Pub Date : 2015-09-01DOI: 10.1109/ELECSYM.2015.7380848
Liwan Tadwini Abdullah, Entin Martiana Kusumaningtyas, Ali Ridho Barakbah
The book discusses the history of the Islamic inventors have been widely published, but the history books that have been known so far are textual-based so the search process for the aspect of the place and time aspects of historical events are sequential. Surely it makes the reader difficulties when trying to examine the history based on place and time-based historical events. This paper proposed new model to learning the history of Islam inventor during the Islamic civilization. This model using spatio-temporal to present Historical information which are displayed based on the time as year timeline and the location on map. This paper also provides a search feature to searching the highest similarity of historical information, using text-mining and clustering methods. This makes it easier for users to learning historical event. We compare result of our idea into several device and several keyword to searching history. The experimental result show the effectiveness of our idea to solve this learning. Tests on some users, showed that these applications can be used as a medium for teaching history of Islamic inventor during the Islamic civilization.
{"title":"Spatio-temporal history of Islamic inventors based on mobile","authors":"Liwan Tadwini Abdullah, Entin Martiana Kusumaningtyas, Ali Ridho Barakbah","doi":"10.1109/ELECSYM.2015.7380848","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380848","url":null,"abstract":"The book discusses the history of the Islamic inventors have been widely published, but the history books that have been known so far are textual-based so the search process for the aspect of the place and time aspects of historical events are sequential. Surely it makes the reader difficulties when trying to examine the history based on place and time-based historical events. This paper proposed new model to learning the history of Islam inventor during the Islamic civilization. This model using spatio-temporal to present Historical information which are displayed based on the time as year timeline and the location on map. This paper also provides a search feature to searching the highest similarity of historical information, using text-mining and clustering methods. This makes it easier for users to learning historical event. We compare result of our idea into several device and several keyword to searching history. The experimental result show the effectiveness of our idea to solve this learning. Tests on some users, showed that these applications can be used as a medium for teaching history of Islamic inventor during the Islamic civilization.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133738383","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 : 2015-09-01DOI: 10.1109/ELECSYM.2015.7380816
V. A. Wardhany, Muhammad Hendrick Kurnia, S. Sukaridhoto, Amang Sudarsono, D. Pramadihanto
The development of technology for supporting learning system at this time takes place very rapidly. Human Computer Interaction provides users that allows to control presentations in a natural way by their body gestures and voice commands. The authors propose a simple system that can be use to control presentation by using hand gestures and also by using Indonesian speech recognition. Our proposed system consist of gesture recognition with Kinect 3D skeletal data, and utilize Google Speech API to recognize Indonesian language as voice command. In this system we built applications to perform hand gestures and speech recognitions and utilize libraries to perform mouse and keyboard actions in presentation application. From the experiments, hand gestures application can process in realtime with the accuracy more than 90%, and for Indonesian language speech recognition gave accuracy almost 99% with average speed of recognition around 1 second.
{"title":"Smart presentation system using hand gestures and Indonesian speech command","authors":"V. A. Wardhany, Muhammad Hendrick Kurnia, S. Sukaridhoto, Amang Sudarsono, D. Pramadihanto","doi":"10.1109/ELECSYM.2015.7380816","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380816","url":null,"abstract":"The development of technology for supporting learning system at this time takes place very rapidly. Human Computer Interaction provides users that allows to control presentations in a natural way by their body gestures and voice commands. The authors propose a simple system that can be use to control presentation by using hand gestures and also by using Indonesian speech recognition. Our proposed system consist of gesture recognition with Kinect 3D skeletal data, and utilize Google Speech API to recognize Indonesian language as voice command. In this system we built applications to perform hand gestures and speech recognitions and utilize libraries to perform mouse and keyboard actions in presentation application. From the experiments, hand gestures application can process in realtime with the accuracy more than 90%, and for Indonesian language speech recognition gave accuracy almost 99% with average speed of recognition around 1 second.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129875105","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 : 2015-09-01DOI: 10.1109/ELECSYM.2015.7380855
B. Rohman, D. Kurniawan, M. T. Miftahushudur
This paper presents the switching CA/OS CFAR using neural network for improving the radar target detection in non-homogeneous environment. This method uses one of between CA-CFAR and OS-CFAR as output threshold depends on the nearest value with the output of neural network. The neural network used in this research is the Multi-Layer Perceptron (MLP) consisted of two hidden layers. The input of neural network was as many as 3 consisted of CA and OS CFAR and Cell Under Test (CUT) value. The pattern of those inputs will be classified and recognized by the neural network by the training to calculate the preliminary threshold. That threshold will be compared to CA and OS CFAR to select the best final threshold. The method was examined with three simulated common radar cases including homogeneous background, multi target and clutter wall environment. The experiments show that the proposed method is capable to select properly based on the best performance of both CA and OS CFAR in homogeneous and non-homogeneous environments.
