• Nuclear Engineering and Technology
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• 제50권1호
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• pp.25-34
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• 2018

The CINDER code has about 60 years of development history, and is thus one of the world's best transmutation computing codes to date. Unfortunately, it is complex and cumbersome to use. Preparing auxiliary input files for activation computation from MCNPX output and executing them using Perl script (activation script) is the first difficulty, and separation of gamma source computing script (gamma script), which analyzes the spectra files produced by CINDER code and creates source definition format for MCNPX code, is the second difficulty. In addition, for highly nonlinear problems, multiple human interventions may increase the possibility of errors. Postprocessing such as making plots with large text outputs is also time consuming. One way to improve these limitations is to make a graphical user interface wrapper that includes all codes, such as MCNPX and CINDER, and all scripts with a visual C#.NET tool. The graphical user interface merges all the codes and provides easy postprocessing of graphics data and Microsoft office tools, such as Excel sheets, which make the CINDER code easy to use. This study describes the VCINDER code (with visual C#.NET) and gives a typical application example.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제9권3호
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• pp.91-100
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• 2020

기존의 영상 기반 질문-응답(VQA) 문제들과는 달리, 새로운 영상 기반 상식 추론(VCR) 문제들은 영상에 포함된 사물들 간의 관계 파악과 답변 근거 제시 등과 같이 추가적인 심층 상식 추론을 요구한다. 본 논문에서는 영상 기반 상식 추론 문제들을 위한 새로운 심층 신경망 모델인 KG_VCR을 제안한다. KG_VCR 모델은 입력 데이터(영상, 자연어 질문, 응답 리스트 등)에서 추출하는 사물들 간의 관계와 맥락 정보들을 이용할 뿐만 아니라, 외부 지식 베이스인 ConceptNet으로부터 구해내는 상식 임베딩을 함께 활용한다. 특히 제안 모델은 ConceptNet으로부터 검색해낸 연관 지식 그래프를 효과적으로 임베딩하기 위해 그래프 합성곱 신경망(GCN) 모듈을 채용한다. VCR 벤치마크 데이터 집합을 이용한 다양한 실험들을 통해, 본 논문에서는 제안 모델인 KG_VCR이 기존의 VQA 최고 모델과 R2C VCR 모델보다 더 높은 성능을 보인다는 것을 입증한다.

• 한국항행학회논문지
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• 제13권1호
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• pp.68-73
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• 2009

현재 수많은 서비스가 인터넷을 통해서 제공되며 이러한 추세는 계속해서 심화될 것으로 보인다. 전통적인 시험 방식 또한 인터넷을 이용한 시험으로 대체되고 있으며, 미국 ETS의 IBT TOEFL이 그 대표적인 예로 볼 수 있다. 뿐만 아니라 IT와 관련한 많은 시험들이 인터넷 기반으로 진행되고 있으며, 이와 관련한 논의가 활발히 진행되고 있다. 인터넷을 이용한 시험은 수험생들의 접근성을 높일 수 있으며 경제적이기 때문에 기존 출석 방식의 시험에 비해서 많은 장점을 가질 수 있다. 본 논문은 인터넷 기반의 자동 시험 플랫폼을 위한 브라우저 및 서버 프로그램을 개발하는 것을 목표로 하고 있으며, 기존의 2-계층 시스템들과는 달리 3-계층 기반으로 구현하였다. Visual Studio.Net 2005와 SQL Server 2000 개발 도구를 사용하였으며, ASP.NET 2.0 개발 플랫폼을 기반으로 하였다. ADO.NET을 사용하여 데이터베이스에 접근하였으며, 프로그램 언어로는 C#을 사용하여 구현하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.570-573
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• 2006

College GIS and remote sensing education usually consists of commercial software packages implementations in the classroom. Computer programming is quite important when college graduates work in private or public sectors relevant with GIS and remote sensing implementations. The objective of this paper was to develop a valley management system which implements GIS and remote sensing as the key components for education. The Valley Authority is entitled with water resource protection for sustainable drinking water supply of the second largest city in Taiwan. The test area consists of three different government agencies, Forest Service, EPA, and Water Resource Agency. Materials were provided by the Valley Authority in ArcGIS file format. MapObjects have made the GIS development process much easier. Remote sensing with image manipulation functions were provided by computer programming with Visual Baisc.NET and Visual C#.NET. Attributes inquiry are performed by these two computer languages as well. ArcGIS and ArcPad are also used for simple GIS manipulations of the test area. Comparison between DIY and commercial GIS can be made by college students. Functions provided by the developed valley management system depending on how many map layers have been used and what types of MapObjects components have been used. Computer programming experience is not essential but can be helpful for a college student. The whole process is a step-by-step sequence which college students can modify to depict their capability in GIS and remote sensing. The development process has gone through one semester, three hours every week in 18 weeks. College students enrolled in this class entitled with GIS showed remarkable progresses both in GIS and remote sensing.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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• pp.1243-1253
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• 1993

