• 인터넷정보학회논문지
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• 제25권1호
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• pp.189-198
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• 2024

민간에서뿐 아니라 국방분야에서도 인공지능은 국방의 발전을 위해 꼭 도입되어야 하는 첨단기술로 받아들여지고 있으며, 특히 국방과학기술혁신의 핵심 과제로 인공지능이 선정되고, 데이터의 중요성이 확대되고 있다. 국방은 폐쇄적인 데이터 정책에서 데이터 공유·활성화로 방향을 전환하고 있으며, 국방의 발전을 위해 필요한 양질의 데이터를 확보하기 위한 노력을 기울이고 있다. 특히 AI·빅데이터의 고유한 특성이 반영될 수 있도록 관련 절차 개선 및 대량·양질의 데이터가 충분히 확보된 상태에서 연구개발이 시작될 수 있도록 데이터 확보를 위한 사업예산과 제도 검토를 추진하고 있다. 그러나 국방 차원의 정형데이터 및 비정형 데이터의 표준화·품질 기준 마련이 필요한 상황이나 지금까지 국방은 정형데이터의 표준화·품질 기준을 제안하고 있는 수준으로 이에 대한 보완이 필요하다. 본 논문에서는 국방 인공지능에서 가장 필요한 국방 비정형 데이터셋을 위한 비정형 데이터셋 표준포맷을 제안하고, 이를 바탕으로 국방 비정형 데이터셋 표준화 방안을 제안한다.

• Journal of Mechanical Science and Technology
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• 제15권5호
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• pp.592-601
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• 2001

An automatic mesh generation scheme with unstructured quadrilateral elements on trimmed NURBS surfaces has been developed. In this paper NURBS surface geometries in the IGES format have been employed to represent geometric models. For unstructured mesh generation with quadrilateral elements, a domain decomposition algorithm employing loop operators has been modified. As for the surface meshing, an indirect 2D approach is proposed in which both quasi-expanded planes and projection planes are employed. Sampled meshes for complex models are presented to demonstrate the robustness of the algorithm.

• Journal of Mechanical Science and Technology
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• 제16권2호
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• pp.211-218
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• 2002

This paper proposes an unstructured tetrahedral meshing algorithm for CAD models in the IGES format. The work presented is based on the advancing front method, which was proposed by the third author. Originally, the advancing front method uses three basic operators, namely, trimming, wedging, and digging. In this research, in addition to the basic operators, three new operators splitting, local finishing, and octahedral-are added to stabilize the meshing process. In addition, improved check processes are applied to obtain better-shaped elements. The algorithm is demonstrated and evaluated by four examples.

• 한국멀티미디어학회논문지
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• 제18권7호
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• pp.873-885
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• 2015

Today, It is difficult to search the various and numerous information efficiently. For this reason, Semantic Web emerged to provide searching services more easily through the structuring of a variety of unstructured format data and the definition of meaningful relationships between information. Especially, definition of relationship and meaning among resources is significant to share and infer related information. Ontology modeling plays just that role. Weapon parts development information is unstructured and dispersed all over. There are many difficulties in finding desired information, leading to getting improper outcomes. In this paper, we present an intuitive ontology model with weapon parts development information including the multi-dimensional information analysis and expansion of the relevant information. This study build up a ontology model through creating class and hierarchy about parts information and defining the properties of classes with Ontology Development 101[1] procedures using Protégé tools. The ontology model provides users with a platform on which search of needed information can be easy and efficient.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2007년도 춘계 학술대회논문집
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• pp.91-94
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• 2007

A GUI based pre/post processor program, which is based on the MFC and OpenGL library in the Windows O/S, hee been developed for NUFLEX Using this program, users are able to generate and modify structured or unstructured grid geometries, set all the parameters for the solver, and observe the results of the simulation in graphic view by vector or scalar plots. The mesh geometry data can be imported from or exported to other programs by supporting functions for reading from and writing to CGNS data format files.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2000년도 춘계학술대회논문집A
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• pp.894-899
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• 2000

An automatic mesh generation system with unstructured quadrilateral elements on trimmed NURBS surfaces has been developed.. In this paper, NURBS surface geometries in the IGES format have been used to represent model shape. NURBS surface is represented as parametric surface. So each surface could be mapped to a 2D parametric plane through the parametric domain. And then meshes with quadrilateral elements are constructed in this plane. Finally, the constructed meshes are mapped back to the original 3D surface through the parametric domain. In this paper, projection plane, quasi-expanded plane and parametric Plane are used as 2D mesh generation plane. For mapping 3D surface to parametric domain, Newton-Rhapson Method is employed. For unstructured mesh generation with quadrilateral elements on 2D plane, a domain decomposition algorithm using loop operators has been employed. Sample meshes are represented to demonstrate the effectiveness of the proposed algorithm.

