{"title":"Feasibility study of ocean wave energy for wave power plant at Sibolga-Tapanuli Tengah","authors":"R. Dinzi, H. Hutagalung, F. Fahmi","doi":"10.1109/ICCEREC.2017.8226713","DOIUrl":"https://doi.org/10.1109/ICCEREC.2017.8226713","url":null,"abstract":"Ocean wave is one of the potential renewable energy sources that can prospectively be developed into Wave Power Plant. Our study aims to analyze the feasibility of sea wave power plant in the area Sibolga-Tapanuli Tengah which most of the area is ocean and directly adjacent to the Indian Ocean. Water Colum oscillating system (OWC) and Ocean Surface Wave (OSW) are both two methods of converting ocean wave energy into electrical energy. Based on our analysis, the waves with a height of 0.1 to 0.75 meters can generate electricity with minimum P-density = 11.26 Watt / m 2 and a maximum P-density = 213, 18 Watt / m2. Furthermore, we found the largest output from each unit was able to be raised by using the method of Ocean Surface Wave (OSW) with Pout = 464.31 Kilowatt (Tapered Channel system) and Pout = 128.8 Kilowatt (Power Buoy system). In other hands, by using oscillating Water Colum (OWC) method, it was found that Pout = 54.65 Kilowatts. This result emphasized that the physical condition of the coastal marine area of Sibolga are appropriate for Sea Wave Power Plant Power systems by applying Tapered Channel system for optimization.","PeriodicalId":328054,"journal":{"name":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128752629","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}
Sundayani, Dyan Franco Sinulingga, Fabiola Magdalena Prasetyawati, F. M. Palebangan, A. Suhendi, T. A. Ajiwiguna, I. P. Handayani, Indra Wahyuddin Fathonah
{"title":"PID temperature controlling of thermoelectric based cool box","authors":"Sundayani, Dyan Franco Sinulingga, Fabiola Magdalena Prasetyawati, F. M. Palebangan, A. Suhendi, T. A. Ajiwiguna, I. P. Handayani, Indra Wahyuddin Fathonah","doi":"10.1109/ICCEREC.2017.8226671","DOIUrl":"https://doi.org/10.1109/ICCEREC.2017.8226671","url":null,"abstract":"In this study, PID controller instrument design for controlling the input current to thermoelectric cooler (TEC). For cooling process, we used thermoelectric type of 12706 with active material of Bi2Te3. The instrument was tested by comparing the cooling process with and without PID control. Without PID control, the TEC modules cooled the temperature down to 11 “C within 6538 seconds. This temperature was obtained within 2060 seconds when PID control was applied. This finding showed that PID control could accelerate three times faster the cooling process. The best parameters for controlling were Kp =8.5, Ki =1.9 and Kd =0.4. In addition, we observed that two serial modules of TEC with current input of 2A could reach a set point of 11 °C. This result was better than a cooling process using three individual TEC modules in which each module was driven by 6A current. Our results showed that beside the number of TEC modules, the heat distribution also played important role in cooling process. Since two serial modules dissipated less power than three individual modules, the heat distribution became more effective and similar temperature could be achieve.","PeriodicalId":328054,"journal":{"name":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131022034","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}
{"title":"Interpolating redundant spatial data from SHUMOO boat survey due to the current directions of Anyar river","authors":"P. H. Gunawan, K. T. Suhari","doi":"10.1109/ICCEREC.2017.8226693","DOIUrl":"https://doi.org/10.1109/ICCEREC.2017.8226693","url":null,"abstract":"Mapping bottom under water or bathymetry is important and more challenging for researchers. Using machine to collect data is the fastest and safeties method. SHUMOO is a boat which is constructed in order to collect the bathymetry data by sounding the shallow area. In this research, the data is taken from a part of the Anyar river which is located at Malang regency, East Java, Indonesia. The length and width of domain of observation are 100 and 35 meters respectively. Unfortunately, the original data which is obtain from SHUMOO consist of several redundant and staking points of water depth. This is due to the current or stream direction of Anyar river. Therefore, this paper is devoted to overcome this stacking data by interpolating the water depth which has redundant spatial coordinate. Here, the average interpolation will be used. The result shows at particular area UTM coordinate (681301, 9114722) by interpolating bathymetry height which has redundant spatial coordinate, the height class 0.65–0.72 meters of contour mapping is wider than by original data. Meanwhile, the contour map of interpolation data shows the opposite for the height class 0.85–0.92 meters which is smaller than the original data.","PeriodicalId":328054,"journal":{"name":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125563478","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}
