최근 국내 선박충돌사고는 전체 해양사고의 약 20%~34%를 차지하며, 그 구성비 또한 매년 증가하는 경향을 나타내고 있다. 따라서 본 연구는 선박충돌회피를 효과적으로 지원하기 위해, 선박충돌회피에 큰 영향을 주는 선박조종성능과 근접상황 충돌회피지원을 위해 연구된 CCAS-Model(Close Quarters ship Collision Avoidance Support Model . 근접상황 충돌회피지원모델)을 기반으로 한 선박충돌회피지원 프로그램 개발을 목적으로 수행 되었다. 이 프로그램은 선박의 다양한 조우상황을 비교하고, 자선의 선회특성을 이용하여 상대선박의 침로, 속도 유지에 대한 충돌회피 가능영역과 방법을 나타냄으로써 근접상황에서도 신속한 피항동작의 검토 및 결정을 가능케 하며 효과적인 충돌회피 조선을 지원할 것이다.

본 논문에서는 자중이 작용하는 적층판의 변위를 최소화하는 지지봉의 개수와 위치의 최적화를 다루고 있다. 자중이 작용하는 적층판의 해석 수행 시 적층판과 지지봉, 적층판들 사이에 접촉이 발생한다. 이러한 접촉문제는 상용 해석 소프트웨어의 접촉 요소를 사용하면 쉽게 접근 할 수 있으나 상용 해석 소프트웨어는 여러 가지 접촉 상황을 모두 고려해야 하므로 효율이 떨어지며, 특정 접촉문제에서는 아주 긴 해석 시간을 요구한다. 따라서 본 논문에서는 상용 해석 소프트웨어의 접촉해석 기능 대신 선형해석 기능만을 사용하되 접촉면에 존재하는 요소들의 관계를 접촉 조건을 이용한 관계식으로 정의하여 해석을 수행하였다. 그 결과 상용 해석소프트웨어에서 제공하는 접촉해석과 동일한 결과를 도출하는데 약 30배에 해당하는 시간을 절감하였다. 그리고 이러한 해석 프로그램을 이용하여 지지봉의 개수와 위치에 관한 최적화를 수행하였으며, 그 결과 지지봉의 개수를 40% 절감하였고 그에 따른 지지봉의 최적 위치를 찾을 수 있었다.

  In order to implement Artificial Intelligence, various technologies have been widely used. Artificial Intelligence are applied for many industrial products and machine tools are the center of manufacturing devices in intelligent manufacturing devices. T

The previous research has been mainly focused on individual technology of voice recognition, voice synthesis, translation, and bone transmission technical. Recently, commercial models have been produced using aforementioned technologies. In this research,

In order to implement Artificial Intelligence, various technologies have been widely used. Artificial Intelligence are applied for many industrial products and machine tools are the center of manufacturing devices in intelligent manufacturing devices. The purpose of this paper is to present the design of Decision Support Agent that is applicable to machine tools. This system is that decision whether to act in accordance with machine status is support system. It communicates with other active agents such as sensory and dialogue agent. The proposed design of decision support agent facilitates the effective operation and control of machine tools and provides a systematic way to integrate the expert's knowledge that will implement Intelligent Machine Tools.

Platinum catalysts for the DMFC (Direct Methanol Fuel Cell) were impregnated on several carbon supports and their catalytic activities were evaluated with cyclic voltammograms of methanol electro-oxidation. To increase the activities of the Pt/C catalyst, carbon supports with high electric conductivity such as mesoporous carbon, carbon nanofiber, and carbon nanotube were employed. The Pt/e-CNF (etched carbon nanofiber) catalyst showed higher maximum current density of and lower on-set voltage of 0.54 V vs. NHE than the Pt/Vulcan XC-72 in methanol oxidation. Although the carbon named by CNT (carbon nanotube) series turned out to have larger BET surface area than the carbon named by CNF (carbon nanofiber) series, the Pt catalysts supported on the CNT series were less active than those on the CNF series due to their lower electric conductivity and lower availability of pores for Pt loading. Considering that the BET surface area and electric conductivity of the e-CNF were similar to those of the Vulcan XC-72, smaller Pt particle size of the Pt/e-CNF catalyst and stronger metal-support interaction were believed to be the main reason for its higher catalytic activity.

본 논문에서는 프리스트레스를 이용한 가시설 공법(IPS)에 적용되는 띠장의 거동의 해석 및 설계절차에 대한 연구를 수행하였다. 띠장에 초기장력이 도입되는 구조계는 탄성지반위에 놓인 보이론에 의하여 부재력이 산출되고, 토압에 의한 부재력은 장력을 부정정력으로 취하여 부정정 구조해석을 통하여 띠장의 축력 및 휨모멘트를 계산하였다. 지반은 압축력 전담요소, 케이블은 인장력 전담요소를 사용하여 등분포 토압 및 편토압을 받는 띠장의 전산해석을 수행하였다. 기존의 가시설 설계에 적용되는 토압을 적용하여 IPS 띠장설계를 실시하였고, 긴장력과 설계토압에 의한 축력과 휨모멘트를 계산하여 축응력과 휨응력을 도출하고 합성응력검토를 수행하였다.

