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2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)最新文献

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Sign language word recognition using via-point information and correlation of they bimanual movements 基于过点信息的手语单词识别及其与手势动作的关联
2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) Pub Date : 2014-08-01 DOI: 10.1109/ICAICTA.2014.7005918
Shinpei Igari, Naohiro Fukumura
{"title":"Sign language word recognition using via-point information and correlation of they bimanual movements","authors":"Shinpei Igari, Naohiro Fukumura","doi":"10.1109/ICAICTA.2014.7005918","DOIUrl":"https://doi.org/10.1109/ICAICTA.2014.7005918","url":null,"abstract":"We have studied Japanese sign Language (JSL) recognition system. In our previous research, we focus on only JSL words performed in the movement of the dominant arm and proposed a recognition method using via-points extracted from the trajectory data of the dominant arm as feature points based on the minimum jerk model. In this study, in order to recognize JSL words performed in bimanual movements, we investigated an integration method of the matching result of the both arms. We classified JSL movements into three categories as part of sign language recognition system. And we used a correlation coefficient and difference of the path length between the both arm movements as a factor to classify JSL. As a result of recognition experiment, the recognition rate was 98% or more in 80 words from multiple speakers.","PeriodicalId":173600,"journal":{"name":"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116312880","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}
引用次数: 4
Adaptive DE based on chaotic sequences and random adjustment for image Contrast Enhancement 基于混沌序列和随机调整的自适应DE图像对比度增强
2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) Pub Date : 2014-08-01 DOI: 10.1109/ICAICTA.2014.7005944
L. M. Rasdi Rere, M. I. Fanany, A. Murni
{"title":"Adaptive DE based on chaotic sequences and random adjustment for image Contrast Enhancement","authors":"L. M. Rasdi Rere, M. I. Fanany, A. Murni","doi":"10.1109/ICAICTA.2014.7005944","DOIUrl":"https://doi.org/10.1109/ICAICTA.2014.7005944","url":null,"abstract":"Differential Evolution (DE) is one of the powerful optimization methods. Performance of this algorithm is significantly relying on its parameter setting. These parameters are usually constant during the entire search process. However to set them accurately is not easy and totally depends on the problem characteristic. To address this challenge, a number of methods have been proposed to automatically fine-tune the parameters, according to feature of the problem. In this paper we evaluated two variations of adaptive DE for application of optimal image Contrast Enhancement. The first method was DE using chaotic sequences and the second was DE based on random adjustment of the parameters. The objective of both variations in this application is to increase the fitness criterion with the aim of enhance the contrast and details of the image. The results are compared with classical DE by four testing images, i.e. Cameraman, Lena, Boat, and Rice. The simulation results show that, applications of these variations adaptive DE in image contrast enhancement are potential approach to increase the performance of classical DE.","PeriodicalId":173600,"journal":{"name":"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121389576","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}
引用次数: 4
Expert systems for self-diagnosing of eye diseases using Naïve Bayes 使用Naïve贝叶斯的眼科疾病自诊断专家系统
2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) Pub Date : 2014-08-01 DOI: 10.1109/ICAICTA.2014.7005925
R. Kurniawan, N. Yanti, M. Nazri, Zulvandri
{"title":"Expert systems for self-diagnosing of eye diseases using Naïve Bayes","authors":"R. Kurniawan, N. Yanti, M. Nazri, Zulvandri","doi":"10.1109/ICAICTA.2014.7005925","DOIUrl":"https://doi.org/10.1109/ICAICTA.2014.7005925","url":null,"abstract":"The best defense against eye diseases is to have regular checkups. However, in reality, poverty stops people outside the developing world from seeing an eye doctor regularly. Thus, many patients did not get appropriate treatment for their eye disease until it is too late. This paper presents an expert system for diagnosing eye disease based on Naive Bayes. The developed expert system applies Case-Based Reasoning (CBR), which is a paradigm for reasoning from experience while the Naïve Bayes is used as a method for classifying eye diseases by applying Bayes' theorem. The outputs of the expert system are classification of an eye disease and information on the best treatment. The result of this study is obtained by comparing the expert system diagnostic results with an expert diagnostic result. Based on the experimental results, the Naïve Bayes based expert system has been able to obtained 82% accuracy. Thus, it can be concluded that an expert system with Naïve Bayes has the potential to be used effectively by the people but still has plenty room for improvement.","PeriodicalId":173600,"journal":{"name":"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124405712","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}
引用次数: 21
Person identification by face recognition on portable device for teaching-aid system: Preliminary report 基于人脸识别的便携式教辅设备的人员识别:初步报告
2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) Pub Date : 2014-08-01 DOI: 10.1109/ICAICTA.2014.7005935
Albadr Nasution, D. B. Sena Bayu, J. Miura
