• Proceedings of the KSR Conference
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• 2005.11a
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• pp.990-996
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• 2005

This paper is countermeasure against the problem point it will be able to occur with infiltration of the hardware and software. And, we proposed the optimum integrated of system construction plan for the SCADA system function set and a system design.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1330-1333
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• 1993

In this paper, first, the fuzzy Petri net inference mechanism with learning function is proposed by using the extended fuzzy Petri nets. Secondly, a control system with this new inference engine is proposed. This system can do automatically and easily the knowledge acquisition from the operator's empirical data and can also be controller adaptively under the big parameter change.

• Korean Journal of Radiology
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• v.22 no.10
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• pp.1597-1608
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• 2021

Cardiovascular computed tomography (CT) is among the most active fields with ongoing technical innovation related to image acquisition and analysis. Artificial intelligence can be incorporated into various clinical applications of cardiovascular CT, including imaging of the heart valves and coronary arteries, as well as imaging to evaluate myocardial function and congenital heart disease. This review summarizes the latest research on the application of deep learning to cardiovascular CT. The areas covered range from image quality improvement to automatic analysis of CT images, including methods such as calcium scoring, image segmentation, and coronary artery evaluation.

• Journal of The Korean Digital Architecture Interior Association
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• v.8 no.2
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• pp.29-37
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• 2008

The purpose of this study was to analyze the customer demand for design development of digital convergence furniture in the living space of the ubiquitous home. This study used the individual survey method and was collected from July 1 to 20, 2008. The frequency and percentage were used for data analysis by SPSS window's 12. The results of the study were as follows: The first, a lot of survey targets were 30-40 years old, university graduates, over 50,000,000 won in annual income and 30-40 pyung in house size. The second, what types of activity were carried out in the living room were acquisition of knowledge>entertainment activity>communication activity>household chores. The third, what types of furniture were used in the living room were A/V furniture>table>sofa>computer table>bookself. The forth, customers preferred to picture telephone service in sociality, home-theater service in entertainment and home appliances remote control service in information service. The fifth, the digital functions which can integrate with the living roon furniture, in the item for A/V furniture, was front door control function which recognizes visitors with the screen. In the item for table was function to search internet and for sofa was self purification function. Finally, the digital convergence furniture is not only for one activity but also for various types of activities that can comprehensively function to materialize the concept of comfortable furniture in the living space.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.08a
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• pp.175-178
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• 2008

In this paper, we introduce the considerations of pseudo range generation process of GNSS system and propose the design structure and show the simulation results applied to GPS. A Pseudo range generation simulator for GNSS(Global Navigation Satellite System) provides the generation function of GNSS constellations, the acquisition function of satellites position, the generation function of true range between satellites and user receiver, the generation functions for individual error features generated through the signal is travelled, and the calculation function of pseudo range. In addition, the simulator is designed to provide the output files of RINEX format.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.694-698
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• 2004

In this paper, as one of these efforts for making the intelligent data mining system we propose the Associative frame of the memory according to the following three steps. First,the structured frame for performing the main brain function should be made. In this frame, the concepts of learning memory and episode memory are considered. Second,the learning mechanism for data acquisition and storing mechanism in the memory frame are provided. The obtained data are arranged and stored in the memory following the rules of the structured memory frame. Third, it is the last step of processing the inference and knowledge retrieval function using the stored knowledge in the associative memory frame. This system is applied to the area for estimating the purchasing degree from the type of customer's tastes, the pattern of commodities and the evaluation of a company.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.178-179
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• 2011

The exchange of information with legacy systems is a main issue in the era of SMARTGRID. Because WAMAC(Wide Area Monitoring and Control) system has monitoring function, as well as control function, it is very necessary for WAMAC to exchange data and information with SCADA(Supervisory Control and Data Acquisition) / EMS(Energy Management System). IEC 61970 CIM(Common Information Model) is an abstract model that represents all the major objects in an electric utility enterprise typically involved in utility operations. In this paper, a proposal that adopting CIM to WAMAC model be submitted so that the integration of various legacy system and application for itself be able to be flexible.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.857-862
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• 2003

In this paper, we concern for development of precise measuement system for civil structure by using one chip microprocessor based on communication system. The datalogger is developed by using 80C196KC microprocessor. It has RF communication modul and data acquisition function for several kinds of sensors such as load cell, tilt-meter, strain gauge, tension meter, themocouple and so on. The data is acquisited by datalogger is sent to a main server which is located at central monitoring office. The server has a function suppervising several data points located at civil structures, it analyzes the data and shows the data graphically. The effectiveness of the developed system is proven through experimental results by an application for the bridge of Nakdong river edge in Busan, Korea.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2001.04a
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• pp.137-142
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• 2001

Since recent production system becomes that of the small quantity, large volume with high quality production, accurate and high speed inspection system is required. In such situation, noncontact 3D measurement system which utilized CCD cameras is useful technique in terms of system cost, speed of data acquisition, measuring accuracy and application. However, it has low accuracy compared with contact 3D measurement system because of the camera distortion, non uniformity of laser distribution and so on. For those reasons, in this paper precision enhancement method is studied considering radial camera distortion, and laser distribution. A distortion correction method is applied even to the standard lens. The laser slit beam trajectory is determined by 3 method: based of the Gaussian function signal approximation, the median method, the center of gravity method and the peak point of the Gaussian function method.

• 한국지구물리탐사학회:학술대회논문집
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• 2003.11a
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• pp.340-343
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• 2003

This study presents a practical procedure for the Bayesian inversion of geophysical data by Markov chain Monte Carlo (MCMC) sampling and geostatistics. We have applied geostatistical techniques for the acquisition of prior model information, and then the MCMC method was adopted to infer the characteristics of the marginal distributions of model parameters. For the Bayesian inversion of dipole-dipole array resistivity data, we have used the indicator kriging and simulation techniques to generate cumulative density functions from Schlumberger array resistivity data and well logging data, and obtained prior information by cokriging and simulations from covariogram models. The indicator approach makes it possible to incorporate non-parametric information into the probabilistic density function. We have also adopted the MCMC approach, based on Gibbs sampling, to examine the characteristics of a posteriori probability density function and the marginal distribution of each parameter. This approach provides an effective way to treat Bayesian inversion of geophysical data and reduce the non-uniqueness by incorporating various prior information.