• Proceedings of the IEEK Conference
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• 2000.11a
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• pp.65-68
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• 2000

In CDMA, the currently used PN code acquisition methods detect the phase of the incoming PN signal on the basis of ML estimation. In serial search strategy, it takes relatively long time for PN code acquisition. A study related to reduce processing time of PN code acquisition is important. Therefore we propose a reference code design for a new algorithm that a reference code and the received PN code are fully correlated to detect the transmitted PN code, in detail, the relative phase offset j of c⒡. After choosing two weight factors, we show the mathematical analysis and derivation for the reference code design.

• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.499-502
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• 1998

Most popular disk block replacement polices are LRU(Least Recently Used)policy and LFU(Least Frequently Used)policy. The LRU policy replaces blocks according to the most recent reference without considering the frequency of reference. The LFU policy replaces blocks according to the frequency of reference without considering the recently of the reference. In this thesis, a policy called LFR(least Frequently Use & Not Used Recently) disk block replacement policy is presented. The LFR policy subsumes the LFU policy and the NUR policy. The spectrum of the LFR policy exists between the LFU policy and the NUR policy because we co give different weight to each reference of a block. The implementation shows LFR policy outperforms the previously implemente LRU policy.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.9
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• pp.133-141
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• 1994

Conventional competitive learning algorithms compute the Euclidien distance to determine the winner neuron out of all predetermined output neurons. In such cases, there is a drawback that the performence of the learning algorithm depends on the initial reference(=weight) vectors. In this paper, we propose a new competitive learning algorithm that dynamically generates output neurons. The proposed method generates output neurons by dynamically changing the class thresholds for all output neurons. We compute the similarity between the input vector and the reference vector of each output neuron generated. If the two are similar, the reference vector is adjusted to make it still more like the input vector. Otherwise, the input vector is designated as the reference vector of a new outputneuron. Since the reference vectors of output neurons are dynamically assigned according to input pattern distribution, the proposed method gets around the phenomenon that learning is early determined due to redundant output neurons. Experiments using speech data have shown the proposed method to be superior to existint methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.9
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• pp.2976-2990
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• 2022

The adaptive adjustment of reference or weight vectors in decomposition-based methods has been a hot research topic in the evolutionary community over the past few years. Although various methods have been proposed regarding this issue, most of them aim to diversify solutions in the objective space to cover the true Pareto fronts as much as possible. Different from them, this paper proposes a knee point-based reference vector adaptive adjustment strategy to concurrently balance the convergence and diversity. To be specific, the knee point-based reference vector adaptive adjustment strategy firstly utilizes knee points to construct the adaptive reference vectors. After that, a new fitness function is defined mathematically. Then, this paper further designs a many-objective evolutionary algorithm with knee point-based reference vector adaptive adjustment strategy, where the mating operation and environmental selection are designed accordingly. The proposed method is extensively tested on the WFG test suite with 8, 10 and 12 objectives and MPDMP with state-of-the-art optimizers. Extensive experimental results demonstrate the superiority of the proposed method over state-of-the-art optimizers and the practicability of the proposed method in tackling practical many-objective optimization problems.

• Journal of the Korean Society of School Health
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• v.22 no.1
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• pp.61-65
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• 2009

AIMS: Korean National Growth Chart was newly developed at 2007. Prevalence of obesity is expected to be changed according to reference data. This study was performed to compare the prevalence of obesity based on the newly developed growth curve with that of previous data. We also investigate the incidence of obesity, overweight, and normal criteria by two kinds of growth curves. Method: We obtained weight, height from 438 middle school students and 1786 high school students. We divided enrolled students into four groups (middle school boys, middle school girls, high school boys, high school girls). The obese, over weight group was defined as BMI(body mass index) more than 95th, 85th${\sim}$94th percentile respectively for age and sex. Obesity by relative weight was defined more than 20% of ideal body weight. We compare the prevalence of obesity in each group by the newly developed Korean National Growth Chart in 2007 and that in 1998. Result: Prevalence of obesity by BMI based on 2007 Korean National Growth Chart and that in 1998 were 8.2-12.9% and 9.0-20.4% respectively. The concordance rate were 99.0%-100% in obese group and 45.0%-91.9% in overweight group according to two kinds of reference data. Prevalence of obesity by relative weight was 11.7-23.0% that was same between 2007 Korean National Growth Chart and that in 1998 except middle school boys group. Conclusion: We found that there is a decrease in prevalence of Obesity by BMI based on 2007 Korean National Growth Chart. It is necessary to evaluate correlation between criteria for obesity and obesity related comorbid conditions for finding proper BMI or relative weight cut off value to prevent obesity and obesity related complications effectively.

