• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.321-341
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• 2007

It will be possible to prevent the infringement of the trademarks and the insueing disputes regarding the originality of the trademarks by using an efficient content-based trademark image retrieval system. In this paper, we describe a content-based image retrieval system using the Self Organizing Map(SOM) algorithm. The SOM algorithm utilizes the visual features, which were derived from the gray histogram representation of the images. In addition, we made the objective effectiveness evaluation possible by coming up with a quantitative measure to gauge the effectiveness of the content-based image retrieval system.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1539-1545
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• 2017

In this paper, we analyze and discuss the trend of the probability and statistics problems that have been made in the public secondary school teacher employment exam for mathematics teachers. In order to properly teach the national mathematics curriculum in 2015 in terms of content and function, we investigate the probability and statistics contents that a mathematics teachers should know. We also analyze the contents and trends of the items that have been submitted for 15 years in public secondary school teacher employment exam, and discuss the contents, scope, level and direction of the future contents. In conclusion, considering the significance of the Big Data in the 4th industrial revolution, the problems of statistical thinking of data and probability, exploratory data analysis, sample survey, and statistical inference are needed more.

• Korean Security Journal
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• no.13
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• pp.529-550
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• 2007

In proportion to the increase of public security demand, the private companies advanced continuously every year. However the size of the industry expanded in its quantity, the quality remains the same as before. So it's important to training of the security officers. This study suggest the improvements of training system through the analysis and the review of problems of training and education security officers. To develop our private security industry, we suggest as follows. First, In spite of the training is important, the recognition against security officers training is low, so the improvement is demanded. Second, When selecting the educational institution, it does not reflect the demand and situation of education enough. So there is necessary that selecting the educational institution again, after finishing a demonstration duration. Third, The education contents is general, so there is a necessity of the education which is professionalized. Fourth, In order to improve the ability of the lecturer, we must strengthen the qualification of the lecturer. Fifth, For the development of securities industry, we must found the professional training institution.

• Journal of Intelligence and Information Systems
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• v.15 no.2
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• pp.49-59
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• 2009

Contents-based image retrieval methods are in general more objective and effective than text-based image retrieval algorithms since they use color and texture in search and avoid annotating all images for search. SIM(Self-organizing Image browsing Map) is one of contents-based image retrieval algorithms that uses only browsable mapping results obtained by SOM(Self Organizing Map). However, SOM may have an error in selecting the right BMU in learning phase if there are similar nodes with distorted color information due to the intensity of light or objects' movements in the image. Such images may be mapped into other grouping nodes thus the search rate could be decreased by this effect. In this paper, we propose an improved SIM that uses HSV color model in extracting image features with color quantization. In order to avoid unexpected learning error mentioned above, our SOM consists of two layers. In learning phase, SOM layer 1 has the color feature vectors as input. After learning SOM Layer 1, the connection weights of this layer become the input of SOM Layer 2 and re-learning occurs. With this multi-layered SOM learning, we can avoid mapping errors among similar nodes of different color information. In search, we put the query image vector into SOM layer 2 and select nodes of SOM layer 1 that connects with chosen BMU of SOM layer 2. In experiment, we verified that the proposed SIM was better than the original SIM and avoid mapping error effectively.

• Journal of The Korean Association For Science Education
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• v.28 no.4
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• pp.269-281
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• 2008

In Korea, the criteria for the requirements of a secondary school science teacher's certificate are based entirely on the subjects and/or areas as prescribed in laws for the teacher's licensure examination. However, the criteria do not account for the specific competencies or qualities that a good science teacher should possess. The objective of the research was to explore and suggest the three lists of the image of an ideal science teacher, science teacher's role and science teacher's competency that might be used to establish the criteria for science teachers' certificate and the curricular content for science teacher education in Korea. In order to achieve this objective, the study used such research methods as literature analysis, status survey in combination with on-line workshop, in-depth interview, and professional consultation. The participants in the research comprised of a group of 258 students (186 middle school students and 72 high school students) and 13 in-service science teachers (8 middle school science teachers, 5 high school science teachers) for questionnaire survey and on-line workshop, and 4 science teachers for in-depth interview. The list of the image of ideal science teacher, science teacher's role, science teacher's competency contains 44, 32, and 75 statements, respectively. Based on the results of the research, this paper suggested that the criteria for the Korean secondary school science teacher's certificate requirements be selected and organized in consideration of the teachers' competencies rather than the courses and/or subject areas. It is also implied in the paper that further research over a period of time is necessary for using the competencies for curricular contents and/or science teacher's certificate standards.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.163-176
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• 2014

