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The 2D or 3D displacement measurement is required in the vibration testing for the scenic technology because of the complex loading conditions. However, there is no convenient 2D displacement measurement. In this research, 2D displacement measurement with real time image processing is developed. The target of camera image is a lattice pattern drawn on the paper sheet.
Fashion is one of the most important factors in our lives. A lot of people enjoy their fashion. On the other hand, they are not confident about their fashion coordination. Especially, it is a very worrisome problem to purchase a new fashion item that suits to their clothing. In this paper, we propose an image-retrieval-based system for supporting a person's fashion coordination and purchase of new...
Previous works have analyzed the cluster organization of the cat cortical network using both traditional multidimensional scaling methods and evolutionary optimization algorithms. Interestingly, the evolutionary optimization principle of previous works is based on the modularity measure used to find communities in network with global algorithms. In this paper, we deepen this point taking into account...
Education builds culture of human for many years. The method of education has been developed from oral communication and textbook to broadcasting and e-learning. According to development, children have become to be free for place, time and teacher who gives some advice. On the other hand, the opportunities that children contact with real things and experience is getting decrease. Generally speaking,...
Until recently all the works done on community detection in complex networks have only consider static networks: a snapshot of the network is taken at a particular time. The communities are then computed on that constructed network. Because real networks are dynamic by nature, investigations on community detection in dynamic networks have started these last years. One problem actually unexplored in...
We propose an efficient framework for combining pixel and object-based approaches for Remote Sensing Image Classification using Support Vector Machines (SVMs) and Dempster-Shafer Theory of Evidence (DSTE). The pixel-based technique employs the multispectral information for assigning a pixel to a class according to the spectral similarities between the classes, and the object-based technique operates...
In this paper, we introduce a two-stage recognition process for classification of 164 classes of mixing of printed Thai and English characters. Various structural features based on image ratios, image projections, outer boundaries, Pyramid Histogram of Oriented Gradients (PHOG) are extracted from images. In the first stage, Fuzzy C Mean Clustering (FCM) is applied to create prototypes of every character...
In this paper, we present the details of a video processing system that combines the advantages of Film Patterned Retarder LED/LCD display technology and an FPGA based 3D formatter with enhanced, superior video processing techniques such as formatting, color correction and 3D video depth adjustment. The system includes hardware and software implementation which is designed to process stereoscopic...
A conventional approach to image analysis is to perform separately feature extraction at a low level (such as edge detection) and follow this with high level feature extraction to determine structure (e.g. by collecting edge points using the Hough transform. The original image Ray Transform (IRT) demonstrated capability to extract structures at a low level. Here we extend the IRT to add shape specificity...
Frequency estimation for complex sinusoid is a fundamental problem in signal processing. A simple and effective way is to directly interpolate the discrete Fourier transform coefficients around the peak of the magnitude spectrum. The shortcoming of this method is the non-uniform estimation bias across the frequency. This paper theoretically analyzes the estimation bias for some of the most popular...
Visual information on the web, in particular in form of images, is increasing at a rapid rate. Consequently, efficient and effective techniques to retrieve visual information are sought after, especially since users rarely annotate images. In this paper, we present a very fast method for content-based image retrieval of JPEG compressed images. Our method works directly in the compressed domain of...
QR code is the commonly used two-dimensional (2D) barcode recently with the advantages of larger QR content and error correction capability. Based on the error correction property of QR code, we designed a secret hiding technique for QR barcode. The proposed scheme can conceal the secret data into the cover QR code without distorting the readability of QR content. That is, general browsers can read...
We are interested in using purely network-based techniques to assist in matching instances across databases that can be represented as complex networks. In particular we are interested in the individuality of the influence neighbourhood of a node (the sub graph induced by its in-neighbours) in a directed network. We derive a paper citation network from the archived Cite Seer database and use this...
Many real networks exhibit strongly-skewed, heavy-tailed degree distributions, one of the indicators of so-called `complex' networks, and there is a lot of current research in this area. Much of this research requires the generation of random graphs with the same degree distribution as one another, and it is important that these random graphs should be sampled from the space of all graphs with that...
The inherent structure of the power grid deeply influences its secure functioning and stability. As power grids move towards becoming 'smarter' with increased demand response and decentralized control, the topological aspects of the grid have become even more important. Understanding the topology can thus lead to better strategies to control the smart grid as well as enable rapid identification and...
This paper analyses high dimensional correlation structure of Japanese stocks to find a more data-oriented and flexible grouping than the Japan standard sector classification for better portfolio risk management. Modularity maximization and spectral clustering are employed to recursively divide GARCH filtered stock returns into subgroups. The standard sector classification is proved to be valid for...
Though customer databases are so important, they can be sold under 95/46/EC and Data Protection Act law. This is a potential business. However, this business are encountering a big problem that purchaser wants to illegally distribute his database. We call them attacker. Attacker can use many schemes such as attribute, collusion and complimentary attack to achieve his goal. We have improved the technique...
Automated Trust Negotiation (ATN) is a mechanism to establish mutual trust between service providers and users in an open network environment like the Internet. In this paper, we propose Bidirectional Private Policy Matching based on Additively Homomorphic Encryption Systems(BPPM/AHES) as an ATN negotiation protocol where uni-directional private policy matching based on additively homomorphic encryption...
The multimodal biometric which is a combination of two or more modalities of biometric is able to give more assurance for the securities of some systems. Feature level fusion has been shown to provide higher-performance accuracy and provide a more secure recognition system. In this paper, we propose a feature level fusion of face features which are the physical appearance of a person in image-based...
The Ant Clustering Algorithm (ACA) is a biological inspired data clustering technique, which aimed to cluster and classify the data patterns into different groups. This paper shows how the Ant Clustering Algorithm (ACA) is implemented in clustering and classifying the tropical wood species. As for feature extraction in this research, two feature extractors are selected to extract wood features from...
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