• Title/Summary/Keyword: The Normalization of High School Education

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A Study on High School-College Articulation according to the Results of Awareness Survey (인식조사를 기반으로 한 고교-대학 연계 방안 모색)

  • Kim, Kyung-Hwa
    • The Journal of the Korea Contents Association
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    • v.16 no.9
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    • pp.185-197
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    • 2016
  • The purpose of this study was to make an empirical analysis of the influence of the participation of students in high school-college articulation programs during their high school days on their career or college entrance in an effort to explore how to ensure successful high school-college articulation to facilitate the normalization of public education. The subjects in this study were 371 students in a college and 62 high school teachers. After a survey was conducted, the following findings were given: As for the participation rate of high school-college articulation programs, the largest number of the students attended "college entrance presentations," and the second most popular programs were about major/career exploration. The participation rate of the girls was higher than that of the boys. As a result of comparing the impact of these programs on college entrance by different types of admission process, "college entrance counseling programs" exercised a larger influence on college entrance through the admission officer system. The teachers responded that "major/career exploration" was the high school-college articulation program which had the best effects on the normalization high school education and college admission. The findings of the study imply that it can make it possible to expedite the normalization of public education if diverse efforts are directed into high school-college articulation and its improvement.

A Study of the Enhancing Educational Capacity of General High-school in Gyeongsangbuk-do : Focusing on Curriculum and Career Education (경상북도 일반고의 교육역량 강화 방안 - 교육과정 및 진로교육 측면 -)

  • Kwon, Dong-Taik;Kim, Jung-Hee
    • Korean Journal of Comparative Education
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    • v.24 no.3
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    • pp.25-45
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    • 2014
  • The system of high-school recently diversified, but there are criticisms that general high-schools relatively fall into crisis. The purpose of this paper is to discuss suggestion on the enhancing educational capacity of general high-school in Gyeongsangbuk-do. In this paper, there needs to be evoke sympathy for development, strengthen educational responsibility, substantially guarantee curriculum autonomy, pursuit diversity of student-customized curriculum, integrate curriculum and career education, and flexibly manage teacher selection and disposition for educational capacity of general high-school. In a career educational point of view, there needs to be organize curriculum coincidentally with students' career, aptitude and interest, to describe clearly roles of school and community for career education, and to guarantee the right of subject choice in school. We should believe normalization of general high-school is namely substantiality of career education.

Modeling of surface roughness in electro-discharge machining using artificial neural networks

  • Cavaleri, Liborio;Chatzarakis, George E.;Trapani, Fabio Di;Douvika, Maria G.;Roinos, Konstantinos;Vaxevanidis, Nikolaos M.;Asteris, Panagiotis G.
    • Advances in materials Research
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    • v.6 no.2
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    • pp.169-184
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    • 2017
  • Electro-Discharge machining (EDM) is a thermal process comprising a complex metal removal mechanism. This method works by forming of a plasma channel between the tool and the workpiece electrodes leading to the melting and evaporation of the material to be removed. EDM is considered especially suitable for machining complex contours with high accuracy, as well as for materials that are not amenable to conventional removal methods. However, several phenomena can arise and adversely affect the surface integrity of EDMed workpieces. These have to be taken into account and studied in order to optimize the process. Recently, artificial neural networks (ANN) have emerged as a novel modeling technique that can provide reliable results and readily, be integrated into several technological areas. In this paper, we use an ANN, namely, the multi-layer perceptron and the back propagation network (BPNN) to predict the mean surface roughness of electro-discharge machined surfaces. The comparison of the derived results with experimental findings demonstrates the promising potential of using back propagation neural networks (BPNNs) for getting a reliable and robust approximation of the Surface Roughness of Electro-discharge Machined Components.

Ecological Viewpoint of Evolution in Physical Education (체육교과 진화에 관한 생태학적 조망)

  • Kim, Chae-Woon;Yi, Joo-Wook
    • The Journal of the Korea Contents Association
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    • v.9 no.2
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    • pp.400-409
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    • 2009
  • This study purports to review and discuss the evolution of Physical Education in terms of ecological viewpoint. To achieve this purpose, this study try to look for the meanings through the 2007 revised physical education curriculum. The reason that I look for the meanings from the curriculum is because the curriculum includes objectives, values and philosophical backgrounds in Physical Education. Through this study, I found the following results. Governmental active supports to reinforce roles of in-service teachers should be emphasized. Second, teacher should focus on Game strategies for Physical Education. Third, mental function for activities in Physical Education should be considered as an intelligence as one of H. Gardner's multiple intelligences rather than they are just accepted as the level of functions or a motor nerves. Fourth, Physical Education for 11 and 12 grades should be accepted as a requirement to maintain Physical Education. classes in high school as a normalization process.

Efficient Fixed-Point Representation for ResNet-50 Convolutional Neural Network (ResNet-50 합성곱 신경망을 위한 고정 소수점 표현 방법)

  • Kang, Hyeong-Ju
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.1
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    • pp.1-8
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    • 2018
  • Recently, the convolutional neural network shows high performance in many computer vision tasks. However, convolutional neural networks require enormous amount of operation, so it is difficult to adopt them in the embedded environments. To solve this problem, many studies are performed on the ASIC or FPGA implementation, where an efficient representation method is required. The fixed-point representation is adequate for the ASIC or FPGA implementation but causes a performance degradation. This paper proposes a separate optimization of representations for the convolutional layers and the batch normalization layers. With the proposed method, the required bit width for the convolutional layers is reduced from 16 bits to 10 bits for the ResNet-50 neural network. Since the computation amount of the convolutional layers occupies the most of the entire computation, the bit width reduction in the convolutional layers enables the efficient implementation of the convolutional neural networks.