to examine the performance of diode. Therefore an easy and yet efficient measurement system is needed to accomplish the necessity. The proposed system comprises of Phidget Interface Kit 8/8/8 which is used to acquire voltage and current measures from Phidget voltage sensors and sending it through USB (Universal Serial Bus) to personal computer (PC). LabVIEW used as the PC graphical interface to control data acquisition, display voltage and current value and to analyze the data. Current-voltage (I–V) characteristics of silicon rectifier diode and Schottky diode and the knee voltage for each diode have been determined. The measured knee voltage for silicon diode is 0.6 volts and for Schottky diode is 0.3 volts which are close to the theoretical values. The proposed system also capable in characterizes any two terminals devices such as resistor, transistor and integrated circuits.
{"title":"Automated measurement system for diode I–V characterization","authors":"M. N.S., N. Abdullah, M. Yaacob","doi":"10.1109/ICCSCE.2016.7893627","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893627","url":null,"abstract":"This paper presents the development of easy-to-operate automated measurement system capable in obtaining I–V characteristics of diode. Characterization and testing of semiconductor device using data acquisition system can become easier than conventional method as lot of testing during research is needed to examine the performance of diode. Therefore an easy and yet efficient measurement system is needed to accomplish the necessity. The proposed system comprises of Phidget Interface Kit 8/8/8 which is used to acquire voltage and current measures from Phidget voltage sensors and sending it through USB (Universal Serial Bus) to personal computer (PC). LabVIEW used as the PC graphical interface to control data acquisition, display voltage and current value and to analyze the data. Current-voltage (I–V) characteristics of silicon rectifier diode and Schottky diode and the knee voltage for each diode have been determined. The measured knee voltage for silicon diode is 0.6 volts and for Schottky diode is 0.3 volts which are close to the theoretical values. The proposed system also capable in characterizes any two terminals devices such as resistor, transistor and integrated circuits.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"25 1","pages":"498-501"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80795944","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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