• Applied Chemistry for Engineering
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• v.7 no.1
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• pp.194-202
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• 1996

Hot melt adhesive based on the polyamide resin was studied to improve the conventional hot melt adhesives such as ethylene-vinyl acetate which have inherent problems against creep and heat resistance. It was found that the terpolymer of nylons6, nylon66, and nylon12 or the nylon blend instead of nylon homopolymer was suitable base resin for hot melt adhesives, since the disruption of regularity in the polymer chains reduced the crystallinity, resulting in lower melting point and melt viscosity. Also, the rheological properties of the polyamide based hot melt adhesive could be controlled by the incorporation of terpene resin, butyl benzyl phthalate, and paraffin wax. The results of melt viscosities and tensile properties of adhesive itself indicated that the optimum adhesion properties could be obtained through the blending of CM831/843P resins with weight ratio 75/25~50/50. The adhesion between steel and steel was tested by using lap shear geometry. It was found that the surface roughness of steel affected the adhesion strength.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.5
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• pp.533-538
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• 2004

This paper proposes a systematic method to develop short-term electrical load forecasting systems using neuro-fuzzy models. The proposed system predicts the electrical loads with the lead times of 1 hour, 24 hour, and 168 hour. To do so, the load forecasting system first builds an initial structure off-line for each hour of four day types and then stores the resultant initial structures in the initial structure bank. 96 initial structures are constructed for each prediction lead time. Whenever a prediction needs to be made, the proposed system initializes the neuro-fuzzy model with the appropriate initial structure stored and trains the initialized prediction modell. To improve the performance of the prediction system in terms of accuracy and reliability at the same time, the prediction model employs only two inputs. It makes possible to interpret the fuzzy rules to be learned. In order to demonstrate the viability of the proposed method, we develop a load forecasting system by using the real load data collected during 1996 and 1997 at KEPCO. Simulation results reveal that the prediction system developed in this paper can achieve a remarkable improvement on both accuracy and reliability

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.2
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• pp.154-162
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• 2003

In this paper, Associative Memory with Cellular Neural Networks classifies and recognizes image patterns as an operator applied to image process. CNN processes nonlinear data in real-time like neural networks, and made by cell which communicates with each other directly through its neighbor cells as the Cellular Automata does. It is applied to the optimization problem, associative memory, pattern recognition, and computer vision. Image processing with CNN is appropriate to 2-D images, because each cell which corresponds to each pixel in the image is simultaneously processed in parallel. This paper shows the method for designing the structure of associative memory based on CNN and getting output image by choosing the most appropriate weight pattern among the whole learned weight pattern memories. Each template represents weight values between cells and updates them by learning. Hebbian rule is used for learning template weights and LMS algorithm is used for classification.

• The KIPS Transactions:PartA
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• v.9A no.3
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• pp.271-280
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• 2002

In this paper, the input-output interconnection method of the multiple-valued signal processing circuit using Perfect Shuffle technique and Kronecker product is discussed. Using this method, the circuit design method of the multiple-valued Reed-Muller Expansions (MRME) which can process the multiple-valued signal easily on finite fields GF$(p^m)$ is presented. The proposed input-output interconnection methods show that the matrix transform is an efficient and the structures are modular. The circuits of multiple-valued signal processing of MRME on GF$(p^m)$ design the basic cells to implement the transform and inverse transform matrix of MRME by using two basic gates on GF(3) and interconnect these cells by the input-output interconnection technique of the multiple-valued signal processing circuits. The proposed multiple-valued signal processing circuits that are simple and regular for wire routing and possess the properties of concurrency and modularity are suitable for VLSI.

• Journal of the Korean Institute of Intelligent Systems
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• v.5 no.4
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• pp.41-55
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• 1995

In this paper, an optimal idenfication method using fuzzy-neural networks is proposed for modeling of nonlinear complex systems. The proposed fuzzy-neural modeling implements system structure and parameter identification using the intelligent schemes together wlth optimization theory, linguistic fuzzy implication rules, and neural networks(NNs) from input and output data of processes. Inference type for this fuzzy-neural modeling is presented as simplified inference. To obtain optimal model, the learning rates and momentum coefficients of fuzzy-neural networks(FNNs) are tuned automatically using improved modified complex method and modified learning algorithm. For the purpose of its application to nonlinear processes, data for route choice of traffic problems and those for activateti sluge process of sewage treatment system are used for the purpose of evaluating the performance of the proposed fuzzy-neural network modeling. The results show that the proposed method can produce the intelligence model with higher accuracy than other works achieved previously.

• Journal of the Korean School Mathematics Society
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• v.19 no.1
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• pp.1-19
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• 2016

This study investigated the mathematical notation used today in terms of skip ping the parenthesis. At first we have studied the elementary and secondary curriculum content related to omitted rules. As a result, it is difficult to find explicit evidence to answer that question 'What is the calculation of the $48{\div}2(9+3)$?'. In order to inquire the notation fundamentally, we checked the characteristics on prefix, infix and postfix, and looked into the advantages and disadvantages on infix. At the same time we illuminated the development of mathematical notation from the point of view of skipping the parenthesis. From this investigation, we could check that this interpretation was smooth in the point of view that skipping the parentheses are the image of the function. Through this we proposed some teaching methods including 'teaching mathematical notation based on historic genetic principle', 'reproduction of efforts to overcome the disadvantages of infix and understand the context to choose infix', 'finding the omitted parentheses to identify the fundamental formula' and 'specifying the viewpoint that skipping the multiplication notation can be considered as an image of the function'.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.6
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• pp.670-678
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• 2018

In coastal waters where the traffic volume of the ship is high, there is a high possibility of a collision accident because complicated encounter situations frequently occurs between ships. To reduce the collision accidents at sea, a quantitative collision risk assessment is required in addition to the navigator's compliance with COLREG. In this study, a new collision risk assessment system was developed to evaluate the collision risk on ship's planned sailing routes. The appropriate collision risk assessment method was proposed on the basis of reviewing existing collision risk assessment models. The system was developed using MATLAB and it consists of three parts: Map, Bumper and Assessment. The developed system was applied to the test sea area with simple computational conditions for testing and to actual sea areas with real computational conditions for validation. The results show the length of own ship, ship's sailing time and sailing routes affect collision risks. The developed system is expected to be helpful for navigators to choose the optimum safe route before sailing.

