• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.279-281
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• 2006

Recently, the DFSS has been globally used for strengthening the Product Leadership. The importance of Define stage for selecting the theme to maximize the result of such improvement activity Is strongly raised, but the enterprises do face the difficulty to apply In this thesis, the errors on working process of Define stage will be fully examined and also will grope the ways and the process to improve the errors.

• Journal of Korean Society of Forest Science
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• v.53 no.1
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• pp.62-74
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• 1981

The developed record of forest maschines and tools in West Germany, Austria and Swiss, their technical characteristics and the working methods with them have been tried to investigate through the study of literature and observation. The aim of this investigation is to find out and introduce the technical information for training our forest men with them and for improving or developing our forest maschines and tools. Although ax chosen as first report for this aim is the oldest tool in the mankind history, still this is widely using in the forest work. And this has some special working filed that any other maschines could not overcome and sometimes should be recommended in the agronomical sideview. Through this investigation several points could be proposed as the technical informations when we will try to improve our ax 1. Radius of as-face curvature is proposed to be 150 mm and it's central point to be passed at one third point near to ax-eye. 2. Cutting angle is proposed to be $30^{\circ}$, ax-thick at 12 mm distance from ax-face to be 4 mm, thick at 30 mm distance from face to be 5 to 6 mm and ax-face width to be $125{\pm}5mm$. 3. Neck size is proposed to be $3.5{\pm}0.5{\times}5.5{\pm}0.5cm$ with a little curvature and neck thick from ax-house to be more than 1.5 cm. 4. Ax weight is proposed to be 1,000 gr with the stupid back and the sharp front. 5. The handle length of ax will be followed to the arm length of our forest workers.

• Journal of Korean Academy of Nursing
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• v.25 no.3
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• pp.399-418
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• 1995

The purpose of this study was to investigate the stress response of nurses working on psychiatric wards (psychiatric nurses) compared with that of nurses working on general wards (general nurses) in order to provide assessment data for intervention of the stress response. The Symptoms of Stress Inventory was used to measure the stress response. Data were collected by a direct survey method using a questionnaire and were collected from March first to March 30, 1995. A sample of 200 nurses working in three psychiatric hospitals and psychiatric wards in four university hospitals in Seoul and Kangwon province were selected and 200 nurses working on general wards from two general hospitals in Seoul were also selected for a total sample of 400 nurses. Nurses who had experienced more than one of the major life events in the last two years were excluded from the total number in the samples, so the final sample was 161 psychiatric nurses, and 169 general nurses. The Scores for the total stress response, scores of the SOS subscales, stress response by sociodemographic characteristics of the nurses working on the psychiatric wards were compared with those of nurses working on the general ward. The results of this investigation are as follows 1. The mean total SOS score for the psychiatric nurse was 0.81 (SD=0.48) and that of the general nurses was 0.90(SD=0.53). 2. The Mean score for peripheral manifestation, con tral-neurological symptoms, gastrointestinal symptoms, muscle tension, habitual patterns, de-pression, anxiety, anger and cognitive disorganization for the general nurses showed a tendency to be higher than those of the psychiatric nurses. Mean score for cardiopulmonary symptoms for the general nurses was significantly higher than that of the psychiatric nurses. 3. The mean scores for the sixteen SOS items for the general nurses was significantly higher than for the psychiatric nurses. The 16 items were flushing of the face, sweating excessively even in cold weather, thumping of the heart, rapid breathing, dry mouth, a choking lump in the throat, hoarseness, muscle tension in hands or arm, muscle tension in leg, working tiring one out completely, severe aches a핀 Pain make it diffi-cult to do the work, severe nervous exhaustion, worrying about health, feeling weak and faint, so upset that one wants to hit something, unable to keep thoughts from running through one's mind. The mean score of only 505 item were significantly higher for the psychiatric nurses. 4. Stress responses between psychiatric nurses and general nurses were significantly different according to the following demographic characteristics : marriage, duration of work, position, accommodation, planning to move into another working site, working ward, education in psychiatric nursing.

