• Journal of Fashion Business
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• v.8 no.6
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• pp.78-89
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• 2004

With 100 collegians residing in Busan, a shoes wearing survey was held. Out of the subjects, 50 women collegians showing some interest in fashion sneakers were chosen to reveal the effects of shoes size changes on walking patterns and wearing sense. This study focused on the fitness of sneakers produced the following results: 1. Survey Results of Shoes Wearing The subjects had some room in wearing sneakers or athletic shoes, including $20{\sim}30mm$ (33%). Just 25% of the subjects reported about the experience of falling, and 67.6% had difficulty walking on downhills. 50% felt feet fatigue difference when wearing fitting and unfitting shoes. 2. Analysis of Walking Patterns & Survey Results of Wearing Sense No significance was found among shoes sizes in left and right step angles. Step width measurement revealed no significance among shoes sizes. Significance ($p{\le}.05$) existed among shoes sizes in steps and strides. Significance ($p{\le}.001$) was noticed among shoes sizes in wearing sense.

• Journal of the Korean Home Economics Association
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• v.36 no.7
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• pp.97-110
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• 1998

The purpose of this study was to examine the use and purchase patterns, design and satisfaction degree, and desired performance of boardsailing suits. The subjects were 266 boardsailing athletes and lovers. The results were as follows; (1) The demand of boardsailing suits for spring and autumn was larger than that for the other seasons. (2) The order of influencing power in purchasing boardsailing suits was fitness, textile material, design, color, cost, and brand. (3) Preference of design was one piece style and preference of pattern was character pattern. Additionally, the study on Korean patterns was demanded for international games like Olympics. (4) The order of satisfaction degree of currently used boardsailing suits was activity, size, design, material, sewing, color, pattern, and ease of wearing and taking off. (5) For the performance of boardsailing suits materials, the estimated values of absorbency, water repellency, dye fastness, biological resistance, weight, handle, air permeability, durability, and elasticity were much lower than the importance values.

• Journal of Fashion Business
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• v.10 no.6
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• pp.91-109
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• 2006

This study aims at strengthening the national competitiveness of Korea's clothing industry as it provides substantial information on the human body proportion and proportional dimension standards for Chinese women and improves the fitness of clothing, considering human proportion in the production of clothing products for export to China. This study selected by simple random sampling Chinese women in Beijing and Shanghai, China, whose age is between 19-50 from June 23 to August 7, 2004. The stature of the average Chinese woman belonging to the High Frequency group is 7.09 times as long as the length of the head. We developed the body proportional dimension standards with the same proportion with High-Frequence group. The basic size of proportional dimension standards for Chinese women has the stature of 159cm, (chest circumference)/2 of 42.8cm.

• Structural Engineering and Mechanics
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• v.60 no.6
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• pp.1093-1117
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• 2016

Global sensitivity analysis (GSA) has been widely used to investigate the sensitivity of the model output with respect to its input parameters. In this paper a new single-solution search optimization algorithm is developed based on the GSA, and applied to the size optimization of truss structures. In this method the search space of the optimization is determined using the sensitivity indicator of variables. Unlike the common meta-heuristic algorithms, where all the variables are simultaneously changed in the optimization process, in this approach the sensitive variables of solution are iteratively changed more rapidly than the less sensitive ones in the search space. Comparisons of the present results with those of some previous population-based meta-heuristic algorithms demonstrate its capability, especially for decreasing the number of fitness functions evaluations, in solving the presented benchmark problems.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.16-26
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• 2024

Mobile edge computing (MEC) plays a crucial role in improving the performance of resource-constrained mobile devices by offloading computation-intensive tasks to nearby edge servers. However, existing methods often neglect the critical consideration of future task requirements when making offloading decisions. In this paper, we propose an innovative approach that addresses this limitation. Our method leverages recurrent neural networks (RNNs) to predict task sizes for future time slots. Incorporating this predictive capability enables more informed offloading decisions that account for upcoming computational demands. We employ genetic algorithms (GAs) to fine-tune fitness functions for current and future time slots to optimize offloading decisions. Our objective is twofold: minimizing total processing time and reducing energy consumption. By considering future task requirements, our approach achieves more efficient resource utilization. We validate our method using a real-world dataset from Google-cluster. Experimental results demonstrate that our proposed approach outperforms baseline methods, highlighting its effectiveness in MEC systems.

• The Journal of Korean Academy of Prosthodontics
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• v.46 no.2
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• pp.185-192
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• 2008

Purpose: This study was designed to investigate the fitness of adjustable dental impression trays on the Caucasian and African American. Material and methods: The size and shape of these trays were designed from the results of the dental arch size of Korean adults. Tray samples were made by CAD-CAM working. Sixty Caucasian (male:30, female:30) and sixty African American (male:30, female:30) were selected for taking irreversible hydrocolloid impression using these trays. The author measured the width and length of impression material on the several measuring points. Results: 1. Uniform impression material width was achieved by controling the width of the tray using stops and beveled guides. 2. In the maxillary tray on the Caucasian, the impression material thickness was measured to be rather great showing thickness of the midpalatal part 13.0 mm. 3. In the maxillary tray on the African American, the impression material thickness was measured to be rather great showing thickness of the midpalatal part 12.0 mm, posterior palatal part 11.0 mm and the labial frenum width was 11.0 mm. 4. In the maxillary tray on the African American, the impression material width of posterior border (0.8 mm) was measured to be small. 5. In the mandibular tray on the Caucasian, the impression material width was measured (2.7-6.7 mm) and posterior border width (2.1 mm) was measured small. The impression material length was measured (2.8-6.7 mm). 6. In the mandibular tray on the African American, the impression material width was measured to be rather great showing width of the labial frenum 9.2 mm and the width of posterior border was measured too small (0.3 mm). Conclusion: This adjustable dental tray shows good accuracy to Korean because it was designed by the analysis of the dental arch size of Korean adult model. With this result, it can be applied to Caucasian and African American, we can take more easy and accurate dental impressions.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.525-531
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• 2020

