Pub Date : 2017-08-01DOI: 10.1109/ICECOS.2017.8167135
F. Chowdhury, Laiha Binti Mat Kiah, M. Ahsan
Economic denial of sustainability (EDoS) appeared to be a new menace of cloud computing. This pristine attack is a breed of DoS or DDoS attack that targets the vulnerabilities of cloud consumers utility pricing model. EDoS attackers steadily send illegitimate traffic to gradually consume cloud resources such as virtual machines, virtual network devices, virtual security devices and databases so that it can trigger auto scaling features of cloud. Consequently, targeted cloud consumer ends up with an exorbitant amount of bill that may lead to bankruptcy. The other side effect of this attack is the persistent degradation of services faced by benign cloud users. This paper gives an overview of mitigation approaches proposed by researchers over the years exclusively for EDoS attack defense. We present a taxonomy of EDoS mitigation strategies with circumspect. The taxonomy focus evaluation metric used to mitigate EDoS along with its applicability in cloud environment. We further explore some open challenges that are yet to come into the light. Finally, a probable future direction is given at the end of this paper.
{"title":"Economic denial of sustainability (EDoS) mitigation approaches in cloud: Analysis and open challenges","authors":"F. Chowdhury, Laiha Binti Mat Kiah, M. Ahsan","doi":"10.1109/ICECOS.2017.8167135","DOIUrl":"https://doi.org/10.1109/ICECOS.2017.8167135","url":null,"abstract":"Economic denial of sustainability (EDoS) appeared to be a new menace of cloud computing. This pristine attack is a breed of DoS or DDoS attack that targets the vulnerabilities of cloud consumers utility pricing model. EDoS attackers steadily send illegitimate traffic to gradually consume cloud resources such as virtual machines, virtual network devices, virtual security devices and databases so that it can trigger auto scaling features of cloud. Consequently, targeted cloud consumer ends up with an exorbitant amount of bill that may lead to bankruptcy. The other side effect of this attack is the persistent degradation of services faced by benign cloud users. This paper gives an overview of mitigation approaches proposed by researchers over the years exclusively for EDoS attack defense. We present a taxonomy of EDoS mitigation strategies with circumspect. The taxonomy focus evaluation metric used to mitigate EDoS along with its applicability in cloud environment. We further explore some open challenges that are yet to come into the light. Finally, a probable future direction is given at the end of this paper.","PeriodicalId":6528,"journal":{"name":"2017 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"27 1","pages":"206-211"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88132007","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 : 2017-08-01DOI: 10.1109/ICECOS.2017.8167168
D. Purwanto, M. Rivai, Hendawan Soebhakti
Autonomous Indoor Vehicle (AIV) is used for various purposes so it can reduce human workload. This study aims to develop a corridor navigation system for AIV that utilizes vision-based multi point sensing. Multi-point sensing techniques on floor and corridor areas are used to detect obstacle-free areas and estimate the direction of AIV. Area detection and direction estimation are used as input information of navigation algorithm based on a fuzzy inference system to control AIV movement. The results of the experiments show that AIV can run along the corridor with the largest mean error of 6.49% with respect the centerline of the corridor.
{"title":"Vision-based multi-point sensing for corridor navigation of Autonomous Indoor Vehicle","authors":"D. Purwanto, M. Rivai, Hendawan Soebhakti","doi":"10.1109/ICECOS.2017.8167168","DOIUrl":"https://doi.org/10.1109/ICECOS.2017.8167168","url":null,"abstract":"Autonomous Indoor Vehicle (AIV) is used for various purposes so it can reduce human workload. This study aims to develop a corridor navigation system for AIV that utilizes vision-based multi point sensing. Multi-point sensing techniques on floor and corridor areas are used to detect obstacle-free areas and estimate the direction of AIV. Area detection and direction estimation are used as input information of navigation algorithm based on a fuzzy inference system to control AIV movement. The results of the experiments show that AIV can run along the corridor with the largest mean error of 6.49% with respect the centerline of the corridor.","PeriodicalId":6528,"journal":{"name":"2017 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"25 1","pages":"67-70"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79320684","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 : 2017-08-01DOI: 10.1109/ICECOS.2017.8167157
M. Sidik, H. Ahmad, I. Ullah, M. R. B. Baharom, H. Luqman, Z. Zainal
The consequences due to lightning on different building shapes needs a comprehensive knowledge in order to provide the information to the common man. This paper is mainly concern with the development of a small scale model to study impulse flashover and attachment pattern of protected building structures due to lightning strike. The lightning strike pattern of buildings is based on the practical experimental work in high voltage laboratory. Three models are chosen for the study and it was found that the LAT arrangement on a flat roof top square building and grounding terminal for the model must follow certain procedures in order to achieve 100% LAT attachment. The model that has been developed is useful where LAT's upward streamers analysis can be applied to analyse in term of the electric field effect on the lightning air terminal and the entire building structure interaction with lightning strikes.
