• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.318-320
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• 2018

When a ship sails on sea, it may be influenced by the environmental disturbance such as wind, wave, sea surface temperature, etc. These affect on the ship's speed, fuel consumption, safety and operating performance. It is necessary to find the optimal weather route of a ship to avoid adverse weather conditions which can put the crews in serious danger or cause structural damage to the vessel, machinery, and equipment. This study introduced how to apply A* algorithm based on sea trial test data for determining the optimal ship routes. The path cost function was modelled as a function of minimum arrival time or minimum energy depending on the time of various environment conditions. The specially modelled path-cost function and the safety constraints were applied to the A* algorithm in order to find the optimal path of the ship. The comparison of ship performances estimated by real sea trial's path and estimated optimal route during the voyage of the ship was investigated. The result of this study can be used to create a schedule to ensure safe operation of the ship with short passage time or minimum energy. In addition, the result of this study can be integrated into an on-board decision supporting expert system and displayed in Electronic Chart Display and Information System (ECDIS) to provide all the useful information to ship master.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.7
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• pp.1444-1452
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• 2009

Probabilistic distribution functions based data generation method is very effective. Probabilistic distribution functions are defined under the assumption that daily routine contexts are mainly depended on a time-based schedule. However, daily life contexts are frequently determined by previous contexts because contexts have consistency and/or sequential flows. In order to refect previous contexts effect, a situation propagation network is proposed in this paper. As proposed situation propagation network make parameters of related probabilistic distribution functions update, generated contexts can be more realistic and natural. Through the simulation study, proposed context-data generation model generated general outworker's data about 11 daily contexts at home. Generated data are evaluated with respect to reduction of ambiguity and confliction using newly defined indexes of ambiguity and confliction of sequential contexts. In conclusion, in case of combining situation propagation network with probabilistic distribution functions, ambiguity and confliction of data can be reduced 6.45% and 4.60% respectively.

• Journal of Navigation and Port Research
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• v.37 no.2
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• pp.211-219
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• 2013

The purpose of this study is to find out how to improve tourism competitiveness of cruise harbours in Korea by analyzing tourism satisfaction level of international cruise visitors to Korea, who are increasing rapidly as Northeast Asian cruise tourism market is growing up. In this study we analyzed the factors of effects on tourism satisfaction level by Chinese visitors, Japanese visitors and English speaking visitors respectively based on the results of "International Cruise Visitor Survey 2012". The results of this study show that the individual satisfaction level of port of calling & tour schedule, immigration procedures, transportation, shopping influenced overall tourism satisfaction level by countries. It implied that those attributes should be reflected hereafter when we establish a marketing strategy for each of cruise cities. This study has a great significance in that those results suggest useful information when we make plans not only for activating cruise harbours but also for cruise tour marketing.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.4
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• pp.351-363
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• 2004

Recent commencement of digital broadcasting has enabled various TV programs through hundreds of channels. As a result, it becomes a time-consuming job for the TV audience to look up newspaper or TV magazines for the schedule of a specific TV program. To relieve this problem, digital broadcasting usually provides an EPG(Electronic Program Guide) for the audience. Currently. most EPG services are focusing on the visual delivery of information through a web site, digital TV or mobile devices. However, this approach could cause a serious restriction to some users including drivers or visually handicapped persons, who can't input keywords for the search. In order to solve this problem, in this paper, we propose a VoiceXML-based EPG retrieval system that enables even such special users to browse EPG. conveniently using a mobile phone. We implemented a prototype system and proved its effectiveness through experiments.

• Journal of mucopolysaccharidosis and rare diseases
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• v.2 no.2
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• pp.41-42
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• 2016

Today's mobile phones and tablet PCs offer a considerably wider range of functionalities than before. Mobile applications (apps) are increasingly used for managing various daily health tasks. Currently, more than 165,000 health-related apps are offered on all the stores of different platforms. Pf Jin and the Association for Research on MPS and Rare Diseases (AMARD) have helped Prader-Willi syndrome (PWS) families through medical information and family support since 2015. AMARD developed the first mobile application for Korean patients with PWS, which was released to a limited number of patients under the age of 3 and only provided to Android users. The first version of the PWS application focused on growth hormone therapy and the assessment of growth and development by parents in infant and early-childhood PWS patients. The 2016 version of the PWS application has been improved in many different ways. We have expanded the subjects of the application to late childhood and adolescent groups, changed the user interface accordingly, and made the application available for iOS users. We will show the specialized growth curves of older children with PWS. Therefore, patients with PWS over the age of 3 and their parents can assess the patients' growth. Additionally, we have upgraded the growth hormone therapy menu by improving the input system for the growth hormone therapy injection schedule and the daily growth profile (height and weight). We expect that the new version of the PWS application will help many PWS families cope with growth hormone therapy and evaluate the effects of growth hormones in better ways. Additionally, we are making a constant effort to provide more useful information about patients with PWS in many aspects.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.6
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• pp.1120-1127
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• 2008

