• 전기학회논문지
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• 제58권9호
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• pp.1658-1666
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• 2009

This paper proposes an approach of Mult_HPSO based on the PC cluster system to reduce or remove the stagnation on an early convergence effect of PSO, reduce an execution time and improve a search ability on an optimal solution. Hybrid PSO(HPSO) is combines the PSO(Particle Swarm Optimization) with the mutation of conventional GA(Genetic Algorithm). The conventional PSO has operated a search process in a single swarm. However, Multi_PSO operates a search process through multiple swarms, which increments diversity of expected solutions and reduces the execution time. Multiple Swarms are composed of unsynchronized PC clusters. We apply to SCED(security constrained economic dispatch) problem, a nonlinear optimization problem, which considers line flow constraints and N-1 line contingency constraints. To consider N-1 line contingency in power system, we have chosen critical line contingency through a process of Screening and Selection based on PI(performace Index). We have applied to IEEE 118 bus system for verifying a usefulness of the proposed approaches.

• 한국작물학회지
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• 제21권1호
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• pp.52-56
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• 1976

한국의 주요품종들이 가지고 있는 엽초자색의 발현에 관여하는 보족유전자 C 및 A유전자의 분포를 조사하기 위하여 한국의 현재 및 과거장려품종과 약간의 도입품종 합계 60품종을 네가지 검정종(0군=Furisaka＃5, C군=T(N)1, A군=7089 및 CP-SLO, CA군=BPI-76)과 교배하여 그 F$_1$의 발색을 조사하였다. 그 결과를 요약하면 다음과 같다. 1. 현장려품종들은 C 및 A검정종에 모두 반응이 없는 O군과 C검정종에만 반응하는 A군으로 분명히 나눌 수 있었다. Japonica 모본으로 육성된 품종들은 전자에, Indica모본으로 육성된 품종들은 후자에 속한다. 2. 과거장려품종들은 대부분이 O군에 속하며 A검정종에 대하여 반응을 나타내는 C군품종이 극소수있었고(수원118호, 수원8002) A품종군에 속하는 것은 없었다. 3. 일본에서 도입된 품종들도 대체로 한국에서 육성된 품종들과 같이 대부분이 O군에 속하여 극소수의 C군품종이 있었을 뿐 A군품종은 없었다. 4. 과거의 찰품종도 메품종과 같이 대부분이 O군에, 그리고 극소수가 C군에 속하며 A군품종은 없었다.

• Weed & Turfgrass Science
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• 제5권4호
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• pp.274-279
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• 2016

Aphanisticus congener is a newly recorded buprestid (Coleoptera) insect pest of turfgrass in Korea. This buprestid pest was initially found from turfgrass conservation site in a greenhouse in Jinju, Gyeongnam province, Korea in July, 2014. The Aphanisticus in the family Buprestidae is a leaf miner. A. congener is the close species of A. aeneus which was firstly reported as sugarcane leaf sucker in India. A. congener was active from early July to late August in the greenhouse. Damage by the insect led to drying out and browning of turfgrass leaf because larva fed on cell sap of leaves and adult fed on leaf surface. A. congener damaged Zoysia japonica, Z. sinica, Conodon dactylon, and Poa pratensis when adults were artificially released into potted turfgrasses in the laboratory. In green house, A. congener damaged Z. japonica, Z. macrostachya, Z. matrella, Z. sinica, Conodon dactylon, and hybrid zoysiagrass. However, no damage symptoms were observed from the same turfgrass accessions in the nearby field of the greenhouse. Thus, the new coleopteran pest may be a warm-adapted pest for turfgrass, damaging turfgrass leaf only in warmer conditions.

• 한국산업융합학회 논문집
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• 제22권6호
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• pp.757-765
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• 2019

In manufacturing An offshore plant is a structure that produces resources buried in the seabed. It can be classified into fixed, floating, and hybrid methods depending on the installation method. In particular, the Lattice boom type crane is typically used because it is used for a long time in the sea and moves to other seas, which is less affected by wind. In this study, the crane was designed by using three-step optimization design in the early stage of the design of Lattice boom crane for offshore plant. Finite element analysis was performed to verify the safety factor, deflection, buckling coefficient and fatigue life of the designed crane and the results were verified.

