• Structural Engineering and Mechanics
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• 제67권3호
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• pp.245-254
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• 2018

In this paper, a Cloud Model based Fruit Fly Optimization Algorithm (CMFOA) is presented for structural damage identification, which is a global optimization algorithm inspired by the foraging behavior of fruit fly swarm. It is assumed that damage only leads to the decrease in elementary stiffness. The differences on time-domain structural acceleration data are used to construct the objective function, which transforms the damaged identification problem of a structure into an optimization problem. The effectiveness, efficiency and accuracy of the CMFOA are demonstrated by two different numerical simulation structures, including a simply supported beam and a cantilevered plate. Numerical results show that the CMFOA has a better capacity for structural damage identification than the basic Fruit Fly Optimization Algorithm (FOA) and the CMFOA is not sensitive to measurement noise.

• Structural Engineering and Mechanics
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• 제56권3호
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• pp.409-422
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• 2015

In this paper, the Multi-Swarm Fruit Fly Optimization Algorithm (MFOA) is presented for structural damage identification using the first several natural frequencies and mode shapes. We assume damage only leads to the decrease of element stiffness. The differences on natural frequencies and mode shapes of damaged and intact state of a structure are used to establish the objective function, which transforms a damage identification problem into an optimization problem. The effectiveness and accuracy of MFOA are demonstrated by three different structures. Numerical results show that the MFOA has a better capacity for structural damage identification than the original Fruit Fly Optimization Algorithm (FOA) does.

• International Journal of Industrial Entomology and Biomaterials
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• 제29권2호
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• pp.198-206
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• 2014

The olive fly Bactrocera oleae (Rossi) is the key pest for olive cultivation worldwide. Substantial effort has been invested in the development of the sterile insect technique (SIT) to control this pest. One of the limitations to develop SIT technology for olive fruit fly is the low ability of wild females to lay eggs in other medium than olive fruits, and their slow adaptation to oviposition in artificial substrates. In the present study, fruit grapes were used as an alternative egg collection medium to harvest eggs and young larvae from freshly colonized wild strains originating from France, Italy, Spain and Croatia. The larvae were allowed to develop into the fruits until the second instar, before they were extracted out and further reared on a standard artificial diet. Furthermore, F1 to F4 female flies were alternatively offered wax bottles to oviposit. Finally, the performance of hybrid strains created from crosses between wild and long colonised flies was assessed. The results showed that females of all 4 wild strains readily oviposited eggs in grapes and from the F2 generation onward, females from all strains were adapted to laying eggs in wax bottles. No difference was observed in eggs and pupae production among all strains tested. The findings are discussed for their implications on SIT application against olive fruit fly.

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2005년도 추계 학술발표논문집
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• pp.61-61
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• 2005

• 한국응용곤충학회지
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• 제57권3호
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• pp.185-190
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• 2018

외래 과실파리에 대한 모니터링은 검역에 필수적이다. 과실파리 유인물질을 왁스 재질로 제형화하여 비교적 장기간 모니터링 할 수 있는 기술이 금지급 과실파리 모니터링에 유효하였다. 본 연구는 이 왁스 제형의 유용성을 확장시키기 위해 금지급 과실파리가 자생하고 있는 태국 현지에 적용하였다. 포획된 개체들을 분자 동정한 결과 기존에 유인력이 입증된 오리엔탈과실파리(Bactrocera dorsalis)와 오이과실파리(Zeugodacus cucurbitae)는 물론이고 Zeugodacus caudata의 검역 과실파리가 유인된다는 것을 밝혔다.

• 제어로봇시스템학회논문지
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• 제22권3호
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• pp.199-203
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• 2016

A brain-computer interface or BCI provides an alternative method for acting on the world. Brain signals can be recorded from the electrical activity along the scalp using an electrode cap. By analyzing the EEG, it is possible to determine whether a person is thinking about his/her hand or foot movement and this information can be transferred to a machine and then translated into commands. However, we do not know which information relates to motor imagery and which channel is good for extracting features. A general approach is to use all electronic channels to analyze the EEG signals, but this causes many problems, such as overfitting and problems removing noisy and artificial signals. To overcome these problems, in this paper we used a new optimization method called the Fruit Fly optimization algorithm (FOA) to select the best channels and then combine them with CSP method to extract features to improve the classification accuracy by linear discriminant analysis. We also used particle swarm optimization (PSO) and a genetic algorithm (GA) to select the optimal EEG channel and compared the performance with that of the FOA algorithm. The results show that for some subjects, the FOA algorithm is a better method for selecting the optimal EEG channel in a short time.

