• Cross-Cultural Studies
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• v.22
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• pp.279-301
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• 2011

This paper is aimed to examine the current research and educational problems of foreign studies in Korean universities and review some alternative ways. Area studies as foreign studies have several characteristics which are different from those of the other research disciplines. It is a research and educational program that promotes comprehensive understanding about political, economic, social, and cultural phenomena of a specific area in the world. For better understand 'others', researchers in the field of area studies must explain the whole mechanism of the area, which could be revealed in terms of the very existence of its reality. Foreign studies are accomplished with joint-research method, collaborating two or more different research disciplines and based on the contemporary system of knowledge accumulation and educational program. Therefore, the critical issue can be gradually taken on a political and social characteristic. At this point, research and educational manner in foreign studies field in Korea should be changed to secure the academic reflections of temporality, sociality, placeness using a new paradigm such as complexity.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.369-372
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• 2021

Scheduling the movements of trains in the modern railway system is becoming essential and important. Swiss Federal Railway Company (SBB) and machine learning researchers began collaborating to make a simulation environment and held a Flatland challenge. In this paper, the methodologies of the winners of this competition are analyzed to achieve insight and research trends. This problem is similar to the Multi-Agent Path Finding (MAPF) and Vehicle Rescheduling Problem (VRSP). The potential of the attempted methods from the Flatland challenge to be applied to various transportation systems as well as railways is discussed.

• Journal of Sensor Science and Technology
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• v.33 no.3
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• pp.119-124
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• 2024

Effective fire sensing is important to protect lives and property from the disaster. In this paper, we present an intelligent visual sensing method for detecting fires based on machine learning techniques. The proposed method involves a two-step process. In the first step, fire and non-fire images are used to train a convolutional neural network (CNN), and in the next step, feature vectors consisting of 256 values obtained from the CNN are used for the learning of a support vector machine (SVM). Linear and nonlinear SVMs with different parameters are intensively tested. We found that the proposed hybrid method using an SVM with a linear kernel effectively increased the recall rate of fire image detection without compromising detection accuracy when an imbalanced dataset was used for learning. This is a major contribution of this study because recall is important, particularly in the sensing of disaster situations such as fires. In our experiments, the proposed system exhibited an accuracy of 96.9% and a recall rate of 92.9% for test image data.

• Journal of the Korea Safety Management & Science
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• v.10 no.1
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• pp.11-22
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• 2008

Humans are well-known for being adept at using intuition and expertise in many situations. However, human experts are still susceptible to errors in judgment or execution, and failure to recognize the limits of knowledge. This would happen especially in semi-structured situations, in multi-disciplinary settings, under time or other stress, under uncertainty, or when knowledge is outdated Human errors are caused by cognitive biases, attentional slips/memory lapses, cultural motivations, and missing knowledge. The purpose of this research is to study errors of human experts committed in judgment and the general idea of critiquing systems as corresponding plan. Compared to expert systems, critiquing systems are narrowly focused programs useful in limited situations for collaborating with and supporting experts in their task activities. It supports an expert by detecting the human's errors by deploying various strategies that stimulate humans to improve their performance. A variety of types of critiquing systems has spread through numerous application areas.

• Korea Journal of Hospital Management
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• v.16 no.4
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• pp.67-84
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• 2011

The open Hospital Attending Physician System has been discussed and operated for developing the efficiency and the substitutes for an increase in medical expenses, for overlapping investment in medical resources, and for normalization of medical delivery system. This study assessed the related factors to the acceptance and introduction of Attending Physicians on ophthalmologist. Data was collected mail response to 179 ophthalmologists in 2005. Applying multilevel logistic regression, we examined the relationship between their acknowledgment, attitude and acceptance of the open Hospital Attending Physicians System. The percentage of participation in Hospital Attending was indicated to be 3.9%. The 44.7% of all participants agreed to adopting the Hospital Attending, 33.5% of doctors are willing to participate in the future. The positive and normal attitude of physician toward the Hospital Attending is 6.6 times (95%CI 1.315, 33.138) and 55.2 times(95%CI 11.352, 268.347) more than that of negative after adjustment for other variables. Attitude was found to be the important factor influencing physicians' participation in the Attending Hospital. Thus, it is need to development and implication for the strategies that lead the practical necessity and positive attitude toward the Attending Hospital.