• Computers and Concrete
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• 제21권6호
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• pp.697-703
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• 2018

Compressive strength is one of the most important engineering properties of concrete, and testing of the compressive strength of concrete specimens is often costly and time consuming. In order to provide the time for concrete form removal, re-shoring to slab, project scheduling and quality control, it is necessary to predict the concrete strength based upon the early strength data. However, concrete compressive strength is affected by many factors, such as quality of raw materials, water cement ratio, ratio of fine aggregate to coarse aggregate, age of concrete, compaction of concrete, temperature, relative humidity and curing of concrete. The concrete compressive strength is a quite nonlinear function that changes depend on the materials used in the concrete and the time. This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of concrete compressive strength. The training of fuzzy system was performed by a hybrid method of gradient descent method and least squares algorithm, and the subtractive clustering algorithm (SCA) was utilized for optimizing the number of fuzzy rules. Experimental data on concrete compressive strength in the literature were used to validate and evaluate the performance of the proposed ANFIS model. Further, predictions from three models (the back propagation neural network model, the statistics model, and the ANFIS model) were compared with the experimental data. The results show that the proposed ANFIS model is a feasible, efficient, and accurate tool for predicting the concrete compressive strength.

• Nuclear Engineering and Technology
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• 제50권7호
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• pp.1006-1016
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• 2018

Since the early forties, researchers from around the world have been studying the phenomenon of deadtime in radiation detectors. Many have attempted to develop models to represent this phenomenon. Two highly idealized models; paralyzable and non-paralyzable are commonly used by most individuals involved in radiation measurements. Most put little thought about the operating conditions and applicability of these ideal models for their experimental conditions. So far, there is no general agreement on the applicability of any given model for a specific detector under specific operating conditions, let alone a universal model for all detectors and all operating conditions. Further the related problem of pile-up is often confused with the deadtime phenomenon. Much work, is needed to devise a generalized and practical solution to these related problems. Many methods have been developed to measure and compensate for the detector deadtime count loss, and many researchers have addressed deadtime and pulse pile-up. The goal of this article is to summarize the state of science of deadtime; measurement and compensation techniques as proposed by some of the most significant work on these topics and to review the deadtime correction models applicable to present day radiation detection systems.

• Clinical and Experimental Pediatrics
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• 제65권2호
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• pp.73-80
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• 2022

A mercury sphygmomanometer (MS) has been the gold standard for pediatric blood pressure (BP) measurements, and diagnosing hypertension is critical. However, because of environmental issues, other alternatives are needed. Noninvasive BP measurement devices are largely divided into auscultatory and oscillometric types. The aneroid sphygmomanometer, the currently used auscultatory method, is inferior to MS in terms of limitations such as validation and regular calibration and difficult to apply to infants, in whom Korotkoff sounds are not audible. The oscillometric method uses an automatic device that eliminates errors caused by human observers and has the advantage of being easy to use; however, owing to its measurement accuracy issues, the development of an international validation protocol for children is important. The hybrid method, which combines the auscultatory and electronic methods, solves some of these problems by eliminating the observer bias of terminal digit preference while maintaining measurement accuracy; however, the auscultatory method remains limited. As the age-related characteristics of the pediatric group are heterogeneous, it is necessary to reconsider the appropriate BP measurement method suitable for this indication. In addition, the mobile application-based BP measurement market is growing rapidly with the development of smartphone applications. Although more research is still needed on their accuracy, many experts expect that mobile application-based BP measurement will effectively reduce medical costs due to increased ease of access and early BP management.

