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A Study on Technical High School Teachers' Consciousness of Prevention Safety Accidents (안전사고 예방교육 프로그램에 대한 공업고등학교 교사들의 안전의식 연구)

  • Han, Doo-Heui;Jung, Soo-Il
    • Proceedings of the Safety Management and Science Conference
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    • 2009.04a
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    • pp.203-212
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    • 2009
  • The purpose of this study is to collect and analyze Technical High School Teachers' opinions to find out solutions to reduce safety accidents since it is important for teachers to recognize the importance of safety. We surveyed 150 teachers from technical high schools located in Incheon and divided them into three categories and asked their opinions about prevention of safety accidents in laboratories. We also studied their experiences constructing educational environment and making instructional materials for safety eduction to improve safety awareness. Also, we studied whether school safety awareness increases through safety related activities.

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A study on character segmentation and determination of linguistic type for recognition of on-line cursive characters (온라인 연속 필기 문자의 인식을 위한 문자간 구분 및 종류의 결정에 관한 연구)

  • 박강령;전병환;김창수;김우성;김재희
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.34C no.7
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    • pp.61-69
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    • 1997
  • With the vigorous researches in the character recognition, the need to recognize run-on multilingual handwritten characters is increasing to provide uses with more comfortable PUI(pen user interface) environments. In general, many intermediate word candidates word candidates are generated in run-on multilingual recognition because there is no information of ending position and linguistic kind of character. To remove unnecessary word candidates which are generated in run-on multilingual recognition, we classify them into two groups and select the best candidate among the word candidates in the group where the final characater is completed using 5 attributes. In this research, we propose a method in order to select the best one candidate. It is called WRM (Weighted ranking method). The weights are adaptively trained by LMS(Least mean square) learning rule. Results show that the abilities of decision makin gusing weights are much better than those not using weights.

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A Study on the Concept of Soundscape Idea and it's Design (사운드스케이프 사상과 디자인의 개념 설정)

  • Jang, Gil-Soo;Kook, Chan
    • KIEAE Journal
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    • v.4 no.3
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    • pp.161-169
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    • 2004
  • Today, interest in soundscape idea is growing according to recognize the surrounding sounds as design target and to introduce them into environmental spaces positively. The word "soundscape" proposed by Canadian composer R. Murray Schafer is now very popular in the world. So various soundscape designs based on soundscape idea are carried on worldwide for acoustic ecology. Also in Korea, several researchers are carrying on studies about the soundscape, but basic concepts behind soundscape design are insufficiently defined and studied. In that sense, this study aims to review and to arrange the concept of soundscape Idea and soundscape desgn systematically. Through investigation of literature concerning soundscape study, the backgrounds and characteristics about soundscape idea were reviewed and concepts of soundscape design were arranged.

Pattern recognition by shift control of input pattern (입력 영상의 쉬프트 컨트롤에 의한 패턴인식)

  • Kang, M.S.;Cho, D.S.;Kim, B.C.
    • Proceedings of the KIEE Conference
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    • 1992.07a
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    • pp.459-461
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    • 1992
  • This paper presents the new method to recognize the 2D patterns dynamically by rotating the input patterns according to the difference vector. Generally neural network with many patterns leads to various recognition ratio. The dynamic management of input patterns means that we can move pixels to desired locations controlled by the difference vector. We divide dual neural network model into two parts at learning phase, respectively. And then we combine them to construct the total network. Our model has some good results such that it has less number of patterns and reduced learning time. At present, we only discuss the four way movement of input patterns. The research for the complex movement will be fulfilled later.

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Pattern Recognition of Long-term Ecological Data in Community Changes by Using Artificial Neural Networks: Benthic Macroinvertebrates and Chironomids in a Polluted Stream

  • Chon, Tae-Soo;Kwak, Inn-Sil;Park, Young-Seuk
    • The Korean Journal of Ecology
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    • v.23 no.2
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    • pp.89-100
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    • 2000
  • On community data. sampled in regular intervals on a long-term basis. artificial neural networks were implemented to extract information on characterizing patterns of community changes. The Adaptive Resonance Theory and Kohonen Network were both utilized in learning benthic macroinvertebrate communities in the Soktae Stream of the Suyong River collected monthly for three years. Initially, by regarding each monthly collection as a separate sample unit, communities were grouped into similar patterns after training with the networks. Subsequently, changes in communities in a sequence of samplings (e.g., two-month, four-month, etc.) were given as input to the networks. After training, it was possible to recognize new data set in line with the sampling procedure. Through the comparative study on benthic macroinvertebrates with these learning processes, patterns of community changes in chironomids diverged while those of the total benthic macro-invertebrates tended to be more stable.

