• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.31 no.6
• /
• pp.301-308
• /
• 2018

This paper presents an optimal design method of a hybrid structural control system considering multi-hazard. Unlike a typical structural control system in which one system is designed for one specific type of hazard, a simultaneous optimal design method for both active and passive control systems is proposed for the mitigation of seismic and wind induced vibration responses of structures. As a numerical example, an optimal design problem is illustrated for a hybrid mass damper(HMD) and 30 viscous dampers which are installed on a 30 story building structure. In order to solve the optimization problem, a self-adaptive Harmony Search(HS) algorithm is adopted. Harmony Search algorithm is one of the meta-heuristic evolutionary methods for the global optimization, which mimics the human player's tuning process of musical instruments. A self-adaptive, dynamic parameter adjustment algorithm is also utilized for the purpose of broad search and fast convergence. The optimization results shows that the performance and effectiveness of the proposed system is superior with respect to a reference hybrid system in which the active and passive systems are independently optimized.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2003.04a
• /
• pp.239-246
• /
• 2003

BPR(Business Process Re-engineering)은 업무 프로세스를 혁신적으로 재설계 함으로써 급속한 외부환경과 내부환경의 변화에 능동적으로 대처하고자 하는 기업의 경영혁신 기법, 조직 재설계의 수단으로 도입되었다. 해마다 시행되고 있는 정보화평가위원회의 국가 정보화 사업에 대한 평가는 정보화 사업의 성과관리에 있어 BPR에 따른 조직과 제도개선 성과를 포함하여 제도혁신에 대한 인센티브 제공 둥 조직과 제도혁신 강화의 필요성이 강하게 주장되는 등 BPR은 공공부문으로 점차 확대 될 추세이다. 본 연구는 조직적 문제의 해결을 통하여 지방자치단체 GIS의 효율성을 제고 하고자 하는 목적으로 출발하였다. 따라서 BPR의 이론적 고찰을 통하여 지자체 GIS BPR의 개념을 정의하고, 지방자치단체의 GIS 시스템 도입 이후의 업무 프로세스의 변화, 업무 변화의 양상, 잠재적 업무 효과를 BPR의 기법을 통해 보여줌으로써 조직 재설계의 수단으로 GIS BPR의 가능성을 모색하였다. 이는 GIS 발달 단계에 따른 효과 창출의 패러다임을 고려한 지방자치단체 GIS 업무의 변화를 수용하는 능동적이고 융통성 있는 조직 모형을 찾는 것이라 할 수 있다. 따라서 단위조직, 진화조직, 전체조직의 GIS 발달 단계에 따른 지방자치단체 GIS 조직 모형을 규정하였다. 본 연구를 통한 시사점은 지방자치단체 GIS 조직이 현재의 단위조직 수준에서 진화조직의 단계를 걸쳐 전체조직으로 향하는 가능성을 제시했다는 점이다. 이는 지방자치단체가 각각의 단계에서 GIS의 도입 효과를 창출하기 위하여 충실히 수행해 할 것이 무엇인지를 BPR을 통해 조직적 차원에서, 그리고 조직이 다루는 업무영역의 차원에서 접근했다는 점에서 그 의의가 있다. 본 연구의 결과를 통해 지방자치단체 GIS 기본계획에 있어 조직 측면의 장기적 비전의 제시가 가능하며 이를 통해 보다 성숙된 GIS 사업의 추진과 효율적인 시스템의 운영이 가능할 것이다.. 이상의 결과를 종합해볼 때, ${\beta}$-glucan은 고용량일 때 직접적으로 또는 $IFN-{\gamma}$ 존재시에는 저용량에서도 복강 큰 포식세로를 활성화시킬 뿐 아니라, 탐식효율도 높임으로써 면역기능을 증진 시키는 것으로 나타났고, 그 효과는 crude ${\beta}$-glucan의 추출조건에 따라 달라지는 것을 알 수 있었다.eveloped. Design concepts and control methods of a new crane will be introduced in this paper.and momentum balance was applied to the fluid field of bundle. while the movement of′ individual material was taken into account. The constitutive model relating the surface force and the deformation of bundle was introduced by considering a representative prodedure that stands for the bundle movement. Then a fundamental equations system could be simplified considering a steady state of the process. On the basis of the simplified model, the simulation was performed and the results could be confirmed by the experiments under various conditions.뢰, 결속 등 다차원의 개념에 대한 심도 깊은 연구와 최근 제기되고 있는 이론의 확대도 필요하다. 마지막으로 신뢰와 결속에 영향을 미치는 요소간의 개념적 분류, 차이의 검증, 영향력 등

