• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.3
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• pp.341-352
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• 2017

Purpose: To identify the types and characteristics of subjective structures among nursing students toward individuals who attempt suicide. Methods: A group of 32 third- and fourth-year nursing students with experience in clinical practice rated 35 Q-statements on a nine-point scale according to their opinion. Data analysis was conducted using the PC-Quanl program. Results: Subjectivity among nursing students toward individuals who attempt suicide was analyzed for three types. Type 1 (social responsibility emphasis) subjectivity recognizes the social responsibility for suicide attempts and emphasizes the importance of social support systems as a preventive effort. Type 2 (rational reprimand) subjectivity emphasizes the willpower and effort to overcome challenges in life, because happiness and unhappiness are dependent on one's thoughts and will. Type 3 (situation acceptance) subjectivity regards the suicide attempt as an optional means to avoid a deeply strenuous, painful, and difficult situation. Conclusion: This study investigated the subjectivity of nursing students toward individuals who attempt suicide and to provide a better understanding of them. In addition, the development of training programs that take advantage of the subjective characteristics of individuals based on subjectivity types demonstrated in this study is expected to provide nursing students with useful educational materials for their future careers as nurses.

• Computers and Concrete
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• v.18 no.6
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• pp.1113-1134
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• 2016

A methodology using neural networks has been proposed for rapid prediction of inelastic bending moments in reinforced concrete continuous beams subjected to service load. The closed form expressions obtained from the trained neural networks take into account cracking in concrete at in-span and at near the internal supports and tension stiffening effect. The expressions predict the inelastic moments (considering the concrete cracking) from the elastic moments (neglecting the concrete cracking) at supports. Three separate neural networks are trained since these have been postulated to represent all the beams having any number of spans. The training, validating, and testing data sets for the neural networks are generated using an analytical-numerical procedure of analysis. The proposed expressions are verified for example beams of different number of spans and cross-section properties and the errors are found to be small. The proposed expressions, at minimal input data and computation effort, yield results that are close to FEM results. The expressions can be used in preliminary every day design as they enable a rapid prediction of inelastic moments and require a computational effort that is a fraction of that required for the available methods in literature.

• Management & Information Systems Review
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• v.6
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• pp.205-226
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• 2001

Under the pressure of competition and efficiency in the 21st century, many firms need to adapt the system of new labor relationship, labor management' innovation. In global economy and information time, country and company have become a business imperative core strategy. Industrial and Labor management culture is more innovation and sustain, development. Therefore, This paper review, the new era of 21st century of knowledged based information society, new labor management culture's shape and the possibility of strong corporate culture's impact. This study suggested several improvement ways of Labor Management. The directions of participation in decisions in labor relation as follows: A manager and employee cope with partnership each other, open management is to successfully operate. Then investment enlarge human resource development, career development, education & training's enforcement etc. Employee are creativity and innovation task centered interested in the working conditions. First of all, employee has to not only effort to productivity improvement, but also voluntarily capacity improvement. These changes are hot issues to employee as well as to manager. Also, Government role is very important. They provide to constructive infra and human resource management should be develop as well as supported to knowledge based employee in socially responsible management. Finally, new labor relations culture' practice can effort the growth to improve upgrading strategy the sound labor-manager.

• Structural Engineering and Mechanics
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• v.39 no.2
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• pp.267-285
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• 2011

There can be a significant amount of moment redistribution in composite frames consisting of steel columns and composite beams, due to cracking, creep and shrinkage of concrete. Considerable amount of computational effort is required for taking into account these effects for large composite frames. A methodology has been presented in this paper for taking into account these effects. In the methodology that has been demonstrated for moderately high frames, neural network models are developed for rapid prediction of the inelastic moments (typically for 20 years, considering instantaneous cracking, and time effects, i.e., creep and shrinkage, in concrete) at a joint in a frame from the elastic moments (neglecting instantaneous cracking and time effects). The proposed models predict the inelastic moment ratios (ratio of elastic moment to inelastic moment) using eleven input parameters for interior joints and seven input parameters for exterior joints. The training and testing data sets are generated using a hybrid procedure developed by the authors. The neural network models have been validated for frames of different number of spans and storeys. The models drastically reduce the computational effort and predict the inelastic moments, with reasonable accuracy for practical purposes, from the elastic moments, that can be obtained from any of the readily available software.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.3
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• pp.725-734
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• 2015

