• Journal of the Korean Society of Environmental Restoration Technology
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• v.15 no.4
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• pp.51-60
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• 2012

Most streams in Korea have been managed mainly for the control of flood or usages of the water for agriculture, industry, and others, resulting in the loss of their natural characteristics. In recent years, ecological system and function of streams are recognized as very important, and a paradigm change in their management is prevailing. This study, first, analyzed recent stream restoration policies and projects and derived major restoration planning factors; second, evaluated relative importance and priority of the factors using AHP (Analytic Hierarchy Process) method. The derived planning factors were four factors for the level 1, and sixteen factors for the level 2. Relative importance and priority of each factor were calculated, and finally, a composite relative importance and priority of all the factors were suggested. These findings are hoped to support stream restoration policies and be used in drafting restoration guidelines.

• Journal of Korean Society of Rural Planning
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• v.9 no.3 s.20
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• pp.41-46
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• 2003

The study was focused on setting priority for future core technologies in rural development and resources using AHP. The technologies were derived by Delphi method. Evaluation criteria for the priority setting were decided as 'technology', 'market oriented', and 'public concerns' by council. The future core technologies were divided as four groups by importance and R&D level. Technologies in upper two groups were considered in the study. Group I had high importance and high R&D level. Group II had high importance and lower R&D level. Questionnaires were given to 9 specialists in agricultural resources. As the results, 'public concerns' was decided as a most important evaluation criterion. The most important technologies are "technology developing for animal feces and urine treatment, and restoration it to farm land" in group I, and "technology developing for agricultural by-products as energy source" in group II.

• The KIPS Transactions:PartA
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• v.18A no.6
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• pp.255-264
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• 2011

A sensor network is a special network that makes physical data sensed by sensor nodes and manages the data. The sensor network is a technology that can apply to many parts of field. It is very important to transmit the data to a user at real-time. The core of the sensor network is a sensor node and small operating system that works in the node. TinyOS developed by UC Berkeley is a sensor network operating system that used many parts of field. It is event-driven and component-based operating system. Basically, it uses non-preemptive scheduler. If an urgent task needs to be executed right away while another task is running, the urgent one must wait until another one is finished. Because of that property, it is hard to guarantee real-time requirement in TinyOS. According to recent study, Priority Level Scheduler, which can let one task preempt another task, was proposed in order to have fast response in TinyOS. It has restrictively 5 priorities, so a higher priority task can preempt a lower priority task. Therefore, this paper suggests Preemptive EDF(Earliest Deadline First) Scheduler that guarantees a real-time requirement and reduces average respond time of user tasks in TinyOS.

• Journal of vocational education research
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• v.36 no.4
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• pp.41-56
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• 2017

The purpose of this study is to analyze the level of current difference of education needs for instructional competency of lifelong education instructor and the level of importance of lifelong education for drawing priority. Through the literature review, this is divided the lifelong education instructor's competencies such as planning, implementation, management and support and analyzed the current level and importance with 35 items through t-test analysis. The priority for education needs is applied to Borich and the Locus for Focus model simultaneously. According to result for study, the largest item of competency for lifelong education instructor is verified with the current level and importance for building of social networking and managing competency. The top priority item of education needs for instructional competency of lifelong education instructor is located in the first quadrant of model and the Locus for Focus model, according to priority in needs for Borich and was showed in program competency. The second items in priority were derived by learning resources, information gathering, competency for focus development, equitable evaluation for student, competency for building team work. Therefore, these competencies are considered as factors for priority of lifelong instructor and will be developed in personal and organizational development.

• The KIPS Transactions:PartC
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• v.12C no.5 s.101
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• pp.687-694
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• 2005

In ATM and W networks, high Priority Packets should be selectively favored over low Priority Packets in case of congestion. For this purpose, we introduce a space priority policy for ATM nodes in this paper which is very similar to the weighted core-stateless fair queueing(WCSFQ) in IP nodes. We also analyze the loss probabilities for different classes of cells for MMPP/D/1/K with a threshold level, and discuss the numerical results. The numerical results illustrate that the WCSFQ scheme can be used to support the differentiated services in ATM or IP nodes.

