Journal of the Korean Society of Clothing and Textiles
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v.21
no.3
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pp.487-501
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1997
Prepurchase decision making process was investigated for the female high school students grouped by fashion leadership. Differences in the fashion leadership were also investigated among the groups determined by demographic characteristics. Data were obtained from 600 female students attending at 4 different high schools in Seoul by self-administered questionnaires, and 430 were used for the data analysis. Respondents were divided into 5 groups by fashion leadership: innovators(6.3%), early adopters(29.8%) , early majority(43.7%) , late majority(16.9%) , laggards(3.3%) , The groups with higher monthly allowances and monthly clothing expenditures showed higher fashion leadership. At the problem recognition stage, students with higher fashion leadership felt buying needs more often than those with lower fashion leadership. At the information search stage, students with higher fashion leadership tended to use higher number of information sources and mass media, visited stores more often, spent more time and collected new information more often, and tended to show higher satisfaction levels with searched information than students with lower fashion leadership. Leaders tended to search information at bonded goods stores and small shops in the area, and laggards prefered to visit small stores in the market. At the alternative evaluation stage, students with higher fashion leadership reported to use higher number of evaluative criteria and consider brand name, acknowledgment of others, becomingness with wardrobe as important criteria for evaluating apparel products; those with lower fashion leadership thought utility, comfort, size, sewing quality an6 fit as key criteria.
International Journal of Computer Science & Network Security
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v.22
no.10
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pp.1-10
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2022
Nowadays software defect prediction (SDP) is most active research going on in software engineering. Early detection of defects lowers the cost of the software and also improves reliability. Machine learning techniques are widely used to create SDP models based on programming measures. The majority of defect prediction models in the literature have problems with class imbalance and high dimensionality. In this paper, we proposed Centroid and Nearest Neighbor based Class Imbalance Reduction (CNNCIR) technique that considers dataset distribution characteristics to generate symmetry between defective and non-defective records in imbalanced datasets. The proposed approach is compared with SMOTE (Synthetic Minority Oversampling Technique). The high-dimensionality problem is addressed using Ant Colony Optimization (ACO) technique by choosing relevant features. We used nine different classifiers to analyze six open-source software defect datasets from the PROMISE repository and seven performance measures are used to evaluate them. The results of the proposed CNNCIR method with ACO based feature selection reveals that it outperforms SMOTE in the majority of cases.
Journal of Korean Home Economics Education Association
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v.12
no.3
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pp.1-17
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2000
The purpose of this research was to apply and conduct a class with Gordon’s Creative Problem Solving Method(Synectics) to the area of ’human development and family relations’among male students in a jr. high school. Subject matters which were appropriate for applying Gordon’s Creative Problem Solving method were selected from ’human development and family relations’area, with problem circumstances set to reflect to the highest degree the interests of individuals and families. An 8 hour teaching instructional guide was constructed with $\boxdr$strategy 1$\boxul$of Gordon’s Creative Problem Solving method in order to solve creatively the established problem. This was practically implied to 70 students(each class had 34 and 36 students respectively) in K middle school located in Seoul. The period of this application was for 3 months during March through May of 1999. The perception of this method was examined by the teachers and students through open-ended questions. The record of perception showed that 56 students out of 70(with no response from 5 students) through that the class done by the creativity problem solving method was good. The majority of reasons mentioned for the positive answers were ’being able to receive different thoughts which were unusual of daily life’. In addition the students who participated in the class were able to foster a joint experience which improved their understanding of relationships and sens of community. moreover students who did not do well n the class or were diffident were encouraged to participate which in result showed that there was even an internal effect.
