• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1593-1601
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• 2017

In a big data platform, association rule mining applications could bring some benefits. For instance, in a agricultural big data platform, the association rule mining application could recommend specific products for farmers to grow, which could increase income. The key process of the association rule mining is the frequent itemsets mining, which finds sets of products accompanying together frequently. Former researches about this issue, e.g. Apriori, are not satisfying enough because huge possible sets can cause memory to be overloaded. In order to deal with it, SON algorithm has been proposed, which divides the considered set into many smaller ones and handles them sequently. But in a single machine, SON algorithm cause heavy time consuming. In this paper, we present a method to find association rules in our Hadoop based big data platform, by parallelling SON algorithm. The entire process of association rule mining including pre-processing, SON algorithm based frequent itemset mining, and association rule finding is implemented on Hadoop based big data platform. Through the experiment with real dataset, it is conformed that the proposed method outperforms a brute force method.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2013.10a
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• pp.837-837
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• 2013

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• v.10 no.1
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• pp.245-248
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• 2005

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.8
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• pp.1769-1776
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• 2013

In this paper, we proposed the modified YL(Yi and Loizou) algorithm, using a VAD(voice activity detector) for enhancing speech corrupted by colored noise. The performance of the proposed algorithm has been compared to the YL algorithm and LS(Lee and Son, etc.) algorithm by computer simulation. The colored noises used in the experiment were a car noise and multi-talker babble from the AURORA data base and the used voices from the TIMIT data base. It is confirmed that the proposed algorithm shows better performance from SNR(signal to noise ratio) and SSD(speech spectral distortion) viewpoint over the previous two approach.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06b
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• pp.493-496
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• 2010

본 논문은 평면 위의 점 집합에서 지배되지 않는 점 집합을 찾아내는 병렬 알고리즘을 제안한다. 우리는 먼저 기존의 지배되지 않는 점을 계산하는 문제가 SIMD형 병렬계산 장치인 GPU에서 병렬화가 가능하다는 사실을 보이고, 실제 GPU를 이용한 병렬 알고리즘을 설계 구현하였다. 또한 실험 결과 직렬 알고리즘에 비해 2배 이상의 성능 향상을 얻을 수 있었다.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.428-433
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• 2010

The notion "block rotation" denotes the operation of exchanging two consecutive sequences of elements uv to vu. There are three already well-known block rotation algorithms called BlockRotation, Juggling and Reversal algorithm. Recently we presented a novel block rotation algorithm called QuickRotation. In this paper we compare QuickRotation to these three known block rotation algorithms. This comparison covers a complexity analysis as well as benchmarking and shows that a switch to QuickRotation is almost always advantageous.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.619-620
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• 2015

본 논문은 독립형 마이크로그리드 환경에서의 신재생에너지원의 출력 안정화 및 디젤발전기의 최소 사용을 통한 경제적인 운영을 위해 필요한 ESS(Energy Storage System)의 도입을 위한 용량 산정 및 SOC에 따른 충/방전 알고리즘을 제안한다. 제안한 산정 알고리즘을 통해 도서지역의 독립형 마이크로그리드의 데이터를 활용하여 ESS 용량을 산정하고, 이에 대한 효과를 검증한다.

• Journal of the Korea Computer Industry Society
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• v.5 no.9
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• pp.1079-1088
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• 2004

Generally, the code motion algorithm accomplishes the run-time optimal connected with the computational optimifation and the register overhead This paper proposes a sparse code motion, which considers the code size, in addition to computational optimization and lifetime optimization. The BCM algorithm carries out the optimal code motion computationally and the LCM algorithm reduces the register overhead in a sparse code motion algorithm. A sparse code motion algorithm is optimum algorithm computationally and lifetime because of suppression unnecessary code motion This algorithm improves runtime and efficiency of the program than the previous work through the performance test.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.185-188
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• 2009

In this paper, Position Controller for balance of Seesaw System design using PID Algorithm. Seesaw System is that it's system use widely to analyze of ship or flight dynamics, Inverted Pendulumand, Robot System, manage system for theory of modern control system and all sorts of analysis. In case of Seesaw System, it's necessity that understand and analysis of system and correct selection of parameter because the system is strong nonlinear control system. It guarantees efficiency and stability to adapt quickly for disturbance or change of controller from PID Algorithm of guarantee safe from simple and long history and PSO(Particle Swarm Optimization) that sort of metaheuristic optimization that need to accuracy and fast PID parameter tuning.

• Proceedings of the KOR-KST Conference
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• 2007.11a
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• pp.843-851
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• 2007