• Journal of Digital Contents Society
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• v.8 no.4
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• pp.521-529
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• 2007

In this paper, we introduce a music recommendation system that automatically recommends music according to users' musical tastes. The recommendation system uses a graph-based collaborating filtering in which similarities between musics are saved as a graph, and so it can perform fast recommendation based on the implicit preference information. It also has capability of recommending music according to users' dynamically changing preferences as well as users' static preferences. The recommendation server is implemented as an independent server using Java, and communicates with clients according to a specified protocol. A demo web site has been built by using the server and music download data from actual users, and the accuracy of recommendation has been measured through experiments.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.18 no.1
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• pp.116-129
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• 2011

Purpose: The purpose of this study was to develop a computer decision making support system that enables nurses to utilize the computer in selecting the best decision for pain management for patients with dementia institutionalized in nursing homes. Methods: To formulate the protocol for the management of patients' pain, the researcher analyzed content of interviews with 30 nurses in three nursing homes and an expert group. A decision support computer program was formalized based on existing protocols. To evaluate the effectiveness and applicability of the system, analysis of data on patient pain management and nurse satisfaction with the system were done after the formalized decision support computer program was complete. Results: The decision support computer program for pain management for institutionalized patients with dementia was finalized after adjustments following the evaluation. Nurse satisfaction with the program was moderate. It also provided opportunity to reassess thinking about pain and pain management. Conclusions: The results indicate that this program provides nurses with useful knowledge for pain management in institutionalized patients with dementia and aids in decision making in nursing practice in nursing home.

• Journal of Chest Surgery
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• v.54 no.2
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• pp.88-98
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• 2021

Background: This study aimed to develop a new risk prediction model for operative mortality in a Korean cohort undergoing heart valve surgery using the Korea Heart Valve Surgery Registry (KHVSR) database. Methods: We analyzed data from 4,742 patients registered in the KHVSR who underwent heart valve surgery at 9 institutions between 2017 and 2018. A risk prediction model was developed for operative mortality, defined as death within 30 days after surgery or during the same hospitalization. A statistical model was generated with a scoring system by multiple logistic regression analyses. The performance of the model was evaluated by its discrimination and calibration abilities. Results: Operative mortality occurred in 142 patients. The final regression models identified 13 risk variables. The risk prediction model showed good discrimination, with a c-statistic of 0.805 and calibration with Hosmer-Lemeshow goodness-of-fit p-value of 0.630. The risk scores ranged from -1 to 15, and were associated with an increase in predicted mortality. The predicted mortality across the risk scores ranged from 0.3% to 80.6%. Conclusion: This risk prediction model using a scoring system specific to heart valve surgery was developed from the KHVSR database. The risk prediction model showed that operative mortality could be predicted well in a Korean cohort.

• Korean Medical Education Review
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• v.16 no.1
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• pp.16-24
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• 2014

The development of information technology (IT) has led to changes in medical education. IT has been used for e-learning and e-teaching, e-assessment, e-logistics, and e-administration. Pusan National University School of Medicine has developed its own educational information system using IT to support students' learning and assessment and to manage curricular activities. Based on our experience, we propose six suggestions for designing new software, specifically regarding simplifying the design for users, communication with the programmer, a rapid cycle from design to implementation, orientation support for users, backup and security support, and obtaining patents. Collaborating with the Department of Medical Informatics within the School of Medicine has advantages, and an alliance among medical schools can simplify the development of software. In any case, curricular innovation should precede the introduction of technology because all technologies should support curricular goals.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.10
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• pp.4953-4958
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• 2012

The purpose of this study was to determine how nurses recognize the need for supportive care of advanced cancer patients and to provide preliminary data on how adequate circumstances are to be set up and maintained in Korea. For the purpose of this study, we developed a preliminary questionnaire based on a focus group of 8 nurses run by a clinical psychologist and administered it to 228 nurses in a cancer hospital, over a 3-month period. Participants of this study were nurses with more than 5 years' experience of treating advanced cancer patients. The result showed that 207 respondents (90.8%) agreed that a smooth communication system for treatment taking into account the symptoms experienced by patients and rehabilitation issues was needed. More than 80% agreed that the items needed for an integrated management service for advanced cancer patients should include psychological support, an integrated pain and symptom management, and education for the patient and his or her caregivers. These results strongly suggest that a new system distinct from palliative care or hospices is needed for patients with advanced cancer in Korea.