• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.6
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• pp.781-788
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• 1999

In this paper, an expert system is proposed, which can be effectively applied to the large-scale systems with the diversity time constraints, the objectives and the unfixed system structure. The inference scheme of the expert system have the integrated structure composed of the intuitive inference module and logical inference module in order to support effectively the operating constraints of system. The intuitive inference module is designed using the pattern matching or pattern recognition method in order to search a same or similar pattern under the fixed system structure. On the other hand, the logical inference module is designed as the structure with the multiple inference mode based on the heuristic search method in order to determine the optimal or near optimal control strategies satisfing the time constraints for system events under the unfixed system structure, and in order to use as knowledge generator. Here, inference mode consists of the best-first, the local-minimum tree, the breadth-iterative, the limited search width/time method. Finally, the application results for large-scale distribution SCADA system proves that the inference scheme of the expert system is very effective for the large-scale system. The expert system is implemented in C language for the dynamic mamory allocation method, database interface, compatability.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.11
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• pp.5605-5623
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• 2016

We propose a face recognition method that utilizes the LCP face descriptor. The proposed method applies a LoG mask to extract a face contour response, and employs the LCP algorithm to produce a binary pattern representation that ensures high recognition performance even under the changes in illumination, noise, and aging. The proposed LCP algorithm produces excellent noise reduction and efficiency in removing unnecessary information from the face by extracting a face contour response using the LoG mask, whose behavior is similar to the human eye. Majority of reported algorithms search for face contour response information. On the other hand, our proposed LCP algorithm produces results expressing major facial information by applying the threshold to the search area with only 8 bits. However, the LCP algorithm produces results that express major facial information with only 8-bits by applying a threshold value to the search area. Therefore, compared to previous approaches, the LCP algorithm maintains a consistent accuracy under varying circumstances, and produces a high face recognition rate with a relatively small feature vector. The test results indicate that the LCP algorithm produces a higher facial recognition rate than the rate of human visual's recognition capability, and outperforms the existing methods.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.986-1016
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• 2019

Mobile user interface pattern (MUIP) is a kind of structured representation of interaction design knowledge. Several studies have suggested that MUIPs are a proven solution for recurring mobile interface design problems. To facilitate MUIP selection, an effective clustering method is required to discover hidden knowledge of pattern data set. In this paper, we employ the semi-supervised kernel fuzzy c-means clustering (SSKFCM) method to cluster MUIP data. In order to improve the performance of clustering, clustering parameters are optimized by utilizing the global optimization capability of particle swarm optimization (PSO) algorithm. Since the PSO algorithm is easily trapped in local optima, a novel PSO algorithm is presented in this paper. It combines an improved intuitionistic fuzzy entropy measure and a new population search strategy to enhance the population search capability and accelerate the convergence speed. Experimental results show the effectiveness and superiority of the proposed clustering method.

• Journal of Sasang Constitutional Medicine
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• v.26 no.1
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• pp.45-54
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• 2014

Objectives This research was proposed to present Clinical Practice Guideline(CPG) for Soeumin Disease of Sasang Constitutional Medicine(SCM): Greater Yin Symptomatology. This CPG was developed by the national-wide experts committee consisting of SCM professors. Methods First, it was performed that search and collection of literature related SCM such as "Dongeuisusebowon", Textbook of SCM, Clinical Guidebook of SCM and Fundamental research to standardize diagnosis of Sasang Constitutional Medicine. And journal search related clinical trial or Human complementary medicine of SCM was performed domestic and overseas. Finally, 1 article was selected and included in CPG for Greater Yin Symptomatology of Stomach Cold-based Interior Cold disease in Soeumin disease. Results & Conclusions CPG of Greater Yin symptomatology in Soeumin Disease include classification, definition and standard symptoms of each pattern. Greater Yin symptomatology is classified into mild and moderate pattern by severity. Greater Yin Symptomatology Mild pattern is classified into Greater Yin Symptomatology accompanied abdominal pain and bowel irritability and Greater Yin pattern accompanied Epigastric stuffiness and fullness. And Greater Yin Symptomatology moderate pattern is classified into Greater Yin pattern accompanied Jaundice, Greater Yin pattern accompanied Edema and Greater Yin pattern by Yin toxin.

• Journal of Sasang Constitutional Medicine
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• v.26 no.1
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• pp.27-36
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• 2014

Objectives This research was proposed to present Clinical Practice Guideline(CPG) for Soeumin Disease of Sasang Constitutional Medicine(SCM): Congestive Hyperpsychotic symptomatology. This CPG was developed by the national-wide experts committee consisting of SCM professors. Methods First, it was performed that search and collection of literature related SCM such as "Dongeuisusebowon", Textbook of SCM, Clinical Guidebook of SCM and Fundamental research to standardize diagnosis of Sasang Constitutional Medicine. And journal search related clinical trial or Human complementary medicine of SCM was performed domestic and overseas. Finally, no article was selected and included in CPG for Congestive Hyperpsychotic symptomatology of Kidney Heat-based Exterior Heat disease in Soeumin disease. Results & Conclusions CPG of Congestive Hyperpsychotic symptomatology in Soeumin Disease include classification, definition and standard symptoms of each pattern. Congestive Hyperpsychotic symptomatology is classified into mild and severe pattern by severity. Congestive Hyperpsychotic symptomatology mild pattern is classified into initial pattern. Congestive Hyperpsychotic symptomatology severe pattern is classified into intermediate and advanced pattern and Greater Yang disease Reverting Yin pattern.

