• 한국항공운항학회지
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• 제30권3호
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• pp.109-116
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• 2022

A modular platform development technique was proposed to minimize development cost and development period by utilizing the already developed unmanned Aerial target AVT, which has been operated and verified for many years. New Mission Profile was designed and structural analysis was performed through finite element analysis (FEA) by analyzing mission requirements for visual short-range, non-visible mid-range, and long-range targets. The targets are used for guided missile anti-aircraft training. In addition, avionics systems including flight control computers for autonomous flights were developed to verify their conformance by performing launcher take-off tests with rapid acceleration changes and autonomous flight tests at a maximum speed of 300km per hour.

• 한국통신학회논문지
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• 제29권5C호
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• pp.618-626
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• 2004

본 논문에서는 로봇의 endeffector를 인식하기 위하여 모듈라 신경회로망인식 시스템을 제안 및 구현하였다. 본 논문에서 제안한 로봇 endeffector 인식시스템은 영상을 획득하고 획득한 영상에서 전처리를 이용하여 로봇의 enddffector를 검색하기 위한 특징 값들을 구한다. 3차원 공간에서 로봇의 endeffector는 움직임에 따라 다양한 형태로 변화하므로 빠르고 정확하게 endeffector를 인식하기 위하여 위치검출 신경회로망 모듈과 크기 검출 신경회로망 모듈로 이루어진 다중모듈신경회로망(MNN; Modular Neural Network)을 이용한다. 이렇게 함으로써 각각의 모듈들에 신경회로망의 인식 능력을 이용하여 로봇 endeffector를 인식하고 좀더 빠른 시간 내에 위치 및 크기를 검출하도록 하는 로봇 endeffector 인식시스템을 구성하도록 하였다. 본 논문에서 제안한 인식 시스템은 잡음에 덜 민감하며 로봇의 endfeector를 인식하는데 좋은 성능을 보임을 알 수 있다. 다중 모듈 신경회로망을 이용한 방법은 기존의 단일 신경회로망보다 14％ 향상된 94％의 인식률을 보이며 원격지에 있는 운영자의 편의를 위해 로봇의 endeffector를 인식하여 화면의 정 중앙에 정확히 위치시킬 수 있다.

• 한국주거학회논문집
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• 제24권1호
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• pp.69-78
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• 2013

Recently, due to the casualties and property damage caused by disasters, it became important to evacuate the victims to a safe place and come up with a space for them to inhabit for a certain period of time. Therefore, this study aims to design and develop a temporary housing system that would quickly provide a safe and comfortable living space until the displaced persons can return to a normal life again when a disaster occurs. As a result, a system of a BIM-based modular housing, a modular town through automatic placement, and a method to calculate the capacity and the total cost was developed. As this system provides the temporary housing facilities and the site in 3D, it can be utilized as a training material on a normal basis, as well as the first case material for rapid decision making when there is a disaster.

• 한국정보시스템학회지:정보시스템연구
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• 제1권
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• pp.149-178
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• 1992

The field of Artificial Intelligence (AI) is growing, and many firms are investing in expert system, one of AI's subfields. An expert system is defined as a computer program designed to replicate some aspect of the decision making of one or more experts and to be used by nonexperts. The kernel of an expert system is the knowledge base, which consists of the facts and rules that represent the expert's knowledge. Firms need expert systems for training employees to provide competitive advantage. This paper describes the model of an instructional expert training system which interfaces to external programs, such as an ASCII file, a work-sheet program, and a database program. A model for such an expert training system, and its prototype have been developed to demonstrate its functionality. A modular knowledge base has been developed and implemented in support of this study. The modularized knowledge base offers the user an easy and quick maintenance of facts and rules, which are frequently required to change in future.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 하계종합학술대회 논문집
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• pp.496-499
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• 1999

This paper describes a medular neural network(MNN) for a vision system which tracks a given object using a sequence of images from a camera unit. The MNN is used to precisely recognize the given robot endeffector and to minize the processing time. Since the robot endeffector can be viewed in many different shapes in 3-D space, a MNN structure, which contains a set of feedforwared neural networks, co be more attractive in recognizing the given object. Each single neural network learns the endeffector with a cluster of training patterns. The training patterns for a neural network share the similar charateristics so that they can be easily trained. The trained MNN is less sensitive to noise and it shows the better performance in recognizing the endeffector. The recognition rate of MNN is enhanced by 14% over the single neural network. A vision system with the MNN can precisely recognize the endeffector and place it at the center of a display for a remote operator.

