Pub Date : 2020-02-01DOI: 10.1109/icosta48221.2020.9079248
{"title":"ICoSTA 2020 Cover Page","authors":"","doi":"10.1109/icosta48221.2020.9079248","DOIUrl":"https://doi.org/10.1109/icosta48221.2020.9079248","url":null,"abstract":"","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121211088","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570614056
Z. Abidin, D. H. Widyantoro, S. Akbar
Technological advances have resulted in rapid growth in personal activity data documentation. Chronological activity data flowing can narrate a story. Writing a story needs the means to visualize interactions to know the relationships between characters. This article explores time-oriented data visualization techniques. Exploration aims to investigate visualizations that might be used to narrate activities about interpersonal interactions. We map data visualizations based on completeness of story elements and shape flexibility. Based on the analysis of visualization techniques, we are looking for a flow visualization technique from events that can describe the event in detail.
{"title":"A Survey on Visualization Techniques to Narrate Interpersonal Interactions between Sportsmen","authors":"Z. Abidin, D. H. Widyantoro, S. Akbar","doi":"10.1109/ICoSTA48221.2020.1570614056","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570614056","url":null,"abstract":"Technological advances have resulted in rapid growth in personal activity data documentation. Chronological activity data flowing can narrate a story. Writing a story needs the means to visualize interactions to know the relationships between characters. This article explores time-oriented data visualization techniques. Exploration aims to investigate visualizations that might be used to narrate activities about interpersonal interactions. We map data visualizations based on completeness of story elements and shape flexibility. Based on the analysis of visualization techniques, we are looking for a flow visualization technique from events that can describe the event in detail.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123009628","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570614105
K. Priandana, Iqbal Abiyoga, Aprilian Nur Wakhid Daini, M. Hardhienata
One of the problems in developing a neural network-based automatic control system is data accuracy. This study aims to improve the accuracy of the training data utilized in a backpropagation neural network-based controller system under the direct inverse control scheme. One of the main strategies in improving the data accuracy was by recalculating the sampling time to accommodate the delay time of GPS signals. After obtaining accurate training data, backpropagation training was then carried out with several variations in the number of neurons to get the best neural network configuration. The simulation results showed that the best control performance was obtained with 13 input neurons, 10 hidden neurons and 2 output neurons with normalized training Mean Square Error (MSE) of 1.22 x 10-2. This neural network controller was then implemented to a developed wheeled robot, and the trajectory generated by the robot was compared to a certain test data trajectory. The experiment proved that the wheeled robot is able to follow the desired test trajectory with an acceptable normalized MSE value of 0.164. This result indicates that a backpropagation neural network-based control system can be implemented in a wheeled robot with sufficient and accurate training data.
{"title":"Improvement of Data Accuracy on Backpropagation Neural Network-based Automatic Control System for Wheeled Robot","authors":"K. Priandana, Iqbal Abiyoga, Aprilian Nur Wakhid Daini, M. Hardhienata","doi":"10.1109/ICoSTA48221.2020.1570614105","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570614105","url":null,"abstract":"One of the problems in developing a neural network-based automatic control system is data accuracy. This study aims to improve the accuracy of the training data utilized in a backpropagation neural network-based controller system under the direct inverse control scheme. One of the main strategies in improving the data accuracy was by recalculating the sampling time to accommodate the delay time of GPS signals. After obtaining accurate training data, backpropagation training was then carried out with several variations in the number of neurons to get the best neural network configuration. The simulation results showed that the best control performance was obtained with 13 input neurons, 10 hidden neurons and 2 output neurons with normalized training Mean Square Error (MSE) of 1.22 x 10-2. This neural network controller was then implemented to a developed wheeled robot, and the trajectory generated by the robot was compared to a certain test data trajectory. The experiment proved that the wheeled robot is able to follow the desired test trajectory with an acceptable normalized MSE value of 0.164. This result indicates that a backpropagation neural network-based control system can be implemented in a wheeled robot with sufficient and accurate training data.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128961926","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570615346
Topan Try Harmanda, K. Priandana, M. Hardhienata
This paper utilizes indoor localization techniques for E-Puck2 robots to assist the robot in locating their position in the predefined environment. The localization technique is crucial in many ways, one of which is in a multi-robot system to get accurate robot positions. In this paper, the Trilateration algorithm is utilized to locate E-Puck2 robot by using the value of Received Signal Strength Indication (RSSI) from Bluetooth Low Energy (BLE) beacons to indicate the distance between the robot and the beacons. Each beacon is placed in a certain position in the test environment and the RSSI value is calculated from the BLE signal. The RSSI value and position of the beacon are then sent to the server using a serial port to be processed by Trilateration algorithm so that the position of the robot can be obtained. The test is done in 2 scenarios, namely scenario 1, which uses three beacons and scenario 2, which uses four beacons. The average error in scenario 1 is 48.56±14.52 cm on the x-axis and 79.80±28.83 cm on the y-axis. Meanwhile, the average error in scenario 2 is 76.70±26.24 cm on the x-axis and 63.52±20.86 cm on the y-axis. These errors are mainly caused by uns table RSSI values, which depend on the environment and the robot’s heading. Although the produced error is quite high, the test results indicate that the localization technique using Trilateration algorithm can be implemented in both scenarios.
