• The Korean Society of Law and Medicine
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• v.15 no.1
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• pp.263-302
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• 2014

The court handed down meaningful rulings related to medical sectors in 2013. This paper presents the ruling that the care workers could be the performance assistants of the care-giving service although the duties of care worker are not included in the liability stipulated in the medical contract signed with the hospital for reason of clear distinction of duties between care workers and nurses within the hospital in connection with the contract which was entered into between the hospital and patients. In relation to negligence and causal relationship, the court recognized medical negligence associated with the failure to detect the brain tumor due to the negligent interpretation of MRI findings while rejecting the causal relationship with consequential cerebral hemorrhage. The court also recognized negligence based on the observation on the grounds of inadequate medical records in a case involving the hypoxic brain damage caused during the cosmetic surgery. In terms of the scope of compensation for damages, this paper presents the ruling that the compensation should be estimated based on causal relationship only in case the breach of the 'obligation of explanation' is recognized, however rejecting the reparation for de factor property damages in the form of compensation, and the ruling that the lawsuit could be instituted in case that the damages exceeded the agreed scope despite the agreement that the hospital would not be held responsible for any aftereffects of surgery from the standpoint of lawsuit, along with the ruling that recognized the daily net income by reflecting the unique circumstances faced by individual students of Korean National Police University and artists of Western painting. Many rulings were handed down with respect to medical certificate, prescription, etc., in 2013. This paper introduced the ruling which mentioned the scope of medical certificate, the ruling that related to whether the diagnosis over the phone at the issuance of prescription could constitute the direct diagnosis of patient, along with the ruling that required the medical certificate to be generated in the name of doctor who diagnosed the patients, and the ruling which proclaimed that it would constitute the breach of Medical Act if the prescription was issued to the patients who were not diagnosed. Moreover, this paper also introduced the ruling that related to whether the National Health Insurance Service could make claim to the hospitals for the reimbursement of the health insurance money paid to pharmacies based on the prescription in the event that the hospitals provided prescription of drugs to outpatients in violation of the laws and regulations.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.401-404
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• 2008

Bridges are exposed to very severe environment and experience, as service life increased, elevated traffic load and traffic flow, in addition to natural disasters. In comparing to other road structures, bridges may cause more significant damage, such as human-involved accidents, to the society in the event of collapse. A certain level of service shall be necessarily secured to assure the minimum safety of users. The cost for manage and preserve bridges will increase gradually and more restrictions will be loaded to efficiently distribute the limited resources, such as monetary budget and human resource etc. In order to enhance performance and serviceability of bridges with the limited resource, asset management technique has been applied into the bridge management system, which capitalizes the road infrastructures including bridges and assess them in accordance with the government finance report. In the application of asset management, there must be a tool for assess the performance of bridges and this study introduces the basic information on the definition and role of performance measures for asset management for bridges.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.177-197
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• 2015

The purpose of this study is to identify the relationship between acculturation stress and university adjustment and moderating role of social support in Foreign students majoring tourism at universities in korea. Data was collected from 250 Foreign students. Then the data and hypotheses were examined using multiple regression analysis and hierarchial regression analysis using SPSS 18.0. The result of this study is as follows. Acculturation stress was negatively related with university adjustment and social support positively moderate the relationship between acculturation stress and university adjustment. Social support is suggested to reduce the negative results of acculturation stress and had a positive direct effect on university adjustment. Findings were this study provide a comprehensive understanding on university adjustment for Foreign students studying in korea. also, acculturation stress, university adjustment and social support were significant variable of institutional attachment. Finally, this study suggested that the university should develop international students program based on cultural difference and more studies are need to identify additional different factors that affect acculturative stress as well as to develop students intervention program for physical and psychological support.

• Journal of the Korea institute for structural maintenance and inspection
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• v.20 no.4
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• pp.128-135
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• 2016

In the current concrete structure of the highway is still the major problem most of concrete deterioration caused by the freeze-thaw and deicing salt, which is of issues that are not completely resolved. In particular, a single freezing event does not cause much harm, durability of concrete under multi-deterioration environment by repeated freeze-thaw and deicing salt is rapidly degraded and reduce its service life. In this study, the exposure environmental condition according the regional highway points were established. The damage condition and chloride content of the concrete at general and severe environmental exposure condition were also investigated. In addition, the experimental test of chloride ion permeability, scaling resistant and freeze-thaw resistance were carried out to improve the durability of the mechanical placing concrete of subsidiary structure. According to the results of this study, in observation of concrete surface condition, the concrete exposed by severe environmental condition showed broad ranges of damage with high chloride contents. Meanwhile, the water-binder(W/B) ratio and the less water content, and fly ash concrete than the specified existing mix proportion is significantly improved the durability. Also, the optimal mix proportion derived for test is satisfied the strength and air contents, water-binder ratio, and durability criteria of concrete specifications, as well as service life seems greatly improved.

