• 한국수학사학회지
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• 제18권2호
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• pp.75-94
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• 2005

이 연구는 창의적 생산력 계발을 위한 교육 프로그램에서 수학영재 학생들이 생산한 창의적 산출물을 평가할 수 있는 준거를 개발하고자 하였다 수학사를 통해 수학자들이 이룩한 산출물을 토대로 창의적 산출물 생산 모델을 제안하였는데, 이 모델은 수학적 지식, 수학적 사고, 수학적 탐구 기술의 세 가지 요소와 창의적 산출물 전체에 대한 평가요소로 구성되어 있으며, 학생들의 산출물은 모델의 각 요소에 초점을 둔 것에 대응시킬 수 있었다. 수학에서의 창의적 산출물에 대한 평가 준거는 창의적 산출물 생산 모델의 요소에 근거하여 개발하였으며, 이 준거에 의한 평가는 타당성과 신뢰성을 가진 것으로 판단되었다.

• 한국산업융합학회 논문집
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• 제19권1호
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• pp.42-49
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• 2016

This study proposes a non-contact inspective technology based robot vision system for Faulty Inspection of welding States and Parts Shape. The maine focus is real time implementation of the machining parts' automatic inspection by the robotic moving. For this purpose, the automatic test instrument inspects the precision components designator the vision system. pattern Recognition Technologies and Precision Components for vision inspection technology and precision machining of precision parts including the status and appearance distinguish between good and bad. To perform a realization of a real-time automation integration system for the precision parts of manufacturing process, it is designed a robot vision system for the integrated system controller and verified the reliability through experiments. The main contents of this paper, the robot vision technology for noncontact inspection of precision components and machinery parts is useful technology for FA.

• 전기학회논문지
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• 제58권1호
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• pp.126-131
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• 2009

This study was carried out for the reliability of PD(Partial Discharge) pattern recognition. For the pattern recognition, the database for PD was established by use of self-designed insulation defects which occur and were mostly critical in GIS(Gas Insulated Switchgear). The acquired database was analyzed to distinguish patterns by means of PRPD(Phase Resolved Partial Discharge) method and stored to the form with to unite the average amplitude of PD pulse and the number of PD pulse as the input data of neural network. In order to prove the performance of genetic algorithm combined with neural network, the neural networks with trial-and-error method and the neural network with genetic algorithm were trained by same training data and compared to the results of their pattern recognition rate. As a result, the recognition success rate of defects was 93.2% and the neural network train process by use of trial-and-error method was very time consuming. The recognition success rate of defects, on the other hand, was 100% by applying the genetic algorithm at neural network and it took a relatively short time to find the best solution of parameters for optimization. Especially, it could be possible that the scrupulous parameters were obtained by genetic algorithm.

• 자동차안전학회지
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• 제9권3호
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• pp.24-30
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• 2017

This paper presents the development of laser scanner based static obstacle detection algorithm for vehicle localization on lane lost section. On urban autonomous driving, vehicle localization is based on lane information, GPS and digital map is required to ensure. However, in actual urban roads, the lane data may not come in due to traffic jams, intersections, weather conditions, faint lanes and so on. For lane lost section, lane based localization is limited or impossible. The proposed algorithm is designed to determine the lane existence by using reliability of front vision data and can be utilized on lane lost section. For the localization, the laser scanner is used to distinguish the static object through estimation and fusion process based on the speed information on radar data. Then, the laser scanner data are clustered to determine if the object is a static obstacle such as a fence, pole, curb and traffic light. The road boundary is extracted and localization is performed to determine the location of the ego vehicle by comparing with digital map by detection algorithm. It is shown that the localization using the proposed algorithm can contribute effectively to safe autonomous driving.

• 융합신호처리학회논문지
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• 제14권1호
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• pp.1-5
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• 2013

The two major problems related to the blood flow in replaced prosthetic heart valve are thrombus formation and hemolysis. Reliability of prosthetic valve is very important because its failure means the death of patient. There are many factors affecting the valvular failures and their representatives are mechanical failure and thrombosis, so early noninvasive detection is essentially required. The purpose of this study is to detect the various thromboses formation by using acoustic signal acquisition and its spectral analysis on the frequency domain. We made the thrombosis models using Polydimethylsiloxane (PDMS) and they are thrombosis model on the disc, around the sewing ring and fibrous tissue growth across the orifice of valve. Using microphone and amplifier, we measured the acoustic signal from the prosthetic valve, which is attached to the pulsatile mock circulation system. A/D converter sampled the acoustic signal and the spectral analysis is the main algorithm for obtaining spectrum. Then the spectrum of normal and 5 different kinds of abnormal valve were obtained. Each spectrum waveform shows a primary and secondary peak. The secondary peak changes according to the thrombus model. To quantitatively distinguish the frequency peak of the normal valve from that of the thrombosed valves, analysis using a neural network was employed. Acoustic measurement has been used as a noninvasive diagnostic tool and is thought to be a good method for detecting possible mechanical failure or thrombus.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.149-152
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• 2007

