Pub Date : 2015-09-01DOI: 10.1109/ELECSYM.2015.7380809
N. Windarko, A. Tjahjono, D. O. Anggriawan, M. Purnomo
A photovoltaic (PV) module is an important source in distributed generation due to low maintenance cost, low operational cost and eco-friendly. Tracking the maximum power point (MPP) of a PV module has been a hot issue to increase energy production. Maximum power point tracking (MPPT) methods based on nature inspired algorithm such as firefly algorithm (FA) has been proposed to track the MPP. However, the problem the FA method is required long time to reach convergence. Therefore, this paper proposes an adaptive modified firefly algorithm (AMFA) to tracking faster the MPP for convergence. The proposed method is implemented on a buck converter. To evaluate the algorithm, the proposed method is compared with FA and modified FA (MFA). The proposed method is verified by PSIM simulator. The results show that the proposed method can accurately track the MPP and improve the performance of FA in tracking speed for convergence.
{"title":"Maximum power point tracking of photovoltaic system using adaptive modified firefly algorithm","authors":"N. Windarko, A. Tjahjono, D. O. Anggriawan, M. Purnomo","doi":"10.1109/ELECSYM.2015.7380809","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380809","url":null,"abstract":"A photovoltaic (PV) module is an important source in distributed generation due to low maintenance cost, low operational cost and eco-friendly. Tracking the maximum power point (MPP) of a PV module has been a hot issue to increase energy production. Maximum power point tracking (MPPT) methods based on nature inspired algorithm such as firefly algorithm (FA) has been proposed to track the MPP. However, the problem the FA method is required long time to reach convergence. Therefore, this paper proposes an adaptive modified firefly algorithm (AMFA) to tracking faster the MPP for convergence. The proposed method is implemented on a buck converter. To evaluate the algorithm, the proposed method is compared with FA and modified FA (MFA). The proposed method is verified by PSIM simulator. The results show that the proposed method can accurately track the MPP and improve the performance of FA in tracking speed for convergence.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"59 20 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":"132877653","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.2015.7380806
D. Setiawan, Yudha Megantara, Budi Novian Syah
This paper proposes modified synchronous reference frame (MSRF) to improve three phases Uninterruptible Power Supply (UPS) controller. The technique compensates harmonics and power factor correction of voltage distortions due to nonlinear load. The MSRF contains two stages. The first stage is utilization of synchronous reference frame dq with angular frequency and proportional integral (PI) controllers to ensure voltage and current regulation. In this stage, the voltage and current are decomposed into their symmetrical components, positive, negative and zero ones sequentially. The components are then transformed into dq that controlled by means of PI. The last one is converting PI controller output signal to manage the output inverter via a Sinusoidal Pulse Width Modulation (SPWM). Simulation results show the validity of the innovative control strategy.
{"title":"Three phase inverter of UPS control system for harmonic compensator and power factor correction using modified synchronous reference frame","authors":"D. Setiawan, Yudha Megantara, Budi Novian Syah","doi":"10.1109/ELECSYM.2015.7380806","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380806","url":null,"abstract":"This paper proposes modified synchronous reference frame (MSRF) to improve three phases Uninterruptible Power Supply (UPS) controller. The technique compensates harmonics and power factor correction of voltage distortions due to nonlinear load. The MSRF contains two stages. The first stage is utilization of synchronous reference frame dq with angular frequency and proportional integral (PI) controllers to ensure voltage and current regulation. In this stage, the voltage and current are decomposed into their symmetrical components, positive, negative and zero ones sequentially. The components are then transformed into dq that controlled by means of PI. The last one is converting PI controller output signal to manage the output inverter via a Sinusoidal Pulse Width Modulation (SPWM). Simulation results show the validity of the innovative control strategy.","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":"129895585","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.2015.7380854
Asif Ali Zamzami, Ega Putra Devara, Joni Pramana, Amang Sudarsono, Ahmad Zainudin
Recently, the development of telecommunication fields is growing rapidly. One of the important issues in the development of telecommunications is the expansion of public mobile network infrastructures, i.e., base stations. However, the development of base stations requires substantial funds. Currently, there is a solution in building base station infrastructure with more efficient and cheaper by using Software Defined Radio (SDR) and Universal Software Radio Peripheral (USRP). USRP is working as a base station and SDR as a software complement in the development of the system. In this paper, we propose a GSM 2.5G network system. We utilize several software such as soft-switch, GNU radio and OpenBTS to support Mobile Switching Center (MSC), Base Station Controller (BSC), and Base Transceiver Station (BTS) functionalities. We demonstrate handover mechanism between two and more base stations, and authentication mechanism in the system. We also measure the throughput of the system provided by General Packet Radio Service (GPRS). The system capacity provides in average of 4 Kbps for download and 3 Kbps for upload. The main factor that affects the throughput is the factor of multi slot channel allocations towards download and upload. We also demonstrate handover mechanism when MS moves away from USRP 1 towards USRP 2, signal level of USRP 1 received by MS is weaker than signal level of USRP 2. Thus, MS selects USRP which has a strong signal as its base station. In addition, to prevent hacking and provide user authentication on the system, user and MSC must have a same key of Ki. By using a secret key of Ki which owned GSM network, only users that have the same key of Ki can be registered on the system.