{"title":"Person identification by face recognition on portable device for teaching-aid system: Preliminary report","authors":"Albadr Nasution, D. B. Sena Bayu, J. Miura","doi":"10.1109/ICAICTA.2014.7005935","DOIUrl":"https://doi.org/10.1109/ICAICTA.2014.7005935","url":null,"abstract":"We propose a face recognition system to identify a person and obtain his/her information, especially for teaching-aid contexts. This system is based on the communication between a portable device and a server. We evaluate face detection-recognition methods provided by OpenCV that will be used in the system. We also combine these methods with our illumination normalization and prove it can improve the detection and the recognition rate. With haar-based face detection and the illumination normalization, detection rate is stable at 95% in simple and severe illumination situations. Using Fisherface method with normalization, three training images per person are enough to achieve on average 96.4% recognition rate on Yale B Extended Database. Online prototype has been built and achieves up to 10 fps in performance.","PeriodicalId":173600,"journal":{"name":"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132227932","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}
引用次数: 7
Vitality based feature selection for intrusion detection 基于活力的入侵检测特征选择
2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) Pub Date : 2014-08-01 DOI: 10.1109/ICAICTA.2014.7005921
Jupriyadi, A. I. Kistijantoro
{"title":"Vitality based feature selection for intrusion detection","authors":"Jupriyadi, A. I. Kistijantoro","doi":"10.1109/ICAICTA.2014.7005921","DOIUrl":"https://doi.org/10.1109/ICAICTA.2014.7005921","url":null,"abstract":"Intrusion detection system is the process to monitor network traffic to detect possible attacks. In recent time, network traffic increasing rapidly. There are plenty of research today focused on feature selection or reduction, as some of the features are irrelevant and degrade the performance of an intrusion detection system. By eliminating some of features, we can improve the performance of classification algorithm. In this paper, we evaluate the performance of feature selection methods, such as Correlation Based Feature Selection (CFS), Information Gain (IG), Gain Ratio (GR), Feature Vitality Based Reduction Method (FVBRM). We propose a modification to FVBRM by changing the parameter True Positives Rate (TPR) into False Positives Rate (FPR) and by applying Naïve Bayes classifier on reduced dataset to measure the result of our feature selection method. The results of modified FVBRM indicate that selected attributes provide better performance for intrusion detection system.","PeriodicalId":173600,"journal":{"name":"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133372207","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}
引用次数: 2
Pivot translation using source-side dictionary and target-side parallel corpus towards MT from resource-limited languages 利用源端词典和目标端平行语料库进行资源有限语言的机器翻译
2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) Pub Date : 2014-08-01 DOI: 10.1109/ICAICTA.2014.7005936
Takahiro Nomura, Tomoyoshi Akiba
{"title":"Pivot translation using source-side dictionary and target-side parallel corpus towards MT from resource-limited languages","authors":"Takahiro Nomura, Tomoyoshi Akiba","doi":"10.1109/ICAICTA.2014.7005936","DOIUrl":"https://doi.org/10.1109/ICAICTA.2014.7005936","url":null,"abstract":"Statistical machine translation (SMT) requires a parallel corpus between the source and target languages. This requirement makes SMT difficult to apply to resource-limited languages that do not have any parallel corpora even to a major language, e.g., English. For such a problem, a novel pivot translation method has been proposed that does not require the source-side parallel corpus, but, uses a word dictionary instead. In this paper, we evaluate the relative translation performance of the dictionary-based method by comparing it with both the standard SMT that uses a direct parallel corpus, and the conventional pivot translation that uses two parallel corpora, by using the Europarl corpus. In addition, we also investigate the edge weighting and lattice pruning methods applied to the word lattice that was used to represent the pivot sentence candidates in the dictionary-based method.","PeriodicalId":173600,"journal":{"name":"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117156887","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}
引用次数: 0
Kinect 3D camera based eye-tracking to detect the amount of indoor advertisement viewer 基于Kinect 3D摄像头的眼球追踪，检测观众室内广告的数量
2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) Pub Date : 2014-08-01 DOI: 10.1109/ICAICTA.2014.7005927
C. Kwan, James Purnama, Kho I Eng
{"title":"Kinect 3D camera based eye-tracking to detect the amount of indoor advertisement viewer","authors":"C. Kwan, James Purnama, Kho I Eng","doi":"10.1109/ICAICTA.2014.7005927","DOIUrl":"https://doi.org/10.1109/ICAICTA.2014.7005927","url":null,"abstract":"The primary purpose is to track the amount of indoor advertisement viewer using the Kinect Xbox 360 as the tracking device, and visual studio 2012 to modified the system. Using the source code named Pupillary Distance to get the drawing of eye-models, then modified it to create angle algorithm and determine ID as the viewer. There are some scenario which is to supervise the system's result with any help of volunteers to move past the camera. The scenario is to get the accuracy rate of the system. Then adding angle between the camera and the eyes to tell the position of the eyes, and to tell on what angles do a person mostly mistaken as a viewer. The benefit of the mistaken angle can be useful to get better result in the future research.","PeriodicalId":173600,"journal":{"name":"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114202565","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}
