• 한국산학기술학회논문지
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• 제9권5호
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• pp.1479-1486
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• 2008

최근 국내대학 전반에 걸쳐서 공과대학의 우수 지원자가 점차로 감소되고 있는 상황이며 고등학교 수학 교육과정의 부실과에 따른 신입생의 학력저하에 대한 우려 또한 제기되고 있다. 이러한 위기상황에 대응하여 상명대학교에서는 공학교육의 발전 및 혁신을 위해 공학교육 혁신센터를 운영하고 있다. 공학교육 혁신센터는 공학교육 혁신을 위한 장기계획의 일환으로 수학 분야의 교육 강화를 위한 여러 가지 방안을 논의하여 도출하고 있다. 본 논문에서는 상명대학교에서 논의하여 도출한 수학 교육 강화방안을 제시한다. 이러한 결과들은 상명대학교 공과대학과 유사한 환경에 처해있는 다른 학교들의 수학 교육 강화를 위한 참고자료로 활용될 수 있을 것이다.

• 대한의용생체공학회:의공학회지
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• 제17권4호
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• pp.427-432
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• 1996

The primary purpose of port filming is to verify the treatment volume under treatment. Although the image quality with the megavoltage x-ray beam is poorer than with the diagnostic or the simulator film. This paper proposes an edge-adaptive Kalman filter for the image enhancement of port films. Suggested filtering procedure preserves edge information and eliminates edge noise and inside and outside treatment area preserving treatment boundary.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.115-117
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• 2009

This paper presents localization performance enhancement on GPS interfering spot for mobile robot. Localization system applied Extended Kalman filter algorithm that utilized Diffrential GPS and odometry, inertial sensors. In this paper, different noise covariance is applied to Extended Kalman Filter according to the GPS quality. Experiment results show that proposed localization system improve considerably localization performance of mobile robots.

• 융합정보논문지
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• 제7권4호
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• pp.113-119
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• 2017

본 연구의 목적은 사회복지시설종사자의 융합적 직무역량강화가 삶의 질에 영향을 미치는지를 검증하는 것이다. 연구의 목적을 달성하기 위해 서울시 20개, 경기지역 20개 사회복지시설에 근무하는 사회복지종사자들을 대상으로 설문을 하였고, 회수된 188부를 연구에 사용하였다. 표본추출법은 비확률표집법에서 임의표집법을 활용하였다. 연구결과, 사회복지종사자의 역량강화정도와 삶의 질간의 관계에서 살펴보면 개인역량과 만족감, 환경역량과 불만족감, 관계역량과 만족감에서만 정적인 상관이 있었고, 나머지영역에서는 상관이 없는 것으로 나타났다. 그리고 사회복지종사자의 개인역량, 환경역량이 불만족감에 정(+)적인 역할을 하는 것으로 나타났다. 또한, 관계역량이 불만족감에 부(-)적인 역할을 하는 것을 볼 수 있다. 개인역량정도, 이직하고자 하는 마음을 통제하는 역량정도, 관계역량이 만족감에 정(+)적인 역할을 하는 것을 볼 수 있다. 따라서 사회복지종사자의 삶의 질을 향상시키기 위해서는 사회 복지종사자들을 대상으로 직무역량강화 교육프로그램을 실행할 때에 긍정적인 효과가 있을 것으로 기대한다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2000년도 춘계학술대회 논문집
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• pp.917-921
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• 2000

One of the major limitations of productivity and quality in machining is machining accuracy of the machine tools. The machining accuracy is affected by geometric, volumetric errors of the machine tools. This paper suggests the enhancement method of machining accuracy for precision machining of high quality metal reflection mirror or optics lens, etc. In this paper, we study 1) the compensation of linear pitch error with NC controller compensation function using laser interferometer measurement, 2) the method for enhancing the accuracy of NC milling machining by modeling and compensation of volumetric error, 3) the generation of the parabolic face profile. And the method is verified by the parabolic face machining experiment with a vertical three axes NC milling machine. After this study, we will inspect using On-machine measurement and study the repetitive machining by a compensated path

