• Journal of the Ergonomics Society of Korea
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• v.26 no.1
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• pp.71-77
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• 2007

Shoe's size and shape are determined by the last that takes shape of foot because last is the mold of shoe in development and manufacturing process. Then adaptation between foot and shoe is dependent on the last. In mass shoe production, model size is developed in the first place, other sized lasts are made through the grading process based on model size. The most important factor in grading system is grading deviation that must be same amount induced from foot measuring database. At present, most of the last manufacturing companies in korea using 260mm as a standard foot model size. When length grading deviation is 5mm, the ball girth grading deviation is 3.7mm and the ball width grading deviation is 1.2mm. I verified existing grading system by comparing grading results with foot measuring data. Also, I proposed reasonable grading deviation and application method of grading system. From the analysis of foot measuring database, reasonable grading deviations are 1.22mm in ball width and 0.84mm in ankle height in case of length grading deviation is 5mm. I confirmed that the current grading system is very accurate. When we grade last from 230mm to 290mm by current grading system based on model size 260mm, there is grading error over 1mm in the front outside area of foot. This error level of 1mm is no problem in normal walking shoe's last, but it induces adaptation problems in sports and special purposed shoe's last. Therefore using of three standard model size is recommended in grading men's last for reducing grading deviation error under the level of 1mm. It is specifically described as 235mm in 225-245mm, 260mm in 250-270mm, 285mm in 275-295mm. According to the above recommended grading system, it is enough to measure only three foot sizes in case of foot measuring project for men's last development.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.237-245
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• 2001

Automated essay grading has been proposed for over thirty years. Only recently have practical implementations been constructed and tested. This paper investigated the role of the nearest-neighbour algorithm within the information retrieval as a way of grading the essay automatically called Automated Essay Grading System. It intended to offer teachers an individualized assistance in grading the student\`s essay. The system involved several processes, which are the indexing, the structuring of the model answer and the grade processing. The indexing process comprised the document indexing and query processing which are mainly used for representing the documents and the query. Structuring the model answer is actually preparing the marking scheme and the grade processing is the process of assessing the essay. To test the effectiveness of the developed algorithms, the algorithms are tested against the History text in Malay. The result showed that th information retrieval and the nearest-neighbour algorithm are practical combination that offer acceptable performance for grading the essay.

• Proceedings of the KSME Conference
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• 2001.06c
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• pp.140-145
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• 2001

Lasting machines for shoe manufacturing are continuously developed with the aid of automation and Computer Aided Manufacturing (CAM). Adaptive lasting machine and CAD data of a shoe last are inevitably introduced for the labor-free manufacturing process. Recently, method for the CAD datarization of a shoe last is suggested using finite element mesh system. Initial set up data and control data of machine parts are required for the adaptive lasting machine. For the efficient process, grading of those data is essential to minimize data storage and production costs. In this paper, bonding lines are extracted from the CAD data of a shoe last and graded by the geometric grading system. Tension spline method is adopted for the interpolation of last CAD data. The results are compared with the results from the arithmetic grading system that is widely adopted in the shoemaking companies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.363-366
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• 2001

The present process of grading leather quality by the rare eyes is not reliable. Because inconsistency of grading due to eyes strain for long time can cause incorrect result of grading. Therefore it is necessary to automate the process of grading quality of leather based on objective standard for it. In this paper, leather automatic classification system consists of the process obtaining the information of leather and the process grading the quality of leather from the information. Leather is graded by its information such as texture density, types and distribution of defects. This paper proposes the algorithm which sorts out leather information like texture density and defects from the gray-level images obtained by digital camera. The density information is sorted out by the distribution value of Fourier spectrum which comes out after original image is converted to the image in frequency domain. And the defect information is obtained by the statistics of pixels which is relevant to Window using searching Window after sort out boundary lines from preprocessed images. The information for entire leather is used as standard of grading leather quality, and the proposed algorithm is practically applied to machine vision system.

• Journal of the Korean Home Economics Association
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• v.40 no.11
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• pp.1-9
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• 2002

Nowadays, the use of apparel CAD system is important to the mass production of ready to wear Especially, computer-based grading is the most important process to improve the fitness of clothes and to reduce the time needed to make patterns of several sizes. The purpose of this study was to suggest a standard sizing system for junior-high school girls' lower clothes and to suggest a grading method according to the sizing systems. The subjects were 402 junior-high school girls of 13 to 15 year's-old. The size intervals of waist girth and hip girth were 3㎝ and 4㎝ respectively. The sizing system, which had frequencies more than 4.5%, was classified 8 cases. For regular grading, two types of group were classified into 58-82/61-86/64-90/67-94 and 61-82/64-86/67-90/70-94. Among them, 61-86 and 64-86 size were adopted the basic size for the development of grading. According to the sizing system, hand-made patterns were manufactured. By measure of the each part of the slacks, new grading rule patterns were developed by each size. A new grading rule was different from the Moonwha grading rule. This result will contribute to clothing fitness of consumer and the amount of production.

