• Journal of the military operations research society of Korea
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• v.17 no.1
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• pp.61-83
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• 1991

There has been a great deal of research dealing with the optimal replacement of stochastically deteriorating equipment and research in queueing systems with a finite calling population. However. there has been a lack of research which combines these two areas to deal with optimal replacement for a fixed number of machines and a limited number of repairmen. In this research, an optimal control policy for replacement involving two machines and one repairman is developed by investigating a class of age replacement policies in the context of controlling a G/M/1 queueing system with a finite calling population. The control policy to be imposed on this problem is an age-dependent control policy, described by the control limit $t^{\ast}$. The control limit is operational only when the repairman is idle; that is. if both machines are working, as soon as a machine reaches the age $t^{\ast}$ it is taken out of service for replacememt. We obtain the ${\epsilon}$-optimal control age which will minimize the long-run average system cost. An algorithm is developed that is applicable to general failure time distributions and cost functions. The algorithm does not require the condition of unimodality for implementation.

• The Korean Journal of Zoology
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• v.5 no.1
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• pp.13-20
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• 1962

1. 1957년 8월 7일부터 18일까지 계룡산에서 고도차분포를 조사하기 위하여 고도별 4 지점에서 과물 (복숭아, 도마도) trap를 사용하여 오전 6시와 오후 6시에 동시에 초파리를 채집하였다. 그리고 sweeping 도 하여 총 33 종을 채집하였는데 다음종들은 높은 지점에서 발견되었다. Microdrosophila purpurata, Mycodrosophila basalis, Parascaptomyz disticha, Scaptomyza aplicalis , Drosophila histrioides, D.difasciata, D.histrio. 그리고 초파리의 성비가 고도에 따라 변동하였음을 관찰하였는데 특히. D. suzukii 는 저지에서 충이 현저히 많았던 것이 700미 고지에서는 거의 1 : 1의 성비를 보여주었다. 300 미높이의 (B) 지점에서 D.lacertosa 와D. Coracina 의 일주기활동은 반대적이었는데 D.lacertosa 는 습도가 높은 아침에 주로 활동하고, D.coracina는 이와 반대로 주로 오후에 활동하고 있음을 알았다. 2. 초파리 집단의 계절적 변동을 조사하기 위하여 1958년 4월부터 11월까지 매일 중순삼일씩 공주잠업시험소구내 상전에서 그리고 동년 5월 터 11월까지는 매일 초순삼일식 계룡산에서 각각 5개의 과물 trap를 설치하고 비교관찰하엿따. 매월 초파리종들의 계절적 변동은 3 표와 4 표에 기재된 바와같다. 특히 D.auraria는 두장소에서 우점종이었는데 공주잠업시험소구내 상전에서는 9월에 최고에 달했고, 계룡산에서는 8월에 최고에 달하는 unimodality를 표시하였다. 3 . 초파리의 일주기활동을 조사하기 위하여1959년 6월부터 10월까지 공주잠업시험소구내 상전에서 매월 2일간씩 2시간마다 채집을 하였다. 이 지방에서 우점종인 D.auraria 는 매월 일주기활동에 있어서 bimodality를 형성하였는데 9, 10월에는 두 peak는 서로 근접되었다. 그리고 6월 26일 2시간마다 sweeping 법으로 채집한 D.auraria의 일주기활동도 비교연구하였는데 거의 같은 현상을 나타냈다.

• Journal of information and communication convergence engineering
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• v.20 no.3
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• pp.174-180
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• 2022

Emotion recognition is an essential component of complete interaction between human and machine. The issues related to emotion recognition are a result of the different types of emotions expressed in several forms such as visual, sound, and physiological signal. Recent advancements in the field show that combined modalities, such as visual, voice and electroencephalography signals, lead to better result compared to the use of single modalities separately. Previous studies have explored the use of multiple modalities for accurate predictions of emotion; however the number of studies regarding real-time implementation is limited because of the difficulty in simultaneously implementing multiple modalities of emotion recognition. In this study, we proposed an emotion recognition system for real-time emotion recognition implementation. Our model was built with a multithreading block that enables the implementation of each modality using separate threads for continuous synchronization. First, we separately achieved emotion recognition for each modality before enabling the use of the multithreaded system. To verify the correctness of the results, we compared the performance accuracy of unimodal and multimodal emotion recognitions in real-time. The experimental results showed real-time user emotion recognition of the proposed model. In addition, the effectiveness of the multimodalities for emotion recognition was observed. Our multimodal model was able to obtain an accuracy of 80.1% as compared to the unimodality, which obtained accuracies of 70.9, 54.3, and 63.1%.