Visual features of a mushroom(Lentinus Edodes L) are critical in sorting and grading as most agricultural products are. Because of its complex and various visual features, grading and sorting of mushrooms have been done manually by the human expert. Though actions involved in human grading looks simple, a decision making undereath the simple action comes form the results of the complex neural processing of the visual image. And processing details involved in the visual recognition of the human brain has not been fully investigated yet. Recently, however, an artificial neural network has drawn a great attention because of its functional capability as a partial substitute of the human brain. Since most agricultural products are not uniquely defined in its physical properties and do not have a well defined job structure, a research of the neuro-net based human like information processing toward the agricultural product and processing are widely open and promising. In this pape , neuro-net based grading and sorting system was developed for a mushroom . A computer vision system was utilized for extracting and quantifying the qualitative visual features of sampled mushrooms. The extracted visual features and their corresponding grades were used as input/output pairs for training the neural network and the trained results of the network were presented . The computer vision system used is composed of the IBM PC compatible 386DX, ITEX PFG frame grabber, B/W CCD camera , VGA color graphic monitor , and image output RGB monitor.

• 한국시뮬레이션학회논문지
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• 제9권1호
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• pp.67-81
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• 2000

In this paper, a new software package for modeling and simulating discrete-event dynamic systems is developed. The new software is a general-purpose, graphical tool based on timed Petri-nets and is developed using Visual Basic and Visual C++ for the window environment. It allows the user to graphically build a Petri-net model and enter input data for executing the Petri-net simulation model. It is equipped with a deadlock detection and recovery function as well as an automatic error check function. In addition, the software supports various enabling functions and distribution functions and provides various statistics for the performance measures of interests pertaining to the system. We expect the new software will be used in a wide number of applications including computer, communication and manufacturing systems.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2003년도 봄 학술발표논문집 Vol.30 No.1 (B)
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• pp.109-111
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• 2003

본 논문에서는 기존에 구현된 객체지향 CASE 도구인 OODesigner에 C＃ 언어 코드 생성 기능을 추가로 설계하여 구현한 결과를 제시한다. 본 논문의 결과로 기존의 OODesigner에는 Java, 일반적인 C++. Visual C++ 코드 생성기능을 가지고 있었는데 C＃ 코드 생성을 지원할 수 있도록 기능이 향상되었다. .NET 프레임워크 하에서 동적 웹 페이지, 분산 응용 프로그램의 컴포넌트. 데이터베이스 엑세스용 컴포넌트 등을 개발하기 위한 C＃의 사용이 확산되고 있는 상황으로 볼 때 본 논문에서 구현된 C＃ 코드 생성 기능의 구현은 C＃을 이용한 소프트웨어 개발의 생산성 향상에 크게 이바지할 것으로 판단된다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.773-779
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• 1996

Dried oak mushroom have complex and various visual features. Grading and sorting of dried oak mushrooms has been done by the human expert. Though actions involved in human grading looked simple, a decision making underneath the simple action comes from the result of the complex neural processing of the visual image. Through processing details involved in human visual recognition has not been fully investigated yet, it might say human can recognize objects via one of three ways such as extracting specific features or just image itself without extracting those features or in a combined manner. In most cases, extracting some special quantitative features from the camera image requires complex algorithms and processing of the gray level image requires the heavy computing load. This fact can be worse especially in dealing with nonuniform, irregular and fuzzy shaped agricultural products, resulting in poor performance because of the sensitiveness to the crisp criteria or specific ules set up by algorithms. Also restriction of the real time processing often forces to use binary segmentation but in that case some important information of the object can be lost. In this paper, the neuro net based real time recognition algorithm was proposed without extracting any visual feature but using only the directly captured raw gray images. Specially formated adaptable size of grids was proposed for the network input. The compensation of illumination was also done to accomodate the variable lighting environment. The proposed grading scheme showed very successful results.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.207-213
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• 2019

Assistance for the quality assurance management and developers to provide high quality software products. Using a bug record keeping system is exceptionally important in software progress, and it is followed vastly by majority of software producing companies in modern era. Regular application of a bug record keeping system is very helpful in developing software systems. We developed this system which helps the software testing team to keep a complete record of their testing activities during the software testing, also increases your confidence in the software quality, class and worth. Our proposed system offers trouble-free and effortless approaches to acquire desired information about bug, also produces different kinds of reports like summary reports, detailed reports etc. It gives facility to create, delete and update any project. Our developed application system is designed by using visual c# at front end and sql server 2008 management studio express at back end.

• 디지털산업정보학회논문지
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• 제12권4호
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• pp.13-24
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• 2016

Defense Acquisition Program Administration's weapon system software development and management guideline specifies the criteria of software reliability tests including static and dynamic tests mainly on C/C++ languages. Recently, Defense Acquisition Program Administration expanded the scope of software reliability test for the various languages including C#, java etc. but specific criteria for them are not established. This study suggests the reliability test procedures and standards on C# programming software in weapon system. For the static test, considering the nature of the C# which depends on .NET framework, this paper introduces applying coding rules recommended by Microsoft Corp. Visual Studio 2012. Block coverage provided by Visual Studio is applied on dynamic tests and the achievement objectives for block coverage according to the software levels(A, B, C) are suggested. Also, the software reliability test procedures and standards proposed by this paper are properly verified through the case study. The result of this study can be used for establishing the specific criteria of the software reliability test for C# programming software in weapon system.