Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752704
F. D. S. Sumadi, Diah Risqiwati, Syaifuddin
In order to achieve high scalability during the network discovery process in software-defined networking (SDN), an extensive method for generating switch-based proxy is essential. This paper investigated the semi reactive solution for guiding the controller to build an OFPT_FLOW_MOD message that allowed SDN switch to reply an Address Resolution Protocol (ARP) request directly by deploying the semi-reactive switch-based proxy ARP application in northbound application programming interface (API). We conduct the experiment by using Open Networking Operating System (ONOS) an open-source SDN controller simulated in Mininet environment. As can be seen from the evaluation result, the installed application can reduce the ARP reaction time up to 95% calculated from the sender host. The final result also indicates that our approach can decrease the controller's loads significantly.
{"title":"Semi-reactive Switch Based Proxy ARP in SDN","authors":"F. D. S. Sumadi, Diah Risqiwati, Syaifuddin","doi":"10.1109/EECSI.2018.8752704","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752704","url":null,"abstract":"In order to achieve high scalability during the network discovery process in software-defined networking (SDN), an extensive method for generating switch-based proxy is essential. This paper investigated the semi reactive solution for guiding the controller to build an OFPT_FLOW_MOD message that allowed SDN switch to reply an Address Resolution Protocol (ARP) request directly by deploying the semi-reactive switch-based proxy ARP application in northbound application programming interface (API). We conduct the experiment by using Open Networking Operating System (ONOS) an open-source SDN controller simulated in Mininet environment. As can be seen from the evaluation result, the installed application can reduce the ARP reaction time up to 95% calculated from the sender host. The final result also indicates that our approach can decrease the controller's loads significantly.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"47 1","pages":"478-482"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74507837","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752860
S. Pramono, E. Triyono
This paper investigates the comparative performance of linear precoding schemes. The linear precoding schemes are including block diagonalization (BD), zero forcing (ZF), and maximum ratio transmission (MRT) in downlink multi-user MIMO. This work delivers the performance of linear precoding in term of achievable sum rate and bit error rate (BER) with a variation of the signal to noise ratio (SNR) and the number of transmitter-receiver antennas. We suppose that the transmitters have a complete channel state information. The results show that the MRT precoding yields better bit error rate than both the BD and ZF precoding schemes. However, the ZF precoding generates better achievable sum rate than the MRT precoding. In the other side, the MRT precoding also outperforms when the number of active users is bigger than Kcross while the number of active users is less than Kcross the ZF precoding is still dominant.
{"title":"Comparative Performance Analysis of Linear Precoding in Downlink Multi-user MIMO","authors":"S. Pramono, E. Triyono","doi":"10.1109/EECSI.2018.8752860","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752860","url":null,"abstract":"This paper investigates the comparative performance of linear precoding schemes. The linear precoding schemes are including block diagonalization (BD), zero forcing (ZF), and maximum ratio transmission (MRT) in downlink multi-user MIMO. This work delivers the performance of linear precoding in term of achievable sum rate and bit error rate (BER) with a variation of the signal to noise ratio (SNR) and the number of transmitter-receiver antennas. We suppose that the transmitters have a complete channel state information. The results show that the MRT precoding yields better bit error rate than both the BD and ZF precoding schemes. However, the ZF precoding generates better achievable sum rate than the MRT precoding. In the other side, the MRT precoding also outperforms when the number of active users is bigger than Kcross while the number of active users is less than Kcross the ZF precoding is still dominant.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"4 1","pages":"277-280"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79663677","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 : 2018-10-01DOI: 10.11591/IJEECS.V14.I2.PP1012-1017
Mustafa Ghanim, M. Alhilali, J. Din, H. Y. Lam
Millimetre wave band is a solid contender to be utilized for the future 5G wireless systems deployment. Rain-induced attenuation is a major disadvantage at these frequencies. This paper presents statistics of rain-induced attenuation and rainfall data for two years of horizontally polarized links propagating at 38 GHz and 26 GHz over a terrestrial path link of 301 meters. From the analysed datasets, a rain rate around 116 mm/h exceeded at 0.01% of the time of an average year, while the links recorded 16 and 9.5 dB at the same percentage of time for 38 and 26 GHz respectively. The study aims to identify the prediction model that deliver most reasonable predictions for 5G links operating in Malaysian tropical climate. ITU-R P.530-17, Mello’s, and Ghiani’s models were all examined. Using ITU-R model, relative error margins of around 3.8%, 30% and 49.7% alongside 22.3, 9.5, 33% were obtained in 0.1%, 0.01% and 0.001% of the time for 26 and 38 GHz respectively. Curiously, ITU-R model demonstrates better predictions to measured rain attenuation with lower error probability. This study highlights the need for new prediction models for short path-length 5G links and helps to improve the design of terrestrial links operating at millimetre wave frequencies in tropical regions.