• Journal of the Korea Safety Management & Science
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• v.11 no.1
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• pp.175-182
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• 2009

The effort for GSI based IT system consolidation has been continued due to the increase of the system and complication increase of system connection, mainly by the global company. Since successful example of GSI realization by part of developed company affect to Korea, global level IT system consolidation has been examined mainly by the domestic company that have great deal of overseas business. Although they have examined consolidation possibility mainly on R&D, finance, operation management part which is the base part of company management, there are limitation for consolidation realization because of the difference between regional business problem of huge cost needed for consolidation. To overcome these realization limitations, it is necessary to lead risk and cost reduction through stepwise part unity and decide Priority Evaluation Framework for Consolidation target and systematic consolidation strategy. For GSI realization, appropriate distributions of unification time according to target system are needed. In this study, based on easiness and usefulness of consolidation and connection between the targets, evaluation methodology for Priority Evaluation Framework of system consolidation has been developed. Priority Evaluation Framework has been decided by applying developed methodology to global production company of high tech industrial part. Through this methodology, companies can realize successful and stable GSI by investing global resources intensively by Priority Evaluation Framework of consolidation target system.

• Journal of Korean Society of Rural Planning
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• v.25 no.3
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• pp.89-102
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• 2019

This study was conducted to investigate priority recognition of experts and related facility operators in establishing policies for revitalizing agro-healing services. After reviewing related studies, 5 policy division and 19 detailed sector were drawn, including improving accessibility, improving promotion and information provision method, improved public relations and information provision, diversification of facility and program, financial support, and expansion of expert and specialized institutions. A questionnaire survey was conducted on agro-healing experts, agro-healing facility operators, social welfare experts, and social welfare facility operators. The AHP analysis indicated that agro-healing experts and facility operators had the highest priority in the division of expansion of expert and specialized institutions, while social welfare experts and facility operators had the highest priority in financial support. The IPA analysis was conducted to identify the priority of each policy sector. Respondents recognized above normal importance to policy divisions, but were relatively aware of the importance of improving accessibility, with overall satisfaction level appearing to be moderate. The results of this study are expected to provide useful information for establishing agro-healing policies and for establishing effective strategies.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1315-1325
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• 2021

This study aimed to design a strategy in encouraging the loyalty level of priority customers of Sharia banks in Indonesia. The strategy was outlined in a series of alternative applicative programs priority. The use of ANP intended to simplify the existing problems so that the offered solution was easier to apply. Each item was scored on a 5-point Likert scale. The expected outcome was to give priority scales to the offered solutions. The findings of this study are service quality, brand image, bank image which could build customer loyalty in Sharia banks. Priority customer gathering could strengthen the bonds between customers and also between customers and their banks. The excellence of Sharia banks in terms of service quality, brand image, and bank image, when combined with priority customer gathering activities, would become a powerful formula in increasing priority customer loyalty to banks that lead to increased revenue from banks. Originality of this research was the formulation process of a new approach in search of ways to increase the customer loyalty, as well as giving concrete proposals for the banking world in designing customer loyalty improvement programs. This paper shows the updated strategy in Customer Loyalty, Bank image, Brand image, Banking service quality.

• Journal of KIISE:Software and Applications
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• v.37 no.7
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• pp.568-572
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• 2010

Self-healing is one of the techniques that assure dependability of mission-critical system. Self-healing consists of fault detection and fault recovery and fault detection is important first step that enables fault recovery but it causes overhead. We can detect fault based on model, the detection tasks that notify system's behavior and compare normal behavior model and system's behavior are heavy jobs. In this paper, we propose architecture-based multi-level self-adaptive monitoring method that complements model-based fault detection. The priority of fault detection per component is different in the software architecture. Because the seriousness and the frequency of fault per component are different. If the monitor is adapted to intensive to the component that has high priority of monitoring and loose to the component that has low priority of monitoring, the overhead can be decreased and the efficiency can be maintained. Because the environmental changes of software and the architectural changes bring the changes at the priority of fault detection, the monitor learns the changes of fault frequency and that is adapted to intensive to the component that has high priority of fault detection.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.47 no.5
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• pp.80-86
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• 2010

The conventional bus system architecture consists of masters, slaves, arbiter, decoder and so on in shared bus. As several masters can't use a bus concurrently, arbiter plays an role in arbitrating the bus. The efficiency of bus usage can be determined by the selection of arbitration method. Fixed Priority, Round-Robin, TDMA and Lottery arbitration policies are studied in the conventional arbitration method where the bus priority is primarily considered. In this paper, we propose the arbitration method that calculates the bus utilization of each master. Furthermore, we verify the performance compared with the other arbitration methods through TLM(Transaction Level Model). From the results of performance verification, the arbitration methods of Fixed Priority and Round-Robin can not set the bus utilization and those of TDMA and Lottery happen the error of 50% and 70% respectively compared with bus utilization set by user in more than 100,000 cycles. On the other hand, the bandwidth-award bus arbitration method remains the error of less than 1% since approximately 1000 cycles, compared with bus utilization set by user.