• Bulletin of the Korean Space Science Society
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• 2006.10a
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• pp.62-62
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• 2006

• Digital Contents
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• no.9 s.52
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• pp.28-33
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• 1997

검색은행(Search Bank - http://www.searchban.com/searchbank/ala_web)은 미국 톰슨사 계열의 Information Access Company(IAC)사에서 제공하는 학술, 경영, 경제, 과학기술, 법률, 보건 등 여러분야의 정보를 제공하는 데이터뱅크로서 인터넷을 통해 네스케이프나 익스플로러와 같은 웹브라우저로 검색할 수 있다.

• Proceedings of the Korean Society of Crop Science Conference
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• 2021.04a
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• pp.21-21
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• 2021

• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.105-117
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• 2019

Current Android smartphones include about 25 to 35 essential applications(unerasable) related to function and operation of the android smartphone itself and about 30 optional applications(removable) provided by carriers, Google and manufacturers. These applications were not able to be removed until the announcement of the smartphone applications pre-install guide from the government in January 2014, so there were memory limitations in installing new applications, causing consumer complaints by consuming data during the auto-update process of the pre-installed applications. After the announcement, we were able to delete optional applications but the complaints about the data consumption still did not disappear. Therefore, in this paper, we carried out the customer survey and analyzed the behavior information such as how carriers are operating pre-installed applications and what kind of applications customer prefers and how many applications customer wants to be pre-installed. And we proposed how to configure pre-install applications on smartphone for customer needs.

• Journal of the Korean Society for Heat Treatment
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• v.35 no.6
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• pp.327-336
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• 2022

In this study, a model for automatically recognizing several steel parts through a camera before charging materials was developed under the assumption that the temperature distribution in the pre-air atmosphere was known. For model development, datasets were collected in random environments and factories. In this study, the YOLO-v5 model, which is a YOLO model with strengths in real-time detection in the field of object detection, was used, and the disadvantages of taking a lot of time to collect images and learning models was solved through the transfer learning methods. The performance evaluation results of the derived model showed excellent performance of 0.927 based on mAP 0.5. The derived model will be applied to the model development study, which uses the model to accurately recognize the material and then match it with the temperature distribution in the atmosphere to determine whether the material layout is suitable before charging materials.

• Proceedings of the KIEE Conference
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• 2005.11b
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• pp.43-45
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• 2005

우리나라 전력기술 수준의 평가는 전력기술 중장기 발전계획에 대한 기초자료로서 전력인프라의 투자, 연구개발정책의 수립, 예산배분의 기된 데이터로서 활용되고 있지만, 대부분의 기술수준 평가방법이 전문가 설문조사에 의한 정성적 평가에 그치고 있어 산업 현장의 데이터가 반영되는 데는 미흡한 점이 있었다. 된 논문에서는 이러한 단점을 보완하기 위해 전력기술전반의 수준 평가를 전력산업 각 부분의 계량지표를 관간으로 산출하는 방법에 의한 계량적인 기술평가를 시도하였다. 이 정량적 평가결과를 전문가의 정성적 평가결과 및 과학기술부 조사결과와 대비함으로써 그 차이를 논하고 향후 해석적인 기술평가를 위한 발전방향을 제시하였다.

• Journal of Advanced Navigation Technology
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• v.23 no.1
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• pp.84-89
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• 2019

This is a pilot study of machine learning based structural health monitoring system using flight data of composite aircraft. In this study, the most suitable machine learning algorithm for structural health monitoring was selected and dimensionality reduction method for application on the actual flight data was conducted. For these tasks, impact test on the cantilever beam with added mass, which is the simulation of damage in the aircraft wing structure was conducted and classification model for damage states (damage location and level) was trained. Through vibration test of cantilever beam with fiber bragg grating (FBG) sensor, data of normal and 12 damaged states were acquired, and the most suitable algorithm was selected through comparison between algorithms like tree, discriminant, support vector machine (SVM), kNN, ensemble. Besides, through neighborhood component analysis (NCA) feature selection, dimensionality reduction which is necessary to deal with high dimensional flight data was conducted. As a result, quadratic SVMs performed best with 98.7% for without NCA and 95.9% for with NCA. It is also shown that the application of NCA improved prediction speed, training time, and model memory.

• Journal of Technology Innovation
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• v.32 no.2
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• pp.23-58
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• 2024

Despite the important roles of institutions and their collaboration in producing knowledge for innovation, the lack of accurate methods for identifying such knowledge-producing institutions has restricted empirical research on the role of institutions in innovation. This study explores methods to enhance the accuracy of identifying institutions involved in innovation process. To this end, we propose ways to improve accuracy in both aspects of information - data and algorithms - using bibliographic information in the digital health field. Specifically, in the data processing stage before applying algorithms, we address contextual inaccuracies of bibliographic information; in the algorithm application stage, we propose methods to improve the ambiguity of institution names (IND). When compared with the PKG dataset, which is publicly available datasets based on the same bibliographic information, our methods doubled the number of cases available for subsequent analysis. We also discovered that the contribution of Korean institutions in the digital health field is either underestimated or overestimated. The method presented in this study is expected to contribute to empirically researching the role of knowledge-producing institutions in innovation process and ecosystem.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.825-841
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• 2024

This study aimed to scrutinize the evolution of cosmetics research and development (R&D) in Korea, utilizing data from nationally funded R&D projects, and to suggest strategies to enhance the competitiveness of small and medium-sized enterprises (SMEs). A thorough analysis was performed on cosmetics-related national R&D funded project data from 2019 to 2023, a comprehensive analysis was conducted on annual trends, key organization, regional characteristics, major departments, and main functions and efficacy of R&D. The features revealed that the cosmetics industry, predominantly comprised of SMEs, is directing its efforts towards the development of a diverse range of functional products, with a recent shift towards the production of eco-friendly and sustainable materials. From a regional perspective, Gyeonggi-do and Chungcheongbuk-do had the highest levels of R&D activities, demonstrating the significant R&D capabilities of these local industry. It provides a systematic comprehensive analysis based on national R&D funded project data, identifies recent trends in the cosmetics industry, and evidence for SMEs to strengthen market competitiveness and establish long-term strategies for sustainable growth. Therefore, the results of this study dispense significant information and insights not only to SMEs but also to policymakers, using critical foundational data for formulating and implementing policies to advance the cosmetics industry.

• Journal of Korea Technology Innovation Society
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• v.22 no.2
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• pp.265-281
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• 2019

With the advent of the Internet-based economy, the dramatic changes in consumption patterns have been witnessed during the last decades. The seminal change has led by Data Technology, the integrated platform of mobile, online, offline and artificial intelligence, which remained unchallenged. In this paper, I use data analysis tool (TexTom) in order to articulate the definitfite notion of data technology from Internet sources. The data source is collected for last three years (November 2015 ~ November 2018) from Google and Naver. And I have derived several key keywords related to 'Data Technology'. As a result, it was found that the key keyword technologies of Big Data, O2O (Offline-to-Online), AI, IoT (Internet of things), and cloud computing are related to Data Technology. The results of this study can be used as useful information that can be referred to when the Data Technology age comes.