• Title/Summary/Keyword: 인식 비교

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Comparison of high school administrators' perception and teachers' on the introduction and utilization of "Instruction to Intellectual Property" based on the 2015 Revised National Curriculum (2015 개정 교육과정에 기초한 고등학교 '지식 재산 일반' 교과의 도입과 활용에 대한 학교 관리자와 교사의 인식 비교 연구)

  • Lim, Yun-Jin;Lee, Gun-Hwan;Park, Kyung-Sun
    • 대한공업교육학회지
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    • v.42 no.1
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    • pp.68-86
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    • 2017
  • The study aims to find the strategies to support the successful settlement of "Introduction to Intellectual Property" which was established as a new subject based on the 2015 Revised National Curriculum in order to assist high school students to explore career choices. For the research purpose accomplished, the study was performed to compare high school administrators' perception with teachers' regarding how they differently perceive the introduction and utilization of "Introduction to Intellectual Property" in the educational environment of high schools. The survey tool was developed through the content investigation of two experts in the field of invention education. Questionnaires were administered to 115 participants in a training course run by KIPA(Korea Invention Promotion Association) for high school administrators and teachers, which lasted for one month, December in the year of 2016. However, 95 questionnaires were analyzed for the research. SPSS 22.K was utilized for data analysis with the 5% significance level. The study findings are as follow: First, both administrators' group and teachers' showed the moderate level of perception according to the necessity of the subject as well as the curriculum content of "Introduction to Intellectual Property". Second, the two groups presented the above-average of preception according to the utilization of the subject, and the high level of perception regarding the necessity of strategies for the successful settlement in high schools. Third, teachers' perception on the curriculum of "Introduction to Intellectual Property" was higher than administrators' within the statistically significant level. Moreover, the two groups showed the significant difference only in the effort to facilitate intramural activities based on the subject regarding perceiving the necessity of the subject.

A Study on the Perceptions of Family in Social Workers and Clients. (사회복지사와 클라이언트의 가족인식 연구)

  • Kim, In-Sook;Yoo, Young-Joon
    • Korean Journal of Social Welfare
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    • v.56 no.1
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    • pp.283-307
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    • 2004
  • The purpose of this study is to compare the perception on family of social workers and clients. Perception of family concept, family function is changing as times passes. But social worker is facing a dilemma because of differences of the perception on family. In order to compare between social worker and client concepts on family, this study compare family concept, familism, gender egalitarianism. Data for analysis were collected from 131 social workers and 134 clients who were purposive sampled. Social worker's recognition of family concept is more acceptable than client's family typology, functional family concept. Analysis shows that client group more higher familism and clients have a low opinion of gender egalitarianism. Thus, social worker may have conflicted with client's family while social worker practices case management or prograss family welfare services. In order to examine the influencing factors on family perception, the defined factors were self-efficacy, family of orgin perception. Controlling for sex, old, marriage on family perception were examined. There were significant effect of old, family-orgin perception to the client's family concept, familism, gender egalitarianism. On the contrary there were significant effect of sex, self-efficacy to the social worker's familism, gender egalitarianism. In conclusion, this study confirmed the difference of family perceptions between social worker and client. But the result of this study suggest that family social work procession or intervention will be investigated concretely.

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Factors of Successful Aging and the Effect on Life Satisfaction by the Recognition of Old Age (노후연령인식 여부에 따른 성공적 노화 구성요소 차이 및 삶의 만족도에 미치는 영향)

  • Kim, Mee Ryoung
    • Korean Journal of Social Welfare
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    • v.65 no.1
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    • pp.227-245
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    • 2013
  • This study used the third wave of individual data of KReIs(Korean Retirement and Income Study) because the third wave of data only had the necessary variables which fit into this study. The data was collected in 2010 using national random sampling. The target population was adults who are older than 65 and the sample size of this study was 4,080. The factors of successful aging were compared by the recognition of old age (group (1): people who recognize they are not older adults(n=620); group (2): people who recognize they are older adults(n=3,460)). For comparison of each variable by the recognition of old age, t-test, chi-square test and ANCOVA were used depending on the types of variables. To test the effect on the life satisfaction of the factors of successful aging, hierarchical regressions were used for each group. 1) Except for the number of leisure activities, older adults who recognized they were not old(group (1)) had a higher level of factors composing of successful aging than older adults who recognized they were old(group (2)). 2) For group (1), age did not affect their life satisfaction in a statistically significant level, but for group (2) age negatively affected their life satisfaction. 3) The results indicated that cognitive and physical functioning were more important than avoiding disease and disability. 4) For group (2), IADL affected life satisfaction positively in a statistically significant level, but for group (1), IADL did not affect life satisfaction. 5) For group(2), whether they had a job or not affected the life satisfaction differently.

