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The untimely death of Shin Hae-chul (b. 1968) in 2014 is an incident whose full significance we have yet to grasp. After spending his teenager days as a rock kid in Dobong district of Seoul during the 1980s, shin became a succesful pop star in the late 1980s. Then he formed N.ex.T, one of the most influential rock bands in the mid-1990s. From then on, he also positioned himself as a spokesman of liberal politics through his critique of South Korean society. This paper traces Shin’s geographic mobility and decodes the meanings of different places in Seoul (Jongro, Yeouido, and Gangnam) and London where he had studied music. By examining his practices in different places, the paper highlights the moments of his struggles in popular music and beyond. Shin Hae-chul’s creativity lies in the communicative value and intensity of his performance.
Fast incipient fault diagnosis is becoming one of the key requirements for economical and optimal process operation management in high-tech industries. Artificial neural networks have been used to detect faults for a number of years and shown to be highly successful in this application area. This paper presents a novel test technique for fault detection and classification for module process of TFT-LCD manufacture using support vector machines (SVMs). In order to evaluate SVMs, this paper examines the performance of the proposed method by comparing it with that of multilayer perception, one of the artificial neural network techniques, based on real benchmarking data.
The need of space-resolved x-ray photoelectron spectroscopy (XPS) has developed scanning photoelectron microscopy (SPEM). SPEM provides space-resolved XPS data from a spot of a sample as well as images of specific element, chemical state, valency distribution on the surface of a sample. Based on technical advancement of tight x-ray focusing, sample positioning accuracy, and electron analyzer efficiency, SPEM is now capable of providing ~100 nm space resolution for typical XPS functionality, and SPEM has become actively applied for the investigation of chemical state, valency, and electronic structure on the surface of newly discovered materials, such as graphene layers, dichalcogenide 2D-materials, and heterogenous new functional materials.
본 연구는 비안정적인 rework 발생 확률 자체가 납기 및 제품 품질에 매우 나쁜 영향을 미치는 복잡한 제조공정을 대상으로 rework 발생 확률의 변화에 따라 작업의 투입정책(dispatching policy)을 동적으로 변화시킬 수 있는 스케줄링 기법을 제안한다. 본 연구에서는 강화학습(reinforcement learning) 기법을 이용하여 시간의 흐름에 따라 변화하는 rework 발생 확률을 기반으로 작업 투입정책의 모수를 동적으로 조정함으로써 효율적인 투입계획을 수립하는 적응형 스케줄링 알고리즘을 제안하고, 다양한 현실적인 시나리오를 개발하여 그 성능을 테스트한다.
The problems of global warming and resource depletion caused by industrial and social development process have emerged as challenges that the world is now facing. In this respect, the excavation of environmentally friendly energy resources and development of utilization technologies has become a key task for all countries. This paper studied how to convert magnetic force into mechanical force and a new basic mechanism of converting magnetic force into mechanical force has been invented. Long-term reliability test, around 15 million times, was also conducted in –1℃~27℃ to evaluate the durability of magnetic force. As a results, tests showed that the deviation of the mechanical force is within 0.8% of initial force, and the relation in repulsive force(P) and ambient temperature(T) formulate to linear equation P=–0.175+78.945.
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In an environment of global competition, the success of a manufacturing corporation is directly related to bow it plans and executes production in particular as well as to the optimization level of its process in general. This paper proposes a production planning algorithm for the Multi-Level, multi-item Capacitated Lot Sizing Problem(MLCLSP) in supply chain network considering back-order. MLCLSP corresponds to a mixed integer programming(MIP) problem and is NP-hard. Therefore, this paper proposes an effective algorithm, GRHS (GRASP-based Rolling Horizon Search) that solves this problem within reasonable computational time and evaluates its performance under a variety of problem scenarios.
In these days, finding a new carbon-free energy resource is significant in order to resolve the global warming problems. In the same angle, this paper studied how to convert magnetic force into mechanical force and a new basic mechanism of converting magnetic force into mechanical force has been invented. Long term endurance test was also conducted for around 2 million times to ensure the durability of a new mechanism. As a result, tests showed that the deviation of the mechanical force is within 0.1% of initial force.
본 연구는 가격 및 수요 불확실성하의 강건한 (robust) 생산 및 수송 전략을 수립함으로써 수요 및 가격 불확실성이 존재하는 TFT-LCD 제조업 공급사슬망의 의사결정 문제를 해결하고자 한다. 품질로 구분되는 제품들의 생산, 재고 및 물류에 관한 의사결정을 조정하기 위해, 본 연구에서는 생산용량 제약, 해상/항공 수송 리드타임 및 용량 제약 등의 현실적인 제약조건들 이외에 시나리오 모델을 이용하여 수요 및 가격 불확실성을 함께 반영하는 확률적 혼합정수선형계획법모형들을 개발한다. 또한 이들 모형들의 효율적 솔루션을 위해 제안한 휴리스틱 알고리즘의 성능을 평가하도록 한다.