本文利用E-Puck2机器人的室内定位技术，帮助机器人在预定义的环境中定位自己的位置。定位技术在许多方面都是至关重要的，其中之一就是在多机器人系统中获得准确的机器人位置。本文采用Trilateration算法，利用蓝牙低功耗(Bluetooth Low Energy, BLE)信标的接收信号强度指示(Received Signal Strength Indication, RSSI)值来表示机器人与信标之间的距离，对E-Puck2机器人进行定位。将每个信标放置在测试环境中的一定位置，根据BLE信号计算RSSI值。然后将信标的RSSI值和位置通过串口发送到服务器，通过Trilateration算法进行处理，从而获得机器人的位置。测试在两个场景中完成，即场景1使用三个信标，场景2使用四个信标。场景1的x轴平均误差为48.56±14.52 cm, y轴平均误差为79.80±28.83 cm。同时，场景2的x轴平均误差为76.70±26.24 cm, y轴平均误差为63.52±20.86 cm。这些误差主要是由不确定的RSSI值引起的，RSSI值取决于环境和机器人的航向。虽然产生的误差相当大，但测试结果表明，使用Trilateration算法的定位技术可以在这两种情况下实现。
{"title":"Development of Localization Technique using Trilateration Algorithm for E-Puck2 Robot","authors":"Topan Try Harmanda, K. Priandana, M. Hardhienata","doi":"10.1109/ICoSTA48221.2020.1570615346","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570615346","url":null,"abstract":"This paper utilizes indoor localization techniques for E-Puck2 robots to assist the robot in locating their position in the predefined environment. The localization technique is crucial in many ways, one of which is in a multi-robot system to get accurate robot positions. In this paper, the Trilateration algorithm is utilized to locate E-Puck2 robot by using the value of Received Signal Strength Indication (RSSI) from Bluetooth Low Energy (BLE) beacons to indicate the distance between the robot and the beacons. Each beacon is placed in a certain position in the test environment and the RSSI value is calculated from the BLE signal. The RSSI value and position of the beacon are then sent to the server using a serial port to be processed by Trilateration algorithm so that the position of the robot can be obtained. The test is done in 2 scenarios, namely scenario 1, which uses three beacons and scenario 2, which uses four beacons. The average error in scenario 1 is 48.56±14.52 cm on the x-axis and 79.80±28.83 cm on the y-axis. Meanwhile, the average error in scenario 2 is 76.70±26.24 cm on the x-axis and 63.52±20.86 cm on the y-axis. These errors are mainly caused by uns table RSSI values, which depend on the environment and the robot’s heading. Although the produced error is quite high, the test results indicate that the localization technique using Trilateration algorithm can be implemented in both scenarios.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131532691","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570611033
N. N. Qomariyah, A. Priandoyo
Industry 4.0 as a concept and process is growing rapidly. In Indonesia there are many companies that are aware of the need to prepare the company in adapting Industry 4.0 trends into their business process. However when implementing Industry 4.0 capabilities into the company, there are many challenges that are difficult to face. This study proposed a new methodology to align between Industry 4.0 capabilities and strategic development process in the company. This study combines two different framework which are TOGAF Architecture Development Method (TOGAF ADM) and Indonesia Industry 4.0 Readiness Index (INDI4.0) to develop a new strategic alignment framework that can help company to have an Industry 4.0 capabilities while at the same time still aligned with the company priorities.
