• Journal of the Semiconductor & Display Technology
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• v.20 no.4
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• pp.161-166
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• 2021

Errors in the semiconductor process are generated by a change in the state of the equipment, and errors usually arise when the state of the equipment changes or when parts that make up the equipment have flaws. In this investigation, we anticipated that aging of the mass flow controller in the plasma enhanced chemical vapor deposition SiO2 thin film deposition method caused a minute flow rate shift. In seven cases, fourier transformation infrared film quality analysis of the deposited thin film was used to characterize normal and pathological processes. The plasma condition was monitored using optical emission spectrometry data as the flow rate changed during the procedure. Preprocessing was used to apply the collected OES data to the artificial immune system algorithm, which was then used to process diagnosis. Through comparisons between datasets, the learning algorithm compared classification accuracy and improved the method. It has been confirmed that data characterized as a normal process and abnormal processes with differing flow rates may be discriminated by themselves using the artificial immune system data mining method.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.21-32
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• 2022

Image labeling must be preceded in order to perform object detection, and this task is considered a significant burden in building a deep learning model. Tens of thousands of images need to be trained for building a deep learning model, and human labelers have many limitations in labeling these images manually. In order to overcome these difficulties, this study proposes a method to perform object detection without significant performance degradation, even though labeling some images rather than the entire image. Specifically, in this study, low-resolution oriental painting images are converted into high-quality images using a super-resolution algorithm, and the effect of SSIM and PSNR derived in this process on the mAP of object detection is analyzed. We expect that the results of this study can contribute significantly to constructing deep learning models such as image classification, object detection, and image segmentation that require efficient image labeling.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.6
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• pp.696-708
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• 2002

In this paper, a novel transcoding algorithm for the Adaptive Multi Rate(AMR) and the Enhanced Variable Rate Codec(EVRC) vocoders via direct parameter transformation is proposed. In contrast to the conventional tandem transcoding algorithm, the proposed algorithm converts the parameters of one coder to the other without going through the decoding and encoding processes. The proposed algorithm consists of the parameter decoding, frame classification, mode decision, and transcoders for two frame types. The transcoders convert the parameters such as LSP, frame energy, pitch delay for the adaptive codebook, fixed codebook vector, and codebook gains. Evaluation results show that while exhibiting better computational and delay characteristics, the proposed algorithm produces equivalent speech quality to that produced by the tandem transcoding algorithm.

• The Research Journal of the Costume Culture
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• v.15 no.5
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• pp.737-748
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• 2007

Korea is now entering into aging society next to Japan in Asia, which is considered as unusual in the semi-developed countries. More than 50 year-old consumer market is anticipated to grow to 28.7% of the total in 2010 from 20.4% in 2000. In particular, the silver market is estimated to be formed in full range in 2010 when the generation born in 50s and 60s after the Korean War start to retire. In this study, body shapes are classified as standard, obese, and tiny according to the previous studies based on the body shape characteristics and the body measurement of the Elderly Women. Based on the classification, we developed pattern of the panty for the obese Elderly Women to provide basic materials for the quality enhancement of the clothing of the increasing Elderly Women. The followings are the result of the study 1. To categorize the body shapes of the Elderly Women focusing on the lower half, we grouped the target subjects using the nested approach by the average standard deviation and the factor analysis minimal diffusion method. Accordingly, type 1 and 2 had 36 members respectively and type 3 had 43 members. In this study, two Elderly Women subjects with standard body shape falling under the type 1 were selected as the subjects. 2. In the second trial evaluation for the panty pattern for the Elderly Women 32 items for appearance test and 3 items for functional test were evaluated. The scores in leg, sideline and hip were shown high and the balance between the parts was maintained very well. In the functional test, the panty used to be too tight for the leg curve but in the second trial it was improved, too. In each item, the second trial test showed better score than the first trial test. Conclusively, the most optimal panty prototype for the Elderly Women was proposed according to the trial test result.

• Journal of Broadcast Engineering
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• v.5 no.2
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• pp.281-289
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• 2000

While acquiring images, the relative motion between the imaging device and the object scene seriously damages the image quality. This phenomenon is called motion blur. The peak-trace approach, which is our recent previous work, identifies important parameters to characterize the point spread function (PSF) of the blur, given only the blurred image itself. With the peak-trace approach the direction of the motion blur can be extracted regardless of the noise corruption and does not need much Processing time. In this paper stochastic peak-trace approaches are introduced. The erroneous data can be selected through the ML classification, and can be made small through weighting. Therefore the distortion of the direction in the low frequency region can be prevented. Using the linear prediction method, the irregular data are prohibited from being selected as the peak point. The detection of the second peak using the proposed moving average least mean (MALM) method is used in the Identification of the motion extent. The MALM method itself includes a noise removal process, so it is possible to extract the parameters even an environment of heavy noise. In the experiment, we could efficiently restore the degraded image using the information obtained by the proposed algorithm.

