• The Korean Journal of Ecology
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• v.13 no.3
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• pp.203-214
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• 1990

The work reported here aims to assess how Knots, Calidris canutus, accumulate rapidly large energy and nutrient reserve at Red Car in England. Most of Knots in England belong to long billed, long winged population compare with subspecies in Korea. The rate of prey intake of Knot increases as a nearest neighbour distance decreases. Foraging rate and vigilance rate increases as flock size decreases. The calorific value of each sized of Common Mussel Mytilus edulis, main food species of Knot, are almost same each other but the calorific content of each size Mussels are quite different each other. The rate of daily energy intake of Knots have been estimated from 192 kcal to 270 kcal.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.569-570
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• 2007

본 논문에서는 대장균 먹이찾기(E. Coli Bacterial Foraging)를 최적화 기법에 도입한 사례로서 이를 이용하여 Nonconvex 배전용 경제급전 알고리즘(distribution economic dispatch: DED을 제안한다. 제안된 DED 알고리즘은 향후 지역이나 구역 발전사업자를 중심으로 배전계통운용시스템에 필요한 경제급전 알고리즘으로 활용 할 수 있다.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.3
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• pp.392-400
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• 2008

This paper proposes a novel optimization algorithm inspired by bacteria behavior patterns for foraging. Most bacteria can trace attractant chemical molecules for foraging. This tracing capability of bacteria called chemotaxis might be optimized for foraging because it has been evolved for few millenniums. From this observation, we developed a new optimization algorithm based on the chemotaxis of bacteria in this paper. We first define behavior and decision rules based on the behavior patterns of bacteria and then devise an optimization algorithm with these behavior and decision rules. Generally bacteria have a quorum sensing mechanism that makes it possible to effectively forage, but we leave its implementation as a further work for simplicity. Thereby, we call our algorithm a simple bacteria cooperative optimization (BCO) algorithm. Our simple BCO is tested with four function optimization problems on various' parameters of the algorithm. It was found from experiments that the simple BCO can be a good framework for optimization.

• ETRI Journal
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• v.40 no.6
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• pp.726-735
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• 2018

Femtocells are good examples of the ultimate networking technology, offering enhanced indoor coverage and higher data rate. However, the dense deployment of femto base stations (FBSs) and the exploitation of subcarrier reuse between macrocell base stations and FBSs result in significant co-tier and cross-tier interference, thus degrading system performance. Therefore, appropriate resource allocations are required to mitigate the interference. This paper proposes a discrete bacterial foraging optimization (DBFO) algorithm to find the optimal resource allocation in two-tier networks. The simulation results showed that DBFO outperforms the random-resource allocation and discrete particle swarm optimization (DPSO) considering the small number of steps taken by particles and bacteria.

• Proceedings of the Korean Society of Life Science Conference
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• 2005.09a
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• pp.112-112
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• 2005

• Journal of Ecology and Environment
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• v.38 no.3
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• pp.367-374
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• 2015

The aim of this study was to assess the occurrence and foraging of social and other wasps and bees in Jirisan National Park (JNP, South Korea), in particular in an apiary. Sixty one traps were placed in the southwestern part of JNP to identify social wasps from July to September 2014, and the damage to the apiary caused by wasps or bees was observed once a month from May to December 2014 between 10 a.m. and 5 p.m. In total, 10 species of Vespidae were collected by trapping. Vespa crabro was the most abundant (245 individuals, 28.3%), followed by Vespa velutina (162 individuals, 18.7%). In the apiary, however, V. velutina was the most frequent species. V. velutina visited a maximum of 167 times a day in September, which corresponded to one visit in 2.5 min. Accordingly, these data are in line with the most serious impact of V. velutina on the apiaries in South Korea. V. simillima was the second most frequent species; both Vespa species hawked honeybees. Even though the occurrence of V. mandarinia was low, this species caused serious damage by mass slaughter of honeybees. The occurrence of V. crabro, V. analis and V. ducalis was quite low and their impact on honeybees was negligible. There have been few reports of V. dybowskii foraging for honeybees, but they are considered to be a new pest because their impact on apiaries is considerable. Most Vespa species attacked the apiary from June to October, with a maximum in September. However, V. velutina visited until November to early December. Vespula species are not more serious pests than Vespa species, but many adults were observed stealing honey from beehives. Polistes, Orancistrocerus, and Bombus species had no impact on honeybee colonies in the apiary.

