• Journal of Apiculture
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• v.34 no.1
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• pp.27-37
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• 2019

Rapid detection of Tropilaelaps, an external parasite of honeybees that lead to malformation of honeybee or colony collapse disorder, is becoming important. But it is very difficult to find with the naked eye of Tropilaelaps. In this study, we have developed a method to detect the specific gene of Tropilaelaps from the hive debris and to know the number of Tropilaelaps in the hive through Tropilaelaps-specific quantitative detection. Tropilaelaps-specific gene amplified in DNA extracted from hive debris by consecutive PCR (1st detection, 2nd nested PCR). It could detect 101 molecules level of Tropilaelaps-specific gene and confirm the amplification of the Tropilaelaps-specific gene. It was possible to accurately quantify the number of Tropilaelaps from the hive debris sample, which is difficult to discriminate the presence of Tropilaelaps visually, through Tropilaelaps-specific detection. Under the microscope, Tropilaelaps was collected and quantitative detection of Tropilaelaps-specific genes was performed. It was possible to quantify the number of Tropilaelaps present in the hive through the molecules of the quantified Tropilaelaps-specific genes. We suggest that hive debris can represent as a micro-environment to hive and show that it can be a simpler and more accurate sample than using a parasitic host honeybee. We expect that hive debris should facilitate the monitoring of Tropilaelaps in hive.

• Journal of Electrical Engineering and Technology
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• v.13 no.2
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• pp.998-1007
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• 2018

The advent of Wireless Sensor Networks (WSN) has led to their use in numerous applications. Sensors are autonomous in nature and are constrained by limited resources. Designing an autonomous topology with criteria for economic and energy conservation is considered a major goal in WSN. The proposed honey-hive clustering consumes minimum energy and resources with minimal transmission delay compared to the existing approaches. The honey-hive approach consists of two phases. The first phase is an Intra-Cluster Min-Max Discrepancy (ICMMD) analysis, which is based on the local honey-hive data gathering technique and the second phase is Inter-Cluster Frequency Matching (ICFM), which is based on the global optimal data aggregation. The proposed data aggregation mechanism increases the optimal connectivity range of the sensor node to a considerable degree for inter-cluster and intra-cluster coverage with an improved optimal energy conservation.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.1
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• pp.29-36
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• 2021

The amount of data generated has been growing exponentially, and the complexity of data has been increasing owing to the advancement of information technology (IT). Big data analysts and engineers have therefore been actively conducting research to minimize the analysis targets for faster processing and analysis of big data. Hadoop, which is widely used as a big data platform, provides various processing and analysis functions, including minimization of analysis targets through Hive, which is a subproject of Hadoop. However, Hive uses a vast amount of memory for data deduplication because it is implemented without considering the complexity of data. Therefore, an efficient algorithm has been proposed for data deduplication of complex structures. The performance evaluation results demonstrated that the proposed algorithm reduces the memory usage and data deduplication time by approximately 79% and 0.677%, respectively, compared to Hive. In the future, performance evaluation based on a large number of data nodes is required for a realistic verification of the proposed algorithm.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.5
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• pp.1131-1139
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• 2016

In the Hive file format, the sk(Security Key) cell provides access control to registry key. An attacker can figure out secret information on registry or change the security set-up if she could apply modified hive files on system. This paper presents various methods to change access control of registry key by modifying or replacing cell on hive file. We also discuss threats by access control modification and signs of attacks analysis by modified hive files.

• Korean Journal of Agricultural Science
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• v.37 no.1
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• pp.143-149
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• 2010

This study analyzed the income of large scale honey bee farming of Korea. Using a questionnaire, 44 large scale honey bee farming farmhouseholds were surveyed. The average hive sizes are 258. The results are as follows. First, gross receipts of bee farming farmhouseholds are 50,342 thousand won, and it's components are honey 71%, bee selling and/or lent 26%. Second, working expenses are 23,778 thousand won that is 47% of gross receipts. Feed costs are 38.2%, material costs are 23.9%, hired labor costs are 11.0%, moving costs are 10.1%. Finally, receipts per hive are 195.1 thousand won, working expenses per hive are 23,778 thousand won, so income per hive is 103.0 thousand won.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.255-257
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• 2015

시맨틱 웹 기술 분야에서는 데이터를 온톨로지 형태로 표현함으로써 데이터의 의미를 인간뿐만 아니라 컴퓨터와 같은 기계도 이해할 수 있도록 한다. 이러한 온톨로지 데이터의 크기가 지속적으로 증가함에 따라 대용량 온톨로지 데이터 처리에 대한 필요성이 증가하고 있다. 이에 따라 본 논문에서는 대용량 온톨로지 데이터를 저장하고 질의를 할 수 있는 Hive 기반의 시스템을 제안한다. 또한 Hive에서 제공하는 파티셔닝을 이용하여 온톨로지 데이터에 대한 쿼리 반응 속도의 성능 향상을 위한 테이블 설계를 제안한다. 본 논문에서 제안하는 시스템의 성능 평가를 위하여 쿼리에 대한 반응 속도 측정을 수행한다.

