• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.127-142
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• 2016

Deep learning model is a kind of neural networks that allows multiple hidden layers. There are various deep learning architectures such as convolutional neural networks, deep belief networks and recurrent neural networks. Those have been applied to fields like computer vision, automatic speech recognition, natural language processing, audio recognition and bioinformatics where they have been shown to produce state-of-the-art results on various tasks. Among those architectures, convolutional neural networks and recurrent neural networks are classified as the supervised learning model. And in recent years, those supervised learning models have gained more popularity than unsupervised learning models such as deep belief networks, because supervised learning models have shown fashionable applications in such fields mentioned above. Deep learning models can be trained with backpropagation algorithm. Backpropagation is an abbreviation for "backward propagation of errors" and a common method of training artificial neural networks used in conjunction with an optimization method such as gradient descent. The method calculates the gradient of an error function with respect to all the weights in the network. The gradient is fed to the optimization method which in turn uses it to update the weights, in an attempt to minimize the error function. Convolutional neural networks use a special architecture which is particularly well-adapted to classify images. Using this architecture makes convolutional networks fast to train. This, in turn, helps us train deep, muti-layer networks, which are very good at classifying images. These days, deep convolutional networks are used in most neural networks for image recognition. Convolutional neural networks use three basic ideas: local receptive fields, shared weights, and pooling. By local receptive fields, we mean that each neuron in the first(or any) hidden layer will be connected to a small region of the input(or previous layer's) neurons. Shared weights mean that we're going to use the same weights and bias for each of the local receptive field. This means that all the neurons in the hidden layer detect exactly the same feature, just at different locations in the input image. In addition to the convolutional layers just described, convolutional neural networks also contain pooling layers. Pooling layers are usually used immediately after convolutional layers. What the pooling layers do is to simplify the information in the output from the convolutional layer. Recent convolutional network architectures have 10 to 20 hidden layers and billions of connections between units. Training deep learning networks has taken weeks several years ago, but thanks to progress in GPU and algorithm enhancement, training time has reduced to several hours. Neural networks with time-varying behavior are known as recurrent neural networks or RNNs. A recurrent neural network is a class of artificial neural network where connections between units form a directed cycle. This creates an internal state of the network which allows it to exhibit dynamic temporal behavior. Unlike feedforward neural networks, RNNs can use their internal memory to process arbitrary sequences of inputs. Early RNN models turned out to be very difficult to train, harder even than deep feedforward networks. The reason is the unstable gradient problem such as vanishing gradient and exploding gradient. The gradient can get smaller and smaller as it is propagated back through layers. This makes learning in early layers extremely slow. The problem actually gets worse in RNNs, since gradients aren't just propagated backward through layers, they're propagated backward through time. If the network runs for a long time, that can make the gradient extremely unstable and hard to learn from. It has been possible to incorporate an idea known as long short-term memory units (LSTMs) into RNNs. LSTMs make it much easier to get good results when training RNNs, and many recent papers make use of LSTMs or related ideas.

• Journal of the Korean Institute of Landscape Architecture
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• v.41 no.2
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• pp.38-46
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• 2013

The goal of vocational school is to provide students with basic skills and help develop them to have satisfactory careers. With the knowledge they have learned, it helps them to find their interests and aptitudes when they graduate. The government is putting a lot of effort into clarifying the goal accomplishment and the vision proposals of vocational schools, and the structure-oriented guidance controlled by the government is thought to be very influential to the social structure and individual perceptions. Social stereotypes(discrimination) and perceptions that can be the core of a social structure need to be transformed for people to be fulfilled in their careers in the upcoming advanced Korean society. The important solution is to form correct values and a system of career selection which can ensure a stable future for students. Therefore, to carry out research regarding training human resources in terms of students from vocational schools' landscape architecture majors in an approaching method with a new perspective, we analyzed education plans from vocational schools in 11 regions, textbooks used in common, governmental publications regarding career education policies of vocational schools and questionnaires from students who are majoring in landscape architecture at vocational schools. As a result, we were able to find out the types and the frequencies of career-occupation education at each school through analysis of education plans and the necessity to control the amount and the level of the contents for high school students to have careers in analyzing textbooks. In addition, in Ministry of Education, Science and Technology's analyzing career education policies of vocational schools, we figured out the government's policies and directions of training. From the questionnaires from students majoring in landscape architecture, we were able to compare and analyze the satisfaction level of students on career education(education plans), textbooks, governmental career policies and career selection.