{"title":"Industry 4.0 strategic alignment framework: Multilevel perspective of digital transition in Indonesia","authors":"N. N. Qomariyah, A. Priandoyo","doi":"10.1109/ICoSTA48221.2020.1570611033","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570611033","url":null,"abstract":"Industry 4.0 as a concept and process is growing rapidly. In Indonesia there are many companies that are aware of the need to prepare the company in adapting Industry 4.0 trends into their business process. However when implementing Industry 4.0 capabilities into the company, there are many challenges that are difficult to face. This study proposed a new methodology to align between Industry 4.0 capabilities and strategic development process in the company. This study combines two different framework which are TOGAF Architecture Development Method (TOGAF ADM) and Indonesia Industry 4.0 Readiness Index (INDI4.0) to develop a new strategic alignment framework that can help company to have an Industry 4.0 capabilities while at the same time still aligned with the company priorities.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121941290","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570610836
Rania Rizki Arinta, Dominikus Boli Watomakin, S. Suyoto
The public awareness in Indonesia for disposing of garbage in its place is still low. Disposing of the garbage, not in its position, could be seen in tourist attractions in Indonesia, especially in Yogyakarta. As a result of disposing of the waste is not in its place, can damage the sustainability of tourist attractions. The community still cannot separate organic and inorganic, which has been provided by the area of disposal. If the waste is not being recycled, it will make the decomposition process more difficult. To make it easier to sort out and sensitize the community to be more disciplined, we renew the garbage bin using IoT Environment. The dustbin is integrated with a smartphone to find out information about the capacity of the garbage using an ultrasonic sensor. The dustbin is combined with a Wi-Fi module. So will allow the sensor to send the data through the Wi-Fi module via smartphone. The location of the nearest garbage uses the steepest hill-climbing algorithm integrated with a GPS Module. The dustbin is equipped with a security system to anticipate theft. The proposed Smart Waste Management can help janitors monitor excessive waste and accessible in recycling by saving 30 minutes. Then for the garbage collection process, the time taken is 50% faster than the schedule for taking out garbage janitors before using the IoT system. Also, it can foster public awareness to be able to dispose of garbage in its place.
{"title":"Improve Smart Waste Management to Preserve Tourist Attractions Yogyakarta in IoT Environment","authors":"Rania Rizki Arinta, Dominikus Boli Watomakin, S. Suyoto","doi":"10.1109/ICoSTA48221.2020.1570610836","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570610836","url":null,"abstract":"The public awareness in Indonesia for disposing of garbage in its place is still low. Disposing of the garbage, not in its position, could be seen in tourist attractions in Indonesia, especially in Yogyakarta. As a result of disposing of the waste is not in its place, can damage the sustainability of tourist attractions. The community still cannot separate organic and inorganic, which has been provided by the area of disposal. If the waste is not being recycled, it will make the decomposition process more difficult. To make it easier to sort out and sensitize the community to be more disciplined, we renew the garbage bin using IoT Environment. The dustbin is integrated with a smartphone to find out information about the capacity of the garbage using an ultrasonic sensor. The dustbin is combined with a Wi-Fi module. So will allow the sensor to send the data through the Wi-Fi module via smartphone. The location of the nearest garbage uses the steepest hill-climbing algorithm integrated with a GPS Module. The dustbin is equipped with a security system to anticipate theft. The proposed Smart Waste Management can help janitors monitor excessive waste and accessible in recycling by saving 30 minutes. Then for the garbage collection process, the time taken is 50% faster than the schedule for taking out garbage janitors before using the IoT system. Also, it can foster public awareness to be able to dispose of garbage in its place.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117079663","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570614589
Sapto Nisworo, Deria Pravitasari, Lely Pukasari
In ideal conditions the electric power system has a sinusoidal current and voltage waveform. In fact, voltage and current distortion occur from non-linear load. Trends in the use of electronic component-based equipment for energy efficiency contribute to the loss of the transformer. Non linear load which is fed by the transformer will continuously increase the temperature to be an indication of reducing the quality of the transformer insulation oil. This results in a loss in the performance of the transformer. Non-linear loads can generate harmonic currents caused by rectifier inputs that tend to draw currents in the form of non-sinusoidal and non-continuous. The paper will discuss the effect of harmonics on the deterioration in the quality of transformer insulation materials. Insulating oil is an important part of the transformer given its function as a cooler and insulation, so the quality of the insulation material must be maintained so that the breakdown voltage is always at the permitted limit. Calculation of transformer loss due to harmonics which causes isolation failure will be carried out. The calculation results will be discussed later efforts to reduce transformer losses due to harmonics are expected to be the solution used to reduce the failure rate of transformer isolation.