{"title":"Rain Attenuation Statistics over 5G Millimetre Wave Links in Malaysia","authors":"Mustafa Ghanim, M. Alhilali, J. Din, H. Y. Lam","doi":"10.11591/IJEECS.V14.I2.PP1012-1017","DOIUrl":"https://doi.org/10.11591/IJEECS.V14.I2.PP1012-1017","url":null,"abstract":"Millimetre wave band is a solid contender to be utilized for the future 5G wireless systems deployment. Rain-induced attenuation is a major disadvantage at these frequencies. This paper presents statistics of rain-induced attenuation and rainfall data for two years of horizontally polarized links propagating at 38 GHz and 26 GHz over a terrestrial path link of 301 meters. From the analysed datasets, a rain rate around 116 mm/h exceeded at 0.01% of the time of an average year, while the links recorded 16 and 9.5 dB at the same percentage of time for 38 and 26 GHz respectively. The study aims to identify the prediction model that deliver most reasonable predictions for 5G links operating in Malaysian tropical climate. ITU-R P.530-17, Mello’s, and Ghiani’s models were all examined. Using ITU-R model, relative error margins of around 3.8%, 30% and 49.7% alongside 22.3, 9.5, 33% were obtained in 0.1%, 0.01% and 0.001% of the time for 26 and 38 GHz respectively. Curiously, ITU-R model demonstrates better predictions to measured rain attenuation with lower error probability. This study highlights the need for new prediction models for short path-length 5G links and helps to improve the design of terrestrial links operating at millimetre wave frequencies in tropical regions.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"7 1","pages":"266-269"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78681886","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752763
Hurriyatul Fitriyah, Gembong Edhi Setyawan
Estimating weight based on 2D image is advantageous especially for contactless and rapid measurement. Several researches used additional thermal camera or Kinect camera, required subjects to do front and side pose and manually extract body measures. This research propose an algorithm to estimate body weight automatically using 2D visual image where subject only do front pose. This research studied 4 features of body measures which are: (F1) height, and width of (F2) shoulder, (F3) abdomen/waist plus arm, (F4) feet. Each feature was simply subtracted based on body proportion where normal body has 8 equal segments. Shoulder is in 2nd segment, abdomen/waist is in 4th segment and feet is in the last segment. Multiple Linear Regression is used to determine weight estimation formula of all combination of 4 features, 15 in total. The highest significance R2 (0.80) and RMSE 2.68 Kg is given when using all 4 features in the estimation formula.
