• Journal of Gastric Cancer
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• v.6 no.4
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• pp.270-276
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• 2006

Purpose: The prognosis of Borrmann type IV gastric cancer is poorer than that of the other gastric carcinomas. We compared the clinicopathological features of Borrmann type IV gastric cancer with those of other types of cancer and analyzed the significance of a Borrmann type IV carcinoma as a prognostic factor Materials and Methods: We retrospectively reviewed the clinicopathologic features, TNM stage and survival rates of 4,389 gastric cancer patients who received surgical management at Samsung Medical Center between January 1995 and December 2004. Results: Patients with a Borrmann type IV gastric carcinoma had a more advanced stage than patients with other types of gastric carcinomas at the initial diagnosis, and the curative resection rate was lower. The 5-year survival rate of patients with Borrmann type IV cancer was 20.7%, and that of patients with other types of cancer was 50.3%. The 5-year survival rate of patients with Borrmann type IV gastric carcinomas was significantly lower than that of patients with other types of gastric carcinomas at the same TNM stage. In univariate and multivariate analyses, the depth of invasion, the nodal state, distant metastasis, the TNM stage, curability and the presence of a Borrmann type IV carcinoma were independent prognostic factors in cases of gastric cancer. Conclusion: Compared to the other types of gastric carcinomas, a Borrmann type IV carcinoma has unique clinicopathological features. The prognosis should be predicated considering the differences between Borrmann type IV qastric carcinomas and other types of gastric carcinomas, and multimodal and intensive therapies are needed in patients with a Borrmann type IV gastric carcinoma.

• Korean Journal of Food Science and Technology
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• v.41 no.4
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• pp.392-398
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• 2009

This study identified risk factors of cross-contamination of foodborne pathogens and established a good agricultural practice (GAP) system for an agricultural products processing center (APC) for perilla leaves. All samples were collected before and after a standard work shift at the APC, while perilla leaves were also collected after each step in the APC. In addition, the workers and their surroundings were sampled by swabbing. The total plate count (TPC) and coliform count in the water samples increased significantly (p<0.05) to 3.36 and 1.73 log CFU/mL after work, respectively. However, no Escherichia coli and Listeria monocytogenes were detected. The bacterial populations of the workers and their surroundings did not differ significantly (p${\geq}$0.05) before and after work. However, Staphylococcus aureus (<1.66 log CFU) was detected at a high rate (13-50%) in the basket, packing table, gloves and cloth. Although perilla leaves passed through the washing steps, the TPC and coliform bacterial populations on the final products were higher (p${\geq}$0.05) than those of unwashed perilla leaves, which indicates that the washing system was not functioning properly. Accordingly, a GAP system with a better washing system should be employed at this facility.

• The Korean Journal of Emergency Medical Services
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• v.22 no.1
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• pp.7-19
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• 2018

Purpose: With the purpose of educating and producing outstanding paramedics by enhancing their competencies, this study aimed to make policy suggestions to re-establish the education system and improve the national examination and the certification scheme. Methods: This study used focus group interviews and questionnaires to collect data. Totally, there were 277 subjects, including experts from the education and field. Data were collected from September 9 to 20, 2016, and analyzed using SPSS 22.0. Results: To strengthen the curriculum of paramedics, this study suggested 27 courses with 94 credits as the standardized curriculum and derived 9 core competencies of paramedics. For the national examination, this study suggested consolidating written test subjects, adding scenario questions to practical tests, and applying critical criteria to simple practical tests that performs a procedure, grading these tests on a pass/fail basis. In addition, this study suggested converting certification into license, reflecting paramedics' healthcare job characteristics. Conclusion: The quality of emergency medical services in Korea will improve when those with core competencies that originated from the standardized curriculum based on the results of this study acquire their certification through the national test scheme, and the certification management system creates a virtuous cycle to further enhance paramedics' professionalism.

• 대한공업교육학회지
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• v.39 no.1
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• pp.23-46
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• 2014

The purpose of this study was to analyze the textbooks of career counseling which are written or translated in Korean so as to understand the usefulness and limitation on the usage of career counseling textbooks. Research questions are as follows: 1) what contents are included in textbooks of career counseling? 2) what are the differences of content rates among textbooks of career counseling? 10 textbooks of career counseling were analysed(6 textbooks: introduction to career counseling, 4 textbooks: focused on career counseling skills and techniques) based on the competency components for career counseling professionals presented by Yoo(2009). Results indicated that 1) 6 textbooks of introduction to career counseling have the most content of 'category1: theories and concepts related to career counseling'. In comparison, 4 textbooks focused on career counseling skills and techniques have the most content of 'category4: career counseling competency'. 2) Based on the unit of analysis chapter, the highest rates are 'category4: career counseling competency(33.33%)' and 'category1: theories and concepts related to career counseling(28.15%)'. 3) It is hard to find the contents related to the knowledge and skills of individual and group counseling(category 2), the competencies of network, problem solving, peer counselor feedback, administration, ethic(category 8,9,10,11,13), the growth and self-management as professionals(category 12,14).

