• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.3
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• pp.265-268
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• 2009

We present the experimental study to realize a DNA separation chip using asymmetrically-switched nonuniform electric fields. The DNA separation chip redistributes DNA molecules within a specific area based on the size- and field-dependent nonlinearity of DNA drift velocity. The present chip is composed of a width variable channel to distribute nonuniform electric field, a DNA loading slit and a pair of electrodes to apply electric field. We focus on the design of DNA separation chips with identifying the nonlinearity of DNA drift velocity using three different DNA molecules (11.1kbp, 15.6kbp, and 48.5kbp) in the chips. It is demonstrated that different size of DNA shows different net migration in different direction under the asymmetrically-switched nonuniform electric field.

• Korean Journal of Agricultural Science
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• v.25 no.2
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• pp.343-350
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• 1998

This paper is aims at identifying the minimum farm size of the greenhouse vegetable cooperatives. Farm cooperative is one of the institutional measurments for the seeking of economy of scale which could not be found in family farm. In this paper 5 cooperatives and 5 farmhouseholds which have been managed vegetable greenhouse were surveyed. The results are as follows; First, cooperatives had 29.3% less on the fixed costs, and received 43% more on prices than general vegetable farmhouseholds. This means that the cooperatives have economy of scale. Second, to establish full organized coopratives, cooperative sizes must be more than 4,582 pyung, considering the government target which will be loaned 80% goverment loan of total facility costs with no subsidy.

• Korean Journal of Construction Engineering and Management
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• v.5 no.5 s.21
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• pp.93-100
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• 2004

For accurate construction contract time estimation, few parameters are more significant than crew production rates and factors affecting the rates. However, statistical analysis techniques for finding such factors are not always simple mainly because there are many factors and the interaction between factors is not well quantitatively understood. This paper presents methodology of identifying factors driving crew production rates. The methodology is further demonstrated with representative data collected by the author from 13 on-going highway constructions. Three factors were identified as statistically significant drivers of Cap crew production rate: 'Cap Size (m3/ea)'; 'Cap Length (m)'; and 'Cap Shape (Rectangle vs. Inverted 'T')'. It was also found that the production rates are best explained by a multiple regression model with two of the drivers; 'Cap Size' and 'Cap Shape'.

• Journal of the Korean Home Economics Association
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• v.48 no.4
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• pp.71-81
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• 2010

For a pattern to be a scientific and reasonable drafting method. it should be based on the human body, have fewer measuring items, be easy to learn, and be able to make good-looking clothing that fits many people. Therefore, the height, foot length and circle radius in the Durumagi drafted in this study examined to improved the drafting method for Korean Durumagi. As a result, a pattern drafting method was developed in which Moo, Gutsup, Ansup and length of clothing were naturally derived according to the size of individuals.

• Animal Bioscience
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• v.34 no.1
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• pp.20-25
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• 2021

Objective: The objective of the study was to investigate the possibility of utilizing an early litter size trait as an indirect selection trait for longevity and to estimate genetic parameters between sow stayability and litter size at different parities using a linear-threshold model for longevity in Thai Large White (LW) and Landrace (LR) populations. Methods: The data included litter size at first, second, and third parities (NBA1, NBA2, and NBA3) and sow stayability from first to fourth farrowings (STAY14). The data was obtained from 10,794 LR and 9,475 LW sows. Genetic parameters were estimated using the multiple-trait animal model. A linear-threshold model was used in which NBA1, NBA2, and NBA3 were continuous traits, while STAY14 was considered a binary trait. Results: Heritabilities for litter size were low and ranged from 0.01 to 0.06 for both LR and LW breeds. Similarly, heritabilities for stayability were low for both breeds. Genetic associations between litter size and stayability ranged from 0.43 to 0.65 for LR populations and 0.12 to 0.55 for LW populations. The genetic correlation between NBA1 and STAY14 was moderate and in a favorable direction for both LR and LW breeds (0.65 and 0.55, respectively). Conclusion: A linear-threshold model could be utilized to analyze litter size and sow stayability traits. Furthermore, selection for litter size at first parity, which was the genetic trait correlated with longevity, is possible when one attempts to improve lifetime productivity in Thai swine populations.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.5
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• pp.561-574
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• 2011

This study investigates the ultimate factor structure of consumer dissatisfaction with the off-line purchase and usage of clothing. It identifies the determinant dimensions of consumer dissatisfaction on clothing purchase and usage and investigates the hierarchical structure of consumer dissatisfaction by assessing and comparing the effectiveness of five alternative factor structure models. A total of 300 women were online-surveyed to assess the level of dissatisfaction based on their dissatisfying experience with clothing purchases and usage in terms of product quality, price, salesperson's attitude, and store environment. The exploratory factor analysis identified the underlying dimensions of dissatisfaction: Handling, Aesthetics, Salesperson, Size, Price, Product Quality, Service, and Environment. By employing a first-order confirmatory factor analysis and higher-order confirmatory factor analysis, consumer dissatisfaction was confirmed to have a hierarchical structure with three second-order constructs Intrinsic instrument is manifested by handling, quality, and size, Intrinsic expression consists of service, salesperson, and environment, and Extrinsic circumstance contains aesthetics and price. On empirically demonstrating the multi-dimensional constructs of consumer dissatisfaction by identifying its hierarchical structure, the study provides the theoretical and practical insights to comprehend consumer purchase and post-purchase behavior. Specifically, it affords an empirical platform to extend the scope of research with condensed concepts of dissatisfaction to researchers. In addition, it also enables marketers to take a broader view of consumer dissatisfaction by providing cues about potential problems and identifying the source of those problems.

