• Journal of the Korean Society for Library and Information Science
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• v.38 no.4
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• pp.231-249
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• 2004

To develope a scheme of an efficient archival arrangement and management, this study, through the methodology in France which named 'archives' for the first time and produce the best qualified archivistes every year from ENC(Ecole Nationales des Charles) , has started the problem of the adjustment of terminology which must be basically established, the foundation and history of archives, and their kinds and characteristics in the view of periods, contents and materials. After, for the core of an efficient archival arrangement and management, the study goes on theoretical and practical sides : educational courses for archival studies in part, appraisal, selection and collection, arrangement, communication and valorization of archives in other part.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.34 no.11
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• pp.54-60
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• 2006

This paper discusses wheel offloading approaches of the COMS which has a single solar array system for the accommodation of the optical payloads. First of all, in an effort to reduce fuel consumption and reflect practical implementation point of view, thruster sets for wheel offloading are proposed based on numerical analyses taking into account the COMS configuration. In this analysis, it is assumed that the wheel offloading is conducted twice a day. Secondly, in order to evaluate the effectiveness of the proposed thruster sets, orbit simulations are conducted for several wheel offloading approaches and compared.

• Journal of the Korean Statistical Society
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• v.30 no.2
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• pp.179-192
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• 2001

When a statistical model has a hierarchical structure such as multilayer perceptrons in neural networks or Gaussian mixture density representation, the model includes distribution with unidentifiable parameters when the structure becomes redundant. Since the exact structure is unknown, we need to carry out statistical estimation or learning of parameters in such a model. From the geometrical point of view, distributions specified by unidentifiable parameters become a singular point in the parameter space. The problem has been remarked in many statistical models, and strange behaviors of the likelihood ratio statistics, when the null hypothesis is at a singular point, have been analyzed so far. The present paper studies asymptotic behaviors of the maximum likelihood estimator and the Bayesian predictive estimator, by using a simple cone model, and show that they are completely different from regular statistical models where the Cramer-Rao paradigm holds. At singularities, the Fisher information metric degenerates, implying that the cramer-Rao paradigm does no more hold, and that he classical model selection theory such as AIC and MDL cannot be applied. This paper is a first step to establish a new theory for analyzing the accuracy of estimation or learning at around singularities.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.135-139
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• 2009

In this paper we present INCUI, a user interface based on natural view of physical user interface of target devices and services in pervasive computing environment. We present a concept of Intuitively Natural and Consistent User Interface (INCUI) consisted of an image of physical user interface and a description XML file. Then we elaborate how INCUI template can be used to consistently map user interface components structurally and visually. We describe the process of INCUI mapping and a novel mapping method selection architecture based on domain size, types of source and target INCUI. Especially we developed and applied an extended LCS-based algorithm using prefix/postfix/synonym for similarity calculation.

• ETRI Journal
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• v.33 no.1
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• pp.99-109
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• 2011

This paper concerns a robust real-time voice activity detection (VAD) approach which is easy to understand and implement. The proposed approach employs several short-term speech/nonspeech discriminating features in a voting paradigm to achieve a reliable performance in different environments. This paper mainly focuses on the performance improvement of a recently proposed approach which uses spectral peak valley difference (SPVD) as a feature for silence detection. The main issue of this paper is to apply a set of features with SPVD to improve the VAD robustness. The proposed approach uses a weighted voting scheme in order to take the discriminative power of the employed feature set into account. The experiments show that the proposed approach is more robust than the baseline approach from different points of view, including channel distortion and threshold selection. The proposed approach is also compared with some other VAD techniques for better confirmation of its achievements. Using the proposed weighted voting approach, the average VAD performance is increased to 89.29% for 5 different noise types and 8 SNR levels. The resulting performance is 13.79% higher than the approach based only on SPVD and even 2.25% higher than the not-weighted voting scheme.

• Journal of KIISE:Software and Applications
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• v.26 no.5
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• pp.604-612
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• 1999

