• KIPS Transactions on Computer and Communication Systems
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• v.9 no.8
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• pp.171-180
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• 2020

Smart Factory consists of digital automation solutions throughout the production process, including design, development, manufacturing and distribution, and it is an intelligent factory that installs IoT in its internal facilities and machines to collect process data in real time and analyze them so that it can control itself. The smart factory's equipment works in a physical combination of numerous hardware, rather than a virtual character being driven by a single object, such as a game. In other words, for a specific common goal, multiple devices must perform individual actions simultaneously. By taking advantage of the smart factory, which can collect process data in real time, if reinforcement learning is used instead of general machine learning, behavior control can be performed without the required training data. However, in the real world, it is impossible to learn more than tens of millions of iterations due to physical wear and time. Thus, this paper uses simulators to develop grid sortation systems focusing on transport facilities, one of the complex environments in smart factory field, and design cooperative multi-agent-based reinforcement learning to demonstrate efficient behavior control.

• Economic and Environmental Geology
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• v.53 no.3
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• pp.245-258
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• 2020

In this study, a data-driven response surface method using the results acquired from the numerical simulation is developed to evaluate the potential storage capacity of groundwater due to the construction of a groundwater dam. The hydraulic conductivities of alluvium and basement rock, depth and slope of the channel are considered as the natural conditions of the location for groundwater dam construction. In particular, the probability models of the hydraulic conductivities and the various types of geometry of the channel are considered to ensure the reliability of the numerical simulation and the generality of the developed estimation model. As the results of multiple simulations, it can be seen that the hydraulic conductivity of basement rock and the depth of the channel greatly influence to the groundwater storage capacity. In contrast, the slope of the channel along the groundwater flow direction shows a relatively lower impact on the storage capacity. Based on the considered natural conditions and the corresponding numerical simulation results, the storage capacity estimation model is developed applying an artificial neural network as the nonlinear regression model for training. The developed estimation model shows a high correlation coefficient (>0.9) between the simulated and the estimated storage amount. This result indicates the superiority of the developed model in evaluating the storage capacity of the potential location for groundwater dam construction without the numerical simulation. Therefore, a more objective and efficient comparison for the storage capacity between the different potential locations can be possibly made based on the developed estimation model. In line with this, the proposed method can be an effective tool to assess the optimal location of groundwater dam construction across Korea.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.2
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• pp.137-142
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• 2010

Although multi-model speech recognizer has been shown to be quite successful in noisy speech recognition, the results were based on general speech front-ends which do not take into account noise adaptation techniques. In this paper, for the accurate evaluation of the multi-model based speech recognizer, we adopted a quite noise-robust speech front-end, AFE, which was proposed by the ETSI for the noisy DSR environment. For the performance comparison, the MTR which is known to give good results in the DSR environment has been used. Also, we modified the structure of the multi-model based speech recognizer to improve the recognition performance. N reference HMMs which are most similar to the input noisy speech are used as the acoustic models for recognition to cope with the errors in the selection of the reference HMMs and the noise signal variability. In addition, multiple SNR levels are used to train each of the reference HMMs to improve the robustness of the acoustic models. From the experimental results on the Aurora 2 databases, we could see better recognition rates using the modified multi-model based speech recognizer compared with the previous method.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.1
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• pp.71-81
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• 2020

Family companies are the unique industry-academic cooperation-related systems of Korean universities created by universities to promote various forms of industry-academic cooperation with companies. It is important to figure out the current status of family companies in order to understand the achievements of industrial-academic cooperation projects that have been actively pursued since the early 2000s. A lot of studies on industry-academic cooperation have focused mainly on the university's position. On the contrary, this study focuses on understanding the current status of the family company system and the status of industry-academic cooperation. Introduced in 2004, the Family Company System expanded rapidly as it was used as a performance indicator for college financial support projects related to industry-academic cooperation, with 174,425 companies registered as family companies as of 2017. A survey of family companies registered in universities carrying out the LINC+ project shows that companies registered in multiple universities are increasing, with relatively high demand and satisfaction for industry-academic cooperation among companies. Family companies were found to be relatively satisfied in terms of the use of R&D equipment or joint research, while they were relatively less satisfied in terms of workforce training and retraining. While companies have assessed product quality improvements through industry-academic cooperation, they have underestimated the effect of increasing sales and reducing production costs. Further, it was found that it was urgent to expand incentive systems and improve online information services to boost corporate participation in order to enhance the effectiveness of industry-academic cooperation.

