• KIISE Transactions on Computing Practices
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• v.21 no.1
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• pp.46-51
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• 2015

The explosive growth of data and the rapidly changing technical social evolution new analysis paradigm for predicting and reacting the future the past and present ig data. Prescriptive analysis has a fundamental difference because can support specific behaviors and results according to user's goals with defin researchers establish judgments and activities achiev the goals. However research methods not widely implemented and even the terminology, Prescriptive analysis, is still unfamiliar. This paper thus propose an infrastructure in the prescriptive analysis field with key considerations for enhancing capability of researchers through a case study based on InSciTe Advisory developed with scientific big data. InSciTe Advisory system s developed in 2013, and offers a prescriptive analytics report which contains various As-Is analysis results and To-Be analysis results 5W1H methodology. InSciTe Advisory therefore shows possibility strategy aims to reach a target role model group. Through the availability and reliability of the measurement model the evaluation results obtained relative advantage of 118.8% compared to Elsevier SciVal.

• KIISE Transactions on Computing Practices
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• v.22 no.1
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• pp.38-43
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• 2016

Recent developments regarding transportation technology have positioned travel as a major leisure activity; however, trip-itinerary planning remains a challenging task for tourists due to the need to select Points of Interest (POI) for visits to unfamiliar cities. Meanwhile, due to the GPS functions on mobile devices such as smartphones and tablet PCs, it is now possible to collect a user's position in real time. Based on these circumstances, our research on an automatic itinerary-planning system to simplify the trip-planning process was conducted briskly. The existing studies that include research on itinerary schedules focus on an identification of the shortest path in consideration of cost and time constraints, or a recommendation of the most-popular travel route in the destination area; therefore, we propose a personalized itinerary-recommendation system for which the stay-time preference of the individual user is considered as part of the personalized service.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.198-207
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• 2013

This study was to examine the effects of risk characteristic and risk perception on risk severity of natural disaster. The findings showed that the risk severity of natural disaster were classified into geographical disaster, storm and flood damage, drought damage. Typhoon among storm and flood damage showed high scores on risk severity of natural disaster. Moreover participants showed high scores on unfamiliar, undiscoverable, and unknown by scientific knowledge among risk characteristic of natural disaster. Second, risk characteristic was significantly correlated to risk perception. Third, risk characteristic influenced positively on risk severity of natural disaster. Especially, risk characteristic had great effect on storm and flood damage among natural disaster. Fourth, risk perception influenced positively on risk severity of natural disaster. Especially, risk perception had great effect on storm and flood damage among natural disaster.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.414-425
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• 2015

Purpose: This study was conducted to explore the experience of smart-home healthcare among older adults who had participated in the smart-home technology development project. Methods: Data were collected by focus group interviews with 7 hypertension or diabetes participants(mean age 75 years). Qualitative contents analysis was used to analyze the verbal data. Results: The results were composed of 27 meanings units, 10 categories and 6 themes. The 6 themes are: 'improvement of health conditions through anytime anywhere self-monitoring', 'attractive experience to be counselling at home', 'frequent system and telecommunication problems', 'unfamiliar devices for elderly users', 'complementary strategies for activation', 'advancement of elderly-friendly devices and programs'. Conclusion: The smart-home healthcare system should be developed based on older adults' preferences. It is essential to make progress with professional resources and organizational supports in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.1-12
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• 2017

Traffic accidents are caused by a combination of human factors, vehicle factors, and environmental factors. In the case of traffic accidents where rental cars are involved, the possibility and the severity of traffic accidents are expected to be different from those of other traffic accidents due to the unfamiliar environment of the driver. In this study, we developed a model to forecast the severity of rental car accidents by using Naive Bayes classifier for Busan, Gangneung, and Jeju city. In addition, we compared the prediction accuracy performance of two models where one model uses the variables of which statistical significance were verified in a prior study and another model uses the entire available variables. As a result of the comparison, it is shown that the prediction accuracy is higher when using the variables with statistical significance.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.59-67
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• 2018

There are not that many m-health related services limited to the elderly. Many of the elderly who are at risk of dementia are unfamiliar to smart devices, so it is required to design an user-customized App. Therefore, I design and embody a mobile voice alert integrated app, which enables voice input to increase the accessibility of the elderly, so as to prevent diseases caused by declined cognitive function such as dementia. I conducted interviews and questionnaire after having the students use the app in Lifelong Education Center in H region of Gyeongbuk, and the analysis result has showed the high satisfaction. It is expected that it will be able to play a key role for M-Health service for the elderly since it is possible to prevent dementia through the voice health care alert app. I would like to learn deep learning in the future to predict the life patterns and the possibility of dementia of the elderly.

