Pub Date : 2013-12-02DOI: 10.1109/ICITEED.2013.6676208
Viktor Wijaya, Alva Erwin, M. Galinium, W. Muliady
Research concerning Twitter mining becomes an interesting research topic recently. It is proven by numerous number of published paper related with this topic. This research is intended to develop a prototype system for classifying Indonesian language tweets. The prototype includes preprocessing step, main information retrieval and classification system. This research proposes a system that uses grammatical rule for retrieving main information from the tweet, and then classifies the information to the suitable mood space. The classification algorithm, which is used, is lexicon based classifier. The proposed classification system has 53.67% accuracy for classifying tweets into 12 mood spaces and 75% accuracy for classifying tweets into 4 mood spaces. As the comparison, the same dataset is also classified using SVM and Naïve Bayes.
{"title":"Automatic mood classification of Indonesian tweets using linguistic approach","authors":"Viktor Wijaya, Alva Erwin, M. Galinium, W. Muliady","doi":"10.1109/ICITEED.2013.6676208","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676208","url":null,"abstract":"Research concerning Twitter mining becomes an interesting research topic recently. It is proven by numerous number of published paper related with this topic. This research is intended to develop a prototype system for classifying Indonesian language tweets. The prototype includes preprocessing step, main information retrieval and classification system. This research proposes a system that uses grammatical rule for retrieving main information from the tweet, and then classifies the information to the suitable mood space. The classification algorithm, which is used, is lexicon based classifier. The proposed classification system has 53.67% accuracy for classifying tweets into 12 mood spaces and 75% accuracy for classifying tweets into 4 mood spaces. As the comparison, the same dataset is also classified using SVM and Naïve Bayes.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"276 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123084587","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676219
A. Awaludin, G. A. Nugroho, Sahirul Alam, F. K. Dwi, R. Yuwono
Marine radar commonly used for ship navigation. Nowadays, utilization of this radar to another application has expanded. For further applications, several marine radars have some limitations such as monochrome display and require new signal acquisition and processing. This research developed marine radar signal acquisition and processing system based on Furuno x-band marine radar 1932 Mark-2. The developed tool consist of marine radar signal conditioner, ADC and marine radar signal processing using Matlab. This signal processing system display provide signal echo strength visualization, gain control, sea clutter control and rain clutter control. The simulation test was conducted to test the signal processing system. The result was the GUI display at full and half gain are quite similar with marine radar display unit view. The sea and rain clutter control test results were relevant with its function in reducing more close echoes rather than far echoes. While the time required for creating an image is still need for improvement.
{"title":"Development of marine radar signal acquisition and processing system","authors":"A. Awaludin, G. A. Nugroho, Sahirul Alam, F. K. Dwi, R. Yuwono","doi":"10.1109/ICITEED.2013.6676219","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676219","url":null,"abstract":"Marine radar commonly used for ship navigation. Nowadays, utilization of this radar to another application has expanded. For further applications, several marine radars have some limitations such as monochrome display and require new signal acquisition and processing. This research developed marine radar signal acquisition and processing system based on Furuno x-band marine radar 1932 Mark-2. The developed tool consist of marine radar signal conditioner, ADC and marine radar signal processing using Matlab. This signal processing system display provide signal echo strength visualization, gain control, sea clutter control and rain clutter control. The simulation test was conducted to test the signal processing system. The result was the GUI display at full and half gain are quite similar with marine radar display unit view. The sea and rain clutter control test results were relevant with its function in reducing more close echoes rather than far echoes. While the time required for creating an image is still need for improvement.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127746904","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676252
M. Alaydrus, D. Widiastuti, Teguh Yulianto
Bandpass filters play a significant role in many wireless communication systems. The filters pass desired signals and reject unwanted one. In this paper, we design a four-pole bandpass filter using a rigorous computer simulation. The resonators used are square open-loop resonators. To get a sharper selectivity around the pass band, transmission zeros though cross-coupling between resonators are introduced. In simulation, we compare the results for relative permittivity 4.4 and 4.9, and for tangent loss 0.025 (lossy) and 0.0 (lossless). The simulation shows, the required specifications are fulfilled for lossless case, whereas for lossy case, an insertion loss of 8.3 dB observed. For verification, the bandpass filter is built in FR4. In this lossy microstrip, a measurement shows, we get an insertion loss of about 6.64 dB and a bandwidth of about 120 MHz.
