• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.3
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• pp.68-83
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• 2019

The number of pedestrian traffic accident fatalities is three times the number of car accidents in South Korea. Serious accidents are caused especially at intersections when the vehicle turns to their right. Various pedestrian collision warning services have been developed, but they are insufficient to prevent dangerous pedestrians. In this study, P2CWS is developed to warn approaching vehicles based on the pedestrians' characteristics. In order to evaluate the performance of the service, actual pedestrian data were collected at the intersection of Daejeon, and comparative analysis was carried out according to pedestrian characteristics. As a result, the performance analysis showed a higher accordance when the characteristics of the pedestrian is considered. Accordingly, we can conclude that identifying pedestrian characteristics in predicting the pedestrian crossing is important.

• Journal of Information Management
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• v.41 no.2
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• pp.95-110
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• 2010

We studied the methods for boosting a user participating service using KOSEN(The Global Network or Korean Scientists and Engineers) OpenLab service. OpenLab is a laboratory database of all the fields of science and technology, and it is different from other services in that basically it makes users register their information volunteerly. User participation service is not easy, so we made several strategies like promotion, event, and connection to other services. In result, we could collect about 4,300 laboratory database. Because user participation is a key concept for the Web 2.0, this study would contribute to the operation of the related services, especially to the services for scientists and engineers.

• Journal of the Korean earth science society
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• v.43 no.5
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• pp.579-590
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• 2022

In this study, we aimed to develop a Python-based outer-ring galaxy analysis algorithm according to the data science process. We assumed that the potential users are citizen scientists, including students and teachers. In the actual classification studies using real data of galaxies, a specialized software called IRAF is used, thereby limiting the general public's access to the software. Therefore, an image analysis algorithm was developed for the outer-ring galaxies as targets, which were compared with those of the previous research. The results of this study were compared with those of studies conducted using IRAF to verify the performance of the newly developed image analysis algorithm. Among the 69 outer-ring galaxies in the first test, 50 cases (72.5%) showed high agreement with the previous research. The remaining 19 cases (27.5%) showed differences that were caused by the presence of bright stars overlapped in the line of sight or weak brightness in the inner galaxy. To increase the usability of the finished product that has undergone a supplementary process, all used data, algorithms, Python code files, and user manuals were loaded in GitHub and made available as shared educational materials.

• Journal of Scientific & Technological Knowledge Infrastructure
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• s.8
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• pp.36-44
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• 2002

Grid 컴퓨팅에서 실제적이고 특정한 문제들은 자원공유, 동적인 문제 해결, VO등과 같은 것들로서, 이는 단순 파일 공유 뿐만 아니라 컴퓨터, 데이터, 소프트웨어 그리고 다른 자원들에 직접적으로 접속하는 것이다. 이러한 공유는 고도의 제어가 요구되는데, 자원 공급자와 사용자들은 공유할 자원이 어느 것이고, 공유는 누구에게 허용할 것인지 그리고 공유가 일어나는 상황에서 조건은 어떠한 유형인지 명확하게 규정하여야 한다.

• Journal of The Korean Association For Science Education
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• v.42 no.2
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• pp.239-252
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• 2022

This study aims to develop performance criteria based on characteristics observed in science inquiry tasks for elementary school students. First, the performance characteristics by observing 70 fifth-grade elementary school students' science inquiry activity report are listed. Second, the checklist-type scoring criteria in connection with the theoretical framework of scientific inquiry process and relevant competencies are developed. Third, with the developed scoring criteria, 11 raters participate in scoring 350 students' reports. The main findings are as follow: first, the scoring data are well-fitted for the many-faceted Rasch model, and 22 scoring criteria are reasonably-well differentiated for various levels of proficiency. Second, at low performance level, observable characteristics are to answer questions explicitly required by the task or to observe objects or phenomena using pre-learned scientific concepts, while at high performance level, to explore additional data other than given data or to reflect on one's experimental process. Based on the results, the usefulness of analyzing students' performance characteristics for developing the scoring criteria, and further research directions are discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.711-713
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• 2013