• Korean Journal of Community Nutrition
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• v.10 no.6
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• pp.905-919
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• 2005

This study raised the necessity of developing performance indicators for measuring the management efficiency and effectiveness of school food service, and as a means of helping its implementation, a balanced score card (BSC) approach developed by Norton and Kaplan was adopted. This study established BSC in seven phases through literature: Phase 1 Defining a school food service and the scope of working activities, Phase 2 Establishing the vision of a school food service, Phase 3 Setting strategic goals, Phase 4 Identifying critical success factors (CSFs), Phase 5 Developing Key Performance Indicators (KPIs), Phase 6 Extracting cause and effect relationship, and Phase 7 Completing a preliminary BSC. The preliminary BSC was fumed into a survey, which was administered to food service related people working at the Office of Education and School Food Service including 16 offices,209 dietitians, 48 school administrators both from self-operated and contract-managed, and 9 experts in areas related to school food service. They were asked questions about strategies from 4 different perspectives,12 CSFs, 39 KPls, and the cause and effect relationships among them. As a result, among the CSFs based on 4 different perspectives, all factors other than ' zero sum on profit/loss ' from the financial perspective turned out to be valid. In terms of KPIs, manufacturing cost percentages, casualty loss count/reduction rates, school foodervice participation rates, and sales goal achievement rates were found to be valid from the financial perspective, while student satisfaction index, faculty satisfaction index, leftover ratio, nutrition educational performance count, index of evaluating nutrition education, customer claim count/reduction rate, handling customer claim count/reduction rate, and parent satisfaction index were found to be valid from the customers' perspective. Besides, nutritional requirement sufficient ratio, nutritional management score, food poisoning outbreak count, employee safety accident count, sanitary inspection assessment index, meals per labor hour (productivity index), computerization ratio, operational management index, and purchase management assessment index were also found to be valid from the perspective of internal business processes. From the perspective of innovation and learning, employee turnover ratio/rate of absenteeism, annual education and training count, employee satisfaction index, human resource management assessment index, annual menu-related customer feedback, food service information index for employees and parents/schools were also found to be valid. The significance of this study is to present indices for measuring overall performance of school lunch food service operations without putting any limitation on types of school food service management, and to help correctly assess the contribution of the current types of school food service management to schools and students. (Korean J Community Nutrition 10(6) : $905\∼919$, 2005)

• Journal of IKEEE
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• v.24 no.2
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• pp.638-648
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• 2020

Currently, the method of user-follwoing in intelligent cooperative robots usually based in vision system and using Lidar is common and have excellent performance. But in the closed space of Corona 19, which spread worldwide in 2020, robots for cooperation with medical staff were insignificant. This is because Medical staff are all wearing protective clothing to prevent virus infection, which is not easy to apply with existing research techniques. Therefore, in order to solve these problems in this paper, the ultrasonic sensor is separated from the transmitting and receiving parts, and based on this, this paper propose that estimating the user's position and can actively follow and cooperate with people. However, the ultrasonic sensors were partially applied by improving the Median filter in order to reduce the error caused by the short circuit in communication between hard reflection and the number of light reflections, and the operation technology was improved by applying the curvature trajectory for smooth operation in a small area. Median filter reduced the error of degree and distance by 70%, vehicle running stability was verified through the training course such as 'S' and '8' in the result.

• Journal of Science and Technology Studies
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• v.18 no.1
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• pp.219-265
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• 2018

Recently, interest in energy tranisition is rising. Energy transition requires active participation and cooperation of diverse stakeholders, including users / citizens, in that it requires not only changes in technological factors but also changes and coordination of various social factors. Living labs are attracting attention as one of the ways to do this. This article is a detailed analysis of the activities of the mini-PV living lab in the urban area from 2016 to 2017 at the Seoul, Sung Dae Goal. Through the Living Lab, mini PV DIY products, backup centers, local financial services, and the development of a variety of education and training strategies have been achieved. These activities and achievements were analyzed through questions raised on strategic, tactical, and operational levels, as well as through multi-level perspective and interaction between initiative, regime, and niche. In conclusion, this living lab activity confirmed the possibility of a 'transition lap' to solve social problems such as sustainability of energy production and utilization. In particular, it gained remarkable results in terms of the operational leves of transition management governance, that is, transition experiment, and it was also remarkable in that it was the initiative of citizens. However, it did not proceed without difficulty. In particular, structural problems such as the conflict between the flexibility inherent in living lab and the bureaucratic rigidity of the financial support organization have appeared. There was also a limitation that there was no 'transition field' on the strategic level necessary to replicate and expand strategic niches while spreading the knowledge gained from the transition experiment, forming the vision of transition.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.454-461
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• 2017

The purpose of this study is to investigate the types of domestic safety accidents involving children and to verify the difference of safety knowledge according to variables of parents. Subjects include 226 parents who have 3-5 year old infants enrolled in kindergartens and day care centers in I-city, Jeollabuk-do. The study tools are modified and complemented questionnaire for the study purpose referred to the preceding research data and the literature. For the processing of collected data, frequency analysis, descriptive statistics, one-way ANOVA, and the Duncan post-test were utilized using the SPSS program. The results of this study are as follows: First, safety accidents occurred at the majority of homes which have infant children. On average, the occurrence frequency was 1.78 times per six months. The accidents involving infants occurred in the order of drop or slip, crash or impact, stricture or jamming, fall, stab or cut, burn, swallow or inhalation. Second, both parents had an average level of safety knowledge. There was a distinction in the areas of 'fall' and 'first aid' according the mother's age. In addition, stay-at-home mothers had the higher level of safety knowledge compared with working mothers in the areas of 'general safety knowledge' and 'fire'. There was a distinction in the area of 'fire' according to the father's age. Given these findings, safety training programs for parents to improve safety knowledge needs to be developed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.708-714
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• 2019