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.267-274
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• 2014

Even though computer based college lecture management system was developed long ago and has been used ever since, developing perfect lecture management is not simple. The main objective of this system is to develop appropriate online lecture supportive management program suitable for college lectures. This system [ADLEMS] mainly focuses on the management of college database lectures, exams, and grades. This system supports management and grading of attendance, reports, quizzes, mid-term, and final exams. Exam management categorizes into multiple choice questions, essay questions, short answer questions, and SQL. Especially for SQL, division analysis was applied when developing grading system for more effective grade management. For essay questions and short answer questions, manual [hand] grading method was used. Every student can verify the grading process in person to alleviate the problems occurring during the grading process.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.746-754
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• 1996

Grading and sorting fresh cut flowers are time consuming process. In Korea, cut flowers are sorted mostly by human inspection due to the lack of adequate machinery. In this paper, quality evaluation factors of cut flowers are discussed, and types of sorting machines existing in the market are introduced . Aspects of computer image processing in evaluation the quality of cut flowers are also discussed.

• Journal of Korean Society on Water Environment
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• v.36 no.3
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• pp.245-254
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• 2020

Water quality improvement projects are being implemented without predicting the effect of water quality improvement on Lake Sapgyo. As the method of selecting the target stream for the effective conduct of water quality improvement projects the method of rating the streams were studied. To build a stream grading method, 60 major streams in the Lake Sapgyo system were monitored. The selection method of rivers subject to priority management for water quality improvement was applied to the stream grading method using the Analytic Hierarchy Process (AHP). The analysis of importance by site by stream grading method revealed the following: water quality (36.0%), flow (26.1%), travel load (13.4%), TMDL density (12.0%), TMDL (8.9%), and area (3.7%). The pollution level of the river was scored by using the stream grading method, and the ranking of 51 streams was calculated. Based on this, the group was classified into six grades (A-F). Among the groups, the F and E groups were selected as the priority management streams. Cheonan-Cheon (Cheonan City) was selected as the first stream to establish water quality improvement measures in the Lake Sapgyo system, and Seowoo-Cheon (Dangjin City) was selected as the second site, and Oncheon-Cheon (Asan City) was selected as the third site. Each local government is expected to improve the water quality improvement effect with limited resources when establishing and implementing water quality improvement measures for the streams (F group, E group) to be managed in this study.

• Fashion & Textile Research Journal
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• v.6 no.5
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• pp.634-640
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• 2004

Nowadays, the use of apparel CAD system is important to the mass production of ready to wear. Especially, computer-based grading is the most important process to improve the fitness of clothes and to reduce the time needed to make various size pattern. The purpose of this study was to suggest a standard sizing system for high school boys' pants and to suggest a grading method according to the sizing systems. The subjects were 217 high school boys of 16 to 18 year-old. The size intervals of waist girth and hip girth were 3 cm and 4 cm respectively. The sizing system, which had frequencies more than 4%, was classified 8 cases. Among them, 71-92 and 71-88 size were the most frequent size and were adopted the basic size for the two types of grading. According to the sizing system, hand-made patterns were manufactured. By measure of the each part of the slacks, 4 size's new grading-rule patterns were developed by each size. This result will contribute to clothing fitness of consumer and the amount of production.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.607-614
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• 1996

A computer vision based automatic intelligent sorting system for dried oak mushrooms has been developed. The developed system was composed of automatic devices for mushroom feeding and handling, two sets of computer vision system for grading , and computer with digital I/O board for PLC interface, and pneumatic actuators for the system control. Considering the efficiency of grading process and the real time on-line system implementation, grading was done sequentially at two consecutive independent stages using the captured image of either side. At the first stage, four grades of high quality categories were determined from the cap surface images and at the second stage 8 grades of medium and low quality categories were determined from the gill side images. The previously developed neuro-net based mushroom grading algorithm which allowed real time on-line processing was implemented and tested. Developed system revealed successful performance of sorting capability of approximate y 5, 000 mushrooms/hr per each line i.e. average 0.75 sec/mushroom with the grading accuracy of more than 88%.