• 대한공업교육학회지
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• v.39 no.1
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• pp.1-22
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• 2014

The purpose of this research are to investigate and analyze requests of middle school students, parents and people in charge of human resources of industrial institutions and to suggest implications which are necessary to establish vocational high schools in Asan area. To achieve them, demands, for the establishment of vocational high schools, requests of desirable department, area, etc. which are recognized by middle school students, parents and people in charge of human resources of industrial institutions in Asan-si were surveyed and analyzed. The subjects of the survey were students and parents who were selected from one third grade class out of each of all the middle schools of Ansan-si. Also, for the people in charge of human resources of industrial institutions, industrial institutions including more than 10 employees were firstly sampled and selected. The number of students analyzed is 484, parents 458, industrial institutions 81, the results are as follows. First, among the third graders, there were 18.5% students who wanted to enter vocational high schools and 72.6% students that replied saying they may enter if vocational schools are established in Asan-si. Among them, 8.8% students replied that they will definitely enter. Second, among the parents, 30.8% wanted their children to enter vocational high schools and 76.9% replied that they may enter if vocational high schools are established in Asan-si. Among them, 8.4% replied that their children will enter certainly. Third, people in charge of human resources of industrial institutions replied that they may recruit 98.8 percent of graduates of vocational high schools in Asan area. Among them, they replied that 17.3% will be recruited certainly. For the replies of recruitment time, there were 49.4% of 'within 1 year', 30.9% of 'within 1~5 years' and for working, there were 60.8% of 'mechanical operators and assembly workers' and 31.6% of 'technicians and functional workers'. Fourth, for the most preferred departments when establishing vocational high schools in Asan-si, middle school students wanted hospitality management, parents were for electricity and electronics, industrial institutions replied with vehicle mechanics. By affiliation, more than the half of respondents wanted industrial affiliation. Fifth, for the most preferred departments when establishing vocational high schools in Asan-si, middle school students and parents preferred Onyang-dong, industrial institutions preferred Dunpo-myeon. Results showed that the most desirable areas were in the vicinity of one's own residential area.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.1-18
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• 2014

Over the past years RFID/SN has been an elementary technology in a diversity of applications for the ubiquitous environments, especially for Internet of Things. However, one of obstacles for widespread deployment of RFID technology is the inherent unreliability of the RFID data streams by tag readers. In particular, the problem of false readings such as lost readings and mistaken readings needs to be treated by RFID middleware systems because false readings ultimately degrade the quality of application services due to the dirty data delivered by middleware systems. As a result, for the higher quality of services, an RFID middleware system is responsible for intelligently dealing with false readings for the delivery of clean data to the applications in accordance with the tag reading environment. One of popular techniques used to compensate false readings is a sliding window filter. In a sliding window scheme, it is evident that determining optimal window size intelligently is a nontrivial important task in RFID middleware systems in order to reduce false readings, especially in mobile environments. In this paper, for the purpose of reducing false readings by intelligent window adaption, we propose a new adaptive RFID data cleaning scheme based on window sliding for a single tag. Unlike previous works based on a binomial sampling model, we introduce the weight averaging. Our insight starts from the need to differentiate the past readings and the current readings, since the more recent readings may indicate the more accurate tag transitions. Owing to weight averaging, our scheme is expected to dynamically adapt the window size in an efficient manner even for non-homogeneous reading patterns in mobile environments. In addition, we analyze reading patterns in the window and effects of decreased window so that a more accurate and efficient decision on window adaption can be made. With our scheme, we can expect to obtain the ultimate goal that RFID middleware systems can provide applications with more clean data so that they can ensure high quality of intended services.

• Journal of Intelligence and Information Systems
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• v.16 no.2
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• pp.73-94
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• 2010