• Journal of Sasang Constitutional Medicine
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• v.26 no.3
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• pp.251-261
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• 2014

Objectives This research was proposed to present Clinical Practice Guideline(CPG) for Soyangin Disease of Sasang Constitutional Medicine(SCM): Yin-Depletion (Mangeum) Symptomatology. The CPG was developed by the national-wide experts committee consisting of SCM professors. Methods The CPG was developed by the national-wide experts committee considering of the society of Sasang Constitutional Medicine. It was performed by search and collection of literature related SCM, opinion of SCM experts and journal search and it was followed by CPG's guideline. Results & Conclusions The CPG of Yin-Depletion (Mangeum) Symptomatology in Soyangin Disease include classification, definition and standard symptoms of each pattern. Yin-Depletion (Mangeum) Symptomatology is classified into severe and critical pattern by severity. The severe pattern of Yin-Depletion (Mangeum) Symptomatology is classified into the pattern of Heat-related diarrhea accompanied by headache (Sinyeol-dutong Mangeum) and the advanced pattern of Heat-related diarrhea accompanied by headache (Sinyeol-dutong Mangeum). The critical pattern of Yin-Depletion (Mangeum) Symptomatology is classified into the pattern of Cold-related diarrhea accompanied by the abdominal pain (Sinhan-bocktong Mangeum) and the advanced pattern of Cold-related diarrhea accompanied by abdominal pain (Sinhan-bocktong Mangeum).

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.77-85
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• 2006

There is the spatial correlation of the video sequence between the motion vector of current blocks. In this paper, we propose the enhanced fast block matching algorithm using the spatial correlation of the video sequence and the center-biased properly of motion vectors. The proposed algorithm determines an exact motion vector using the predicted motion vector from the adjacent macro blocks of the current frame and the Cross-Hexagonal search pattern. From the of experimental results, we can see that our proposed algorithm outperforms both the prediction search algorithm (NNS) and the fast block matching algorithm (CHS) in terms of the search speed and the coded video's quality. Using our algorithm, we can improve the search speed by up to $0.1{\sim}38%$ and also diminish the PSNR (Peak Signal Noise Ratio) by at nst $0.05{\sim}2.5dB$, thereby improving the video qualify.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.4D
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• pp.555-561
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• 2009

In lieu of section profile data, a fitting of the bored tunnel shape is more significant confirmation for maintenance of a tunnel. Before the permit on the completion of a tunnel, deformation of the completed tunnel with respect to the design model are considered. And deformation can be produced at continuously along the entire of the tunnel section. This study firstly includes an analysis of algebraic approach and test it with an observed field data. And then a number of methods, line search method, genetic algorithm, and pattern search methods, are compared with the 3D tunnel shape fitting. Algebraic methods can solve a simple circular cylinder type as like a railway tunnel. However, a more complex model (compound circular curve and non circular) as like a highway tunnel has to be solved with soft computing tools in the cause of conditional constraints. The genetic algorithm and pattern search methods are computationally more intensive, but they are more flexible at a complex condition. The line search method is fastest, but it needs a narrow bounds of the initial values.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.4 s.310
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• pp.55-65
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• 2006

Most of fast block motion estimation algorithms reported so far in literatures aim to reduce the computation in terms of the number of search points, thus do not fit well with multimedia processors due to their irregular data flow. For multimedia processors, proper reuse of data is more important than reducing number of absolute difference operations because the execution cycle performance strongly depends on the number of off-chip memory access. Therefore, in this paper, we propose a Hexagon-shape line search (HEXSLS) algorithm using line search pattern which can increase data reuse from on-chip local buffer, and check sub-sampling points in line search pattern to reduce unnecessary SAD operation. Our experimental results show that the prediction error (MAE) performance of the proposed HEXSLS is similar to that of the full search block matching algorithm (FSBMA), while compared with the hexagon-based search (HEXBS), the HEXSLS outperforms. Also the proposed HEXSLS requires much lesser off-chip memory access than the conventional fast motion estimation algorithm such as the hexagon-based search (HEXBS) and the predictive line search (PLS). As a result, the proposed HEXSLS algorithm requires smaller number of execution cycles on media processor.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.7
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• pp.495-502
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• 2013

Motion estimation (ME) that limits the performance of image quality and encoding speed has been developed to reduce temporal redundancy in video sequences and plays an important role in digital video compression. But it is computational demanding part of the encoder. Multi-view video is obtained by capturing one three-dimensional scene with many cameras at different positions. ME for Multi-view video requires high computational complexity. To reduce computational complexity and maintain the image quality, a fast motion estimation method is proposed in this paper. The proposed method uses a hierarchical search strategy. This strategy method consists of modified diamond search patten, multi gird diamond search pattern, and raster search pattern. These search patterns place search points symmetrically and evenly that can cover the overall search area not to fall into the local minimum or exploits the characteristics of the distribution of motion vectors to place the search points. Experiment results show that the speedup improvement of the proposed method over TZ search method (JMVC) can be up to 1.2 ~3 times faster while maintaining similar video quality and bit rates.