• 한국농림기상학회지
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• 제9권4호
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• pp.217-227
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• 2007

서부양벚과실파리(Rhagolettis indifferens Curran)은 미국 북서부지역 및 California 북부에서 재배되는 단체리(Prunus avium)에 가장 큰 피해를 주는 해충이다. 체리의 수출을 위한 식물검역에서 Zero Tolerance의 규제를 받고 있는 이 해충의 방제를 위해 농가에서는 월동 후 우화 시점부터 지속적으로 약제를 살포하고 있으며, 살충제 처리의 적기를 예측할 수 있는 모형이 절실히 필요한 실정이다. 본 연구는 서부양벚과실파리를 대상으로 월동 후 성충의 우화 및 발생시기, 유충의 밀도변화, 번데기의 용화시기 및 밀도변화 등을 정량적으로 추적하여 개체군 밀도의 경시적 변동과 월동 후 우화시기를 예측하는 모형 검정의 기초자료로 사용코자 수행하였다. 이를 위하여 황색끈끈이트랩, 우화케이지, 용화트랩 등을 이용하여 실제 과원에서 각 태별 발생경과를 경시적으로 조사하였으며, 체리 과실이 달리는 시기부터 일정 간격으로 과실을 수거하여 시기별 과실 내부의 유충 수를 조사하였고, 실내에서 용화케이지를 이용하여 용화시기를 조사하였다. 그 결과 월동 성충의 우화는 5월 중순에 시작하여 6월 초순에 정점에 도달하였고, 6월 중순부터 7월 상순까지 과실 당 1마리 이상의 유충이 존재하였다. 7월 중순에 번데기의 수가 정점에 도달하였으며, 월동 중에 토양습도 등의 조건에 따른 번데기의 발육속도 및 생존율을 측정하기 위해 대량의 번데기를 확보하였다. 이 연구에서 얻어진 자료에서 나타난 과실파리의 월동 후 개체군 밀도변동과 용화시기를 Song et al.(2003)의 모형에서 예측한 결과와 비교한 결과 모형에 의해 예측된 발생일과 실측 발생일과는 1$\sim$2일 차이로 매우 정확하게 예측이 되었다. 이로 미루어 볼 때 본 연구에서 획득한 포장 실측자료는 누적 우화일, 유충의 발육단계, 산란일 등 다른 중요한 생물학적 사건을 예측하는 모형의 정확도 검정에도 잘 활용될 수 있을 것으로 생각된다.

• 한국응용곤충학회지
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• 제57권1호
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• pp.51-52
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• 2018

과실파리류는 국내 60종의 검역 해충 가운데 42종을 차지하고 있다. 이들 대부분은 자연계 산물인 methyl eugenol (ME) 또는 raspberry ketone에 특이적으로 유인된다. 이들 유인물질을 파라핀 왁스를 이용하여 제형화하였고, 이를 대만에서 야외 유인 효과를 검증하였다. 이들 왁스제형은 모두 델타트랩에 설치하고 8월 말경에 모니터링 한 결과 ME 왁스 제형은 오리엔탈과실파리(Bactrocera dorsalis)를 매일 60-80 마리 포획하였다. 반면에 Cuelure 왁스제형은 오이과실파리(Bactrocera cucurbitae)와 B. tau를 유인하였다. 이러한 결과는 본 왁스제형이 이들 검역 해충에 대한 국내 모니터링에 응용될 수 있다는 것을 제시하고 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권8호
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• pp.3534-3549
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• 2020

The traditional method of smoke image recognition has low accuracy. For this reason, we proposed an algorithm based on the good group of IMFOA which is GMFOA to optimize the parameters of SVM. Firstly, we divide the motion region by combining the three-frame difference algorithm and the ViBe algorithm. Then, we divide it into several parts and extract the histogram of oriented gradient and volume local binary patterns of each part. Finally, we use the GMFOA to optimize the parameters of SVM and multiple kernel learning algorithms to Classify smoke images. The experimental results show that the classification ability of our method is better than other methods, and it can better adapt to the complex environmental conditions.

• 한국초등과학교육학회지:초등과학교육
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• 제21권1호
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• pp.135-142
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• 2002

This paper aims to compare the effects of two teaching methods, the discovery-observational(DO) and the expository-observational(EO) instructions, on students learning interest in the life cycle of fruit fly. The subjects, 463 third-graders from two elementary schools in Changwon City, were divided into two groups, the DO group and the EO group. After the instruction on the life of the flies in two different teaching ways, a questionnaire with 13 items was devised regarding the students' interest, and the subjects were asked to respond to it. The results reveal that the general mean score of the DO group is higher than that of the EO group. Also, the DO group obtains the higher mean score in each item, except two items about knowledge learning. The differences of the mean scores of the two types, general as well as item-individual, between the two groups are statistically significant. This suggests that the class about the life cycle of living creatures easily getatable and observable, such as fruit flies, should be student-centered investigatory one, where students themselves collect them and observe the process of their growth and whole cycle.