{"title":"Automatic Estimation of Human Weight From Body Silhouette Using Multiple Linear Regression","authors":"Hurriyatul Fitriyah, Gembong Edhi Setyawan","doi":"10.1109/EECSI.2018.8752763","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752763","url":null,"abstract":"Estimating weight based on 2D image is advantageous especially for contactless and rapid measurement. Several researches used additional thermal camera or Kinect camera, required subjects to do front and side pose and manually extract body measures. This research propose an algorithm to estimate body weight automatically using 2D visual image where subject only do front pose. This research studied 4 features of body measures which are: (F1) height, and width of (F2) shoulder, (F3) abdomen/waist plus arm, (F4) feet. Each feature was simply subtracted based on body proportion where normal body has 8 equal segments. Shoulder is in 2nd segment, abdomen/waist is in 4th segment and feet is in the last segment. Multiple Linear Regression is used to determine weight estimation formula of all combination of 4 features, 15 in total. The highest significance R2 (0.80) and RMSE 2.68 Kg is given when using all 4 features in the estimation formula.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"53 1","pages":"749-752"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73632471","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}
The information system is a set tools to present information that has been managed well in order to make it easy and useful for its users. One indicator of the successful implementation of information system is how the end-user satisfaction. User satisfaction can be measured using user satisfaction methods. This study aims to develop a measurement framework to measure the user satisfaction of IT services. The measurement framework will be developed using 3 (three) basic theories such as Servqual by Parasuraman, Webqual by Barnes and Vidgen, and Information System Succes Model (ISSM) by DeLone and McLean. The model will be applied to a case study that an IT Service called Sistem Informasi Terintegrasi (SISTER) of the Jember University. This measurements using 100 respondents are students as SISTER’s users and will be tested using t testing and GAP analysis. Based on the measurement results, the variable service quality has no significant influence on user satisfaction, and another variable is website quality has a significant influence on user satisfaction. Based on GAP analysis, it’s found that the average gap value for service quality variable is -1.12, website quality is -1.00, and user satisfaction is -1.00. It means, the service quality that represents the tangible components, reliability, responsiveness, assurance, and emphaty of SISTER’s provider according the students perceptions are still not good. In the future, SISTER’s provider need to improve the quality of measurement items of indicators of reliability, responsiveness, assurance, and emphaty if they want to increase the user satisfaction of SISTER.
信息系统是一套工具，用于呈现管理良好的信息，以使其对用户方便和有用。信息系统成功实施的一个指标是最终用户满意度如何。用户满意度可以使用用户满意度方法来测量。本研究旨在建立资讯科技服务使用者满意度的测量框架。测量框架将使用3个基本理论，如Parasuraman的Servqual, Barnes和Vidgen的Webqual，以及DeLone和McLean的信息系统成功模型(ISSM)来开发。该模型将应用于Jember大学的一个名为system Informasi Terintegrasi (SISTER)的IT服务的案例研究。该测量使用100名受访者是学生作为SISTER的用户，并将使用t检验和GAP分析进行测试。从测量结果来看，变量服务质量对用户满意度没有显著影响，另一个变量网站质量对用户满意度有显著影响。通过GAP分析发现，服务质量变量的平均差距值为-1.12，网站质量为-1.00，用户满意度为-1.00。这意味着，在学生的感知中，SISTER的提供者所代表的有形组成部分、可靠性、响应性、保证性和强调性的服务质量仍然不好。在未来，SISTER的提供者如果想要提高SISTER的用户满意度，需要改进可靠性、响应性、保证性和强调性指标的测量项目的质量。
{"title":"A Measurement Framework for Analyze The Influence of Service Quality and Website Quality on User Satisfaction (Case Study: An IT Service in Jember University)","authors":"Beny Prasetyo, Fahrobby Adnan, Shinta Amalia Kusuma Wardhani","doi":"10.1109/EECSI.2018.8752845","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752845","url":null,"abstract":"The information system is a set tools to present information that has been managed well in order to make it easy and useful for its users. One indicator of the successful implementation of information system is how the end-user satisfaction. User satisfaction can be measured using user satisfaction methods. This study aims to develop a measurement framework to measure the user satisfaction of IT services. The measurement framework will be developed using 3 (three) basic theories such as Servqual by Parasuraman, Webqual by Barnes and Vidgen, and Information System Succes Model (ISSM) by DeLone and McLean. The model will be applied to a case study that an IT Service called Sistem Informasi Terintegrasi (SISTER) of the Jember University. This measurements using 100 respondents are students as SISTER’s users and will be tested using t testing and GAP analysis. Based on the measurement results, the variable service quality has no significant influence on user satisfaction, and another variable is website quality has a significant influence on user satisfaction. Based on GAP analysis, it’s found that the average gap value for service quality variable is -1.12, website quality is -1.00, and user satisfaction is -1.00. It means, the service quality that represents the tangible components, reliability, responsiveness, assurance, and emphaty of SISTER’s provider according the students perceptions are still not good. In the future, SISTER’s provider need to improve the quality of measurement items of indicators of reliability, responsiveness, assurance, and emphaty if they want to increase the user satisfaction of SISTER.