• 한국정보전자통신기술학회논문지
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• 제3권1호
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• pp.13-18
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• 2010

본 연구에서는 ECG를 통하여 심박수를 R-R 간격을 이용한 방법으로 자동 추출하는 방법에 관하여 연구하였다. 육안으로 측정한 심박수를 기준으로, 2차 미분을 이용하여 심박수를 추출하는 방법, 자기상관함수를 이용하여 심박수를 추출하는 방법을 비교하여 고찰하였다. 실험 데이터는 MIT/BIH database를 이용하였다. 이를 바탕으로 직접 ECG 측정기를 제작하여 심박수를 자동 측정하여 보고 기존의 환자감시장치(ICU)와 비교하여 보았다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.721-725
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• 2004

Multiple-count problem is occurred when rectangle objects span across several buckets. The Cumulative Density (CD) histogram is a technique which solves multiple-count problem by keeping four sub-histograms corresponding to the four points of rectangle. Although it provides exact results with constant response time, there is still a considerable issue. Since it is based on a query window which aligns with a given grid, a number of errors may be occurred when it is applied to real applications. In this paper, we proposed selectivity estimation techniques using the generalized cumulative density histogram based on two probabilistic models: (1) probabilistic model which considers the query window area ratio, (2) probabilistic model which considers intersection area between a given grid and objects. In order to evaluate the proposed methods, we experimented with real dataset and experimental results showed that the proposed technique was superior to the existing selectivity estimation techniques. The proposed techniques can be used to accurately quantify the selectivity of the spatial range query on rectangle objects.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2006년도 정기 학술대회 논문집
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• pp.89-96
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• 2006

Nondestructive evaluation using surface waves needs an analytical solution for the reference value to compare with experimental data. Finite element analysis is very powerful tool to simulate the wave propagation, but has some defects. It is very expensive and high time-complexity for the required high resolution. For those reasons, it is hard to implement an optimization problem in the actual situation. The developed engine in this paper can substitute for the finite element analysis of surface waves propagation, and it accomplishes the fast analysis possible to be used in optimization. Including this artificial intelligence engine, most of soft computing algorithms can be applied on the special database. The database of surface waves propagation is easily constructed with the results of finite element analysis after reducing the dimensions of data. The principal wavelet-component analysis is an efficient method to simplify the transient wave signal into some representative peaks. At the end, artificial neural network based on the database make it possible to invent the artificial intelligence engine.

• 한국멀티미디어학회논문지
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• 제9권6호
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• pp.720-727
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• 2006

In this paper, we propose a method which allows the SuperSQL query processor to share as much code as possible among various, generators, each of which is responsible for the output of a certain medium. SuperSQL is an enhanced query-processing system that converts database records into a variety of formats such as XML, HTML, PDF and etc. However, the existing SuperSQL media generator would require creation of a different processor for each medium, causing duplicated development cost. This research makes three main contributions: First, it analyzes the structures of various media, examining any possibility of integration based on their common structure. Second, it also facilitates the addition of a new output media generator by separating constructors and decorators from each medium. Last, it provides an integrated user interface to each media by method of the Media Abstraction Table Concept. We also show the performance and feasibility of our system using experimental results.

• Journal of Information Processing Systems
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• 제12권3호
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• pp.381-391
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• 2016

The Joint Bayesian (JB) method has been used in most state-of-the-art methods for face verification. However, since the publication of the original JB method in 2012, no improved verification method has been proposed. A lot of studies on face verification have been focused on extracting good features to improve the performance in the challenging Labeled Faces in the Wild (LFW) database. In this paper, we propose an improved version of the JB method, called the two-dimensional Joint Bayesian (2D-JB) method. It is very simple but effective in both the training and test phases. We separated two symmetric terms from the three terms of the JB log likelihood ratio function. Using the two terms as a two-dimensional vector, we learned a decision line to classify same and not-same cases. Our experimental results show that the proposed 2D-JB method significantly outperforms the original JB method by more than 1% in the LFW database.

• JSTS:Journal of Semiconductor Technology and Science
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• 제9권1호
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• pp.67-74
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• 2009

Monte Carlo simulation is widely used for predicting ion implantation profiles in amorphous targets. Here, we compared Monte Carlo simulation results with a vast database of ion implantation secondary ion mass spectrometry (SIMS), and showed that the Monte Carlo data sometimes deviated from the experimental data. We modified the electron stopping power model, calibrated its parameters, and reproduced most of the database. We also demonstrated that Monte Carlo simulation can accurately predict profiles in a low energy range of around 1keV once it is calibrated in the higher energy region.

• Journal of Electrical Engineering and Technology
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• 제13권1호
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• pp.485-492
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• 2018

In this paper, we propose facial expression recognition using CNN (Convolutional Neural Network), one of the deep learning technologies. The proposed structure has general classification performance for any environment or subject. For this purpose, we collect a variety of databases and organize the database into six expression classes such as 'expressionless', 'happy', 'sad', 'angry', 'surprised' and 'disgusted'. Pre-processing and data augmentation techniques are applied to improve training efficiency and classification performance. In the existing CNN structure, the optimal structure that best expresses the features of six facial expressions is found by adjusting the number of feature maps of the convolutional layer and the number of nodes of fully-connected layer. The experimental results show good classification performance compared to the state-of-the-arts in experiments of the cross validation and the cross database. Also, compared to other conventional models, it is confirmed that the proposed structure is superior in classification performance with less execution time.

• Mycobiology
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• 제35권3호
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• pp.154-156
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• 2007

A database application, namely MushBase, has been built based on Microsoft Access in order to store and manage different kinds of data about mushroom biological information of species, strains and their physiological characteristics such as geometries and growth condition(s). In addition, it is also designed to store another group of information that is experimental data about mushroom classification by Random Amplification of Polymorphic DNA (RAPD). These two groups of information are stored and managed in the way so that it is convenient to retrieve each group of data and to cross-refer between them as well.

• 한국정밀공학회지
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• 제11권1호
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• pp.219-229
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• 1994

This paper describes an expert system on the cylindrical grinding operations in order to establish the optimum grinding conditions, which satisfy the maximum removal rates, considering the several constraints of grinding power, workpiece burn, chatter vibration and surface roughness. Specialized knowledge of the grinding operations are acquired from the actual operation database. Coefficientis in the experimental equations are obtaines through the fuzzy regression model based on the fuzzy set theory, and are stored in the actual operation database. The developed system is capable of determining the optimum grinding conditions taking into account some problems, and practical examples of implementaion are described.

• 한국정보처리학회논문지
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• 제6권11호
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• pp.2911-2921
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• 1999

본 논문에서는 SGML 문서의 효율적인 검색을 위한 방법론을 제안한다. 이를 위하여 메타 데이터, 색인 범위, 엘리먼트 이롬의 재정의, 그리고 데이터베이스 생성에 관한 정보를 기술할 수 있는 언어로 IDDL을 정의한다. 또한 메타 데이터와 구조에 대한 복합 질의를 효과적으로 표현할 수 있는 질의 언어인 IDQL을 제안한다. 본 논문에서는 제안된 방법론의 유효성을 입증하기 위하여 IDDL과 IDQL에 기반한 검색시스템을 개발하였으며 이를 상이한 구조의 대용량의 문서 집합에 실험하였다. 그 결과, 제안된 방법론은 데이터베이스를 동적으로 구성하며 사용자에게 편리한 검색 환경을 제공하였다.