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Fuzzy Fusion for Affective State Assessment in Distance Learning Based on Image Detection

Fuzzy Fusion for Affective State Assessment in Distance Lear...

引用

2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

作者： Kuoan Hwang Chiahao Yang Department of Computer Science and Information Engineering & Graduate Institute of Networking and Co Graduate Institute of Informatics Doctoral program Chaoyang University of Technology

Distance learning is a learning style that can overcome the limitation of time and space. Because of the distance, teachers can not handle the student's learning situation, and they do not know whether the student is attentive, drowsy or absent. If teachers can know the student's affective state, they can overcome the difficult. The research applies the image recognition technologies to capture the face images of students when they are learning and analyzes their face features to evaluate the student's affective state by Fuzzy Integral. Finally, teachers can monitor the student's behavior by the detection results on the system interface.

关键词： Distance learning Skin computers Distance measurement Face Image color analysis Education

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Gait authentication using distributed source coding

Gait authentication using distributed source coding

引用

IEEE International Conference on Image Processing

作者： S. Argyropoulos D. Tzovaras D. Ioannidis M. G. Strintzis Informatics and Telematics Institute Centre for Research and Technology Hellas Greece Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Greece

A novel gait authentication scheme based on distributed source coding principles is proposed. Biometric recognition is formulated as a coding problem with noisy side information at the decoder and error correcting codes are employed for user authentication. The effective exploitation of the noise channel statistics in the decoding process improves performance. It is also shown that the proposed method increases the security of the stored biometric templates. Gait recognition is based on the extraction of depth data from human silhouettes and a set of discriminative features. The experimental results demonstrate the validity of the proposed method.

关键词： Authentication Source coding Biometrics Decoding Error correction codes Statistical distributions Data security Information security Data mining Humans

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A Progress Report and a Proposal: Interactivity in Ubiquitous Learning Enhanced by Virtual Tutors in e-Learning Contents

A Progress Report and a Proposal: Interactivity in Ubiquitou...

引用

IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing

作者： Toshiyuki Yamamoto Ryo Miyashita Department of Media Informatics Kanazawa Institute of Technology Japan Graduate Program in Information andComputer Engineering Kanagawa Institute of Technology Japan Graduate Program in Information and Computer Engineering Kanazawa Institute of Technology Japan

ISBN: (纸本)9780769531588;9780769534114

It is proposed in this session that the interactivity necessary in ubiquitous learning can be enhanced by the virtual tutor who mediates between the learner and the e-learning contents. Arousing students' intellectual curiosity and raising their motivation to learn are the two great goals for e-learning contents developers. It is supposed that the interaction in the communication between the teacher and his/her students in a regular classroom can be maintained in e-learning with the help of virtual tutor, which appears on the learning contents in a timely fashion to give learners advice, encouragement, reminders, and such. The session includes discussions to develop such a system making use of the most updated technology as well as demonstrations of such a system which has been experimented at department of Media informatics. It is proved that the learning environment where human interactivity is essential can be reconstructed in terms of the proposed virtual tutor. This paper presentation includes demonstrations of QED as well as a discussion of the importance of interactivity in ubiquitous e-learning.

关键词： Proposals Electronic learning Educational institutions computer networks computer displays Pervasive computing informatics Humans computer science education computer graphics

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Adaptive smooth multicast protocol for multimedia data transmission

Adaptive smooth multicast protocol for multimedia data trans...

引用

International Symposium on Performance Evaluation of computer & Telecommunication Systems SPECTS

作者： Christos Bouras Apostolos Gkamas Georgios Kioumourtzis Research Academic Computer Technology Institute University of Patras Rion Greece Research Unit 6 Research Academic Computer Technology Institute Patras Greece Department of Telecommunications Science and Technology of Peloponnesus University of Greece Rion Greece Computer Engineering and Informatics Department University of Patras Rion Greece

ISBN: (纸本)9781424434497

We introduce Adaptive Smooth Multicast Protocol (ASMP), for multimedia transmission over best-effort networks. The smoothness lays in the calculation and adaptation of the transmission rate, which is based on dynamic estimation of protocol parameters and dynamic adjustment of the ldquosmoothness factorrdquo. ASMP key attributes are: (a) adaptive scalability to large sets of receivers, (b) TCP-friendly behavior, (c) high bandwidth utilization, and finally (d) smooth transmission rates, which are suitable for multimedia applications. We evaluate the performance of ASMP and investigate its behavior under various network conditions through extensive simulations, conducted with the network simulator software (ns2).