• International Area Studies Review
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• v.20 no.2
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• pp.25-46
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• 2016

In order to newly expand and define the concept of "strategic servitization" based on Industry 4.0, this study tried to evaluate the existing status of domestic and foreign servitized manufacturing and investigated the servitization cases of some leading overseas companies. In addition, we chose 250 samples of manufacturing firms listed on KOSDAQ and collected a vast amount of data regarding servitized manufacturing, such as the current status about new businesses, profit model, and financial fluctuations of each company. Based on these data, we classified the main types of manufacturing-service convergence into a $2{\times}2$ framework and derived a new strategic servitization model for each type of signature. Furthermore, we divided the sample corporations into three groups, which are pure manufacturer, servitized firm, and strategic servitized firm, and through the mutual comparison of the real sales amounts and the estimated sales amounts by time-series extrapolation analysis, we statistically proved that the service sales of strategic servitized firms give positive impacts on ROA when compared with those of the other two groups. Finally, we selected 12 leading domestic strategic-servitized firms, interviewed them in depth, and not only organized the issues during this process and their solutions by categories but also suggested the policy demands for strategic servitization.

• Korean Journal of Clinical Pharmacy
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• v.32 no.3
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• pp.215-225
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• 2022

Background: Patients with hematologic cancers have a risk of drug-related problems (DRPs) from medications associated with chemotherapy and supportive care. Although the role of oncology pharmacists has been widely documented in the literature, few studies have reported its impact on cost reduction. This study aimed to describe the activities of oncology pharmacists with respect to hematologic diseases and evaluate the associated cost avoidance. Methods: From January to July 2021, patients admitted to the department of hemato-oncology at Seoul National University, Bundang Hospital were studied. The activities of oncology pharmacists were reported by DRP type following the Pharmaceutical Care Network version 9.1 guidelines, and the acceptance rate was calculated. The avoided cost was estimated based on the cost of the pharmacy intervention, pharmacist manpower, and prescriptions associated with the intervention. Results: Pharmacists intervened in 584 prescriptions from 208 patients during the study period. The most prevalent DRP was "adverse drug event (possibly) occurring" (32.4%), followed by "effect of drug treatment not optimal" (28.6%). "Drug selection" (42.5%) and "dose selection" (30.3%) were the most common causes of DRPs. The acceptance rate of the interventions was 97.1%. The total avoidance cost was KRW 149,468,321; the net profit of the avoidance cost, excluding labor costs, was KRW 121,051,690; and the estimated cost saving was KRW 37,223,748. Conclusion: Oncology pharmacists identified and resolved various types of DRPs from prescriptions for patients with hematologic disease, by reviewing the prescriptions. Their clinical service contributed to enhanced patient safety and the avoidance of associated costs.

• Korean Journal of Veterinary Service
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• v.45 no.2
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• pp.117-124
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• 2022

In the event of an outbreak of a livestock epidemic, it has been considered that the existing burial-centered carcass disposal method should be improved ecofriendly for prevention of leachate and odors from burial basically in regard of pathogen inactivation. Therefore, the aim of this study is whether it was possible to treat the carcass of cattle and chickens using the chemical carcass treatment method. It was conducted to establish detailed treatment standards for the chemical treatment method of cattle and chicken carcasses based on the results of the proof of the absence of infectious diseases in cattle chickens. After inoculating cattle carcass with 10 pathogens (foot and mouth disease virus, bovine viral diarrhea virus, Mycobacterium bovis, Mycobacterium avium subsp. Paratuberculosis, Brucella abortus, Bacillus anthracis, Clostridium chauvoei, Clostridium perfringens, Escherichia coli, and Salmonella Typhimurium) and chicken carcasses with low pathogenic avian influenza virus, Clostridium perfringens type C, E. coli and Salmonella Typhimurium, these were treated at 90℃ for 5 hours in a potassium hydroxide liquid solution corresponding to 15% of the body weight. This method liquefies all cadaveric components and inactivates all inoculated pathogens by PCR and culture. Based on these results, it was possible to prove that chemical treatment of cattle and chicken carcasses is effective in killing pathogens and is a safe method without the risk of disease transmission. The chemical treatment method of livestock carcasses can be suggested as an alternative to the current domestic burial-centered livestock carcass treatment method, preventing environmental pollution, and contributing to public health.

