• Journal of The Korean Association For Science Education
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• v.7 no.2
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• pp.37-43
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• 1987

Computer in one of the most tremendous achievements of the modern scientific technique. Not only in government, business, research and education but in our daily life. computers are widely utilized to assist in solving various problems. With increasing frequency, it is recognized that a right understanding of the computer is necessary: naturally, this recognition places a great emphasis on the computer education. In Korea computer is chosen either as an optional subject or as a kind of group activity in many schools. It is the purpose of this study to compare and analyze the internal sorting algorithms which are used frequently in data processing. and to present the results of program analysis. which will make it possible to choose the appropriate sorting algorithm for each data processing. Generally the algorithms are coded in a language appropriate for structured programming. like PASCAL: however, here the algorithms are expressed in BASIC which is widely used with the personal computers so that the students and the teachers may understand them easily.

• Journal of Korea Technology Innovation Society
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• v.15 no.1
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• pp.47-75
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• 2012

Basic research have contributed to technological growth or economic growth in U.S. Specially recent studies say that universities also contribute to economic development through scientific activities like science research, education, technology transfers. But we can not assure whether scientific knowledge was connected to real technology or economic performance, and it is difficult to figure out the effect of scientific output. "What is the exact performance of scientific knowledge?" It is still obscure. In this context, this paper analyzes characteristics of the linkage of science and technology. Data are U.S. R&D expenditure, scientific articles, citation of articles in U.S. patents by fields and sectors. As a result, university sector has the most weight of the linkage of science and technology. But, in relative connection rate analysis, industrial sector's is stronger than any other sectors. In the field analysis, linkage of science and technology is very strong in Chemistry, Physics, Biological sciences fields. And recently the linkage was increased in the fields of Computer science, Agricultural science, Engineering. Finally, this paper supports funding policy or estimation policy of government to product of scientific knowledge. University sector is still important because it has the most weight of the linkage. Scientific knowledge of industrial sector is also important. The connection rate of industrial science is the strongest in all sectors. And this research classify the R&D type by science fields. Considering the differences of science fields is needed to product science knowledge effectively.

• Asian Journal of Innovation and Policy
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• v.10 no.3
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• pp.355-379
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• 2021

This study examined the evolution of S&T Basic Acts in Korea from the Science and Technology Promotion Act (1967) through the Special Act on STI (1997) to the Framework Act on Science and Technology (2001) in the following aspects: 1) comprehensive plans, 2) coordination mechanisms for S&T policies, 3) enforcement of R&D programs and performance diffusion, 4) promotion of human resources, 5) and S&T investment and budgeting. Before the Framework Act on S&T was enacted in 2001, critical issues were found in establishing S&T master plans, promotion of R&D programs, comprehensive coordination mechanisms, and R&D budgeting. The three Basic Acts have expanded the scope of regulation over time to cover the entire cycle of the S&T process. They concern a wide range of issues, including creating a basis for scientific and technological development, S&T promotion, disseminating and commercializing research outcomes, and preventing adverse effects from science and technology. The content of the Basic Acts has evolved in response to changes in the political, economic, and social environment of Korean industry during the past five decades.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.131-134
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• 2008

Increasing the need of national safety management system in order to an epoch-making improvement to scientific disaster management which appears new types of disasters through the exchange of traditional disaster environment and responds actively to the rapid exchange of social environment based on u-IT. Requiring the development of systematical information sharing networking system and sharing realtime data amongst government, local authorities and related organisations under both safety management in normal times and circumstance management in disaster times, and need for the establishment of national safety strategy, which has been strengthened function such as prevention and preparation. This research provides a basic scheme and strategic tasks in order to constitute preventing scientific national disaster prevention structure at anytime and anywhere from disaster which is based on ubiquitous technology and realise the intelligent national disaster prevention system of u-safe Korea.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.301-305
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• 2021

Scientific space, one can observe the differentiation of the definition of the terms "value", "value orientations" because it does not yet have a clear standard definition. Many researchers have dealt with this topic, researched, analyzed, observed, and made conclusions. However, there is still a rich scope for research of such phenomena of personal structure as value orientations. Psychologists-researchers who, in their scientific, practical, and theoretical works, dealt with the topic of values and value orientations and came to the general conclusion that values are a structural component of a personality, with the help of which a person achieves a goal, sets this goal, and characterizes position in life. Saw the relationship between values and the basic structures of the personality, including value orientations-considered in values a system of orientation and personality attitudes.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.39 no.5
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• pp.203-206
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• 2013