{"title":"The Effect of Harmonics on Purification Scheduling of Transformer Oil to Restrain The Degradation Rate","authors":"Sapto Nisworo, Deria Pravitasari, Lely Pukasari","doi":"10.1109/ICoSTA48221.2020.1570614589","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570614589","url":null,"abstract":"In ideal conditions the electric power system has a sinusoidal current and voltage waveform. In fact, voltage and current distortion occur from non-linear load. Trends in the use of electronic component-based equipment for energy efficiency contribute to the loss of the transformer. Non linear load which is fed by the transformer will continuously increase the temperature to be an indication of reducing the quality of the transformer insulation oil. This results in a loss in the performance of the transformer. Non-linear loads can generate harmonic currents caused by rectifier inputs that tend to draw currents in the form of non-sinusoidal and non-continuous. The paper will discuss the effect of harmonics on the deterioration in the quality of transformer insulation materials. Insulating oil is an important part of the transformer given its function as a cooler and insulation, so the quality of the insulation material must be maintained so that the breakdown voltage is always at the permitted limit. Calculation of transformer loss due to harmonics which causes isolation failure will be carried out. The calculation results will be discussed later efforts to reduce transformer losses due to harmonics are expected to be the solution used to reduce the failure rate of transformer isolation.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117219221","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}
Iris contains some information about the human body and organ condition. Iridology is a scientific study of the iris structure to get some information that represents the condition of the various organs by examining the tissue strengths and weaknesses in the iris. With the rapid development of image processing, iridology has become more popular and reliable. In recent years, many systems that adopt iridology have been developed to diagnose a disease by analyzing a certain part of the iris or so-called Region of Interest (ROI). Typically, iris recognition systems consist of three main functions, namely image pre-processing, feature extraction, and classification. This paper shows all the regions that have been studied and the accuracy of their iris recognition system.
{"title":"A Review of Iris Recognition System ROI and Accuracy","authors":"Robby Alphonsus Halim, Andi Wahju Rahardjo Emanuel","doi":"10.1109/ICoSTA48221.2020.1570615087","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570615087","url":null,"abstract":"Iris contains some information about the human body and organ condition. Iridology is a scientific study of the iris structure to get some information that represents the condition of the various organs by examining the tissue strengths and weaknesses in the iris. With the rapid development of image processing, iridology has become more popular and reliable. In recent years, many systems that adopt iridology have been developed to diagnose a disease by analyzing a certain part of the iris or so-called Region of Interest (ROI). Typically, iris recognition systems consist of three main functions, namely image pre-processing, feature extraction, and classification. This paper shows all the regions that have been studied and the accuracy of their iris recognition system.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128211868","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570607250
L. Gumilar, A. Afandi, Wahyu Sapto Nugroho, Mokhammad Sholeh
Several factors that affect the cost of producing electrical energy in electrical power systems such as changes in the price of fuel for electricity generation (power plant generator), and changes in the load curve. The price of generator fuel varies depending on the type. The power plant with coal fuel is cheap and can be used to serve basic and medium loads all day. While the power plant with gas or oil fuel is very expensive and usually used to serve peak loads with a duration of 5 hours. The higher the peak load on the daily load curve, the greater the cost of producing electrical energy in the power system. Peak load generally occurs at night where almost everyone uses electrical equipment or during working hours. In Indonesia, especially on the Java and Bali islands, the peak load occurs from 17:00 to 22:00. This study uses the Java Bali 500 kV electrical power system. The load factor is a comparison between the average load for certain time intervals with the highest peak load at the same time interval. For example, 1 day, 1 week or 1 month. While the average load for a certain interval is the amount of electricity production (kWh) in that interval divided by the number of hours from that interval. The greater the load factor or close to 1, the cost of producing electricity will be cheaper or can be interpreted to be more economical. Making load factor approaching 1 will be used pump storage in the electric power system. The storage pump will act as a generator at peak load, thereby reducing the height of the peak load on the load curve. While at the baseload, pump storage will act as a motor load which serves to pump water from the lower reservoir to the upper reservoir, so that the baseload height will increase. Using this pump storage role will make the daily load curve flatter. The results of this study, in scenario 1 with load factor 0.89507, the cost of producing electricity for 24 hours is $ 20,251,047.78. While in scenario 2 with a load factor of 0.9672, the cost of producing electricity for 24 hours is $ 19,618,067.33. Of the two production costs obtained savings or difference is $ 632,980.45.