• Journal of Korean Elementary Science Education
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• v.25 no.4
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• pp.396-406
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• 2006

In this study, elementary school students' science learning characteristics together with the levels of inquiry requirement in elementary school science experiment instruction were investigated in terms of the affective domain. We divided seventy-three students of the fifth ade into two groups according to the levels of inquiry requirement. After each instruction had been implemented, the characteristics of the students' learning in terms of the affective domain were compared and analyzed within the context of the levels of inquiry requirement. There were no significant differences between Level 1(LL) and Level 2(HL) groups in terms of the affective characteristics. These results may be caused by the burden imposed by the difficulty in thinking through and setting up the experimental methods. However, the HL group students' levels of interest in science experiments was higher than that of the LL group. In conclusion, the HL instruction contributed little to the improvement of affective characteristics. Some possible reasons might be that students felt difficulties with the somewhat unfamiliar instructions which required them to design and perform experiments. Higher levels of interest in science experiments amongst HL students' implies that well-organized and continuous exercises involving the design and performance of experiments could improve students' scientific affective characteristics.

• Korean Journal of Construction Engineering and Management
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• v.8 no.3
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• pp.57-65
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• 2007

Last Planner System (LPS) developed by Lean Construction Institute consists of four steps: Master Schedule, Phase Schedule, Lookahead Planning and Weekly Work Plan. This paper focuses on the process of measuring Percent of Plan Completed (PPC) at the weekly Work Plan stage. PPC means the percentage of weekly assignments completed. According to the results of the researches that deal with PPC from many other countries, we can assure the benefits or using PPC. However the concept of PPC is unfamiliar in Korea construction industry. This paper analyzes the cases in which PPC is applied in other countries and compares them with the production control system in Korean construction industry. The results of this research will provide the time management system for using PPC in Korea.

• Korean Journal of Construction Engineering and Management
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• v.21 no.3
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• pp.20-27
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• 2020

EPC contractors have made continuous efforts to develop integrated project execution methods to improve the performance of industrial plant project. In particular, the concept of Advanced Work Packaging (AWP) has been recently presented by readjusting the existing "Work Packaging" concept as part of the integrated project execution method from the project life-cycle perspective. However, Korean EPC contractors are still unfamiliar with the AWP implementation. Thus, this study aims to identify the organizational competency factor for effective implementation of AWP. For this purpose, first, this study identified the expected risks in AWP project and the 29 organizational competency factors to manage risks. Second, five experts verified the suitability of factors and supplemented the factors. Finally, 37 factors were identified as organizational competency factors for implementing AWP.

• Journal of the Ergonomics Society of Korea
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• v.28 no.3
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• pp.63-71
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• 2009

A car navigation system as an in-vehicle route guidance information (RGI) offers a state-of-the-art technological solution to driver navigation in an unfamiliar area. However, the RGI is provided by some pre-determined options in terms of the interface between a driver and a car navigation system. Drivers occasionally pass the target intersection owing to non- or late- recognizing it. This paper is examined the position of driver's turn signal operation and intersection recognition approaching at the target intersection which is difficult to identify, as a fundamental research on developing the additional RGI connecting with the turn signal control. The field experiment was conducted to measure distances of the turn signal operation and the intersection recognition from the target intersection according to left turns, right turns, and landmarks at adjacent intersection. And glance behavior to the car navigation display was evaluated by using an eye camera. The results of the field study indicate that, most case of driving, drivers operate the turn signal until 40m to 50m before coming to the target intersection. The driving simulator experiment was performed to examine the effectiveness of providing the additional RGI when drivers did not operate the turn signal approaching at the target intersection based on the results of the field study. To provide the additional RGI is effective for the intersection identification and recognition, and expected to improve the traffic safety and the comfort for drivers.