• Journal of the Korea Computer Industry Society
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• v.2 no.2
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• pp.141-150
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• 2001

Within a context of rapid technological change and shifting market conditions, the education environment requires new paradigm of education delivery. In accordance of such a technological progress, distance education system, which makes the learning take place at anytime anywhere, overcoming barriers of time, or distance, is emerging as a mainstream of education delivery replacing the convectional one way delivery system from instructor to learners. This paper aims to introduce the development principle and algorithm about Instructional System Desgin(ISD) module, a part of a total solution for distance education services. It was developed on Linux, a free Unix-type operating system. Linux supports so various network protocols, sharing the network resources in a smooth way, that it is able to integrate with other operating system very easily, especially with Windows NT or Windows 2000 servers. In terms of quality, it never falls behind the windows products which are commercially available only. It is a right operating system for the such a school environment that is usually limited in budgets. The development environment of the distance education solution to which ISD module belongs is composing of Apache server for web server, lava bean based on components for ISD module, PHP, server-side scripting language, for HTML documents and MySQL for DBMS.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.7
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• pp.646-656
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• 2008

In this paper, the prototype of haptic-based NVE (networked virtual environment) QoE (quality of experience) is proposed. The proposed framework plays a role of providing users with realistic feeling by managing the system and network resources efficiently under time-varying networks and heterogeneous systems. Therefore, first IoPH (importance of presence for haptic interaction) is defined to quantitate the sense of real that the users feel now. Then we define the haptic-based NVE components required to satisfy the haptic interaction QoE requirements. Finally, QoE adaptation scheme is suggested, which adapts the haptic-based NVE components to current network and system constraints for better haptic interaction quality.

• Journal of Advanced Navigation Technology
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• v.20 no.5
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• pp.417-424
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• 2016

Russia recently began broadcasting the SDCM signal in order to provide SBAS service for the civil aviation in the Russian territory using its own geostationary satellites. The service coverage of the SDCM geostationary satellite, LUCH-5A and LUCH-5B, includes Korea peninsula, where the test signal from the pseudo random number (PRN) 140 is received. This paper shows that the position accuracy at the Chulwon GNSS site is improved to 0.8749 m (horizontal) and 0.9589 mm (vertical) by applying the received SDCM message to the RINEX data. Considering that the SDCM augments both GPS and GLONASS, the performance of multi-constellation SBAS was compared to that of GPS-only SBAS, and APV-I availability was improved by decreasing the protection level about 30 %. From the results, we can expect that the mult-constellation SBAS can contribute to the performance enhancement of the future KASS.

• Journal of Korea Port Economic Association
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• v.29 no.4
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• pp.73-95
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• 2013

This paper analyzes a competitive shipping market in East Asia in order to explore how container carriers make decisions on ship size, number of ships, service frequency, and service route. A sequential-move game based on non-cooperative game theory is applied to establish the models for the decision-makings involving the transportation volumes, freight rates, costs, and market shares of the service routes from Shanghai or Hong Kong to the ports in Busan, Gwangyang, and Incheon. According to the sub-game perfect Nash equilibrium solutions proposed by these models, carriers' decisions in such a competitive environment vary depending on sailing distance, transport demand, and freight rates. Therefore, carriers are recommended to reflect the optimal equilibrium solutions and a variety of decision factors when formulating strategies for transportation networks and operating fleets. Furthermore, ports should establish management strategies for these factors to provide optimal equilibrium solutions for carriers' transportation networks.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.128-139
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• 2010

Since the revised enforcement ordinance of the broadcasting legislation, Product Placement that was introduced in May, 2010 has expanded the stable income of broadcasting contents and broadcasting advertising industry, and improved the quality of the broadcasting contents and its service. However, as a result of Product Placement enforcement for the past 3 months, it reveals many problems, and is blamed for being unable to meet the intent of the law. Accordingly, Product Placement is not established properly. Thus, it is required to improve the detailed action plan for revitalization of Broadcasting Contents and Broadcasting Advertising Industry as originally intended. For example, the outsourcing production company involved in producing programs like dramas and the broadcaster have failed to reach negotiation on distributing proportion and it is keenly in need of its related study. This study is to cover the current status and the problems of introducing Product Placement, and is expected to provide the policy implications and the practical lessons. However, it displays limits that it ends in exploring and policy debate. It is henceforth expected to continue various studies of measuring the effectiveness, strategy, creative, and so forth based on discussion of introducing Product Placement.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.308-318
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• 2017