• The Korea Journal of Herbology
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• v.26 no.1
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• pp.1-6
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• 2011

Objectives : Due to morphological similarity, many substitutes and counterfeits have been used as Moktong for thousands of years. This study was designed to determine discriminative criteria for identifying medicinal herbs used as Moktong. Methods : Akebia quinata, A. trifoliata, Clematis armandii, and Aristolochia manshuriensis were collected in various regions. Samples were authenticated and examined by observation and microscopy with paraffin embedding and triple staining using the modified Ju staining method. Results : Three different types of features to establish discriminative criteria for four kinds of Moktong were identified. Botanical features include differences in phyllotaxy, leaf shape, and caulescent. External morphological features were arrangement and size of fine holes(xylem), and overall shape of the section. Internal morphological features include the number of medullary rays, shape of the pitch, type of tissues rounding pitch, appearance of annual rings, shape and amount of crystals(calcium-oxalate), and the appearance of cork cambium. Further details(e.g. identification keys) are in the article. Conclusions : These criteria could provide an effective method for identifying numerous kinds of Moktong distributed in markets throughout northeast Asian nations.

• Journal of Periodontal and Implant Science
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• v.54 no.1
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• pp.3-12
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• 2024

Deep learning (DL) offers promising performance in computer vision tasks and is highly suitable for dental image recognition and analysis. We evaluated the accuracy of DL algorithms in identifying and classifying dental implant systems (DISs) using dental imaging. In this systematic review and meta-analysis, we explored the MEDLINE/PubMed, Scopus, Embase, and Google Scholar databases and identified studies published between January 2011 and March 2022. Studies conducted on DL approaches for DIS identification or classification were included, and the accuracy of the DL models was evaluated using panoramic and periapical radiographic images. The quality of the selected studies was assessed using QUADAS-2. This review was registered with PROSPERO (CRDCRD42022309624). From 1,293 identified records, 9 studies were included in this systematic review and meta-analysis. The DL-based implant classification accuracy was no less than 70.75% (95% confidence interval [CI], 65.6%-75.9%) and no higher than 98.19 (95% CI, 97.8%-98.5%). The weighted accuracy was calculated, and the pooled sample size was 46,645, with an overall accuracy of 92.16% (95% CI, 90.8%-93.5%). The risk of bias and applicability concerns were judged as high for most studies, mainly regarding data selection and reference standards. DL models showed high accuracy in identifying and classifying DISs using panoramic and periapical radiographic images. Therefore, DL models are promising prospects for use as decision aids and decision-making tools; however, there are limitations with respect to their application in actual clinical practice.

• Korean Journal of Community Nutrition
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• v.1 no.1
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• pp.79-88
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• 1996

This study was conducted to assess nutritional status of the elderly from low-income urban area and to investigate environmental and health risk factors that may influence to nutrient intakes. One hindered eighty three(males 53, females 130) healthy homestaying subjects aged over 65 years in Seoul were assessed with anthropometric measurements and dietary intake in August, 1994. HT and BW for females were decreased with aging. The proportion of hypertension was 36% with indite of $SBP{\;}(SBP{\;}{\gg}{\;}160mmHg)$ and 52% with indice of DBP $(DBP{\;}\gg{\;}97mmHg)$. Distribution of BMI, OR and PIBW indicated that BMI was more sensitive for identifying underweight whereas PIBW was more sensitive for identifying overweight. for group aged over 75, males had significantly lower intake of energy, protein, fat, calcium, iron, vitamin A and $\beta$ carotene compared to the group aged 67~74, while females had lower intake of calcium and vitamin A. Elderly group with smoking, less familly size and living alone had lower nutrient intakes. Blood pressure in the elderly subjects did not influence to nutrient intakes, except elderly with normal blood pressure were taking increased amount of thiamin and niacin.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.11b
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• pp.300-306
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• 2000

This paper introduces a new concept of automation for bio-production with tele-operative system. The proposed system showed practical and feasible way of automation for the volatile bio-production process. Based on the proposition, recognition of the job environment with object identification was performed using computer vision system. A man-machine interactive hybrid decision-making, which utilized a concept of tele-operation was proposed to overcome limitations of the capability of computer in image processing and feature extraction from the complex environment image. Identifying watermelons from the outdoor scene of the cultivation field was selected to realize the proposed concept. Identifying watermelon from the camera image of the outdoor cultivation field is very difficult because of the ambiguity among stems, leaves, shades, and especially fruits covered partly by leaves or stems. The analog signal of the outdoor image was captured and transmitted wireless to the host computer by R.F module. The localized window was formed from the outdoor image by pointing to the touch screen. And then a sequence of algorithms to identify the location and size of the watermelon was performed with the local window image. The effect of the light reflectance of fruits, stems, ground, and leaves were also investigated.