• International Journal of Knowledge Content Development & Technology
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• v.2 no.2
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• pp.47-56
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• 2012

This study analyzes gender bias in children's informational books about science and science careers to determine how these early resources are affecting the disparity between males and females in science and engineering fields. The study focused on the number of male and female scientists both in pictures and text, and how much space was devoted to discussion of scientists of each gender. Overall, the findings of the study show that only 18% of the pictured scientists were female as well as only 16% of the scientists discussed in the text. These numbers are below current industry data that puts the number of females working in science and engineering fields at 26%.

• Journal of The Korean Association For Science Education
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• v.27 no.8
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• pp.724-742
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• 2007

The purpose of this study was to develop a scientific inquiry model that makes scientific inquiry accessible to science teachers as well as students. To develop a scientific inquiry model, we investigated the research process demonstrated by ten scientists who were working at academic research institutions or industrial research institutions. We collected data through scientists' journal articles, lab meetings and seminars, and observation of their inquiry process. After we analyzed the scientists' inquiry strategies and processes of inquiry, we finally developed the Scientist's Methodology of Investigation Process model named SMIP. The SMIP model consists of four domains, 15 stages, and link questions, such as "if, why", and "how". The SMIP model stressed that inquiry process is a selective process rather than a linear or a circular process. Overall, these findings can have implication science educators in their attempt to design instruction to improve the scientific inquiry process.

• Journal of Korean Elementary Science Education
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• v.33 no.4
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• pp.655-673
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• 2014

We investigated perceptions and image analysis on scientists studying small organisms reflected in elementary student's drawing using a modified version of the Drawing-A-Scientist-Test. The participants were 530 of fifth and sixth graders consisted of 449 ordinary students and 81 science gifted students. The data were collected from associated words, images and explanatory notes depicted by students engaged in questionnaires. The results indicated that a larger number of students reminded small sized animals and/or plants as words associated with small organisms. In addition, some students depicted anthropomorphic or abstract microorganisms. In this study, more stereotypes of scientists' appearance were exhibited at sixth graders and city region group. Most of the students depicted indicators such as lab coat, glasses, scientific instruments for observing, indoor, male and young, whereas only a few students depicted collaborative work. There was statistically significant difference between girls and boys, because boys perceived male scientists only, while half of girls depicted female. More frequent research instruments and scientific captions were used when science gifted students depicted scientists studying small organisms. These results could be contributed to education on microorganisms in elementary science.

• Journal of The Korean Association For Science Education
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• v.34 no.5
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• pp.469-478
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• 2014

To provide students an alternative image of science and scientist, we developed five lesson plans that include scientists' joy, anger, sorrow, and pleasure in their life. Through the 10 hour lessons with the five topics, we investigated the effect of our program on students' image change toward scientists, their science learning, and their career development in science field. Twenty high school students participated in our program and five of them were analyzed. The qualitative data included opinionnaire survey before and after the program, field note, video recording, students' worksheets, and interview. The science episode lessons that reflect the human side of scientists were designed in five steps. The first step is the one about imaging of scientists, the second step is the one about reading scientists' episode in their life, the third step is the one about investigating human side of scientists, the fourth step is the one about feeling sympathy in scientists' context, and the last step is the one about judging human side of scientists. Students participated in this program got to feel familiarity in scientists as well as confidence in science. By obtaining the alternative image of scientists after the class, it is expected that students will play roles of well-prepared supporters with scientific literacy.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04d
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• pp.25-58
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• 2000

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.1-20
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• 2022

As the global business environment is rapidly changing due to the 4th industrial revolution, new jobs that did not exist before are emerging. Among them, the job that companies are most interested in is 'Data Scientist'. As information and communication technologies take up most of our lives, data on not only online activities but also offline activities are stored in computers every hour to generate big data. Companies put a lot of effort into discovering new opportunities from such big data. The new job that emerged along with the efforts of these companies is data scientist. The demand for data scientist, a promising job that leads the big data era, is constantly increasing, but its supply is not still enough. Although data analysis technologies and tools that anyone can easily use are introduced, companies still have great difficulty in finding proper experts. One of the main reasons that makes the data scientist's shortage problem serious is the lack of understanding of the data scientist's job. Therefore, in this study, we explore the job competencies of a data scientist by qualitatively analyzing the actual job posting information of the company. This study finds that data scientists need not only the technical and system skills required of software engineers and system analysts in the past, but also business-related and interpersonal skills required of business consultants and project managers. The results of this study are expected to provide basic guidelines to people who are interested in the data scientist profession and to companies that want to hire data scientists.

• Genomics & Informatics
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• v.15 no.4
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• pp.178-182
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• 2017

Next-generation sequencing (NGS) technology has become a trend in the genomics research area. There are many software programs and automated pipelines to analyze NGS data, which can ease the pain for traditional scientists who are not familiar with computer programming. However, downstream analyses, such as finding differentially expressed genes or visualizing linkage disequilibrium maps and genome-wide association study (GWAS) data, still remain a challenge. Here, we introduce a dockerized web application written in R using the Shiny platform to visualize pre-analyzed RNA sequencing and GWAS data. In addition, we have integrated a genome browser based on the JBrowse platform and an automated intermediate parsing process required for custom track construction, so that users can easily build and navigate their personal genome tracks with in-house datasets. This application will help scientists perform series of downstream analyses and obtain a more integrative understanding about various types of genomic data by interactively visualizing them with customizable options.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.34 no.3
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• pp.31-34
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• 2016

This article reviews Apache SINGA, a general distributed deep learning (DL) platform. The system components and its architecture are presented, as well as how to configure and run SINGA for different types of distributed training using model/data partitioning. Besides, several features and performance are compared with other popular DL tools.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.5 no.2
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• pp.90-93
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• 1987

Relatively few papers are known to study the clustering the same kind of data records in a cylinder. In this article, I reviewed the clustering algorithms especially for the cellular list file which have been studied.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.272-274
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• 2000

XML data를 VRML을 사용하여 시각적으로 나타내는 방법을 연구하였다. 현재 Web 환경은 동적으로 문서를 생성하고 사용자가 보기 쉽게 그래픽으로 표현하는 방향으로 발전하고 있다. 이러한 환경에서 XML은 실시간으로 data를 생성하기 쉬워 많이 사용되고 있으나 text 기반이기 때문에 data를 가시화하여 사용자한테 보여주기 힘들다는 단점이 있다. 이에 VRML을 XML과 결합하여 실시간으로 변화는 data를 VRML과 같은 시각화 도구를 사용하여 표현하는 방법에 대해 연구를 하였다. 본 논문에서는 Java Servlet을 사용하여 XML 문서에서 data를 추출하여 VRML 코드를 만들고, 그 코드를 사용자측에 전달하여 시각적으로 data를 볼 수 있도록 하였다.