데이터웨어하우스는 데이터분석을 위한 특수 목적의 데이터베이스로, 주로 데이터분석을 위한 질의(이하 OLAP 질의)가 던져진다. 그런데 OLAP질의는 수백만개의 레코드를 가지 테이블에 대해 하나 이상의 aggregation 함수와 group-by 연산자가 포함되므로, 질의 처리 시간은 수 분에서 수 시간이 걸린다. 이를 개선하기위하여 데이터 큐브를 구현함에 있어서의 문제는 디스크 공간이 한정되어 있기 때문에 평균 질의 처리 시간이 훨씬 짧아진다하더라도 모든 셀들을 실체화할수 없다. 따라서 한정된 디스크 공간을 최대한 활용하면서 가능한 빠른 평균 질의 처리 시간을 얻을 수 있도록 데이터 큐브의 일부만을 실체화 시켜야한다. 본 논문의 주제와 관련된 연구로는 Harinarayan[4] 이 제안한 greedy 알고리즘이 있다. 이 알고리즘은 1) 데이터 큐브를 격자구조로 표현한후, 2) 격자의 위에서부터 아래로 차례로 뷰들을 방문하면서 방문한 뷰가 실체화되 경우 데이터 큐브에 주는 이익을 계산한다. 3) 그 중 가장 이익이 큰 것을 선택한다. 3) 그중 가장 이익이 큰 것을 선택한다. 2)와 3)의 과정은 k개의 뷰를 선택할 경우, k번 반복된다. 이 알고리즘의 운영 시간은 데이터 큐브를 구성하는 뷰의 개수가 n개이고 그 중에서 k개를 실체화할 경우에 O(kn2)이다. 본 논문에서는 운영 시간을 향상시킨 수정된 greedy 알고리즘을 제안한다. 알고리즘 내부에서 실체화할 뷰를 선택할 때 격자를 단순화시킨 트리를 사용함으로써, 알고리즘 운영시간을 O(kn2)에서 O(kn)으로 향상시켰다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.19 no.7
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• pp.1-8
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• 2005

Outdoor spaces are used for recreation, rest area, and night activities of residents. By these tendency, outdoor space is recognized as a very important space in residental areas. However, outdoor space is frequently used at night but lighting plan for these spaces is not suited for the selection of luminairce, arrangement of luminaires and planing of illuminance. From this point of view, this paper investigated the essence of light in outdoor space, analyzed different outdoor luminous environment and performed simulations. This paper finally suggested recommended level of illuminance and lighting plan of such spaces.

• Journal of Internet Computing and Services
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• v.6 no.5
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• pp.85-95
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• 2005

This study proposes a method of feature point extraction using scale-space filtering and a feature point tracking algorithm based on a texturedness similarity comparison, With well-defined operators one can select a scale parameter for feature point extraction; this affects the selection and localization of the feature points and also the performance of the tracking algorithm. This study suggests a feature extraction method using scale-space filtering, With a change in the camera's point of view or movement of an object in sequential images, the window of a feature point will have an affine transform. Traditionally, it is difficult to measure the similarity between correspondence points, and tracking errors often occur. This study also suggests a tracking algorithm that expands Shi-Tomasi-Kanade's tracking algorithm with texturedness similarity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.11
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• pp.2849-2865
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• 2012

In order to block mobile junk messages automatically, many studies on spam filters have applied machine learning algorithms. Most previous research focused only on the accuracy rate of spam filters from the view point of the algorithm used, not on individual user's preferences. In terms of individual taste, the spam filters implemented on a mobile device have the advantage over spam filters on a network node, because it deals with only incoming messages on the users' phone and generates no additional traffic during the filtering process. However, a spam filter on a mobile phone has to consider the consumption of resources, because energy, memory and computing ability are limited. Moreover, as time passes an increasing number of feature words are likely to exhaust mobile resources. In this paper we propose a spam filter model distributed between a users' computer and smart phone. We expect the model to follow personal decision boundaries and use the uniform resources of smart phones. An authorized user's computer takes on the more complex and time consuming jobs, such as feature selection and training, while the smart phone performs only the minimum amount of work for filtering and utilizes the results of the information calculated on the desktop. Our experiments show that the accuracy of our method is more than 95% with Na$\ddot{i}$ve Bayes and Support Vector Machine, and our model that uses uniform memory does not affect other applications that run on the smart phone.

• Journal of Microbiology and Biotechnology
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• v.28 no.11
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• pp.1771-1781
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• 2018

The emergence of multidrug-resistant microorganisms, as well as fungal infectious diseases that further threaten health, especially in immunodeficient populations, is a major global problem. The development of new antifungal agents in clinical trials is inferior to the incidence of drug resistance, and the available antifungal agents are restricted. Their mechanisms aim at certain characteristics of the fungus in order to avoid biological similarities with the host. Synthesis of the cell wall and ergosterol are mainly targeted in clinical use. The need for new approaches to antifungal therapeutic agents or development alternatives has increased. This review explores new perspectives on mechanisms to effectively combat fungal infections and effective antifungal activity. The clinical drug have a common feature that ultimately causes caspase-dependent cell death. The drugs-induced cell death pathway is associated with mitochondrial dysfunction, including mitochondrial membrane depolarization and cytochrome c release. This mechanism of action also reveals antimicrobial peptides, the primary effector molecules of innate systems, to highlight new alternatives. Furthermore, drug combination therapy is suggested as another strategy to combat fungal infection. The proposal for a new approach to antifungal agents is not only important from a basic scientific point of view, but will also assist in the selection of molecules for combination therapy.