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"1 1","pages":"56-61"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73714930","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752921
Feldiansyah Bakri Nasution, Nor Erne Nazira Bazin
In this paper, the main output of e-government is designed to assist a policymaker to create a comprehensive public policy. The policy is developed by studying the political and social issues in holistic way. System Dynamics based on Big Data from e-government infrastructure is suggested as the method for obtaining a comprehensive solution. The solution is selected from some possible scenarios by running simulation on the model of System Dynamics. The policymaker uses this solution as an input for public policymaking. Unfortunately, no E-Government Maturity Model (EMM) has given attention to incorporate Big Data and System Dynamics for Public Policymaking. In this case, a new EMM is proposed. It consists of several stages. Each stage is identified by the range of intensity or level of several criteria or indicators. Some criteria or indicators are proposed by considering technical and non-technical aspect, such as Leadership / Policy, IT Infrastructure, Information Processing (Application), Human Resources and Organization Culture. At the end of this paper, the survey is conducted to identify the current level or stage of EMM of one of government institution in Indonesia. (Abstract)
{"title":"E-Government Maturity Model to Support System Dynamics in Public Policymaking","authors":"Feldiansyah Bakri Nasution, Nor Erne Nazira Bazin","doi":"10.1109/EECSI.2018.8752921","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752921","url":null,"abstract":"In this paper, the main output of e-government is designed to assist a policymaker to create a comprehensive public policy. The policy is developed by studying the political and social issues in holistic way. System Dynamics based on Big Data from e-government infrastructure is suggested as the method for obtaining a comprehensive solution. The solution is selected from some possible scenarios by running simulation on the model of System Dynamics. The policymaker uses this solution as an input for public policymaking. Unfortunately, no E-Government Maturity Model (EMM) has given attention to incorporate Big Data and System Dynamics for Public Policymaking. In this case, a new EMM is proposed. It consists of several stages. Each stage is identified by the range of intensity or level of several criteria or indicators. Some criteria or indicators are proposed by considering technical and non-technical aspect, such as Leadership / Policy, IT Infrastructure, Information Processing (Application), Human Resources and Organization Culture. At the end of this paper, the survey is conducted to identify the current level or stage of EMM of one of government institution in Indonesia. (Abstract)","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"45 1","pages":"464-471"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80994663","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752790
Michael Stevano Sinurat, U. Khayam
This study discusses the measurement of Partial Discharge (PD) in air insulation. Partial Discharge Measurement is very important to know the condition of electrical equipment. The cause of partial discharge is not only old equipment, but also from set-up errors and insulation problems. In this research partial discharge measurement was performed by using electrical methods. Electrical method use RC Detector. The modeling of partial discharge was done by using needle-plane electrode distant 1 cm in air insulation. Partial discharge measurement parameters include the measurement of Background Noise (BGN), Partial Discharge Inception Voltage (PDIV) and PD Waveform. The Partial Discharge measurement result show that Vpp of BGN ON is higher than Vpp of BGN OFF. The negative PDIV signal first appeared for the RC Detector at a voltage 3.55 KV and Positive PDIV at 4.01 KV. Negative and positive PD waveform for RC Detector at 5 KV, 5.5 KV, 6 KV, 6.5 KV and 7 KV respectively, it has been found that the fall time is greater than the rise time, and peak to peak voltage (Vpp) will be greater when the applied voltage is greater.