针对非均匀环境下雷达目标检测的问题，提出了一种基于神经网络的切换CA/OS CFAR算法。该方法使用CA-CFAR和OS-CFAR之间的一个作为输出阈值，依赖于与神经网络输出最接近的值。本研究中使用的神经网络是由两个隐藏层组成的多层感知器(MLP)。神经网络的输入多达3个，由CA和OS的CFAR和Cell Under Test (CUT)值组成。这些输入的模式将被神经网络通过训练进行分类和识别，从而计算出初步阈值。该阈值将与CA和OS CFAR进行比较，以选择最佳的最终阈值。通过均匀背景、多目标和杂波壁环境三种常见雷达模拟情况对该方法进行了验证。实验表明，该方法能够在同构和非同构环境下根据CA和OS CFAR的最佳性能进行适当选择。
{"title":"Switching CA/OS CFAR using neural network for radar target detection in non-homogeneous environment","authors":"B. Rohman, D. Kurniawan, M. T. Miftahushudur","doi":"10.1109/ELECSYM.2015.7380855","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380855","url":null,"abstract":"This paper presents the switching CA/OS CFAR using neural network for improving the radar target detection in non-homogeneous environment. This method uses one of between CA-CFAR and OS-CFAR as output threshold depends on the nearest value with the output of neural network. The neural network used in this research is the Multi-Layer Perceptron (MLP) consisted of two hidden layers. The input of neural network was as many as 3 consisted of CA and OS CFAR and Cell Under Test (CUT) value. The pattern of those inputs will be classified and recognized by the neural network by the training to calculate the preliminary threshold. That threshold will be compared to CA and OS CFAR to select the best final threshold. The method was examined with three simulated common radar cases including homogeneous background, multi target and clutter wall environment. The experiments show that the proposed method is capable to select properly based on the best performance of both CA and OS CFAR in homogeneous and non-homogeneous environments.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122200395","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 : 2015-09-01DOI: 10.1109/ELECSYM.2015.7380826
Panca Mudjirahardjo, J. Tan, Hyoungseop Kim, S. Ishikawa
Feature extraction plays an important role in head recognition. It transforms an original image into a specific vector to be fed into a classifier. An original image cannot be further processed directly. Raw information in an original image does not represent a specific pattern and a machine cannot understand that information. In this paper, we propose a novel feature extraction method for human head recognition and perform a comparison of the existing image features extraction methods using a static image. The existing features are HOG and LBP, and the proposed feature is a histogram of transition. A histogram of transition is based on calculation of a transition feature. A transition feature is to compute the location and the number of transitions from background to foreground along horizontal and vertical lines. So, this transition feature relies on foreground extraction. In design, the proposed feature has the number of arrays less than the existing features, and the computation of feature transition is simpler than the existing features. These conditions give the computation of the proposed feature faster than the computation of existing features. The recognition rates using the proposed feature are that the head recognition rate is 91% and the non-head recognition rate is 99.7%. The execution time is 0.077 ms. These performances show that the proposed feature can be used for real time application.
