• 제목/요약/키워드: Image of professor

검색결과 54건 처리시간 0.019초

LATERAL CONTROL OF AUTONOMOUS VEHICLE USING SEVENBERG-MARQUARDT NEURAL NETWORK ALGORITHM

  • Kim, Y.-B.;Lee, K.-B.;Kim, Y.-J.;Ahn, O.-S.
    • International Journal of Automotive Technology
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    • 제3권2호
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    • pp.71-78
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    • 2002
  • A new control method far vision-based autonomous vehicle is proposed to determine navigation direction by analyzing lane information from a camera and to navigate a vehicle. In this paper, characteristic featured data points are extracted from lane images using a lane recognition algorithm. Then the vehicle is controlled using new Levenberg-Marquardt neural network algorithm. To verify the usefulness of the algorithm, another algorithm, which utilizes the geometric relation of a camera and vehicle, is introduced. The second one involves transformation from an image coordinate to a vehicle coordinate, then steering is determined from Ackermann angle. The steering scheme using Ackermann angle is heavily depends on the correct geometric data of a vehicle and a camera. Meanwhile, the proposed neural network algorithm does not need geometric relations and it depends on the driving style of human driver. The proposed method is superior than other referenced neural network algorithms such as conjugate gradient method or gradient decent one in autonomous lateral control .

기초간호과학 해부학 교육에의 창의적 교수법 적용 및 효과 (The Application and Effects of Creative Training Techniques to an Anatomy Subject for Biological Nursing Science Education)

  • 정석희
    • Journal of Korean Biological Nursing Science
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    • 제11권2호
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    • pp.183-194
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    • 2009
  • Purpose: It is aimed to empirically apply and examine the effects of Creative Training Techniques (CTT) that focus on student-centered educational environment to an anatomy subject for biological nursing science education. Methods: A triangulation that combines cross-sectional survey and content analysis was used and the data were collected in 2008. Participants were 301 freshmen students attending one junior nursing college in Seoul, Korea. A questionnaire was distributed to 301 students, 289 of whom responded (response rate 96.0%), and used for data analysis. Factor analysis, reliability analysis, and descriptive statistics were conducted by using data analysis SPSS 14.0 KO for Windows programs. In addition contents analysis was conducted. Results: 1) CTT Increased the relationship between professor and students ($3.12{\pm}0.92$), 2) Students preferred the various team leader choosing method ($3.25{\pm}0.93$), 3) Model and image materials helped the learning ($3.71{\pm}0.89$). Conclusion: CTT can be used to enhance students' learning effectiveness. Intervention programs intensified by CTT may be useful to improve students' learning abilities in nursing science education.

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컴퓨터 방사선영상에서 고 관전압 기법을 이용한 안구 입사표면선량 감소에 관한 연구 (A Study on Reducing of Entrance Surface Dose with the Eye in the Computed Radiography by Using High Kilo Voltage Peak Technique)

  • 성열훈;임재동
    • 대한안전경영과학회지
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    • 제13권2호
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    • pp.91-96
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    • 2011
  • The purpose of this study was to minimize of entrance surface dose (ESD) at the eye using high kVp technique in the computed radiography. We used REX-650R (Listem, Korea) general X-ray unit, and external detector with ESD dosimeter of Piranha 657 (RTI Electronics, Sweden). We used head of the whole body phantom. The total 64 images of X-ray anterior-posterior of skull were acquired using the film/screen (F/S) method and the digital of computed radiography method. The three radiology professor of more 10 years of clinical career evaluated a X-rays images in the same space by 5-point scale. The external detector was performed measurement of ESD of three times by same condition on the eye of the head phantom. The good image quality in the F/S method (90 kVp, 2.5 mAs) showed at the minimized ESD of 0.310 ${\pm}$ 0.001 mGy. the good image quality in the computed radiography method (90 kVp, 2.0 mAs) showed at the minimized ESD of 0.180 ${\pm}$ 0.002 mGy (P = 0.002). Finally the radiation dose could reduced about 50% in the computed radiography method more than the F/S method. In addition the eye entrance surface dose using high kVp technique with the computed radiography was reduced 92% more than conventional technique (F/S method).

Experience Way of Artificial Intelligence PLAY Educational Model for Elementary School Students