Transactions of the Korean Society of Automotive Engineers
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v.14
no.4
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pp.123-131
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2006
The majority of pedestrian fatalities and injuries are caused by vehicle-pedestrian accidents. Recently, it has been recognized as a serious problem. Injuries of occupants in a vehicle have been decreased considerably. However, efforts for protection of pedestrians are still insufficient. These days, many advanced industries are striving for a better protection of pedestrians by using an active hood lift system, rather than reforming the existing structure. In this research, the active hood lift system is designed to enhance the performance for protection. The active hood lift system is analyzed by using the nonlinear finite element method. An optimization problem is formulated by incorporation of the analysis results. Orthogonal arrays are utilized to solve the formulated problem. An iterative optimization algothrithm using orthogonal arrays is utilized for design in the discrete space. It is found that the method can remarkably decrease the number of function evaluations.
Among the semiconductor If-chips, unlike memory chips, a majority of Application Specific IC(ASIC) products are produced by customer orders, and meeting the customer specified due date is a critical issue for the case. However, to the one who understands the nature of semiconductor manufacturing, it does not take much effort to realize the difficulty of meeting the given specific production due dates. Due to its multi-layered feature of products, to be completed, a semiconductor product(called device) enters into the fabrication manufacturing process(FAB) repeatedly as many times as the number of the product specified layers, and fabrication processes of individual layers are composed with similar but not identical unit processes. The unit process called photo-lithography is the only process where every layer must pass through. This re-entrant feature of FAB makes predicting and planning of due date of an ordered batch of devices difficult. Parallel machines problem in the photo process, which is bottleneck process, is solved with restricted roll out algorithm. Roll out algorithm is a method of solving the problem by embedding it within a dynamic programming framework. Restricted roll out algorithm Is roll out algorithm that restricted alternative states to decrease the solving time and improve the result. Results of simulation test in condition as same as real FAB facilities show the effectiveness of the developed algorithm.
This study was conducted to investigate the present situation and problems related to the use of nursing diagnosis in practice. The data were obtained from 332 subjects (27 director of nursing service, 302 staff nurses) who worked in university hospitals in Korea from July through August 1988 using a mailed questionnaire. Data were analyzed by frequency, X$^2$ test and t-test. The findings were as follows ; 1, Clinical use of nursing diagnosis by directors of nursing service and staff nurses. 1) The majority of the nursing departments (88.9%) conducted group education on nursing diagnosis during the last 5 years and 81.5% of them kept a record format for nursing diagnosis : 88.9% of them had had prior experience with the nursing diagnosis. 2) Most of nurses (97.0%) had received education on nursing diagnosis. 2. Factors related to the clinical use of nursing diagnosis in nursing service departments and by staff nurses. 1) The one factor related to the use of nursing diagnosis in the nursing service department was the existence of a record. 2) Factors related to the use of nursing diagnosis by the staff nurses were the organization style of the nursing service department, group education during the last 5 years, existence of a record, the attitude of the director of nursing service, and prior experience of the use of the nursing diagnosis as characteristics of nursing service department and educational experience of nursing diagnosis as a character of nurse. 3. Problems with the use of nursing diagnosis. 1) The primary problem was the lack of time and personnel (mean : 3.757) ; the second problem was the lack of knowledge and will to use nursing diagnosis in practice by the staff nurses(mean : 3.546). 2) There was no significant difference in problems expressed by the director of nursing services and the nurses. The majority of nurses who worked in the university hospitals expressed interest in and concern about the use of nursing diagnosis. Most of the nurses had had education about on nursing diagnosis but use in practice was limited. The primary problem was lack of time and manpower. Strategies for improving use of the nursing diagnosis in practice : 1) Strengthening the education about nursing diagnosis and a holistic approach to understanding human beings. 2) Develop protocols for the use of nursing diagnosis. 3) Eliminate the language barrier regarding nursing diagnosis by translation into in Korean. 4) Decentralization of the nursing service to promote accountability by individual nurses for use of nursing diagnosis.