{"title":"Small scale test model to study impulse flashover and attachment pattern of protected building structures","authors":"M. Sidik, H. Ahmad, I. Ullah, M. R. B. Baharom, H. Luqman, Z. Zainal","doi":"10.1109/ICECOS.2017.8167157","DOIUrl":"https://doi.org/10.1109/ICECOS.2017.8167157","url":null,"abstract":"The consequences due to lightning on different building shapes needs a comprehensive knowledge in order to provide the information to the common man. This paper is mainly concern with the development of a small scale model to study impulse flashover and attachment pattern of protected building structures due to lightning strike. The lightning strike pattern of buildings is based on the practical experimental work in high voltage laboratory. Three models are chosen for the study and it was found that the LAT arrangement on a flat roof top square building and grounding terminal for the model must follow certain procedures in order to achieve 100% LAT attachment. The model that has been developed is useful where LAT's upward streamers analysis can be applied to analyse in term of the electric field effect on the lightning air terminal and the entire building structure interaction with lightning strikes.","PeriodicalId":6528,"journal":{"name":"2017 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"52 1","pages":"316-320"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83958223","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 : 2017-08-01DOI: 10.1109/ICECOS.2017.8167136
J. H. Gultom, Maruf Harsono, Tubagus Dhika Khameswara, Handri Santoso
An agrarian country like Indonesia that has many diverse plants such as chilies that have economic value and very popular as food spices in Indonesia. However the problem is chili plants are very sensitive to several factors such as in soil moisture and weather changes and lack of monitoring. Automatic Water Sprinkle and Monitoring System is based on the problem mentioned before with the incorporation of IoT Technology in automatic water sprinkle and real-time monitoring. This system is designed to replace conventional chili sprinkle to automatic. The system using the moisture sensor to capture current moisture of the soil, and data will be processed in Arduino as microcontroller. This data will determine humidity to open or close valve. This system also uses pH sensor which is used to detect acidity or alkalinity for chili plant and EC sensor to determine the nutrient solution of the soil. The system is also equipped with neutralizing pH and EC automatically. pH sensor and EC sensors will be automated data collection, graphing, and data analysis. The result will be open valve to neutralizing fluid PH and EC. Processed data will be sent to the Web App via Ethernet Shield, Farmers can monitor chili plants in real-time using a smartphone. This paper focuses on optimize the use of water as needed of chili plants and Internet of Things (IoT) can be used to data analysis for managed and controlled in detail and precisely by Sensor.
{"title":"Smart IoT Water Sprinkle and Monitoring System for chili plant","authors":"J. H. Gultom, Maruf Harsono, Tubagus Dhika Khameswara, Handri Santoso","doi":"10.1109/ICECOS.2017.8167136","DOIUrl":"https://doi.org/10.1109/ICECOS.2017.8167136","url":null,"abstract":"An agrarian country like Indonesia that has many diverse plants such as chilies that have economic value and very popular as food spices in Indonesia. However the problem is chili plants are very sensitive to several factors such as in soil moisture and weather changes and lack of monitoring. Automatic Water Sprinkle and Monitoring System is based on the problem mentioned before with the incorporation of IoT Technology in automatic water sprinkle and real-time monitoring. This system is designed to replace conventional chili sprinkle to automatic. The system using the moisture sensor to capture current moisture of the soil, and data will be processed in Arduino as microcontroller. This data will determine humidity to open or close valve. This system also uses pH sensor which is used to detect acidity or alkalinity for chili plant and EC sensor to determine the nutrient solution of the soil. The system is also equipped with neutralizing pH and EC automatically. pH sensor and EC sensors will be automated data collection, graphing, and data analysis. The result will be open valve to neutralizing fluid PH and EC. Processed data will be sent to the Web App via Ethernet Shield, Farmers can monitor chili plants in real-time using a smartphone. This paper focuses on optimize the use of water as needed of chili plants and Internet of Things (IoT) can be used to data analysis for managed and controlled in detail and precisely by Sensor.","PeriodicalId":6528,"journal":{"name":"2017 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"11 1","pages":"212-216"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90314223","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 : 2017-08-01DOI: 10.1109/ICECOS.2017.8167137
M. A. A. Mamun, Jinat Afroj Puspo, A. Das
Road accident is a widespread problem all over the world. The number of the vehicle is increasing rapidly. Therefore, the probability of an accident is also increasing. So in this paper, we propose an IoT-based system for providing safe driving. It will collect data using smartphone and show the driver about the condition of the road. We have developed an Android based application which will collect data from a vehicle and send it to its nearest IoT-Fog server for processing the data quickly. We also developed two algorithms using k-means clustering approach which find the location of road anomalies and accident prone area. The result will be shown in Google map of driver's smartphone. This information will be stored in cloud for further use. We have tested our proposed system through statistical as well as experimental evaluations. Simulation result shows that our approach can provide better performance compared to state-of-the-art methods.