  • Lee, Kibbm;Moon, Seok-Jae
    • International Journal of Internet, Broadcasting and Communication
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    • 제12권4호
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    • pp.232-237
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    • 2020
  • Given the recent pace of development and expansion of Artificial Intelligence (AI) technology, the influence and ripple effects of AI technology on the whole of our lives will be very large and spread rapidly. The National Artificial Intelligence R&D Strategy, published in 2019, emphasizes the importance of artificial intelligence education for K-12 students. It also mentions STEM education, AI convergence curriculum, and budget for supporting the development of teaching materials and tools. However, it is necessary to create a new type of curriculum at a time when artificial intelligence curriculum has never existed before. With many attempts and discussions going very fast in all countries on almost the same starting line. Also, there is no suitable professor for K-12 students, and it is difficult to make K-12 students understand the concept of AI. In particular, it is difficult to teach elementary school students through professional programming in AI education. It is also difficult to learn tools that can teach AI concepts. In this paper, we propose an educational model for elementary school students to improve their understanding of AI through play or experience. This an experiential education model that combineds exploratory learning and discovery learning using multi-intelligence and the PLAY teaching-learning model to undertand the importance of data training or data required for AI education. This educational model is designed to learn how a computer that knows only binary numbers through UA recognizes images. Through code.org, students were trained to learn AI robots and configured to understand data bias like play. In addition, by learning images directly on a computer through TeachableMachine, a tool capable of supervised learning, to understand the concept of dataset, learning process, and accuracy, and proposed the process of AI inference.

학교 보건 실습 경험에 관한 현상학적 연구 (The Phenomenological Study of School health practice experience of Nursing Students)

  • 우선혜;박영숙
    • 지역사회간호학회지
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    • 제6권2호
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    • pp.161-172
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    • 1995
  • This study was conducted to have better understanding of the students' experience in field practice by school health practice experience. The study subjects were 40 nursing students working in department of nursing K Univ. in C city. This study was approached by phenomenological method. Collected data were analyzed by Colaizzi's method. The results were from the protocol 980 significant statements and organized into 240 formulated meanings. From formulated meaning 89 themes were identified, organized into 18 them clusters, and then into 16 categories. The nursing students took part in the practice with (expectation and readiness) different from those of the clinical practice, expressed wonder at the school which had progressed much more than their primary schools used to be. They said that they began to feel (Fatigue and stress), and that experienced tension for the lack of nursing knowledge and skill during the health education and clinical treatment activity. In addition, they experienced 'ambivalence of satisfaction and something wanted', that is to say, they could have done better by means of video education and health education. The 10-day-school health practice brought about the change in( the image of teacher) and (cognition about the nursing teacher's role), made the students have(love to the client) and (desire to be nursing teacher), and then turned out experience benefical enough to be expressed 'satisfaction' However, they pointed out many problems in (School Eniviroment), (Clinic), (Physical assessment), (Recording and reporting), so they had a chance to apply the school nursing process to the school. The professor should play the role of promoting the learning through the field practice and providing the stimulant of learning to help the learner get as much from the field situation as they could. Therefore, I suggest that the students always have a chance to exchange actual affairs and educational study, and that the concrete discussion and continuous cooperation be done. The professors should keep doing their best to find the way to professors should keep doing their best to find the way to promote the ability of thinking through the process the learners experienced themselves.

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Large Eddy Simulation of Flow around a Bluff Body of Vehicle Shape

  • Jang, Dong-Sik;Lee, Yeon-Won;Doh, Deug-Hee;Toshio Kobayashi;Kang, Chang-Soo
    • Journal of Mechanical Science and Technology
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    • 제15권12호
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    • pp.1835-1844
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    • 2001
  • The turbulent flow with wake, reattachment and recirculation is a very important problem that is related to vehicle dynamics and aerodynamics. The Smagorinsky Model (SM), the Dynamics Subgrid Scale Model (DSM), and the Lagrangian Dynamic Subgrid Scale Model (LDSM) are used to predict the three-dimensional flow field around a bluff body model. The Reynolds number used is 45,000 based on the bulk velocity and the height of the bluff body. The fully developed turbulent flow, which is generated by the driver part, is used for the inlet boundary condition. The Convective boundary condition is imposed on the outlet boundary condition, and the Spalding wall function is used for the wall boundary condition. We compare the results of each model with the results of the PIV measurement. First of all, the LES predicts flow behavior better than the k-$\xi$ turbulence model. When ew compare various LES models, the DSM and the LDSM agree with the PIV experimental data better than the SM in the complex flow, with the separation and the reattachment at the upper front part of th bluff body. But in the rear part of the bluff body, the SM agrees with the PIV experimental results better than them. In this case, the SM predicts overall flow behavior better than the DSM nd the LDSM.

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Fuzzy Color Classifier 와 Convex-hull을 사용한 얼굴 검출 (Face detection using fuzzy color classifier and convex-hull)

  • 박민식;박창우;김원하;박민용
    • 대한전자공학회논문지SP
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    • 제39권2호
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    • pp.69-78
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    • 2002
  • 본 논문에서는 복잡한 배경에서의 얼굴 추출 방법을 제안한다. 제안된 알고리즘은 적응 퍼지 색 분할기법을 사용하여 얼굴색과 머리색을 분할시킨다. 얼굴색 분포는 Y,Cb,Cr 색 공간내에서 유도되어지고, 조명값에 적응적인 퍼지 시스템을 사용하여 얼굴색을 구분해낸다. 머리색은 RGB 색 공간내에서 구분되어진다. 전처리 과정을 거쳐 추출되어진 얼굴색과 머리색 영역에 컨벡스 헐을 적용하여 그들의 관계를 통해 최종적인 얼굴 영역이 추출되어진다. 제안된 방법은 기존의 패턴 매칭 방법에 비해 효율적인 성능을 나타낸다. 제안된 알고리즘의 유효성을 실험을 통해 증명하며, 색 영역에서의 제한 조건 없이 성공적으로 얼굴 영역을 추출해 냄을 알 수 있다.