In contemporary society, many fishery industries face a serious problem of having an insufficient number of junior ship officers and engineers. Even though many fishery high schools in Korea made significant effort to produce many talented junior officers and engineers, but after graduation, the students are reluctant to get a job on the fishing vessels. Furthermore, Korean government also invested a large amount of money to train students for ocean-going and costal & near-ocean fishing vessels. However, despite the government's great effort on the training program and education, only a few students wish to work on the fishing vessels. In this article, the author tried to find answers for various questions such as what are the factors that the student prefer, where the student to want to get a job in fishery industries, and how student feel about working at fishing vessels. Furthermore, the author also analyzed the differences between high school student group and Korea Institute of Maritime and Fisheries Technology(KIMFT) student group about occupational orientation by utilizing SPSS statistical program. Additionally, the author surveyed the current onboard status of job position of the high school and KIMFT alumni. This study's results and data will be used for aiding further stimulation and advertisement of job position in fishing vessels and continued daily lives on board.

• Journal of Technologic Dentistry
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• v.28 no.1
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• pp.121-142
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• 2006

Collecting materials for study on teaching efficiency and satisfaction of clinical training, it changes. Dental technology's educational procedure to many ways of a prospect. In a circumstance that needed higher level of education, this study is aimed on realizing an importance of clinical training through the various materials that previously carried out and offering basic knowledge to take better clinical training for the students. Study results below 1. This Investigation conducted on 123 of sophomores(70.3%) and 52 of juniors(29.7%) who have been taken clinical training, and men's proportion(51.45%)is a bit higher than girls(48.6%). The 64% of respondents taken largest proportion were 20 to 24 years old. As 67.9% of respondents attended daytime school and 30.3% of them attended nighttime one, their school time shows a little difference. In a question about relation ship, one answered "Harmonious" took largest proportion by 72.6% during training, and about the degree of satisfaction of campus life who answered "normal" were the most with 59.4%. 2. About the reason choosing dental technology as a major, 41.1% taken the most answered "due to the specialized job", "Getting job easily" was second with 26.9%, and third was "recommended from around" with 18.3%. 50.3% of the respondents answered "normal" about the Satisfaction of their major, student marked in grade "B" most with 51.4% 3. In a investigation result about clinical training statues and preference, most(72.6%) choose place less than 10 for clinical training, and 60.6% of them resided own home. About their commuting time from home to training place, 44% was under 30min, 40% took time 30-60min. It shows students prefer shotter distance in terms of choosing training place. 4. Each part manager took large proportion as a clinical trainer with 33.7%, Training curriculum reform and developing method were most answer as a improvement measure after completing training with 30%. 5. The average of total score about clinical training was 3.15 of 5. In the detailed question, 'satisfaction of clinical training' got 3.38 as a highest score, the lowest score was 2.86 that is about satisfaction of clinical training period. The average score about efficiency of study was 2.86 and in detailed question, 'a Role model' got 3.26 as a highest score and participation of student got 3.05 as a lowest score. 6. The result of T-test to see the difference of the satisfaction according to the general character and clinic training condition between teaching efficiency is that the degree of satisfaction of clinical training showed statistical significance only in the degree of satisfaction of campus life(p<0.05), and teaching efficiency has a statistical significance with their age, grade, and satisfaction of campus life (p<0.05). 7. The relation between of teaching efficiency of clinical training and satisfaction of clinical training of dental technologic student has a statistical meaning in significance leveler 0.01. Now, therefore we suggest following based on these result. 1. To elevate satisfaction of clinical training, it agentry needs development of consistent clinical training curriculum. 2. To grasp the satisfaction and requirement, in needs to measure anxiousness and satisfactory degree after completing training 3. To train efficiently and evaluate efficiency over the teaching activities, it needs to develop measuring tools for teaching efficiency in terms of teacher's important rules in a clinical training. 4. Strengthen the relations with the study developing and managing curriculum gathering theoretical knowledge and practice. And make an effort to apply to their students. 5. Let the trainee take a class setting a belief, sense of value, function and obtain behavior by making the students comfort over clinical training as increasing teaching efficiency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3484-3490
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• 2015