• Science of Emotion and Sensibility
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• v.10 no.1
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• pp.37-47
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• 2007

Color planning system can be treated as a decision support system which includes both the recommendation of main color and harmonious colors. In this paper, we propose techniques that are useful to enhance the harmonious color recommendation with the main color selected by user. In order to reflect the knowledge about suggestion of harmonious colors, we use Ostwald color harmony theory, that is very systematical and easy to implement. Actually, Ostwald color space is similar to HMMD color model in MPEG-7. Due to the similarity between two color spaces, Ostwald color space can be represented as a virtual HMMD color space. Accordingly, we propose a technique to align the HMMD color space with Ostwald color space, thereby it is capable of enhancing a performance to search the harmonious colors according to Ostwald harmony theory. For recommendation of delicate and more exquisite harmonious colors in equal hue plane, we made the virtual color space continuous. The system can recommend various harmonious colors according to Ostwald color harmony. He(she) can select harmonious colors among the suggestions from the system.

• Proceedings of the Korean Vacuum Society Conference
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• 1999.07a
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• pp.141-141
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• 1999

전기화학과 초고진공(ultra-high vacuum, UHV) 분광법을 이용하여 고체/액체의 계면에서 일어나는 현상을 분자단위에서 이해하고 조절하기 위한 연구를 수행하였다. 이들 중 전기화학으로 형성된 구리 및 은 금속(sub)monlayer 박막을 그 예로 선택하여 소개한다. 초박막 금속의 흡착량은 cyclic voltammogram과 새로 개발된 Auger electron spectroscopy (AES) 정량법을 통해 얻어졌고, 이 값들은 low energy electron diffraction (LEED) 및 in-situ atomic force microscopy (AFM)법을 이용한 구조 분석결과와 비교되어졌다. 또한 화학상태를 확인하기 위하여 core-level electron energyy loss spectroscopy (CEELS)를 사용하였다. 먼저 황산 전해질에서 금(111) 단결정 전극상에 전기화학적으로 형성된 굴의 계면특성을 조사하였다. 특정 전위값에서 2/3 ML의 구리와 1/3 ML의 음이온이 상호 흡착하여 ({{{{ SQRT { 3} }}$\times${{{{ SQRT { 3} }}) 격자 구조를 보였고, 전위값이 커지거나 줄어들면, 이 구조가 사라지는 현상이 관찰되었다. 즉 이 ({{{{ SQRT { 3} }}}}$\times${{{{ SQRT { 3} }}}}) 흡착구조는 첫 번째 UPD underpotential deposition) 피크에 특이하게 관련되어 있음을 알 수 있었다. 금속 초박막 형성에 미치는 음이온의 영향을 좀 더 확인하기 위해 초박막 은이 증착된 금 단결정 전극상의 황산 음이온에 관하여 연구하였다. 은의 증착이 일어날 수 없는 양전위값 영역에서 ({{{{ SQRT { 3} }}}}$\times${{{{ SQRT { 3} }}}})의 규칙적인 음이온의 구조를 보였다. 그리고 은의 장착은 세척 과정과 용액의 농도에 따라 p(3$\times$3)과 p(5$\times$5)의 규칙적인 두가지 구조를 가졌다. in-situ AFM에서는 p(3$\times$3)의 은 증착 구조만 나타났고, 음 전위값으로 옮겨가면 p(1$\times$1) 구조로 바뀌었다. ex-situ 초고진공 결과와 이 AFM의 in-situ 결과를 상호 비교 논의할 것이다. 음이온의 흡착이 없는 묽은 플로르산(HF) 전해질에서 은은 전위값을 음전위 쪽으로 이동해 감에 따라 p(3$\times$3), p(5$\times$5), (5$\times$5), (6$\times$6), 그리고 (1$\times$1)의 연속적 구조 변화를 보였다. 이 다양한 구조들을 AES로부터 얻어진 표면 흡착량과 연결시켰더니 정량적으로 잘 일치되는 결과를 보였다. 전기화학적인 증착에서는 기존의 진공 증착과 비교할 때 음이온의 공흡착이 금속 초박막 형성 메카니즘에 큰 영향을 미침을 알 수 있었다. 또한 은의 전기화학적 다층박막 성장은 MSM (monolayer-simultaneous-multilayer) 메카니즘을 따름을 확인하였다. 마지막으로 구조 및 양이 규칙적으로 조절되는 전극의 응용가능성이 간단히 논의될 것이다.

• Journal of Korean Library and Information Science Society
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• v.46 no.2
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• pp.367-392
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• 2015

In the library domain, the metadata concerning the journal and the articles published in the respective journal are the important attributes that can be used to search academic related information. In order to conduct this study, the American JATS standard and the XML DTDs of journal articles commonly used by well-known publishers were used. By comparing JATS standard to XML DTDs used by Elsevier and Springer, we were able to extract a total of 50 metadata elements(10 about the journals, 7 about the issues, 22 about the articles, and 11 about the authors). Additionally, we identified a total of 7 mandatory elements, 9 applicable mandatory elements, and 34 optional metadata elements. The implication of this study is that we selected metadata elements using XML DTDs that are used in the real world.