• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.117-124
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• 2014

Cluttered background is a major obstacle in developing salient object detection and tracking system for mobile device captured natural scene video frames. In this paper we propose a context aware feature vector selection model to provide an efficient noise filtering by machine learning based classifiers. Since the context awareness for feature selection is achieved by searching nearest neighborhoods, known as NP hard problem, we apply a fast approximation method with complexity analysis in details. Separability enhancement in feature vector space by adding the context aware feature subsets is studied rigorously using principal component analysis (PCA). Overall performance enhancement is quantified by the statistical measures in terms of the various machine learning models including MLP, SVM, Naïve Bayesian, CART. Summary of computational costs and performance enhancement is also presented.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.81-88
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• 2008

In the game balancing. it is so difficult to choose suitable arms among various actions, or arms and to accurately calculate to which level we adjust the balance. The fuzzy method can be properly used in a particular environment which cannot be correctly processed in mathematics or in lessening the time-consuming problems during the accurate number crunching. Because a variety of actions, relations with opponents. previous battle experiences etc. are not easy to be reflected in every occasion, the fuzzy method could be useful in these cases. When the balancing is needed. the data which have been played to that Point are processed by the fuzzy function and calculated to adapt intensity to each action. The ability of characters is regulated in this process. To demonstrate the efficiency of this method. I would like to make clear the excellence of fuzzy method through the following five experiments; a case with invariable ability adjustment, a case adjusted by a randomly chosen action, a case with the strongest weapon selection. a case with the weakest weapon selection and a case with the fuzzy method application.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.10
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• pp.2403-2408
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• 2014

We designate multiple target areas for the advertisement disseminations in order to resolve the problem of advertisement transmission efficiency degradation due to overlapped device-to-device (D2D) transmissions and unnecessary advertisement transmissions. We here propose an efficient advertisement dissemination algorithm based on pre-selected target areas considering user density. In our proposed algorithm, relay nodes are gradually selected according to the locations of the target areas. We mathematically analyze D2D advertisement coverages of our proposed algorithm, and compare the various simulation results of the proposed algorithm with those of the conventional algorithm according to the several simulation scenarios via intensive simulations.

• Korean Journal of Food Science and Technology
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• v.34 no.3
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• pp.356-360
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• 2002

The honey samples harvested in 1996, 1997, and 1998 were used for calibration and validation. NIR spectra were obtained using NIR spectrometer and quartz glass device with gold coating diffuser. Multiple linear regression and partial least square were used for calibrations. The correlation coefficient (RSQ) and standard error of prediction (SEP) obtained for moisture were 0.997 and 0.1%, respectively. The RSQ and SEP for fructose and glucose were 0.926 and 0.951%, and the SEP were 0.54% and 0.52% respectively. The validation results for sucrose, maltose, HMF definition, and acidity of honey were considered to be sufficient for practical use RSQ and SEP for SCIR were 0.950 and $1.08%_{\circ}$, respectively. These results are indications of the rapid determination of purity of the honey through NIR analysis.

• Journal of the Korea Computer Industry Society
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• v.3 no.1
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• pp.77-84
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• 2002

An cluster system used consist of large number of running servers, one has the problem that does the low availability occured by the high chance of the server failures and it is difficult to provide occuring software aging. In this paper, running cluster web servers consists of n primary servers and k backup servers, based on the operational parameters such as number of running primary servers, number of backup severs, rejuvenation period, rejuvenation time, failure rate of sewers, repair rate of servers, unstable rate of servers. We calculate to evaluate the rejuvenation policy such steady-state probabilities, downtime, availability, and downtime cost. We validate the solutions of mathematical model by experiments based on various operation parameters and find that the software rejuvenation method can be adopted as prventive fault tolerant technique for stability of system. The failure rate and unstable rate of the servers are essential factors for decision making of the rejuvenation policies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.202-207
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• 2021

One of the most important tasks in image processing is noise filtering. Noise removal in image is a difficult task due to many reasons such as nonstationary sequences and corrupted by various types of noise. Human's visual perception is heavily based on the edge information. Thus, noise filtering must preserve edges. To remove the noise, we usually use the square-shaped median filter. They possess mathematical simplicity but have the disadvantages that blur the edges. In this paper we consider a new technique for image restoration using a weighted octagonal median filter. The technique consists of simple hypothesis test for edge detection, and we use the weighted octagonal-shaped moving window. The new technique is applied to noise corrupted image and experimental results are compared to the results of the square-shaped median filter and the cross-shaped median filter.

• The Journal of Bigdata
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• v.5 no.1
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• pp.11-27
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• 2020

In this paper, we developed a big data platform to store, process, and analyze effectively on such education longitudinal study data. And it was applied to the Seoul Education Longitudinal Study(SELS) to confirm its usefulness. The developed platform consists of data preprocessing unit and data analysis unit. The data preprocessing unit 1) masking, 2) converts each item into a factor 3) normalizes / creates dummy variables 4) data derivation, and 5) data warehousing. The data analysis unit consists of OLAP and data mining(DM). In the multidimensional analysis, OLAP is performed after selecting a measure and designing a schema. The DM process involves variable selection, research model selection, data modification, parameter tuning, model training, model evaluation, and interpretation of the results. The data warehouse created through the preprocessing process on this platform can be shared by various researchers, and the continuous accumulation of data sets makes further analysis easier for subsequent researchers. In addition, policy-makers can access the SELS data warehouse directly and analyze it online through multi-dimensional analysis, enabling scientific decision making. To prove the usefulness of the developed platform, SELS data was built on the platform and OLAP and DM were performed by selecting the mathematics academic achievement as a measure, and various factors affecting the measurements were analyzed using DM techniques. This enabled us to quickly and effectively derive implications for data-based education policies.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.2058-2062
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• 2009

