• Asian Pacific Journal of Cancer Prevention
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• v.16 no.9
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• pp.3639-3644
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• 2015

Oral, cervical and breast cancers, which are either preventable and/or amenable to early detection and treatment, are the leading causes of cancer-related morbidity and mortality in India. In this paper, we describe implementation science research priorities to catalyze the prevention and control of these cancers in India. Research priorities were organized using a framework based on the implementation science literature and the World Health Organization's definition of health systems. They addressed both community-level as well as health systems-level issues. Community-level or "pull" priorities included the need to identify effective strategies to raise public awareness and understanding of cancer prevention, monitor knowledge levels, and address fear and stigma. Health systems-level or "push" and "infrastructure" priorities included dissemination of evidence-based practices, testing of point-of-care technologies for screening and diagnosis, identification of appropriate service delivery and financing models, and assessment of strategies to enhance the health workforce. Given the extent of available evidence, it is critical that cancer prevention and treatment efforts in India are accelerated. Implementation science research can generate critical insights and evidence to inform this acceleration.

• Journal of Korean Academy of Nursing
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• v.32 no.6
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• pp.803-811
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• 2002

This study was to identify priority areas of nursing research in Korea. Method: A data analysis was done for the PhD subjects (n=133) who responded at the national level two-rounds delphi survey. Subjects were asked to assign a score from 1 to 7 for 29 nursing research areas regarding 3 aspects: the degree of nurses research leadership; the degree of contribution to nursing professions; and the degree of contribution to health and welfare of patients/clients. Result: For the overall three aspects, research area on clinical nursing practice was identified as the first priority, followed by nursing education, home health nursing, nursing research, and chronic disease. For nursing research leadership, research area on clinical nursing practice, nursing education, home health nursing, nursing research, and nursing diagnosis were identified. Concerning contribution to the nursing profession, the first priority was nursing education, followed by clinical nursing practice, nursing research, nursing policy, and home health nursing. Concerning contribution to the health/welfare of patients, clinical nursing practice, home health care, geriatric nursing, chronic disease, and symptom management were ranked as top 5 research priorities. Conclusion: The findings of this national survey will assist in building insights into the research needs of nurses practicing in Korea.

• Journal of Korea Technology Innovation Society
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• v.2 no.2
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• pp.201-218
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• 1999

The article contains an introduction of possibility of applying Multi-Attribute Utility Theory(MAUT) for priority setting of R&D projects. MAUT is compared with AHP, which is widely used recently. These two techuiques are applied to set priorities of R&D projects In a Government-funded Research Institute. Six criteria are chosen from consultation with decision makers. They are composed of 1) validity as representative projects, 2) possibility of resource mobilization, 3) spillover effect of developed technologies, 4) possibility of success, 5) scope of participation and 6) clarity of research goal. To set priorities of R&D projects, SMART(Simple MultiAttribute Rating Technique) and DVM(Difference Value Measurement) out of many MAUT methods are used to design the utility function and to determine the weights among criteria. The aggregation model is additive on the assumption the criteria are independent. AHP executes pairwise comparisons for criteria and alternatives. From the results of the case study, the results and theoretical characteristics are compared.

• Journal of the military operations research society of Korea
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• v.27 no.2
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• pp.37-55
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• 2001

The main purpose of this study is to review the current system and to develop a decision support system for evaluating the priorities among those possible alternatives in the army facility enterprise. This paper also provides an information system which can be effectively applied to various criteria and stages in decision making process such as Planning and Programming phases in PPBEES. The model base of decision support systems uses the concepts of the analytic hierarchy process along with the supplementary techniques such as TOPSIS and 0-1 integer programming. Both AHP and TOPSIS are used scoring approaches in the Planning phase and IP is induced at the Programming phase to give GO/NO-GO solution for each project. We use Expert Choice, Excel and LINDO s/w's to implement a prototyped model. The proposed methodology in this paper enables the decision makers to evaluate the priority based on quantitative and qualitative data in a systematic way.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.4
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• pp.541-550
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• 2018

The works of preparing for missile flight test are becoming more complicated. To reduce the amount of waste time along with the complexity of the task, systematic analysis of waste factors should be performed before performing process improvement. The waste factors for missile flight test are first defined using lean-based waste factors. The improvement priorities for the defined waste factors are surveyed. For reliable analysis, AHP is used in questionnaire analysis instead of the existing method with large error. Then weighting and priority for waste factors for level 1 and Level 2 are suggested. Through AHP, we could derive reliable improvement priorities for waste factors. It is analyzed that the biggest cause of waste factors is waiting time and identified as the first item to be considered when establishing improvement plan. In addition, suggestions for improvement measures of waste factors are presented through brainstorming method. Reliable results will be an important factor in process redesign for missile flight test works.