{"title":"Autonomous VTOL design in quadcopter using feedback linearization and fuzzy T-S","authors":"N. H. Chalidia, M. Nuh, E. Rusdhianto","doi":"10.1109/ICCEREC.2017.8226705","DOIUrl":"https://doi.org/10.1109/ICCEREC.2017.8226705","url":null,"abstract":"Quadcopter is an unmanned aerial vehicle that is frequently used to model flying robot. Its four propellers let quadcopter move in rotation and in translation. Both rotation and translation systems are unstable and mathematically nonlinear. These 2 motion systems could be controlled separately. In this paper, we propose an autonomous vertical take-off and landing (VTOL) quadcopter using two controllers; each for one motion system. In rotation, settling time is critical issue, so that input-state feedback linearization is used to regulate/stabilize quadcopter. In translation, tracking error must be near to zero. Fuzzy Takagi Sugeno is used to control quadcopter in translation. Fuzzy Takagi-Sugeno is a genuine way to handle nonlinear system by linear controller using its so-called parallel distributed compensation. The nonlinear model of quadcopter is linearized and controlled at some operating points; Thus, we have some linear models and some linear controllers. Then, fuzzy system is utilized to decide which controller to work. The linear controller used in this paper has H infinity performance to attenuate disturbance. All terms are formulated in the form of linear matrix inequality (LMI) to find the appropriate gain with ease. The algorithms have been simulated with the help of MATLAB. The results show that the proposed controllers are able to stabilize quadcopter in 0 degrees' position for roll, pitch, and yaw as well as to track the given reference signal. Bounded disturbance can be attenuated thanks to H infinity performance.","PeriodicalId":328054,"journal":{"name":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123672384","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}
{"title":"Computational acceleration of image inpainting Alternating-Direction Implicit (ADI) method using GPU CUDA","authors":"Mutaqin Akbar, Pranowo, Suyoto Magister","doi":"10.1109/ICCEREC.2017.8226691","DOIUrl":"https://doi.org/10.1109/ICCEREC.2017.8226691","url":null,"abstract":"This paper presents a computational acceleration of image inpainting using parallel processing based on Graphics Processing Unit (GPU) Compute Unified Device Architecture (CUDA). We use parabolic partial differential equation (PDE) called heat equation as the model equation. The heat equation is discretized numerically using Finite Difference method. Semi-algebraic equation that formed then solved by using Alternating-Direction Implicit (ADI) scheme. The numerical algorithm is implemented in GPU CUDA parallel computing to speed up the computational time. The computational process of the inpainting can be done using larger time-step. The computational time can be accelerated to 5.86 times faster using an image with 2736×1824 resolution.","PeriodicalId":328054,"journal":{"name":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126034012","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}
{"title":"Rehabilitation exercise monitoring device for knee osteoarthritis patients","authors":"Nur Amirah Ishak, M. M. Addi","doi":"10.1109/ICCEREC.2017.8226715","DOIUrl":"https://doi.org/10.1109/ICCEREC.2017.8226715","url":null,"abstract":"Osteoarthritis (OA) is a joint disease that causes disability and joint irritation. Knee OA is known to be one of the most common OA type that happen in patient. The safest treatment to reduce the pain is by having the rehabilitation exercises. Normally, patients of knee OA will undergo prescribed physical activity treatment in the hospital using sophisticated and expensive rehabilitation equipment with monitoring by specialist. Another alternative is to conduct the rehabilitation exercises at home. However, improper exercise movement may cause further injury to the patient when doing it at home. In this project a rehabilitation exercise monitoring device for knee OA is proposed. Two accelerometers are used to obtain the data of body motion from the thigh and shank. Arduino is used to process the signal obtain from the accelerometers for exercise classification and detection of incorrect exercise movement with the use LEDs as indicators. Subject conducted two types of exercise which include the Short Arc Exercise (SAE) and Straight Leg Raise (SLR) to test the detection accuracy of the system. The system was able to detect both SAE and SLR exercises with 100% accuracy. However, the system was only able to detect improper exercises movement for SAE (100%) but with a lower accuracy to detect for SLR exercise, showing the lowest accuracy for subject A when the hip joint external rotation movement was out of the allowable range and when knee is not fully extended. Lastly, the average angle for improper exercises movement was able to determine with some variation angle for each error label. By implementing the rehabilitation monitoring system, specialist are able to monitor (offline) the performance of their patient when conducting the rehabilitation activities at home and the patient will able to get feedback their exercise movement.","PeriodicalId":328054,"journal":{"name":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132321754","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}