{"title":"An intelligent smartphone based approach using IoT for ensuring safe driving","authors":"M. A. A. Mamun, Jinat Afroj Puspo, A. Das","doi":"10.1109/ICECOS.2017.8167137","DOIUrl":"https://doi.org/10.1109/ICECOS.2017.8167137","url":null,"abstract":"Road accident is a widespread problem all over the world. The number of the vehicle is increasing rapidly. Therefore, the probability of an accident is also increasing. So in this paper, we propose an IoT-based system for providing safe driving. It will collect data using smartphone and show the driver about the condition of the road. We have developed an Android based application which will collect data from a vehicle and send it to its nearest IoT-Fog server for processing the data quickly. We also developed two algorithms using k-means clustering approach which find the location of road anomalies and accident prone area. The result will be shown in Google map of driver's smartphone. This information will be stored in cloud for further use. We have tested our proposed system through statistical as well as experimental evaluations. Simulation result shows that our approach can provide better performance compared to state-of-the-art methods.","PeriodicalId":6528,"journal":{"name":"2017 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"47 1","pages":"217-223"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80855249","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 : 2017-08-01DOI: 10.1109/ICECOS.2017.8167155
M. Ahmad, D. Periannan, M. Sabri, M. Aziz, G. Lu, Hongbo Zhang, Mona Riza Mohd Esa, V. Cooray
Emission heights for narrow bipolar events (NBEs) have been reported mostly from observations at mid latitudes but none have been reported from tropical regions. In this paper, we are reporting for the first time the heights of NBE emissions from a tropical storm over the Malacca Strait, a narrow water passage between the Malay Peninsula and Sumatra Island. A total of 49 positive NBEs (+NBEs) were detected from the storm. The NBE activity can be divided into two stages according to the emission heights and radar reflectivity data. The first stage (or S1) lasted for only 6 minutes, started with the first detected NBE, and produced 20 NBEs (41%). The emission heights ranged between 12.0 and 16.7 km. Radar reflectivity data showed that the storm reached maximum values at 55 dBZ within the period S1. In contrast, the second stage (S2) lasted longer (32 minutes) and produced 29 NBEs (59%). The emission heights were lower and ranged from 8.5 to 13.7 km. Radar reflectivity data showed that the storm reached maximum values at 50 dBZ within the period S2.
{"title":"Emission heights of narrow bipolar events in a tropical storm over the Malacca Strait","authors":"M. Ahmad, D. Periannan, M. Sabri, M. Aziz, G. Lu, Hongbo Zhang, Mona Riza Mohd Esa, V. Cooray","doi":"10.1109/ICECOS.2017.8167155","DOIUrl":"https://doi.org/10.1109/ICECOS.2017.8167155","url":null,"abstract":"Emission heights for narrow bipolar events (NBEs) have been reported mostly from observations at mid latitudes but none have been reported from tropical regions. In this paper, we are reporting for the first time the heights of NBE emissions from a tropical storm over the Malacca Strait, a narrow water passage between the Malay Peninsula and Sumatra Island. A total of 49 positive NBEs (+NBEs) were detected from the storm. The NBE activity can be divided into two stages according to the emission heights and radar reflectivity data. The first stage (or S1) lasted for only 6 minutes, started with the first detected NBE, and produced 20 NBEs (41%). The emission heights ranged between 12.0 and 16.7 km. Radar reflectivity data showed that the storm reached maximum values at 55 dBZ within the period S1. In contrast, the second stage (S2) lasted longer (32 minutes) and produced 29 NBEs (59%). The emission heights were lower and ranged from 8.5 to 13.7 km. Radar reflectivity data showed that the storm reached maximum values at 50 dBZ within the period S2.","PeriodicalId":6528,"journal":{"name":"2017 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"107 1","pages":"305-309"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85592248","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 : 2017-08-01DOI: 10.1109/ICECOS.2017.8167128
M. Riyadi, N. Sudira, M. Hanif, A. Triwiyatno
Pick and Place Robot is a type of robot with “Pick and Place mechanism” designed to ease the displacement of objects from 1 position to another as desired. Some systems in the industries embrace the efficiency which is a production line usually enabled in order to produce several different types of objects in turn. Based on these circumstances, Pick and Place robot was designed to have 9 laying position divided into 3 main groups, namely A, B, and C and 2 disposal positions included in group X for objects instead of main group. The sensors used for detecting and classifying objects are using an RFID system (Radio Frequency Identification) because each RFID tag has a unique code and different from another. STM32VLDISCOVERY was used as a main controller for displacement movement of objects in the robot and classifying objects simultaneously. STM32VLDISCOVERY is a development kit integrated with a microcontroller STM32F100RBT6B which has a microprocessor based on ARM Cortex-M3. The classification system uses major ASCII 8th and 9th data from RFID tags to distinguish objects in each group. Based on the test of the entire system, Pick and Place robot successfully worked to move the specimen that has been mounted RFID tag to a predetermined position according to the group of objects and whether the position is empty or not.