• Biomedical Science Letters
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• v.18 no.3
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• pp.268-275
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• 2012

Reference ranges of standard experimental parameters are useful for comparisons in toxicology. The aim of this study was to collect data from 4-week repeated toxicity studies in Crl:CD (SD) rats, a strain widely used for toxicity and efficacy research, for establishing domestic reference values. Data on body weight, food consumption; urinalysis, hematological, and blood biochemical parameters; and organ weights were collected from 16 toxicity studies in 220 Crl:CD (SD) rats (110 males and 110 females). The studies had been performed at a single testing facility over the last 3 years and involved animals sourced from a single breeder. The findings were collated as means, standard deviations, percentages, and ranges. Urine volume, uterus weight, eosinophil, and basophil counts, and triglyceride, total bilirubin, and gammaglutamyl transpeptidase levels showed standard deviations of 30% or more. These historical control data would help to interpret the effects of test substances in routine toxicity and efficacy studies.

• Journal of Nutrition and Health
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• v.1 no.1
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• pp.49-51
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• 1968

The Calorie allowances for a reference man (25 years, 60kg, moderate work) and a reference woman (25 years, 52kg, moderate work) were given by the formulae which were recommended by the Food and Agricultural Organization(FAO). E=152 W 0.73 3,000 Calories(man) E=123.4 W 0.73 2,200 Calories (woman) The appropriate adjustments were made for age, body weight (Table 1) and activity (Table 2) of adults other than a 'reference man' and 'reference woman' based on our report of 'Studies of Basal Metabolism and Energy Expenditure of Koreans in Daily Life' supported partly by the U.S. Department of Agriculture. The recommendation of FAO for the calorie requirements for children, the additional allowances for pregnancy, lactation and environmental temperature were adopted.

• Asian-Australasian Journal of Animal Sciences
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• v.2 no.4
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• pp.599-605
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• 1989

A comparison of the ARC metabolizable energy system and the NRC net energy system was made with special reference to growing steers. Two simulation models, one based on the ARC and other on the NRC system, were constructed to examine differences between the energy systems. The average daily live-weight gains predicted from both models for growing steers were compared under various conditions in which equal feeding levels and metabolizabilities were assumed. The two simulation models yielded similar results with very high energy intake with high quality feed. Difference between the two systems became larger as feeding conditions deviated from the above. The ARC system generally predicted higher daily live-weight gains than the NRC system. This appeared to be due to the higher efficiency of utilization of metabolizable energy ($k_m$ and $k_f$) and basal metabolism (F), and lower energy value of growth (EVG) in the ARC system.

• Proceedings of the Korea Concrete Institute Conference
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• 2002.10a
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• pp.217-222
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• 2002

The purposes of this study are to investigate the material characteristics and strength properties of concrete mixed with waste incinerated bottom ash(BA), and to evaluate the leaching of environmentally harmful heavy metals from the bottom ash itself and from hardened concrete mixed with bottom ash. For this purpose, two reference mixes with W/C ratios of 0.45 and 0.55 were used, and the replacement proportion of BA was varied with the ratios of 0%, 30%, 50%, 70%, and 100% by volume of fine aggregate in the reference mixes. The variation of compressive and splitting tensile strength, workability and unit weight of concrete were considered. Test results showed that the strengths, workability and unit weight decreased with increase in proportion of BA replaced. Leaching test results showed that there would be no environmentally harmful problem from using BA as the substitutes of fine aggregates in concrete.

• Structural Engineering and Mechanics
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• v.55 no.4
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• pp.885-900
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• 2015

This paper introduces Romberg-Richardson's method as one of the numerical integration tools for computation of stress intensity factor in a pre-cracked specimen subjected to a complex stress field across the crack faces. Also, the computation of stress intensity factor for various stress fields using existing three methods: average stress over interval method, piecewise linear stress method, piecewise quadratic method are modified by using Richardson extrapolation method. The direct integration method is used as reference for constant and linear stress distribution across the crack faces while Gauss-Chebyshev method is used as reference for nonlinear distribution of stress across the crack faces in order to obtain the stress intensity factor. It is found that modified methods (average stress over intervals-Richardson method, piecewise linear stress-Richardson method, piecewise quadratic-Richardson method) yield more accurate results after a few numbers of iterations than those obtained using these methods in their original form. Romberg-Richardson's method is proven to be more efficient and accurate than Gauss-Chebyshev method for complex stress field.