In today's IT environment where various pieces of information are distributed in large volumes, recommendation systems are in the spotlight capable of figuring out users' needs fast and helping them with their decisions. The current recommendation systems, however, have a couple of problems including that user preference may not be reflected on the systems right away according to their changing tastes or interests and that items with no relations to users' preference may be recommended, being induced by advertising. In an effort to solve these problems, this study set out to propose a Fuzzy-AHP-based movie recommendation system by applying the BRNN(Bidirectional Recurrent Neural Network) language model. Applied to this system was Fuzzy-AHP to reflect users' tastes or interests in clear and objective ways. In addition, the BRNN language model was adopted to analyze movie-related data collected in real time and predict movies preferred by users. The system was assessed for its performance with grid searches to examine the fitness of the learning model for the entire size of word sets. The results show that the learning model of the system recorded a mean cross-validation index of 97.9% according to the entire size of word sets, thus proving its fitness. The model recorded a RMSE of 0.66 and 0.805 against the movie ratings on Naver and LSTM model language model, respectively, demonstrating the system's superior performance in predicting movie ratings.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.43-51
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• 2022

In this paper, we suggest the method to improve the existing method leaning context-free grammar(CFG) using tabular representation(TBL) as a chromosome of genetic algorithm in grammatical inference and show the more efficient experimental result. We have two improvements. The first is to improve the formula to reflect the learning evaluation of positive and negative examples at the same time for the fitness function. The second is to classify partitions corresponding to TBLs generated from positive learning examples according to the size of the learning string, proceed with the evolution process by class, and adjust the composition ratio according to the success rate to apply the learning method linked to survival in the next generation. These improvements provide better efficiency than the existing method by solving the complexity and difficulty in the crossover and generalization steps between several individuals according to the size of the learning examples. We experiment with the languages proposed in the existing method, and the results show a rather fast generation rate that takes fewer generations to complete learning with the same success rate than the existing method. In the future, this method can be tried for extended CYK, and furthermore, it suggests the possibility of being applied to more complex parsing tables.

• Journal of the Korean Society of Costume
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• v.60 no.8
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• pp.67-85
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• 2010

School uniform has improved greatly in terms of fit, size, function, and design due to steep competition in the market and the strong interest of researcher, while little effort has been made for physical training uniform, so the objective of this study is to provide basic research data of the training uniform for the improvement of its design and fitness. For this purpose, 327 high school girls provided information on size and design of their uniform, level of satisfaction, the recognized ease in uniform. Most students wore the physical training uniform in another classes and the long sleeved shirt were the most popular one. They often used the uniform for the protection from cold and for comfortable activeness. For a long sleeved shirt, most students preferred raglan sleeve, zip-up collar, straight waist line, and ribbed sleeve cuffs and hem. For long pants, students preferred elastic waist band and ribbed pants cuffs. Currently, the short-sleeved shirt mostly had a shirts collar, ribbed hem, straight waist line with raglan sleeve, but students wanted a round neck and set-in sleeve. For overall level of satisfaction, students showed high satisfaction in terms of function and psychological effect, while aesthetic quality of the uniform was needed to be much improved. Most students evaluated that the circumference of uniforms properly fit or had a little ease, and students considered waist size the most suitable. The long pants length evaluated properly fit or a little long. Students accepted that the ease of summer uniform was more suitable than winter uniform's both at circumference and at length. Depending on students' height distribution, the length of long pants and short pants varied significantly.

• The Research Journal of the Costume Culture
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• v.23 no.5
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• pp.778-792
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• 2015

The purpose of this study is to identify women (aged from 49~59), who have recently emerged as consumers, and their clothing preferences, and it suggests how to make jackets provide better fit and wearability. The results of the study are as follows. In drafting a pattern for size 66 tailored collar jacket with an X-silhouette, it was made with front waist length measuring B/4+1.5 cm, a back length of B/4+1.3 cm, an armhole depth of B/4, a hip ease of H/4+1.2 cm and a sleeve opening of 34.5 cm, to allow for easy movement. In drafting a size 66 high neck collar jacket, it was made with a front and back waist length measuring B/4+1.5 cm, an armhole depth of B/4, a hip ease of H/4+1.2 cm and a sleeve opening of 35 cm. In drafting a size 66 sports collar jacket with an A-silhouette, it was made with front and back waist lengths measuring B/4+1.5 cm, an armhole depth of B/4, and a side dart of 1.3 cm, to provide raglan sleeves. The last experimental jacket pattern improved the appearance and moving fitness evaluation especially for shoulder and arm movement. Based on analysis, jackets were made and subjected to an appearance evaluation using multi-modules to test the level of wearing satisfaction for each fabric and silhouette. the results of the multi-module wearing tests indicate that the preferred silhouettes caused less stressful situations in terms of both psychological and physiological signals.