ZnO를 이용한 초음파 현미경의 제작과 평가 (Scanning Acoustic Microsope System Using 200MHZ ZnO Transducer)

  • 장지원;도시홍;이종규
    • 수산해양기술연구
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    • 제25권4호
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    • pp.200-208
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    • 1989
  • 200MHz ZnO변환기를 이용하여 초음파 현미경을 제작하여, 도미비늘을 화상화하고 광학현미경에 의한 사진과 비교하였다. 그 결과 광학적 반사에 의한 표면의 화상과 초음파의 기계적 탄성적 표면하 반사에 의한 화상에는 다소 차이가 있음을 확인하였다(Fig. 13 및 14). 초음파 현미경은 고체재료 또는 생물조직 상(10(12)등 여러 가지 생물연구 등의 응용이 계획되고 있으며, 특히 초음파 의학의 분야는 그 활용이 눈부실 것으로 예측된다. 초음파 현미경의 제작 그 자체보다, 이것을 도구로 하여 여러 가지 학술적, 기술적 성과가 기대되기 때문에 이 분야의 기초연구가 더욱 중요하게 생각되며 첨단산업분야에서도 비파괴검사 초음파 micro spectroscopy(U.M.S)등과 같은 물질의 탄성적 성질을 micro scale로 계측할 수 있는 등, 많은 활용이 있을 것이 예상된다. 또 초음파 현미경의 방법도 여러 가지이며, 이것을 계측수단으로 일반화하는 문제도 연구할 필요가 있다. 앞으로 광학이나 전자장치 등과 함께 급속한 발전이 기대된다.

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신변보호사 자격취득 학생들의 자격활용 인식에 관한 연구 (A Study on the Utilizing Certificate Awareness for Student Certificate Holders of Private Security Guard)

  • 김일곤
    • 융합보안논문지
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    • 제13권2호
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    • pp.45-54
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    • 2013
  • 2005년 안황권 교수의 도입제안에 따라 경비협회가 시작한 신변보호사 자격제도는 지금까지 7회를 실시하여 국가로 부터 공인을 받았다. 신변보호사 자격제도는 시민생활안전을 충족시키고 아울러 자격 검증을 통해 전문 직능을 보유한 신변보호 전문가를 확보하고자 함이다. 그러나 7회에 걸쳐 신변보호사 자격 검정을 통해 배출된 많은 수의 자격 취득자들은 산업 현장에서의 우선적 채용 인적자원 또는 가산점 부여 등과 같은 혜택을 받지 못하고 있다. 또한 실제 자격을 취득하였음에도 대부분 활용되고 있지 못하고 있다. 이에 본 연구자는 신변보호사 제도와 자격증을 취득한 학생들을 대상으로 활용 실태와 인식에 대하여 탐구하여 문제점을 살펴보고 향후 발전 방안을 제시하고자 한다.

방사선과 학생들의 학과선택 결정요인과 만족에 관한 연구 (A Study on Department Selection Determinants and Satisfaction of Radiology Majors)

  • 여진동;김혜숙;고인호
    • 보건의료산업학회지
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    • 제6권1호
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    • pp.105-116
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    • 2012
  • Some radiology majors at three-year colleges in Daegu and Gyeongsangbuk-Do Province were selected for the research. The survey was conducted by explaining its objectives and distributing the self-administered questionnaires from March 7 to 30, 2011; then, the final analysis was carried out on 122 copies, drawing the following conclusions : 1) 31.1% of the radiology majors were motivated to enter their department by good employment after graduation, and 37.7% were getting information from their parents or relatives in selecting their major. 2) The majority of the respondents wanted to get a job in a big city after graduation on the basis of good pay. 3) Department selection was significantly affected by transportation, department and school image, and school facilities, and the effects were higher among females. 4) Department satisfaction was significantly affected by professor satisfaction, prospects for the department, and support for employment activities, and the effects were higher among females. 5) School satisfaction was significantly affected by satisfaction with school selection decision, good selection, and school environment, and the effects were higher among females. 6) Females were found to have higher professional consciousness as a radiologist, showing statistically significant differences: "the occupation as a radiologist will continue to be developed" at $3.97{\pm}.837$ for males and at $4.55{\pm}.663$ for females and "the occupation as a radiologist is stable and will be help get a life-long job" at $3.82{\pm}.9.08$ for males and at $4.41{\pm}.787$ for females.