{"title":"Comparison of feature extraction methods for head recognition","authors":"Panca Mudjirahardjo, J. Tan, Hyoungseop Kim, S. Ishikawa","doi":"10.1109/ELECSYM.2015.7380826","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380826","url":null,"abstract":"Feature extraction plays an important role in head recognition. It transforms an original image into a specific vector to be fed into a classifier. An original image cannot be further processed directly. Raw information in an original image does not represent a specific pattern and a machine cannot understand that information. In this paper, we propose a novel feature extraction method for human head recognition and perform a comparison of the existing image features extraction methods using a static image. The existing features are HOG and LBP, and the proposed feature is a histogram of transition. A histogram of transition is based on calculation of a transition feature. A transition feature is to compute the location and the number of transitions from background to foreground along horizontal and vertical lines. So, this transition feature relies on foreground extraction. In design, the proposed feature has the number of arrays less than the existing features, and the computation of feature transition is simpler than the existing features. These conditions give the computation of the proposed feature faster than the computation of existing features. The recognition rates using the proposed feature are that the head recognition rate is 91% and the non-head recognition rate is 99.7%. The execution time is 0.077 ms. These performances show that the proposed feature can be used for real time application.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133421966","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 : 2015-09-01DOI: 10.1109/ELECSYM.2015.7380843
Umi Sa’adah, Jauari Akhmad, M. Hisyam
Along with the development of technology, many web developers use the framework to simplify the development process. If using pure PHP, the process of development will takes a long time. Framework technology continues to evolve, from the full stack model, until the MVC (Model View Controller) model that is now popular. Each framework is implementing a design pattern that is different. While each design pattern if implemented, have advantages and disadvantages of each. Some existing framework has a complex pattern designs. Whereas the complexity of the design, not always comparable to the performance. Some of the files are included in a PHP script execution. To overcome this, we used a simple design pattern, namely Singleton and namespace or package in Java. This research resulted in a lightweight PHP framework, with a Singleton design pattern, namespace, AJAX, and multiple databases.
{"title":"Implementing Singleton method in design of MVC-based PHP framework","authors":"Umi Sa’adah, Jauari Akhmad, M. Hisyam","doi":"10.1109/ELECSYM.2015.7380843","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380843","url":null,"abstract":"Along with the development of technology, many web developers use the framework to simplify the development process. If using pure PHP, the process of development will takes a long time. Framework technology continues to evolve, from the full stack model, until the MVC (Model View Controller) model that is now popular. Each framework is implementing a design pattern that is different. While each design pattern if implemented, have advantages and disadvantages of each. Some existing framework has a complex pattern designs. Whereas the complexity of the design, not always comparable to the performance. Some of the files are included in a PHP script execution. To overcome this, we used a simple design pattern, namely Singleton and namespace or package in Java. This research resulted in a lightweight PHP framework, with a Singleton design pattern, namespace, AJAX, and multiple databases.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133509355","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 : 2015-09-01DOI: 10.1109/ELECSYM.2015.7380836
T. Santoso, M. Huda, H. Mahmudah
In this paper, we present the performance evaluation of constant false alarm rate (CFAR) detector for delay spread analysis of underwater acoustic channel, in shallow water environment. The model is developed with ray tracing of a Towing Tank, and validated by measurement with pseudo-noise (PN) sequence probe signal. Delay spread is obtained by using correlation between original of transmitter part with received signal. Threshold decision is based on CFAR technique, and has been developed by using three methods: Cell Averaging-CFAR (CA-CFAR), least square filter, and Sousa model. Comparison the three models with analytic model based on ray-theory, showed that the combination of CFAR with Sousa model achieved better performance that the others. This combination technique was able to differentiated samples of noise with samples of multipath components more accurately. The output shows the delay spread is similar to the analytical model.
{"title":"Performance evaluation of CFAR detector for delay spread analysis of underwater acoustic channel","authors":"T. Santoso, M. Huda, H. Mahmudah","doi":"10.1109/ELECSYM.2015.7380836","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380836","url":null,"abstract":"In this paper, we present the performance evaluation of constant false alarm rate (CFAR) detector for delay spread analysis of underwater acoustic channel, in shallow water environment. The model is developed with ray tracing of a Towing Tank, and validated by measurement with pseudo-noise (PN) sequence probe signal. Delay spread is obtained by using correlation between original of transmitter part with received signal. Threshold decision is based on CFAR technique, and has been developed by using three methods: Cell Averaging-CFAR (CA-CFAR), least square filter, and Sousa model. Comparison the three models with analytic model based on ray-theory, showed that the combination of CFAR with Sousa model achieved better performance that the others. This combination technique was able to differentiated samples of noise with samples of multipath components more accurately. The output shows the delay spread is similar to the analytical model.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127367621","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}
This study aims to perform a simple lips feature recognition using lips angle detection. This feature detection starts from the search area of the face using skin segmentation continues to find the area of the lips by anthropometry human face in general. Then from the lips area to be searched its use lips angle detection algorithm to determine the coordinates of the corner of his mouth by the Lowest grayscale value combined with integral projections. Testing feature detection using 11 human faces, each doing four different expressions performed in real time. Four expressions are normal conditions, a thin smile, big smile and stare representing the possibilities of impending noise to ensure the accuracy of the lips features detection system. From the test results Obtained an average percentage of success of the system to normal conditions of 77.9%, a thin smile 91.68%, 95.97% and a wide smile.