{"title":"Analysis of Waveform of Partial Discharge in Air Insulation Measured by RC Detector","authors":"Michael Stevano Sinurat, U. Khayam","doi":"10.1109/EECSI.2018.8752790","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752790","url":null,"abstract":"This study discusses the measurement of Partial Discharge (PD) in air insulation. Partial Discharge Measurement is very important to know the condition of electrical equipment. The cause of partial discharge is not only old equipment, but also from set-up errors and insulation problems. In this research partial discharge measurement was performed by using electrical methods. Electrical method use RC Detector. The modeling of partial discharge was done by using needle-plane electrode distant 1 cm in air insulation. Partial discharge measurement parameters include the measurement of Background Noise (BGN), Partial Discharge Inception Voltage (PDIV) and PD Waveform. The Partial Discharge measurement result show that Vpp of BGN ON is higher than Vpp of BGN OFF. The negative PDIV signal first appeared for the RC Detector at a voltage 3.55 KV and Positive PDIV at 4.01 KV. Negative and positive PD waveform for RC Detector at 5 KV, 5.5 KV, 6 KV, 6.5 KV and 7 KV respectively, it has been found that the fall time is greater than the rise time, and peak to peak voltage (Vpp) will be greater when the applied voltage is greater.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"39 1","pages":"367-372"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82011247","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752918
Amalia C. Nur’aidha, S. Maryanto, D. Santoso
Micro Electro Mechanical System (MEMS) accelerometer is commonly used as acceleration-based vibration sensor. The MEMS accelerometer is small device, simple in the implementation design, and relatively inexpensive. But in some fields of application, due to low frequency operation and also small magnitude of the measured signal, for example in seismology, velocity-based vibration sensor is usually more desirable than acceleration-based sensor. In this research, a velocity-based vibration sensor has been developed using MEMS Accelerometer device e.g. MMA7361L. The acceleration-based vibration signal from the MMA7361L is converted into a velocity-based vibration signal by using an integrator circuit module. This module is assembled by using a band-pass filter and an integral-amplifier. The laboratory test shows that the developed sensor system could detect both low and high-frequency vibration signals in velocity-based with good result. The sensor system has a frequency range of 0.02Hz to 148Hz. It is wider frequency than the geophone (seismic sensor), thus the velocity-based MEMS sensor system has capability for geophone replacement.
{"title":"Implementation of MEMS Accelerometer for Velocity-based Seismic Sensor","authors":"Amalia C. Nur’aidha, S. Maryanto, D. Santoso","doi":"10.1109/EECSI.2018.8752918","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752918","url":null,"abstract":"Micro Electro Mechanical System (MEMS) accelerometer is commonly used as acceleration-based vibration sensor. The MEMS accelerometer is small device, simple in the implementation design, and relatively inexpensive. But in some fields of application, due to low frequency operation and also small magnitude of the measured signal, for example in seismology, velocity-based vibration sensor is usually more desirable than acceleration-based sensor. In this research, a velocity-based vibration sensor has been developed using MEMS Accelerometer device e.g. MMA7361L. The acceleration-based vibration signal from the MMA7361L is converted into a velocity-based vibration signal by using an integrator circuit module. This module is assembled by using a band-pass filter and an integral-amplifier. The laboratory test shows that the developed sensor system could detect both low and high-frequency vibration signals in velocity-based with good result. The sensor system has a frequency range of 0.02Hz to 148Hz. It is wider frequency than the geophone (seismic sensor), thus the velocity-based MEMS sensor system has capability for geophone replacement.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"21 1","pages":"657-662"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82129771","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752746
L. Syafa'ah, Lailatul Fauziyah, Zulfatman Has
This study contains the robust and accurate positioning control design for solar panel system consisting of elevation and azimuth axis tracker. The ultimate objective of the study is to ensure the solar panel move accurately to follow its tracking reference against mechanical load and other disturbances. The tracking reference was the images of actual sun position. Image processing result as the initial reference and high precision encoder as the controller feedback path were intended to obtain the accurate position of hardware response. Sliding Mode Controller (SMC) with Proportional Integral Derivative (PID) Sliding Surface was employed as control technique that guarantee the solar panel system robust against disturbances or load variation. The proposed method was evaluated through software simulation and hardware validation. The software for the simulation and validation was LabVIEW. While the software for image processing was Vision Assistant. From hardware validation, accuracy of the solar panel system to track the sun position image for elevation and azimuth were 2.622% (0.03007˚) and 0.244% (0.00893˚), respectively. These results indicate that the solar panel system was available to move accurately to track the sun position both in azimuth and elevation axis.
