• Korean Journal of Remote Sensing
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• v.15 no.4
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• pp.357-365
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• 1999

The optical sensors of Electro-Optical Camera (EOC) and Ocean Scanning Multi-spectral Imager (OSMI) aboard the KOrea Multi-Purpose SATellite (KOMPSAT) will be placed in a sun synchronous orbit in late 1999. The EOC and OSMI sensors are expected to produce the land mapping imagery of Korean territory and the ocean color imagery of world oceans, respectively. Utilization of the EOC and OSMI data would encompass the various fields of science and technology such as land mapping, land use and development, flood monitoring, biological oceanography, fishery, and environmental monitoring. Readiness of data support for user community is thus essential to the success of the KOMPSAT program. As a part of testing such readiness prior to the KOMPSAT launch, we have performed the preliminary acceptance test for the KOMPSAT data processing system using the simulated EOC and OSMI data sets. The purpose of this paper is to demonstrate the readiness of the KOMPSAT data processing system, and to help data users understand how the KOMPSAT EOC and OSMI data are processed, archived, and provided. Test results demonstrate that all requirements described in the data processing specification have been met, and that the image integrity is maintained for all products. It is however noted that since the product accuracy is limited by the simulated sensor data, any quantitative assessment of image products can not be made until actual KOMPSAT images will be acquired.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.153-163
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• 2016

Intellectual output, such as research papers and patents, has increased due to the consistent investment of the government R&D budget, however, the economical outcome leaves much to be desired. These unsatisfactory results originate from the lack of information sharing about the technology's business compatibility and enterprise's business capability between technology supplier and technology user. This study aims at investigating the decision making process of technology commercialization by proposing an assessment model of the technology's business compatibility and enterprise's business capability. The assessment model was completed by selecting the key index through a literature survey, field survey and consultation with experts. The technology assessment model can be effectively utilized for technology licensing, technology start-up and technology selection in R&BD projects. However, the assessment indexes required for the basic science are not investigated in this study and some assessment indexes are differently interpreted by the individual appraisers. The assessment model will be improved through field application and additional studies will be conducted to develop the assessment model of basic science.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.9
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• pp.1125-1140
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• 2018

This paper analyzes robotic technology developed for live-line electricity distribution and its applicability to domestic environment. In doing so, available robotic systems developed for the live-line work are thoroughly investigated and compared in terms of from robotic functionality to economic feasibility. To assess the technology readiness for domestic live-line robot, the rubber gloves based direct live-line engineering methods have been also analyzed and mapped into robotic technology requisites. The results are expected as a fundamental data to help with solving the safety and economics issues when considering development and introduction of compact live-line robot for complex domestic electricity distribution environment.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.9 no.4
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• pp.219-230
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• 2011

The nuclear fuel cycle (NFC) analysis is a study to set a NFC policy and to promote systematic researches by analyzing technologies and deriving requirements at each stage of a fuel cycle. System analysis techniques are utilized for comparative analysis and assessment of options on a considered system. In case that NFC is taken into consideration various methods of the system analysis techniques could be applied depending on the range of an interest. This study presented NFC analysis strategies for the development of a domestic advanced NFC and analysis techniques applicable to different phases of the analysis. Strategically, NFC analysis necessitates the linkage with technology analyses, domestic and international interests, and a national energy program. In this respect, a trade-off study is readily applicable since it includes various aspects on NFC as metrics and then analyzes the considered NFC options according to the derived metrics. In this study, the trade-off study was identified as a method for NFC analysis with the derived strategies and it was expected to be used for development of an advanced NFC. A technology readiness level (TRL) method and NFC simulation codes could be utilized to obtain the required metrics and data for assessment in the trade-off study. The methodologies would guide a direction of technology development by comparing and assessing technological, economical, environmental, and other aspects on the alternatives. Consequently, they would contribute for systematic development and deployment of an appropriate advanced NFC.

• Journal of Korean Elementary Science Education
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• v.42 no.4
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• pp.523-537
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• 2023

This study encompassed the responses of 284 elementary school teachers, focusing on their teaching experiences, readiness, and needs for science education concerning the risk posed by science and technology. The key findings are summarized as follows. First, a significant portion of teachers lacked prior experience in addressing risks associated with science and technology within their science education practices. Second, a greater number of teachers were aware of the inclusion of risk-related content in the 2022 revised science curriculum's achievement standards than those who were not. Third, in terms of teachers' understanding of risk perception, risk assessment, and risk management, they demonstrated a relatively high level of understanding of risk perception but a lower level of understanding of risk assessment. Fourth, most teachers had not undergone any formal education or training related to risk. Fifth, among the 10 objectives of risk education, teachers displayed the highest competence in teaching "information use" and "action skills," while their lowest competence was observed in "interpreting probabilities" and "evaluating risk assessment." Sixth, a majority of teachers believe that it is important to teach about the risks posed by science and technology in school science classes, with "action skills," "information use," and "decision-making skills" being considered the most important and "action skills," "information use," and "influence of mass media" being regarded as the most urgent. However, teachers anticipated difficulties in addressing risk in school science classes, including a lack of relevant educational materials, a lack of understanding of teaching theories related to risk education, and the relationship between science curriculum content and achievement standards. Seventh, as a result of calculating the educational needs for each of the 10 goals of risk education, "influence of risk perception," "decision-making skills," "action skills," and "evaluate risk assessment" were the priority needs of elementary school teachers.