{"title":"Lips feature detection using camera and ARM 11","authors":"Sigit Wasista, Setiawardhana, Firman Zaenur Rochim","doi":"10.1109/ELECSYM.2015.7380827","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380827","url":null,"abstract":"This study aims to perform a simple lips feature recognition using lips angle detection. This feature detection starts from the search area of the face using skin segmentation continues to find the area of the lips by anthropometry human face in general. Then from the lips area to be searched its use lips angle detection algorithm to determine the coordinates of the corner of his mouth by the Lowest grayscale value combined with integral projections. Testing feature detection using 11 human faces, each doing four different expressions performed in real time. Four expressions are normal conditions, a thin smile, big smile and stare representing the possibilities of impending noise to ensure the accuracy of the lips features detection system. From the test results Obtained an average percentage of success of the system to normal conditions of 77.9%, a thin smile 91.68%, 95.97% and a wide smile.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121280319","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 : 2015-09-01DOI: 10.1109/ELECSYM.2015.7380845
Irwan Alnarus Kautsar, S. Kubota, Y. Musashi, K. Sugitani
Recently, Indonesia has more than 3.000 Higher Education Institutions, 300.000 lecturers, and 7.8 million higher education students. To handle those numerous stakeholders, Directorate General Higher Education Indonesia Government (DGHEI - as the regulator of higher education institutions) has been developed several websites as Information Systems (IS). The developed information system was used to manage information that attached on the stakeholders entities. Those information entities were projected for open public data access. In other hand, the Information Systems that offered by DGHEI are not only single information system. But also several information system that not integrated yet become single portal. Moreover, DGHEI regulates lecturers to upload their entities such as portfolios and other supporting documents developed IS's. However, this will be cause a time consuming, repetition activities and data redundant. Those problems are called administrative problems. In the meantime, our current development Lecturer Based Supportive Tool (LBST) has been developed as lecturer assistance to enrich learning materials on limited bandwidth condition. This paper discusses the use of LBST as Data Provider to solve the administrative problems that has been occurred in Indonesia higher education environments. Instead of uploading into DGHEI information systems, lecturers eager to use LBST as an alternative systems that offered by DGHEI. As a result, LBST could be driven into data provider that provides information that needed by DGHEI or other data customers.
{"title":"The use of Lecturer Based Supportive Tools (LBST) as Data Provider for Indonesian lecturer administrative problems","authors":"Irwan Alnarus Kautsar, S. Kubota, Y. Musashi, K. Sugitani","doi":"10.1109/ELECSYM.2015.7380845","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380845","url":null,"abstract":"Recently, Indonesia has more than 3.000 Higher Education Institutions, 300.000 lecturers, and 7.8 million higher education students. To handle those numerous stakeholders, Directorate General Higher Education Indonesia Government (DGHEI - as the regulator of higher education institutions) has been developed several websites as Information Systems (IS). The developed information system was used to manage information that attached on the stakeholders entities. Those information entities were projected for open public data access. In other hand, the Information Systems that offered by DGHEI are not only single information system. But also several information system that not integrated yet become single portal. Moreover, DGHEI regulates lecturers to upload their entities such as portfolios and other supporting documents developed IS's. However, this will be cause a time consuming, repetition activities and data redundant. Those problems are called administrative problems. In the meantime, our current development Lecturer Based Supportive Tool (LBST) has been developed as lecturer assistance to enrich learning materials on limited bandwidth condition. This paper discusses the use of LBST as Data Provider to solve the administrative problems that has been occurred in Indonesia higher education environments. Instead of uploading into DGHEI information systems, lecturers eager to use LBST as an alternative systems that offered by DGHEI. As a result, LBST could be driven into data provider that provides information that needed by DGHEI or other data customers.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124066906","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 : 2015-09-01DOI: 10.1109/ELECSYM.2015.7380835
Zainal Muludi, E. Setijadi
In this paper is presented the design of a dual-band microstrip antenna using disk resonator by RLC load circuit. The frequencies of expected work in the design of this antenna are 145.9 MHz and 436.9 MHz. This antenna design using CST Microwave Studio, the measured parameter is the return loss, VSWR, and antenna gain. Design of antenna is realized and measured for all of parameters. The simulation results obtained for the frequency 145.9 MHz: -26.633 dB return loss; VSWR 1.0978; and the gain realized 0.09702 dB, beside that for the frequency 436.9 MHz is obtained: -30.817 dB return loss; VSWR 1.0593; and gain realized 0.07533 dB. Realization of measurement results for the frequency 145.9 MHz is obtained: -20.23 dB return loss; VSWR 1.283; and gain of 1.78 dBi, and for the working frequency 436.9 MHz is obtained: -16.64 return loss; VSWR 1.394; and gain 6.02 dBi. This antenna can be used as an antenna transceiver Nano portable satellite earth stations.
