• The Transactions of the Korea Information Processing Society
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• v.1 no.1
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• pp.99-104
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• 1994

This paper proposes the method to process many pattern data 2-dimensionally at high speed in designing the physical of LSI. And this study shows that the switching network,which transmits pattern data between memory and processing elements at high speed on bidirection,has been designed using the barrel shifter and simulated with VHDL design system.

• The Transactions of the Korea Information Processing Society
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• v.7 no.3
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• pp.1025-1031
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• 2000

Pre-existing pattern recognition techniques, in the case of character recognition, have limited on the application field. But CAI character learning system and writer's recognition system are very important parts. The application field of pre-existing system can be expanded in the content that the learning of characters and the recognition of writers in the proposed paper. In order to achieve these goals, the development contents are the following: Firstly, pre-processing method by understanding the image structure is proposed, secondly, recognition of characters are accomplished b the histogram distribution characteristics. Finally, similarity measure functions are defined from standard character pattern for matching of the input character pattern. Also the effectiveness of this system is demonstrated by experimenting the standard primitive image.

• The Transactions of the Korea Information Processing Society
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• v.1 no.2
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• pp.272-278
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• 1994

The paper proposes a test pattern generator and a signature analyzer for pseudoexhaustive testing of the combinational circuit part within a sequential circuit when performing built-in self test of the circuit. The test pattern generator can scan in the seed test pattern and generate exhaustive test patterns. The signature analyzer can perform the analysis of the circuit response and scan out the result. Such test pattern generator and signature analyzer have been developed using SRL(shift register latch) and LFSR(linear feedback shift register).

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.3
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• pp.215-220
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• 2002

This paper proposes a method to apply the Backpropagation(BP) algorithm of MVL(Multi-Valued Logic) Neural Network to pattern recognition. It extracts the property of an object density about an original pattern necessary for pattern processing and makes the property of the object density mapped to MVL. In addition, because it team the pattern by using multiple valued logic, it can reduce time f3r pattern and space fer memory to a minimum. There is, however, a demerit that existed MVL cannot adapt the change of circumstance. Through changing input into MVL function, not direct input of an existed Multiple pattern, and making it each variable loam by neural network after calculating each variable into liter function. Error has been reduced and convergence speed has become fast.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.167-168
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• 2012

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11c
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• pp.1539-1542
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• 2003

최근 소프트웨어 개발에서의 핵심어인 객체지향(object oriented)은 1970년대 초부터 중요하게 인식 되기 시작했다. 현재는 객체지향에 대한 많은 관련 연구를 통하여 그 활용범위가 증대되고 있다. 본 연구에서는 객체지향 연구의 한 부분인 디자인 패턴 중에서 많이 이용되는 Iterator(Cursor) Pattern을 활용하여 닷넷(.NET) 기반에서의 특정 비즈니스를 위한 데이터 접속 객체를 연구하였다.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.643-652
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• 2017

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.10
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• pp.2632-2649
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• 2012

Most approaches to human action recognition is limited due to the use of simple action datasets under controlled environments or focus on excessively localized features without sufficiently exploring the spatio-temporal information. This paper proposed a framework for recognizing realistic human actions. Specifically, a new action representation is proposed based on computing a rich set of descriptors from keypoint trajectories. To obtain efficient and compact representations for actions, we develop a feature fusion method to combine spatial-temporal local motion descriptors by the movement of the camera which is detected by the distribution of spatio-temporal interest points in the clips. A new topic model called Markov Semantic Model is proposed for semantic feature selection which relies on the different kinds of dependencies between words produced by "syntactic " and "semantic" constraints. The informative features are selected collaboratively based on the different types of dependencies between words produced by short range and long range constraints. Building on the nonlinear SVMs, we validate this proposed hierarchical framework on several realistic action datasets.

• The Korea Journal of Herbology
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• v.20 no.4
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• pp.133-140
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• 2005

Objectives : We have been used many herbal medicines after processing to improve the effect, decrease toxicity and side-effect, and change property. We have studied the physico-chemical change and HPLC pattern of Morindae Radix by means of processing method. Methods : This study was investigated the contents of loss on drying, residue on ignition, residue on acid insoluble ignition, 50% ethanol extract and HPLC pattern of Morindae Radix(Morinda officinalis How.) by processed and non-processed. We have conducted Morindae Radix and Damnacanthi Radix which is circulated in herbal medicine market by forgery. Processed Morindae Radix was prepared by heating of added to salt(SP), liquor(LP) and Glycyrrhizae Radix solution(GP) for 20-40 minutes. Results and Conclusions : From this analysis, we found that the content of 50% ethanol extract was increased by processing method. And we were detected distinguishable marker of processed and non-processed from Morindae Radix(Morinda officinalis How.) by HPLC pattern analysis.

• The Journal of Information Technology
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• v.7 no.2
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• pp.43-54
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• 2004

Since Dr. John J. Hopfield has proposed the HOpfield network, it has been widely applied to the pattern recognition and the routing optimization. The method of Jian-Hua Li improved efficiency of Hopfield network which input pattern's weights are regenerated by SVD(singluar value decomposition). This paper deals with Li's Hopfield Network by linear pre-processing. Linear pre-processing is used for increasing orthogonality of input pattern set. Two methods of pre-processing are used, Hadamard method and random method. In manner of success rate, radom method improves maximum 30 percent than the original and hadamard method improves maximum 15 percent. In manner of success time, random method decreases maximum 5 iterations and hadamard method decreases maximum 2.5 iterations.