• 한국수소및신에너지학회논문집
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• 제34권1호
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• pp.38-46
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• 2023

Carbon neutrality policies have been strengthened to reduce emissions, and the importance of technology road maps has been emphasized. In the global industrial boiler market, carbon neutrality is implemented through fuel diversification of methane-hydrogen mixture gas. However, various problems such as flashback and flame unstability arise. There is a limit to implementing the actual system as it remains in the early stage. Therefore, it is necessary to secure the source technology of methane-hydrogen hybrid combustion system applicable to industrial fields. In this study, control program for methane-hydrogen fuel conversion was developed to expect various parameters. After determining the hydrogen mixing ratio and the input air flow, the fuel conversion control algorithm was constructed to get the parameters that achieve the target oxygen concentration in the exhaust gas. LabVIEW program was used to derive correlations among hydrogen mixing rate, oxygen concentration in exhaust gas, input amount of air and heating value.

• Smart Structures and Systems
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• 제32권3호
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• pp.179-193
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• 2023

This study explores an alternative to the existing centralized process for data anomaly detection in modern Internet of Things (IoT)-based structural health monitoring (SHM) systems. An edge intelligence framework is proposed for the early detection and classification of various data anomalies facilitating quality enhancement of acquired data before transmitting to a central system. State-of-the-art deep neural network pruning techniques are investigated and compared aiming to significantly reduce the network size so that it can run efficiently on resource-constrained edge devices such as wireless smart sensors. Further, depthwise separable convolution (DSC) is invoked, the integration of which with advanced structural pruning methods exhibited superior compression capability. Last but not least, quantization-aware training (QAT) is adopted for faster processing and lower memory and power consumption. The proposed edge intelligence framework will eventually lead to reduced network overload and latency. This will enable intelligent self-adaptation strategies to be employed to timely deal with a faulty sensor, minimizing the wasteful use of power, memory, and other resources in wireless smart sensors, increasing efficiency, and reducing maintenance costs for modern smart SHM systems. This study presents a theoretical foundation for the proposed framework, the validation of which through actual field trials is a scope for future work.

• 한국초지조사료학회지
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• 제35권1호
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• pp.17-25
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• 2015

본 시험은 사료용 수수${\times}$수단그라스 교잡종의 파종방법 및 제초제 종류에 따른 약해 및 생산성을 비교하여 안전 재배기술을 개발하고자 국립축산과학원 초지사료과 시험포장에서 수행하였다. 제초제 종류별 수수${\times}$수단그라스 교잡종의 in vitro 조건에서 발아율 분석결과 control > simazine > methaventhiazuron > alachlor 순으로 나타났으며 alachlor 처리시 shoot의 길이는 1~1.3 cm 범위로 무처리 4.37 cm와 비교했을 때 약 1/4배 정도로 짧은 것으로 나타났으며 root는 발생되지 않은 것으로 보아 alachlor는 shoot 보다 root에 약해를 더 심하게 주는 것을 확인할 수 있었다. 포장시험에서 제초제 종류에 따른 약해는 in vitro 시험과 마찬가지로 alachlor에서 가장 심하게 나타났으며 파종방법에서는 조파가 약해를 더 적게 받는 것으로 나타났다. 잔주수의 경우 alachlor와 simazine + alachlor에서 적었으며 제초제 처리시 파종방법에 따라 조파의 경우보다 산파에서 alachlor와 simazine + alachlor 처리에 따른 잔주수 감소가 더 크게 나타났다. 건물수량의 경우 제초제 종류별로 보면 조파의 경우 simazine과 methabenzthiazuron에서 각각 무처리 대비 101%와 99%의 수량을 보였고 alachlor와 simazine + alachlor에서는 각각 무처리 대비 32%와 56%였다. 산파의 경우 simazine과 methabenzthiazuron에서 각각 무처리 대비 89%와 84%의 수량을 보였고 alachlor와 simazine + alachlor에서는 각각 무처리 대비 13%와 29%로 나타났으며, alachlor 보다 simazine과 methabenzthiazuron이 건물수량 감소가 적었으며 제초제 처리시 산파보다 조파가 alachlor에 대한 약해를 덜 받는 것으로 나타났다. TDN 수량 역시 건물수량과 비슷한 경향을 보였으며 alachlor와 simazine + alachlor 모두에서 TDN 수량이 가장 낮게 나왔으며 제초제 처리시 산파보다는 조파의 경우가 제초제 시용에 따른 수량감소가 적은 것으로 나타났다.