This paper presents implementation of localization system using UWB (Ultra-Wide Band) sensors and its experimental results along with development of context-aware services. In order for precise measurement of position, we experimented various conditions of pitch angles, yaw angles, number of sensors, height of tags along with measuring errors at each installation. As an application examples of the location tracking system, we developed an intelligent health training management system based on context-aware technology. The system provides appropriate training schedule to a trainee by recognizing position of the trainee and current status of gymnastic equipments and note the usage of the equipment through a personal digital assistant (PDA). Error compensation on position data and moving direction of the trainee was necessary for context-aware service. Hence, we proposed an error compensation algorithm using velocity of the trainee. Experimental results showed that proposed algorithm had made error data reduce by 30% comparing with the data without applying the algorithm.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.119-129
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• 2020

Software development activities are influenced by stochastic theory rather than deterministic one due to having process variability. Stochastic methods factor in the uncertainties associated with project activities and provides insight into the expected project outputs as probability distributions rather than as deterministic approximations. Thus, successful software projects systematically manage and balance five objectives based on historical probability: scope, size, cost, effort, schedule, and quality. Although software size estimation having much uncertainty in initial development has traditionally performed using deterministic methods: LOC(Lines Of Code), COCOMO(COnsructive COst MOdel), FP(Function Point), SLIM(Software LIfecycle Management). This research aims to present a function point method based on stochastic distribution and a case study based on Monte Carlo Simulation applying on an automotive electrical and electronics system software development. It is expected that the result of this paper is used as guidance for establishing of function point method in organizations and tools for helping project managers make decisions correctly.

• Journal of the Korea Institute of Building Construction
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• v.19 no.1
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• pp.77-86
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• 2019

Due to the increasing demand for and complexity of plant construction projects, unpredictable risk factors are on the consequent increase. For that reason, the quantitative risk analysis is being called for, in order for the development of a risk assessment model using risk indicators for the plant construction projects. This study used the claim payout data collected at a global insurance company to reflect the actual financial losses in plant construction projects as dependent variables in the risk assessment model. In terms of independent variables, the geographic information, i. e., landform, and the construction information including test-run, schedule rate, total cost and duration are adopted. In addition, this study suggests that the regression model containing such independent variables that are statistically significant can be applied to as a foundational guideline for the plant construction project risk analysis during the phase of construction and commissioning.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.241-243
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• 2014

In this study, that by applying the algorithm of collective intelligence in helping to select the teaching methods and learning methods of learner and teacher, develop a content recommendation system, the teacher and the learner promote effective learning, I have intended to And for this reason can be applied to education recommended system to be applied to a movie or shopping mall recently, at the time of selection, it is appropriate in accordance with the state, such as the level of the learner, learning environment, learners the theme of teaching and learning, and to provide a teaching method and learning method, the learner can to find the learning method appropriate for the user, and a more efficient, Professor system that can save time to design the teaching learning process I developed, The utility and accuracy of the learning content recommendation system developed finally, after the data is accumulated in the use of a continuous schedule of the learner and a teacher, would need to be validated through the rating.

• Journal of Practical Engineering Education
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• v.10 no.1
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• pp.9-15
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• 2018

A digital signage is constructed using a speech recognition based API, and VRSM (Voice Recognition Smart Mirror) that obtains information such as weather, map, exercise information, schedule, and image by user's voice command so as to be different from other commercialized products is proposed. This course provides an effective method of engineering education through the process of being evaluated as the result of independent graduation certification system, and also it had been the opportunity to design and produce works for 3 semesters by 2 students one group in the majors. Through the comprehensive capstone design, it has experienced engineering approach and creative thinking opportunity. We have won the best academic prize by participating in the academic conferences of the institute about the interim result, and obtained the results of the prize contest in other academic conferences. The improvement in practical skills obtained through this process proved to be beneficial for self-confidence and job-seeking opportunities through actual employment.