• Journal of the Korean Society of Safety
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• v.10 no.2
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• pp.46-55
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• 1995

The recent development of NC lathe and machining center have enabled automatic or unmanned manufacturing system for the improvement of production rate. And if you want to introduce automatic or unmanned manufacturing system into the cutting process of cage motor rotor, the selections of effective cutting conditions, rational tool grades and tool angles are necessary. As a result, the selection of cutting conditions, tool grades and tool angles are important factors to production rate.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.52 no.3
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• pp.113-120
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• 2003

Plasma display panels normally utilize the binary coded light emission scheme for gray scale expression. Subsequently, this expression method makes dynamic false contours. We propose the "E3DSM(enhanced 3-dimension scattering method)" that improved existing 3-d scattering method and the "HAM(histogram analysis method)" that is decided the driving schemes and subfield selections with histograms of images. Simulation results show the improving image quality.

• Journal of Information Processing Systems
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• v.4 no.1
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• pp.1-8
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• 2008

In this paper, we discuss the use of fragmented bandwidth to improve the performance of staggered striping in a multimedia system. It is observed that potential disruptions can occur when nonconsecutive idle disks are used for displaying multimedia objects. We have identified useful retrieval patterns and shown that with proper selections of fragmented disks and a simple buffering scheme, disruptions can be easily eliminated.

• Asia Marketing Journal
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• v.16 no.3
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• pp.23-33
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• 2014

The selection of keywords for bidding is a critical component of paid search advertising. When the number of possible keywords is enormous, it becomes difficult to choose the best keywords for advertising and then subsequently to assess their effect. To this end, we propose an ultrahigh dimensional keyword selection approach that not only reduces the dimension for selections, but also generates the top listed keywords for profits. An empirical analysis using a unique panel dataset from a large online clothes retailer that advertises on the largest search engine in China (i.e., Baidu) is presented to illustrate the usefulness of our approach.

• Current Research on Agriculture and Life Sciences
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• v.7
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• pp.47-53
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• 1989

Cultivars of bell and other types of pepper introduced from United States of America and from Japan were planted in the Kyungpook National University experiment farm to investigate their characteristics. Such introductions from Japan as 'Oojishi', 'Saitama Wase', 'Beianeiko', and 'Ichiba' were leading in fresh fruit yield, followed by such introductions from America as 'Keystone Resistant Giant # 3' and 'Emerald Giant'. The introductions from Japan were high yielding and with good fruit set but their fruits were smaller than those of introductions from America. Cultivars introduced from America were inferior to those from Japan in yield and vigor but produced large fruits. Fruits of 'Keystone Resistant Giant #3', 'Yolo Wonder' selections, 'Emerald Giant', and 'Mercury' were the largest. among them Other cultivars such as 'Cubanelle', 'Sweet Banana', 'Anaheim' selections, and 'Cherry Sweet' were also included in the experiment, their characteristics were investigated and their usage was discussed.

• The Journal of the Korea Contents Association
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• v.7 no.2
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• pp.161-169
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• 2007

This study examines the effects of learner's metacognition and scaffolding types on problem solving processes by examined 49 undergraduates to identify effective scaffolding type in Web-based PBL. This study classifies problem solving processes as defining the problem, developing solutions, making selections and justifications for the Proposed solution(s), and monitoring the solution. Moreover, it classifies scaffolding types as subject-related scaffolding and process-related scaffolding. As a result, the upper metacognition group showed higher performance only in monitoring solutions than the lower metacognioon group. This study also showed that offered scaffolding effects are not statistically significant. However, the lower metacognition group showed higher performance when subject-related scaffolding was offered and the upper metacognition group showed higher performance when process-related scaffolding was offered in making selections and justifications for the proposed solution(s) and monitoring solution. This study, based on the result of research, can partially verify the effects of learner's metacognition on problem solving processes and interaction effects between scaffolding and metacogniton in Web-based PBL.

