• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.3
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• pp.10-20
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• 2020

This paper presents a method to measure the similarity of assigned jobs in the gravure printing operation based on the chromaticity and color sequence, and order the jobs accordingly. The proposed dispatching rule can be used to fulfill diverse manufacturing site requirements because the parameters can be adjusted to prioritize chromaticity and color sequence. In general, dispatching rules either ignore the job-changing time or require that the time be clearly defined. However, in the gravure printing operation targeted in this study, it is difficult to apply the general dispatching rule because of the difficulties in quantifying the job-changing time. Therefore, we propose a method for generalizing assignment rules of the job planner, allocating relative similarity among assigned jobs, and determining the sequence of jobs accordingly. Chromaticity priority is determined by the arrangement of the color assignments in the printing operation; color sequence priority is determined by the addition, deletion, or change in a specific color sequence. Finally, the job similarity is determined by the dot product of the chromaticity and color sequence priorities. Implementation of the proposed dispatching rule at an actual manufacturing site showed the planner present the same job order as that obtained using the proposed rule. Therefore, this rule is expected to be useful in industrial sites where clear quantification of the job-changing time is not possible.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.9
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• pp.793-800
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• 2001

This paper deals with a new design methodology for a switching-type fuzzy-model-based controller in continuous and discrete-time system. Takagi-Sugeno (TS) fuzzy model is employed to design the switching-type fuzzy-model-based controller. A switching-type fuzzy-model-based controller is constructed based on the spirit of “divide and conquer”. The global system which has several rules in divided into several subsystems and then, a solution is found at each subsystem. The global solution is determined by a conjunction of the solutions of each subsystem. The design conditions are formulated in terns of linear matrix inequalities (LMIs), which guarantee the stabilization of a given TS fuzzy system. Simulation examples are included for ensuring the proposed control method.

• The Transactions of the Korea Information Processing Society
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• v.1 no.3
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• pp.319-326
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• 1994

Automatic control has been for the most part applied to linear systems where ti can be approximately formalized. In case that it is not definitely established the mathematical modelling to control objects, it requires manual control strategies which put under the human rule. In this paper, it constructs an FLC (Fuzzy Logic Controller) in order to turn a hand control into an automatic control in the domain of swimming pool that has been almost absolutely dependant on a skilled worker's experience. Genetic algorithms upgrade the knowledge which is acquired from human expert, using by FLC, so as to maintain knowledge in the very optimal way. It also designs an algorithm that modifies the rule base and the membership function at the same time, and ultimately will show that it can get better result than human controllers.

• The KIPS Transactions:PartA
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• v.11A no.2
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• pp.207-212
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• 2004

In this paper, based on SCORM Sequencing Model, we propose the learning content structure which has structure informations of learning object and decision rules how to transfer learning object to learner. It is intended to provide the technical means for learning content objects to be easily shared and reused across multiple learning delivery environment. We develop the generation tool of learning object sequencing, for processing the learning with variable teaching methodologies. The teaming objects also are automatically packaged the PIE(Package Interchange File) to transmit with SCORM RTE(Run-Time Environment) and attached SCO(Sharable Content Object) function for tracking learner information.

• Proceedings of the Korea Society for Simulation Conference
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• 2005.11a
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• pp.8-12
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• 2005

최근 마이크로 센서와 무선 통신 기술의 진보는 센서 네트워크의 발전을 가능하게 하였다. 이와 같은 사실은 무선 센서 네트워크를 위한 수많은 라우팅 프로토콜의 개발로 이어졌으며, 다양한 구조의 알고리즘들이 제안되었다. 특히, 디렉티드 디퓨젼(Directed Diffusion; DD)은 데이터 중심 기반의 라우팅 알고리즘으로 속성 칼 쌍을 이용하여 통신하는 센서 네트워크의 한 패러다임이라고 할 수 있다. 그러나 기존의 DD에서는 작업을 요청하는 질의 메시지(interest message)가 전체 센서 네트워크에 플러딩(flooding)되는데, 이러한 과정은 에너지 소비 측면에서 볼 때 매우 비효율적이라고 할 수 있다. 이와 같은 문제를 해결하기 위하여 본 논문에서는 센서 노드의 에너지와 밀도 정보를 고려한 임계값을 이용하여 데이터의 전송 지역을 제한함으로서, 네트워크의 에너지 소비를 줄일 수 있는 새로운 메시지 전달영역 제한기법(propagation limiting method; PLM)을 제안한다. 퍼지 규칙 기반 시스템은 센서 필드에 배치된 노드들의 에너지와 밀도 정보를 입력 파라미터로 사용하여 메시지 라우팅을 위한 임계값 결정에 사용된다 본 연구에서 제안된 기법을 사용하여 센서 네트워크의 에너지 소비를 실험한 결과 기존에 제안되었던 알고리즘들에 비해 상대적으로 높은 효율성을 나타내었으며, 전체적으로 네트워크의 수명도 연장할 수 있었다.

