• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1993.10a
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• pp.1346-1353
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• 1993

Recently , it has been popular for family use to sell a watermelon by the piece such as a half or a quarter. Therefore, it has been necessary to detect and sort out hollow or overripened watermelons before they are shipped. Previously, inspection and rejection of hollow or overripened watermelons were carried out by skilled inspectors with their experience and intuition based on the traditional slapping method. In recent years many inspectors have became older and are going to retire. Thus automatic quality measuring devices have to be developed. There are many reports on the measurement of internal quality for watermelons with non-destructive methods. However, there is no online device to detect and measure both hollow and ripeness of watermelons until now. We have developed the model MWA-9002 online device to detect hollow and measuring the ripeness of watermelons by acoustic impulse. The developed of this devices has enables accurate distinction and rejection at the same level of the skilled inspectors, and also has saved labor. Nowadays nine automatic watermelon sorting and packing facilities applied this device have installed in Japan.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.22 no.9
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• pp.833-839
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• 2011

This paper has suggested a technique for measuring VSWR at 1.8 GHz band for various modulated signals. By using directional coupler the power of incident and reflected wave is measured, and in order to minimize the size and cost of the measuring circuit, a SPDT(Single Pole Double Throw) switch is adopted to realize the circuit with just one detector and one A/D(Analog to Digital) converter. MCU(Micro Control Unit) is used to calculate the voltage reflection coefficient and VSWR, and the measured VSWR error has improved by approximately 0.2 with applying a simple bubble sorting algorithm to reduce the measurement error, the MCU process time and load.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.52 no.2
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• pp.88-95
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• 2016

Most grid sorting has been used to sort out flatfish in shrimp fisheries, while double grid systems have been tested to separate smaller shrimp. The escape of juvenile red seabream through separating panels made with steel grids or large mesh tested for masking effects in a two-species system. Fish behavior was observed in a circulating water tank. The escape rate was 20% greater with the separating codends than with the normal codend in the single-species experiments. The rates in the two-species experiments were 30% or 20% greater than the single-species rates for the normal or separating codends, respectively. The seabream retention rates in the grid separator codend decreased as rockfish retention increased, possibly due to a threat effect. Conversely, the retention rate of both species increased concurrently in the net separator, possibly due to a masking effect. The escape rates of juvenile red seabream varied by compartment in the mesh separating codend. These results suggest that grid separating codends can be used in the field as towed fishing gear to reduce juvenile catch.

• Journal of Distribution Science
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• v.14 no.12
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• pp.5-21
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• 2016

Purpose - This study aims to clarify the meanings of small enterprise and modify criteria for explaining its range. Prioritizing the number of full time workers first and the sales next are proper as a new concept and range. Research design, data, and methodology - In research, 'small company' is a basic concept because the range of its standard is categorized as a 'small company' in the policy system of small & medium business. This study focuses on the solutions with ① evaluation on sales, ② standard for excluded ones ③ regulation for excluded business types in 'Act on Protection and Support for Small Enterprise'. Results - Clarifying the range of standard with maintaining the title is advisable. The scope should resist the current criteria or adopt a new standard which contains not only full time workers but also the sales. The new one may raise the policies' effectiveness because it can sort the 1% people of small enterprises. Conclusions - However, there should be a preventive system for sorting out the non-eligible ones not conformed to the CAP for small company. Therefore, it is desirable to prepare the system with 'unsuitable ones list' or regulate large income·inappropriate business types in 'Act on protection and support for small enterprise'.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.271-281
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• 2022

Manual seed classification challenges can be overcome using a reliable and autonomous seed purity identification and classification technique. It is a highly practical and commercially important requirement of the agricultural industry. Researchers can create a new data mining method with improved accuracy using current machine learning and artificial intelligence approaches. Seed classification can help with quality making, seed quality controller, and impurity identification. Seeds have traditionally been classified based on characteristics such as colour, shape, and texture. Generally, this is done by experts by visually examining each model, which is a very time-consuming and tedious task. This approach is simple to automate, making seed sorting far more efficient than manually inspecting them. Computer vision technologies based on machine learning (ML), symmetry, and, more specifically, convolutional neural networks (CNNs) have been widely used in related fields, resulting in greater labour efficiency in many cases. To sort a sample of 3000 seeds, KNN, SVM, CNN and CNN-SVM hybrid classification algorithms were used. A model that uses advanced deep learning techniques to categorise some well-known seeds is included in the proposed hybrid system. In most cases, the CNN-SVM model outperformed the comparable SVM and CNN models, demonstrating the effectiveness of utilising CNN-SVM to evaluate data. The findings of this research revealed that CNN-SVM could be used to analyse data with promising results. Future study should look into more seed kinds to expand the use of CNN-SVMs in data processing.