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The Comparison of Perceptions of Science-related Career Between General and Science Gifted Middle School Students using Semantic Network Analysis (과학영재 중학생들과 일반 중학생들의 과학과 관련된 직업에 대한 인식 비교: 언어 네트워크 분석법 중심으로)

  • Shin, Sein;Lee, Jun-Ki;Ha, Minsu;Lee, Tae-Kyong;Jung, Young-Hee
    • Journal of Gifted/Talented Education
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    • v.25 no.5
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    • pp.673-696
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    • 2015
  • Students' perception of science-related career strongly influences the formation of career motivation in science. Especially, the high level of science gifted students' positive perceptions plays an important role in allowing them to continue to study science. This study compared perceptions of science-related career between general and gifted middle school students using semantic network analysis. To ensure this end, we first structuralize semantic networks of science-related careers that students perceived. Then, we identified the characters of networks that two different student groups showed based on the structure matrix indices of semantic network analysis. The findings illustrated that the number of science-related careers shown in science gifted students' answer is more than in general students' answer. In addition, the science gifted students perceived more diverse science-related careers than general students. Second, scientific career such as natural scientists and professors were shown in the core of science gifted students' perception network whereas non-research oriented careers such as science teachers and doctors were shown in the core of general students' perception network. In this study, we identified the science gifted students' perceptions of science-related career was significantly different from the general students'. The findings of current study can be used for the science teachers to advise science gifted students on science-related careers.

A Study on the Changes in the Domestic Start-up Environment and Start-up Perception: Focusing on the changes in 2016 and 2021 (국내 창업환경 및 창업인식 변화에 관한 연구: 2016년과 2021년 변화를 중심으로)

  • Nam, Jung-Min;Lee, Sung-Ho;Lee, So-Jung;You, Hyun-Kyung
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.6
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    • pp.145-155
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    • 2021
  • This study aims to examine the results of start-up policies of the previous government (2013-2017) and the current government (2017-2022). We would like to compare the perceptions of founders on the domestic start-up environment in 2016 and 2021. Based on the data (GETR) that surveyed the perception of the startup environment in 2016, a trend survey was conducted to compare the perception of the start-up environment of founders in 2021. As a result of the study, the founder's perception of the domestic start-up environment changed positively overall, but there was no significant change in the perception of 'tax adequacy', 'easy to recover investment', and 'easy to transfer technology'. In addition, the perception of the start-up environment of livelihood founders was negative compared to opportunity-type start-ups. As such, different results were found for each type of start-up. This study analyzed the difference in perception of the past and present start-up environment from the perspective of founders. In particular, I would like to propose a plan to improve the quality of the domestic start-up environment by seeking support measures for livelihood-type start-ups that have collapsed due to COVID-19.

Large-Scale Hangul Font Recognition Using Deep Learning (딥러닝을 이용한 대규모 한글 폰트 인식)

  • Yang, Jin-Hyeok;Kwak, Hyo-Bin;Kim, In-Jung
    • Annual Conference on Human and Language Technology
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    • 2017.10a
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    • pp.8-12
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    • 2017
  • 본 연구에서는 딥러닝을 이용해 3300종에 이르는 다양한 한글 폰트를 인식하였다. 폰트는 디자인 분야에 있어서 필수적인 요소이며 문화적으로도 중요하다. 한글은 영어권 언어에 비해 훨씬 많은 문자를 포함하고 있기 때문에 한글 폰트 인식은 영어권 폰트 인식보다 어렵다. 본 연구에서는 최근 다양한 영상 인식 분야에서 좋은 성능을 보이고 있는 CNN을 이용해 한글 폰트 인식을 수행하였다. 과거에 이루어진 대부분의 폰트 인식 연구에서는 불과 수 십 종의 폰트 만을 대상으로 하였다. 최근에 이르러서야 2000종 이상의 대용량 폰트 인식에 대한 연구결과가 발표되었으나, 이들은 주로 문자의 수가 적은 영어권 문자들을 대상으로 하고 있다. 본 연구에서는 CNN을 이용해 3300종에 이르는 다양한 한글 폰트를 인식하였다. 많은 수의 폰트를 인식하기 위해 두 가지 구조의 CNN을 이용해 폰트인식기를 구성하고, 실험을 통해 이들을 비교 평가하였다. 특히, 본 연구에서는 3300종의 한글 폰트를 효과적으로 인식하면서도 학습 시간과 파라미터의 수를 줄이고 구조를 단순화하는 방향으로 모델을 개선하였다. 제안하는 모델은 3300종의 한글 폰트에 대하여 상위 1위 인식률 94.55%, 상위 5위 인식률 99.91%의 성능을 보였다.

