• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6919-6924
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• 2013

Background: Between 1998-2009 South Korea experienced significant progress in reducing the male smoking rate from 66.3% to 46.9%. As part of a significant government effort in the area of smoking cessation intervention, the Korean government implemented the national "Smoking Cessation Clinics (SCC)" program in 2004. Materials and Methods: Data covered 804,334 adult male smokers participating in SCC program at 253 public health centers between 2006-2009. We examined participant cessation rates with the SCC program, their characteristics and program intervention components using health insurance status as a socioeconomic status (SES) indicator. Multivariate logistic regression analyses were performed correcting for intra-class correlations within public health centers. Results: The overall 6-month quit rate was high (46.8%). Higher odds of smoking cessation were positively associated with higher levels of behavioral counseling sessions, but not nicotine replacement therapy (NRT). Cessation rates were lower for Medicaid participants than for regular health insurance participants. Disadvantaged younger smokers were less likely to participate in the program. Older smokers were more likely to quit regardless of SES. Stress was cited as major reason for failure. Conclusions: SES inequalities across different age groups exist in smoking cessation among Korean adult male smokers. There is a need for intervention programs specifically targeting sub-populations of SES by different age groups.

• The Journal of Society for e-Business Studies
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• v.25 no.2
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• pp.49-63
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• 2020

The accurate prediction of box office in the early stage is crucial for film industry to make better managerial decision. With aims to improve the prediction performance, the purpose of this paper is to evaluate the use of machine learning methods. We tested both classification and regression based methods including k-NN, SVM and Random Forest. We first evaluate input variables, which show that reputation-related information generated during the first two-week period after release is significant. Prediction test results show that regression based methods provides lower prediction error, and Random Forest particularly outperforms other machine learning methods. Regression based method has better prediction power when films have small box office earnings. On the other hand, classification based method works better for predicting large box office earnings.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.255-260
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• 2011

The security issue in urban transit system has been widely considered as the common matters. The safe urban transit system is highly demanded because of the vast number of daily passengers, and providing safety is one of the most challenging projects. We introduced a test model for integrated security system for urban transit system and built it at a subway station to demonstrate its performance. This system consists of cameras, sensor network and central monitoring software. We described the smart camera functionality in more detail. The proposed smart camera includes the moving objects recognition module, video analytics, video encoder and server module that transmits video and audio information. We demonstrated the system's excellent performance.

• School Mathematics
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• v.12 no.3
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• pp.323-335
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• 2010

Linear algebra is not only applied comprehensively in the branches of mathematics such as algebra, analytics, and geometry but also utilized for finding solutions in various fields such as aeronautical engineering, electronics, biology, geology, mechanics and etc. Therefore, linear algebra should be easy and comfortable for not only mathematics majors but also for general students as well. However, most find it difficult to learn linear algebra. Why is it so? It is because many studying linear algebra fail to achieve a correct understanding or attain erroneous concepts through misleading knowledge they already have. Such cases cause learning disability and mistakes. This research suggests more effective method of teaching by analyzing difficulty and errors made in learning system of linear equations.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.8-19
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• 2020

We see an energy fucused smart city evolution of the UK along with the project of "Smart London Plan (SLP)." A theoretical logic of business model innovation has been discussed and a research framework of evolving energy focused smart city is formulated. The starting point is the silo system. In the second stage, the private investment in smart meters establishes a basement for next stages. As results, the UK's smart energy sector has evolved from smart meter installation through smart grid to new business models such as water-energy nexus and microgrid. Before smart meter installation of the government, the electricity system was centralized. However, after consumer engagement plan has been set to make them understand benefits that they can secure through smart meters, the customer behavior has been changed. The data analytics firm enables greater understanding of consumer behavior and it helps energy industry to be smart via controlling, securing and using that data to improve the energy system. In the third stage, distribution network operators (DNOs)' access to smart meter data has been allowed and the segmentation starts. In the fourth stage, with collaboration of Ofwat and Ofgem, it is possible to eliminate unnecessary duplication of works and reduce interest conflict between water and electricity. In the fifth stage, smart meter and grid has been integrated as an "adaptive" system and a transition from DNO to DSO is accomplished for the integrated operation. Microgrid is a prototype for an "adaptive" smart grid. Previous steps enable London to accomplish a platform leadership to support the increasing electrification of the heating and transport sector and smart home.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.2
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• pp.397-404
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• 2018