• 수산해양교육연구
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• 제25권6호
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• pp.1273-1284
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• 2013

The purpose of this study is to develop vocational English textbooks for vocational high school, especially marine production high school. Vocational English is intended to increase English proficiency in the area of specific industry or jobs. Based on the review of the literature, the study established developed vocational English textbooks for marine production high school based on the modular system. The developing process includes analysis for marine production job, marine production high school and current English textbook for marine production. Based on the analysis, this study developed English contents which marine production students utilize in not only school but also workplace. Also, this study suggests future research directions for effective development and use of the textbooks in the vocational high schools.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.248-254
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• 2022

Educational innovations are first created, improved or applied educational, didactic, educative, and managerial systems and their components that significantly improve the results of educational activities. The development of pedagogical technology in the global educational space is conventionally divided into three stages. The role of innovative technologies in Higher School practice is substantiated. Factors of effectiveness of the educational process are highlighted. Technology is defined as a phenomenon and its importance is emphasized, it is indicated that it is a component of human history, a form of expression of intelligence focused on solving important problems of being, a synthesis of the mind and human abilities. The most frequently used technologies in practice are classified. Among the priority educational innovations in higher education institutions, the following are highlighted. Introduction of modular training and a rating system for knowledge control (credit-modular system) into the educational process; distance learning system; computerization of libraries using electronic catalog programs and the creation of a fund of electronic educational and methodological materials; electronic system for managing the activities of an educational institution and the educational process. In the educational process, various innovative pedagogical methods are successfully used, the basis of which is interactivity and maximum proximity to the real professional activity of the future specialist. There are simulation technologies (game and discussion forms of organization); technology "case method" (maximum proximity to reality); video training methodology (maximum proximity to reality); computer modeling; interactive technologies; technologies of collective and group training; situational modeling technologies; technologies for working out discussion issues; project technology; Information Technologies; technologies of differentiated training; text-centric training technology and others.

• 한국산업융합학회 논문집
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• 제13권1호
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• pp.49-54
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• 2010

Lean 6 sigma has recently been used to describe a management system which combines lean management and 6 sigma. The marriage between Lean manufacturing and 6 sigma has proven to be a powerful tool for cutting waste and improving the organization operations. Time and quality are the most important metrics in improving any company's production and profit performance. lean 6 sigma is a management innovation for improving production efficiency, process quality, cost reduction, investment efficiency and customer's satisfaction. in this paper, Advanced cell line is builded the home appliance goods of the LCD TV final assembly line of domestic company line, training the multi-skilled man and controlling the production information system based on Lean 6 sigma.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.59-64
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• 2001

The robot soccer simulation game is a dynamic multi-agent environment. In this paper we suggest a new reinforcement learning approach to each agent's dynamic positioning in such dynamic environment. Reinforcement learning is the machine learning in which an agent learns from indirect, delayed reward an optimal policy to chose sequences of actions that produce the greatest cumulative reward. Therefore the reinforcement learning is different from supervised learning in the sense that there is no presentation of input pairs as training examples. Furthermore, model-free reinforcement learning algorithms like Q-learning do not require defining or learning any models of the surrounding environment. Nevertheless it can learn the optimal policy if the agent can visit every state- action pair infinitely. However, the biggest problem of monolithic reinforcement learning is that its straightforward applications do not successfully scale up to more complex environments due to the intractable large space of states. In order to address this problem. we suggest Adaptive Mediation-based Modular Q-Learning (AMMQL)as an improvement of the existing Modular Q-Learning (MQL). While simple modular Q-learning combines the results from each learning module in a fixed way, AMMQL combines them in a more flexible way by assigning different weight to each module according to its contribution to rewards. Therefore in addition to resolving the problem of large state effectively, AMMQL can show higher adaptability to environmental changes than pure MQL. This paper introduces the concept of AMMQL and presents details of its application into dynamic positioning of robot soccer agents.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.833-835
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• 2014

본 연구에서는 호흡동조방사선치료(Respiratory Gating Radiation Therapy, RGRT)에서 매우 중요한 요소 중에 하나인 호흡의 안정성을 효과적으로 향상 시킬 수 있는 호흡연습장치(respiratory training system)를 개발하였다. 개발한 호흡연습장치는 개인고유의 호흡주기를 적용하여 환자에게 편안한 호흡유도를 제공한다. 충분한 연습시간을 부여하기 위해 언제 어디서나 쉽고 간편하게 연습 할 수 있도록 휴대형 기기에 모듈화 시켰으며, 이를 환자에게 제공함으로써 호흡동조방사선치료의 효율성과 정확성을 높이고자 했다. 호흡연습장치를 사용했을 때 호흡의 규칙성, 안정성, 지속성 향상 정도를 알아보기 위해 5명을 대상으로 실험을 진행 하고자 한다. 개인이 자유롭게 호흡하는 '자유호흡(free breathing)' 개인고유 호흡주기를 적용하여 시청각 프로그램을 통해 호흡을 유도하는 '모니터호흡(guide breathing)' 호흡연습 후 시청각 프로그램 없이 호흡하는 '예측호흡(predict breathing)' 3가지 호흡법의 데이터를 이용하여 호흡주기(period)와 호흡깊이(amplitude) 및 호흡패턴(Area)의 변화를 정량적으로 분석함으로써 휴대형 호흡연습장치의 유용성을 평가하고자 한다.