Journal of Fisheries and Marine Sciences Education
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v.26
no.5
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pp.966-978
/
2014
Currently, majority small ship's clutch for power transmission to propeller relies on multi plate hydraulic clutch regardless its size. Most of the small ships do not have a spare equipments of clutch. Furthermore, many ship engineers do not have an ability as well as enough experience to solve this problem related to the hydraulic clutch during the voyage. Therefore, any small problems cause many serious marine accidents. Once the clutch has problem, almost of all ships can not sail by itself anymore and it must be towed by salvage boat, maritime police ships, or fish guidance boat etc. In this case, all the accidents will be categorized as a marine accident and they all need to go through marine accident court inquiries. In this study, an understanding of each crew on hydraulic clutch system has been profoundly measured. Furthermore, the knowledge on an emergency navigation protocol of each crew has been also profoundly checked. Additionally, various surveys on hydraulic clutch classes has been performed and its satisfaction of crews on this topic have been carefully checked based on various feedback from students who took these courses. All of the above data from this study will be used to reduce marine accidents in current marine industry.
This paper studies the supply and demand of Industrial Technology Labor-force(ITL) and analyzes the determinate of ITL shortage in Korean manufacturing. We classified the industry into four categories-high technology industries, medium-high technology industries, medium-low technology industries and low technology industries-based on its R&D intensity like OECD. For the empirical analyses we use a survey data collected from 5,703 enterprises. The key findings are as follows: Firstly, a large majority of ITL is engaged in more technology-intensive industries but the categories that are exposed to more serious labor-force shortage problem are medium-high technology industries and low technology industries. Secondly, in the terms of supply factor, the ITL shortage problems are mainly due to the avoidance of ITL jobs. And the demand point, the reason is that the most of ITL are not researchers but production managers. Thirdly, the cause of imbalance between supply and demand of ITL are different by the technological categories. For example, in the high technology industries, the supply factors, such as average wage and turnover rate played more important role in the imbalance. But in the low technology industries the demand factors, such as per capita sales and the ratio of ITL in all employees were relatively much more important. Based on the findings, we discovered some political meanings such as the necessity to plan various policies to resolve the shortage problem of ITL according to the technological categories, etc.
Methods for the operative management of patent ductus arteriosus are now well established, and in the vast majority of children the circulatory shunt can be safely and effectively abolished by dividing the ductus or by closing it in continuity with ligatures and transfixing sutures. In adults, however, closure of patent ductus arteriosus may pose important technical problems, particularly when there are associated pulmonary hypertension, calcification, aneurysm and infective endocarditis. Under these circumstance, division or ligation is unusually hazardous because the diseased vessels often fracture or tear when sutures are placed in them. Then we closed the patent ductus arteriosus by use of cardiopulmonary bypass in 18 patients and ligated the ductus via thoracotomy in 18 patients from Jan. 1986 to May 1990. And we compared the results between two different methods. We concluded that ligation of ductus had a problem of rupture and transpulmonary internal suture closure of PDA had a problem of injury of recurrent laryngeal nerve.
Jabbar, Abdul;Li, Xi;Iqbal, M. Munawwar;Malik, Arif Jamal
KSII Transactions on Internet and Information Systems (TIIS)
/
v.15
no.7
/
pp.2547-2567
/
2021
It has been widely acknowledged that occlusion impairments adversely distress many face recognition algorithms' performance. Therefore, it is crucial to solving the problem of face image occlusion in face recognition. To solve the image occlusion problem in face recognition, this paper aims to automatically de-occlude the human face majority or discriminative regions to improve face recognition performance. To achieve this, we decompose the generative process into two key stages and employ a separate generative adversarial network (GAN)-based network in both stages. The first stage generates an initial coarse face image without an occlusion mask. The second stage refines the result from the first stage by forcing it closer to real face images or ground truth. To increase the performance and minimize the artifacts in the generated result, a new refine loss (e.g., reconstruction loss, perceptual loss, and adversarial loss) is used to determine all differences between the generated de-occluded face image and ground truth. Furthermore, we build occluded face images and corresponding occlusion-free face images dataset. We trained our model on this new dataset and later tested it on real-world face images. The experiment results (qualitative and quantitative) and the comparative study confirm the robustness and effectiveness of the proposed work in removing challenging occlusion masks with various structures, sizes, shapes, types, and positions.
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