• Journal of Korea Multimedia Society
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• v.9 no.4
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• pp.401-413
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• 2006

We propose video management system based on MPEG-7 for mobile device(MVMS). Most of existing MPEG-7 applications manage MPEG-7 document based on file system in the desktop environment. To contrast them, because the MVMS manages only necessary information using embedded database system for MPEG-7 documents in mobile devices, it can use efficiently lack of the resource in mobile device environment. MVMS supports key image extraction and MPEG-7 document edition function. Moreover, this is possible search and management of multi document because of MVMS manage MPEG-7 data through embedded DB.

• The Journal of Information Systems
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• v.3
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• pp.71-82
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• 1994

Knowledge acquisition, maintenance of knowledge base, and validation and verification of knowledge are the addressed bottlenecks of building successful knowledge based systems. Along with the increment of interesting in the knowledge based systems, the organization needs to develop a new one although it has a similar one. This causes several serious problems including knowledge redundancy and maintenance of knowledge base. This paper present three models of the reusable knowledge base which might be the solution to the above problem. Three models are : 1) multiple knowledge bases for a single AI application, 2) multiple knowledge bases for multiple AI applications, 3) a single knowledge base for multiple AI applications. A new approach to build such a reusable knowledge base in a homogeneous environment is presented. Our model combines the essential object-oriented techniques with rules in a consistent manner. Important aspects of applying object-oriented techniques to AI are discussed (inheritance, encapsulation, message passing), and some potential problems in building an AI application (decomposition technique of knowledge, search time, and heterogeneous environment) are pointed out. The models of a reusable knowledge base provide several amenities : 1) reduce the knowledge redundancy, 2) reduce the effort of maintenance of the knowledge base, 3) reuse the resource of the multiple domain knowledge bases, 4) reduce the development time.

• Journal of Hydrogen and New Energy
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• v.18 no.4
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• pp.481-494
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• 2007

Hydrogen is clean and renewable and is recognized as a very promising energy to solve both depletion of petroleum resource and environmental problems caused by use of fossil fuels. Extensive researches have been performed worldwide on the production technologies of hydrogen. In this paper, characteristics of hydrogen production technologies were analyzed from the literature survey. Also, The technology trend of hydrogen production was scrutinized based on patent analysis. In patent analysis the search range was limited to the open patents issued from 1996 to 2005. Patents were gathered by using the key-words searching method and filtered by desirable filtering criteria. The technology trend of hydrogen production was discussed by classifying each patent based on the publishing year, country, and company, and the type of production technology.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.294-297
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• 2011

After Cloud Computing concept appeared in Google that is Internet search engine company and Famed online bookstore Amazon succeed in online rental business of computer resource, Global IT companies are watched by Cloud Computing. The companies applying Cloud Computing having been many changes, also domestic It business is throwing the spotlight on new paradigm of Cloud Computing. This paper is going to look at concept and trend of Cloud Computing, and describe situation and outlook of Cloud Computing in domestic companies.

• Journal of IKEEE
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• v.22 no.2
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• pp.460-475
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• 2018

In the variable-speed wind energy system, to achieve maximum power point tracking (MPPT), the wind turbine should run close to its optimal angular speed according to the wind speed. Non-linear control methods that consider the dynamic behavior of wind speed are generally used to provide maximum power and improved efficiency. In this perspective, the mechanical power is estimated using Kalman filter. And then, from the estimated mechanical power, the wind speed is estimated with Newton-Raphson method to achieve maximum power without anemometer. However, the blade shape and air density get changed with time and the generator efficiency is also degraded. This results in incorrect estimation of wind speed and MPPT. It causes not only the power loss but also incorrect wind resource assessment of site. In this paper, the adaptive maximum power point tracking control algorithm for wind turbine system based on the estimation of wind speed is proposed. The proposed method applies correction factor to wind turbine system to have accurate wind speed estimation for exact MPPT. The proposed method is validated with numerical simulations and the results show an improved performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.6
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• pp.2686-2708
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• 2020

This paper investigates the energy efficiency of energy harvesting (EH) bidirectional cooperative sensor networks, in which the considered system model enables the uplink information transmission from the sensor (SN) to access point (AP) and the energy supply for the amplify-and-forward (AF) relay and SN using power-splitting (PS) or time-switching (TS) protocol. Considering the minimum EH activation constraint and quality of service (QoS) requirement, energy efficiency is maximized by jointly optimizing the resource division ratio and transmission power. To cope with the non-convexity of the optimizations, we propose the low complexity iterative algorithm based on fractional programming and alternative search method (FAS). The key idea of the proposed algorithm first transforms the objective function into the parameterized polynomial subtractive form. Then we decompose the optimization into two convex sub-problems, which can be solved by conventional convex programming. Simulation results validate that the proposed schemes have better output performance and the iterative algorithm has a fast convergence rate.

