• Journal of applied mathematics & informatics
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• 제3권2호
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• pp.205-216
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• 1996

The field of nonparametrics has shown its appeal in re-cent years with anarray of new tools for statistical analysis. As one of those tools nonparametric regression has become a prominent statis-tical research topic and also has been well established as a useful tool. In this article we investigate the biased cross-validation selector, BCV, which is proposed by Oh et al. (1995) for a less smoothing regression function. In the simulation study BCV selector is shown to perform well in parctice with respect to ASE ratio.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1986년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 17-18 Oct. 1986
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• pp.540-543
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• 1986

In this article, recent trends of technology in design of CNC system for machine tools which has increased in number and applications by needs for FA(Factory Automation), save of labor in various industries, are described. These technology improvements in CNC system take place especially in the field of performance, reliability, compactness, price, etc. From these technology improvements, the theme of "performance improvements of CNC system" are selected and mostly described in this article. Also, the major features of a CNC system product of our company and its characteristics in system design are briefly described.described.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1994년도 추계학술대회 논문집
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• pp.336-342
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• 1994

This paper presents an useful technique for assessing the volumetric error in multi_axis machine tools using the kinematic double ball bar and 3 dimensional spherical contouring. The developed system proposes the 3 dimensional spherical contour for the error analysis. The developed system input the measured radial data, analysing the volumetric errors such as positional, strightness, angle, and squareness errors, etc. The developed system has been tested in a practical machine tool, and showed high

• 산업기술연구
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• 제27권A호
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• pp.39-46
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• 2007

I discuss the preliminary version of an investigative software, GSE, - Genetic 3D Surface Explorer, in which genetic operations interact with AutoCAD to generate novel 3D Forms for the Architect. GSE allows us to comment on design issues concerning computer aided design tools based on evolutionary algorithms.

• 산업경영시스템학회지
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• 제17권30호
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• pp.167-175
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• 1994

Generally, queueing networks, networks, chains and simulation techniques are among the most widely used evaluation tools to study computer systems, manufacturing systems etc. But, these tools have some assumptions and difficulties. So, this thesis presents a method for manufacturing system using Petri nets. Petri nets are a graphical and mathmatical modeling tool and are promising tool for describing and studying systems that are characterized as being concurrent asychronous, dynamic, distributed and parrallel. It designs Petri net model for processing time of manufacturing system And it applied to a job shop system composed of 8 machines and 4 different job types.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2004년도 춘계학술발표대회논문집
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• pp.293-297
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• 2004

Recently, with the spread of digital camera and PC cam, need of tools for display and manipulation of digital images have increased remarkably. These tools are called as digital album. Af now, people want to see picture not alone in home but share with someone else. The purpose of this study is to develop a digital album, which is easy to use, easy to approach and has more function. Therefore people can see picture everywhere he want and management it. If computer is connected In Internet.

• 한국정밀공학회지
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• 제13권7호
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• pp.24-28
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• 1996

In this paper, a new measurement system has been developed for measuring servo errors of CNC machine tools. Unlike the ball link bar method using circular path, the developed system uses two orthogonal straight paths for measurement of errors, giving relatively short test length. For position measurment, linear displacement sensor and steel cube have been designed, and the software for relevant data sampling and error evaluation has been implemented.

• International Journal of Internet, Broadcasting and Communication
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• 제12권3호
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• pp.189-195
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• 2020

Smart contract, one of the applications of blockchain, is expected to be used in various industries. However, there is risks of damages caused by attacks on vulnerabilities in smart contract codes. Tool support is essential to detect vulnerabilities, and as new vulnerabilities emerge and smart contract implementation languages increase, the tools must have extensibility for them. We propose a design model for extensible architecture of smart contract vulnerability detection tools that detect vulnerabilities in smart contract source codes. The proposed model is composed of design pattern-based structures that provides extensibility to easily support extension of detecting modules for new vulnerabilities and other implementation languages of smart contract. In the model, detecting modules are composed of independent module, so modifying or adding of module do not affect other modules and the system structure.

• International Journal of Advanced Culture Technology
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• 제2권2호
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• pp.11-14
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• 2014

In the smart grid, it will be possible to communicate with the consumers for the purposes of monitoring and controlling their power consumption without disturbing their business or comfort. This will bring easier administration capabilities for the utilities. On the other hand, consumers will require more advanced home automation tools which can be implemented by using advanced sensor technologies. For instance, consumers may need to adapt their consumption according to the dynamically varying electricity prices which necessitates home automation tools. This paper tries to combine neural network and nonlinear autoregressive with exogenous variable (NARX) class for next week electric load forecasting. The suitability of the proposed approach is illustrated through an application to electric load consumption data. The suggested system provides a useful and suitable tool especially for the load forecasting.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.221-239
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• 2020

In this paper, a visualization digital forensics tool, called JumpList Analyzer, is implemented. The tool can analyze the complicated Jump Lists files, and then the results are demonstrated by visualization. To compare the proposed tool with the other Jump Lists tools, the proposed tool is the only one can display the analyzed results by visualization. The visualization will help the investigators more easily to find the evidence than the other tools showing the analyzed results by texts only. In the experiment, the proposed JumpList Analyzer is demonstrated its convenience at identifying artifacts for doing digital forensics in a financial fraud case. In addition, the proposed tool can also be used to reveal the computer user's behavior or background.