Statistics is the science of data. As the foundation of scientific knowledge, data refers to evidentiary facts from the nature of reality by human action, observation, or experiment. Clinicians should be aware of the conditions of good data to support the validity of clinical modalities in reading scientific articles, one of the resources to revise or update their clinical knowledge and skills. The cause-effect link between clinical modality and outcome is ascertained as pattern statistic. The uniformity of nature guarantees the recurrence of data as the basic scientific evidence. Variation statistics are examined for patterns of recurrence. This provides information on the probability of recurrence of the cause-effect phenomenon. Multiple causal factors of natural phenomenon need a counterproof of absence in terms of the control group. A pattern of relation between a causal factor and an effect becomes recognizable, and thus, should be estimated as relation statistic. The type and meaning of each relation statistic should be well-understood. A study regarding a sample from the population of wide variations require clinicians to be aware of error statistics due to random chance. Incomplete human sense, coarse measurement instrument, and preconceived idea as a hypothesis that tends to bias the research, which gives rise to the necessity of keen critical independent mind with regard to the reported data.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.90.2-90.2
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• 2011

At Kyoto University, a continuous solar full-disk observation in CaII K line had been done during 44 years of 1926 - 1969. The observation was done with a Askania spectroheliograph on daily base. The images were taken on photographic plates. We started a project to archive these image data into a digital database which will be open to the public for scientific researches. One of the scientific usage of the database is to study the long term variation of the solar chromospheres. Since the area of CaII K plage area is a measure of solar chromospheric heating, we can do comparative study of the sunspot cycle and the chromospheric heating cycle of the sun. Another interesting field of scientific utilization of the database is the long term variation of the heating of terrestrial upper atmosphere. As was shown by Yokoyama, Masuda and Sato (2005), the area of the CaII K plage is a good proxy measure of solar EUV irradiation onto the upper atmosphere of the earth. Thus the completion of our database will serve to supply a basic and long-span data for upper atmospheric heating issues by the cooperative study with the Inter-university Upper atmosphere Global Observation NETwork (IUGONET) developed in Japan.

• Journal of Information Science Theory and Practice
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• v.2 no.1
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• pp.48-61
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• 2014

Using statistic and bibliometric methods to characterize scientific cooperation between China (excluding Hong Kong, Macao, and Taiwan) and South Korea through their bilateral co-authored papers covered by the Science Citation Index CD-ROM, 1991-2010, in our paper we exploit the feature of their cooperation in four levels: time sequence, academic community, key fields, and institution distribution. From the time sequence we know that collaboration between China and Korea starts in 1991, reaching the first peak during 2004-2007. As for the academic community, the number of Chinese corresponding authors (2414) is slightly lower than that of Korea (2700). Regarding the 27 high yield authors, there are only 4 coming from China. Korea has a higher active level than Chinese authors. China and Korea tend to cooperate with each other on strong disciplines such as physics, chemistry, material science, engineering, mathematics, pharmaceutical, computer science and biology. Furthermore, they also attach great importance to basic research and high-tech cooperation. Besides, Chinese Academy of Sciences ranks at the top 1 among the distribution of institutions. As a majority of the collaborative institutions are universities, the participation of non-university institutions is relatively low. There are 7 Korean universities among the top ten institutions, while Yanbian University and Tsinghua University in China rank respectively as third and fourth. Seoul National University, accompanied by Korea University and Yonsei University as the three top Korean universities, is also among the top among the cooperating institutions.

• Journal of The Korean Association For Science Education
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• v.24 no.5
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• pp.833-842
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• 2004

The purpose of this study was to explore kindergarten students' attitude toward science by their gender and teachers' background. 90 kindergarten teachers and 180 5-year-old students were intentionally sampled in a suburban area. The research instruments used in this study were the interview questions of student attitude to science and the teacher's background questionnaire. The interview questions constructed by two researchers, based on "The Students' Attitude to Science Scale"(Pell & Farvis, 2001). It was composed of 13 questions; 7 questions on preference for science and 6 on perception to science. The teacher's background questionnaire was consisted of I question on educational background, I on career, and 51 on scientific literacy("Test of Basic Scientific Literacy")(Laugksch & Spargo, 1996). The results revealed that the students' attitude to science was positive and was different by their teachers' educational background, not by their gender and their teacher's career and scientific literacy. However, the students showed different preference for science by their teachers' scientific literacy. These results imply that early childhood teachers should have enough chances to be more educated and to improve their scientific literacy.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.94.5-94
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• 2002

The current study of complex dynamical networks is pervading all kinds of sciences today, ranging from physical to biological, even to social sciences. its impact on modern engineering and technology is prominent and will be far-reaching. Typical complex dynamical networks include the World Wide Web, the Internet, various wireless communication networks, meta-bolic networks, biological neural networks, social connection networks, scientific cooperation and citation networks, and so on. Research on fundamental properties and dynamical features of such complex networks have become overwhelm ing. This talk will provide a brief overview of some basic concepts about com plex dynamical netwo...