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While commercialization of IoT technologies in the safety management sector is being promoted in terms of industrial safety of large indoor businesses, implementing a system for risk management of small outdoor work sites with frequent site movements is not actively implemented. In this paper, we propose an efficient dynamic workload balancing strategy which combined low-power, wide-bandwidth (LPWA) communication and low-power Bluetooth (BLE) communication technologies to support customized risk management alarm systems for each individual (driver/operator/manager). This study was designed to enable long-term low-power collection and transmission of traffic information in outdoor environment, as well as to implement an integrated real-time safety management system that notifies a whole field worker who does not carry a separate smart device in advance. Performance assessments of the system, including risk alerts to drivers and workers via Bluetooth communication, the speed at which critical text messages are received, and the operation of warning/lighting lamps are all well suited to field application.
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Data for occurrence of hail over Korean Peninsula for the period 1961-2005 are obtained from the Korea Meteorological Administration (KMA). According to the average occurrences during each season in Korea Peninsular, hail days are almost distributed uniformly in the spring, fall and winter, except the summer and have averages of 5 days for each season. Analysis of regional occurrence of hail shows that inland of Korea Peninsular is vulnerable to hail in the spring and summer and the islands of Ullung, Baegryeong and Cheju and the coastal regions vulnerable in the fall and winter. It can be postulated that these seasonal patterns of hail is affected by the Monsoon effect.
An efficient implicit multigrid method is presented for the Navier- Stokes and k-ω turbulence equations. Freezing and limiting strategies are applied to improve the robustness and convergence of the multigrid method. The eddy viscosity and strongly nonlinear production terms of turbulence are frozen in the coarser grids by passing down the values without update of them. The turbulence equations together with the Navier-Stokes equations, however, are consecutively solved on the coarser grids in a loosely coupled fashion. A simple limit for k is also introduced lo circumvent slow down of convergence. Numerical results for the unseparated and separated transonic airfoil flows show that all computations converge well without any robustness problem and the computing time is reduced to a factor of about 3 by the present multigrid method.
Experiments were performed to investigate the melting characteristics of pellet fuel made of LDPE and PP for a waste plastic firing boiler. Pellet fuel in a burner goes through conduction, convection and radiation transferred from flame in a furnace, and complex thermo/chemical processes. To figure out effects of ambient temperature and size of pellet on melting time pellets with a diameter from 5 ㎜ to 40 ㎜ were made to contact high temperature flue gas generated by a LNG firing pilot burner. Though melting processes of plastics include complicated heat transfer in a burner, parameters are limited to flue gas temperature and size for the simplicity in this study. From the results, melting times of LDPE and PP with a diameter of 5㎜ are 63 and 62 sees respectively at 600 ℃ while 677 and 583 sees respectively for a diameter of 40 ㎜. At 900℃, melting times of LDPE and PP with a diameter of 5㎜ are 21 and 24 sees respectively while 408 and 337 sees respectively for a diameter of 40 ㎜. It is found that melting time of LDPE is longer than that of PP, and melting times of both in general increase with diameter of pellets. It is thought melting is dependent mostly on melting temperature of plastic. It is expected melting times obtained from the study might be taken into account in designing a pellet firing burner for a boiler
이질적인 컴퓨팅 환경에서 다중 응용 프로그램은 안정적으로 수행되기 위해 제한된 자원을 공유하며 서로 경쟁한다. 더욱이 응용 프로그램이 수행되는 환경으로부터 획득된 불완전한 정보와 정보로부터 적응행동의 선택까지 소요되는 시간의 비용에서 발생하는 불확실성은 응용 프로그램이 환경에 적응하며 유연하게 동작하는 것을 어렵게 한다. 본 논문에서는 베이지안 네트워크를 이용하여 불확실한 정보를 확률 값으로 처리함으로써 적응 행동을 예측하도록 한다. 또한, 실제 시뮬레이션을 통해 제안된 미들웨어의 유용성을 확인한다.
The purpose of this paper is to provide a reasonable and economic method of the remaining life prediction for steel railroad short span bridge through compare the actual stress time history with simulated that. In this procedure the identified frequency distribution of stress range of the steel railroad bridge varies with the rational values of cutoff point and bar width. Thus, we show variable aspect of the equivalent stress range results from change cutoff point and bar width. And we analyze the variable of RMC and RMS model due to cut off point and bar width of the measured stress history influenced the prediction of fatigue life in the steel railroad bridge. The simulated stress time history is carried out by the superposition method incorporating the vertical load with rotation moment obtained from the Hemition interpolation function, and compared with developing stress results from measured maximum stress.