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Large-Scale Hangul Font Recognition Using Deep Learning (딥러닝을 이용한 대규모 한글 폰트 인식)

  • Yang, Jin-Hyeok;Kwak, Hyo-Bin;Kim, In-Jung
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.8-12
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    • 2017
  • 본 연구에서는 딥러닝을 이용해 3300종에 이르는 다양한 한글 폰트를 인식하였다. 폰트는 디자인 분야에 있어서 필수적인 요소이며 문화적으로도 중요하다. 한글은 영어권 언어에 비해 훨씬 많은 문자를 포함하고 있기 때문에 한글 폰트 인식은 영어권 폰트 인식보다 어렵다. 본 연구에서는 최근 다양한 영상 인식 분야에서 좋은 성능을 보이고 있는 CNN을 이용해 한글 폰트 인식을 수행하였다. 과거에 이루어진 대부분의 폰트 인식 연구에서는 불과 수 십 종의 폰트 만을 대상으로 하였다. 최근에 이르러서야 2000종 이상의 대용량 폰트 인식에 대한 연구결과가 발표되었으나, 이들은 주로 문자의 수가 적은 영어권 문자들을 대상으로 하고 있다. 본 연구에서는 CNN을 이용해 3300종에 이르는 다양한 한글 폰트를 인식하였다. 많은 수의 폰트를 인식하기 위해 두 가지 구조의 CNN을 이용해 폰트인식기를 구성하고, 실험을 통해 이들을 비교 평가하였다. 특히, 본 연구에서는 3300종의 한글 폰트를 효과적으로 인식하면서도 학습 시간과 파라미터의 수를 줄이고 구조를 단순화하는 방향으로 모델을 개선하였다. 제안하는 모델은 3300종의 한글 폰트에 대하여 상위 1위 인식률 94.55%, 상위 5위 인식률 99.91%의 성능을 보였다.

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Discrepancies Between Public Perceptions and Epidemiological Facts Regarding Cancer Survival Rate in Korea : An Online Survey (암 생존율에 대한 한국 대중의 인식과 역학적 사실 사이에서 발생하는 불일치 : 온라인 설문을 중심으로)

  • Kim, Jae-Woo;Kang, Jung-Kyu;Kim, Sung-Ho
    • The Journal of the Korea Contents Association
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    • v.17 no.1
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    • pp.113-119
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    • 2017
  • This study aims at investigating which factors affect the public perceptions of the survival rate of cancer. To this end, this study compares the public perception for 5-year survival rates of five major cancer(stomach, colorectal, liver, breast, uterine cervix) and actual epidemiological fact thereof. Data was collected from 19th to 24th April 2016 through online cross-sectional survey on 354 people. Frequency analysis was conducted to understand the characteristics of the subjects, histograms were presented for the comparison with the epidemiological fact, and multiple regression analysis was conducted. The subjects tended to aware the survival rates of stomach cancer, colorectal cancer, breast cancer, and uterine cervix cancer as lower than they epidemiologically represented. Finally, the factors that substantially affect the perception of 5-year survival rates were revealed as the experience of diagnosed as cancer, the age, and whether the subject regularly involved in a workout.

Research on Robust Face Recognition against Lighting Variation using CNN (CNN을 적용한 조명변화에 강인한 얼굴인식 연구)

  • Kim, Yeon-Ho;Park, Sung-Wook;Kim, Do-Yeon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.2
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    • pp.325-330
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    • 2017
  • Face recognition technology has been studied for decades and is being used in various areas such as security, entertainment, and mobile services. The main problem with face recognition technology is that the recognition rate is significantly reduced depending on the environmental factors such as brightness, illumination angle, and image rotation. Therefore, in this paper, we propose a robust face recognition against lighting variation using CNN which has been recently re-evaluated with the development of computer hardware and algorithms capable of processing a large amount of computation. For performance verification, PCA, LBP, and DCT algorithms were compared with the conventional face recognition algorithms. The recognition was improved by 9.82%, 11.6%, and 4.54%, respectively. Also, the recognition improvement of 5.24% was recorded in the comparison of the face recognition research result using the existing neural network, and the final recognition rate was 99.25%.

A Study on the Hangul Recognition Using Hough Transform and Subgraph Pattern (Hough Transform과 부분 그래프 패턴을 이용한 한글 인식에 관한 연구)

  • 구하성;박길철
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.3 no.1
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    • pp.185-196
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    • 1999
  • In this dissertation, a new off-line recognition system is proposed using a subgraph pattern, neural network. After thinning is applied to input characters, balance having a noise elimination function on location is performed. Then as the first step for recognition procedure, circular elements are extracted and recognized. From the subblock HT, space feature points such as endpoint, flex point, bridge point are extracted and a subgraph pattern is formed observing the relations among them. A region where vowel can exist is allocated and a candidate point of the vowel is extracted. Then, using the subgraph pattern dictionary, a vowel is recognized. A same method is applied to extract horizontal vowels and the vowel is recognized through a simple structural analysis. For verification of recognition subgraph in this paper, experiments are done with the most frequently used Myngjo font, Gothic font for printed characters and handwritten characters. In case of Gothic font, character recognition rate was 98.9%. For Myngjo font characters, the recognition rate was 98.2%. For handwritten characters, the recognition rate was 92.5%. The total recognition rate was 94.8% with mixed handwriting and printing characters for multi-font recognition.

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