• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.4
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• pp.567-574
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• 2006

This paper focuses on lossy medical image compression methods for medical images that operate on three-dimensional(3-D) irreversible integer wavelet transform. We offer an application of unbalanced tree structure algorithm to medical images, using a 3-D unbalanced wavelet decomposition and a 3-D unbalanced spatial dependence tree. The wavelet decomposition is accomplished with integer wavelet filters implemented with the lifting method. We have tested our encoder on volumetric medical images using different integer filters and 16 coding unit size. The coding unit sizes of 16 slices save considerable dynamic memory(RAM) and coding delay from full sequence coding units used in previous works. If we allow the formation of trees of different lengths, then we can accomodate more transaxial scales than three. Then the encoder and decoder can then keep track of the length of the tree in which each pixel resides through the sequence of decompositions. Results show that, even with these small coding units, our algorithm with I(5,3)filter performs as well and better in lossy coding than previous coding systems using 3-D integer unbalanced wavelet transforms on volumetric medical images.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.12A
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• pp.1205-1213
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• 2006

In this paper, we analyze the IQ(In-phase/Quadrature) imbalance effects at both transmitter and receiver side of OFDM(Orthogonal Frequency Division Multiplexing) and show that IQ imbalance is the parameter to improve the performance using ML and OSIC scheme. Especially, we can archive the diversity gain due to the IQ imbalance in multipath fading environment. In addition, new preamble format is proposed, which enable estimation of the channel and IQ imbalance parameters to maximize the diversity gain. Significant performance improvement is achieved by using the ML(Maximum Likelihood)and OSIC(Ordered Successive Interference Cancellation) with compensation compared to a standard receiver with no compensation for IQ imbalance and proposed channel estimation scheme achieves the better performance improvement than conventional.

• Journal of Intelligence and Information Systems
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• v.14 no.3
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• pp.133-154
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• 2008

The data imbalance problem which can be uncounted in data mining classification problems typically means that there are more or less instances in a class than those in other classes. In order to solve the data imbalance problem, there has been proposed a number of techniques based on re-sampling with replacement, adjusting decision thresholds, and adjusting the cost of the different classes. In this paper, we study the feasibility of the combination usage of the techniques previously proposed to deal with the data imbalance problem, and suggest a combination method using genetic algorithm to find the optimal combination ratio of the techniques. To improve the prediction accuracy of a minority class, we determine the combination ratio based on the F-value of the minority class as the fitness function of genetic algorithm. To compare the performance with those of single techniques and the matrix-style combination of random percentage, we performed experiments using four public datasets which has been generally used to compare the performance of methods for the data imbalance problem. From the results of experiments, we can find the usefulness of the proposed method.

• Journal of Science and Technology Studies
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• v.14 no.2
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• pp.251-280
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• 2014

Although gender-mainstreaming policies have been implemented, women are still under-represented in Korean science and technology (S&T). It is necessary to systematically analyze successful strategies which improved gender-diversity in S&T institutional environment. This paper examined notable attempts to lessen gender inequality in the fields of S&T education, research and industry. In so doing, the paper makes three important arguments. First, effective strategies for gender-mainstreaming are based upon gender-sensitive analyses of institutional and cultural contexts in S&T. Second, gender-sensitive strategies can contribute not only to gender-diversity but also qualitative and quantitative improvements in S&T. Finally, the paper provides strategies to increase gender-diversity in Korean S&T.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.3A
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• pp.225-234
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• 2008

Orthogonal Frequency Division Multiplexing (OFDM) systems utilizing direct conversion receiver suffer from frequency selective (FS) and frequency independent (FI) phase and gain imbalances caused by imperfect local oscillator and low pass filter. In this paper, we analyze the impacts of the transmit/receive IQ imbalances on the system and propose the estimation and compensation schemes for those imbalances. The preamble signals coded by Alamouti scheme in the frequency domain could be used in the estimation of relatively large IQ imbalances with FS and FI characteristics and the estimation results are used for the compensation of distortions caused by the FI and FS IQ imbalances. The optimal maximum likelihood (ML) receiver or suboptimal ordered successive interference cancallation (OSIC) receiver utilizing the estimation results show symbol error rate (SER) performance improvement compared to zero-forcing (ZF) technique due to diversity gain inherent in the frequency domain IQ imbalances combined with the frequency selective channels.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.389-399
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• 2019

The purpose of this study was to investigate the effects of muscle asymmetry of knee joint among elite cyclists on anaerobic pedaling power related capacity. In another word, based on isokinetic strength of Non-Dominant, ND and Dominant, D, side, high, moderate and low ratio of ND to D were classified as High Symmetry Group, Moderate Symmetry Group and Asymmetry Group, respectively. Analysis of muscle asymmetry of extensor's ND and D side might not lead to any difference between the three groups. Based on muscle strength analysis of the flexor's ND and D, there was statistical difference between the groups in ND flexor and in the muscle balance index of the flexor muscle. This result also leads to significant difference in pedaling power functionality, but this effects might not lead to any negative pedaling power. Therefore, among even cyclists who may show almost the same recruitment pattern of ND and D side during pedaling stroke muscle asymmetry could exist but this phenomena might not negatively contribute to the pedaling capacity.