{"title":"Robust and Accurate Positioning Control of Solar Panel System Tracking based Sun Position Image","authors":"L. Syafa'ah, Lailatul Fauziyah, Zulfatman Has","doi":"10.1109/EECSI.2018.8752746","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752746","url":null,"abstract":"This study contains the robust and accurate positioning control design for solar panel system consisting of elevation and azimuth axis tracker. The ultimate objective of the study is to ensure the solar panel move accurately to follow its tracking reference against mechanical load and other disturbances. The tracking reference was the images of actual sun position. Image processing result as the initial reference and high precision encoder as the controller feedback path were intended to obtain the accurate position of hardware response. Sliding Mode Controller (SMC) with Proportional Integral Derivative (PID) Sliding Surface was employed as control technique that guarantee the solar panel system robust against disturbances or load variation. The proposed method was evaluated through software simulation and hardware validation. The software for the simulation and validation was LabVIEW. While the software for image processing was Vision Assistant. From hardware validation, accuracy of the solar panel system to track the sun position image for elevation and azimuth were 2.622% (0.03007˚) and 0.244% (0.00893˚), respectively. These results indicate that the solar panel system was available to move accurately to track the sun position both in azimuth and elevation axis.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"2014 1","pages":"324-329"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86815232","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752857
B. M. Mulyo, D. H. Widyantoro
Lots of research has been done on the domain of Sentiment Analysis, for example, research that conducted by Bing Liu's (2012) [1]. Other research conducted in a SemEval competition, the domain of sentiment analysis research has been developed further up to the aspect or commonly called Aspect Based Sentiment Analysis (ABSA) [2]. The domain problem of Aspect Based Sentiment Analysis (ABSA) from SemEval is quite diverse, all of those problems arise mostly from the real data provided. Some existing problems include Implicit, Multi-label, Out Of Vocabulary (OOV), Expression extraction, and the detection of aspects and polarities. This research only focuses on classification aspect and classification of sentiment. This study uses an existing method of Convolution Neural Network (CNN) method, which was introduced again by Alex K. The study by Alex K reduces the error rate by 15%, compared in the previous year the decrease was only 5%. This research would like to propose CNN methods that have been optimized, and use Threshold (CNN-T) to select the best data in training data. This method can produce more than one aspect using one data test. The average result of this experiment using CNN-T got better F-Measure compared to CNN and 3 classic Machine Learning method, i.e. SVM, Naive Bayes, and KNN. The overall F1 score of CNN-T is 0.71, which is greater than the other comparable methods.
{"title":"Aspect-Based Sentiment Analysis Approach with CNN","authors":"B. M. Mulyo, D. H. Widyantoro","doi":"10.1109/EECSI.2018.8752857","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752857","url":null,"abstract":"Lots of research has been done on the domain of Sentiment Analysis, for example, research that conducted by Bing Liu's (2012) [1]. Other research conducted in a SemEval competition, the domain of sentiment analysis research has been developed further up to the aspect or commonly called Aspect Based Sentiment Analysis (ABSA) [2]. The domain problem of Aspect Based Sentiment Analysis (ABSA) from SemEval is quite diverse, all of those problems arise mostly from the real data provided. Some existing problems include Implicit, Multi-label, Out Of Vocabulary (OOV), Expression extraction, and the detection of aspects and polarities. This research only focuses on classification aspect and classification of sentiment. This study uses an existing method of Convolution Neural Network (CNN) method, which was introduced again by Alex K. The study by Alex K reduces the error rate by 15%, compared in the previous year the decrease was only 5%. This research would like to propose CNN methods that have been optimized, and use Threshold (CNN-T) to select the best data in training data. This method can produce more than one aspect using one data test. The average result of this experiment using CNN-T got better F-Measure compared to CNN and 3 classic Machine Learning method, i.e. SVM, Naive Bayes, and KNN. The overall F1 score of CNN-T is 0.71, which is greater than the other comparable methods.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"2 1","pages":"142-147"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86036291","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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