• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.1
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• pp.210-217
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• 2013

The development of collaboration among information systems in accordance with changes in enterprises' business environment brings about the problems of duplication of the existing business services and increase in costs of maintenance. Accordingly, Web service has been suggested as the standard of distributed computing to prevent the duplication of services within the same business domain and to attain the services that are already being utilized. But since the data needed for Web services are not standardized, it is difficult for the users to find services that meet diverse business purposes. In this paper, we construct an ontology-based collaboration system for service interoperability. The ontology can support fusion service by finding services which are existed interdependently under the distributed environment for collaboration processing. The role of the collaborative system includes development, registration and call of services based on ontology. A local systems request collaboration support through the service profile. Collaborative system supports the development of service using the service profiles, represents the semantic association between real data through system ontology, and infers relationship between instances contained in the services. Based on this, we applied the travel booking services for collaboration system. As a result, service can be managed effectively preventing collision in collaborative system, and we verify that the mapping between system is reduced.

• Information Systems Review
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• v.23 no.3
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• pp.51-75
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• 2021

Global e-commerce websites offer personalized recommendation services to gain sustainable competitiveness. Existing studies have offered personalized recommendation services using quantitative preferences such as ratings. However, offering personalized recommendation services using only quantitative data has raised the problem of decreasing recommendation performance. For example, a user gave a five-star rating but wrote a review that the user was unsatisfied with hotel service and cleanliness. In such cases, has problems where quantitative and qualitative preferences are inconsistent. Recently, a growing number of studies have considered review data simultaneously to improve the limitations of existing personalized recommendation service studies. Therefore, in this study, we identify review and rating mismatches and build a new user profile to offer personalized recommendation services. To this end, we use deep learning algorithms such as CNN, LSTM, CNN + LSTM, which have been widely used in sentiment analysis studies. And extract sentiment features from reviews and compare with quantitative preferences. To evaluate the performance of the proposed methodology in this study, we collect user preference information using real-world hotel data from the world's largest travel platform TripAdvisor. Experiments show that the proposed methodology in this study outperforms the existing other methodologies, using only existing quantitative preferences.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.5
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• pp.38-47
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• 2009

This paper aims to evaluate the freeway traffic management Strategy based on exTMS according to traffic situation of freeway. As freeway user's demands increase, we thus need future-oriented and optimized traffic management. So, through improving the existing system and introducing the advanced system, these systems evaluate for not only preparing the application in real world but also preliminary feasibility. To evaluate effects of the traffic management based on exTMS, in this study, shoulder LCS, advanced VMS(assumption in it is improving next-generation system which it can be offering diverse dynamic traffic information), Ramp-metering system are applicated in simulation. In addition, this study evaluates the effect when all proposed systems are applicated, and compare the individual effect of when independent system is applicated, through considering about traffic condition of V/C=0.5, V/C=0.8, V/C=1.2. The study results show that all assumed cases, the travel speed were improved according to the increasing V/C. Furthermore, the results of evaluated the individual system show that the shoulder LCS was found to be the largest effect, and the effect of VMS(detour rate is 11%) is larger than the other cases.

• Journal of Industrial Convergence
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• v.17 no.4
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• pp.1-8
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• 2019

The purpose of this study is to analyze the actual condition of tourism complex and to apply IoT-based integrated management system to tourism complex to improve the utilization and management of tourism complex. Tourists need various information to take the lead in tourism activities, and all of these necessary information is collected through various routes such as information of the Internet, travel agencies, newspapers, and surrounding experiences. Recently, information provision through the Internet has taken a large part due to the development of information technology, and systems that combine IoT technology are being constructed. This is because the popularization of IoT technology improves the diversity, accessibility and convenience of information and makes it convenient to use. The purpose of this study is to suggest the importance of tourism information service using IoT-based system and future research directions. The previous studies on IoT-based system construction were also reviewed considering the efficiency of IoT technology. In order to solve the problems of tourism complex, this study improved the IoT-based tourism complex operation system and conducted operation management. IoT-based management system is expected to be improved as a tourism complex platform and is expected to be improved by overall management cases and experiences.

• Journal of the Korean Society for Railway
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• v.16 no.6
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• pp.540-550
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• 2013

The Future Wireless Railway Communication System(FWRCS) has attracted attention for the various advantages of such a system like efficient management, precise periodicity of operation and speedy travel. Related to it, the area of bandwidth requirement estimation for the FWRCS is being researched actively because there is a great need for accurate bandwidth distribution. In this paper, sophisticated bandwidth requirement estimation method for FWRCS is proposed by modifying ITU-R M.1390. With this method, the expected frequency requirements for the present, for five years from now, and for 10 years from now can be calculated by applying the data gathered from the actual field.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.15 no.1
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• pp.73-87
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• 2012