The purpose of this study was to investigate the influence of the leadership of the top-leader and the mid-level leader on the care burden of care workers. A survey was conducted on 400 care workers working in long-term care facilities in Seoul and Gyeonggi area. We conducted a hierarchical regression analysis to grasp the effect of the leadership of top-leader and mid-level leader on the care burden of care workers. Monthly income of care workers was significantly associated with care burden. In next step, the leadership of the top-leader affected the care burden of care workers. But, In last model 3, only the leadership of mid-level leader affected the care burden with monthly income. This findings suggested that it is urgent to stabilize the salary level of care workers, and to develop the leadership skills of mid-level leader. The improved leadership of Mid-level Leader will help to reduce jop chaos for care workers.

• KIPS Transactions on Software and Data Engineering
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• v.1 no.3
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• pp.169-176
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• 2012

The information delivery and transmission media(DID or PID) market is making remarkable growth as the high-speed networks are spreading and LCD/LED TVs are more and more popularized, and display devices are increasingly large and high-definition. In addition, the popularization of smart devices and the expansion of the information delivery and transmission media market make a demand for N-Screen in content service. Colleges and universities have installed and operated various types of DID to promote their schools and departments and deliver information about them, still remaining in the level of media content implementation. So, we implement and evaluate a next-generation electronic bulletin board for each department that allows for interactive N-Screen communication based on the integration of smart phone and internet. This board enhanced efficiency as supporting N-Screen, inserting and deleting the contents at real time and offering bidirectional communication.

• Journal of Korean Society of Transportation
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• v.31 no.4
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• pp.76-84
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• 2013

The main objective of study was to determine the optimum level of bus service by bus route types for the effective improvement of bus route operating in semi-public transportation management. In pursuing the above, this study proposed to classify by bus route types based on publicity, profitability and potentiality. Using this methods of the classification, 113 bus routes in Busan were classified into bus routes of 8 types. And this study proposed desirable management of bus route operation according to 8 bus route types considering 9 bus operating characteristics such as bus route distance, operating number, state of passing through the CBD and so on. For proposing the desirable management, it was to do a statistical analysis of PCA(Principal Components Analysis) and to abbreviate 9 variables to 3. And it was drawn a conclusion effectively by making comparison between 8 bus rout types and 3 bus operating characteristics.

• Spatial Information Research
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• v.22 no.2
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• pp.31-44
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• 2014

According to the purpose of applications, the application program will utilize the most suitable data model and 3D modeling data would be generated based on the selected data model. In these reasons, there are various data sets to represent the same geographical features. The duplicated data sets bring serious problems in system interoperability and data compatibility issues, as well in finance issues of geo-spatial information industries. In order to overcome the problems, this study proposes a spatial data fusion method using topological relationships among spatial objects in the feature classes, called Topological Relation Model (TRM). The TRM is a spatial data fusion method implemented in application-level, which means that the geometric data generated by two different data models are used directly without any data exchange or conversion processes in an application system to provide indoor LBSs. The topological relationships are defined and described by the basic concepts of IndoorGML. After describing the concepts of TRM, experimental implementations of the proposed data fusion method in 3D GIS are presented. In the final section, the limitations of this study and further research are summarized.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.151-161
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• 2018

Income is a vital aspect of economic life. Knowing what their income will help people create budgets that allow them to pay for their living expenses. Income data is used by banks, stores, and service companies for marketing purposes and for retaining loyal customers; it is a crucial demographic element used at a wide variety of customer touch points. Therefore, it is essential to be able to make income predictions for existing and potential customers. This paper aims to predict employment earnings or income based on history, and uses machine learning techniques such as SVMs (Support Vector Machines), Gaussian, decision tree and DCNNs (Deep Convolutional Neural Networks) for predicting employment earnings. The results show that the DCNN method provides optimum results with 88% compared to other machine learning techniques used in this paper. Improvement of the data length such PCA has the potential to provide more optimum result.