拾放机器人是一种具有“拾放机构”的机器人，其设计目的是根据需要将物体从一个位置移动到另一个位置。工业中的一些系统采用了效率，这是一条生产线，通常是为了依次生产几种不同类型的物体而启用的。基于这些情况，我们设计了拾取机器人，将9个放置位置分为A、B、C 3个主要组，并将2个放置位置包含在X组中，用于放置物体而不是主组。用于检测和分类物体的传感器使用RFID系统(无线射频识别)，因为每个RFID标签都有唯一的代码，并且彼此不同。采用STM32VLDISCOVERY作为机器人中物体位移运动的主控制器，同时对物体进行分类。STM32VLDISCOVERY是一个集成了微控制器STM32F100RBT6B的开发套件，该微控制器具有基于ARM Cortex-M3的微处理器。分类系统使用RFID标签的主要ASCII 8和9数据来区分每组中的对象。通过对整个系统的测试，Pick and Place机器人成功地将已安装RFID标签的样品根据物体组和是否空的位置移动到预定的位置。
{"title":"Design of pick and place robot with identification and classification object based on RFID using STM32VLDISCOVERY","authors":"M. Riyadi, N. Sudira, M. Hanif, A. Triwiyatno","doi":"10.1109/ICECOS.2017.8167128","DOIUrl":"https://doi.org/10.1109/ICECOS.2017.8167128","url":null,"abstract":"Pick and Place Robot is a type of robot with “Pick and Place mechanism” designed to ease the displacement of objects from 1 position to another as desired. Some systems in the industries embrace the efficiency which is a production line usually enabled in order to produce several different types of objects in turn. Based on these circumstances, Pick and Place robot was designed to have 9 laying position divided into 3 main groups, namely A, B, and C and 2 disposal positions included in group X for objects instead of main group. The sensors used for detecting and classifying objects are using an RFID system (Radio Frequency Identification) because each RFID tag has a unique code and different from another. STM32VLDISCOVERY was used as a main controller for displacement movement of objects in the robot and classifying objects simultaneously. STM32VLDISCOVERY is a development kit integrated with a microcontroller STM32F100RBT6B which has a microprocessor based on ARM Cortex-M3. The classification system uses major ASCII 8th and 9th data from RFID tags to distinguish objects in each group. Based on the test of the entire system, Pick and Place robot successfully worked to move the specimen that has been mounted RFID tag to a predetermined position according to the group of objects and whether the position is empty or not.","PeriodicalId":6528,"journal":{"name":"2017 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"19 1","pages":"171-176"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82543248","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 : 2017-08-01DOI: 10.1109/ICECOS.2017.8167132
M. Fachrurrozi, Erwin, Saparudin, Mardiana
Real-time face recognition system process divided into three steps, feature extraction, clustering, detection, and recognition. Each step uses a different method that is Local Binary Pattern (LBP), Agglomerative Hierarchical Clustering (AHC) and Euclidean Distance. Content Based Image Retrieval (CBIR), an image searching techniques based on image feature, is implemented as the searching method. Based experiments and the testing result, recall and precision values are 65.32% and 64.93% respectively.