• Journal of the Korean Institute of Intelligent Systems
• /
• v.24 no.1
• /
• pp.1-6
• /
• 2014

In this study, we propose optimized RBFNNs based on night vision face recognition simulator with the aid of $(2D)^2$ PCA algorithm. It is difficult to obtain the night image for performing face recognition due to low brightness in case of image acquired through CCD camera at night. For this reason, a night vision camera is used to get images at night. Ada-Boost algorithm is also used for the detection of face images on both face and non-face image area. And the minimization of distortion phenomenon of the images is carried out by using the histogram equalization. These high-dimensional images are reduced to low-dimensional images by using $(2D)^2$ PCA algorithm. Face recognition is performed through polynomial-based RBFNNs classifier, and the essential design parameters of the classifiers are optimized by means of Differential Evolution(DE). The performance evaluation of the optimized RBFNNs based on $(2D)^2$ PCA is carried out with the aid of night vision face recognition system and IC&CI Lab data.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.38 no.2
• /
• pp.9-24
• /
• 2010

This study investigates how students perceive landscape design studio classes and provides basic data to set guidelines for future student-oriented pedagogical strategies in landscape architectural design education. This study is based on the premise that the current dominant educational method, which is based on positivism, should shift to a constructivist approach, which allows students to question objective and absolute truths and restructure knowledge based on their own experiences. Unlike lecture-oriented classes, studio education relies heavily on the perceptions, attitudes, and capabilities of individual students because the nature of the class asks each student to find solutions to given project problems in creative and visual ways. Therefore, it is important to understand the psychological state of students during these classes in order to set alternative criteria for design studio education. This study contains three parts. The first part reviews theoretical discourses to understand the demands for a student-oriented educational paradigm shift and the nature of the design studio at many levels. The second part analyzes how students perceive design studio classes in terms of their satisfaction and stress levels and how studio classes affect their decision making regarding future careers. The stress levels accompanying the design process are also investigated, based on a survey of undergraduate students who are enrolled in the landscape architecture programs of four universities in Korea. According to the findings, design studio classes play a specific role in students' decision making about their future careers. Almost half of students turn out to be dissatisfied with their design education, and half of students suffer from high stress levels caused by studio classes, especially in the early phases of the design process. The findings suggest that instructors should give more attention to discovering ways to help students initiate the design process and bridge ideas and forms, provide clear guidelines for evaluation of students' abilities, and develop a more holistic approach in design studio classes that is based on individual problem-solving processes.

• Journal of Korean Society of Steel Construction
• /
• v.17 no.6 s.79
• /
• pp.661-672
• /
• 2005

For the efficient stochastic optimization of steel structures for which a large number of analyses is required, artificial neural networks,which have emerged as a powerful tool that could have been used to replace time-consuming procedures in many scientific or engineering applications, are applied. They are utilized for the solution of the equilibrium equations resulting from the application of the finite element method in connection with the reanalysis type of problem, for which a large number of finite element analyses are required in this study. As such, the use of artificial neural networks to predict finite element analysis outputs simplifies and facilitates the performance of the stochastic optimal design of structural systems where a trained neural network is used to replace the structural reanalysis phase. Moreover, to improve efficiency of used artificial neural networks, genetic algorithm is utilized. The stochastic optimizer used in this study is an algorithm based on the evolution theory. The efficiency of the proposed procedure is examined in problems with both volume (weight) functions and real-world cost functions

