• Journal of KIISE:Software and Applications
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• v.36 no.5
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• pp.420-429
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• 2009

Patent text is a rich source for discovering technological trends. In order to automate such a discovery process, we attempt to identify phrases corresponding to the problem and its solution method which together form a technology. Problem and solution phrases are identified by a SVM classifier using features based on a combination of a language modeling approach and linguistic clues. Based on the occurrence statistics of the phrases, we identify the time span of each problem and solution and finally generate a trend. Based on our experiment, we show that the proposed semantic phrase identification method is promising with its accuracy being 77% in R-precision. We also show that the unsupervised method for discovering technological trends is meaningful.

• Journal of The Korean Association of Information Education
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• v.21 no.6
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• pp.619-627
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• 2017

The purpose of this study is to verify the effectiveness of the Development-oriented model (Discovery-Design-Development: DDD) for developing students' Computational Thinking skills in software education. DDD is a class model that learns the process of developing SW to solve real-life problems through three stages of Discovery, Design, and Development. In order to verify the effectiveness of the DDD, first grade students at G university who did not have SW education class were tested. As a result, the students who experienced SW development through DDD maintained the learning motivation of SW education before and after, especially the confidence area increased significantly. In addition, students also noted that the Design phase was particularly helpful in improving CT abilities and the DDD was a significant help in understanding of decomposition and algorithms.

• The KIPS Transactions:PartD
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• v.9D no.2
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• pp.215-226
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• 2002

Considering the rapid process of media's breakthrough and diverse patterns of consumptions's analysis, a uniform analysis might be much rooms to be desired for interpretation of new phenomena. In special, the products happening intensive sails on around an anniversary or fresh food have the restricted marketing hours. Moreover, traditional association rule discovery algorithms might not be appropriate for analysis of sales pattern given in a specific time because existing approaches require iterative scan operation to find association rule in large scale transaction databases. in this paper, we propose an incremental candidate set management model based on twin-hashing technique to find association rule in special sales pattern using database trigger and stored procedure. We also prove performance of the proposed model through implementation and experiment.

• School Mathematics
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• v.18 no.4
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• pp.839-856
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• 2016

In 2009 revision and 2015 revision mathematics national curriculum, 'proof' was moved to high school from middle school in consideration of the cognitive development level of students, and 'proof by contradiction' was stated in the "success criteria of learning contents" of the first year high school subject while it had been not officially introduced in $7^{th}$ and 2007 revision national curriculum. Proof by contradiction is known that it induces a cognitive conflict due to the unique nature of rather assuming the opposite of the statement for proving it. In this article, based on the logical, mathematical and historical analysis of Proof by contradiction, we looked about the introductions and the applications of the current textbooks which had been revised recently, and searched for improvement measures from the viewpoint of discovery, explanation, and consilience. We suggested introducing Proof by contradiction after describing the discovery process earlier, separately but organically describing parts necessary to assume the opposite and parts not necessary, disclosing the relationships with proof by contrapositive, and using the viewpoint of consilience.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1797-1808
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• 2021

Artificial intelligence is considered one of the core technologies leading the 4th industrial revolution. It is adopted in various fields bringing about a huge paradigm shift throughout our society. The field of biotechnology is no exception. It is undergoing innovative development by converging with other disciplines such as computers, electricity, electronics, and so on. In drug discovery and development, big data-based AI technology has a great potential of improving the efficiency and quality of drug development, rapidly advancing to overcome the limitations in the existing drug development process. AI technology is to be specialized and developed for the purpose including clinical efficacy and safety-related end points based on the multidisciplinary knowledge such as biology, chemistry, toxicology, pharmacokinetics, etc. In this paper, we review the current status of AI technology applied for drug discovery and consider its limitations and future direction.

• 순환기질환의공학회:학술대회논문집
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• 2006.10a
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• pp.10-13
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• 2006

Inflammation plays an important role in the progression of atherosclerosis and plaque destabilization converting a chronic process into an acute disorder with ensuing thromboembolism. Current therapeutic effective in preventing atherosclerosis and stroke such as statins, ASS and RAS inhibitors my exert part of their effects by modulating inflammatory responses in the vessel walls. As alternative approaches, discovery to find having inhibitory action of MMP activity, COX-2, macrophage infiltration, such as APE1/ref-1 and fusion technology for cell permeable protein may provide a new antiatherosclerotic therapy in the future.

• Proceedings of the PSK Conference
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• 2002.10a
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• pp.86-87
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• 2002

Recent technological innovations in the drug discovery process such as combinatorial synthesis and high throughput screening have led to the identification of an increasingly large number of compounds at the hits-to-leads stage. Therefore, rapid and precise pharmacokinetic/metabolic screening is essential to enhance the tractability of selected leads and to minimize the risk of failure in the later stages of drug development. (omitted)

• Tuberculosis and Respiratory Diseases
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• v.75 no.6
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• pp.236-237
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• 2013

Many attempts have been made to find genetic abnormalities inducing carcinogenesis after the development of epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor targeting EGFR in lung cancer. New target therapies have been already commercialized and studied along with the recent discovery of gene rearrangement involved in the carcinogenic process of non-small cell lung cancer. This study aims to investigate anplastic lymphoma kinase, c-ros oncogene 1, and receptor tyrosine kinase, in particular.

• Bulletin of the Korean Chemical Society
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• v.13 no.2
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• pp.103-105
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• 1992

• Journal of Korean Academy of Nursing Administration
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• v.19 no.3
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• pp.414-426
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• 2013

Purpose: The purpose of this study was to identify the process of overcoming the intention toward turnover experienced by career nurses. Methods: Data were collected from 10 career nurses though in-depth interviews about their experiences. The main question was "How do you describe your experience of the process of overcoming intention to turnover as a career nurse?" Qualitative data from field and transcribed notes were analyzed using Strauss & Corbin's grounded theory methodology. Results: From the participants' statement, 127 concepts, 34 subcategories and 13 categories were extracted through the open coding process. The core category was discovered to be 'back to the original place'. Phenomenon was identified as 'reached the threshold that cannot be withstood' and this series of process was categorized as having four stages: 'conflict', 'meditation', 'discovery' and 'conquest'. There were three types of overcoming turnover intention in career nurses, 'adjustment', 'compromise', 'self-led'. Conclusion: The results of this study produced useful information about the needs of career nurses during the process of overcoming turnover intention based on their stage and overcoming types of turnover intension. Ultimately this study may help decrease the turnover intention of career nurses.