• Macromolecular Research
• /
• v.9 no.2
• /
• pp.100-106
• /
• 2001

Several star-polymers with aliphatic cores were synthesized by ring opening polymerization (ROP) of $\xi$-caprolactone using stannous 2-ethyl-hexanoate as a catalyst. The star-polymers were thoroughly analyzed by MALDI-TOF mass spectrometry, temperature gradient interaction chromatography and $\^$13/C-NMR to obtain detailed information of the molecular structure. The imperfection of the star-polymers seemed to be originated from restricted participation of sterically hindered hydroxyl groups of initiator. The synthesized star-polymers had narrow molecular weight distributions. Various reaction conditions to control the imperfection were studied.

• Proceedings of the KAIS Fall Conference
• /
• 2006.11a
• /
• pp.154-157
• /
• 2006

구리 나노와이어를 캡슐로 싼 탄소 나노튜브 오실레이터에 대한 특성을 분자동역학 시뮬레이션을 이용하여 분석하였다. 탄소-탄소 반데르발스 상호작용으로 인한 초과 힘은 탄소-구리 반데르발스 상호작용에 의한 초과 힘보다 더 크고 구리 원자의 질량이 탄소 원자의 질량보다 더 크기 때문에 탄소 원자는 구리 원자보다 더 쉽게 촉진되고 안쪽 나노튜브와 캡슐로 들어간 구리 나노와이어 사이의 충돌은 전체 초과 힘을 감소시키는 반발 힘을 만든다.

• 한국ITS학회:학술대회논문집
• /
• 2008.11a
• /
• pp.237-243
• /
• 2008

• Proceedings of the Korean Institute of Communication Sciences Conference
• /
• 2004.11a
• /
• pp.463-463
• /
• 2004

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.24 no.69
• /
• pp.93-106
• /
• 2001

This research includes the prototype development of the master plan title. "National Research and Development Program Integrated Management System". The system collects the information of projects, supports the survey analysis evaluation, and pre budget coordination of national research and development programs, and provide the information service for people about the situation of the national research and development. The results of the research may be used as the base technologies in information service(information retrieval directory service) to manage all programs of national research and development in their life cycle and to allocate resources efficiently to the national research and development in the increasing tendency. tendency.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.11
• /
• pp.3991-4010
• /
• 2021

The Question Similarity Measurement of Chinese Crop Diseases and Insect Pests (QSM-CCD&IP) aims to judge the user's tendency to ask questions regarding input problems. The measurement is the basis of the Agricultural Knowledge Question and Answering (Q & A) system, information retrieval, and other tasks. However, the corpus and measurement methods available in this field have some deficiencies. In addition, error propagation may occur when the word boundary features and local context information are ignored when the general method embeds sentences. Hence, these factors make the task challenging. To solve the above problems and tackle the Question Similarity Measurement task in this work, a corpus on Chinese crop diseases and insect pests(CCDIP), which contains 13 categories, was established. Then, taking the CCDIP as the research object, this study proposes a Chinese agricultural text similarity matching model, namely, the AgrCQS. This model is based on mixed information extraction. Specifically, the hybrid embedding layer can enrich character information and improve the recognition ability of the model on the word boundary. The multi-scale local information can be extracted by multi-core convolutional neural network based on multi-weight (MM-CNN). The self-attention mechanism can enhance the fusion ability of the model on global information. In this research, the performance of the AgrCQS on the CCDIP is verified, and three benchmark datasets, namely, AFQMC, LCQMC, and BQ, are used. The accuracy rates are 93.92%, 74.42%, 86.35%, and 83.05%, respectively, which are higher than that of baseline systems without using any external knowledge. Additionally, the proposed method module can be extracted separately and applied to other models, thus providing reference for related research.

• The Journal of Information Systems
• /
• v.28 no.3
• /
• pp.39-58
• /
• 2019

Purpose A digital twin is a digital replication of a physical system. Gartner identified the digital twin as one of the Gartner Top 10 Strategic Technology Trend for three years from 2017. The rapid development of the digital twin market is expected to bring about innovation and change throughout society, and much research has been done recently in academia. In this research, we tried to explore the main research trends for digital twin research. Design/methodology/approach We collected the digital twin research from Web of Science, and analyzed 804 articles that was published during time span of 2010-2018. A total of 41 key authors were selected based on the frequency of citation. We created a co-citation matrix for the core authors, and performed multivariate analysis such as cluster analysis and multidimensional scaling. We also conducted social network analysis to find the influential researchers in digital twin research. Findings We identified four major sub- areas of digital twin research: "Infrastructure", "Prospects and Challenges", "Security", and "Smart Manufacturing". We also identified the most influential researchers in digital twin research: Lee EA, Rajkumar R, Wan J, Karnouskos S, Kim K, and Cardenas AA. Limitation and further research suggestion were also discussed as a concluding remarks.

• Journal of Intelligence and Information Systems
• /
• v.9 no.2
• /
• pp.19-38
• /
• 2003

In this research, we propose the mechanism to develop self-evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most researchers had tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, this approach had some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, knowledge engineers had tried to develop an automatic knowledge extraction mechanism. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference engine. Our proposed mechanism has five advantages. First, it can extract and reduce the specific domain knowledge from incomplete database by using data mining technology. Second, our proposed mechanism can manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it can construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems) module. Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy relationships. Fifth, RDB-driven forward and backward inference time is shorter than the traditional text-oriented inference time.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.9 no.3
• /
• pp.46-57
• /
• 2006

The purpose of this study is to develop a GIS-based digital Forest Land-use(FLU) Map Building Process which will be adopted as the map publishment methodology for the official FLU Map notification in 2007. The process is composed of 6 steps, extracting forest lands from Continuous Land Map(CLM), extracting forest land borders restricted by other laws, extracting boundaries between semi- and reserve forest lands, making digital FLU map by integrating spatial and attribute data among the extractions, printing FLU map and FLU register, and re-correcting zoning errors. Through the process, in 1:25,000 and 1:5,000 scale, 14 and 173 sheets of the FLU Maps and it's register were created for the whole area of Hwaseong, Kyunggi.

• Journal of the Ergonomics Society of Korea
• /
• v.29 no.1
• /
• pp.39-46
• /
• 2010

The growth of function in vehicle needs complex display and control system, the In-Vehicle Information System(IVIS). Although current IVISs are widely implemented in commercial vehicles, a new form of IVIS has been recently studied in order to reduce drivers' workloads. The purpose of this study is to suggest an appropriate menu structure of a new type IVIS, to be implemented on the instrument cluster panel, using Taguchi's parameter design. In the research, firstly, functions were selected that are appropriate to control through the instrument cluster among existing functions of current IVISs by quantitative evaluation of ergonomic principles. Then, menu structure alternatives were extracted by investigating priorities to those functions selected. Finally, menu structure alternatives were evaluated through an experiment and suggest the most appropriate one by applying Taguchi's parameter design. Taguchi method was used not only for planning an experiment but also evaluating alternatives. SN ratios were a key value to evaluate the alternatives and to find the most proper one. Through the research, the most appropriate menu structure for the instrument cluster IVIS was finally suggested among the alternatives and it is expected that the results of this research could provide a guideline to the instrument cluster IVIS.