{"title":"Quadrotor model with proportional derivative controller","authors":"H. A. Rozi, E. Susanto, Ig. Prasetya Dwibawa","doi":"10.1109/ICCEREC.2017.8226676","DOIUrl":"https://doi.org/10.1109/ICCEREC.2017.8226676","url":null,"abstract":"To design an automatic controller of a tracking system usually can be built by analyzing response output system. However in many cases especially in complex dynamics system for example quadrotor controller, it is not trivial to end this. Control design for quadrotor can be done by modeling the dynamics system. When dynamics system can be modeled close to real system characteristics, then accurate analysis and system modification will be obtained easily. The work proposed quaternion method to model the quadrotor attitude. The simulation shows the effectiveness method for proportional derivative controller design to the model.","PeriodicalId":328054,"journal":{"name":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128560316","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}
Dhipo Arsyandana Putra, S. M. Nasution, Fairuz Azmi
{"title":"Analysis of flight data recorder compression reliability for airplane on demand blackbox data transmission","authors":"Dhipo Arsyandana Putra, S. M. Nasution, Fairuz Azmi","doi":"10.1109/ICCEREC.2017.8226687","DOIUrl":"https://doi.org/10.1109/ICCEREC.2017.8226687","url":null,"abstract":"Currently, Blackbox records all important information that happens during the accident that is Flight Data Recorder (FDR) and Cockpit Voice Recorder (CVR). The data is for by applying a compression method to make both of them get into transmission with on demand. This way is probably to present the data without has to find the black box. It will make the investigator easier on the evacuation process. In this study, a program created is the conversion of data into binary, split and merge data and data compression. The compression results are based on the type and size of the FDR data. The algorithm is to make the data size smaller and the decompression process takes a long time compared to the compression process. The results of the analysis get the result that when the compression process is faster to 1295.33 second than FDR data recording process. and the time required decompression time longer to 3805.10 second. On the simulation FDR, from the process parsing, compression, decompression until merge all data needed time to 5008,1316 second.","PeriodicalId":328054,"journal":{"name":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114145354","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}
{"title":"Fuzzy logic based active power generation dispatching considering intermittent wind power plants output","authors":"Fatmawati Azis, A. Arief, M. B. Nappu","doi":"10.1109/ICCEREC.2017.8226689","DOIUrl":"https://doi.org/10.1109/ICCEREC.2017.8226689","url":null,"abstract":"Nowadays, renewable energy becomes a very interesting topic to be investigated for its continuity. In this research, type of renewable energy investigated is wind energy, which is a very promising technology to reduce the thermal power plants operating costs in the generation process, whether as a stand-alone, micro-grid or in an interconnected system. Nevertheless, the fluctuated wind energy (WE) will affect both the output of wind power plants (WPP) as well as the stability of the system. This paper presents a scheme for active power flow generation dispatching as a solution of the fluctuated WPP's output in an interconnected system in line with the fluctuated wind speed condition. The proposed active power generation scheme uses fuzzy logic controller (FLC). In this FLC, wind's speed assumptions are used as the input, whereas the outputs are the active power generated by the WPP and the thermal power plants (TPP). This FLC based active power generation provides guidelines for the system's operator for their daily power dispatching hence they can supply power continuously while maintaining system's stability.","PeriodicalId":328054,"journal":{"name":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127070229","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}
{"title":"Indonesia ancient temple classification using convolutional neural network","authors":"Kefin Pudi Danukusumo, Pranowo, Martinus Maslim","doi":"10.1109/ICCEREC.2017.8226709","DOIUrl":"https://doi.org/10.1109/ICCEREC.2017.8226709","url":null,"abstract":"This paper describes the use of convolutional neural network(CNN) method to classify various image and photo of Indonesia ancient temple. The method itself implements Deep Learning technique designed for Computer Vision task. The idea behind CNN is image pre-processing through a stack of convolution layers to create many patterns that can be easily recognized. The result shows that the learning model has an accuracy of 98,99% on the training set and accuracy of 85.57% on the test set. With GPU performance, the time used to train the model is 389.14 seconds.","PeriodicalId":328054,"journal":{"name":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130678530","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}