• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.689-699
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• 2016

As the demand for LCD increases, the importance of inspection equipment for improving the efficiency of LCD production is continuously emphasized. The pattern inspection apparatus is one that detects minute defects of pattern quickly using optical equipment such as line scan camera. This pattern inspection apparatus makes a decision on whether a pixel is a defect or not using a single threshold value in order to meet constraint of real time inspection. However, a method that uses an adaptive thresholding scheme with different threshold values according to characteristics of each region in a pattern can greatly improve the performance of defect detection. To apply this adaptive thresholding scheme it has to be known that a certain pixel to be inspected belongs to which region. Therefore, this paper proposes a region matching algorithm that recognizes the region of each pixel to be inspected. The proposed algorithm is based on the pattern matching scheme with the consideration of real time constraint of machine vision and implemented through GPGPU in order to be applied to a practical system. Simulation results show that the proposed method not only satisfies the requirement for processing time of practical system but also improves the performance of defect detection.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.3
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• pp.73-78
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• 2001

BP neural network model and multiple-regression model were composed for forecasting the special-days load. Special-days load was forecasted using that neural network model made use of pattern conversion ratio and multiple-regression made use of weekday-change ratio. This methods identified the suitable as that special-days load of short and long term was forecasted with the weekly average percentage error of 1∼2[%] in the weekly peak load forecasting model using pattern conversion ratio. But this methods were hard with special-days load forecasting of summertime. therefore it was forecasted with the multiple-regression models. This models were used to the weekday-change ratio, and the temperature-humidity and discomfort-index as explanatory variable. This methods identified the suitable as that compared forecasting result of weekday load with forecasting result of special-days load because months average percentage error was alike. And, the fit of the presented forecast models using statistical tests had been proved. Big difficult problem of peak load forecasting had been solved that because identified the fit of the methods of special-days load forecasting in the paper presented.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.2
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• pp.15-28
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• 2017

Today, modern people are exposed to various environmental pollutants such as harmful substances and stress, which can compromise health. Therefore, a healing culture that seeks to enjoy human life based on the healing of body and mind is attracting great attention. The purpose of this study is to develop environmentally friendly natural dyeing considering a healing concept with four elements: color, dye, material, and pattern. The research methods and scope are based on a theoretical review of healing and research on the literature of bedding related to natural dyes, national and international books, the Internet, etc., and naturally dyed bedding. This paper presents actual production research. The results of this study are as follows. First, the elements of color, dyeing, material and pattern were developed through the process of a bedding design development model that applies a healing concept and can be commercialized as a healing bedding product. Second, a healing color proposal was expressed in an intermediate color system of pink, ocher, lavender, and indigo colors for emotional stability, warmth, calmness, comfort and softness. Third, eco-friendly bedding using natural dyes with medicinal efficacy can obtain the healing effect of the natural treatment method, which can aid healthy sleep. Fourth, the pattern used in the bedclothes was a motif of Sarasa embroidery, flower embroidery, ribbon embroidery, and wave quilting motifs to provide psychological stability as a healing concept in the sleeping environment. The natural healing bedding with the healing concept proposed in this study has natural treatment that is beneficial to human health and the development of bedding with natural dyes will lead to an increase of demand for the sleeping environment.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.16 no.2
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• pp.98-103
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• 2002

In case of power demand forecasting, the most important problems are to deal with the load of special-days. Accordingly, this paper presents the method that forecasting long (the Lunar New Year, the Full Moon Festival) and short(the Planting Trees Day, the Memorial Day, etc) special-days peak load using neural networks and regression models. long and short special-days peak load forecast by neural networks models uses pattern conversion ratio and four-order orthogonal polynomials regression models. There are using that special-days peak load data during ten years(1985∼1994). In the result of special-days peak load forecasting, forecasting % error shows good results as about 1 ∼2[%] both neural networks models and four-order orthogonal polynomials regression models. Besides, from the result of analysis of adjusted coefficient of determination and F-test, the significance of the are convinced four-order orthogonal polynomials regression models. When the neural networks models are compared with the four-order orthogonal polynomials regression models at a view of the results of special-days peak load forecasting, the neural networks models which uses pattern conversion ratio are more effective on forecasting long special-days peak load. On the other hand, in case of forecasting short special-days peak load, both are valid.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.167-178
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• 2020

This study attempted to find out the difference in the patterns of jeogori between commercially available Shinhanbok brands by comparing and analyzing the patterns of the changing Shinhanbok jeogori in consideration of material characteristics, fit, and fastening. After purchasing and disassembling 6 products, analysis was conducted with the disassembly pattern. As a result of analyzing the shape of the jeogori, the 1st, 3rd and 6th brands showed no darts. In the case of the 5th brand, the three-dimensional effect of the human body was expressed with a princess line. As a result of the appearance evaluation, the 5 brands were evaluated as the highest in most items except for the space of the front width and the group wrinkles of back sleeve armhole, and the appearance was analyzed to be the best. As a result of evaluating the clothing pressure, it was analyzed that the chest circumference of the first brand was smaller than that of the other brands, and the shoulder width and shoulder length were also shorter, and pulling occurred even after wearing. As the demand for new hanbok increases, it is believed that it is necessary to establish a size system for ready-made clothes.

• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.275-283
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• 2018

Cancer show distinct pattern of gene expression when it is compared to normal. This difference results malignant characteristic of cancer. Many cancer drugs are targeting this difference so that it can selectively kill cancer cells. One of the recent demand for personalized treating cancer is retrieving normal tissue from a patient so that the gene expression difference between cancer and normal be assessed. However, in most clinical situation it is hard to retrieve normal tissue from a patient. This is because biopsy of normal tissues may cause damage to the organ function or a risk of infection or side effect what a patient to take. Thus, there is a challenge to estimate normal cell's gene expression where cancers are originated from without taking additional biopsy. In this paper, we propose in-silico based prediction of normal cell's gene expression from gene expression data of a tumor sample. We call this challenge as reverting the cancer into normal. We divided this challenge into two parts. The first part is making a generator that is able to fool a pretrained discriminator. Pretrained discriminator is from the training of public data (9,601 cancers, 7,240 normals) which shows 0.997 of accuracy to discriminate if a given gene expression pattern is cancer or normal. Deceiving this pretrained discriminator means our method is capable of generating very normal-like gene expression data. The second part of the challenge is to address whether generated normal is similar to true reverse form of the input cancer data. We used, cycle-consistent adversarial networks to approach our challenges, since this network is capable of translating one domain to the other while maintaining original domain's feature and at the same time adding the new domain's feature. We evaluated that, if we put cancer data into a cycle-consistent adversarial network, it could retain most of the information from the input (cancer) and at the same time change the data into normal. We also evaluated if this generated gene expression of normal tissue would be the biological reverse form of the gene expression of cancer used as an input.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.3
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• pp.11-20
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• 2022

Currently, the black-white QR (Quick Response) codes have been used widely in consumer advertising fields and the study of color QR codes have received a growing demand because of much higher data encoding capacity. Color QR codes can be reproduced by the printing and scanning processes, however, these encounter colors distortion caused by insufficient lighting, low resolution of camera and geometric deformation during the capturing processes. In order to overcome these problems, this paper proposes an efficient decoding algorithm for color QR codes with inserted patterns, which are dealt with conventional studies. These are evaluated in view of the recognition rate under different noise conditions, for example, Gaussian noises/blurring and geometric deformation. Experimental results demonstrate that the color QR codes with simple pattern can resist the distortion of Gaussian noises/blurrings.

• Journal of Biomedical Engineering Research
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• v.44 no.6
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• pp.392-403
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• 2023

This study presents a new hybrid fNIRS-EEG system to meet the demand for a lightweight and low-cost sleep pattern monitoring device. For multiple-channel configuration, a six-channel electroencephalogram (EEG) and a functional near-infrared spectroscopy (fNIRS) system with eight photodiodes (PD) and four dual-wavelength LEDs are designed. To enhance the convenience of signal measurement, the device is miniaturized into a patch-like form, enabling simultaneous measurement on the forehead. Due to its fully integrated functionality, the developed system is advantageous for performing sleep stage classification with high-temporal and spatial resolution data. This can be realized by utilizing a two-dimensional (2D) brain activation map based on the concentration changes in oxyhemoglobin and deoxyhemoglobin during sleep stage transitions. For the system verification, the phantom model with known optical properties was tested at first, and then the sleep experiment for a human subject was conducted. The experimental results show that the developed system qualifies as a portable hybrid fNIRS-EEG sleep pattern monitoring device.

• Health Policy and Management
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• v.7 no.1
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• pp.55-72
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• 1997

The purpose of this study is to analyze the consumers' demand pattern and the feature of the market for nursing homes, the number of which is tending upwards. The survey data were obtained from the interview of 500 elderly people living in Seoul and Kyung-Ki provincial area. All respondents were 60 years of age and above. The main findings were summarized as follows: 1. The respondents who are less aged, highly educated comparatively, and living with spouse show positive response for the use of nursing homes. The aged living independently and the aged living with unmarried children show higher demand for this facility. Also, the respondents who prefer independent living away from their childrenn, urban areas as their residence and flat-type housing show more interest for the facility. The respondents who are self- supportive, who has no financial supporter, no caretaker, and no domestic helper demonstrate strong inclination to the use of the facility. The respondents who are interested in this kind of facility, acknowledge the necessity of it show strong intention of moving into it. 2. Logistic regression analysis was conducted to understand factors related to the intention of moving into the nursing homes. The group who wish to live separated from their children in the future give 1.78 times more favorable response than the opposite. The group who have an interest in the facility for elderly has 2.02 times higher intention of moving than the opposite. The group who have an intention of using the facility for elderly it is 7.34 times more likely to move into it. 3. The respondents who are the potential consumers for nursing homes can be subdivided. Within the positive group, it could be divided into the group of living independently with the preference of flat-type housing, the group living independently with the preference of separate housing, and the group wishing to live with their children. Within the negative group, the factor of the division is their concern to the facility. Following this study, it can be said that old age people, who have been regarded as one homogeneous group so far, should be recognized as one characteristic individual. This study also shows that the demand aspect yet in its initial stage shold be researched in anticipation of rapid increase. The understanding of diciding factors, the segmentation of potential market will help work out proper strategy, which will contribute to providers' benefit.

• Journal of Korean Society of Transportation
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• v.25 no.3
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• pp.137-144
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• 2007

This study involves an analytical approach to determine transit dispatching schedules (headways) Determining a time schedule is an important process in transit system planning. In general, the transit headway should be shorter during the peak hour than at non-peak hours for demand-responsive service. It allows passengers to minimize their waiting time under inelastic, fixed demand conditions. The transit headway should be longer as operating costs increase, and shorter as demand and waiting time increase. Optimal headway depends on the amount of ridership. and each individual vehicle dispatching time depends on the distribution of the ridership. This study provides a theoretical foundation for the dispatching scheme consistent with common sense. Previous research suggested a dispatching scheme with even headway. However, according to this research, that is valid for a specific case when the demand pattern is uniform. This study is a general analysis expanding that previous research. This study suggests an easy method to set a time table without a complex and difficult calculation. Further. if the time axis is changed to the space axis instead, this study could be expanded to address the spacing problems of some facilities such as roads. stations, routes and others.