{"title":"Reliability analysis of GSM network using Software Defined Radio-based system","authors":"Asif Ali Zamzami, Ega Putra Devara, Joni Pramana, Amang Sudarsono, Ahmad Zainudin","doi":"10.1109/ELECSYM.2015.7380854","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380854","url":null,"abstract":"Recently, the development of telecommunication fields is growing rapidly. One of the important issues in the development of telecommunications is the expansion of public mobile network infrastructures, i.e., base stations. However, the development of base stations requires substantial funds. Currently, there is a solution in building base station infrastructure with more efficient and cheaper by using Software Defined Radio (SDR) and Universal Software Radio Peripheral (USRP). USRP is working as a base station and SDR as a software complement in the development of the system. In this paper, we propose a GSM 2.5G network system. We utilize several software such as soft-switch, GNU radio and OpenBTS to support Mobile Switching Center (MSC), Base Station Controller (BSC), and Base Transceiver Station (BTS) functionalities. We demonstrate handover mechanism between two and more base stations, and authentication mechanism in the system. We also measure the throughput of the system provided by General Packet Radio Service (GPRS). The system capacity provides in average of 4 Kbps for download and 3 Kbps for upload. The main factor that affects the throughput is the factor of multi slot channel allocations towards download and upload. We also demonstrate handover mechanism when MS moves away from USRP 1 towards USRP 2, signal level of USRP 1 received by MS is weaker than signal level of USRP 2. Thus, MS selects USRP which has a strong signal as its base station. In addition, to prevent hacking and provide user authentication on the system, user and MSC must have a same key of Ki. By using a secret key of Ki which owned GSM network, only users that have the same key of Ki can be registered on the system.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"57 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":"131686400","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.2015.7380812
S. Abdullah, M. A. Zulkifley, W. Zaki, Mohd Faisal Ibrahim
Computer assisted system has been implemented virtually in many domains within the field of medical imaging. An automated assessment system based on computer is important for early detection and diagnosis of various diseases. Moreover, image enhancement in medical imaging is a vital component in improving the quality of medical image, so that pre-screening of the disease can be carried accurately without performing any open surgery. Hence, pre-processing module is an important step to enhance the medical image, especially for X-ray modality, which normally affected by artefacts, noise and hardware limitations. A low quality of X-ray image will usually lead to inaccurate diagnosis. Therefore, a semi-automated assessment system has been developed to diagnose Anterior Osteophytes (AO) condition based on X-ray image that focused on cervical vertebrae. The system consists of four main modules: image enhancement, image segmentation, feature extraction and classification. This system is intended to facilitate medical practitioners in screening the AO condition with more accurate and faster diagnosis. A graphical user interface has also been developed to help the medical practitioners to perform the image enhancement easily. The proposed system is tested with 100 cervical X-ray images and the obtained accuracy is 60%. Finally, this system is suitable for real time implementation and can be implemented on most recent desktop technology.