The attending system is a medical system that allows doctors in clinics to use the extra equipment in hospitals-beds, laboratory, operating room, etc-for their patient's care under a contract between the doctors and hospitals. Therefore, the system is very beneficial in terms of the efficiency of the usage of medical resources. However, it is necessary to develop a strong support system to strengthen its weaknesses and supplement its merits. If doctors use hospital beds under the attending system of hospitals, they would be able to check a patient's condition often and provide them with nursing care services. However, the current attending system lacks delivery and assistance support. Thus, for the successful performance of the attending system, a networking system should be developed to facilitate communication between the doctors and nurses. In particular, the nursing records in the attending system could help doctors monitor the patient's condition and provision of nursing care services. A nursing record is the formal documentation associated with nursing care. It is merely a data repository that helps nurses to track their activities; nursing records thus represent a resource of primary information that can be reused. In order to maximize their usefulness, nursing records have been introduced as part of computerized patient records. However, nursing records are internal data that are not disclosed by hospitals. Moreover, the lack of standardization of the record list makes it difficult to share nursing records. Under the attending system, nurses would want to minimize the amount of effort they have to put in for the maintenance of additional records. Hence, they would try to maintain the current level of nursing records in the form of record lists and record attributes, while doctors would require more detailed and real-time information about their patients in order to monitor their condition. Therefore, this study developed a system for assisting in the maintenance and sharing of the nursing records under the attending system. In contrast to previous research on the functionality of computer-based nursing records, we have emphasized the practical usefulness of nursing records from the viewpoint of the actual implementation of the attending system. We suggested that nurses could design a nursing record dictionary for their convenience, and that doctors and nurses could confirm the definitions that they looked up in the dictionary through negotiations with intelligent agents. Such an agent-based system could facilitate networking among medical institutes. Multi-agent systems are a widely accepted paradigm for the distribution and sharing of computation workloads in the scientific community. Agent-based systems have been developed with differences in functional cooperation, coordination, and negotiation. To increase such communication, a framework for a multi-agent based system is proposed in this study. The agent-based approach is useful for developing a system that promotes trade-offs between transactions involving multiple attributes. A brief summary of our contributions follows. First, we propose an efficient and accurate utility representation and acquisition mechanism based on a preference scale while minimizing user interactions with the agent. Trade-offs between various transaction attributes can also be easily computed. Second, by providing a multi-attribute negotiation framework based on the attribute utility evaluation mechanism, we allow both the doctors in charge and nurses to negotiate over various transaction attributes in the nursing record lists that are defined by the latter. Third, we have designed the architecture of the nursing record management server and a system of agents that provides support to the doctors and nurses with regard to the framework and mechanisms proposed above. A formal protocol has also been developed to create and control the communication required for negotiations. We verified the realization of the system by developing a web-based prototype. The system was implemented using ASP and IIS5.1.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.73-91
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• 2013

Advertising market has been facing new challenges due to dramatic change in advertising channels and the advent of innovative media such as mobile devices. Recent research related to mobile devices is mainly focused on the fact that mobile devices could identify users'physical location in real-time, and this sheds light on how location-based technology is utilized to achieve competitive advantage in advertising market. With the introduction of smartphone, the functionality of smartphone has become much more diverse and context awareness is one of the areas that require further study. This work analyses the influence of context awareness value resulted from the transformation of advertising channel in mobile communication market, and our research result reflects recent trend in advertising market environment which is not considered in previous studies. Many constructs has intensively been studied in the context of advertising channel in traditional marketing environment, and entertainment, irritation and information are considered to be the most widely accepted variables that has positive relationship with advertising value. Also, in smartphone advertisement, four main dimensions of context awareness value are recognized: identification, activity, timing and location. In this study, we assume that these four constructs has positive relationship with context awareness value. Finally, we propose that advertising value and context awareness value positively influence smartphone advertising attitude. Partial Least Squares (PLS) structural model is used in our theoretical research model to test proposed hypotheses. A well designed survey is conducted for college students in Korea, and reliability, convergent validity and discriminant validity of constructs and measurement indicators are carefully evaluated and the results show that reliability and validity are confirmed according to predefined statistical criteria. Goodness-of-fit of our research model is also supported. In summary, the results collectively suggest good measurement properties for the proposed research model. The research outcomes are as follows. First, information has positive impact on advertising value while entertainment and irritation have no significant impact. Information, entertainment and irritation together account for 38.8% of advertising value. Second, along with the change in advertising market due to the advent of smartphone, activity, timing and location have positive impact on context awareness value while identification has no significant impact. In addition, identification, activity, location and time together account for 46.3% of context awareness value. Third, advertising value and context awareness value both positively influence smartphone advertising attitude, and these two constructs explain 31.7% of the variability of smartphone advertising attitude. The theoretical implication of our research is as follows. First, the influence of entertainment and irritation is reduced which are known to be crucial factors according to previous studies related to advertising value, while the influence of information is increased. It indicates that smartphone users are not likely interested in entertaining effect of smartphone advertisement, and are insensitive to the inconvenience due to smartphone advertisement. Second, in today' ubiquitous computing environment, it is effective to provide differentiated advertising service by utilizing smartphone users'context awareness values such as identification, activity, timing and location in order to achieve competitive business advantage in advertising market. For practical implications, enterprises should provide valuable and useful information that might attract smartphone users by adopting differentiation strategy as smartphone users are sensitive to the information provided via smartphone. Also enterprises not only provide useful information but also recognize and utilize smarphone users' unique characteristics and behaviors by increasing context awareness values. In summary, our result implies that smartphone advertisement should be optimized by considering the needed information of smartphone users in order to maximize advertisement effect.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.139-153
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• 2017

