• Journal of the Korea Institute of Military Science and Technology
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• v.17 no.6
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• pp.773-785
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• 2014

For decades, modeling of pilots has been intensively studied due to its advantages in reducing costs for training and enhancing safety of pilots. In particular, research for modeling of pilots' non-kinetic behaviors which refer to the decisions made by pilots is beneficial as the expertise of pilots can be inherent in the models. With the recent growth in the amount of combat logs accumulated, employing statistical learning methods for the modeling becomes possible. However, the combat logs consist of heterogeneous data that are not only continuous or discrete but also sequence independent or dependent, making it difficult to directly applying the learning methods without modifications. Therefore, in this paper, we present a kernel function named hybrid sequence kernel which addresses the problem by using multiple kernel learning methods. Based on the empirical experiments by using combat logs obtained from a simulator, the proposed kernel showed satisfactory results.

• BMB Reports
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• v.39 no.5
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• pp.578-585
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• 2006

The cDNA of a firefly luciferase from lantern mRNA of Lampyroidea maculata has been cloned, sequenced and functionally expressed. The cDNA has an open reading frame of 1647 bp and codes for a 548-residue-long polypeptide. Noteworthy, sequence comparison as well as homology modeling showed the highest degree of similarity with H. unmunsana and L. mingrelica luciferases, suggesting a close phylogenetic relationship despite the geographical distance separation. The deduced amino acid sequence of the luciferase gene of firefly L. maculata showed 93% identity to H. unmunsana. Superposition of the three-dimensional model of L. maculata luciferase (generated by homology modeling) and three dimensional structure of Photinus pyralis luciferase revealed that the spatial arrangements of Luciferin and ATP-binding residues are very similar. Putative signature of AMP-binding domain among the various firefly species and Lampyroidea maculata was compared and a striking similarity was found. Different motifs and sites have been identified in Lampyroidea maculata by sequence analysis. Expression and purification of luciferase from Lampyroidea maculata was carried out using Ni-NTA Sepharose. Bioluminescence emission spectrum was similar to Photinus pyralis luciferase.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.285-287
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• 2017

본 논문에서는 Multi-layer sequence-to-sequence 구조를 이용해 한국어 대화 시스템을 개발하였다. sequence-to-sequence는 RNN 혹은 그 변형 네트워크에 데이터를 입력하고, 입력이 완료된 후의 은닉층의 embedding에 기반해 출력열을 생성한다. 우리는 sequence-to-sequence로 입력된 발화에 대해 출력 발화를 내어주는 대화 모델을 학습하였고, 그 성능을 측정하였다. RNN에 대해서는 약 80만 발화를, MTRNN에 대해서는 5만 발화를 학습하고 평가하였다. 모델의 결과로 나타난 발화들을 정리하고 분석하였다.

• 한국어정보학회:학술대회논문집
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• 2017.10a
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• pp.285-287
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• 2017

본 논문에서는 Multi-layer sequence-to-sequence 구조를 이용해 한국어 대화 시스템을 개발하였다. sequence-to-sequence는 RNN 혹은 그 변형 네트워크에 데이터를 입력하고, 입력이 완료된 후의 은닉층의 embedding에 기반해 출력열을 생성한다. 우리는 sequence-to-sequence로 입력된 발화에 대해 출력 발화를 내어주는 대화 모델을 학습하였고, 그 성능을 측정하였다. RNN에 대해서는 약 80만 발화를, MTRNN에 대해서는 5만 발화를 학습하고 평가하였다. 모델의 결과로 나타난 발화들을 정리하고 분석하였다.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.1
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• pp.70-75
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• 2006

This paper represents a study on disassembly sequence generation system for automobile parts. This system is practically very useful because proper disassembly sequence of end-of-life product becomes crucial as take-back obligations are imposed for environmental reasons. Therefore a disassembly sequence generation system is suggested to automatically derive all the feasible disassembly sequences from the assembly modeling files. As a result, in consideration of the all parts and subassemblies the optimum disassembly sequence is generated. And the optimum disassembly sequence for a certain part or subassembly can be also suggested.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1702-1721
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• 2019