{"title":"X-Ray image enhancement for anterior Osteophyte diagnosis","authors":"S. Abdullah, M. A. Zulkifley, W. Zaki, Mohd Faisal Ibrahim","doi":"10.1109/ELECSYM.2015.7380812","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380812","url":null,"abstract":"Computer assisted system has been implemented virtually in many domains within the field of medical imaging. An automated assessment system based on computer is important for early detection and diagnosis of various diseases. Moreover, image enhancement in medical imaging is a vital component in improving the quality of medical image, so that pre-screening of the disease can be carried accurately without performing any open surgery. Hence, pre-processing module is an important step to enhance the medical image, especially for X-ray modality, which normally affected by artefacts, noise and hardware limitations. A low quality of X-ray image will usually lead to inaccurate diagnosis. Therefore, a semi-automated assessment system has been developed to diagnose Anterior Osteophytes (AO) condition based on X-ray image that focused on cervical vertebrae. The system consists of four main modules: image enhancement, image segmentation, feature extraction and classification. This system is intended to facilitate medical practitioners in screening the AO condition with more accurate and faster diagnosis. A graphical user interface has also been developed to help the medical practitioners to perform the image enhancement easily. The proposed system is tested with 100 cervical X-ray images and the obtained accuracy is 60%. Finally, this system is suitable for real time implementation and can be implemented on most recent desktop technology.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"98 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":"132101948","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.2015.7380825
Setiawardhana, R. Hakkun, Achmad Baharuddin
People who have physical limitations often encountered in life. Deaf and speech impaired have limitations in terms of communication. Researchers are keen to develop a technology translator is able to translate sign language into written language. Growing technology is still limited to the PC-based translator. Researchers are interested in developing the mobile translator shaped because of its simplicity that can be brought in mobile. This research is making an Android-based application that can directly interpret sign language submitted by deaf speech into written language. Translation process begins from the hand detection using Opencv and translation of hand signals with the K-NN classification. Tutorial features added in this application with the aim to train intensively to users in the use of sign language.
{"title":"Sign language learning based on Android for deaf and speech impaired people","authors":"Setiawardhana, R. Hakkun, Achmad Baharuddin","doi":"10.1109/ELECSYM.2015.7380825","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380825","url":null,"abstract":"People who have physical limitations often encountered in life. Deaf and speech impaired have limitations in terms of communication. Researchers are keen to develop a technology translator is able to translate sign language into written language. Growing technology is still limited to the PC-based translator. Researchers are interested in developing the mobile translator shaped because of its simplicity that can be brought in mobile. This research is making an Android-based application that can directly interpret sign language submitted by deaf speech into written language. Translation process begins from the hand detection using Opencv and translation of hand signals with the K-NN classification. Tutorial features added in this application with the aim to train intensively to users in the use of sign language.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"39 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":"121606372","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.2015.7380810
Nur Syazwani Samanu, M. A. Zulkifley, A. Hussain
This paper describes the development of a semi-automatic system for detection and diagnosis of vertebrae condition, focuses on cervical area. The goal of this system is to facilitate medical community to make a faster pre-screening based on the imaging modalities, especially X-ray image. The main challenges in diagnosing a disease through X-ray image are the issue of blur and noise. Therefore, to achieve this goal, a semi-automatic spine extraction to detect disc space narrowing (DSN) condition has been developed that focused on patient with back pain history. In general, this system was developed on Matlab platform that consists of four major modules, which are image enhancement, image segmentation, feature extraction and classification. Image enhancement module utilized Contrast-limited Adaptive Histogram Equalization (CLAHE) and filtering technique to improve the image quality. After that, the second module is performed to extract the desired region from the original X-ray image. Feature extraction module is then implemented to extract unique signature of the vertebrae bones based on the bone's condition. For the last module, feed-forward backpropagation artificial neural network is used to classify the existence of DSN. It needs to be trained before testing is performed so that the parameters can be tuned for optimal classification. The quantitative performance proved that the X-ray image quality has been improved and the system has managed to classify the DSN condition. Simulation results show that the proposed system provides good performance of accuracy with average of 99% for the tested X-ray images. As for future work, the system can be further improved by using more measurement points between the two neighboring vertebras.