• Explosives and Blasting
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• v.31 no.2
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• pp.32-39
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• 2013

Generally, The way of long hole blasting is carried out in coal-face, basic excavation for dam, mine etc. Recently, this long hole blasting has been implemented in civil engineering for efficiency & economic feasibility. National express no.600 of Pusan outer high-express ${\bigcirc}$ construction site with four lanes of the length of 8km was also a site applied by long hole blasting. But After blasting, tunnel advance rate is less than 75%. As a result of that, Follow-up working time is influenced. Thereby, The total of working process is significantly so increased that planned excavation cannot be implemented many times. For not only improve excavation rate but reduce working process time in job site, we introduce blasting case which apply the ${\phi}36mm$ explosive suited for high desity of charging among long hole blasting in order to overcome mentioned problem.

• Research in Community and Public Health Nursing
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• v.29 no.3
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• pp.267-278
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• 2018

Purpose: This study is to investigate working conditions including job stress among visiting nurses in public health centers in Korea. Methods: An social network based mobile survey was conducted in May 2017 (N=936, response rate: 47.0%). Results: The visiting nurses in this study had their average total career as a nurse is 13.7 years. The 68.3% of them were employed in an indefinite term, 17.0% were hired in a fixed term, and 11.0% came from outsourcing. They responded as high job-stress level including inadequate compensation (71.22/100) and job demands (71.91/100). They experienced down-talk (63.4%), swearwords (32.9%), being made a dirty face (39.9%), sexual jokes (30.8%), or being likened or evaluated with their appearance sexually (14.3%). Among the causes of job related conflicts and discrimination, deprived salary level was the most frequent reason (83.4%). The conflicts and discrimination were incurred by government officers (52.4%). There were no significant differences in overall job stress, emotional labor, organizational commitment, violence, and discrimination experience based on their employment types. Conclusion: The differences in working conditions among the non-regular nurses were trivial, and their overall working conditions were poor. It is necessary to improve non-regular nurses' working conditions in order to make up the limitations of the Korean healthcare system which is centered on hospitals.

• Annals of Clinical Microbiology
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• v.21 no.4
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• pp.69-74
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• 2018

Laboratory medicine is a specialized division that supports physicians in the care of patients by providing rapid and accurate in vitro diagnostic tests. Standardization of every component of a specific test is essential for producing accurate results. The Clinical and Laboratory Standards Institute (CLSI) was founded to develop a formal consensus process for standardization in 1968, and has been publishing standards and guidelines covering all aspects of clinical, research, and other laboratory work. CLSI guidelines are widely used around the world for standardization. The CLSI antimicrobial susceptibility testing subcommittee (AST SC) consists of 6 standing and many ad hoc working groups. Members of the AST SC review submitted proposals and suggestions, decide on approving these submissions in face-to-face meetings held twice a year, and revise CLSI documents accordingly. As these face-to-face meetings are open to anyone who registers to attend, I strongly encourage the members of our Society to attend and actively participate in document development.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.881-895
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• 2023

Modern image inpainting techniques based on deep learning have achieved remarkable performance, and more and more people are working on repairing more complex and larger missing areas, although this is still challenging, especially for facial image inpainting. For a face image with a huge missing area, there are very few valid pixels available; however, people have an ability to imagine the complete picture in their mind according to their subjective will. It is important to simulate this capability while maintaining the identity features of the face as much as possible. To achieve this goal, we propose a three-stage network model, which we refer to as the identity and structure feature refinement network (ISFRNet). ISFRNet is based on 1) a pre-trained pSp-styleGAN model that generates an extremely realistic face image with rich structural features; 2) a shallow structured network with a small receptive field; and 3) a modified U-net with two encoders and a decoder, which has a large receptive field. We choose structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), L1 Loss and learned perceptual image patch similarity (LPIPS) to evaluate our model. When the missing region is 20%-40%, the above four metric scores of our model are 28.12, 0.942, 0.015 and 0.090, respectively. When the lost area is between 40% and 60%, the metric scores are 23.31, 0.840, 0.053 and 0.177, respectively. Our inpainting network not only guarantees excellent face identity feature recovery but also exhibits state-of-the-art performance compared to other multi-stage refinement models.

