• Korean Journal of Veterinary Research
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• v.16 no.2
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• pp.165-171
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• 1976

Experimental approaches on the effectiveness of thimerosal to control growth of Nosema apis (Zander, 1909) were carried out in the rearing honey bees. The rearing honey bees were artificially infected with various levels of spore isolated from local honey bees. The results obtained were summarized as follows: 1. In the experiments of therapeutic chemicals for Nosema disease, 0.01% and 0.02% thimerosal of sucrose-honey mixture was the most effective agent but the each concentration of amprolium, furazolidone, hygiene, sulfadimethoxine and terramycin did not show the any effects 2. It showed very high therapeutic effectiveness (over than 90%) that the treatment of three times every other day after the treatment of three times consecutive every day with 0.01% thimerosal, or the treatment of three times consecutive every day with 0.02% thimerosal. 3. When 0.02% thimerosal was administered three times consecutive every day to honey bees at the 4th day before artificial inoculation of N. apis, it showed very high degree (100%) of prevalence control effectiveness, and it also showed high degree (over than 90%) in administration at the 7th day before, and over than 80% at the 10th day before. Then authors found that thimerosal has the prevalence control effectiveness as well as the treatment effectiveness. 4. In the rearing honey bee colony, 0.02% thimerosal showed the high degree (over than 80%) of therapeutic effectiveness with the various levels which contained from the light decree of infection to the severe degree of it.

• Journal of the Institute of Convergence Signal Processing
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• v.8 no.4
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• pp.272-278
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• 2007

In this paper, we present an automated API translator for embedded software development based on a model-driven approach. Since MDA(Model Driven Architecture) provides little support for the development of embedded software, we propose a new method which contains the MDA's advantage, automation of implement process, and can solve the problem of real-time overhead. First, we define 'generic APIs' which do not depend on any RTOS's but provide most of typical RTOS services. We can describe RTOS-related behaviors of target application using these generic APIs in a CIC(Common Intermediate Code). Then, we propose a transformation tool for translating a CIC using generic APIs into a C-code for specific RTOS. The proposed API translator converts them into C-code using XML transformation rule which is defined outside. It indicates that an API translator extends to other RTOS's by modifying or adding the transformation rule. From the experiment, we validate the proposed method.

• Korean Journal of Veterinary Service
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• v.37 no.2
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• pp.123-129
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• 2014

This research was performed in order to investigate the origin, standard compound, and structural and physical properties of honeybee venom which used as natural antibiotic ingredients to animal. We compared the nucleotide sequence of mitochondrial cytochrome c oxidase subunit 1 gene (COI) of honeybees were collected from Gangwon, Gyeonggi, Chungnam, Gyeongbuk, Gyeongnam province and Suwon. As major constituent of honeybee venom, melittin was assayed by liquid chromatography. X-ray, differential scanning calorimetry (DSC) and fourier transform infrared spectroscopy (FT-IR) were utilized to examine the structural and physical properties of honeybee venom. Based on the 627bp sequence of COI, Apis mellifera ligustica was determinated honeybees collected from all six regions. Melittin content varied from 50.7 to 68.6 and averaged 59.8%. According to XRD analysis, honeybee venom showed regular crystal structure peaks at $2{\Theta}=8.5^{\circ}$ and $21.5^{\circ}$. DSC showed that the maximum degration temperature of powder was around $230^{\circ}C$. Through FT-IR analysis, we could identify cross-linking by the presence of peptide peak at 1,500~1,600 $cm^{-1}$. In conclusion, the origin of honeybee venom was Apis mellifera ligustica and effective ingredient standards was melittin content varied from 50.7 to 68.6 as natural antibiotic ingredients.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.12B
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• pp.1112-1122
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• 2008

This paper reviews the Parlay X and proposes SIP multimedia session control mechanism which is able to be implemented over IMS using Extended Call Control APIs of Parlay X. Parlay X is one of the industrial standards of Open API in the telecommunication to open network resources and capabilities to third party service providers. In this paper, SIP session control mechanism is described by depicting call flows of basic and essential session handling methods including session initiation, transfer, restoration, and termination. We also show how easy Parlay X Extended Call Control APIs can be used for the purpose of complicated calls handling in the IT applications. To verify feasibility of the blended services based on convergence of telecommunication and internet with regard to performance, we accomplish experimental performance of Extended Call Control APIs from IT application through open service gateway. We show Open API could be applied to next generation network based on IMS without serious degradation of the network performance.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.6
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• pp.1235-1242
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• 2019

While several machine learning technique has been implemented for Android malware categorization, there is still difficulty in analyzing due to overfitting problem and including of un-executable code, etc. In this paper, we introduce our implemented tool to address these problems. Tool is consists of approximately 1,500 lines of Java code, and perform Flow analysis on set of APIs, or on control flow graph. Our tool groups all the API by its relationship and only perform analysis on actually executing code. Using our tool, we grouped 39032 APIs into 4972 groups, and 12123 groups with result of including class names. We collected 7,000 APKs from 7 families and evaluated our feature reduction technique, and we also reduced features again with selecting APIs that have frequency more than 20%. We finally reduced features to 263-numbers of feature for our collected APKs.