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.10 no.8
• /
• pp.1478-1489
• /
• 2006

This paper describes system to extract ISO codes in container image. A container ISO code recognition system for real-time processing is made of 5 core parts which are container ISO code detection and image acquisition, ISO code region extraction, individual character extraction, character recognition and database. Among them, the accuracy of ISO code extraction can affect significantly the accuracy of system recognition rate, and also the more exact extraction of ISO code is required in various weather and environment conditions. The proposed system produces binary of the ISO code's template lesions using an adaptive thresholding, extracts candidate regions containing distribution of ISO code, and recognizes ISO codes as detecting a final region through the verifications by using character distribution characteristics of ISO code among the extracted candidates. Experimental results reveal that ISO codes can be efficiently extracted by the proposed method.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.8 no.4
• /
• pp.281-298
• /
• 2015

From the complexity system theory, City is dynamic system which has evolved through evolution and adaptation in initial conditions and different situation. So people's active should involve in decision-making processes in the urban planning. And this suggests that responding to the demands of its citizens are important factors influencing the process of urban planning. The implications of this study are following: using big data helps people understand current social phenomena. Specifically, it figured out latent needs of citizens that traditional survey methods could not before. we can make the most of new opportunities given by digital data and prevent potential dangers in advance. They are complementary and do not replace one another.

• Journal of Digital Convergence
• /
• v.15 no.6
• /
• pp.155-164
• /
• 2017

The purpose of this study is to analyze the similarities and differences between motivation and usage according to morphological differences between Facebook and Instagram. The formative differentiation of third-generation SNS such as intuitive image and limited network poses the necessity of recognizing individual service users as distinct groups in SNS research. Therefore, this study was conducted to analyze the differences of motivation and usage, according to the motivation of using Facebook and Instagram by 255 university students. As a result, 7 factors were found as motivation for SNS use, and there were therein motivational differences between Facebook and Instagram users. This study is expected to contribute to the prediction of user's attitude change according to the morphological evolution of SNS in the future, and to expand the application to such related fusion research as GUI design and corporate PR marketing.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.24 no.3
• /
• pp.330-336
• /
• 2014

Many industrial processes such as continuous stirred tank reactors(CSTRs), desalination plant, distillation columns, pH neutralization processes and so on exhibit highly nonlinear characteristic and time-varying behavior during operation. The control of such processes has been challenging to control engineers. Hence, a variety of forms of PID controllers and their tuning rules for industrial processes have been developed to guarantee the best performance. In this paper, a scheme that designs the practical PID controller with an anti-windup strategy incorporating with an evolutionary algorithm(EA) is presented for the concentration control of a nonisothermal CSTR. EA is used to tune the parameters of the overall PID control process with anti-windup by minimizing the integral of absolute error(IAE). Simulation works for reference tracking and disturbance rejecting performances and robustness to parameter changes show the feasibility of using the proposed method.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.21 no.3
• /
• pp.323-328
• /
• 2011

In real system application, the 3-D obstacle avoidance system for the autonomous control of the underwater flight vehicle (UFV) operates with the following problems: the sonar offers the range/bearing information of obstacles in a local detection area, it requires the system that has reduced acoustic noise and power consumption in terms of the autonomous underwater vehicle (AUV), it has the UFV operation constraints such as maximum pitch and depth, and it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an intelligent 3-D obstacle avoidance algorithm using the evolution strategy (ES) and the fuzzy logic controller (FLC), is proposed. To verify the performance of the proposed algorithm, the 3-D obstacle avoidance of UFV is performed. Simulation results show that the proposed algorithm effectively solves the problems in the real system application.