• International Area Studies Review
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• v.14 no.1
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• pp.121-138
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• 2010

This paper investigates the effectiveness of the Bretton Woods II hypothesis, by analysing the relationship between the exchange rates and the U.S. current account against 9 Asian countries for the period of 1999-2008. According to the estimation results, It is found that the Asian currencies' real depreciation significantly have worsened the U.S. current account against the Asian countries. Also, the U.S. current account was significantly affected by GDP and investment of the U.S. and the Asian countries. Thus, It is hard to say that the main driver of the global imbalance is the exchange rates devaluation policies of Asian countries as the Bretton Woods II hypothesis argues. The global imbalance is more likely to be complementally affected by savings glut in the Asian region and the deficiency of net saving in the U.S. Therefore, the global imbalance is expected to adjust when economic conditions besides exchange rates change.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.12
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• pp.445-452
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• 2022

Class distribution of unbalanced data is an important part of the digital world and is a significant part of cybersecurity. Abnormal activity of unbalanced data should be found and problems solved. Although a system capable of tracking patterns in all transactions is needed, machine learning with disproportionate data, which typically has abnormal patterns, can ignore and degrade performance for minority layers, and predictive models can be inaccurately biased. In this paper, we predict target variables and improve accuracy by combining estimates using Synthetic Minority Oversampling Technique (SMOTE) and Light GBM algorithms as an approach to address unbalanced datasets. Experimental results were compared with logistic regression, decision tree, KNN, Random Forest, and XGBoost algorithms. The performance was similar in accuracy and reproduction rate, but in precision, two algorithms performed at Random Forest 80.76% and Light GBM 97.16%, and in F1-score, Random Forest 84.67% and Light GBM 91.96%. As a result of this experiment, it was confirmed that Light GBM's performance was similar without deviation or improved by up to 16% compared to five algorithms.

• Journal of the Korean Society of Food Science and Nutrition
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• v.32 no.2
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• pp.197-206
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• 2003

Physiological functions of raw grain diet composed of brown rice and Job's Tear (1 : 1) were evaluated in rats raised with nutritionally unbalanced diet including 1% cholesterol, high proportion of animal lipids (lard: soybean oil : 8 : 2), sub-optimal levels of vitamin and mineral mixture along with 0.5% ethanol in drinking water for 4 weeks. Control rats were fed the AIN-93G diet for 9 weeks, and nutritionally unbalanced rats were divided into 3 groups, and fed one of the following diets with 0.5% ethanol in drinking water for another 5 weeks: unbalanced control diet (UCD), raw grain diet (RGD) (UCD +20% brown rice and Job's Tear mixture, and cooked grain diet (CGD)(autoclaved RGD at 121$^{\circ}C$ for 3 hours). Feeding UCD for 5 weeks significantly lowered the food efficiency ratio (FER) of rats than the value for control animals, and dietary supplementation of brown rice and Job's Tear mixture to UCD significantly restored the FER. Serum total cholesterol concentration was significantly lowered in rats fed RGD (24% decrease) or CGD (16% decrease) compared to the value for rats fed UCD. Feeding RGD for 5 weeks significaly lowered the serum LDL+VLDL-cholesterol concentration (26% decrease), as well as the hepatic cholesterol level (16% decrease) than the values for UCD rats. Animals fed CGD (38% decrease) or RGU (59% decrease) showed significantly lower level of hepatic thiobarbituric acid reactive substances (TBARS) compared to the value for rats fed UCD (p<0.05), although hepatic activities of antioxidative enzymes were not influenced by dietary supplementation. Feeding RGD for 5 weeks significantly increased CD4$^{＋}$ T-cell population along with CD4$^{＋}$/CD8$^{＋}$ ratio of mesenteric lymph nodes compared to those for UCD rats (p<0.05). In conclusion, dietary supplementation of brown rice and Job's Tear mixture as raw grains exhibited superior activity lowering blood and hepatic levels of cholesterol, and improving mesenteric lymph nodes immune function of rats to the cooked grain mixture of identical ingredients.

• The KIPS Transactions:PartD
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• v.9D no.5
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• pp.755-768
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• 2002

We investigate the effect of the data skew of join attributes on the performance of a pipelined multi-way hash join method, and propose two new hash join methods with load balancing capabilities. The first proposed method allocates buckets statically by round-robin fashion, and the second one allocates buckets adaptively via a frequency distribution. Using hash-based joins, multiple joins can be pipelined so that the early results from a join, before the whole join is completed, are sent to the next join processing without staying on disks. Unless the pipelining execution of multiple hash joins includes some load balancing mechanisms, the skew effect can severely deteriorate system performance. In this paper, we derive an execution model of the pipeline segment and a cost model, and develop a simulator for the study. As shown by our simulation with a wide range of parameters, join selectivities and sizes of relations deteriorate the system performance as the degree of data skew is larger. But the proposed method using a large number of buckets and a tuning technique can offer substantial robustness against a wide range of skew conditions.