{"title":"Designing cross-coupled bandpass filters with transmission zeros in lossy microstrip","authors":"M. Alaydrus, D. Widiastuti, Teguh Yulianto","doi":"10.1109/ICITEED.2013.6676252","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676252","url":null,"abstract":"Bandpass filters play a significant role in many wireless communication systems. The filters pass desired signals and reject unwanted one. In this paper, we design a four-pole bandpass filter using a rigorous computer simulation. The resonators used are square open-loop resonators. To get a sharper selectivity around the pass band, transmission zeros though cross-coupling between resonators are introduced. In simulation, we compare the results for relative permittivity 4.4 and 4.9, and for tangent loss 0.025 (lossy) and 0.0 (lossless). The simulation shows, the required specifications are fulfilled for lossless case, whereas for lossy case, an insertion loss of 8.3 dB observed. For verification, the bandpass filter is built in FR4. In this lossy microstrip, a measurement shows, we get an insertion loss of about 6.64 dB and a bandwidth of about 120 MHz.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127881971","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676207
Preeyaporn Yunuch, Noppadol Maneerat, D. Isarakorn, B. Pasaya, Ronakorn Panjaphongse, R. Varakulsiripunth
This paper proposes an automatic system to diagnose the diabetic retinopathy symptom, which can cause a loss of vision by analysis the abnormality in retinal image. Digital image processing system is developed for the retinal image analysis which helps ophthalmologists to identify diabetic patients. The retinal images derived from ophthalmologists are used to analysis by using HSV, area identification and eccentricity techniques to distinguish diabetic retinopathy symptoms from normal diabetic patients. First color bar is evaluated by using HSV method and then using the eccentricity technique with area of pixel to find out the abnormality of Microaneurysms (MAs). The accuracy result of experiment is around 93% when compares to the analysis of ophthalmologists.
{"title":"Automatic microaneurysms detection through retinal color image analysis","authors":"Preeyaporn Yunuch, Noppadol Maneerat, D. Isarakorn, B. Pasaya, Ronakorn Panjaphongse, R. Varakulsiripunth","doi":"10.1109/ICITEED.2013.6676207","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676207","url":null,"abstract":"This paper proposes an automatic system to diagnose the diabetic retinopathy symptom, which can cause a loss of vision by analysis the abnormality in retinal image. Digital image processing system is developed for the retinal image analysis which helps ophthalmologists to identify diabetic patients. The retinal images derived from ophthalmologists are used to analysis by using HSV, area identification and eccentricity techniques to distinguish diabetic retinopathy symptoms from normal diabetic patients. First color bar is evaluated by using HSV method and then using the eccentricity technique with area of pixel to find out the abnormality of Microaneurysms (MAs). The accuracy result of experiment is around 93% when compares to the analysis of ophthalmologists.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128237071","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676213
A. G. Persada, N. A. Setiawan, H. A. Nugroho
The research presented in this paper is focused on comparative study of various attribute selections as one of preprocessing methods used in world machine learning applications. Using UCI arrhythmia dataset, nine combination of attribute selection, based on search methods (Best First, Genetic Search and PSO Search) and attribute evaluator (CfsSubsetEval, ConsistencySubsetEval, and RSARSubsetEval) are tested and compared. Those data of attribute reduction results are then classified by using eight classifiers (Naive Bayes, Bayes Net, MLP Classifier, RBF Classifier, Jrip, PART, J48 and Random Forest). The best overall results are achieved by the combination of Best First and CsfSubsetEval which has the accuracy of 81% when it is tested with RBF Classifier. PSO Search methods was also found not very effective to generate high quality subsets.
{"title":"Comparative study of attribute reduction on arrhythmia classification dataset","authors":"A. G. Persada, N. A. Setiawan, H. A. Nugroho","doi":"10.1109/ICITEED.2013.6676213","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676213","url":null,"abstract":"The research presented in this paper is focused on comparative study of various attribute selections as one of preprocessing methods used in world machine learning applications. Using UCI arrhythmia dataset, nine combination of attribute selection, based on search methods (Best First, Genetic Search and PSO Search) and attribute evaluator (CfsSubsetEval, ConsistencySubsetEval, and RSARSubsetEval) are tested and compared. Those data of attribute reduction results are then classified by using eight classifiers (Naive Bayes, Bayes Net, MLP Classifier, RBF Classifier, Jrip, PART, J48 and Random Forest). The best overall results are achieved by the combination of Best First and CsfSubsetEval which has the accuracy of 81% when it is tested with RBF Classifier. PSO Search methods was also found not very effective to generate high quality subsets.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121881562","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676259
M. Abdillah, M. Purnomo, A. Soeprijanto, I. Farid
This paper proposes a novel design of wide area control system (WACS). WACS is utilized to damp the oscillation on power system. WACS consists of wide area monitor (WAM) and wide area control (WAC). WAM is used to monitor the dynamic behavior of power system, while WAC is used as the additional controller on power system. The proposed method is called WACS based multi-output support vector machine (M-SVM). M-SVM used in this paper is M-SVM for regression. The input signal which used by WAM is the input signal to the AVR ΔVwi, the mechanical power ΔPmi and the electrical power ΔPei of each generator. The output of WAM is utilized to predict the speed deviation of the generator. WAC is using the input signal of mechanical power ΔPmi and electrical power ΔPei from generator, while the output of WAC is the signal control which injected to the AVR ΔVwi. A two-area-four-generator is utilized as a tested system to evaluate the performance of the proposed method. From the simulation results that has been conducted, the proposed method can reduce the overshoot and compress the settling time better than other methods that presented in this paper.