Construction industry has a relatively higher accident rate compared to other industries, especially the serious accident rate including death. Ministry of Employment and Labor has not only implemented safety consciousness but also initiated the basic occupational safety and health training for the construction industry. Despite the effort, only a few sites follow the obligatory task and there are reports stating the effect of the education is minimal. As a result, this research aims to determine and analyze the current state of the basic occupational safety and health training including its lesson plan and method. Furthermore, by analyzing the preliminary study on the effective instructional method, this research suggests an effective method to implement safety consciousness to the workers. An improvement plan is also suggested by supplying appropriate educational material to different workers by differentiating the characteristics and the cause of death at various work types in construction sites.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.5
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• pp.631-636
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• 2019

Over the last decade, many researchers have investigated a number of vision-based construction object detection algorithms for the purpose of construction site monitoring. However, previous methods require the ground truth labeling, which is a process of manually marking types and locations of target objects from training image data, and thus a large amount of time and effort is being wasted. To address this drawback, this paper proposes a vision-based construction object detection framework that employs an active learning technique while reducing manual labeling efforts. For the validation, the research team performed experiments using an open construction benchmark dataset. The results showed that the method was able to successfully detect construction objects that have various visual characteristics, and also indicated that it is possible to develop the high performance of an object detection model using smaller amount of training data and less iterative training steps compared to the previous approaches. The findings of this study can be used to reduce the manual labeling processes and minimize the time and costs required to build a training database.

• Journal of Korean Society of Forest Science
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• v.108 no.1
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• pp.109-115
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• 2019

The objectives of this study was to analyze the importance and satisfaction (ISA) of forest healing instructor training program, targeting on the students educated in 2018. As a result, it was found that students older than forties are the majority as 81 %, and they preferred forest healing instructors as their second future job. When comparing the importance and satisfaction, the students evaluated satisfaction with low grade compared to importance with high grade in all questions. In ISA analysis, it was needed to improve the updated textbook information, to list the example problems by subject, to expose the test subjects in the textbooks, to disclose the test questions and answers, to control the test difficulty, to adjust the test pass rate, to expand the number of test and test sites, to increase the effort for making students understand, to prepare lectures appropriate to practice for forest healing instructor training program by priority.

• The Journal of Bigdata
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• v.9 no.1
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• pp.169-186
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• 2024

This study aims to analyze the acceptance factors for expanding the adoption of AI by SMEs and draw practical and policy implications. To this, we conducted an empirical analysis of AI acceptance factors among 315 SMEs in various industries such as manufacturing, service, and information and communication sectors located in Korea. Based on the UTAUT, we examined the influence of decision-making reliability, perceived awareness, policy support, education and training, perceived cost, perceived risk, and system complexity, and found that decision-making reliability positively affects performance expectancy and social influence, perceived awareness positively affects performance expectancy and effort expectancy, policy support positively affects social influence and facilitating conditions, and education and training positively affects effort expectancy and facilitating conditions. Perceived cost had a negative effect on social influence and facilitating conditions, and perceived risk had a negative effect on performance expectancy and social influence. System complexity had a negative effect on effort expectancy but no effect on facilitating conditions. These results are expected to be widely utilized as basic research for the diffusion of AI in industry and provide practical and policy implications for promoting the adoption of AI in SMEs.