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.127-143
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• 2023

Currently, the domestic traditional market has not escaped the swamp of stagnation that began in the early 2000s despite various projects promoted by many related players such as the central government and local governments. In order to overcome the crisis faced by the traditional market, various R&Ds have recently been conducted on how to build a smart traditional market that combines information and communication technologies such as big data analysis, artificial intelligence, and the Internet of Things. This study analyzes various previous studies, users of traditional markets, and application cases of ICT technology in foreign traditional markets since 2012 and proposes a model to build a smart traditional market using ICT technology based on the analysis. The model proposed in this study includes building a traditional market metaverse that can interact with visitors, certifying visits to traditional markets through digital signage with NFC technology, improving accuracy of fire detection functions using IoT and AI technology, developing smartphone apps for market launch information and event notification, and an e-commerce system. If a smart traditional market platform is implemented and operated based on the smart traditional market platform model presented in this study, it will not only draw interest in the traditional market to MZ generation and foreigners, but also contribute to revitalizing the traditional market in the future.

• Journal of Advanced Navigation Technology
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• v.25 no.6
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• pp.562-568
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• 2021

Seat reservations and civil complaints in the library reading room have been done face-to-face by managers, and efficient management has been difficult. In addition, there is a problem that it is difficult to take action in the event of a civil complaint due to user inconvenience, such as a noise problem between users in the reading room. In this study, an online reservation system was developed for efficient management of seats in the library reading room so that it could be serviced non-face-to-face. In addition, when using the library reading room, it is possible to apply for non-face-to-face civil complaints when complaints occur due to noise problems between users, loss of belongings, and snoring during the user's sleep. Managers can smoothly manage library reading rooms through non-face-to-face inconvenience reports. It is possible to increase the satisfaction of using the library by resolving the inconvenience of users. The developed service app allows seat reservations and anonymous inconvenience reports. The administrator can check the received inconvenience report and warn the user of the seat with an IoT sensor-based LED. When corrective action is completed, the result of the action may be fed back to the reporter.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.73-85
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• 2013

Nowadays, in today's information society, the importance of the knowledge service using the information to creative value is getting higher day by day. In addition, depending on the development of IT technology, it is ease to collect and use information. Also, many companies actively use customer information to marketing in a variety of industries. Into the 21st century, companies have been actively using the culture arts to manage corporate image and marketing closely linked to their commercial interests. But, it is difficult that companies attract or maintain consumer's interest through their technology. For that reason, it is trend to perform cultural activities for tool of differentiation over many firms. Many firms used the customer's experience to new marketing strategy in order to effectively respond to competitive market. Accordingly, it is emerging rapidly that the necessity of personalized service to provide a new experience for people based on the personal profile information that contains the characteristics of the individual. Like this, personalized service using customer's individual profile information such as language, symbols, behavior, and emotions is very important today. Through this, we will be able to judge interaction between people and content and to maximize customer's experience and satisfaction. There are various relative works provide customer-centered service. Specially, emotion recognition research is emerging recently. Existing researches experienced emotion recognition using mostly bio-signal. Most of researches are voice and face studies that have great emotional changes. However, there are several difficulties to predict people's emotion caused by limitation of equipment and service environments. So, in this paper, we develop emotion prediction model based on vision-based interface to overcome existing limitations. Emotion recognition research based on people's gesture and posture has been processed by several researchers. This paper developed a model that recognizes people's emotional states through body gesture and posture using difference image method. And we found optimization validation model for four kinds of emotions' prediction. A proposed model purposed to automatically determine and predict 4 human emotions (Sadness, Surprise, Joy, and Disgust). To build up the model, event booth was installed in the KOCCA's lobby and we provided some proper stimulative movie to collect their body gesture and posture as the change of emotions. And then, we extracted body movements using difference image method. And we revised people data to build proposed model through neural network. The proposed model for emotion prediction used 3 type time-frame sets (20 frames, 30 frames, and 40 frames). And then, we adopted the model which has best performance compared with other models.' Before build three kinds of models, the entire 97 data set were divided into three data sets of learning, test, and validation set. The proposed model for emotion prediction was constructed using artificial neural network. In this paper, we used the back-propagation algorithm as a learning method, and set learning rate to 10%, momentum rate to 10%. The sigmoid function was used as the transform function. And we designed a three-layer perceptron neural network with one hidden layer and four output nodes. Based on the test data set, the learning for this research model was stopped when it reaches 50000 after reaching the minimum error in order to explore the point of learning. We finally processed each model's accuracy and found best model to predict each emotions. The result showed prediction accuracy 100% from sadness, and 96% from joy prediction in 20 frames set model. And 88% from surprise, and 98% from disgust in 30 frames set model. The findings of our research are expected to be useful to provide effective algorithm for personalized service in various industries such as advertisement, exhibition, performance, etc.