• Korean Journal of Veterinary Service
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• v.39 no.4
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• pp.253-258
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• 2016

This study was conducted to investigate the prevalence of honey bee (Apis mellifera) disease in Daejeon. From May to September in 2014, 63 samples were collected from 63 apiculture farms in the regions and reverse transcriptase-polymerase chain reaction (RT-PCR) and polymerase chain reaction (PCR) was conducted. A total of 11 infectious pathogens, including 6 virus, 2 bacteria, 2 fungi, and 1 parasite, were investigated in honeybee colonies suffering from symptom of sudden collapse, depopulation or paralysis. The infectious pathogens and infection rates among 63 honeybee colonies detected were as follows: sacbrood virus (12.7%), chronic bee paralysis virus (1.6%), stonebrood (11.1%), American foulbrood (19.0%), European foulbrood (6.3%), respectively. The result indicate that foul-brood was most prevalent disease in apiculture farms in Daejeon area.

• The Korean Journal of Food & Health Convergence
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• v.6 no.2
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• pp.17-21
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• 2020

The response of honeybee (Apis mellifera L.) pollination on canola yield with reference to most suitable number of bee hive need per unit area of crops in order to meet optimum pollination needs and better economic yields by comparing number of hives and yield components an experiment was conducted at Beekeeping and Hill Fruit Pests Research, Station Rawalpindi during 2017-18 in complete randomized block design with two sets of four treatments for comparison: 1 hive acre^-1, 2 hives acre^-1, 3 hives acre^-1 and 0 hive acre^-1. The hives were kept inside the experimental area. Parameters were assessed: pollination density, pollinator's diversity, agronomic and economic yield. In case of pollination density, the cumulative mean abundance bee species revealed that at 1200 hours, Apis mellifera was the most abundant and frequent visitor with a mean population of 8.69 bees/plant followed by A. dorsata (0.72), Syrphid fly (0.2) and other pollinators. Minimum bee population was observed during 1400 hours, mainly due to the closure of flowers and partially due to high temperature (>35℃). Pollinator diversity revealed that A. mellifera was the most dominant pollinator of Brassica crop with highest abundance (71%). A. dosata ranked 2^nd (16%) followed by A. florea (6%) respectively.

• Journal of Apiculture
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• v.33 no.4
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• pp.261-268
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• 2018

Queen honey bees (Apis cerana) can be reared artificially on demand by the use of grafting technique. The technique consists of grafting young worker larvae into queen cell cups and raising in a queenless strong colony. As the age of grafted larvae for queen rearing exhibited several aspects related to quality and reproductive potential of queen, this study were conducted to investigate the influence of age of grafted larva on morphological characteristics and lifespan of queen, and the growth of colony she headed. Our results demonstrated that queens reared from young worker larvae (i.e., less than 1-day old larvae) were significantly larger in size (i.e., body weight and thorax width) than that of queens reared from 2-day old worker larvae. Moreover, queens reared from younger worker larvae initiated egg-laying earlier, stored more spermatozoa in spermatheca and had a longer lifespan compared to queens raised from older worker larvae. We also found a significant positive effect of queen grafting age on the production of worker and drone brood, adult worker population in colonies headed by queens reared from younger larvae. These findings suggested that rearing queens from brood grafted at the earliest possible age could increase the reproductive potential of queen as well as fitness of colony she head.

• Journal of Apiculture
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• v.33 no.4
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• pp.251-260
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• 2018

Instrumental insemination of honey bee is an attractive alternative to natural mating in breeding program as it allows mating crosses between desirable queen and specific drone. However, nursery condition that the queen is kept before and after insemination is major factor affected to the performance of instrumentally inseminated queen. In this study, we evaluated the influences of three different nursery-conditions of push-in cages, mini nuclei and normal colonies on number of spermatozoa stored in the spermatheca, body weight, onset of ovipositon and performance of instrumentally inseminated Apis cerana queen. Our results demonstrated that instrumentally inseminated queens kept in mini nuclei and in normal hives showed no significant difference in queen's weight (159.8 and 166.2mg, respectively), number of spermatozoa in spermatheca ($2.02{\times}10^6$ and $2.76{\times}10^6$, respectively), proportion of queen supersedure (33.3 and 66.7% queen survival at 11 months after oviposition, respectively) and brood production, compared to naturally mated queens. In contrast, instrumentally inseminated queens kept in push-in cages showed significant difference of those above data in comparison to queens mated naturally. Our results suggested that instrumentally inseminated queens could be kept in mini nuclei containing about 1.000 attendant bees to have desirable performance of queen whereas the push-in method should be practiced for the purpose of using queen in the length of time less than 7 months.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.4
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• pp.785-796
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• 2012

In this paper, we propose an effective Behavior-based detection technique using the frequency of system calls to detect malicious code, when the number of training data is fewer than the number of properties on system calls. In this study, we collect the Native APIs which are Windows kernel data generated by running program code. Then we adopt the normalized freqeuncy of Native APIs as the basic properties. In addition, the basic properties are transformed to new properties by GLDA(Generalized Linear Discriminant Analysis) that is an effective method to discriminate between malicious code and normal code, although the number of training data is fewer than the number of properties. To detect the malicious code, kNN(k-Nearest Neighbor) classification, one of the bayesian classification technique, was used in this paper. We compared the proposed detection method with the other methods on collected Native APIs to verify efficiency of proposed method. It is presented that proposed detection method has a lower false positive rate than other methods on the threshold value when detection rate is 100%.