• Korean Journal of Human Ecology
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• v.9 no.4
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• pp.5-14
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• 2006

The purpose of this study was to identify the effect of social support and self-efficacy on career decision level among female university students. Data was collected by questionnaires from 380 students at 3 universities in Jeonnam province and Gwangju city, Korea. The results were as follows. First, the average levels of social support, self-efficacy and career decision were over middle point(2.5point). The best of them was self-efficacy. Second, the lowest level of them by grade was commonly freshman female students. But there were no significant differences by major except for soczzzzzial support. Third, the effective sub-variables of social support which have influenced on career decision level were self-esteem support and evaluated support. Forth, the impactive sub-variables of self-efficacy which have influenced on career decision level showed general self-efficacy. Fifth, the significant sub-variables of social support which have influenced on self-efficacy were self-esteem support and material support. This study suggested that the high levels of self esteem social support and general self-efficacy led students to improve in career decision level. Here showed that the effect by grade or group on study was more clear than that by major.

• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.530-532
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• 2006

In this paper, we propose stable walking algorithm using ZMP for the biped robot in the slope-way. At first, we define discrete state variables that classified stable area and unstable area by center of mass from ZMP during slope-way walking. For the stable walking gait, the discrete state controller for determining the high-level and low-level decision making are designed. The high-level decision making is composed of the discrete state variables; left foot support phase, right foot support phase, flat-way, and slope-way. Then the continuous state controller is implemented for the low-level decision making using ZMP.

• 재활복지
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• v.18 no.4
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• pp.145-164
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• 2014

The purpose of the study is to examine the relationships of parents' satisfaction towards their children's school education and the demographic variables associated with decision-making on post high school academic completion of parents of the students with disabilities. The Korean Education Longitudinal Study data, which contained the responses of 162 parents of high school students with mild disabilities who enrolled in regular high schools, was used for the study. For data analysis, descriptive statistics, ordinal logistic regression analysis, and chi-square test were used. As a result, provision of college entrance related information/consultation, improvement of academic performance level, collaboration/ communication between the teachers and parents, and overall school education were significantly related to parents' decision-making on their children's post high school academic completion. Also, mothers' educational level showed significant difference in parents' decision-making on their children's post high school academic completion.

• Journal of KIISE:Software and Applications
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• v.34 no.1
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• pp.18-29
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• 2007

In this paper we present a system that classifies brain MR images by using 2 level decision tree learning. There are two kinds of information that can be obtained from images. One is the low-level features such as size, color, texture, and contour that can be acquired directly from the raw images, and the other is the high-level features such as existence of certain object, spatial relations between different parts that must be obtained through the interpretation of segmented images. Learning and classification should be performed based on the high-level features to classify images according to their semantic meaning. The proposed system applies decision tree learning to each level separately, and the high-level features are synthesized from the results of low-level classification. The experimental results with a set of brain MR images with tumor are discussed. Several experimental results that show the effectiveness of the proposed system are also presented.

• Journal of Engineering Education Research
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• v.12 no.3
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• pp.73-78
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• 2009

The purpose of the study was to analyze the career decision level and career preparation behavior of 2-3 and 4 year college students majoring in science and engineering. We used the raw data of KEEP(Korean Education & Employment Panel) survey. In the results, we found that the career decision level of the subjects had no relationship with gender, high school type, university level, and study fields. On the other hand, in terms of the career preparation behavior, male students had more concrete perception regarding future jobs and tasks in labor market than female counterparts. In addition, 4 year college students were more positive and directed to pursue the career search planning and activities than 2 or 3 year college students. Finally, the students who had high career decision level could identify future job-related tasks, direction, rewards, and skill matches. We suggested that early career education and counselling should be provided for freshman or sophomore level students majoring in science and engineering at colleges and universities.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.4
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• pp.235-242
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• 2016

The emerging High-Efficiency Video Coding (HEVC) standard attempts to improve coding efficiency by a factor of two over H.264/Advanced Video Coding (AVC) at the expense of an increase in computational complexity. Mode decision with motion estimation (ME) is still one of the most time-consuming computations in HEVC, as it is with H.264/AVC. Thus, fast mode decisions are not only an important issue to be researched, but also an urgent one. Several schemes for fast mode decisions have been presented in reference software and in other studies. However, the conventional hierarchical mode decision can be useless when block-level parallelism is exploited. This paper proposes operation-level exploration that offers more chances for early termination. An early termination condition is checked between integer and fractional MEs and between the parts of one partition type. The fast decision points of the proposed algorithm do not overlap those in previous works. Thus, the proposed algorithms are easily used with other fast algorithms, and consequently, independent speed-up is possible.