{"title":"A novel design of WACS based multi-output support vector machine (M-SVM) for oscillation damping on power system","authors":"M. Abdillah, M. Purnomo, A. Soeprijanto, I. Farid","doi":"10.1109/ICITEED.2013.6676259","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676259","url":null,"abstract":"This paper proposes a novel design of wide area control system (WACS). WACS is utilized to damp the oscillation on power system. WACS consists of wide area monitor (WAM) and wide area control (WAC). WAM is used to monitor the dynamic behavior of power system, while WAC is used as the additional controller on power system. The proposed method is called WACS based multi-output support vector machine (M-SVM). M-SVM used in this paper is M-SVM for regression. The input signal which used by WAM is the input signal to the AVR ΔVwi, the mechanical power ΔPmi and the electrical power ΔPei of each generator. The output of WAM is utilized to predict the speed deviation of the generator. WAC is using the input signal of mechanical power ΔPmi and electrical power ΔPei from generator, while the output of WAC is the signal control which injected to the AVR ΔVwi. A two-area-four-generator is utilized as a tested system to evaluate the performance of the proposed method. From the simulation results that has been conducted, the proposed method can reduce the overshoot and compress the settling time better than other methods that presented in this paper.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122124485","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676217
Iwan Awaludin, Priyanto Hidayatullah, Jonner Hutahaean, Dewa Gede Parta
Bandung State Polytechnic (POLBAN) has participated twice in humanoid robot soccer competition. From those two participations, it was known that the weakness was in computer vision. Computer vision capability is constrained by robot hardware specifications so that it was impossible to embed our recent object recognition application. In this study, we propose a computer vision system that implemented the latest technology similar to that technology used in the humanoid soccer winner season 2011. The model uses a field where the object and size comply with the rules of humanoid soccer tournament 2011. Some previous methods use off the field camera which is cannot be used in humanoid soccer tournament because the sensor used has to be attached to the robot. While the approach in this paper emphasized to the fact that goalkeeper's position tend to be static relative to the object in a competition field. Goal keeper through its vision system recognizes objects and measures ball position using image processing technique. The process of ball position measurement was first carried out by recognizing three different objects in the competition field: ball, goal's bar, and field line. Recognition process utilizes back projection method based on HSV information. After the three objects were detected, the measurement of ball position on the field was carried out by ANN model by considering ball position in the image, position of goal's horizontal bar, and the middle field line point. After 10,000 training, the result is encouraging with the average error is less than 1 cm.
{"title":"Detection and object position measurement using computer vision on humanoid soccer","authors":"Iwan Awaludin, Priyanto Hidayatullah, Jonner Hutahaean, Dewa Gede Parta","doi":"10.1109/ICITEED.2013.6676217","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676217","url":null,"abstract":"Bandung State Polytechnic (POLBAN) has participated twice in humanoid robot soccer competition. From those two participations, it was known that the weakness was in computer vision. Computer vision capability is constrained by robot hardware specifications so that it was impossible to embed our recent object recognition application. In this study, we propose a computer vision system that implemented the latest technology similar to that technology used in the humanoid soccer winner season 2011. The model uses a field where the object and size comply with the rules of humanoid soccer tournament 2011. Some previous methods use off the field camera which is cannot be used in humanoid soccer tournament because the sensor used has to be attached to the robot. While the approach in this paper emphasized to the fact that goalkeeper's position tend to be static relative to the object in a competition field. Goal keeper through its vision system recognizes objects and measures ball position using image processing technique. The process of ball position measurement was first carried out by recognizing three different objects in the competition field: ball, goal's bar, and field line. Recognition process utilizes back projection method based on HSV information. After the three objects were detected, the measurement of ball position on the field was carried out by ANN model by considering ball position in the image, position of goal's horizontal bar, and the middle field line point. After 10,000 training, the result is encouraging with the average error is less than 1 cm.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124587877","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676241
H. Jayadianti, L. Nugroho, P. Insap Santosa, Carlos Alberta Baptista Sousa Pinto, W. Widayat
Green computing refers to the system that provides minimal impact on the environment. When we are talking about green computing we discuss about how much energy is used by the system, such as energy used by the system, time used for the search process, and how effective the system is. Related to that issue, trough this paper we want to proposes a new effort to achieve Green Computing in heterogeneous data in distributed system. The technology chosen to deal with them is Ontology. We try to generate a common ontology including a common set of terms, based on the several ontologies available, in order to make possible to share the common terminology (set of terms) that it implements, between different communities. If a very large amount of distributed data is not managed and distributed properly, user will need more time to do a search process. The longer the search is done, the more energy is used.
