• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.357-366
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• 2023

In the purpose of this study, the college textbooks of self-narrative writing and examples of classroom practice are analyzed to find a way to educate it. The self- narrative writing subject with a learning of recognization, expression, and communication with oneself, emphasizes the necessity when they become college students through entrance exam-oriented education. The research methods are as follows. Firstly, three university textbooks which include a section on self-narrative writing were compared and analyzed. The analysis highlights the needs for a textbook covering self-narrative writing more extensively and comprehensively as what is offered by the existing textbooks is limited in facilitating students to fully develop the ability of self-reflection, which should be dealt as a long-term goal. Secondly, the current discussion on self-narrative writing and examples of real classroom practice were analyzed. It shows that a step-by-step approach is required to encourage the practice of deep self-reflection to be incorporated into writing. In addition, during the writing process, various correction and feedback activities should be carried out on a macro level and gradually while the communication and feedback should take place not only between a teacher and students, but also among students. As a result, it is expected that this study will help establish a teaching model of self-narrative writing by seeking complementary points and educational directions for self-narrative writing.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1B
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• pp.149-152
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• 2008

The reaction between iron oxide and ferrous iron is known to be the adsorption of ferrous iron onto the oxide surfaces that produces Fe(II)-Fe(III) (hydr)oxides and ferrous oxide oxidized to ferric ion which is the reducing agent of the target compounds. In our investigations on DS/S using ferrous modified steel slag, the results did not follow the trends. FeO and Fe(II), the major component of steel slag, were used to investigate the degradation of TCE. Degradation did not take place for the first and suddenly degraded after awhile. Degradation of TCE in this system was unexpected because Fe(II)-Fe(III) (hydr)oxides could not be produced in absence of ferric oxide. In this study, the characteristics of FeO/Fe(II) system as a reducing agent were observed through the degradation of TCE, measuring byproducts of TCE and the concentration of Fe(II) and Fe(III). Adsorption of ferrous ion on FeO was observed and the generation of byproducts of TCE showed the degradation of TCE by reduction in the system is obvious. However it did not correspond with the typical reducing mechanisms. Future research on this system needs to be continued to find out whether new species are generated or any unknown mineral oxides are produced in the system that acted in the degradation of TCE.

• Journal of the Korean Society of Food Culture
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• v.21 no.2
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• pp.107-115
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• 2006

The purpose of the study was to investigate the perception and the knowledge of the Korean traditional foods in elementary school students. For the investigation, 373 fifth-grade elementary school students in Incheon were surveyed by a questionnaire, and the data were analized by the SPSS 10.0 program. The result showed that 85% of the surveyed schoolchildren showed the interest in the Korean traditional foods. It also revealed that female students are more interested in the traditional food than male students and the children of the career woman are more interested than those of the housewives. As for the motive of their interest, 39.7% of the subjects answered 'through mass media'. Male students and the children of the housewives got the interest through their mother, and female students and the children of the career woman got the interest through their hobby of cooking food. Among the traditional foods, 76.4% of the children designated kimchi as the most proud traditional food. As for the reasons of reducing traditional food use, 39.9% of students responded because of 'not-tasty' and 28.7% of students replied because of 'not enough time to cook'. But 62.2% of the subjects thought the traditional foods should be more used in the future. As for the succession and development of the traditional foods, 33.8% of the subjects said it should be carried out by the family. The basic knowledge score of the traditional foods was 5.78 on a scale of 10, which showed relatively low level. The lower their basic knowledge, the less their interest in the traditional foods was. The samgyetang, ogokbap and bindaetteok were the most perceived traditional foods. The cheonggukjang, nabakgimchi and jindallaehwajeon were the foods they had seen, but the they didnot have heard or seen the others. Among the traditional foods, susugyeongdan, jindallaehwajeon and dasik were more perceived by the schoolchildren in the rural area than those in the urban area. The jindallaehwajeon and dasik were more perceived by female students than by male students. Therefore, in order to make elementary schoolchildren take the traditional foods with pride by increasing their perception and knowledge of them, the family should give them many opportunities to eat traditional foods. The school also should try to establish a cooperative relationship to the family of schoolchilderen and use more Korean traditional foods in the school's meal program. Furthermore, the society's concern and support are necessary and also the role of mass media, which have great influence on children, is important.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1C
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• pp.63-72
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• 2006