{"title":"Semi-automatic spine extraction for disc space narrowing diagnosis","authors":"Nur Syazwani Samanu, M. A. Zulkifley, A. Hussain","doi":"10.1109/ELECSYM.2015.7380810","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380810","url":null,"abstract":"This paper describes the development of a semi-automatic system for detection and diagnosis of vertebrae condition, focuses on cervical area. The goal of this system is to facilitate medical community to make a faster pre-screening based on the imaging modalities, especially X-ray image. The main challenges in diagnosing a disease through X-ray image are the issue of blur and noise. Therefore, to achieve this goal, a semi-automatic spine extraction to detect disc space narrowing (DSN) condition has been developed that focused on patient with back pain history. In general, this system was developed on Matlab platform that consists of four major modules, which are image enhancement, image segmentation, feature extraction and classification. Image enhancement module utilized Contrast-limited Adaptive Histogram Equalization (CLAHE) and filtering technique to improve the image quality. After that, the second module is performed to extract the desired region from the original X-ray image. Feature extraction module is then implemented to extract unique signature of the vertebrae bones based on the bone's condition. For the last module, feed-forward backpropagation artificial neural network is used to classify the existence of DSN. It needs to be trained before testing is performed so that the parameters can be tuned for optimal classification. The quantitative performance proved that the X-ray image quality has been improved and the system has managed to classify the DSN condition. Simulation results show that the proposed system provides good performance of accuracy with average of 99% for the tested X-ray images. As for future work, the system can be further improved by using more measurement points between the two neighboring vertebras.","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":"128683734","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.2015.7380814
Ting Han Yuan, F. H. Hashim, W Mimi Diyana W Zaki, A. B. Huddin
This paper presents an investigation on the characteristics of Microsoft Kinect depth camera for door detection in an indoor environment. Autonomous vehicles usually have to rely on images when navigating indoors due to network limitations of an indoor environment. Locating a door for exit and entryway is one of the problems that need to be tackled when navigating indoors. In this paper, images from a depth camera are captured and used as a tool for detecting doors. The continuously varied ratios and depth differences in the door images have been analysed. An algorithm for door detection was developed using MATLAB. Experiments using different heights and depths of the Kinect sensor have been performed to verify the efficacy of the algorithm for indoor autonomous flying robots like the quadcopter. The algorithm developed is best performed in a clear path of 3.5 meters. The accuracy of the measurement was influenced by the low resolution of the depth images.
{"title":"An automated 3D scanning algorithm using depth cameras for door detection","authors":"Ting Han Yuan, F. H. Hashim, W Mimi Diyana W Zaki, A. B. Huddin","doi":"10.1109/ELECSYM.2015.7380814","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380814","url":null,"abstract":"This paper presents an investigation on the characteristics of Microsoft Kinect depth camera for door detection in an indoor environment. Autonomous vehicles usually have to rely on images when navigating indoors due to network limitations of an indoor environment. Locating a door for exit and entryway is one of the problems that need to be tackled when navigating indoors. In this paper, images from a depth camera are captured and used as a tool for detecting doors. The continuously varied ratios and depth differences in the door images have been analysed. An algorithm for door detection was developed using MATLAB. Experiments using different heights and depths of the Kinect sensor have been performed to verify the efficacy of the algorithm for indoor autonomous flying robots like the quadcopter. The algorithm developed is best performed in a clear path of 3.5 meters. The accuracy of the measurement was influenced by the low resolution of the depth images.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"31 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":"128818549","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.2015.7380823
Barlian Henryranu Prasetio
One technique that is commonly used for mobile robots is an inverted pendulum based model. This research has been implementing a mobile robot technique in an unstable environment. The goal is to design and implementing a discrete digital control system that will provide robot stability. The PID controller algorithm and Ensemble Kalman filter (EnKF) implementation would be an ideal test model of this robot. Both of these algorithms are able to improve the performance of control systems. This robot already tested the performance of the PID control system and the EnKF algorithm. The performance of the PID controller algorithm and EnKF is tested by software. The Control system performance is directly dependent on the EnKF algorithm and input parameters of PID controller. Research uses EnKF algorithm and PID controller as a balancing robot. The covariance filter tuned by manually. Experiments carried out by the method of trial and error by varying the process noise covariance matrix. The system overshoot can be reduced by processing noise covariance matrix. The experiment results showed system optimal on Q_accelerometer: 0001, Q_gyroscope: 0.05 R_measurement: 12:03, P = 1790,005, I = 0.129 and D = 96 881.