This study investigated the effect of emotional leadership on the job satisfaction of dental hygienists. Therefore, we tried to determine a way to improve job satisfaction through emotional leadership, which is one of the skills that dental hygienists should have. The study subjects were 237 dental hygienists working in dental clinics in Jeollabuk-do from April 16, 2018 to April 28, 2018. The data was analyzed using the SPSS 12.0 program. The following results were obtained. The emotional leadership of the subjects was lowest for leadership ability (3.15), and the average job satisfaction was 3.43. Salary levels were low, ranging from 2.49 to 2.98. The final academic achievement and dental career had significant influences on emotional leadership (p<0.05). Marital status, self-cognition ability, self-management ability, and relationship management ability influenced the subjects' job satisfaction. The explanatory power of the multiple regression model was 26.5% and the validity of the model was statistically significant (p<0.05). Based on the above results, it was determined that self-recognition ability, self-management ability and relationship management ability of emotional leadership are all highly related to the job satisfaction of dental hygienists. Thus, emotional leadership of dental hygienists can be strengthened to enhance empathy, understanding and management of others' feelings. Therefore, institutional support should be provided for developing an emotional leadership program based on education and training.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.321-330
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• 2020

In this study, we analyzed the factors influencing internal marketing at hospitals on job satisfaction and customer orientation among nurses in order to provide basic data necessary for management of nursing personnel. From December 26, 2018 to January 4, 2019, the study surveyed 255 nurses at a general hospital in Gyeonggi Province. For data analysis, frequency analysis, factor analysis, correlation, and linear regression analysis were performed using the SPSS 21.0 program. First, the results of this study show that the effect of marketing inside the hospital on job satisfaction was statistically significant. Second, marketing inside hospitals was found to have a statistically significant effect on customer orientation. Thirdly, it was found that the effect of job satisfaction on customer orientation was statistically significant. Fourth, the effect of job satisfaction parameters on the relationship between marketing and customer orientation within the hospital 1st and 2nd stages appeared to have a statistically significant positive (+) impact, and three steps were found to be independent variables. The regression coefficients for organizational vision and future image, organizational attributes and systems, communication, and education/training system by sub-factors of internal marketing at hospitals significantly appeared.

• Fire Science and Engineering
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• v.28 no.1
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• pp.71-78
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• 2014

Complex ethical issues of Emergency Medical Techinician (EMT) out-of hospital emergency medical scene and the ER (Emergency Room) behaviors were studied. The survey was conducted by 500 EMT group members working in the field of ambulance work and general hospital and it was about their work ethics, discussions and solutions about the transferred patients, and ethics regarding Do Not Attempt Resuscitate (DNAR). The survey includes work ethics, awareness about the target job, a discussion on the transfer of patients, measures, and deathbed. Discussions about the patient's condition and diagnosis results were majorly absent during patient transportation at the emergency care scene. More than 90% of emergency care transfer were inappropriate. Sometimes, EMT working in the field facing morally unethical problems beyond their responsibility. When EMT, who can not make death diagnosis, received deathbed related DNAR issues, they gone through severe ethical conflicts. The institutional support and therapy for EMT was weak. In Korea, especially in the accident site, ethical issues education is more needed than DNAR prevalence of education and guidance. If ethics training and guidance are given to EMT, a lot of moral errors in the field can be resolved.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.170-175
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• 2008

The research team for the virtual construction development was established with the support of Korea Ministry of Construction and Transportation, and KICTEP (Korea Institute of Construction and Transportation Technology Evaluation and Planning). Its aims are to develop system that is to improve productivity & quality, to create a higher value-added business, and to cultivate international competitiveness in the construction industry. The virtual construction system is a design, engineering, and construction management information system that allows the project participants to effectively share the information throughout the construction life cycle with the support of 3D and design information. To achieve this, the research team focuses on developing several systems. First, the team focuses on developing for the pre-planning, the structural engineering, MEP, and the 3D based estimation system. Second, they focus on developing a simulation system for the construction process planning and feasibility study with help of the virtual reality technologies. Third, they focus on developing the CPLM (Construction Project Life-cycle Management) system for managing construction project data, and the decision support system that makes the collaboration among the project participants based on 3D technologies and information. We also focus on developing the SDAI (Standard Data Access Interface), the localized guideline for 3D design, and a training program. In addition, we focus on developing the undeveloped area of the commercial system and building an environment that can support the communication and collaboration in the construction life-cycle rather than developing the existing and commercialized system.