{"title":"Semantic interrelation in distributed system through green computing ontology","authors":"H. Jayadianti, L. Nugroho, P. Insap Santosa, Carlos Alberta Baptista Sousa Pinto, W. Widayat","doi":"10.1109/ICITEED.2013.6676241","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676241","url":null,"abstract":"Green computing refers to the system that provides minimal impact on the environment. When we are talking about green computing we discuss about how much energy is used by the system, such as energy used by the system, time used for the search process, and how effective the system is. Related to that issue, trough this paper we want to proposes a new effort to achieve Green Computing in heterogeneous data in distributed system. The technology chosen to deal with them is Ontology. We try to generate a common ontology including a common set of terms, based on the several ontologies available, in order to make possible to share the common terminology (set of terms) that it implements, between different communities. If a very large amount of distributed data is not managed and distributed properly, user will need more time to do a search process. The longer the search is done, the more energy is used.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134137131","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676267
H. Andre, U. Khayam
Detection of partial discharge (PD) with an antenna as ultra high frequency (UHF) sensor at a frequency of 300 MHz - 3 GHz has been widely used and proven to be an effective away for diagnosis of insulation in gas insulation switchgear (GIS). Various types of antennas have been developed to obtain better sensitivity and accuracy in the UHF bandwidth range. Bowtie antenna can be used as a sensor because it has the characteristics of ultra wide band (UWB). Sensitivity antenna greatly affects the ability of the sensor to detect the electromagnetic signals (EM) from source PD. Return loss (RL) used as a parameter to see the sensitivity of the antenna because it has a better resolution to see the reflected signal. This study new shape bowtie antenna to get better sensitivity. Influence edge modification and sliced modification will be discussed and simulated in antenna design. Simulation results show modification edge and sliced bowtie antenna able to produce optimal sensitivity antenna with a radius of 18 mm and 16 mm. The technique led to the reduction of the antenna surface significantly.
{"title":"Design of new shape printed bowtie antena for ultra high frequency partial discharge sensor in gas-insulated substations","authors":"H. Andre, U. Khayam","doi":"10.1109/ICITEED.2013.6676267","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676267","url":null,"abstract":"Detection of partial discharge (PD) with an antenna as ultra high frequency (UHF) sensor at a frequency of 300 MHz - 3 GHz has been widely used and proven to be an effective away for diagnosis of insulation in gas insulation switchgear (GIS). Various types of antennas have been developed to obtain better sensitivity and accuracy in the UHF bandwidth range. Bowtie antenna can be used as a sensor because it has the characteristics of ultra wide band (UWB). Sensitivity antenna greatly affects the ability of the sensor to detect the electromagnetic signals (EM) from source PD. Return loss (RL) used as a parameter to see the sensitivity of the antenna because it has a better resolution to see the reflected signal. This study new shape bowtie antenna to get better sensitivity. Influence edge modification and sliced modification will be discussed and simulated in antenna design. Simulation results show modification edge and sliced bowtie antenna able to produce optimal sensitivity antenna with a radius of 18 mm and 16 mm. The technique led to the reduction of the antenna surface significantly.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132111871","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676223
Pham Anh Hung, P. Sooraksa, K. Klomkarn
In this paper, an improvement on free-size image encryption scheme using Baker map combining Scan patterns is proposed. The generalized discrete chaotic Baker map uses sequences of parameters generated by chaotic Gauss map to divide image matrix into boxes. Scrambling method is done by using Scan patterns in each boxes of chaotic Baker map. After scrambling method, chaotic 3-D Chen system is selected to do the pixel transformation. Through the experiments, the security of proposed scheme is tested by introducing keys analysis, entropy analysis, statistical analysis, and processing time so that the scheme achieves high encryption efficiency.
{"title":"Extended Baker map using Scan patterns for image encryption","authors":"Pham Anh Hung, P. Sooraksa, K. Klomkarn","doi":"10.1109/ICITEED.2013.6676223","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676223","url":null,"abstract":"In this paper, an improvement on free-size image encryption scheme using Baker map combining Scan patterns is proposed. The generalized discrete chaotic Baker map uses sequences of parameters generated by chaotic Gauss map to divide image matrix into boxes. Scrambling method is done by using Scan patterns in each boxes of chaotic Baker map. After scrambling method, chaotic 3-D Chen system is selected to do the pixel transformation. Through the experiments, the security of proposed scheme is tested by introducing keys analysis, entropy analysis, statistical analysis, and processing time so that the scheme achieves high encryption efficiency.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123412810","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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