Due to rapid development of many cities in Korea, many public facilities are required to be built as well as complementary civil structures. Consequently, a number of tunnel constructions are currently carried out throughout the country, and many more tunnels are planned to be constructed in the near future. Tunnel excavation in a city often causes serious damage to above-ground structures and sewer system because of unexpected settlement. In order to prevent the destruction, the tunnel, which bypasses the center of a city, must be specially evaluated for its influence to other structure. In addition, since a slight disturbance of above-ground structure causes numerous public complaints and civil appeals, it must be approached with different method than the mountain tunnels. In this paper, the evaluation method using the Artificial Neural Network (ANN) has been studied. The method begins with an analysis of the minimal sectional area. If its result can be used to approximate the general influence of the whole section, the actual evaluation using ANN will take off. In addition, it also studies the construction management method which reflects the real time soil behavior and environment influence during construction using Geographic Information System (GIS).

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.4D
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• pp.351-360
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• 2010

In 2010, the number of registered vehicles reached almost at 17.48 millions in Korea. This dramatic increase of vehicles influenced to increase the number of traffic accidents which is one of the serious social problems and also to soar the personal and economic losses in Korea. Through this research, an enhanced intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network will be developed in order to obtain the important data for developing the countermeasures of traffic accidents and eventually to reduce the traffic accidents in Korea. Firstly, this research has investigated the influencing factors of road geometric features on the traffic volume of each approaching for the intersections where traffic accidents and congestions frequently take place and, a linear regression model of traffic accidents and traffic conflicts were developed by examining the relationship between traffic accidents and traffic conflicts through the statistical significance tests. Secondly, this research also developed an intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network through applying the intersection traffic volume, the road geometric features and the specific variables of traffic conflicts. Lastly, this research found out that the developed model is better than the existed forecasting models in terms of the reliability and accuracy by comparing the actual number of traffic accidents and the predicted number of accidents from the developed model. In conclusion, it is expect that the cost/effectiveness of any traffic safety improvement projects can be maximized if this developed intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network use practically at field in the future.

• 한국노년학
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• v.31 no.3
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• pp.673-689
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• 2011

It is a qualitative study based on a focus group with an aim to figure out elderly people's experiences in health inequality in vulnerable health zones in agriculture and fisheries areas. Of eups, myeons and dongs selected as 40 vulnerable areas where standardized death rates had continued to be high from 2004 to 2007 in 20 counties and cities in Gyeongsang-do, 15 agriculture and fisheries areas were randomly chosen to extract 8 to 10 elderly people. Explanations were given to study subjects, and 7 to 8 people who agreed to take part in the study joined a regional focus group. Contents of interviews were analyzed with a phenomenological method by Colaizzi (1978) in order to accurately describe pertinent phenomena. The study has found four categories including ecological environmental problems, insufficient services for local community & harmful environmental problems, worsening economic conditions and insufficient health care management in terms of health behavior.

• Korean Journal of Health Psychology
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• v.14 no.1
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• pp.1-26
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• 2009

This paper deals with fundamental questions how we should understand and approach the gambling addiction problems optimally. We attempted to define the nature of gambling behaviors first and to understand gambling addiction as an extreme class of behaviors on a behavioral continuum. This frame of reference would allow researchers to diagnose, classify, and evaluate gambling problems clearly, and to estimate prevalence rate and incidence rate more accurately from a perspective of behavioral sciences. Also, we emphasized to get out of a dichotomy in classifying gambling behaviors(i.e., either pathological or non-pathological). In addition, we introduced multi-agent and multi-level approaches to understanding gambling problems. With these approaches, each of the agents pertinent to the gambling problems can take its own responsibility and collaborate with other agents to solve the problems together. Also it is a proper time to develop a new scale overcoming the limitations of existing scales. So we presented several cautions in developing new scales for evaluating gambling problems. Lastly, in building a gambling policy, the estimation of prevalence and incidence rate is an important issue. So we suggested various ways for accurate estimation of prevalence and incidence rates reflecting the nature of gambling problems.