引用次数: 2
A framework of human emotion recognition using extreme learning machine 基于极限学习机的人类情感识别框架
2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) Pub Date : 2014-08-01 DOI: 10.1109/ICAICTA.2014.7005961
Prasetia Utama, Widodo, Hamidillah Ajie
{"title":"A framework of human emotion recognition using extreme learning machine","authors":"Prasetia Utama, Widodo, Hamidillah Ajie","doi":"10.1109/ICAICTA.2014.7005961","DOIUrl":"https://doi.org/10.1109/ICAICTA.2014.7005961","url":null,"abstract":"Human emotion recognition has been challenging issue in field of human-computer interaction. In order to form an interaction that is more natural between human and com-puter, the computer should be able to discern and respond to human emotion. In this paper, an approach for recognizing human emotion is proposed. The proposed approach operates HAAR-classifier to detect mouth, eyes, and eyebrow on face, and, to extract features from them, it uses Gabor wavelet. Before classifying the features, PCA is performed to reduce its dimension. The proposed framework employs SLFNs with ELM as its learning algorithm to classify the features. In this experimental, the proposed framework is tested in two cases, personalize and generalize face case, with ten subjects expressing six basic emotions and neural state. The robustness of ELM is evaluated with comparing it to K-NN and SVM. Preliminary experiment shows that the proposed approach has promising performance in personalize face case.","PeriodicalId":173600,"journal":{"name":"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122746429","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}
引用次数: 2
Numerical analysis for wave propagation in circular waveguide using cylindrical coordinate system-based FDTD method 基于圆柱坐标系的时域有限差分法对波在圆波导中的传播进行数值分析
2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) Pub Date : 2014-08-01 DOI: 10.1109/ICAICTA.2014.7005942
Rahmi Rahmatillah, Chairunnisa, A. Munir
{"title":"Numerical analysis for wave propagation in circular waveguide using cylindrical coordinate system-based FDTD method","authors":"Rahmi Rahmatillah, Chairunnisa, A. Munir","doi":"10.1109/ICAICTA.2014.7005942","DOIUrl":"https://doi.org/10.1109/ICAICTA.2014.7005942","url":null,"abstract":"Several problems of electromagnetic fields can be solved by various numerical methods. One of the methods is finite-difference time-domain (FDTD) where in this work is addressed for modeling a hollow circular waveguide and its wave propagation analysis. Different from other FDTD methods which is usually based-on Cartesian coordinate system, in current paper the cylindrical coordinate system is employed as a basis for computation. The method in two- and three-dimension (2D and 3D) systems is employed to model a circular waveguide which has the radius of 50m and length of 100m. A sine wave modulated Gaussian signal with frequency of 3MHz is applied as a wave source for computation. To truncate the computation area, the second order absorbing boundary condition (ABC) is assigned at the outer side and the center of waveguide. From the numerical result, it shows that the amplitude of wave that propagates from the inner to the outer of waveguide decreases along the radius due to the grid size in cylindrical coordinate system based-FDTD method both in 2D and 3D systems.","PeriodicalId":173600,"journal":{"name":"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120891258","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}
引用次数: 6
Ontology based classification for multi-label image annotation 基于本体的多标签图像标注分类
2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) Pub Date : 2014-08-01 DOI: 10.1109/ICAICTA.2014.7005945
I. Reshma, Md. Zia Ullah, Masaki Aono
{"title":"Ontology based classification for multi-label image annotation","authors":"I. Reshma, Md. Zia Ullah, Masaki Aono","doi":"10.1109/ICAICTA.2014.7005945","DOIUrl":"https://doi.org/10.1109/ICAICTA.2014.7005945","url":null,"abstract":"Image annotation has been an important task for visual information retrieval. It usually involves a multi-class multi-label classification problem. To solve this problem, many researches have been conducted during last two decades, although most of the proposed methods rely on the training data with the ground truth. To prepare such a ground truth is an expensive and laborious task that cannot be easily scaled, and “semantic gaps” between low-level visual features and high-level semantics still remain. In this paper, we propose a novel approach, ontology based supervised learning for multi-label image annotation, where classifiers' training is conducted using easily gathered Web data. Moreover, it takes advantage of both low-level visual features and high-level semantic information of given images. Experimental results using 0.507 million Web images database show effectiveness of the proposed framework over existing method.","PeriodicalId":173600,"journal":{"name":"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129898161","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}
引用次数: 6
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