• Applied Biological Chemistry
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• 제27권
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• pp.18-28
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• 1984

In order to improve feed values of Korean agricultural by-products, various treatments including physical, chemical, physicochemical and fermentation were suggested in th is review article. Physical treatments such as chopping, grinding and pelleting reduce partiole size of agricultural by-products, and increase passage rate from the rumen, thus may increase voluntary feed intake and weight gain. Digestibility and voluntary feed intake of straw, rice hull and sawdust, also, may be increased by chemical treatment using sodium hydroxide or ammonia. Especially, because nitrogen content of by-products increase and toxic problem is not posed by ammonia treatment, it's practical usage is recommended in Korea. Silage or fermentation treatment using principles of microbial fermentation may improve palatability of low quality by-products. As mentioned above, it is concluded that various treatments suggested are desirable and improve feed value but may raise several problems. Unfortunately, because cost for installation and products is great and processing work is complicate, farmers are not using well these processing methods until now. Therefore, in order to increase the practical usage at farm level, it is thought that many research works be achieved for efficient process which have simple operation and low installation cost.

• 대한산업공학회지
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• 제17권1호
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• pp.83-94
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• 1991

This study is concerned with the scheduling problem for mixed-model assembly lines in Just-In-Time(JIT) production systems. The most important goal of the scheduling for the mixed-model assembly line in JIT production systems is to keep a constant rate of usage for every part used by the systems. In this study, we develop two heuristic algorithms able to keep a constant rate of usage for every part used by the systems in the single-level and the multi-level. In the single-level, the new algorithm generates sequence schedule by backward tracking and prevents the destruction of sequence schedule which is the weakest point of Miltenburg's algorithms. The new algorithm gives better results in total variations than the Miltenburg's algorithms. In the multi-level, the new algorithm extends the concept of the single-level algorithm and shows more efficient results in total variations than Miltenburg and Sinnamon's algorithms.

• 비파괴검사학회지
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• 제28권3호
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• pp.254-262
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• 2008

The objective of the proposed study is to produce a tool-condition monitoring (TCM) strategy that will lead to a more efficient and economical drilling tool usage. Drill-wear monitoring is an important attribute in the automatic cutting processes as it can help preventing damages of the tools and workpieces and optimizing the tool usage. This study presents the architectures of a multi-layer feed-forward neural network with back-propagation training algorithm for the monitoring of drill wear. The input features to the neural networks were extracted from the AE signals using the wavelet transform analysis. Training and testing were performed under a moderate range of cutting conditions in the dry drilling of steel plates. The results indicated that the extracted input features from AE signals to the supervised neural networks were effective for drill wear monitoring and the output of the neural networks could be utilized for the tool life management planning.

• 한국도서관정보학회지
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• 제27권
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• pp.369-389
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• 1997

KDC(Korea Decimal Classification), which is representative literature classification scheme in Korea, was revised and published in 1996. The purpose of this paper is to suggest a reform measure after detecting out issues and problems associated with the KDC 4th ed. through the result of lecture. The outline of suggestions are as follows : (1) There are not all items of auxiliary tables in relative index. (2) Auxiliary table 2 (Geographic Areas) is not detailed. (3) The manual for the shake of efficient usage is nonexistent and notes are poor in content. (4) Sufficient minimax and alternatives must be setted up for efficiency usage. (5) Some parts of the main schedule are disorder and not logical.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 하계종합학술대회논문집
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• pp.126-129
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• 1998

In order to control the flow of traffics in ATM networks and optimize the usage of network resources, an efficient control mechanism is necessary to cope with congestion and prevent the degradation of network performance caused by congestion. This paper proposes a new UPC(Usage Parameter Control) mechanism that varies the token generation rate and the buffer threshold of leaky bucket by using a Neural Network controller observing input buffers and token pools, thus achieving the improvement of performance. Simulation results show that the proposed adaptive algorithm uses of network resources efficiently and satisfies QoS for the various kinds of traffics.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2010년 춘계학술대회논문집
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• pp.252-257
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• 2010

The availability of the thermal energy has been deeply recognized recently to encourage the cascade usage of thermal energy from combustion. Within the frame work, a 1 kW class Stirling engine based cogeneration system has been proposed for a unit of a distributed energy system. The capacity has been designed to be adequate for the domestic usage, which requires high compactness as well as low emission and noised. To develop a highly efficient system with satisfying these requirements, a premixed slot flame burner has been proposed and a series of numerical simulation has been performed to establish a design tool for the combustion chamber. The thermal radiation model has been found to highly affect the computational results and a proper resolution to analyze the heat transfer characteristics of the high temperature heat exchanger. Finally, the combustion characteristics of the premixed flame with the metal fiber type burner has been studied.

• 한국공작기계학회논문집
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• 제17권1호
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• pp.77-85
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• 2008

The objective of the study is to construct a sensor fusion system for tool-condition monitoring (TCM) that will lead to a more efficient and economical drill usage. Drill-wear monitoring has an important attribute in the automatic machining processes as it can help preventing the damage of tools and workpieces, and optimizing the drill usage. In this study, we present the architectures of a multi-layer feed-forward neural network with Levenberg-Marquardt training algorithm based on sensor fusion for the monitoring of drill-wear condition. The input features to the neural networks were extracted from AE, vibration and current signals using the wavelet packet transform (WPT) analysis. Training and testing were performed at a moderate range of cutting conditions in the dry drilling of steel plates. The results show good performance in drill- wear monitoring by the proposed method of sensor fusion and neural network analysis.

• 정보처리학회논문지D
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• 제17D권5호
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• pp.353-358
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• 2010

전통적인 데이터베이스와 달리, XML 스트림에 대한 질의는 실시간 처리와 메모리 사용량에 제한이 있다. 이 논문에서는 XML 조각들 사이의 구조적인 관계를 빠르게 확인할 수 있는 강력한 레이블링 기법을 제안한다. 제안된 레이블링 기법은 많은 중복된 작업과 처리해야 하는 조각들의 수를 최소화하여 효율적인 질의 처리를 제공한다. 실험 결과, 제안된 레이블링 기법은 효율적으로 질의를 처리하고 메모리 사용량을 최소화 할 수 있다.

• 대한안전경영과학회지
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• 제15권2호
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• pp.205-215
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• 2013

As far as recent investment in railway, disused railway yards is increased in each line and region. As a result, the interest of the related local government and agencies has increased on utilizing disused railway yards. In this study, we investigated the status of the disused railway yards and conducted legal review on the use of disused railway yards. In addition, we analyzed the disused railway yards use practices through case analysis and also suggested plans to diversify the ways of their usage.

• 디지털콘텐츠학회 논문지
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• 제5권3호
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• pp.234-238
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• 2004

이동통신 시스템 설비는 크게 이동가입자의 접속을 위한 커버리지(Coverage)와 트래픽 증가시 소요되는 추가 트래픽 이용(Usage) 장비로 나눌 수 있으며, 이 분류에 따라 유선사업자가 이동사업자에게 지불하게 되는 접속료의 규모가 결정된다. 본 논문에서는 국내 유선사업자와 이동통신 사업자간의 접속료 산정을 위한 사전 작업으로서 투자요구에 따른 이동통신 시스템 설비를 분류하기 위한 새로운 기준을 제시한다. 새로이 제시하는 분류 기준에서는 시스템 설비의 용량(Erlang, throughput)과 가입자 수요를 이용하여 설비별로 커버리지의 비율을 적용함으로서 사업자간 양보를 통한 상호 합의점을 도출할 수 있다.