• Asian Journal of Innovation and Policy
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• v.4 no.1
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• pp.55-75
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• 2015

The purpose of this study is to find what competence determines the employment of college students using data from the K-CESA (Korea Collegiate Essential Skills Assessment) of a Korean university during 2009-2014. This test comprises of 6 categories of competence: self-management, global readiness, interpersonal relationship, resource/information/technology handling, communication and comprehensive reasoning. In addition to these competences, we add the comprehensive variable, grade point average. In order to identify the qualities of employment, employment was classified into 3 types: all employment, employment in decent jobs and employment in the top 500 companies. Results are as follows: For all employment and decent jobs, GPA and comprehensive reasoning were the meaningful variables. However in case of the top 500 companies, interpersonal relationship was added. Based on the analysis, this study suggests the fundamental concepts of college students' job competence: job specific competence, job basic competence, and basic competence.

• Ocean Systems Engineering
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• v.13 no.1
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• pp.21-41
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• 2023

Decarbonization and energy transition can be considered as a main concern even for the oil industry. One of the initiatives to reduce emissions under studies considers the use of renewable energy as a complimentary supply of electric energy of the production platforms. Wind energy has a higher TRL (Technology Readiness Level) than other types of energy converters and has been considered in these studies. However, other types of renewable energy have potential to be used and hybrid concepts considering wind platforms can help to push the technological development of other types of energy converters and improve their efficiency. In this article, a preliminary hydrodynamic assessment of a new concept of hybrid wind and wave energy conversion platform was performed, in order to evaluate the potential of wave power extraction. A multiple OWCs (Oscillating Water Column) WEC (Wave Energy Converter) design was adopted for the analysis and some simplifications were adopted to permit using a frequency domain approach to evaluate the mean wave power estimation for the location. Other strategies were used in the OWC design to create resonance in the sea energy range to try to maximize the potential power to be extracted, with good results.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.103-110
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• 2023

In this study, clustering analysis was performed to find out the influence of the maturity level of Industry 4.0 of SMEs in Korea, index factors of clustering, and major factors on the self-evaluation of companies. When 80 domestic SMEs were classified into 4 categories, it was found that there was a significant positive correlation between process, technology and organization. In addition, the majority of the 80 companies tested according to the maturity model appear to be immature or partially mature, and many improvements and re-evaluation of innovation strategies related to Industry 4.0 are needed. Finally, it was concluded that the Singapore Smart Industry Readiness Index is suitable for conducting self-assessment in domestic SMEs. These conclusions can serve as useful maturity and grouping guidelines for practitioners and researchers.

• Journal of Korean Society for Quality Management
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• v.45 no.3
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• pp.349-364
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• 2017

Purpose: The purpose of this study is to analyze quality control strengthening pilot project in development stages of weapon systems which ensures zero-defect. In order to achieve that, we propose collaboration support system between related organizations. Methods: First, we analyze how quality control methods has been developed from reviewing the preliminary study in commercial and defense industry. Then, we suggest improvement plans for quality control in defense industry and propose a pilot study which able to improve the recognized problems. Results: The results of this study ensures the participants in defense industry recognize the importance of quality control and form a consensus by sharing a case study. Finally, we propose the standardized work process by utilizing manual and manpower dispatching. Conclusion: As a result, this study clarifies the scope and role of relevant organizations to achieve the defense quality assurance in the total life cycle(TLC). Also, this paper guides the collaboration system between the relevant organization which differs from the commercial industry currently divided into development-production-quality.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.1-8
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• 2022

This work provides a reliable and classified stocks dataset merged with Saudi stock news. This dataset allows researchers to analyze and better understand the realities, impacts, and relationships between stock news and stock fluctuations. The data were collected from the Saudi stock market via the Corporate News (CN) and Historical Data Stocks (HDS) datasets. As their names suggest, CN contains news, and HDS provides information concerning how stock values change over time. Both datasets cover the period from 2011 to 2019, have 30,098 rows, and have 16 variables-four of which they share and 12 of which differ. Therefore, the combined dataset presented here includes 30,098 published news pieces and information about stock fluctuations across nine years. Stock news polarity has been interpreted in various ways by native Arabic speakers associated with the stock domain. Therefore, this polarity was categorized manually based on Arabic semantics. As the Saudi stock market massively contributes to the international economy, this dataset is essential for stock investors and analyzers. The dataset has been prepared for educational and scientific purposes, motivated by the scarcity of data describing the impact of Saudi stock news on stock activities. It will, therefore, be useful across many sectors, including stock market analytics, data mining, statistics, machine learning, and deep learning. The data evaluation is applied by testing the data distribution of the categories and the sentiment prediction-the data distribution over classes and sentiment prediction accuracy. The results show that the data distribution of the polarity over sectors is considered a balanced distribution. The NB model is developed to evaluate the data quality based on sentiment classification, proving the data reliability by achieving 68% accuracy. So, the data evaluation results ensure dataset reliability, readiness, and high quality for any usage.