• Ocean Systems Engineering
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• v.9 no.3
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• pp.287-328
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• 2019

Comprehensive understanding of the flood risk assessments via frequency analysis often demands multivariate designs under the different notations of return periods. Flood is a tri-variate random consequence, which often pointing the unreliability of univariate return period and demands for the joint dependency construction by accounting its multiple intercorrelated flood vectors i.e., flood peak, volume & durations. Selecting the most parsimonious probability functions for demonstrating univariate flood marginals distributions is often a mandatory pre-processing desire before the establishment of joint dependency. Especially under copulas methodology, which often allows the practitioner to model univariate marginals separately from their joint constructions. Parametric density approximations often hypothesized that the random samples must follow some specific or predefine probability density functions, which usually defines different estimates especially in the tail of distributions. Concentrations of the upper tail often seem interesting during flood modelling also, no evidence exhibited in favours of any fixed distributions, which often characterized through the trial and error procedure based on goodness-of-fit measures. On another side, model performance evaluations and selections of best-fitted distributions often demand precise investigations via comparing the relative sample reproducing capabilities otherwise, inconsistencies might reveal uncertainty. Also, the strength & weakness of different fitness statistics usually vary and having different extent during demonstrating gaps and dispensary among fitted distributions. In this literature, selections efforts of marginal distributions of flood variables are incorporated by employing an interactive set of parametric functions for event-based (or Block annual maxima) samples over the 50-years continuously-distributed streamflow characteristics for the Kelantan River basin at Gulliemard Bridge, Malaysia. Model fitness criteria are examined based on the degree of agreements between cumulative empirical and theoretical probabilities. Both the analytical as well as graphically visual inspections are undertaken to strengthen much decisive evidence in favour of best-fitted probability density.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1269-1276
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• 2023

Crop estimation is essential for the multinational meal and powerful demand due to its numerous aspects like soil, rain, climate, atmosphere, and their relations. The consequence of climate shift impacts the farming yield products. We operate the dataset with temperature, rainfall, humidity, etc. The current research focuses on feature selection with multifarious classifiers to assist farmers and agriculturalists. The crop yield estimation utilizing the feature selection approach is 96% accuracy. Feature selection affects a machine learning model's performance. Additionally, the performance of the current graph classifier accepts 81.5%. Eventually, the random forest regressor without feature selections owns 78% accuracy and the decision tree regressor without feature selections retains 67% accuracy. Our research merit is to reveal the experimental results of with and without feature selection significance for the proposed ten algorithms. These findings support learners and students in choosing the appropriate models for crop classification studies.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.6
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• pp.962-974
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• 1996

This study aimed to provide basic data in designing clothes for the elderly women. The subjects in this study were 230 elderly women over sixty years old. The major objectives of this study were as follow; 1 Categorization of the subjects based on their age and Rohrer index. 2. Relationship between age and body cathexis. 3. Relationship between age and clothing size satisfaction. 4. Relationship between age and clothing attitudes. The results were as follows; 1. Height decreased while bust, waist and hip circumstances increased with ageing. 2. All subjects were dissatisfied with their body changes associated with ageing. 3. The women over seventy years old were more dissatisfied with apparel size than those in the sixties. Especially the women aged over 75 complained the back length and the crotch length. 4. The elderly wowed were insterested in sewing condition, size and comfort with ageing even though they considered color and design as the most important attribute in selections clothes.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 1996.11a
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• pp.53-56
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• 1996

In order to propose the method of the consequence analysis for fire accidents by the heavy gas release and to obtain optimum conditions of parameter selections, the consequence analysis for jet fire by the accident of xylene vapor release were performed. And the effect and the sensitivity analysis of parameters affecting the consequence were investigated. Simulation results showed that important parameters affecting results of the xylene vapor release accident were mainly hole diameter, interested distance, wind speed, and so on. For the jet fire, the accident result and the sensitivity of thermal radiation were increased with the decrease of interested distance and the increase of hole diameters, and the accidental result was increased as the increase wind speed, but the sensitivity of thermal radiation was decreased.