• Journal of Conservation Science
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• v.26 no.4
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• pp.429-436
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• 2010

Dyestuffs extracted from fifteen kinds of natural dyeing materials were researched on their antimicrobial performance against 3 kinds of bacteria and 2 kinds of fungi in order to develop conservation/storage materials of traditional and natural dyed papers. The three types of mordants were evaluated by using the same method and then mixed with the dyestuffs to research their antimicrobial performance. With those results, dyed paper was made by mixing mordants with 9 kinds of dyestuffs with excellent antimicrobial performance. Among the dyed papers, Cotinus coggygria, Coptis chinensis, Phellodendri amurense, Rhus javanica and Acer ginnala multiple mordant papers were found to have an antibacterial quality against fungi, while, in the insect repellent experiment using termites, Coptis chinensis and Phellodendri amurense dyed papers were found to have insect repellent qualities. Also, with regard to the research result about the affect of dyeing paper on other materials like metal, Coptis chinensis have relatively stable qualities. Also, the three types of dyeed paper by Cotinus coggygria, Coptis chinensis and Phellodendri amurense, were found to have a tendency to remove harmful gases. Not only can these dyed papers be used for making storage box for cultural properties to prevent various organic artifacts from bio-damaging, but they can also be utilized as functional finishing materials in various spaces.

• Journal of agricultural medicine and community health
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• v.23 no.1
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• pp.91-108
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• 1998

This study was conducted to use the feedback of health personnel to improve the Visiting Health Service. The data was collected from 471 Home Health Workers serving 24 local health organizations in the Kyung-Pook province. 62.5% of the respondents were men under thirty-nine years of age. 92.8% of the respondents are married. 47.1% had degrees from junior colleges. It was ascertained 52.7% of the workers visited their patients six to twelve times within a six month period. And one to three patients were visited per day by one worker. Workers of older age, higher job position, and more experience were more positive in their feedback about the program. In addition, local health center employees, including nurses, were more positive about the program. Younger workers with a higher level of education, less experience, and lower job position had more insight into the problems of the program. Deeper insight into these problems led to a more negative conception of the program. Older workers with higher ranking jobs were found to be most competent. in their jobs. Workers at the main health center were assessed higher than the workers at the health sub-center or the primary health post. In addison nurses at all centers were found to be slightly more competent than the nurses' aide. The primary health post established the highest degree of patient satisfaction. It was discovered that the more positive the workers felt about the program, the higher their patient satisfaction feedback. There was a positive correlation between management assessment and patient satisfaction. This means that better program management was found to produce higher patient satisfaction. Workers feel being more educated about patient management would lead to better service. However, they take no action to produce these results. Where the problems of the system are most commented upon, the need for further education is greatest. Through multiple regression analyses it is apparent that the assessment of patient management is the greatest variable affecting patient satisfaction of patients is dependent on the management by the visiting health worker. Therefore, the development of the visiting health program is highly dependant on the feedback of those workers with a negative conception of the program. So the development of programs, motivation, education and training must be established. These works would lead to active participation by visiting health workers in the improvement of the Visiting health program.