1992년 한강수계법이 제정되면서 우리나라에 도입된 오염총량관리제는 현재 2차총량관리 시행계획수립 단계에 이르렀다. 오염총량제에서 수질모델은 수계구간별로 설정된 기준유량과 목표수질 조건을 달성하는 지를 판단할 수 있는 도구로 사용되며, 다양한 모델들이 사용되고 있다. 그 중 하천수질모형으로는 주로 QUAL2E, QUALKO, QUALKO2 모형으로 압축할 수 있다. QUAL2E 모형은 1980년대에 개발되어 국내외로 널리 이용하고 있으나 SOD를 0차나 일정량으로 처리하였고, 부착조류에 의한 용존산소 변화와 부유 조류 사멸시 발생하는 유기물이 고려되지 않았다. 또한 용존산소가 부족한 상태에서 반응이 활발한 탈질화과정이 포함되지 않아 이들 반응에 의해 수질이 영향을 받는 하천에 적용하기에는 한계가 있었다. 그리고 QUAL2E 모델은 여러 개의 지류를 가진 대형 하천에는 적용하기 어려운 단점이 있다. 국내에서는 1999년 QUAL2E 모델에 WASP5의 장점을 접목시켜 QUALKO 모델을 개발하였다. 이 모델은 QUAL2E에 부유성 조류의 사멸로 인한 유기물의 내부증가, 탈질화 반응 및 부착식물의 광합성 호흡 과정을 추가한 것이다. 또한 QUAL2E 모델에서 BOD는 CBOD로 입력되고 모의되므로 bottle BOD의 개념이 결여되어 있으므로 이러한 문제점을 보완하고, 조류의 생산 및 사멸에 의한 내부생산 유기물 증가와 탈질화 반응 과정을 추가한 것이다. 우리나라에서 진행되고 있는 총량관리 대상물질은 2010년까지는 $BOD_5$이며, 2011년부터는 일부 지역에 총인이 포함될 예정이다. 2007년에 실험실에서 측정하는 BOD5나 유기성 질소 또는 유기성 인을 그대로 입력하여 계산되고 출력할 수 있으며, 향후 오염총량제의 관리대상항목으로 논의되고 있는 TOC를 모의할 수 있는 QUALKO2가 개발되었다. 이에 본 연구에서는 향후 활용도가 클 것으로 기대되는 QUALKO2 모형에 기존 QUAL2E-UNCAS 모형에 서 수행할 수 있는 불확실성 해석 기법인 Monte Carlo 모의를 가능하도록 모형을 수정하고자 한다. 실제 하천에서의 수질해석에 대한 단순한 표현인 수학적 모형은 불확실성을 내포하고 있으며, Monte Carlo 해석을 사용하여 모형의 불확실도 정량화와 매개변수의 불확실성을 통계학적으로 기술할 수 있다. 또한 각 지점에 대한 계산결과치들에 대해 빈도 및 누가빈도분포 값을 제시함으로서 모형 예측치들의 전반적인 분포경향을 평가할 수 있으며, 하천수질에 대해서 환경기준치를 위배할 가능성을 산정하는데 활용할 수 있다. 우리나라 실정에 맞는 QUALKO2 모형에 Monte Carlo 모의를 통해 신뢰도 기반의 수질해석을 수행하게 된다면 수질정책의 기초자료 제공에 기여할 것으로 판단된다.

• Journal of Gifted/Talented Education
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• v.13 no.4
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• pp.65-94
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• 2003

The purpose of this study is to acquire the information on the current situation of students' selection process in order to renovate the system of picking up the students. As a first step of the study, we examined the validity of the factors of the single-out system such as qualification and the process for the application and the standards and proceeding of the selection. Then we analysed the result of the entrance examination of Hansung Science Highschool in 2002. The analysis was on the correlation between the result of entrance examination and the achievement in the school and the decision of the course after graduation. To know on the achievement of the students, we investigated the records of regular tests and asked the teachers' opinion in math and science classes. As a result, we gained the following points: First, the present single-out system has a danger of excluding students who are much talented in science and math field because it is based on students' achievements in middle schools; Second, the new selection system should consider the character and attitude of the applicants in addition to their knowledge; Third, the continuous observation of the teacher in middle school should be an important factor of the picking up system; Fourth, more questions requiring divergent thinking ability and inquiry skill should be developed as selective examination question. Also examination questions should cover the various contents from mathematics to science, and do not affect pre-learning; Finally, the system of present letting all students stand in one line should be changed into that of letting students in various lines. We can consider using multi-step selection system.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.5
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• pp.535-543
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• 2014

In the robust optimization field, the robustness of the objective function emphasizes an insensitive design. In general, the robustness of the objective function can be achieved by reducing the change of the objective function with respect to the variation of the design variables and parameters. However, in conventional methods, when an insensitive design is emphasized, the performance of the objective function can be deteriorated. Besides, if the numbers of the design variables are increased, the numerical cost is quite high in robust optimization for nonlinear programming problems. In this research, the robustness index for the objective function and a process of robust optimization are proposed. Moreover, a method using the supremum of linearized functions is also proposed to reduce the computational cost. Mathematical examples are solved for the verification of the proposed method and the results are compared with those from the conventional methods. The proposed approach improves the performance of the objective function and its efficiency.