Customer segmentation prediction has attracted a lot of research interests in previous literature, and recent studies have shown that artificial neural networks (ANN) method achieved better performance than traditional statistical ones. However, ANN approaches have suffered from difficulties with generalization, producing models that can overfit the data. This paper employs a relatively new machine learning technique, support vector machines (SVM), to the customer segmentation prediction problem in an attempt to provide a model with better explanatory power. To evaluate the prediction accuracy of SVM, we compare its performance with logistic regression analysis and ANN. The experiment results with real data of insurance company show that SVM superiors to them.

Poly(vinyl alcohol) (PVA)이 폴리술폰 한외여과 막, 술폰화된 폴리에테르술폰, 폴리아미드 나노 막 위에 코팅된 나노 복합막을 가압법에 의해서 제조되었다. PVA는 글루터알데하이드 수용액으로 가교되었다. 모든 지지층위에 PVA 희박용액이 성공적으로 코팅되어 나노복합막이 제조되었다. 지지막 위의 친수화도가 높아짐에 따라 수투과 유량이 증가하였다. 특히 음하전을 띠는 폴리아미드 나노 복합막의 제타전위는 PVA로 코팅함으로서 감소되었다. 막 오염 실험은 양이온을 띠는 계면활성제, 휴민산, 휴민산과 칼슘이온 복합체 및 bovine serum albumin을 사용하여 실행하였다. PVA로 코팅되지 않은 폴리아미드 나노복합막은 각각의 오염물질에 의해서 심하게 오염되었다. 휴민산과 단백질에 의한 오염은 오염물질의 등전점에서 가장 심하게 발생하였다. 휴민산에 이가 양이온을 첨가함으로서 오염이 심각하게 일어났다. PVA 수용액으로 폴리아미드 나노 복합막을 코팅함으로서 막 오염이 감소되었다. PVA로 코팅된 폴리아미드 나노 복합막은 산, 염기용액에 대해 저항성을 보였다.

This study develops a improved gate assignment algorithm and decision support system using its algorithm to extract a assignment result minimizing a walking distance of passengers in airport and maximizing the utilization rate of avaliable gates in domestic airports. By operation support system, it may contribute greatly in efficient enlargement of airport operation and increase the airport reliability through quickly coping with takeoff and landing delay of flight due to weather change, preservation and repair of gate, etc. Also, passengers who use airport terminal can minimize time and walking distance for departure, arrival, and transit, and it may greatly reduce the additional operation cost for common gates through maximizing the utilization rate for exclusive usage gates for airplanes which use gates.

The injection mold industry has strong relationship with many other industries. In the injection mold industry, the harmonious collaboration of the order-making companies, the mold-making companies, and the molded-parts making companies, which are distantly located, is very important. In this study, a web-based collaboration system is developed for the purpose. It offers the criterion to select appropriate production companies. It also tries to minimize the production cost of the mold design by distributing and evaluating the design information. The developed system is constructed using various recent web-programming tools.

As quality becomes a primary leading factor of organizational success, various management strategies have been In-troduced to Improve quality competitiveness Quality competitiveness, however, is difficult to measure and numerous organ-izations are struggl

This study develops a improved gate assignment algorithm and decision support system using its algorithm to extract a assignment result minimizing a walking distance of passengers in airport and maximizing the utilization rate of avaliable gates in domestic airports. By operation support system, it may contribute greatly in efficient enlargement of airport operation and increase the airport reliability through quickly coping with takeoff and landing delay of flight due to weather change, preservation and repair of gate, etc. Also, passengers who use airport terminal can minimize time and walking distance for departure, arrival, and transit, and it may greatly reduce the additional operation cost for common gates through maximizing the utilization rate for exclusive usage gates for airplanes which use gates.

This study was designed to determine the effects of different widths in the base of support (BOS) on trunk and lower extremity muscle activation during upper extremity exercise. Twenty-seven healthy male subjects volunteered for this study. Exercises were performed for a total of 10 trials with a load of 10 repetitions maximum (10 RM) for each of the various widths of BOS (10 cm, 32 cm, 45 cm). The width of a BOS is the distance between each medial malleoli when a subject was in a comfortable standing position. Electromyography was used to determine muscle activation. Surface bipolar electrodes were applied over the tibialis anterior, medial gastrocnemius, biceps femoris, rectus femoris, gluteus maximus, upper rectus abdominis, and elector spinae muscle. Electromyographic (EMG) root mean square (RMS) signal intensity was normalized to 5 seconds of EMG obtained with a maximal voluntary isometric contraction (MVIC). The data were analyzed by atwo-factor analysis of variance (ANOVA) with repeated-measures () and Bonferroni post hoc test. The results were as follows: (1) There were significant differences in the width of the BOS (p=.006). (2) The post hoc test showed significant differences with the BOS between 10 cm and 32 cm, between 10 cm and 45 cm and between 32 cm and 35 cm (p=.008, p=.003, p=.011). (3) There was no interaction with the BOS and muscle. (p=.438) There were no significant differences in the muscle activation (p=.215).