• The KIPS Transactions:PartB
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• v.14B no.5
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• pp.343-350
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• 2007

Virtual environment is an interactive multimedia space that allows users to experience realistic sensory feedbacks and interactions as they do in real world. There have been some work on the development of two-dimensional user interface for supporting interactions in a virtual environment. However, most of them were designed for specific virtual environments and hence could not be easily deployed to other virtual worlds. To address this problem, some frameworks were developed for building two-dimensional user interfaces for virtual environment, but they had limitations in usability or flexibility. In this paper, we present the HIVE framework, which is designed to help ease the development of two-dimensional user interface for the virtual environment while satisfying the requirements of both usability and flexibility. The HIVE framework utilizes XML and scripting capability, dynamic module loading, XML and script language for usability. It provides module reading, configuration, and event processing mechanism for flexibility. This paper first explains the HIVE framework and describes the applications developed for some virtual environments followed by discussing the future research directions.

• Journal of Apiculture
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• v.35 no.1
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• pp.9-19
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• 2020

The questionnaire survey for Apis cerana beekeepers and professionals on improved native bee hives was carried out and we compared the temperature, relative humidity(RH), and weight changes of 4 improved hives(Chungju, Miryang, Hanam, and Suwon) from May 1, 2019 to January 31, 2020. Beekeepers need vertical feeder, hive stand, entrance block, and separating panel as hive accessory devices. The average temperatures within brood area were kept constantly (31.3~35.1℃) and the low daily variances of temperature (≤1℃) in Chungju hive among tested hives were observed. The daily temperature variances in the separated space and on the top of winter cluster were not different among 4 hives. In correlation between the temperature of brood area and the number of combs, Chungju hive showed the highest correlation(80.4%) and between the temperature on top of winter clusters and outside temperature, 4 hives showed high positive correlation(76.8~87.1%). RH of brood area(45~60%) in all hives were kept relatively low and constant compared to the outside RH(60~85%). The stablest RH on the top of winter cluster was observed in Suwon hives (65~75%) The highest cumulative weight increase among hives and the high positive correlation(65~67%) between the change of cumulative hive weight and combs number of hives were shown in the Miryang and Chungju. Based on these results, A. cerana bees are able to manage constant temperature and RH within hives area for their colony life, which also effected by the types of hive.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.867-874
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• 2023

Recently, many problems are occurring in the bee ecosystem due to rapid climate change. The decline in the bee population and changes in the flowering period are having a huge impact on the harvest of bee-keepers. Since it is impossible to continuously observe the beehives in the hive with the naked eye, most people rely on knowledge based on experience about the state of the hive.Therefore, interest is focused on smart beekeeping incorporating IoT technology. In particular, with regard to swarming, which is one of the most important parts of beekeeping, we know empirically that the swarming time can be determined by the sound of the queen bee, but there is no way to systematically analyze this with data.You may think that it can be done by simply recording the sound of the queen bee and analyzing it, but it does not solve various problems such as various noise issues around the hive and the inability to continuously record.In this study, we developed a system that records queen bee sounds in a real-time cloud system and analyzes sound patterns.After receiving real-time analog sound from the hive through multiple channels and converting it to digital, a sound pattern that was continuously output in the queen bee sound frequency band was discovered. By accessing the cloud system, you can monitor sounds around the hive, temperature/humidity inside the hive, weight, and internal movement data.The system developed in this study made it possible to analyze the sound patterns of the queen bee and learn about the situation inside the hive. Through this, it will be possible to predict the swarming period of bees or provide information to control the swarming period.

• Convergence Security Journal
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• v.4 no.3
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• pp.57-82
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• 2004

The confluence of computers, communications, and databases is quickly creating a distributed database where many applications require real-time access to temporally consistent sensor data. We have developed an object-oriented real-time database system called BeeHive to provide a significant improvement in performance and functionality over conventional non-real-time database and object management systems. In this paper, the performance of two data-deadline cognizant scheduling policies EDDF and EDF-DC and the baseline EDF policy with/without admission control are evaluated through extensive experiments on BeeHive. The ranges where data-deadline cognizant scheduling policies are effective and where admission control plays a role are identified.