• Nuclear Engineering and Technology
• /
• v.50 no.1
• /
• pp.25-34
• /
• 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.

• KIPS Transactions on Software and Data Engineering
• /
• v.9 no.3
• /
• pp.91-100
• /
• 2020

Unlike the existing Visual Question Answering(VQA) problems, the new Visual Commonsense Reasoning(VCR) problems require deep common sense reasoning for answering questions: recognizing specific relationship between two objects in the image, presenting the rationale of the answer. In this paper, we propose a novel deep neural network model, KG_VCR, for VCR problems. In addition to make use of visual relations and contextual information between objects extracted from input data (images, natural language questions, and response lists), the KG_VCR also utilizes commonsense knowledge embedding extracted from an external knowledge base called ConceptNet. Specifically the proposed model employs a Graph Convolutional Neural Network(GCN) module to obtain commonsense knowledge embedding from the retrieved ConceptNet knowledge graph. By conducting a series of experiments with the VCR benchmark dataset, we show that the proposed KG_VCR model outperforms both the state of the art(SOTA) VQA model and the R2C VCR model.

• Journal of Advanced Navigation Technology
• /
• v.13 no.1
• /
• pp.68-73
• /
• 2009

Recently, various services through the Internet are gradually increased and developed. The traditional way of examination has been replacing by the online test as well. The most representative is the IBT TOEFL by the ETS in the US. Besides this, a lot of online tests and some related discussions are very fierce to carry out due to the continuous increase of the number of exam candidates. Taking account of the economic issues compared to the previous test, this online method has a lot of strengths. This paper aims to build an online test system based on the 3- tier browser-server architecture, which is different from the commonly used 2-tier based system. This system was achieved using the Visual Studio.Net 2005 and SQL Server 2000 as development tools, and based on the ASP.NET 2.0 platform, using the ADO.NET and C# language.

• Proceedings of the KSRS Conference
• /
• v.2
• /
• pp.570-573
• /
• 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.

• Proceedings of the Korean Society for Agricultural Machinery Conference
• /
• 1993.10a
• /
• pp.1243-1253
• /
• 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.

• Journal of the Korea Society for Simulation
• /
• v.9 no.1
• /
• pp.67-81
• /
• 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.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.04c
• /
• pp.109-111
• /
• 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.

• Proceedings of the Korean Society for Agricultural Machinery Conference
• /
• 1996.06c
• /
• pp.773-779
• /
• 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
• /
• v.8 no.4
• /
• pp.207-213
• /
• 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.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.12 no.4
• /
• pp.13-24
• /
• 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.