• 한국산업안전학회:학술대회논문집
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• 한국안전학회 1998년도 춘계 학술논문발표회 논문집
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• pp.265-270
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• 1998

As the goal of enterprises is to pursuit benefits, the goal of safety management is not only preventing accidents but also promoting benefits and productivity. However, enterprises have failed to realize the necessity of safety management, partly because they didn't grasp any appropriate evidences advocating effectiveness of safety management. This study aimed to survey construction-site engineers' consciousness on safety management contributing to cost reduction, construction period and quality enhancement. The result of this study showed that constriction-site engineers recognized the ratio of direct cost to Indirect cost as 1:2. The proportion of repliers who thought that safety management is contributable to cost reduction was 35％, to construction period was 20％, and to quality enhancement was 48％. The construction sites with excellent safety accomplisments also had good work and selling amounts.

• 반도체디스플레이기술학회지
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• 제23권2호
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• pp.23-27
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• 2024

Underwater images are typically degraded due to color distortion, light absorption, scattering, and noise from artificial light sources. Restoration of these images is an essential task in many underwater applications. In this paper, we propose a two-phase deep learning-based method, Underwater Deep Curve Estimation (UWDCE), designed to effectively enhance the quality of underwater images. The first phase involves a white balancing and color correction technique to compensate for color imbalances. The second phase introduces a novel deep learning model, UWDCE, to learn the mapping between the color-corrected image and its best-fitting curve parameter maps. The model operates iteratively, applying light-enhancement curves to achieve better contrast and maintain pixel values within a normalized range. The results demonstrate the effectiveness of our method, producing higher-quality images compared to state-of-the-art methods.

• 한국초등과학교육학회지:초등과학교육
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• 제27권2호
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• pp.93-101
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• 2008

We investigated the characteristics of lesson session and the professional development of teachers who conduct good teaching science subject. Seven teachers' were selected the finalists at the elementary school science and teaching competition. The study was based on a semi-structured questionnaire and interviews. To prove validity of the study, the collected data were verified by subject teachers for feedback. The results showed that the teachers believed that their lesson contents and methods were superior to other teachers. To enhance professional development in their lessons, they are only being made through help from colleagues and personal efforts, and a systematic development was involved with necessary situation. As a plan for enhancing an effective quality enhancement of lessons, open classes and conversation between colleagues were proposed. An organization or a group that can motivate teachers and provide systematic support for quality enhancement of lessons by teachers is needed.

• 인터넷정보학회논문지
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• 제8권5호
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• pp.151-160
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• 2007

다양한 분석 정보를 추출하여 저장하는 데이터웨어하우스는 기업의 마케팅 및 의사결정 지원을 위해 사용된다. 그러나 데이터웨어하우스는 분산되어 저장된 대규모의 데이터를 통합하기 때문에 처리 시간과 비용이 증가하며 오류 발생의 위험이 높다. 따라서 개발생산성의 향상 및 비용을 절감하기 위해 본 연구에서는 생산성, 프로세스 품질, 데이터 품질의 영역에서 프로세스 측정지표를 설계하여 제안한다. 또한 측정 지표를 이용하여 프로세스를 평가하고 평가결과를 분석하여 개발생산성의 향상과 프로세스가 개선됨을 보인다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.522-524
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• 2019

In spite of a rapid development in the quality of built-in mobile cameras, their some physical restrictions hinder them to achieve the satisfactory results of digital single lens reflex (DSLR) cameras. In this work we propose an end-to-end deep learning method to translate ordinary images by mobile cameras into DSLR-quality photos. The method is based on the framework of generative adversarial networks (GANs) with several improvements. First, we combined the U-Net with DenseNet and connected dense block (DB) in terms of U-Net. The Dense U-Net acts as the generator in our GAN model. Then, we improved the perceptual loss by using the VGG features and pixel-wise content, which could provide stronger supervision for contrast enhancement and texture recovery.