• Asian Oncology Nursing
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• v.11 no.1
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• pp.74-82
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• 2011

Purpose: This study was performed to systematically review the recently published nursing intervention studies. Methods: The literature was identified through the Korean Education and Research Information Service (KERIS), the Korean Information Service System (KISS), and National Assembly Library websites. Key words such as breast cancer, nursing, and intervention were used. The factors analyzed are as follows: 1) the characteristics of studies and study populations, 2) the classification of interventions, 3) outcome indicators and their effects, and 4) effective interventions. Results: Thirty two studies were included. Seventeen studies used a single intervention such as aerobic dance, TaiChi, foot massage, aromatherapy, or a stress-reduction method. Fifteen studies used combined interventions, including education, exercise, counseling, support, yoga or meditation. The data on 47 outcome indicators and their effects were segregated into psycho/spiritual outcomes, stress coping, physical outcomes, cardiorespiratory function, symptom management, arm and shoulder functions, fatigue, and quality of life. Some interventions had positive effects on stress, fatigue, and functions of shoulder. Conclusion: Various interventions are available for breast cancer patients, and some have had positive effects. However, more studies are required to develop evidence-based practice guidelines for nursing interventions.

• Journal of the Korea Institute of Building Construction
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• v.10 no.1
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• pp.181-191
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• 2010

Lightweight panels are currently used in many ways, such as inner walls of the skyscrapers and residential buildings in Korea. Moreover there has been an increasing of interest in developing construction method and quality improvement as many buildings became higher, because there are more advantages like constructability, finishability, and economic efficiency, etc. than previous heavy weight concrete wall. It is necessary to analyze the characteristics and evaluate the performance of lightweight panels when selecting proper methods and materials to building characteristics and builder's demand. However, there doesn't exist systematic data with a classification of lightweight panels' type and performance. The purpose of this study is to classify domestic lightweight panels by both type of exterior board and construction method, and also to evaluate each performance by surveying user's opinion.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.1
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• pp.21-27
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• 2017

To guarantee the effectiveness of the HACCP(Hazard analysis and critical control points) system, it is necessary to develop of an ontology-based information system that can automatically manage the large amount of HACCP records or information derived from the HACCP operation results. In this paper, we construct a food information ontology which represents the relationships between ingredients, recipe, and features of food categories. Moreover, we develop HACCP automation application adopt the ontology to verify the semantic quality of the designed ontology model by performing HACCP processes such as HACCP diet classification. We expect to contribute to develop a food hygiene information and improve the accuracy of the HACCP data through the semantic system.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.25 no.4
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• pp.433-445
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• 2015

Objectives: The major objectives of this study are to review the issues surrounding trade secret claims in the Chemicals Control Act and Amendment on Occupational Safety and Health Act(1917-227) and to propose a way of improving the reliability of chemical information in MSDSs, labels and National Chemical Survey results. Materials: To review the issues on trade secret claims, we made an analysis frame which was divided into three steps: Value and Problem Recognition; New Regulation Design; and Enforcement and Amendment. We then compared Korean issues with issues from the United States' Hazard Communication Standard and Emergency Planning & Community Right-to-Know Act, Canada's Workplace Hazardous Materials Information System and Hazardous Materials Information Review Act and the European Union's Regulation on Classification, Labelling and Packaging of substances and Mixtures. Results: The stage of right-to-know development in Korea has passed the Value and Problem Recognition phase, so efforts are needed to elaborately design new regulation. Conclusions: We recommend two ways to improve right-to-know in Korea. First, strict examination of the quality of documents for trade secret claims is very important. Second, trade secrets should be limited to less-hazardous substances.

• Journal of Engineering Education Research
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• v.9 no.4
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• pp.71-82
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• 2006

To accomplish the educational objectives of a department, a system for CQI(Continuous Quality Improvement) is necessary. Improving the educational system by survey analysis is one of the most important factors for accomplishing the educational objectives. In general, survey analysis is carried out by using statistical distribution on an attribute or correlation analysis between two attributes. However, these analysis schemes have a limitation that they cannot find relations among various attributes. In this paper, an in-depth survey analysis method applying data mining techniques is presented. Data mining is a technique for extracting interesting knowledges from a large set of data. Survey from undergraduate students in the School of Computing of Soongsil University is analyzed in this paper by using a data mining tool, called Clementine. Results of Clementine analysis show the relationship between 'grade', and other attributes hierarchically, and provide useful information that can be applied in student consulting and program improvement.