• Journal of information and communication convergence engineering
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• 제20권2호
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• pp.113-124
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• 2022

News in the form of web data generates increasingly large amounts of information as unstructured text. The capability of understanding the meaning of news is limited to humans; thus, it causes information overload. This hinders the effective use of embedded knowledge in such texts. Therefore, Automatic Knowledge Extraction (AKE) has now become an integral part of Semantic web and Natural Language Processing (NLP). Although recent literature shows that AKE has progressed, the results are still behind the expectations. This study proposes a method to auto-extract surface knowledge from English news into a machine-interpretable semantic format (triple). The proposed technique was designed using the grammatical structure of the sentence, and 11 original rules were discovered. The initial experiment extracted triples from the Sri Lankan news corpus, of which 83.5% were meaningful. The experiment was extended to the British Broadcasting Corporation (BBC) news dataset to prove its generic nature. This demonstrated a higher meaningful triple extraction rate of 92.6%. These results were validated using the inter-rater agreement method, which guaranteed the high reliability.

• Nuclear Engineering and Technology
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• 제54권11호
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• pp.4280-4295
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• 2022

In this paper, a new multi-group neutron-gamma transport calculation code system STRAUM-MATXST for complicated geometrical problems is introduced and its development status including numerical tests is presented. In this code system, the MATXST (MATXS-based Cross Section Processor for S_N Transport) code generates multi-group neutron and gamma cross sections by processing MATXS format libraries generated using NJOY and the STRAUM (S_N Transport for Radiation Analysis with Unstructured Meshes) code performs multi-group neutron-gamma coupled transport calculation using tetrahedral meshes. In particular, this work presents the recent implementation and its test results of the Krylov subspace methods (i.e., Bi-CGSTAB and GMRES(m)) with preconditioners using DSA (Diffusion Synthetic Acceleration) and TSA (Transport Synthetic Acceleration). In addition, the Krylov subspace methods for accelerating the energy-group coupling iteration through thermal up-scatterings are implemented with new multi-group block DSA and TSA preconditioners in STRAUM.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2009년 춘계학술대회논문집
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• pp.125-129
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• 2009

In this paper automatic 3D wing shape modeling program is introduced. The program is developed in Visual Basic based on Net Framework 3.5 environment by using CATIA COM Library, and it is used together with CATIA system to model 3D wings with or without flaps. With this program users can easily construct wing models by specifying geometry parameters which are usually design variables with the aid of easy-to-use GUI environment, and specifying sectional airfoil data is done either by using analytic shape functions such as NACA series airfoils or by providing input files with point data describing the airfoil shape. When all the input parameters are provided, users can either work further with the model in the CATIA system which would be automatically started by the program or save the resultant model in the format of users choice. Unstructured grid generation program is also briefly described which can make grid generation task for a 3D wing easy and efficient one when used together with the wing modeling program by choosing STL format as the model's output format.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권11호
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• pp.521-526
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• 2017

데이터는 데이터 형식이 다양하고 방대할 뿐만 아니라 그 생성 속도가 매우 빨라 기존의 데이터 처리 방식이 아닌 새로운 관리 및 분석 방법이 요구된다. 소셜 네트워크 상의 온라인 문서에서 인간의 언어로 쓰여진 비정형 텍스트에서 Text Mining기법을 사용하여 유용한 정보를 추출할 수 있다. 소셜미디어에 남긴 정치, 경제, 문화에 대한 메시지에 대한 경향을 파악하는 것이 어떤 주제에 관심을 가지고 있는지를 파악할 수 있는 요소가 된다. 본 연구에서는 주제 중심 분석 기법을 이용하여 주어진 키워드에 관한 온라인 뉴스를 대상으로 텍스트 마이닝을 수행하였다. LDA(Latent Dirichiet Allocation)를 이용하여 웹문서로부터 정보를 추출하고 이로부터 사람들이 실제로 주어진 키워드에 대하여 어떤 주제에 관심이 있고 관련된 핵심 가치 중 어떤 주제를 중심으로 전파되고 있는지를 분석하였다.