Various human resource information of the world can be found according to spread of social network such as facebook and twitter. There are an amounts of researcher information on the science and technology area but it is difficult to find a suitable researcher for research or business such as research partner, because researcher information is not systematically arranged. To solver this problem, we are constructing authority data system for science and technology based on authority information of overseas academic papers. In this paper, in order to construct the authority data, we extracts author identification elements from millions of overseas academic papers, which are published from 1994 to 2012. There are more than 50 author identification elements such as author name, affiliation, paper title, publisher, year, keywords, co-author, co-author's affiliation in Korean, English, Chinese, and Japanese. We construct the element database by extracting and storing an author identification information based on the elements from overseas academic papers. Future works includes that the authority database for overseas academic papers is constructed by storing an academic activities of researchers after author clustering with these extracted elements. The authority data is used to improve the researcher information utilization and activate community to find a suitable research partner or a business examiner.

• Journal of KIISE
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• v.44 no.2
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• pp.195-207
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• 2017

In recent years, data are actively exploited in various fields. Hence, there is a strong demand for sharing and publishing data. However, sensitive information regarding people can breach the privacy of an individual. To publish data while protecting an individual's privacy with minimal information distortion, the privacy- preserving data publishing(PPDP) has been explored. PPDP assumes various attacker models and has been developed according to privacy models which are principles to protect against privacy breaching attacks. In this paper, we first present the concept of privacy breaching attacks. Subsequently, we classify the privacy models according to the privacy breaching attacks. We further clarify the differences and requirements of each privacy model.

• Journal of the Korean Society for information Management
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• v.36 no.1
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• pp.117-135
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• 2019

Data journals and data papers have grown and considered an important scholarly practice in the paradigm of open science in the context of data sharing and data reuse. This study investigates a total of 713 data papers published in Scientific Data in terms of author, citation, and subject areas. The findings of the study show that the subject areas of core authors are found as the areas of Biotechnology and Physics. An average number of co-authors is 12 and the patterns of co-authorship are recognized as several closed sub-networks. In terms of citation status, the subject areas of cited publications are highly similar to the areas of data paper authors. However, the citation analysis indicates that there are considerable citations on the journals specialized on methodology. The network with authors' keywords identifies more detailed areas such as marine ecology, cancer, genome, database, and temperature. This result indicates that biology oriented-subjects are primary areas in the journal although Scientific Data is categorized in multidisciplinary science in Web of Science database.

• Journal of KIISE
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• v.41 no.12
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• pp.1152-1159
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• 2014

In this paper, we presents a system to ensure the safety of residents through appropriate action or alarm in case the residents occurs an emergency situation and abnormal activity. We collect and analysis real-time data of living environment of the residents using video and sensor. The existing system have been determined by using only the sensor data it have several problems. Our system attach camera to solve the existing system problem. We use weighted difference image and motion vector. The existing system, it takes about 48 hours to determine that an abnormal activity occurs. However, our system takes less than 1 hour.

• Smart Media Journal
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• v.11 no.8
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• pp.21-28
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• 2022

Currently, as we enter the 21st century, the level and interest of society, culture, economy, and science are rapidly developing, but science education is still struggling. In order to increase the efficiency of science education, it is most important to focus on elementary education based on basic science. Therefore, this study aims to analyze the main causes of Korea's science museum's regression as a museum focusing on experience, interest, and fun such as simple science experience centers and science theme parks. To this end, the influencing factors were identified by applying the algorithm of the actor-based model based on the data on the exhibition space and the exhibition movement of the science museum completed and operated in Korea over the past 5 years, and the problem of the visitor movement in the exhibition space was analyzed through the space system. In this study, it was confirmed that the exhibition environment was the best when the linear plot movement system and the picalesque plot were applied simultaneously in the museum's exhibition narrative theory, and the arrangement of major exhibition spaces, width of exhibition spaces, and separation of spaces for exhibition purposes were derived.