{"title":"Load Factor Improvement on Daily Load Curve Using Pump Storage to SavingProduction Cost","authors":"L. Gumilar, A. Afandi, Wahyu Sapto Nugroho, Mokhammad Sholeh","doi":"10.1109/ICoSTA48221.2020.1570607250","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570607250","url":null,"abstract":"Several factors that affect the cost of producing electrical energy in electrical power systems such as changes in the price of fuel for electricity generation (power plant generator), and changes in the load curve. The price of generator fuel varies depending on the type. The power plant with coal fuel is cheap and can be used to serve basic and medium loads all day. While the power plant with gas or oil fuel is very expensive and usually used to serve peak loads with a duration of 5 hours. The higher the peak load on the daily load curve, the greater the cost of producing electrical energy in the power system. Peak load generally occurs at night where almost everyone uses electrical equipment or during working hours. In Indonesia, especially on the Java and Bali islands, the peak load occurs from 17:00 to 22:00. This study uses the Java Bali 500 kV electrical power system. The load factor is a comparison between the average load for certain time intervals with the highest peak load at the same time interval. For example, 1 day, 1 week or 1 month. While the average load for a certain interval is the amount of electricity production (kWh) in that interval divided by the number of hours from that interval. The greater the load factor or close to 1, the cost of producing electricity will be cheaper or can be interpreted to be more economical. Making load factor approaching 1 will be used pump storage in the electric power system. The storage pump will act as a generator at peak load, thereby reducing the height of the peak load on the load curve. While at the baseload, pump storage will act as a motor load which serves to pump water from the lower reservoir to the upper reservoir, so that the baseload height will increase. Using this pump storage role will make the daily load curve flatter. The results of this study, in scenario 1 with load factor 0.89507, the cost of producing electricity for 24 hours is $ 20,251,047.78. While in scenario 2 with a load factor of 0.9672, the cost of producing electricity for 24 hours is $ 19,618,067.33. Of the two production costs obtained savings or difference is $ 632,980.45.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132897586","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570615215
N. Sudira, Prapto Nugroho, S. Wibowo
Wireless communication systems require peripherals with low power consumption and ease in the process of receiving signals for efficiency purposes. The π/4-DQPSK modulation scheme has an effective demodulation concept because it does not require phase synchronization on the receiving system (non-coherent). This study aims to implement the π/4–DQPSK modulator in full-digital FPGA to increase power efficiency and noise resistance. The experimental hierarchy begins with the design of the modulator simulation on the Simulink Matlab then the next step is the implementation of the Altera Cyclone IV FPGA. Evaluation of the constellation symbol from simulation results and comparison of demodulation outcome with initial input pulses can represent that the π/4-DQPSK modulator architecture is optimal. The application of the π/4-DQPSK modulator on FPGA has produced binary output corresponding to the symbol constellation magnitude value and low BER (Bit Error Rate) performance in the signal-to-noise ratio range of -20dB to 10dB.
无线通信系统要求外设功耗低，接收信号过程容易，以提高效率。π/4-DQPSK调制方案具有有效的解调概念，因为它不需要在接收系统(非相干)上进行相位同步。本研究的目的是在全数字FPGA中实现π/ 4-DQPSK调制器，以提高功率效率和抗噪声能力。实验层次从在Simulink Matlab上设计调制器仿真开始，然后下一步是Altera Cyclone IV FPGA的实现。通过仿真结果对星座符号进行评价，并将解调结果与初始输入脉冲进行比较，表明π/4-DQPSK调制器结构是最优的。π/4-DQPSK调制器在FPGA上的应用，在-20dB ~ 10dB的信噪比范围内产生了与符号星座星等值对应的二进制输出和低误码率(BER)性能。
{"title":"Analysis and Design Implementation of Modulator π/4 – Differential Quadrature Phase Shift Keying Low Power Based on FPGA","authors":"N. Sudira, Prapto Nugroho, S. Wibowo","doi":"10.1109/ICoSTA48221.2020.1570615215","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570615215","url":null,"abstract":"Wireless communication systems require peripherals with low power consumption and ease in the process of receiving signals for efficiency purposes. The π/4-DQPSK modulation scheme has an effective demodulation concept because it does not require phase synchronization on the receiving system (non-coherent). This study aims to implement the π/4–DQPSK modulator in full-digital FPGA to increase power efficiency and noise resistance. The experimental hierarchy begins with the design of the modulator simulation on the Simulink Matlab then the next step is the implementation of the Altera Cyclone IV FPGA. Evaluation of the constellation symbol from simulation results and comparison of demodulation outcome with initial input pulses can represent that the π/4-DQPSK modulator architecture is optimal. The application of the π/4-DQPSK modulator on FPGA has produced binary output corresponding to the symbol constellation magnitude value and low BER (Bit Error Rate) performance in the signal-to-noise ratio range of -20dB to 10dB.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130938751","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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