{"title":"Multi-object face recognition using Content Based Image Retrieval (CBIR)","authors":"M. Fachrurrozi, Erwin, Saparudin, Mardiana","doi":"10.1109/ICECOS.2017.8167132","DOIUrl":"https://doi.org/10.1109/ICECOS.2017.8167132","url":null,"abstract":"Real-time face recognition system process divided into three steps, feature extraction, clustering, detection, and recognition. Each step uses a different method that is Local Binary Pattern (LBP), Agglomerative Hierarchical Clustering (AHC) and Euclidean Distance. Content Based Image Retrieval (CBIR), an image searching techniques based on image feature, is implemented as the searching method. Based experiments and the testing result, recall and precision values are 65.32% and 64.93% respectively.","PeriodicalId":6528,"journal":{"name":"2017 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"5 1","pages":"193-197"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75508044","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 : 2017-08-01DOI: 10.1109/ICECOS.2017.8167167
Nurul Ikhlas Septiani, Ike Bayusari, Caroline, T. Haiyunnisa, B. Suprapto
This paper describes a method to determine Proportional Integral Derivative (PID) controller parameter using Genetic Algorithm with the Fuzzy Logic controller of temperature control of Stirred Tank Heater. The system design begins with the search for the transfer function on the Stirred Tank Heater. The fuzzy logic system design is used to find the parameters in the Genetic Algorithm is the probability of crossover and the probability of mutation. This parameter is used to find the value of Kp, Ki, and Kd on the PID controller. Based on the experiment, the control system output response reaches error steady state, and overshoot are smaller when the controller is tuned with Genetic Algorithm plus Fuzzy Logic than Ziegler-Nichols method. But in term rise time and settling time, Ziegler-Nichols method is smaller than Genetic Algorithm plus Fuzzy Logic method.
{"title":"Optimization of PID control parameters with genetic algorithm plus fuzzy logic in stirred tank heater temperature control process","authors":"Nurul Ikhlas Septiani, Ike Bayusari, Caroline, T. Haiyunnisa, B. Suprapto","doi":"10.1109/ICECOS.2017.8167167","DOIUrl":"https://doi.org/10.1109/ICECOS.2017.8167167","url":null,"abstract":"This paper describes a method to determine Proportional Integral Derivative (PID) controller parameter using Genetic Algorithm with the Fuzzy Logic controller of temperature control of Stirred Tank Heater. The system design begins with the search for the transfer function on the Stirred Tank Heater. The fuzzy logic system design is used to find the parameters in the Genetic Algorithm is the probability of crossover and the probability of mutation. This parameter is used to find the value of Kp, Ki, and Kd on the PID controller. Based on the experiment, the control system output response reaches error steady state, and overshoot are smaller when the controller is tuned with Genetic Algorithm plus Fuzzy Logic than Ziegler-Nichols method. But in term rise time and settling time, Ziegler-Nichols method is smaller than Genetic Algorithm plus Fuzzy Logic method.","PeriodicalId":6528,"journal":{"name":"2017 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"10 1","pages":"61-66"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79409464","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 : 2017-08-01DOI: 10.1109/ICECOS.2017.8167144
Harmini, Titik Nurhayati
Monitoring system was designed by using the voltage sensors and the current sensors that had been calibrated. Data acquisition system was integrated with Excel by using Visual Basic program. The system design used Atmega 8 microcontroller connected to a laptop / PC via Ethernet WIZ107SR and Netgear router. The accuracy of the photovoltaic panel output parameter reading was determined by the accuracy of the reading of the current sensors and the voltage sensors used in the monitoring system. The difference in voltage and current sensors reading between the measurement of monitoring system and multimeter measurement was 0.08 Volt and 0.02 Ampere. The percentage of reading error of voltage sensors and current sensors between the monitoring system measurement and multimeter measurement was 0.69% and 5%. The accuracy of the voltage sensors reading was 99.31% and the current sensors was 95%.
{"title":"Monitoring system of stand alone solar photovoltaic data","authors":"Harmini, Titik Nurhayati","doi":"10.1109/ICECOS.2017.8167144","DOIUrl":"https://doi.org/10.1109/ICECOS.2017.8167144","url":null,"abstract":"Monitoring system was designed by using the voltage sensors and the current sensors that had been calibrated. Data acquisition system was integrated with Excel by using Visual Basic program. The system design used Atmega 8 microcontroller connected to a laptop / PC via Ethernet WIZ107SR and Netgear router. The accuracy of the photovoltaic panel output parameter reading was determined by the accuracy of the reading of the current sensors and the voltage sensors used in the monitoring system. The difference in voltage and current sensors reading between the measurement of monitoring system and multimeter measurement was 0.08 Volt and 0.02 Ampere. The percentage of reading error of voltage sensors and current sensors between the monitoring system measurement and multimeter measurement was 0.69% and 5%. The accuracy of the voltage sensors reading was 99.31% and the current sensors was 95%.","PeriodicalId":6528,"journal":{"name":"2017 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"20 1","pages":"254-258"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73873704","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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