As the usage of internet is increasing, a lot of user behavior are written in a log file and the researches and industries using the log files are getting activated recently. This paper uses the Hadoop based on open source distributed computing platform and proposes a customized tourism system by analyzing user behaviors in the log files. The proposed system uses Google Analytics to get user's log files from the website that users visit, and stores search terms extracted by MapReduce to HDFS. Also it gathers features about the sight-seeing places or cities which travelers want to tour from travel guide websites by Octopus application. It suggests the customized cities by matching the search terms and city features. NBP(next bit permutation) algorithm to rearrange the search terms and city features is used to increase the probability of matching. Some customized cities are suggested by analyzing log files for 39 users to show the performance of the proposed system.

• The Journal of Society for e-Business Studies
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• v.18 no.2
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• pp.47-67
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• 2013

With the emergence of indirect procurement, it has become a global trend for companies to outsource their maintenance, repair, and operating (MRO) supplies to procurement service providers (PSPs). Due to the variety of MRO items, evaluation of numerous suppliers in various industries is a particularly complex task for PSPs. Due to this complexity, many PSPs still evaluate and select suppliers based on the sourcing managers' subjective knowledge. Through the case of adopting a supplier evaluation system, this research is to find the managerial issues organizations should consider when they transform sourcing managers' knowledge into the system. We interpret the issues based on the Technology-Organization-Environment (TOE) framework. This case conclusively shows the importance of positive feedback loop between the users and the information system for the performance improvement of the system.

• Journal of Korean Society for Quality Management
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• v.46 no.1
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• pp.1-10
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• 2018

Purpose: This paper provides an idea on the future prospect for change in steps of the six sigma DMAIC project under the environment of the 4th industrial revolution. Methods: First, the purpose and activities required in each step of DMAIC are reviewed. Next, activities are reviewed together with tools and techniques, considering the purpose and the environmental changes of the 4th Industrial Revolution. Finally, the best approaches for achieving the purpose are prospected to get an idea on future change. Results: The purpose of each phase of DMAIC is expected to remain unchanged. But activities, techniques, or methods will be replaced with more effective and efficient ones. Also, many activities may possibly be executed by a system instead of people like BB, GB or team members. Moreover, DMAIC may not be a project any more but a routine job of the system in the future. Conclusion: Under the environment of the 4th industrial revolution, many activities including analyzing various types of data and extracting valuable information, will be executed by a system with proper algorithms instead of people. And six sigma improvement projects may be intrinsic parts of the system and may not exist as separate projects any more.

• Health Policy and Management
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• v.30 no.1
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• pp.82-91
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• 2020

Background: This study investigates the influence factors of medical service variations using medical charge and the length of stay (LOS) for urinary incontinence surgery and uterine polypectomy. Methods: The National Health Insurance claims data and Medical Resource Report by the Health Insurance Review & Assessment Service in 2016 were used. Frequency analysis, one-way analysis of variance, and Bonferroni post-hoc tests were executed for each surgery. A multilevel analysis was executed to assess the factors to the medical charge and LOS for each surgery in patient, doctor, and hospital level. Results: Fifty-two point eight percent of urinary incontinence surgery and 87.1% of uterine polypectomy were distributed in general and tertiary hospitals. Among three levels, the patient level variation was 61.5% or 77.2% in medical charge and 93.9% or 96.3% in LOS, respectively. The doctor level variation was 29.6% or 22.6% in medical charge and 0.6% or 0.0% in LOS, respectively. The institution level variation was 8.9% or 0.2% in medical charge and 5.5% or 3.7% in LOS, respectively. Number of other disease and organizational type were main factors that affected the charge and LOS for urinary incontinence surgery and uterine polypectomy. Conclusion: Medical service variations of the urinary incontinence surgery and uterine polypectomy were the largest for the patient level, followed by doctor level for the medical charge, and the institution level for the LOS.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.11
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• pp.3384-3389
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• 2009

There are two major problems with current National GAP system. One was false in traceability record because it was written or inputted by farmers or distributers and no other measures to check the accuracy was valid. The other was incapability of tracking back and recalling the contaminated agricultural products. For solving these matters, IT convergence model which combined information technology with agricultural experience is elaborated. In IT convergence model, video analytic system classifies every activity depending on the pre-programmed farming process and create the traceability data automatically. Also real time trace system based on USN would solve the problem of tracking back. This system transmits the present location and monitors data of agricultural products from farm to table at all times.