• Journal of Fisheries and Marine Sciences Education
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• v.20 no.2
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• pp.286-296
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• 2008

This study aims to examine the relationship between teachers' parcitipation levels in the decision making process and the organizational effectiveness in the middle schools. To achieve this objectives, 559 teachers of 18 middle schools in Busan were involved through a questionaire. The results are as follows: First, teachers consider their participation in decision-making to be low. Second, teachers view the effectiveness of school systems higher than average. Third, the correlation between teachers' participation and the system effectiveness (including job satisfaction, organization adaptability and job achievement) was positively high. When teachers' participation levels were divided into 3 groups - low, middle, and high-, the system effectiveness appeared highest with the high- level participation group. These results suggest the need for teacher participation in decision making to enhance the effectiveness of school systems.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.11
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• pp.1870-1879
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• 2010

This study aimed at examining the career decision level of Clothing and Textile major college students in Seoul area. With the increasing rates of youth unemployment, preparing college students for their future career and guiding them in making career decision is imperative. Students' satisfaction with their major and motivation orientation were considered as influencing factors, as well as their demographic characteristics. A survey was conducted to 282 students majoring Clothing and Textiles at seven universities and 277 completed questionnaires were used for analysis. The questionnaire measured respondents' major satisfaction, motivational orientation, career decision level, and demographics (gender, age, school and department names, class standing, expected graduation date, subjective social status, and GPA). Descriptive statistics, K-means cluster analysis, one-way analysis of variance followed by Duncan multiple comparisons were conducted. The results indicated that Clothing and Textiles majors were overall satisfied with their major, but the satisfaction level was higher for female than male students. Those who were satisfied with their major were less likely to feel anxious about career decision-making. The High-Motivation group and the Intrinsic-Motivation group showed lower anxiety over career decision-making compared to Low-Motivation and Extrinsic-Motivation groups. This study has implications for college advisors in that it provides basic information on students' career decision level and the influencing factors.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.5
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• pp.1-12
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• 1999

A new algorithm of constructing binary decision diagram(BDD) for design verification of switch-level circuits is proposed in this paper. In the switch-level circuit, functions are characterized by serial and parallel connections of switches and the final logic values may have high-impedance and unstable states in addition to the logic values of 0 and 1. We extend the BDD to represent functions of switch-level circuits as acyclic graphs so called switch-level binary decision diagram (SLBDD). The function representation of the graph is in the worst case, exponential to the number of inputs. Thus, the ordering of decision variables plays a major role in graph sizes. Under the existence of pass-transistors and domino-logic of precharging circuitry, we also propose an input ordering algorithm for the efficiency in graph sizes. We conducted several experiments on various benchmark circuits and the results show that our algorithm is efficient enough to apply to functional simulation, power estimation, and fault-simulation of switch-level design.

• Journal of Fisheries and Marine Sciences Education
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• v.4 no.1
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• pp.16-29
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• 1992

1. Purpose of the study: This study was to investigate and analyse the career decision making patterns of students, which would enhance vocational guidance activities for the students. The specific purposes of the study are as follows. 1) To find how much the fisheries high school students are satisfied with the school. 2) To find out the factors which would influence the fisheries high school students in their career decision making. 3) To find out the person who plays the most important role in the career decision making of the students 4) To find out the patterns of behavior taken by the fisheries high school students in their career decision making. 2. Hypotheses: The following hypotheses were tested for this study. 1) There would be significant differences in the extent of school-satisfaction, depending on the class level and major. 2) There would be significant differences in the value criterion with which the fisheries high school students make decisions on their careers, depending on the grades, majors, and the levels of school-satisfaction. 3) There would be significant differences in the human factors which affect their decision-making on their career, depending on the class levels, majors, and the levels of school satisfaction. 4) There would be significant differences in the patterns of behavior they take when they make decisions on their careers depending on the grades, majors and the levels of school satisfaction. 3. Methods of the study: For the verification of the above hypotheses, a questionaire was developed by the researcher, and the questionaire was answered by the total 440 students from three fisheries high schools, located in the rural and urban areas, out of 8 fisheries high schools in Korea. The questionaire was composed of two major parts: school-satisfaction (10 items) and career decision making patterns (39 items). The career decision-making patterns include 16 value criterion items, 10 human category items, and 13 behavior category items. 4. Results of the study: 1) School satisfaction; There was no significant difference in school satisfaction depending on the class level and major. 2) Value criteria; a) Almost of the fisheries high school students think that the potential for advancement, job security, and salary are important factors for their job. b) The seafarer-students rated the salary, prestige of the occupation and leadership to be important than the nonseafarer-students. The nonseafarer-students rated the stabilization of their livelihood and opportunity to use their creative ideas than the seafarer-students. c) The students unsatisfied with their school emphasize the working environment, variety of work duties and leisure more than the satisfied ones. 3) Human factors: a) The fisheries high school students are affected most by their homeroom teachers, major teachers and their parents, but they are less influenced by their counselor. b) The seniors are more affected by their friends or classmates than the freshmen, and especially seafarer-students are more affected by major teachers. c) The persons, who are working in the occupation they are interested in, exert more influence on unsatisfied students than class-teachers do. 4) Behavior patterns; a) Most of them want test their abilities. b) The nonseafarer-students and seniors tend to depend on their own intuitions. c) The seafarer-students, the freshmen, and the satisfied with their school tend to discuss with other persons, and the unsatisfied tend to be influenced by the information that they collect for themselves.