• Proceedings of the Korea Information Processing Society Conference
• /
• 2016.10a
• /
• pp.569-570
• /
• 2016

본 논문은 뇌파 기반 감정 분류 기술의 상용화를 위한 낮은 성능을 보완하기 위하여 Regularized Common Spatial Pattern 필터링을 통한 전처리 방식을 제안하고 있다. RCSP 필터는 뇌파 기반 행동 인식 시스템에서 높은 성능 향상을 보이는 것으로 알려져 있다. 본 연구에서는 장기적이고 복합적인 뇌파의 감성 인지 연구에도 RCSP 필터의 적용 방법을 설명하고, 제안하는 알고리즘이 뇌파를 통한 감정 인식에 성능 향상을 보여준다는 것을 설명하고 있다.

• The Transactions of the Korea Information Processing Society
• /
• v.7 no.5
• /
• pp.1426-1433
• /
• 2000

As distributed computing systems become popular, many modeling techniques and methods have been developed in specify the specification formally and verify the distributed/concurrent sytems. In spite of importance of communication in distributed object-oriented systems, specifying of communication method generally has not been emphasized in the design phase. One reason is due to the system designer misunderstanding, that is, a specification needs to be independent on the implementation. However, since defining communication pattern indistributed object-oriented systems is more serious than the required message passing method in the design phase. specifying the communication pattern is necessary instead of postponing until the implementation. In this paper, two formal specification techniques, temporal logic method and Petri nets method, for the communication in distributed systems are discussed. One is based on the temporal logic, which specifies the different patterns of primitive predicates. This method enable to define the underlying mechanism which can be interpreted as constraints. The Petri net method helps to specify the dynamic behavior of communicational patterns using the properties of Petri nets.

• Journal of the Institute of Convergence Signal Processing
• /
• v.2 no.2
• /
• pp.111-118
• /
• 2001

In this paper, in order to implement the multi-layered perceptron neural network using pure digital logic circuit model, we propose the new logic neuron structure, the digital canonical multi-layered logic neural network structure, and the multi-stage multi-layered logic neural network structure for pattern recognition applications. And we show that the proposed approach provides an incremental additive learning algorithm, which is very simple and effective.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 2000.11a
• /
• pp.375-389
• /
• 2000

Fuzzy logic ignores some information in the reasoning process. Neural networks are powerful tools for the pattern processing, but, not appropriate for the logical reasoning. To model human knowledge, besides pattern processing capability, the logical reasoning capability is equally important. Another new neural network called neural logic network is able to do the logical reasoning. Because the fuzzy inference is a fuzzy logical reasoning, we construct fuzzy inference network based on the neural logic network, extending the existing rule- inference. network. And the traditional propagation rule is modified. For the search strategies to find out the belief value of a conclusion in the fuzzy inference network, we conduct a simulation to evaluate the search costs for searching sequentially and searching by means of search priorities.

• Journal of Information Processing Systems
• /
• v.9 no.4
• /
• pp.660-677
• /
• 2013

The blending of defective texture with the ambience texture results in camouflage. The gray value or color distribution pattern of the camouflaged images fails to reflect considerable deviations between the camouflaged object and the sublimating background demands improved strategies for texture analysis. In this research, we propose the implementation of an initial enhancement of the image that employs line masks, which could result in a better discrimination of the camouflaged portion. Finally, the gray value distribution patterns are analyzed in the enhanced image, to fix the camouflaged portions.

• Proceedings of the KIEE Conference
• /
• 1998.11b
• /
• pp.481-483
• /
• 1998

In general, spatial filtering method was proposed to simplify measurement system through parallel Processing hardware. Spatial filtering is a method of detection that we can get a spatial pattern information, as we process a special space pattern, to say, as we process spatial parallel process by using the spatial weighting function. The important processing characteristics will be depended in according to how ire design a spatial weighting function, a spatial sensitive distribution. The form of the weighting function which is realized from the generally used spatial filtering is fixed and the weighting value was already became a binary-value. In this paper, we propose a new method in order to construct adaptive measurement systems. This method is a weighting function design to make multi-valued and variable.

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.3
• /
• pp.812-820
• /
• 1999

In two-dimensional dictionary matching problem, we are given a two-dimensional text T and a dictionary D={P\ulcorner, ...., P\ulcorner} as a set of two-dimensional patterns. We seek the locations of all the dictionary patterns that appear in T. We present a new two-dimensional pattern matching algorithm that can handle just a single pattern, and then show how to extend it into two-dimensional dictionary matching algorithm. The suggested algorithm is practical in the sense that it can deal that it uses a small extra space proportional to the size of the dictionary, and that it is quite simple to be implemented without depending on complicated data structures.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2001.10a
• /
• pp.801-804
• /
• 2001

This article is concerned with automatic segmentation of two adjacent vowels for speech signals. All kinds of transition case of adjacent vowels can be characterized by spectrogram. Firstly the voiced-speech is extracted by the histogram analysis of vowel indicator which consists of wavelet low pass components. Secondly given phonetic transcription and transition pattern spectrogram, the voiced-speech portion which has consecutive vowels automatically segmented by the template matching. The cross-correlation function is adapted as a template matching method and the modified correlation coefficient is calculated for all frames. The largest value on the modified correlation coefficient series indicates the boundary of two consecutive vowel sounds. The experiment is performed for 154 vowel transition sets. The 154 spectrogram templates are gathered from 154 words(PRW Speech DB) and the 161 test words(PBW Speech DB) which are uttered by 5 speakers were tested. The experimental result shows the validity of the method.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2001.10a
• /
• pp.437-440
• /
• 2001

현재 소프트웨어 개발 생산성과 품질을 개선하기 위해 컴포넌트 재사용에 관한 연구가 활발히 이루어지고 있으며, 특히 분산 개발 환경에서 팀 개발의 생산성을 향상시키기 위한 컴포넌트 재사용 방법이 연구되고 있다. 그러나, 이들 컴포넌트들을 효과적으로 개발, 공유, 관리하기 위한 방안이 부족한 상황이다. 따라서, 본 논문에서는 컴포넌트의 재사용성을 최대화하기 위하여 반복적 설계 문제를 해결하기 위한 구조를 갖고 있는 디자인 패턴을 대상으로 하는 공유 가능한 디자인 패턴 기반의 컴포넌트 개발 시스템을 제안하였다. 본 논문에서 제안하는 DPCM(Design Pattern Component Modeling) 도구는 추상적인 디자인 패턴 구조와 구체적인 컴포넌트 구조를 저장하기 위해 각각 별도의 Library를 구축한다. 그리고, 두 Library 사이에는 패턴 구조를 특정 애플리케이션에 적합하게 구체화하는 과정을 시각적으로 모델링 하며, 구체적인 구현 코드와 함께 COM 사양의 컴포넌트로 변환한다. 본 논문에서는 개발자들이 애플리케이션 개발에 필요한 컴포넌트를 제공 받을 수 있는 디자인 패턴 기반의 소프트웨어 컴포넌트 개발 도구의 방향을 제시하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2003.11c
• /
• pp.1985-1988
• /
• 2003

As the Distributed Denial of Service attack technique is getting smarter, defense method have been developed by various means. Existing defense method baseds on detection technique is not effective to DDoS attack. Because it depend on rule set that is used to detect attack and DDoS attack pattern has become very similar to real traffic pattern. So the rule set is not efficient method to find DDoS attack. To solve this problem, DDoS defense mechanism based on QoS technique has been suggested. In this paper, we summarize existing DDoS defense mechanism and focus on method based on QoS, and introduce a new DDoS defense framework.