• Korean Journal of Legislative Studies
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• v.26 no.3
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• pp.5-35
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• 2020

This article purposes to investigate opening process of the 21st National Assembly in the middle of severe conflicts between two major-parties, and predict the changes it will bring to the operation of the National Assembly. With incumbent party's taking all leadership positions of standing committees, it broke the practice since 13th National Assembly, that is, distribution of the standing committees based on the seat-ratio. It means that our National Assembly has entered a new phase in the decision-making process. While the incumbent party, with overwhelming victory in general election, emphasizes that it should dominate legislative process to support the government, the out-party claims that they should take leverage to check over government. Two opposing trends are characteristically observed in the operation of the Korean National Assembly. First of all, due to the experience under authoritarian regimes, the National Assembly has been institutionalizing decision-making processes in the direction of enforcing cooperation between parties. On the other hand, the polarization in political parties has been stronger, making it difficult to reach consensus between parties. This article claims strongly that the 21st National Assembly need to find a balance amid such two-conflicting trends. To do so, three necessary conditions are proposed: observing decision-making procedures, securing diversity within party and National Assembly, and deliberative legislative activities.

• Asia Marketing Journal
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• v.11 no.4
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• pp.49-67
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• 2010

Previous researches have proven that corporate social responsibility(adhere CSR) is positively related to corporate performance. But Most of CSR related researches have several limitations. One of limitations is that those researches treated CSR as unidimensional construct. Almost researchers in the area of CSR concepts insisted that CSR is consist of multi dimensions. Carroll's four dimensions of CSR have been utilized by numerous academicians. Carroll asserted that CSR is composed of four dimensions: economic, legal, ethical, and philanthropic responsibility. But Carroll's dimensions were revised as three dimensions by Schwartz and Carroll, because ethical and philanthropic responsibility are not mutually exclusive. If CSR construct is composed of multiple dimensions, a message related to one of dimensions changes beliefs or evaluations about other dimensions that are not mentioned in the message. This phenomenon is called as "spillover effect". According to Ahluwalia, Unnava, and Burnkrant, negative information spills over to attributes that are associated with the target attributes but not mentioned in the message. Like this, this preponderant effect of negative information over positive information has been termed the "negativity effect". In this paper, authors try to prove the spillover effect and negativity effect among Schwartz and Carroll's three dimensions(economic, legal, and ethical responsibility) of CSR. The results of this study show that messages related to legal and ethical responsibility cause spillover effect and influence consumers' evaluation to other dimensions. Moreover, when negativity effect is added on spillover effect, spillover effect is more increased. It means that negative messages related to legal and ethical responsibility is more harmful to corporate image than negative message related to economic responsibility. The results of this study will help companies to manage corporate image using CSR messages as marketing communication tools. Companies should manage messages related to legal and ethical responsibility for more efficiently managing corporate image. Specially, because negative messages related to legal and ethical responsibility are more harmful to corporate image, companies must take care not to spread out negative message related to legal and ethical responsibility. Finally, we discuss the implications of the findings and limitations.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.91-98
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• 2023

Recently, according to development of artificial intelligence, a wide range of industry being automatic and optimized. Also we can find out some research of using supervised learning for deteceting defect of railway in domestic rail industry. However, there are structures other than rails on the track, and the fastener is a device that binds the rail to other structures, and periodic inspections are required to prevent safety accidents. In this paper, we present a method of reducing cost for labeling using semi-supervised and transfer model trained on rail fastener data. We use Resnet50 as the backbone network pretrained on ImageNet. At first we randomly take training data from unlabeled data and then labeled that data to train model. After predict unlabeled data by trained model, we adopted a method of adding the data with the highest probability for each class to the training data by a predetermined size. Futhermore, we also conducted some experiments to investigate the influence of the number of initially labeled data. As a result of the experiment, model reaches 92% accuracy which has a performance difference of around 5% compared to supervised learning. This is expected to improve the performance of the classifier by using relatively few labels without additional labeling processes through the proposed method.