The detection of yellow sand dust using satellite has been utilized from various bands from ultraviolet to infrared channels. Among them, Infrared channels have an advantage of detecting aerosols over high reflecting surface as well as during nighttime. Especially, brightness temperature difference between 11 and 12{\mu}m(BTD) was often used to distinguish between water cloud and yellow sand, because Ice and liquid water particles preferentially absorb longer wavelengths while aerosol particles preferentially absorb shorter wavelengths. We have found that the BTD significantly depends on surface temperature, emissivity, and zenith angle and thereby the threshold of BTD. In order to overcome these problems, we have constructed the background brightness temperature threshold of BTD and then subtracted it from BTD. Along with this, we utilized high temporal coverage of geostationary satellite, MTSAT-1R, to verify the reliability of the retrieved signal in conjunction with forecasted wind information. The statistical score test illustrated that this newly developed algorithm showed a promising result for detecting mineral dust by reducing the errors in the current BTD method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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• pp.496-500
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• 1998

Not merely running at the designated constant speed as the classical cruise control, the adaptive cruise control (ACC) maintains safe headway distance when the front is blocked by other vehicles. One of the most essential part of ACC System is the range sensor which can measure the position and speed of all objects in front continuously, ignore all irrelevant objects, distinguish vehicles in different lanes and lock on to the closest vehicle in the same lane. In this paper, the hierarchical object recognition algorithm (HORA) is proposed to process raw scanning laser data and acquire valid distance to target vehicle. HORA contains two principal concepts. First, the concept of life quantifies the reliability of range data to filter off the spurious detection and preserve the missing target position. Second, the concept of conformation checks the mobility of each obstacle and tracks the position shift. To estimate and predict the vehicle position Kalman filter is used. Repeatedly updated covariance matrix determines the bound of valid data. The algorithm is emulated on computer and tested on-line with our ACC vehicle.

• 제어로봇시스템학회논문지
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• 제16권5호
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• pp.481-488
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• 2010

Most public guide robots installed in public spots such as exhibition halls and lobbies of department store etc., have poor capability to distinguish the users who require services. As to provide suitable services, public guide robots should have a human detection system that makes it possible to evaluate intention of customers from their movement direction. In this paper, a DPS (Directional Perception System) is realized based on face detection technology. In particular, to catch human movement efficiently and reduce computational time, human detection technology using face rectangle, which is obtained from the human face, is developed. DPS determines which customer needs services of public guide robots by investigating the size and direction of face rectangle. If DPS is adapted, guide service will be provided with more satisfaction and reliability, and power efficiency also can be added up because public guide robots provide services only for the users who expresses their intentions of wanting services explicitly. Finally, through several experiments, the feasibility of the proposed DPS is verified.

• 대한정형도수물리치료학회지
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• 제16권1호
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• pp.64-76
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• 2010

The sacroiliac joint is difficult to appropriately examine and treat because it is extremely complex and also is difficult to distinguish dysfunctions from those of the spine and hip which are highly intergrated functionally. In addition generally traditional x-rays and CT scans also are not beneficial in detecting sacroiliac joint dysfunction. The manipulative physiotherapist should seek to establish a series of relevant finding that build into a case implicating the sacroiliac joint. When deciding to use these diagnostic tests, the examiner must determine if the test will give reliable and useful information that will help in the diagnosis and subsequent treatment. To be useful diagnostic tests must give reliable data and be valid and the most useful methods of determining whether a test is a good test for pathology under consideration are sensitivity and specificity. In the ideal world, one would want a test that has both high sensitivity and high specificity. The purpose of this review is to ascertain diagnostic value on the tests for sacroiliac joint dysfunction by literature.

• 한국광학회지
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• 제28권3호
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• pp.103-107
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• 2017

본 논문에서는 미술품의 광학적 특성을 분석하여 진위감정을 할 수 있는 시스템을 제작해보았다. 기존의 진위감정방법들보다 간단하고 정확한 광학적 진위감정시스템을 이용하여 미술품의 표면을 측정하고 정보를 얻고자 하였다. 첫 번째로 백색광을 이용하여 다양한 색이 칠해져 있는 미술품 표면의 고유한 색상정보를 확인하였다. 두 번째로는 라인레이저를 이용하여 미술품이 가진 표면형상에 대한 정보를 확인하였다. 진위감정시스템의 신뢰성을 평가하기 위해 진작과 비슷한 위작을 제작하여 실험을 진행해 본 결과, 진작과 위작이 서로 다른 데이터를 보여줌으로써 진작으로부터 위작을 쉽게 감별할 수 있었다.