关键词： Multicast protocols Data communication Bandwidth Scalability Transport protocols Telecommunication computing Application software informatics Paper technology Streaming media

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Building resilient classifiers for LSB matching steganography

Building resilient classifiers for LSB matching steganograph...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Rita Ferreira Bernardete Ribeiro Catarina Silva Qingzhong Liu Andrew H. Sung Department of Informatics Engineering CISUC University of Coimbra Portugal School of Technology and Management Polytechnic Institute of Leiria Portugal Department of Computer Science New Mexico Technology USA

One of the Internetpsilas hallmark is the rapid spread of the use of information and communication technology. This has boosted methods for hiding stego information inside digital cover content images which is a concerning issue in information security. On the other hand, attack of steganographic schemes has leveraged methods for steganalysis which is a challenging problem. In this paper, first we look at the design of classifiers, such as, support vector machines (SVM) and neural networks (RBF and MLP) which are able to detect the presence of least significant bit (LSB) matching steganography of gray scale images. Second, by combining with feature ranking methods (SVM-recursive feature elimination, Kruskal Wallis) and reduction techniques (PCA) pattern classification of stego is successfully achieved. It is of utmost importance to look at the large set of features extracted from images and find ranking methods able, namely, to exclude correlated and redundant features, avoid the curse of dimensionality or circumvent the need of the steganalyzer to be re-designed. Results show that desirable properties of robustness and resilience are attained by designing classifiers able to deal with redundancy and noise. Moreover, comparison of classifiers performance emphasizes the chosen model for the steganalyser.

关键词： Support vector machines Complexity theory Principal component analysis Artificial neural networks Feature extraction Kernel Training

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Attentiveness Assessment in Learning Based on Fuzzy Logic Analysis

Attentiveness Assessment in Learning Based on Fuzzy Logic An...

引用

International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Kuo-An Hwang Chia-Hao Yang Department of Computer Science and Information Engineering & Graduate Institute of Networking and CommunicationEngineering ChaoYang University of Technology Taiwan Graduate Institute of Informatics Doctoral program ChaoYang University of Technology Taiwan

Learner attention affects learning efficiency. However, in many classes, teachers cannot assess the degree of attention of every student. When a teacher is capable of addressing inattentive students immediately, he can avoid situations in which students are inattentive. Many studies have analyzed student attentiveness by the applying of image detection technologies. If this mechanism can be applied to in-class learning, it will help teachers keep students attentive, and reduce teacher load during class. This study mainly applies fuzzy logic analysis of student facial images when participating in class. Applying fuzzy logic can prevent erroneous judgments associated with a single term, and help teachers deal with student attentiveness.

关键词： Fuzzy logic Face detection Image analysis Image color analysis Education Eyes Design engineering Chaotic communication Image processing Face recognition

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Fast Power-Up Active Link Protection in Autonomous Distributed Transmitter Power Control

Fast Power-Up Active Link Protection in Autonomous Distribut...

引用

International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Savvas Gitzenis Nicholas Bambos The Center of Research and Technology Informatics and Telematics Institute Greece Department of Computer & Communication Engineering University of Thessally Greece Electrical Engineering Department and Management Science and Engineering Department University of Stanford USA