• Journal of Korean Society of Water and Wastewater
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• v.34 no.4
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• pp.289-301
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• 2020

Since sewer rehabilitation program requires long construction period and enormous capital investment, determination of rehabilitation priorities is important with systematic planning considering appropriate evaluation parameters. In this research, we applied PROMETHEE(Preference Ranking Organization METHod for Evaluations) known as very objective and scientific multi-criteria decision-making analysis, using the weights determined by AHP(Analytic Hierarchy Process) for the selected sewer evaluation items to calculate the rehabilitation priorities for each sewer sub-catchment in basin Gusan 1 of Seoul. Preference functions and preference thresholds were estimated for each criterion of ratio of lack of hydraulic capacity of sewers, defect ratio, ratio of sewers with velocity less than its minimum criteria, and density of sewers in the sub-catchment. As a result, it was found that region d had the first priority among four sub-catchments. For each and every sewer located in region d, we could also rank sewers to be rehabilitated urgently.

• Journal of the Korean Society of Costume
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• v.53 no.3
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• pp.89-106
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• 2003

The purpose of this study is to analyze the expressive effects of Queen Elizabeth I's robes in cinema and also to present two examples of Queen Elizabeth I's robes designed and made based on these expressive effects. To this end, this study wilt first examine Queen Elizabeth I's robes in her portraits according to the visual definers and emblematic meanings. Then on the basis of these knowledges, analyze visual definers and viewing priorities of Queen Elizabeth I's robes in five movies. Thereinafter, these robes will be classified based upon Belong(1998)'s four expressive effects. excitement. calmness, strength and delicacy. Finally, this study will demonstrate calmness and delicacy among four expressive effects through two robes made for the purpose. After analyzing the expressive effects of robes in five Queen Elizabeth I's movies, one can conclude excitement. calmness, strength, and delicacy can be found according to the flow of the story. Since this analysis focuses mainly on one particular person during one Particular period of time, there was a fundamental silhouette prevalent among the Queen's robes which then can be classified into different forms. Moreover, Queen's character in itself embodies authority and grace which. in turn, facilitates the presentation of the four expressive effects along the story line. In conclusion, thorough historical research on the character and the period. in addition to analysis of the visual definer and viewing priorities, is imperative when designing a historical costume.

• International Journal of Contents
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• v.7 no.2
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• pp.32-35
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• 2011

This research would be the first step toward in the long processes of proton technology industrial cluster development by focusing on the region's readiness and acceptability of the proton technology project. As is shown in our questionnaire survey, the top priorities needed to consider for the Proton Technology project are found to be job creation (mean 3.74), regional economic development (mean 3.72), industry infrastructure(3.54), institution for science and education(3.53), economic inequalities(3.33), tourism industry revitalization(3.20). For public servants top priorities in order found to be regional economic development, job creation, industry infrastructure, institution for science and education, economic inequalities, tourism industry revitalization. Universities' priorities in order found to be job creation, regional economic development, institution for science and education, industry infrastructure, economic inequalities, tourism industry revitalization. The mean reliability score for the each party was found to be mayor((3.04), citizens(2.99), province(2.97), private corporation(2.96), and universities((2.93). Of particular note, the mean score except the mayor were all below median (3.00). province(3.24), city council member(3.20), public employees (3.09), private corporation(3.03), nonprofit organization (2.97), mass media (2.96), citizens(2.96), and universities(2.89). The universities and colleges also should revise their strategic plans and thus restructure their internal academic programs, and must develop their own collaborative programs with Proton Engineering Frontier Project, related industries, city, and other government units. Not only educating, training, and providing top-notched man powers to the proton technology industries will be one of their primary missions.

• ETRI Journal
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• v.39 no.5
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• pp.695-706
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• 2017

This paper presents a caching algorithm that offers better reconstructed data quality to the requesters than a probabilistic caching scheme while maintaining comparable network performance. It decides whether an incoming data packet must be cached based on the dynamic caching probability, which is adjusted according to the priorities of content carried by the data packet, the uncertainty of content popularities, and the records of cache events in the router. The adaptation of caching probability depends on the priorities of content, the multiplication factor adaptation, and the addition factor adaptation. The multiplication factor adaptation is computed from an instantaneous cache-hit ratio, whereas the addition factor adaptation relies on a multiplication factor, popularities of requested contents, a cache-hit ratio, and a cache-miss ratio. We evaluate the performance of the caching algorithm by comparing it with previous caching schemes in network simulation. The simulation results indicate that our proposed caching algorithm surpasses previous schemes in terms of data quality and is comparable in terms of network performance.

• Journal of Korea Game Society
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• v.19 no.2
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• pp.55-66
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• 2019

This research studied how game contents related experts recognize the transition of contents industries in intellectual information era. This study also studied experts' priorities of evaluation elements in contents industry policies. For this, Analytic Hierarchy Process was utilized to analyze the relative importance and priorities of evaluation elements in contents industry policies. According to the analysis, the order of priorities was 'strengthening content technology', 'training content experts', 'improving the contents-related system' and 'strengthening content usage and consumer safety'. Also, in complex importance analysis, 'strengthening R&D system for content' was gauge as the most important element. In the analysis about each related group's thinking, industries and policy institutes considered 'strengthening content technology' important and academia evaluated 'training content experts' as the most important one.