A workflow process (or business process) management system helps to define, execute, monitor and manage workflow models deployed on a workflow-supported enterprise, and the system is compartmentalized into a modeling subsystem and an enacting subsystem, in general. The modeling subsystem's functionality is to discover and analyze workflow models via a theoretical modeling methodology like ICN, to graphically define them via a graphical representation notation like BPMN, and to systematically deploy those graphically defined models onto the enacting subsystem by transforming into their textual models represented by a standardized workflow process definition language like XPDL. Before deploying those defined workflow models, it is very important to inspect its syntactical correctness as well as its structural properness to minimize the loss of effectiveness and the depreciation of efficiency in managing the corresponding workflow models. In this paper, we are particularly interested in verifying very large-scale and massively parallel workflow models, and so we need a sophisticated analyzer to automatically analyze those specialized and complex styles of workflow models. One of the sophisticated analyzers devised in this paper is able to analyze not only the structural complexity but also the data-sequence complexity, especially. The structural complexity is based upon combinational usages of those control-structure constructs such as subprocesses, exclusive-OR, parallel-AND and iterative-LOOP primitives with preserving matched pairing and proper nesting properties, whereas the data-sequence complexity is based upon combinational usages of those relevant data repositories such as data definition sequences and data use sequences. Through the devised and implemented analyzer in this paper, we are able eventually to achieve the systematic verifications of the syntactical correctness as well as the effective validation of the structural properness on those complicate and large-scale styles of workflow models. As an experimental study, we apply the implemented analyzer to an exemplary large-scale and massively parallel workflow process model, the Large Bank Transaction Workflow Process Model, and show the structural complexity analysis results via a series of operational screens captured from the implemented analyzer.

• Journal of KIISE:Software and Applications
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• v.27 no.4
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• pp.357-369
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• 2000

SMIL(Synchronized Multimedia integration Language) allows integrating a set of independent multimedia objects into a synchronized multimedia presentation. In this paper, I propose modeling rules, formal models, modeling function and an algorithm for SMIL documents using use case diagram and sequence diagram of UML(Unified Modeling Language), It will be used the use case diagram and collaboration diagram for object-oriented visualizing tool to describe the temporal behavior of the presentation. The main contribution of this paper is that developers of SMIL documents easily generate them using this rules and algorithm. And, the formal models and modeling functions provide an environment for processing object-oriented documents.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.397-399
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• 2001

Unified Modeling Language(UML)은 개발하고자 하는 시스템을 Visualizing, Specifying, Constructing, Documenting 화 해주는 graphical language 이다. 우리는 이러한 모델링 언어를 통하여, 객체지향 분석/설계 과정에 이용하고 있다. 그러나, EJB 로 Mapping 하기 위한 충분한 연구가 이루어지지 않아 개발자들이 EJB 로 UML 을 설계 및 구현을 명확하게 옮기지 못하였다. 본 논문에서는 이 점에 중점을 두고 UML Modeling 을 통해 설계 및 구현된 내용중 UML 의 Sequence Diagram 의 요소들을 EJB Bean으로의 구현시 Mapping 지침을 제시한다

• Journal of rehabilitation welfare engineering & assistive technology
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• v.2 no.1
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• pp.51-56
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• 2009

This study was tried to analyze the diagnosis of patients with cerebral infarction by sequence modeling that was one of data mining analysis method and find out previous disease or complication of patients with cerebral infarction. Mass data that the diagnosis code of cerebral infarction was 163 in 2000 to 2007 were extracted from A hospital's database and then the data mart was constructed for analysis. Total 2,267 patients illnesses were diagnosed as cerebral infarction and 32,692 cases related diagnosis were extracted. Sequence modeling in Clementine 12.0 program was used to analyze diagnosis of patients with cerebral infarction and 8 meaningful rules were found in this paper. This result could be used as a basic data to make secondary cerebral infarction prevention program and to prevent complication of cerebral infarction.

• Bioinformatics and Biosystems
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• v.1 no.1
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• pp.82-87
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• 2006

The most popular protein structure prediction method is comparative modeling. To guarantee accurate comparative modeling, the sequence alignment between a query protein and a template should be accurate. Although choosing the best template based on the protein sequence alignments is most critical to perform more accurate fold-recognition in comparative modeling, even more critical is the sequence alignment quality. Contrast to a lot of attention to developing a method for choosing the best template, prediction of alignment accuracy has not gained much interest. Here, we develop a method for prediction of the shift score, a recently proposed measure for alignment quality. We apply support vector regression (SVR) to predict shift score. The alignment between a query protein and a template protein of length n in our own library is transformed into an input vector of length n +2. Structural alignments are assumed to be the best alignment, and SVR is trained to predict the shift score between structural alignment and profile-profile alignment of a query protein to a template protein. The performance is assessed by Pearson correlation coefficient. The trained SVR predicts shift score with the correlation between observed and predicted shift score of 0.80.