Corporate bankruptcy can cause great losses not only to stakeholders but also to many related sectors in society. Through the economic crises, bankruptcy have increased and bankruptcy prediction models have become more and more important. Therefore, corporate bankruptcy has been regarded as one of the major topics of research in business management. Also, many studies in the industry are in progress and important. Previous studies attempted to utilize various methodologies to improve the bankruptcy prediction accuracy and to resolve the overfitting problem, such as Multivariate Discriminant Analysis (MDA), Generalized Linear Model (GLM). These methods are based on statistics. Recently, researchers have used machine learning methodologies such as Support Vector Machine (SVM), Artificial Neural Network (ANN). Furthermore, fuzzy theory and genetic algorithms were used. Because of this change, many of bankruptcy models are developed. Also, performance has been improved. In general, the company's financial and accounting information will change over time. Likewise, the market situation also changes, so there are many difficulties in predicting bankruptcy only with information at a certain point in time. However, even though traditional research has problems that don't take into account the time effect, dynamic model has not been studied much. When we ignore the time effect, we get the biased results. So the static model may not be suitable for predicting bankruptcy. Thus, using the dynamic model, there is a possibility that bankruptcy prediction model is improved. In this paper, we propose RNN (Recurrent Neural Network) which is one of the deep learning methodologies. The RNN learns time series data and the performance is known to be good. Prior to experiment, we selected non-financial firms listed on the KOSPI, KOSDAQ and KONEX markets from 2010 to 2016 for the estimation of the bankruptcy prediction model and the comparison of forecasting performance. In order to prevent a mistake of predicting bankruptcy by using the financial information already reflected in the deterioration of the financial condition of the company, the financial information was collected with a lag of two years, and the default period was defined from January to December of the year. Then we defined the bankruptcy. The bankruptcy we defined is the abolition of the listing due to sluggish earnings. We confirmed abolition of the list at KIND that is corporate stock information website. Then we selected variables at previous papers. The first set of variables are Z-score variables. These variables have become traditional variables in predicting bankruptcy. The second set of variables are dynamic variable set. Finally we selected 240 normal companies and 226 bankrupt companies at the first variable set. Likewise, we selected 229 normal companies and 226 bankrupt companies at the second variable set. We created a model that reflects dynamic changes in time-series financial data and by comparing the suggested model with the analysis of existing bankruptcy predictive models, we found that the suggested model could help to improve the accuracy of bankruptcy predictions. We used financial data in KIS Value (Financial database) and selected Multivariate Discriminant Analysis (MDA), Generalized Linear Model called logistic regression (GLM), Support Vector Machine (SVM), Artificial Neural Network (ANN) model as benchmark. The result of the experiment proved that RNN's performance was better than comparative model. The accuracy of RNN was high in both sets of variables and the Area Under the Curve (AUC) value was also high. Also when we saw the hit-ratio table, the ratio of RNNs that predicted a poor company to be bankrupt was higher than that of other comparative models. However the limitation of this paper is that an overfitting problem occurs during RNN learning. But we expect to be able to solve the overfitting problem by selecting more learning data and appropriate variables. From these result, it is expected that this research will contribute to the development of a bankruptcy prediction by proposing a new dynamic model.

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.5
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• pp.73-81
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• 2008

The purpose of this study is to create a database of the use of landscape greenery that surrounds commercial buildings in Seoul. The method of this study was: to review preceding studies and related laws, survey areas, measure trees, and analyze the results. The 20 representative sites were specifically investigated to measure the width, direction, and environment of planting conditions. To analyze the greens adjacent to the building, the greens were divided into three types: front greenery, side greenery, and rear greenery. The study surveyed the distance from trees to adjacent buildings, and their planting conditions. The results of this study are as follows. First, 45% of the front greenery and 30% of the rear greenery were not established, but 19 of the 20 side greens were. Second, 13 of the 44 green areas adjacent to commercial buildings were under 1m in width. Most side greenery was belt -shape and unrelated to the features of the site or building. Third, the average distance from trees to buildings was 0.76m, indicating that most trees were planted too close to the buildings. Fourth, of the 30 trees utilized, the species breakdown was: 8 evergreen trees, 15 deciduous trees, and 7 shrubs. For the most part, planting patterns were similar for all species. Fifth, most sites were ill-suited to tree growth, because crown shape, planting conditions, and light conditions, etc., had not been considered. Based on these results, it is suggested that more specific, subdivided standards for planting conditions should be established. For example, building plans should include a green area that is at least one meter in width. In addition, according to the location and type(closing/opening) of the greenery adjacent to the buildings, suitable management programs and supervision protocol should be adopted.