• Korean Journal of Plant Resources
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• v.14 no.3
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• pp.235-240
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• 2001

Polymerase chain reaction (PCR) is used in a wide array of researches in plant molecular genetics and breeding. However, considerable time and cost are still required for the preparation of DNA suitable for reliable PCR results, especially in plant species containing high amounts of polyphenols. To reduce time and effort for PCR-based analysis, a simplified but reliable method was developed by a combinational employment of a simple and fast DNA extraction procedure and BLOTTO (Bovine Lacto Transfer Technique Optimizer) in reaction mixture. Genomic DNAs prepared by one-step extraction method from recalcitrant plant species such as Rubus coreanus, apple, grape and lettuce were successfully amplified by random primers in the reaction mixture containing 2 to 4% BLOTTO. Successful amplification of ${\gamma}$-TMT transgene in lettuce transformants by the specific primers was also achieved in the same condition, making rapid screening of positive transformants possible. Our results suggest that use of a simple DNA extraction procedure and incorporation of BLOTTO in reaction mixture in combination can reduce time and effort required for the analyses of a large number of germplasms and transformants by PCR-based techniques.

• Journal of the military operations research society of Korea
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• v.31 no.1
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• pp.107-121
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• 2005

In this study, a new fictitious play (FP) procedure is presented to solve two-person zero-sum (TPZS) Blotto games. The FP solution procedure solves TPZS games by assuming that the two players take turns selecting optimal responses to the opponent's strategy observed so far. It is known that FP converges to an optimal solution, and it may be the only realistic approach to solve large games. The algorithm uses dynamic programming (DP) to solve FP subproblems. Efficiency is obtained by limiting the growth of the DP state space. Blotto games are frequently used to solve simple missile defense problems. While it may be unlikely that the models presented in this paper can be used directly to solve realistic offense and defense problems, it is hoped that they will provide insight into the basic structure of optimal and near-optimal solutions to these important, large games, and provide a foundation for solution of more realistic, and more complex, problem

• Korean Journal of Medicinal Crop Science
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• v.10 no.5
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• pp.384-391
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• 2002

To analyze the genetic relationships among 23 accessions of Asparagus cochinensis $L_{OUR}$, random amplified polymorphic DNA(RAPD) analysis was performed using artificially synthesized 10 primers. The range of polymorphism was $42.9{\sim}91.7%$ with an average of 72.9% in 85 randomly and specifically amplified DNA fragments. On the. basis of similarity coefficient analysis by unweighed pairgroup method, arithmetic average method(UPGMA), 23 accessions of Asparagus cochinensis $L_{OUR}$ could be classified into 6 groups at the similarity coefficient value of 0.82. Group I contained 5 accessions, Group II contained 6 accessions, Group III contained 6 accessions, GroupIV contained 2 accessions, Group V contained 2 accessions and Group VI contained 2 accessions. The range of total genetic similarity coefficient value of 23 accessions of Asparagus cochinchinensis $L_{OUR}$ was $0.47{\sim}0.92$ and average value was 0.76. To obtain more exact data from PCR, we also tried to develope enhanced RAPD techniques using Bovine Lacto Transfer Technique Optimizer(BLOTTO). In RAPD analysis of Asparagus cochinensis $L_{OUR}$, we could obtain better RAPD results by adding BLOTTO at a final concentration of 1%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.4177-4190
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• 2015

Current research on Internet of Things (IoT) has primarily addressed the means to enhancing smart resource allocation, automatic network operation, and secure service provisioning. In particular, providing satisfactory security service in IoT systems is indispensable to its mission critical applications. However, limited resources prevent full security coverage at all times. Therefore, these limited resources must be deployed intelligently by considering differences in priorities of targets that require security coverage. In this study, we have developed a new application of Cognitive Radio (CR) technology for IoT systems and provide an appropriate security solution that will enable IoT to be more affordable and applicable than it is currently. To resolve the security-related resource allocation problem, game theory is a suitable and effective tool. Based on the Blotto game model, we propose a new strategic power allocation scheme to ensure secure CR communications. A simulation shows that our proposed scheme can effectively respond to current system conditions and perform more effectively than other existing schemes in dynamically changeable IoT environments.

• BMB Reports
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• v.33 no.6
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• pp.537-540
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• 2000

A simplified but reliable method was developed for the polymerase chain reaction (PCR)-based detection of genetically modified (GM) plants. The modified CTAB (mCTAB) method enabled us to prepare a high quality of genomic DNA from several hundred plant leaf samples in one day. Using DNA samples prepared from seven dicots and two monocots, approximately 1.75-kb regions spanning 17 S to 25 S ribosomal RNA genes were successfully amplified in a 2X PCR pre-mix containing BLOTTO. Further fidelity assessment of the mCTAB method by PCR analysis with Roundup Ready soybean (RRS) and non-RRS plants showed that the DNA samples prepared alternately from each of two lines were evidently free of cross-contamination. These results demonstrate that the mCTAB method is highly recommended for the rapid detection of transgenes in large numbers of leaf samples from diverse transgenic plants.