• Journal of Information Technology Services
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• v.19 no.5
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• pp.137-153
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• 2020

Most enterprises today work on digital transformation projects to cope with uncertainties caused by the rapid change and cutting-edge technology. The key point is they need to take a novel approach on new projects for high performance. In this context, there is a growing interest in utilizing agile method; however, many studies on Impact of Digital Transformation on the Results of Innovation do not deal with agile methodology. The research specifies the case of Seoul Metro, regarded as best-practice on digital transformation, based on the agile way of working. The case study is based on in-depth interview with Seoul Metro's executives and employees, and the interview is analyzed using keywords from the 12 Agile Principles. Thus, among the 12 Agile Principles, Motivation and Trust, Face-to-face Interactions, Continuous Attention to Technical excellence and good design, Self-Organizing Team contributed the most to successful digital transformation projects. In addition, based on Requirements Uncertainty and Technical Degree of Uncertainty, they carry different kinds of traits. For instance, the higher the uncertainty toward requirements and required technology is, the more technological development pace is maintained. Given the conservative nature of public corporations, it is necessary to adopt the agile way of working, such as improving employees' technological capabilities and allowing teams to be organized within themselves, in a bid to produce successful innovation outcome.

• Earthquakes and Structures
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• v.18 no.1
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• pp.73-82
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• 2020

With the coal mining depth increasing, both stress and gas pressure rapidly enhance, causing coal and gas outburst risk to become more complex and severe. The conventional method for prediction of coal and gas outburst adopts one prediction index and corresponding critical value to forecast and cannot reflect all the factors impacting coal and gas outburst, thus it is characteristic of false and missing forecasts and poor accuracy. For the reason, based on analyses of both the prediction indicators and the factors impacting coal and gas outburst at the test site, this work carefully selected 6 prediction indicators such as the index of gas desorption from drill cuttings Δh₂, the amount of drill cuttings S, gas content W, the gas initial diffusion velocity index ΔP, the intensity of electromagnetic radiation E and its number of pulse N, constructed the Bayes discriminant analysis (BDA) index system, studied the BDA-based multi-index comprehensive model for forecast of coal and gas outburst risk, and used the established discriminant model to conduct coal and gas outburst prediction. Results showed that the BDA - based multi-index comprehensive model for prediction of coal and gas outburst has an 100% of prediction accuracy, without wrong and omitted predictions, can also accurately forecast the outburst risk even for the low indicators outburst. The prediction method set up by this study has a broad application prospect in the prediction of coal and gas outburst risk.

• Geomechanics and Engineering
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• v.23 no.1
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• pp.51-59
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• 2020

In this paper, the WEKA platform was used to mine and analyze measured data of floor failure depth and a prediction system of floor failure depth was developed with Java. Based on the standardization and discretization of 35-set measured data of floor failure depth in China, the grey correlation degree analysis on five factors affecting the floor failure depth was carried out. The correlation order from big to small is: mining depth, working face length, floor failure resistance, mining thickness, dip angle of coal seams. Naive Bayes model, neural network model and decision tree model were used for learning and training, and the accuracy of the confusion matrix, detailed accuracy and node error rate were analyzed. Finally, artificial neural network was concluded to be the optimal model. Based on Java language, a prediction system of floor failure depth was developed. With the easy operation in the system, the prediction from measured data and error analyses were performed for nine sets of data. The results show that the WEKA prediction formula has the smallest relative error and the best prediction effect. Besides, the applicability of WEKA prediction formula was analyzed. The results show that WEKA prediction has a better applicability under the coal seam mining depth of 110 m~550 m, dip angle of coal seams of 0°~15° and working face length of 30 m~135 m.