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A Statistical Approach for Recognizing Emotion from Dance Sequence

  • Park, Han-Hoon;Park, Jong-Il;Kim, Un-Mi;Woontack Woo
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.1161-1164
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    • 2002
  • We propose a simple method that can recognize human emotion from monocular dance image sequences. The method only exploits the information within image sequences and does not require cumbersome attachments like sensors. This makes the method a simple, human-friendly one. Moreover, the method is more robust and efficient by taking into account the statistical property of image sequences based on PCA (Principal Component Analysis). The correct recognition rate in real-time is about 75% in a variety of experiments.

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Overview of Anti-Rheumatoid Drugs

  • Satoh, Tetsuo
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 2001.11a
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    • pp.35-36
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    • 2001
  • According to the recent epidemiological data, the numbers of patients of Reumatoid Arthritis(RA) in the world are reported to be 350mi11ion and 700,000 in the world and in Japan, respectively For the treatment of RA, NASIDs as the first choice drug have been widely used worldwide, and more than 50 NSAIDs have been in market up to today in Japan. Early 1990s, DMARDs as the new drug for RA treatment came into market, and the number of DMARDs has been increased every year. These drugs are recognized to have several advantages in treatment of RA, however, disadvantages are also reported, i.e., (1) high incidence of side effects, (2) high non-responder population, (3) decreased efficacy in chronic treatment, and (4) slow starting of the efficacy. For example, Methotrexate which has been widely used as the immunosuppressant has been recently used for treatment of Reumatoid. However, this drug has several disadvantages such as 60-70% improvement of the disease, 80% incidence of side effects, and 2-4 weeks to recognize the efficacy after treatment. In addition to these two.

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Teachers Recongintion about Elementaty Schools Mathematics Performancs Assessment (초등학교 교사들의 수학과 수행평가에 대한 인식)

  • 박종서;박해순
    • Education of Primary School Mathematics
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    • v.4 no.2
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    • pp.151-163
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    • 2000
  • This research is the object to investigate these thing; how do teachers undertaking at the spot classrooms to recognize performance assessment and how do they decide to question and how go the present practiced state and what is the problem points in the present performance assessment. Additonal things of problem point like a research object are following; Lets look over recognition, actual situations and various problems for mathematics performance assessment of elementary school teachers. Concerning question papers, the problem largely lie in 4 regions, that is to say the recognition of performance assessment, the current state of affairs in practice, deciding questions and problems of putting theory into practices, of the 480 teachers-the object of our studies-about 380 returned our questionaire. However, as there were too many in the age range 30 to 40 are excluded 80, choosing 300 to us as data in our analysis.

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An Innovative Scalp-Dyeing Technique with Gentian Violet Solution During Follicular Unit Extraction for White-Haired Follicular Units

  • Moon, Min Seon;Choi, Jong Pil
    • Archives of Plastic Surgery
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    • v.44 no.2
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    • pp.170-172
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    • 2017
  • There exist some restrictions and difficulties in performing follicular unit extraction (FUE) in white-haired patients, for several reasons. In this paper, we introduce a novel technique for visualizing white hair during the punching procedure and graft preparation in FUE for white-haired patients. In white-haired older male patients, we dyed the surrounding scalp skin purple with a gentian violet solution-stained toothpick. Our method has several advantages: surgeons can easily focus on the center of the follicular unit and rapidly perform punching, they can recognize the condition of the harvested follicular units during FUE, and the hair transplant team can secure a clear view for trimming and loading into the implanter. We suggest that scalp dyeing in difficult FUE procedures, especially in patients with white hair, may be a simple method that provides a good visualization for donor site harvesting and for microdissection.

Image segmentation by fusing multiple images obtained under different illumination conditions (조명조건이 다른 다수영상의 융합을 통한 영상의 분할기법)

  • Chun, Yoon-San;Hahn, Hern-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.1 no.2
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    • pp.105-111
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    • 1995
  • This paper proposes a segmentation algorithm using gray-level discontinuity and surface reflectance ratio of input images obtained under different illumination conditions. Each image is divided by a certain number of subregions based on the thresholds. The thresholds are determined using the histogram of fusion image which is obtained by ANDing the multiple input images. The subregions of images are projected on the eigenspace where their bases are the major eigenvectors of image matrix. Points in the eigenspace are classified into two clusters. Images associated with the bigger cluster are fused by revised ANDing to form a combined edge image. Missing edges are detected using surface reflectance ration and chain code. The proposed algorithm obtains more accurate edge information and allows to more efficiently recognize the environment under various illumination conditions.

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