一种通常用于移动机器人的技术是基于倒立摆的模型。本课题研究的是在不稳定环境下实现移动机器人技术。目标是设计和实现一个离散的数字控制系统，将提供机器人的稳定性。PID控制器算法和集成卡尔曼滤波(EnKF)的实现将是该机器人理想的测试模型。这两种算法都能提高控制系统的性能。该机器人已经测试了PID控制系统和EnKF算法的性能。通过软件测试了PID控制器算法和EnKF的性能。控制系统的性能直接取决于EnKF算法和PID控制器的输入参数。研究采用EnKF算法和PID控制器作为平衡机器人。协方差滤波器手动调优。实验通过改变过程噪声协方差矩阵的试错法进行。通过对噪声协方差矩阵进行处理，可以降低系统超调。实验结果表明，在q_加速度计:0001,q_陀螺仪:0.05,R_measurement: 12:03, P = 1790,005, I = 0.129, D = 96 881时，系统最优。
{"title":"Ensemble Kalman filter and PID controller implementation on self balancing robot","authors":"Barlian Henryranu Prasetio","doi":"10.1109/ELECSYM.2015.7380823","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380823","url":null,"abstract":"One technique that is commonly used for mobile robots is an inverted pendulum based model. This research has been implementing a mobile robot technique in an unstable environment. The goal is to design and implementing a discrete digital control system that will provide robot stability. The PID controller algorithm and Ensemble Kalman filter (EnKF) implementation would be an ideal test model of this robot. Both of these algorithms are able to improve the performance of control systems. This robot already tested the performance of the PID control system and the EnKF algorithm. The performance of the PID controller algorithm and EnKF is tested by software. The Control system performance is directly dependent on the EnKF algorithm and input parameters of PID controller. Research uses EnKF algorithm and PID controller as a balancing robot. The covariance filter tuned by manually. Experiments carried out by the method of trial and error by varying the process noise covariance matrix. The system overshoot can be reduced by processing noise covariance matrix. The experiment results showed system optimal on Q_accelerometer: 0001, Q_gyroscope: 0.05 R_measurement: 12:03, P = 1790,005, I = 0.129 and D = 96 881.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"53 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":"127718498","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.2015.7380813
Siti Raihanah Abdani, W. Zaki, A. Hussain, Aouache Mustapha
Pterygium is an eye related disease affected by the fibrovascular tissue that encroaches into the corneal region. Recently, image processing techniques have been explored in the development of pterygium detection system. An iris segmentation module is needed to develop an automatic pterygium detection system of the anterior segment photographed images (ASPI). Qualitatively, the invasion of the pterygium tissues on the iris will result in the imperfect circular iris feature. Thus, an adaptive nonlinear enhancement method using sigmoid function have been proposed in this work to enhance the ASPI. The cutoff and gain factor of the sigmoid function are adaptively calculated based on the tested images. Fifty eight ASPI of various sizes contributed by RAFAEL have been tested using the proposed enhancement method. The proposed method proves to give better visual results, later contributes to more accurate segmented iris regions with accuracy and specificity values of 0.9353 and 0.8818, respectively.
{"title":"An adaptive nonlinear enhancement method using sigmoid function for iris segmentation in pterygium cases","authors":"Siti Raihanah Abdani, W. Zaki, A. Hussain, Aouache Mustapha","doi":"10.1109/ELECSYM.2015.7380813","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380813","url":null,"abstract":"Pterygium is an eye related disease affected by the fibrovascular tissue that encroaches into the corneal region. Recently, image processing techniques have been explored in the development of pterygium detection system. An iris segmentation module is needed to develop an automatic pterygium detection system of the anterior segment photographed images (ASPI). Qualitatively, the invasion of the pterygium tissues on the iris will result in the imperfect circular iris feature. Thus, an adaptive nonlinear enhancement method using sigmoid function have been proposed in this work to enhance the ASPI. The cutoff and gain factor of the sigmoid function are adaptively calculated based on the tested images. Fifty eight ASPI of various sizes contributed by RAFAEL have been tested using the proposed enhancement method. The proposed method proves to give better visual results, later contributes to more accurate segmented iris regions with accuracy and specificity values of 0.9353 and 0.8818, respectively.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"30 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":"132296381","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.2015.7380853
Ferry Astika Saputra, Idris Winarno, Muhammad Budi Muliawan
Matagaruda is an Intrusion Detection System Application Framework. It provides four capabilities: seeing not only attacking phase, learning the local traffic and generating local rules, adapting the framework programming and reducing false alarm by using intelligence. In this research we develop a new features called Network Situational Awareness which represent the seeing capabilities in Matagaruda. This research creates 4 features supports in web-based and interactive user interface. We use two attacking scenarios: SQL Injection and DOS for testing purpose. We found that our module meets the requiment of network situational awareness implementation.
{"title":"Implementing Network Situational Awareness in Matagaruda","authors":"Ferry Astika Saputra, Idris Winarno, Muhammad Budi Muliawan","doi":"10.1109/ELECSYM.2015.7380853","DOIUrl":"https://doi.org/10.1109/ELECSYM.2015.7380853","url":null,"abstract":"Matagaruda is an Intrusion Detection System Application Framework. It provides four capabilities: seeing not only attacking phase, learning the local traffic and generating local rules, adapting the framework programming and reducing false alarm by using intelligence. In this research we develop a new features called Network Situational Awareness which represent the seeing capabilities in Matagaruda. This research creates 4 features supports in web-based and interactive user interface. We use two attacking scenarios: SQL Injection and DOS for testing purpose. We found that our module meets the requiment of network situational awareness implementation.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"28 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":"125147325","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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