ISBN: (纸本)9781424422012

In this work, we propose an enhancement to the DPC/ALP (distributed power control with active link protection) algorithm that allows fast power ramp-up without compromising the ALP guarantee. The original DPC algorithm was first augmented with ALP to provide absolute performance guarantees. The basis of active link protection lies on constraining the rate of the new links' transmission power increase during the admission process, inducing a trade-off between the duration of the admission process and the network capacity reserved for absorbing the SINR fluctuations. Thus, to minimize the capacity loss, power-up should be slow, prolonging admission delay. In the new scheme, the power-up is accelerated when congestion is low, via test transmissions. Specifically, pairs of mini slots are interleaved between payload-carrying slots. In the first mini- slot, a link has the opportunity to carry out a test transmission in the wireless channel at an arbitrarily high power level, greater than what DPC/ALP allows. The purpose of this test transmission is to communicate the desired transmission power to the other links in the network neighborhood. The latter respond in the second mini-slot, indicating their distress if the first mini-slot transmissions generated excessive interference to their receivers. The absence of transmission at the second mini-slot signifies that no link has opposed, thus the link is free to use the first mini-slot's high power level in their subsequent slots, realizing the fast power ramp up. In contrast, if a transmission is sensed in the second mini-slot (emanating from one or more links in distress - typical under network congestion, when links are closely packed), the power ramp up will revert to the standard increase of DPC/ALP.

关键词： Interference Signal to noise ratio Receivers Noise Gain Wireless sensor networks Transmitters

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3D facial expression recognition using swarm intelligence

3D facial expression recognition using swarm intelligence

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Iordanis Mpiperis Sotiris Malassiotis Vassilios Petridis Michael G. Strintzis Informatics and Telematics Institute Centre for Research and Technology Hellas Thessaloniki Greece Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

In this paper, we present a novel approach for 3D facial expression recognition which is inspired by the advances of ant colony and particle swarm optimization (ACO and PSO respectively) in the field of data mining. Anatomical correspondence between faces is first established using a generic 3D face model which is deformed elastically to match the facial surfaces. Surface points are then used as a basis for classification according to a set of classification rules, which are discovered by an ACO/PSO-based rule discovery algorithm. The performance of the proposed algorithm has been evaluated on the BU-3DFEDB facial expression database where a total recognition rate of 92.3% was achieved.

关键词： Face recognition Particle swarm optimization Deformable models Data mining Ant colony optimization Birds Space technology Psychology Prototypes informatics

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Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting

Steganalysis of multi-class JPEG images based on expanded Ma...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Qingzhong Liu Andrew H. Sung Bernardete M. Ribeiro Rita Ferreira Computer Science Department of New Mexico Institute of Mining and Technology Institute for Complex Additive Systems Analysis USA Computer Science Department of New Mexico Institute of Mining and Technology Institute for Complex Additive Systems Analysis Socorro NM USA Department of Informatics Engineering University of Coimbra Portugal

In this article, based on the Markov approach proposed by shi et al. , we expand it to the inter-blocks of the DCT domain, calculate the difference of the expanded Markov features between the testing image and the calibrated version, and combine these difference features and the polynomial fitting features on the histogram of the DCT coefficients as detectors. We reasonably improve the detection performance in multi-class JPEG images. We also compare the steganalysis performance among the feature reduction/selection methods based on principal component analysis, singular value decomposition, and Fisherpsilas linear discriminant.

关键词： Feature extraction Transform coding Discrete cosine transforms Testing Polynomials Kernel Artificial neural networks

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N-Most Interesting Closed Itemset Mining

N-Most Interesting Closed Itemset Mining

引用

International Conference on Convergence Information technology

作者： Panida Songram Veera Boonjing Department of Mathematics and Computer Science Faculty of Science King Mongkuts Institute of Technology Ladkrabang Software Systems Engineering Laboratory Bangkok Thailand Department of Computer Science Faculty of Informatics Mahasarakham University Mahasarakham Thailand

In this paper, we propose an efficient algorithm, NCLOSED, for mining the N k-closed itemsets with the highest supports for 1 up to a certain k max value. The algorithm adopts best-first search strategy to generate closed itemsets with highest remaining supports. It does not keep closed itemsets mined in main memory to ensure that they are really closed. This is because this algorithm can directly generate closed itemsets. Moreover, duplicated closed itemsets are detected and discarded from this algorithm.

关键词： Itemsets Data mining computer science Information technology Software systems Systems engineering and theory Laboratories Mathematics informatics Software algorithms

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