• Journal of Fisheries and Marine Sciences Education
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• v.24 no.5
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• pp.670-686
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• 2012

The purpose of this study is to analyze current state of education departments in Korean universities and to find out ways to help education major students shape their future career. The findings of the study are as follows. First, the comparative analysis of the current state of education and education-related departments showed that average employment rate of education departments in 2011 was 35.0%, whereas that of related departments was 56.6%, which showed a significant difference. Second, education courses were specialized in areas such as lifelong educator qualifications, teaching certificates in morality/ethics, corporate HRD(human resource development), etc. in case of education departments. In case of education-related departments, education courses were specialized in areas such as teaching certificates in pedagogy, lifelong educator qualifications, license of school counselor, corporate HRD, etc. Though there were many overlapping areas, specialization was relatively more common and diverse in education-related departments. Next, to help students shape their future career, developments in specialized career courses, new career fields, and career education models were suggested. To give shape to the progress plans, the development of standard education courses for student careers, the introduction of certification system about course specialization, and search for the career path of teaching profession which allows utilization of the knowledge of education were suggested.

• Proceedings of the IEEK Conference
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• 2003.11b
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• pp.133-136
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• 2003

Due to recent explosion of information available online, question- answering (Q&A) systems are becoming a compelling framework for finding relevant information in a variety of domains. Question-answering system is one of the best ways to introduce a novice customer to a new domain without making him/her to obtain prior knowledge of its overall structure improving search request with specific answer. However, the current web poses serious problem for finding specific answer for many overlapped meanings for the same questions or duplicate questions also retrieved answer for many overlapped meanings fer the same questions or duplicate questions also retrieved answer is slow due to enhanced network traffic, which leads to wastage of resource. In order to avoid wrong answer which occur due to above-mentioned problem we propose the system using ontology by RDF, RDFS and mobile agent based on JAVA. We also choose wireless internet based embedded device as our test bed for the system and apply the system in E-commerce information domain. The mobile agent provides agent routing with reduced network traffic, consequently helps us to minimize the elapsed time for answers and structured ontology based on our proposed algorithms sorts out the similarity between current and past question by comparing properties of classes.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.2
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• pp.246-253
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• 2007

All of the machines in a production line can be classified into bottleneck and non-bottleneck machines. A bottleneck is a resource whose capacity limits the throughput of the whole production facility. This paper addresses a batch sizing problem at the bottleneck machine. Traditionally, most batch sizing decisions have been made based on the EOQ (economic order quantity) model where setup and inventory costs are considered while throughput rate is assumed to be given. However, since batch size affects the capacity of the bottleneck machine, the throughput rate may not be constant. As the batch size increases, the frequency of the setup decreases. The saved setup time can be transferred to processing time, which results in higher throughput. But, the larger batch size may also result in longer lead time and larger WIP inventory level. This paper presents an alternative method to determine batch size at the bottleneck machine in a manufacturing line. A linear search algorithm is introduced to find optimal throughput rate and batch size at the same time. Numerical examples are provided to see how the proposed method works and to investigate the effects of some parameters.

• The Korean Journal of Community Living Science
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• v.14 no.2
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• pp.93-106
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• 2003

The main purpose of this research was to study and analyze the actual utilization of traditional knowledge resources and to search for methods to activate local communities through utilization of traditional knowledge resources best suited for us. For this study, data listed on the internal web sites during August 2002 to October 2002 were searched and analyzed. In terms of statistical analysis, frequency, percentage, and x$^2$-test were operated using the SPSS 10.0 program. The major results of this study are as follows: 1) Traditional knowledge resources utilized throughout the nation totaled to 8,906 cases. These utilized resources composed of 48.0% of tangible resources, 32.3% of environmental resources, and 19.8% of intangible resources and such utilized resources were in order of life-skill, scenery, ruins and relics, community activity, exhibition, and folklores. 2) Tourism, merchandising, and festival were the major types of utilization of traditional knowledge resources, while education was the relatively minor portion in utilization type. 3) Compound linking of traditional knowledge resources, utilization type, and utilizing body showed links such as life skill-merchandising-civilian, ruins and relics-tourism-government, folklore-festival-civilian, scenery-tourism-government, and exhibition-education-civilian.