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Lossless data hiding is a newly developed topic in information security researches. With the term of 'lossless', secret information is embedded into original image with methods developed by researchers at the encoder, and marked image is produced. Correspondingly, at the decoder, users are capable of perfectly separating the embedded secret and original image from the marked image, based on the reasonable...
One of the interesting image processing applications is to detect and/or restore a damaged image. Because image damage would vary in different ways, a straightforward method is to use a program to represent the damage. Then, the type of artefact can be searched by applying programs to the original image and comparing with the target image. The run-time environment of a program is the structure of...
The paper proposes an application of Hybrid Taguchi-Genetic Algorithm (HTGA) on short-term reactive power dispatch scheduling. HTGA is an algorithm combining traditional genetic algorithm of powerful global search function with Taguchi algorithm of orthogonal array and signal to noise ratio data, to reduce iteration times and acquire a better near optimal solution. The reactive power scheduling is...
Sophisticated image processing is usually nonlinear and difficult to model. In addition to the conventional image processing tools, we need some alternatives to bridge the gap between low-level and semantic level computation. This paper presents an idea of image processing scheme. We transform an image into different representations; feed the representations to the proper cellular automaton (CA) components...
This paper proposes a fuzzy controller design using group-crossover particle swarm optimization (GCPSO) algorithm. The GCPSO uses a group-based framework for defining particle neighborhood topology and incorporating crossover operation into particle swarm optimization. The GCPSO dynamically forms different groups for selecting parents in crossover operations, particle updates and replacements. The...
In this paper, we propose a novel evolutionary computing method which is called quantum-inspired electromagnetism-like mechanism (QEM) to solve 0/1 knapsack problem. QEM is based on the electromagnetism theory and using the characteristic of quantum computing. It can rapidly and efficiently find out the optimal solution of combination optimization problem. We compare the conventional genetic algorithm...
As the hardware technology advances, the conventional software development approaches would not effective to conduct an efficient algorithm for run-time environments. The problem comes from the over-simplified hardware abstraction model in software development. The mismatch between the hardware model and the real hardware design should be compensated in designing an efficient algorithm. In this study,...
The water use struggle among different sectors is a serious water resource problem during the drought in Taiwan. The irrigational use water is frequently been transferred to industrial use water due to its lower economic value, although agriculture sector will be compensated from other water use sectors when water transfers occur, the reasonable amount of compensation is still controversial how to...
In this study, a data mining technique and a genetic algorithm are applied to an automatic course scheduling system to produce course timetables that best suit studentspsila and teacherspsila needs. Course scheduling in colleges and universities is a highly complicated task for satisfying multiple constraints. Conventional course scheduling is done mainly from the schoolpsilas point of view, such...
An X¯ chart with variable sample size and sampling interval (VSSI) has been shown superior to the traditional X¯ chart with fixed sample size and sampling interval. However, the VSSI chart is still costly when it is used for the prevention of defective products. As a result, some cost models were developed to express the long-run cost per hour of operating the VSSI chart and to gain insight into the...
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