{"title":"Design of circular polarization microstrip antenna circular dual-band on the frequency 145.9 MHz and 436.9 MHz for portable satellite earth stations nano","authors":"Zainal Muludi, E. Setijadi","doi":"10.1109/ELECSYM.2015.7380835","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380835","url":null,"abstract":"In this paper is presented the design of a dual-band microstrip antenna using disk resonator by RLC load circuit. The frequencies of expected work in the design of this antenna are 145.9 MHz and 436.9 MHz. This antenna design using CST Microwave Studio, the measured parameter is the return loss, VSWR, and antenna gain. Design of antenna is realized and measured for all of parameters. The simulation results obtained for the frequency 145.9 MHz: -26.633 dB return loss; VSWR 1.0978; and the gain realized 0.09702 dB, beside that for the frequency 436.9 MHz is obtained: -30.817 dB return loss; VSWR 1.0593; and gain realized 0.07533 dB. Realization of measurement results for the frequency 145.9 MHz is obtained: -20.23 dB return loss; VSWR 1.283; and gain of 1.78 dBi, and for the working frequency 436.9 MHz is obtained: -16.64 return loss; VSWR 1.394; and gain 6.02 dBi. This antenna can be used as an antenna transceiver Nano portable satellite earth stations.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130391844","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 : 2015-09-01DOI: 10.1109/ELECSYM.2015.7380821
D. Pratama, E. Binugroho, Fernando Ardilla
Balancing robot which is proposed in this paper is a robot that relies on two wheels in the process of movement. Unlike the other mobile robot which is mechanically stable in its standing position, balancing robot need a balancing control which requires an angle value to be used as tilt feedback. The balancing control will control the robot, so it can maintain its standing position. Beside the balancing control itself, the movement of balancing robot needs its own control in order to control the movement while keeping the robot balanced. Both controllers will be combined since will both of them control the same wheel as the actuator. In this paper we proposed a cascaded PID control algorithm to combine the balancing and movement or distance controller. The movement of the robot is controlled using a distance controller that use rotary encoder sensor to measure its traveled distance. The experiment shows that the robot is able to climb up on 30 degree sloping board. By cascading the distance control to the balancing control, the robot is able to move forward, turning, and reach the desired position by calculating the body's tilt angle.
{"title":"Movement control of two wheels balancing robot using cascaded PID controller","authors":"D. Pratama, E. Binugroho, Fernando Ardilla","doi":"10.1109/ELECSYM.2015.7380821","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380821","url":null,"abstract":"Balancing robot which is proposed in this paper is a robot that relies on two wheels in the process of movement. Unlike the other mobile robot which is mechanically stable in its standing position, balancing robot need a balancing control which requires an angle value to be used as tilt feedback. The balancing control will control the robot, so it can maintain its standing position. Beside the balancing control itself, the movement of balancing robot needs its own control in order to control the movement while keeping the robot balanced. Both controllers will be combined since will both of them control the same wheel as the actuator. In this paper we proposed a cascaded PID control algorithm to combine the balancing and movement or distance controller. The movement of the robot is controlled using a distance controller that use rotary encoder sensor to measure its traveled distance. The experiment shows that the robot is able to climb up on 30 degree sloping board. By cascading the distance control to the balancing control, the robot is able to move forward, turning, and reach the desired position by calculating the body's tilt angle.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131618079","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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