Social media is becoming the platform for users to communicate their activities, status, emotions, and experiences to other people. In recent years, microblogs, such as Twitter, have gained in popularity because of its ease of use, speed, and reach. Compared to a conventional web blog, a microblog lowers users' efforts and investment for content generation by recommending shorter posts. There has been a lot research into capturing the social phenomena and analyzing the chatter of microblogs. However, measuring television ratings has been given little attention so far. Currently, the most common method to measure TV ratings uses an electronic metering device installed in a small number of sampled households. Microblogs allow users to post short messages, share daily updates, and conveniently keep in touch. In a similar way, microblog users are interacting with each other while watching television or movies, or visiting a new place. In order to measure TV ratings, some features are significant during certain hours of the day, or days of the week, whereas these same features are meaningless during other time periods. Thus, the importance of features can change during the day, and a model capturing the time sensitive relevance is required to estimate TV ratings. Therefore, modeling time-related characteristics of features should be a key when measuring the TV ratings through microblogs. We show that capturing time-dependency of features in measuring TV ratings is vitally necessary for improving their accuracy. To explore the relationship between the content of microblogs and TV ratings, we collected Twitter data using the Get Search component of the Twitter REST API from January 2013 to October 2013. There are about 300 thousand posts in our data set for the experiment. After excluding data such as adverting or promoted tweets, we selected 149 thousand tweets for analysis. The number of tweets reaches its maximum level on the broadcasting day and increases rapidly around the broadcasting time. This result is stems from the characteristics of the public channel, which broadcasts the program at the predetermined time. From our analysis, we find that count-based features such as the number of tweets or retweets have a low correlation with TV ratings. This result implies that a simple tweet rate does not reflect the satisfaction or response to the TV programs. Content-based features extracted from the content of tweets have a relatively high correlation with TV ratings. Further, some emoticons or newly coined words that are not tagged in the morpheme extraction process have a strong relationship with TV ratings. We find that there is a time-dependency in the correlation of features between the before and after broadcasting time. Since the TV program is broadcast at the predetermined time regularly, users post tweets expressing their expectation for the program or disappointment over not being able to watch the program. The highly correlated features before the broadcast are different from the features after broadcasting. This result explains that the relevance of words with TV programs can change according to the time of the tweets. Among the 336 words that fulfill the minimum requirements for candidate features, 145 words have the highest correlation before the broadcasting time, whereas 68 words reach the highest correlation after broadcasting. Interestingly, some words that express the impossibility of watching the program show a high relevance, despite containing a negative meaning. Understanding the time-dependency of features can be helpful in improving the accuracy of TV ratings measurement. This research contributes a basis to estimate the response to or satisfaction with the broadcasted programs using the time dependency of words in Twitter chatter. More research is needed to refine the methodology for predicting or measuring TV ratings.

• Journal of The Korean Association For Science Education
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• v.32 no.1
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• pp.182-200
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• 2012

There is growing recognition that secondary students must be given the opportunity to write in their science classrooms as well as in scientific inquiry based learning situations, yet the development of writing education standards for secondary school science teachers still needs to be addressed. The primary objective of this research was to explore the writing education standard for secondary school science teachers. The research objective was attained through the use of literature analyses. Drawing upon those results of the related literature analyses, this study suggests a list of writing education standards for secondary school science teachers. The list consists of 17 education standards and includes 42 sub-standards in total across four education areas.

• Journal of the Korean Society for Library and Information Science
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• v.34 no.4
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• pp.5-26
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• 2000

The purpose of this study was to measure performance of university libraries, especially investigating the components of service quality and their relationship to the customer satisfaction. The result of the study was summarized as follows: First, the factors on satisfaction of library service revealed 12 factors such as access of information, quality of employees, suitable collections, issues related to civil petitions, equipments and facilities, timeliness, operating hours, use of information technology, library user education, reference service, public relation and individual service. Second, the factors of library service on customer satisfaction showed the following primary factors: suitable collections, issues related to civil petitions, access of information, equipments and facilities, timeliness, public relation, reference service, operating hours, and individual service. Third, the components of library service on customwe satisfaction showed the following primary components: availability, the number of books and journals, facilities of air conditioning, public relation, usefulness of retrieval system, waiting time for Internet use, operating hour, speed of repairs, receipt of civil petitions, use of non-book materials.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.403-411
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• 2020

The purpose of this study is to explore the construct system and revision emphasis of curriculum for early childhood education and care in japan revised in 2017. First, the construct system of the revised early childcare curriculum and kindergarten curriculum of the three institutions in 2017 is different. However, it is more specific according to its characteristics, and the revision focus is given in the same direction. Second, The revised emphasis of the curriculum establish itself with three qualities and abilities that must be nurtured through infancy and clarifies ten childhood images. Also, Emphasis is placed on the establishment of curriculum and management to implement these. Expert review is needed to ensure that the content presented in childhood images is appropriate and does not emphasize the establishment of curriculum and management without ensuring teacher autonomy.

• Proceedings of the KSPS conference
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• 1996.02a
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• pp.63-73
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• 1996

이 연구의 목적은 초등학교 어린이들을 대상으로 의사소통 능력 중심의 영어교육을 하기 위하여 그 기초가 되는 영어발음지도와 관련된 문제점들을 살펴보고 아울러 그 해결방안을 모색하는 것이라. 먼저 초등학교 어린이를 위한 영어교육의 특성과 제문제를 살펴보고, 보라 효과적인 발음지도를 위해 구체적인 발음지도 목표와 그 목표에 맞는 발음지도 법을 알아보았다. 발음지도 목표로는 우선, 영어를 모국어로 하는 사람들이 알아듣고 이해할 수 있는 정도의 발음을 갖추도록 하며, 이를 위해 (1)영어자, 모음 식별 청취 및 발음, (2)올바른 강세와 억양 식별 및 구사, (3)연음 및 기타 주요 발음 현상 식별 및 구사 등을 지도하되, (1)보다 (2)와 (3)을 보다 집중적으로 지도할 것을 제시하였다. 아울러 이들 각각의 내용을 보다 효과적으로 지도하기 위하여 의사소통 능력을 중심으로 한 여러 가지 지도 법 및 어린이들을 위한 학습활동들을 소개하였다. 끝으로 자질을 고루 갖춘 초등학교 영어교사 양성이야말로 성공적인 영어교육의 제일조건임을 강조하고 보다 실제적인 교사교육 프로그램에 포함되어야 할 사항을 제시하였다.