• 한국윤활학회:학술대회논문집
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• 한국윤활학회 2000년도 제31회 춘계학술대회
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• pp.54-61
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• 2000

A method and results of classification of 4 types metallic wear debris were presented by using their color features. The color image of wear debris was used (or the initial data, and the color properties of the debris were specified by HSI color model. Particle was characterized by a set of statistical features derived from the distribution of HSI color model components. The initial feature set was optimized by a principal component analysis, and multidimensional scaling procedure was used for the definition of classification plane. It was found that five features, which include mean values of H and S, median S, skewness of distribution of S and I, allow to distinguish copper based alloys, red and dark iron oxides and steel particles. In this work, a method of probabilistic decision-making of class label assignment was proposed, which was based on the analysis of debris-coordinates distribution in the classification plane. The obtained results demonstrated a good availability for the automated wear particle analysis.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2001년도 봄 학술발표회 논문집
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• pp.151-156
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• 2001

Concrete has excellent characteristics as building material and functions relatively well; but it has many problems concerning too heavy weight of the structures. Accordingly, it is the assignment for study in the part of building materials to lighten and high strengthen the weight of concrete structures in order to improve those weak Points; and it seems one of the representative solutions to develop the high strength lightweight aggregate concrete. Based on the experimental results presented, the following conclusions are drawn. The concrete with unit weight of 1.96~2.03t/$m^{2}$, compressive strength of 322~431kgf/$cm^{2}$ was gained. So, it appears that the lightweight aggregate concrete will be useful for low unit weight and high strength lightweight aggregate concrete. In the end, to manufacture artificial lightweight aggregate concrete for construction work is necessary to develope artificial aggregate which has improved performances physically.

• 한국경영과학회지
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• 제22권4호
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• pp.115-131
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• 1997

The problem addressed in this paper is to minimize the deviations of workloads assigned to worker and to maximize the total utilizations(degree of skill) between workers and machines simultaneously. Each worker can handle the set of machines with the different degree of skill and each machine has the workloads needed to be processed. Also, each worker has to be assigned to at least one machine with the minimum workload deviation. This problem can be formulated as a preemptive goal programming with generalized assignment constraints. The proposed algorithm consists of two phases. First, a capacitated circulation network is constructed to assign the workers to machines with the maximum total utilizations while considering workloads balance. Then, a refinement process is applied to the split machines to satisfy the feasibility condition. The real industrial application in a plastic extrusion manufacturer is included along with several computational experiments.

• 한국경영과학회지
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• 제29권4호
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• pp.175-187
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• 2004

We consider the simultaneous selection of part routes for multiple part types in Flexible Manufacturing Systems (FMSs). Using an optimization framework we investigate two alternative route assignment policies. The one, called routing mix policy in the literature, specifies the optimal proportion of each part type to be produced along its alternative routes, assuming that the proportions can be kept during execution. The other one, which we propose and call pallet allocation policy, partitions the pallets assigned to each part type among the routes. The optimization framework used is a nonlinear programming superimposed on a closed queueing network model of an FMS which produces multiple part types with distinct repeated visits to certain workstations. The objective is to maximize the weighted throughput. Our study shows that the simultaneous use of multiple routes leads to reduced bottleneck utilization, improved workload balance, and a significant increase in the FMS's weighted throughput, without any additional capital investments. Based on numerical work, we also conjecture that pallet allocation policy is more robust than routing mix policy, operationally easier to implement, and may yield higher revenues.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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• pp.994-998
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• 1987

We calculated the expected length of jumper wires on MDF(Main Distribution Frame) in case of random jumper assignment, and from the calculated results we considered an optimal method of terminal arrangement and terminal expansion for keeping the length of jumper wires short, where MDF is a large frame-work installed in a telephone office for accommodating the terminals which are used for connecting the outside facilities to the inside facilities of the telephone office. We also showed the jumper saving effect in modular frames.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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• pp.148-152
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• 2006

