• Journal of Fashion Business
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• v.4 no.3
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• pp.131-139
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• 2000

The purpose of this study is to provide for the basic data useful to the knitwear size standards for the effective production. For this purpose, knit promotions that product knitwear for 20 age $\sim$ 30 middle age women were sampled to survey their condition of the size designation and basic product size of knitwear, and their directors were surveyed through direct interviews. Data is processed by a computer(SPSS) and analyzed by using frequency, percentage, mean and mode. The results of this study are as follows. 1. Size designation and bodysize of knitwear are not standardized. 2. Knit promotions that don't mark bodysize on the size designation label are not a few. 3. Cardigan's sizes except for a few part are equal to round/pola T-shirt's sizes or are large more than those.

• Journal of the Korean Data and Information Science Society
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• v.16 no.3
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• pp.665-682
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• 2005

The sample reuse bootstrap technique has been successful to attract both applied and theoretical statisticians since its origination. In recent years a good deal of attention has been focused on the applications of bootstrap methods in regression analysis. It is easier but more accurate computation methods heavily depend on high-speed computers and warrant tough mathematical justification for their validity. It is now evident that the presence of multiple unusual observations could make a great deal of damage to the inferential procedure. We suspect that bootstrap methods may not be free from this problem. We at first present few examples in favour of our suspicion and propose a new method diagnostic-before-bootstrap method for regression purpose. The usefulness of our newly proposed method is investigated through few well-known examples and a Monte Carlo simulation under a variety of error and leverage structures.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.599-606
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• 2005

Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification accuracy when a supervised learning scheme is employed. Thus, an unsupervised learning scheme is often employed ignoring those few novel patterns. In this paper, we propose two ways to make use of the few available novel patterns. First, a scheme to determine local thresholds for the Self Organizing Map boundary is proposed. Second, a modification of the Learning Vector Quantization learning rule is proposed so that allows one to keep codebook vectors as far from novel patterns as possible. Experimental results are quite promising.

• Structural Engineering and Mechanics
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• v.26 no.2
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• pp.179-190
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• 2007

Damage detection based on measured vibration data has received intensive studies recently. Frequently, the damage to a structure may be reflected by a change of some system parameters, such as a degradation of the stiffness. In this paper, we apply a method to nondestructively locate and estimate the severity of damage in corrosion pipeline for which a few natural frequencies or mode shapes are available. The method is based on the strain modal sensitivity ratio (SMSR) and the orthogonality conditions sensitivities (OCS) applied to vibration features identified during the monitoring of the pipeline. The advantage of these methods is that it only requires measuring few modal parameters. The SMSR-based and OCS-based damage detection methods are illustrated using computer-simulated and laboratory testing data. The results show that the current method provides a precise indication of both the location and the extent of corrosion pipeline.

• International Commerce and Information Review
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• v.11 no.1
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• pp.117-137
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• 2009

Although the third-party logistics are activated and researched in many ways in the advanced countries, China is still on the beginning phase of the third-party logistics and has announced few studies on them. Especially, the study on factors affecting formation for partnership between shippers and third-party logistics providers has never been announced in China, and few empirical studies on them have been done. In order to verify established hypothesis, the empirical analysis is conducted as follows. Totally 500 copies of questionnaire were drawn up and distributed. Amid them 160 copies were collected, finally 155 copies were used for this study as valid samples. The questionnaire used nominal scale and 5 Likert scale. Statistics of collected data were under the data coding process, and analyzed by applying SEM program.

• Journal of Korean Society for Quality Management
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• v.39 no.4
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• pp.500-506
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• 2011

Evolutionary operation (EVOP) proposed by Box(1957) is a method for continuous monitoring and improvement of a full-scale manufacturing process with the objective of moving the current operating conditions toward the better ones. EVOP in experiments with mixtures consists of screening vital few components and making small changes in the current operating condition by making small increments in the proportion of the screened component. In this paper, how to determine operating conditions in EVOP in experiments with mixtures around the current operating condition is proposed. The proposed methods are illustrated with the simulated data based on the well known flare experimental data described by McLean and Anderson(1966).

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.51
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• pp.89-97
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• 1999

Recently, due to the rapid technological progress, CDMA cellular system is widely used for voice, data and multimedia services. But the analysis for voice-data integrated traffic has not been done satisfactorily. Moreover, there is few research results for voice-data integrated traffic. In this paper, we propose an effective channel allocation algorithm for CDMA cellular system which serves voice-data integrated traffic. As for the proposed channel allocation algorithm, new calls and hand-off calls first attempt to connect micro-cell. We model the channel allocating scheme as a Birth-and-Death process. We reserve a few hand-off dedicated channels and calculate the blocking probability of hand-off calls varying the number of hand-off dedicated channels. Then we decide the number of hand-off dedicated channels satisfying the proper QoS(Quality of Service) and minimum blocking probability.

• Journal of Information Technology Applications and Management
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• v.14 no.3
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• pp.137-149
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• 2007

Most of hospitals, especially small-scale hospitals, have tried to get customers through the Internet as what companies have done recently. There are various attempts that increase visits to one's web-site in plastic surgery hospitals. However, in plastic surgery, there have been few studies on which an attribute contributes to increase the number of web-site visit. In order to derive the important attributes on the number of visit, we compared functional attributes of 30 high-visit plastic surgery web-sites with those of 30 low-visit web-sites using statistical and data mining methods. For analysis, three methods have conducted including Multiple Discriminant Analysis (statistical method), Decision Trees (data mining method), and Artificial Neural Network (data mining method). Furthermore, results of each method have been evaluated one another. The result of this study shows that a few attributes like 'Simulating cyber plastic surgery program', 'recommendation of information' explain the number of the visitors between high and low visit web-site. The methodology employed in this study provides an efficient way of improving satisfaction of visitors of plastic surgery website.

• Journal of Broadcast Engineering
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• v.26 no.7
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• pp.844-854
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• 2021

Semi-supervised learning (SSL) and few-shot learning (FSL) have shown impressive performance even then the volume of labeled data is very limited. However, SSL and FSL can encounter a significant performance degradation if the diversity gap between the labeled and unlabeled data is high. To reduce this diversity gap, we propose a novel scheme that relies on an autoencoder for generating pseudo examples. Specifically, the autoencoder is trained on a specific class using the available labeled data and the decoder of the trained autoencoder is then used to generate N samples of that specific class based on N random noise, sampled from a standard normal distribution. The above process is repeated for all the classes. Consequently, the generated data reduces the diversity gap and enhances the model performance. Extensive experiments on MNIST and FashionMNIST datasets for SSL and FSL verify the effectiveness of the proposed approach in terms of classification accuracy and robustness against adversarial attacks.

• Proceedings of the ESK Conference
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• 1995.04a
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• pp.117-123
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• 1995

The anthropometric data are one of the most important factors to be considered for an aircraft systems design. Rescently, co-development program between the countries is considered frequently as a type of aircraft acquisition in aircraft industry. Consequently, the comparision of anthropometric data beteen the countries for the cockpit design is essential. In this paper, we simpoly compares anthropometric data of Korean air force pilots with those of Japan air force pilots. Although further collection of data are reauired, the result shows a few differences and it shows the possibility of future co-development program between the countries.