• Korean journal of applied entomology
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• v.46 no.2
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• pp.287-293
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• 2007

The pollinating activity of bumblebee, Bombus ignitus was investigated at the blossom of Peach [Prunus persica (L.) Batsch] planted in vinyl house. The major time of foraging activity by B. ignitus was between 08:00 and 7:00, and the peak time of pollinating activity by B. ignitus was 11 :00 in the peach vinyl house from February 28 to March 5 in 2002. The rate of fruit set and the rate of marketable fruit by foraging activity of B. ignitus were much better than artificial pollination, and the effect of labor reduction by the pollinating activities of B. ignitus released against th ε artificial pollination was took remarkable profits over 93%. Therefore, the foraging activity of B. ignitus in peach vinyl house brought satisfactory results among the rate of fruit set, the rate of marketable fruit and the effect of labor reduction against the artificial pollination.

• Journal of Ecology and Environment
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• v.44 no.1
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• pp.26-32
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• 2020

Background: Pollen is an important source of protein and lipids for many animals including honey bees. In order to understand the foraging behaviour of honey bee colonies and preference among the available floral resources, pollen collections from three experimental healthy colonies of honey bees were analysed in the month of June. Results: The amount of pollen collections were related to the colony's need which was indicated by the number of larval and adult bees present in the hive. Interesting was the sequence of pollen collection from different floral sources. All honey bee colonies collected pollens from Trifolium repens first, then Erigeron annus and the third choice was Coreopsis drummondii and Oenothera biennis flowers. Total protein content of Trifolium pollen was the highest (20.0 g/100 g DM), and the others were in the range of 8.9-11.4 g/100 g DM. Conclusion: The results indicated that the first criteria for honey bee foraging preference of pollens would be the nutritional contents of protein and the resource availability of the lesser nutritious floral sources. This information can help pollinator protection programmes of habitat manipulation using flowering plants for nectar and pollen sources.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.15 no.6
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• pp.43-52
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• 2012

For this paper, a study targeting 9 forest patches in Dangjin to suggest for the wild birds, was conducted. The correlation between the emergence of wild birds and the forest vegetation was analyzed, and the patterns of forest vegetation for the improvement of species diversity were suggested by classifying wild birds and foraging guild by the type of forest vegetation. As for the characteristics of the wild birds emerged, more species and bigger population appeared in the vegetation type of mixed stand forest where the natural deciduous broadleaf trees and evergreen needleleaf trees coexisted in the large scale vegetation area. Thus, it was known that the advent of summer migratory birds and resident birds were affected the most by forest patches and vegetation types. As for foraging guild, the larger the forest paches the more the species and the population of the wild birds inhabiting in shrubs and bushes.

• Journal of Electrical Engineering and Technology
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• v.10 no.3
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• pp.944-951
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• 2015

Pulse Width Modulation (PWM) techniques are increasingly employed for PWM inverter fed induction motor drive. Among various popular PWM methods used, Selective Harmonic Elimination PWM (SHEPWM) has been widely accepted for its better harmonic elimination capability. In addition, using SHEPWM, it is also possible to maintain better voltage regulation. Hence, in this paper, an attempt has been made to apply Bacterial Foraging Algorithm (BFA) for solving selective harmonic elimination problem. The problem of voltage harmonic elimination together with output voltage regulation is drafted as an optimization task and the solution is sought through proposed method. For performance comparison of BFA, the results obtained are compared with other techniques such as derivative based Newton-Raphson method, and Genetic Algorithm. From the comparison, it can be observed that BFA based approach yields better results. Further, it provides superior convergence, reduced computational burden, and guaranteed global optima. The simulation results are validated through experimental findings.