• Korean Journal of Social Welfare
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• v.52
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• pp.273-299
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• 2003

Children in one-parent families have difficulties from negative perception and prejudice in society in spite of increasing divorce rate and the substantial number of one-parent families. This research aims to provide basic setting-up materials of the equal educational environment to children in one-parent families by examining teachers' perception and attitudes towards those children, and also analysing which factors are associated with the teachers' perceptions and attitudes. In particular, by exploring teachers' internalized value system and stereotyped conception are closely related to the process of evaluating children's personality and behavior, this research suggests that social consciousness to one-parent families should be changed and improved in terms of equality. According to the research result, most teachers notice that children in one-parent families are increasing by number at schools, however, they do not seem to understand properly children's situations including psychological condition. Teachers' negative perception of children in one-parent families are not only influenced by teachers' socio-demographic characteristics, experience factors and children's school life, but also by teachers' own personal value of familism and divorce. Such teachers' attitudes towards one-parent family children are easily predicted to influence children's confidentiality and self-respect. Therefore, it is proposed that the change of social consciousness on one-parent families, the change of educational system and educational environment, development of educational training program for teachers, allocation of school social worker or school counsellor, and empowerment of one-parent family are necessary in order children in one-parent families to have more equitable opportunities at school.

• 대한공업교육학회지
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• v.41 no.2
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• pp.1-23
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• 2016

This study was conducted to analyze the effect Meister high school students' career maturity with respect to the impact on school maladjustment. Also, this study clarify the relationship. This study purpose is to permanently provide Meister as the basis for the vocational education sector career education needed to faithfully serve as a special purpose high schools. Tools used for the survey is maladaptive measurement tools developed by Leegyumi (2004) and Career maturity measurement tools developed at Korea Research Institute for Vocational Education and Training (2012). Using these tools, a reliability test was conducted. Meister students' career maturity was conducted correlation analysis and multiple regression analysis to analyze the impact of school maladjustment. Independent variables are consisted of career maturity and independence, attitude toward the job, planning, self-understanding, rational decision-making, information retrieval, knowledge of the desired job, career exploration and ready for action. Meister high school student's career maturity according to the students' background variables are little girls was higher than boys, but it was not statistically significant. T-test was conducted to ascertain the career maturity and school maladjustment differences of adaptation groups and maladaptive group in meister school students in background variables. A career maturity and school maladjustment between adaptive and maladaptive population groups showed a statistically significant difference in background variables.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.3 s.303
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• pp.17-28
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• 2005

Recently intelligent characters in computer games have been an important element more and more because they continually stimulate gamers' interests. As a typical method for implementing such intelligent characters, neural networks have been used for training action patterns of opponent's characters and game rules. However, some of the game rules can be abruptly changed and action properties of garners in on-line game environments are quite different according to gamers. In this paper, we address how a neural network adapts to those environmental changes. Our adaptation solution includes two components: an individual adaptation mechanism and a group adaptation mechanism. With the individual adaptation algorithm, an intelligent character steadily checks its game score, assesses the environmental change with taking into consideration of the lastly earned scores, and initiates a new learning process when a change is detected. In multi-user games, including massively multiple on-line games, intelligent characters confront diverse opponents that have various action patterns and strategies depending on the gamers controlling the opponents. The group adaptation algorithm controls the birth of intelligent characters to conserve an equilibrium state of a game world by using a genetic algorithm. To show the performance of the proposed schemes, we implement a simple fighting action game and experiment on it with changing game rules and opponent characters' action patterns. The experimental results show that the proposed algorithms are able to make intelligent characters adapt themselves to the change.

• Journal of dental hygiene science
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• v.12 no.5
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• pp.469-476
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• 2012

The purpose of this study to grasp the effects of the stress coping method on the periodontal disease in order to provide raw data for the studies on the development of the training for effective stress copying method resulting in improvement in prevention, occurrence, and progression of periodontal disease. Data were collected from total of 326 subjects in their forties and fifties, during the period from March to October 2011. Using questionnaire and examination of periodontal health, and were analyzed using frequency, t-test, multivariate analysis of variance, multiple regression by SPSS ver. 19.0 (IBM Co., USA). The higher emotion-focused stress coping ($\beta$=0.341), the higher the gingival index, the higher the emotion-focused stress coping ($\beta$=0.239) the deeper the pocket depth, the higher the emotion-focused stress coping ($\beta$=0.158) the higher clinical attachment loss, showed statistically significant positive association. This study suggests that the dental clinic institute needs to implement education program including stress management and coping method improvement in order to prevent periodontal disease and make the occurrence and progression to be managed by professionals.