The effects of supplemental lighting (SL) timing on vegetative growth and the photosynthetic assimilation rate of young Cymbidium hybrids were examined. Nine month old C. ‘Yang Guifei’ and ‘Wine Shower’ were treated with four different SL timings: 22:00 – 02:00 (middle of the night, MN); 17:00 – 21:00 (end of day extension, DE); 07:00 – 09:00 plus 17:00 – 19:00 (both beginning and end of the night as split day extension, SDE), and non SL (8/16 h, short day, SD) for 4 months. All SL were provided by two types of 100% red LEDs (640 and 660 nm), with 150 μmol･m-2 ･s-1 and 800 μmol･mol-1 of CO2 supplied during the night (16 h). Pseudobulb diameters were significantly higher under SL treatments compared with the SD of both cultivars, irrespective of SL timing. Net photosynthetic assimilation rates were enhanced with increased SL, due to the additional photosynthesis and reduction of dark respiration. Thus, daily net photosynthetic amounts of SL treatments effectively increased photosynthesis compared to the SD. These results indicate that SL helps promote vegetative growth by enhancing photosynthesis. Since there were no significant differences among the SL timings when CO2 was provided uniformly during the night, we concluded that growth and photosynthesis of young Cymbidium do not depend on the timing of SL application, but are related to the daily light integrals, which is the amount of photosynthetically active photons delivered over 24 hours.

비가열 살균 기술 중 하나인 광펄스 기술을 이용하여 후추에 존재하는 미생물의 사멸 효과를 원통형 처리 용기를 이용하여 검토하였다. 후추에 존재하는 미생물의 오염도는 일반세균은 약 2.0-4.0×106 CFU/g, Bacillus cereus는 약 3.0-5.0×103 CFU/g이었다. 펄스 수 5 pps, 광원과 처리용기 사이의 거리 4 cm의 동일한 조건에서 빛의 세기를 달리하여 처리하였을 경우 빛의 세기가 강할수록 사멸정도는 증가하였으며, 빛의 세기 1,000 V에서 흑후추의 경우 일반세 균은 0.55 log, B. cereus는 0.6 log, 백후추의 경우 일반세균은 0.7 log, B. cereus는 0.6 log의 사멸효과를 보였다. 펄스 수를 달리하였을 경우에는 펄스수가 증가할수록 높은 사멸율을 보였으며, 광원과 처리 용기사이의 거리에 따른 사멸효과를 거리가 짧을수록 사멸율은 증가하였다. 입자의 크기에 따른 사멸 효과는 입자의 크기가 클수록 살균효과 가 높은 것으로 나타났다. 후춧가루의 살균에 있어 광펄스 기술은 처리 조건에 따라 40-80%정도의 사멸율을 나타내어 후춧가루의 비가열 살균 기술로서의 적용 가능성을 볼 수 있었다.

The rapid growth of engineering technology and the emergence of systemized and large-scale engineering systems have resulted in complexity and uncertainty throughout the lifecycle activities of engineering systems. This complex and large-scale engineering system consists of numerous components, but system failure can be caused by failure of any one of a number of components. There is a real difficulty in managing such a complex and large-scale system as a part. In order to efficiently manage the system and have high reliability, it is necessary to structure a system with a complex structure as a sub-system. Also, in the case of a system in which cause of failures exist at the same time, it is required to identify the correlation of the components lifetime and utilize it for the design policy or maintenance activities of the system. Competitive risk theory has been used as a theory based on this concept. In this study, we apply the competitive risk theory to the models with combined structure of series and parallel which is the basic structure of most complex engineering systems. We construct a competing risks model and propose a mathematical model of net lifetime and crude lifetime for each cause of failure, assuming that the components consisting a parallel system are mutually dependent. In addition, based on the constructed model, the correlation of cause of failure is mathematically analyzed and the hazard function is derived by dividing into net lifetime and crude lifetime.

This study was performed as the preliminary research to calculate the concentration of radon exposure and the annual effective dose in public hot spring bath-house. The research found that public bathhouses are the primary cause of the indoor air radon concentration inside a hot spring bathhouse. The indoor radon concentration inside a bathhouse differs significantly by region and among bathhouses in the same region, indicating that the indoor air radon concentration is affected by many factors. The annual effective indoor radon dose by exposure is estimated to range from 1.2×10−2mSv/y to 2.5×10−2mSv/y. Since this research is considered as preliminary research, further and additional relevant research to more reliably calculate the result are necessary, including accumulative research for indoor radon concentrations, and research for exposure coefficients such as the behavior patterns of public bathhouse users, etc.

This study is to develop a mathematical analysis model to grasp the behaviors of cartels. Cartels are formed tacitly and cause tremendous damage to consumers in modern society which is composed of advanced industry structure. The government authorities have instituted the leniency programs to respond cartels. However, cartels will continue unless there are legal sanctions against cartels based on an accurate analysis of leniency programs. The proposed cartel equilibrium analysis model is a mathematical behavior model which is based on the existing methods and the prison’s dilemma of game theory. Therefore, the model has a form of pay off matrix of two players. We use a iterated polymatrix approximation (IPA) method to deduct a Nash equilibrium point. The model is validated by an empirical analysis as well.