• Resources Recycling
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• v.27 no.1
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• pp.31-37
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• 2018

To enhance the recycling rate of used metal resources, it is strongly desired to develop a metal sorting system that can automatically identify metal type from mixed metal scraps and sort them separately. Laser-induced breakdown spectroscopy(LIBS) is a technique that enables real time classification of different metals based on multi-elemental and in-air analysis. In this work, we report the results of LIBS elemental analysis of field scrap samples acquired from a recycling company. By applying multivariate analysis, it was found that the LIBS signals of five different metals could be perfectly classified if surface contamination was removed. The classification accuracy degraded for LIBS signals including contaminant emission, which however could be overcome by performing the multivariate analysis using properly selected emission lines of higher correlation only. The significant improvement in classification accuracy and process speed by the selection of proper emission lines demonstrated the feasibility of LIBS technique as an industrial tool for metal scrap sorting.

• 한국체육학회지인문사회과학편
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• v.54 no.1
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• pp.597-609
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• 2015

The purpose of this research is to analyze requirements for sports for all of the intellectually handicapped and their characteristics. Subjects for this study consisted of 33 undergraduate students who belonged to the department of physical education in P University. The Q-population a total of 28 people were selected including 16 handicapped college students from P welfare center and 12 members from the vocational adjustment class. The card used in Q sort was 27 categories of sports for all suggested by the korea Paralympic Committee. The result of Q-sorting were coded and analysed using QUANL pc program. According to the research result, Firstly, the requirement types of sports for all of the intellectually handicapped revealed to be four types(The eigen values of the five types of attitudes are 5.6, 2.3, 1.9, and 1.7): Secondly, the characteristics for each five types were determined to be experiential-value Pursuing type(type 1), interest-value pursuing type(type 2), purpose0orientation pursign type(type 3) and Safety-oriented pursuing type(type 4). Through the characteristics of each of the five types. Such results of the research suggest that the demand of the mentally ills for sports for all can be diverse and there can be a variety of types based on the background factors.

• The Korean Journal of Community Living Science
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• v.19 no.3
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• pp.419-429
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• 2008

This study was conducted to analyze the characteristics of women's body somatotypes by direct measurements. Through the classification of degree of obesity and silhouette, women in their 20s who have a great interest in body somatotype can grasp their real somatotype and recognize their obesity rate and silhouette easily. The results are as follows: 1. Average sizes of subjects for this study were: height 160.3cm, weight 52.2kg, bust 83.7cm, waist 65.7cm, hips 91.1cm. And average values of each body mass index were: BMI 20.3, Rohrer Index 1.27, Vervaeck Index 84.8. 2. For the BMI value, the Average Numeric Index of normal somatotype was the highest, 76.9%. The Rohrer Index of underweight somatotype was 34.3% and the Average Numeric Index was 1.12. In the Vervaeck Index, underweight somatotype was 35.7%, and the average Numeric Index was 79.1, while the overweight somatotype was 7.4% of the Vervaeck Index and 100.8 of the Average Numeric Index. So the index which had the largest range of normal values from the same subjects, was the BMI, then the Rohrer Index, and finally, the Vervaeck Index in that order. 3. In the result of sorting bodies with silhouettes, when drop value were used to sort, N type (normal somatotype) was 69.4%, H type (one has similar sizes in waist size and hips) was 20.4% and A type (one has big hips) was 10.2% in that order. Among people in their early 20s, A type was 12.1%. H type was high, 22.8%, among women in their late 20s. When Sinozaki's method of classifying body types was used, ideal somatotype was 86.6%, A type was 7.4%, I type was 5.6% and X type was 0.5%. Women in their late 20s showed higher rates of ideal somatotype, the rates of A type and I type were lower than women in their early 20s.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.37-45
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• 2018

The purpose of this study is to analyze the cognizance of North Korean refugee by applying Q methodology, as well as to provide preliminary data for improving North Korean refugee's image. The study process let P sample, the study participants, use Q-sorting methodology to sort Q sample, which is composed of statements. 18 participants sorted 32 statements and 3 types of North Korean refugee cognizance were produced as a result. Those types are 1(N=8), 2(N=6), and 3(N=4), which are type favorable, type whereas negative stereotypical, and type neutralist. Favorable types agreed to ensure North Korean refugee groups' rights as a general protection, whereas negative stereotypical types had strong discrimination and prejudice towards North Korean refugee groups due to lack of related knowledge. Furthermore, neutralist types showed an objection to negative stereotypes against North Korean refugee, but they did not entirely agree to North Korean refugee either. It is necessary to develop a detailed strategy to improve the social image of North Korean refugee.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.527-539
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• 2018

The purpose of this study is to analyze the cognizance of sexual minority by applying Q methodology, as well as to provide preliminary data for improving sexual minority's image. The study process let P sample, the study participants, use Q-sorting methodology to sort Q sample, which is composed of statements from July 1 to 20, 2017. 21 participants sorted 32 statements and 3 types of sexual minority cognizance were produced as a result. Those types are 1(N=8), 2(N=5), and 3(N=8), which are type friendly human rights enthusiast, type whereas negative stereotypical, and type neutralist. Friendly human rights enthusiast types agreed to ensure sex minority groups' rights as a general protection, whereas negative stereotypical types had strong discrimination and prejudice towards sex minority groups due to lack of related knowledge. Furthermore, neutralist types showed an objection to negative stereotypes against sex minorities, but they did not entirely agree to homosexuality either.