제품(또는 서비스)을 생산하기 위하여 여러 순차적인 작업이 수행되어야 하는 환경에서 생산자원(기계 또는 작업자)에게 얼마만큼의 요소작업을 배정하는가를 결정하는 작업배정(Work Assignment) 문제는 중요한 의사결정 문제이다. 일반적으로 이용하는 작업배정 방식은 각 생산자원에게 가급적 균등한 작업량을 배정하는 라인밸런싱(LB: Line Balancing) 전략이다. 그러나 LB 방식은 작업자의 작업속도 차이나 시스템의 여러 가지 변동 상황(기계고장, 품질문제 등)의 고려 없이 작업을 배정하기 때문에 실제로는 계획된 밸런싱효율을 달성하기 어렵다. Bucket Brigade (BB)는 이러한 문제에 대응하기 위한 새로운 작업배정 방법으로 제시되고 있다. BB는 개미의 협력작업 개념을 바탕으로 하는 분산 자율적인 작업배정 방법이다. 본 발표에서는 생산 및 물류시스템에서 BB의 적용 가능성과 문제점을 논의하고, 시뮬레이션을 통하여 여러 작업 환경에서 BB의 수행도를 분석한다.

• 대한가정학회지
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• 제39권10호
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• pp.1-17
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• 2001

This study is to develop cooperative learning aids for Clothing and Textiles classes, and to develop methods and tools for performance assessment. We have surveyed 127 students with‘class evaluation’questionnaire after teaching 9 classes through developed materials. As a result, we found that students preferred to cooperative learning and they tended to do their best in their assigned role in the cooperative learning. Meanwhile, we also found that they understood the assignment of performance assessment well and they felt lack of time to handle given tasks. It shows that we need to be flexible when applying a teaching method in a way that teachers give student more options to choose their duty and time span. Although a few students create a problem and delay their duty as disturbing cooperation in a group we anticipate that the developed teaching aids and performance assessment will be a great help to improve Home Economics classes. In closing, we believe that we can be open-minded Home Economics educators that continue to work on improving classes through developing diverse teaching aids and performance assessment.

• 대한수학회지
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• 제43권6호
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• pp.1269-1287
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• 2006

As a continuation of computing the zeta function of a regular covering graph by Mizuno and Sato in [9], we derive in this paper computational formulae for the zeta functions of a graph bundle and of any (regular or irregular) covering of a graph. If the voltages to derive them lie in an abelian or dihedral group and its fibre is a regular graph, those formulae can be simplified. As a by-product, the zeta function of the cartesian product of a graph and a regular graph is obtained. The same work is also done for a discrete torus and for a discrete Klein bottle.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제2권5호
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• pp.222-238
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• 2008

In this paper, the random key pre-distribution scheme introduced in ACM CCS'02 by Eschenauer and Gligor is reexamined, and a generalized form of key establishment is introduced. As the communication overhead is one of the most critical constraints of any successful protocol design, we introduce an alternative scheme in which the connectivity is maintained at the same level as in the original work, while the communication overhead is reduced by about 40% of the original overhead, for various carefully chosen parameters. The main modification relies on the use of a two-level key pool design and two round assignment/key establishment phases. Further analysis demonstrates the efficiency of our modification.

• KSTLE International Journal
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• 제1권1호
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• pp.34-42
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• 2000

A method and results of classification of four different metallic wear debris were presented by using their color features. The color image of wear debris was used far the initial data, and the color properties of the debris were specified by HSI color model. Particles were characterized by a set of statistical features derived from the distribution of HSI color model components. The initial feature set was optimized by a principal component analysis, and multidimensional scaling procedure was used fer the definition of a classification plane. It was found that five features, which include mean values of H and S, median S, skewness of distribution of S and I, allow to distinguish copper based alloys, red and dark iron oxides and steel particles. In this work, a method of probabilistic decision-making of class label assignment was proposed, which was based on the analysis of debris-coordinates distribution in the classification plane. The obtained results demonstrated a good availability for the automated wear particle analysis.