This study was conducted to provide sustainable measures for conservation and management to protect valuable natural/ecological resources, offer differentiated quality assurance services for eco-tourism products, and explore measures for eco-tourism certification/designation systems. To achieve its goals, the study discussed domestic and overseas trends and literatures that concern eco-tourism certification/designation system and investigated case studies that were presently operational. A group of experts and a group of non-experts were surveyed separatedly to investigate the awareness of the national eco-tourism certification/designation system. The results from the investigation indicate that Europe, since the late 1990s to early 2000, has actively introduced a system that establishes and operates a dedicated institution, and European members have created a cooperation framework to formulate international partnerships and develop standardized assessment benchmarks to adhere to the goals of the system, the period for certification was designated from one year to five years, and renewals were granted based on periodic monitoring and reassessment. In Korea, from early 2000, the Ministry of Culture, Sorts and Tourism and other organizations have certified product quality and assessed travel products and national park tour programs. The certification period was established to be set between one and three years, and the vast majority were not reassessed. Upon investigating the results for awareness of national eco-tourism certification/designation system, a high number of respondents agreed with the need to establish a eco-tourism certification/designation system (90% of respondents), and the respondents cited eco-tourism quality assurance, conservation of value, means to maintain established institutions, and environmental education and information as reasons for needing a certification/designation system. In Korea, a certification/designation system for the eco-tourism industry is presently in operation, but the system regulates target institutions based on their characteristics. Therefore, this study proposes its suggestions via various categories, including designated institutions, designated purpose, designated subjects, designated organization, laws, regulations, and incentives.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.243-253
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• 2019

First steps of Planetary exploration are usually conducted with the use of autonomous rovers. These rovers are capable of finding its own path and perform experiments about the planet's surface. This paper makes a proposal for a multi-agent system which effectively take the advantage of a blackboard system for share knowledge and effort of each agent. Agents use Reactive Model with the combination of Belief Desire Intension (BDI) Model and also use a Path Finding Algorithm for calculate shortest distance and a path for travel on the planet's surface. This approach can perform a surface exploration on a given terrain within a short period of time. Information which are gathered on the blackboard are used to make an output with detailed surface soil variance results. The developed Multi-Agent system performed well with different terrain sizes.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.5
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• pp.23-29
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• 2015

In this study, human is the subject of driving a car, the actual EEG is a biological information in a number of reactions that are displayed while driving the vehicle by using a measuring device, occurs during travel of the road EEG to be collected, number of experiments the collected material on the basis of changes associated with running time, extracts the factors such as changes due to road geometry, and analysis was performed. The required changes in the EEG occurring during traveling experiment analysis alpha (${\alpha}$) waves, beta (${\beta}$) wave, after the primary extraction in the form of gamma (${\gamma}$) faction, the brain wave frequency of the entire period of the experiment change rate extracts, to calculate the change in frequency in response to EEG characteristics by applying the regression model to observe a learning effect in response to an increase in the number of experiments, as a result, depending on the number of experiments, EEG changes due to individual differences. The show, by repeatedly driving a section like this, it was possible to verify that comfortably travels driver accustomed in accordance with the stored road geometry and signal, safety facilities.

• Management & Information Systems Review
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• v.34 no.2
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• pp.171-191
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• 2015

This study is about the exhibition and convention visitors' satisfaction level and the participating companies' perception on the performance. The two topics were approached with integrated model. Accordingly, this study examined how service quality and experiential quality affect exhibition and convention visitors' satisfaction level and the participating companies' perception on the performance, and how the correlation between exhibition and convention visitors' satisfaction level and the participating companies' perception on the performance is affected. The result demonstrates that the quality of experience exerts positive effect on the visitors' sense of satisfaction(Hypothesis 3), while service quality is not statistically significant when it comes to the visitors' satisfaction(Hypothesis 1). When the correlation between service quality and experiential quality, and the participating companies' perception on the performance is examined, service quality exerts positive effect on the participating companies' perception on the performance(Hypothesis 2), while experiential quality is not statistically significant on the participating companies' perception on the performance(Hypothesis 4), When the correlation between exhibition and convention visitors' satisfaction level and the participating companies' perception on the performance is examined, it was shown that positive effect is exerted just like the results of the previous studies(Hypothesis 5), lastly, correlation between participating companies' perception on the performance, companies' satisfaction and company loyalty was examined. In case of the participating companies' perception on the performance, it exerts positive effect on the companies' satisfaction(Hypothesis 6), while company loyalty is not statistically significant (Hypothesis 7). In case of companies' satisfaction, it exerts positive effect on the company loyalty (Hypothesis 8). The results of this study will provide help to increase overall understanding of the exhibition and convention visitors' satisfaction level and the participating companies' perception on the performance, and to provide important implications for the development of strategy for exhibition and convention's vitalization.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.121-131
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• 2014

Traffic speed is an important measure in transportation. It can be employed for various purposes, including traffic congestion detection, travel time estimation, and road design. Consequently, accurate speed prediction is essential in the development of intelligent transportation systems. In this paper, we present an analysis and speed prediction of a certain road section in Busan, South Korea. In previous works, only historical data of the target link are used for prediction. Here, we extract features from real traffic data by considering the neighboring links. After obtaining the candidate features, linear regression, model tree, and k-nearest neighbor (k-NN) are employed for both feature selection and speed prediction. The experiment results show that k-NN outperforms model tree and linear regression for the given dataset. Compared to the other predictors, k-NN significantly reduces the error measures that we use, including mean absolute percentage error (MAPE) and root mean square error (RMSE).