• Annual Conference on Human and Language Technology
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• 2011.10a
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• pp.107-109
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• 2011

기계학습은 학습말뭉치로부터 문제를 해결하기 위한 규칙을 학습하여 모델을 생성한다. 생성된 모델의 성능을 높이기 위해서는 문제에 적합한 자질들을 많이 이용해야 하지만 많은 자질들을 사용하면 모델의 생성시간은 느려지는 것이 사실이다. 이 문제를 해결하기 위해 본 논문에서는 다단계 기법을 적용한 기계학습으로 구묶음 시스템을 제작하여 학습모델의 생성시간을 단축하고 성능을 높이는 기법을 제안한다. 많은 종류의 자질들을 두 단계로 분리하여 학습하는 기법으로 1단계에서 구의 경계를 인식하고 2단계에서 구의태그를 결정한다. 1단계의 학습자질은 어휘 정보, 품사 정보, 띄어쓰기 정보, 중심어 정보를 사용하였으며, 2단계 학습자질은 어휘 정보와 품사 정보 외에 1단계 결과에서 추출한 구의 시작 품사 정보와 끝 품사 정보, 구 정보, 구 품사 정보를 자질로 사용하였다. 평가를 위해서 본 논문에서는 ETRI 구문구조 말뭉치를 사용하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.1
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• pp.209-221
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• 1999

Several approaches to anlayzing real-time schedulability have been presented, but since these used a fixed priority scheduling scheme and/or traverse all possible state spaces, there take place exponential time and space complexity of these methods. Therefore it is necessary to reduce the state space and detect schedulability at earlier time. This paper proposes and implements an advanced schedulability analysis algorithm to determine that is satisfied a given deadlines for real-time processes. These use a minimum execution time of process, periodic, deadline, and a synchronization time of processes to detect schedulability at earlier time and dynamic scheduling scheme to reduce state space using the transition rules of process algebra. From a result of implementation, we demonstrated the effective performance to determine schedulability analysis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.8
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• pp.1684-1690
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• 2003

In this paper, we proposed a fuzzy controller for the evaluation of the quantization Parameters in the H.263 coder to optimize the subjective quality of each coded frame, keeping the transmission rate constant. We adopted the Mamdani method for fuzzification and the centroid method for defuzzification. The energy and entropy are correlated to features of the HVS in spatial domain, while motion vectors are used to estimate the temporal characteristics of the signal. And then, the fuzzy inputs adapted the variance and the entropy in spatial domain, and the motion vector in temporal domain. We induced the fuzzy membership function and decided the fuzzy relevance to be compatible in visual characteristics. And then, we designed FAM banks. The fuzzy technology has been applied to a practical video compression. This results is obtained an effective rate control technique, an optimum bit allocation and a high subjective quality using fuzzy quantization.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.571-574
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• 2011

Special Working Group on Directives under ISO/IEC JTC 1 is responsible to maintain core documents describing basic procedural and drafting rules to be followed by JTC 1. The Directives SWG meeting was held from August 31 to September 2 in 2011 in Ottawa Canada. There were 24 participants from 7 countries in this meeting. This paper is to review the major results of the meeting and to suggest some strategic ways for future standardization activities in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.6
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• pp.1666-1672
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• 2008

USN Middleware plays roles of broker between sensors and applications. It collects sensor data, decides the situation and sends the result to the applications. It is not good to decide the situation from one sensor data, because it may error data or reflect small part of all. In this paper, we propose sensor 'group' concept. Group is the primary unit to decide the situation. It consists of several sensors which were installed in the same place and had the same pre-defined condition to act. For example, all fire sensors in the room simultaneously trigger the ring when the same pre-defined temperature is recorded. Then, the all fire sensors are included to the same one sensor group. All operations of the intelligent USN middleware are based on the 'group' unit. We studied the intelligent rules of USN middleware based on the group.