• Industry Promotion Research
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• v.8 no.3
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• pp.201-210
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• 2023

This study is based on data ecology theory and takes Chinese local governments' open public data as the research object. Data asset value assessment methods are compared from a new perspective of data business operations. The results show that the assessment model constructed using the hierarchical analysis method (AHP) can more objectively reflect the commercial value of government open data assets than the traditional cost, revenue and market methods, has the advantage of a comprehensive assessment of data value index, and better reflects the findings of a comprehensive index of regional data value. The data show that the local government data value assessment index is positively proportional to the region's digital economy development index, highlighting the driving effect on the digital economy. The results of the study provide a good help for the identification of local government data value rights. The research and practice of promoting the construction of data innovation and data business operation models, improving social well-being and promoting the rapid development of the digital economy to achieve data realisation provides a good reference.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.1-7
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• 2019

To overcome the limitations of existing rainwater drainage systems, we compared and analyzed a newly developed eco-friendly channel-type rainwater drainage system. We also developed an integrated evaluation index to quantify the improvement of the new system. The concept of Life Cycle Assessment (LCA) was applied to calculate and compare the costs of each process and to develop the integrated evaluation index, which considers the carbon emissions by each process. As a result, the cost was reduced by 53% overall compared to an O-type system and by 63% compared to a U-type system. In addition, when applying the integrated evaluation index, the new system was evaluated to be over 80% in the four processes compared to the existing systems. When applying the evaluation index to sites in Anyang and Incheon, the new system was improved by 35-100% compared to existing systems.

• Journal of the Society of Disaster Information
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• v.20 no.3
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• pp.609-619
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• 2024

Purpose: The purpose of the study is to select reactivity indicators in the occurrence of ship accidents and change the evaluation index for people who are interested in ship accidents. Method: In order to make the selector's benchability index valid, we conducted an emotional survey of experts, compiled a feasibility assessment using the Likert scale, and performed AHP analysis to work on the relative results. Result: As a result of using the Likert scale for all evaluation indicators, the validity was confirmed by scoring more than 3.5 points on a 5-point scale, and as a result of AHP analysis, priority was given to 9 evaluation indicators. Conclusion: The results of this study developed an evaluation index by establishing a detailed basis for the evaluation index while operating in an aircraft.

• Journal of The Korean Society of Agricultural Engineers
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• v.57 no.4
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• pp.1-9
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• 2015

The development of drought index that provides detailed-spatial-resolution drought information is essential for improving drought planning and preparedness. The objective of this study was to develop the concept of using satellite-based hybrid drought index called the Vegetation Drought Response Index in South Korea (VegDRI-SKorea) that could improve spatial resolution for monitoring local and regional drought. The VegDRI-SKorea was developed using the Classification And Regression Trees (CART) algorithm based on remote sensing data such as Normalized Difference Vegetation Index (NDVI) from MODIS satellite images, climate drought indices such as Self Calibrating Palmer Drought Severity Index (SC-PDSI) and Standardized Precipitation Index (SPI), and the biophysical data such as land cover, eco region, and soil available water capacity. A case study has been done for the 2012 drought to evaluate the VegDRI-SKorea model for South Korea. The VegDRI-SKorea represented the drought areas from the end of May and to the severe drought at the end of June. Results show that the integration of satellite imageries and various associated data allows us to get improved both spatially and temporally drought information using a data mining technique and get better understanding of drought condition. In addition, VegDRI-SKorea is expected to contribute to monitor the current drought condition for evaluating local and regional drought risk assessment and assisting drought-related decision making.

• Structural Engineering and Mechanics
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• v.89 no.4
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• pp.399-409
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• 2024

Assessment of existing concrete bridges is a challenge for owners. It has greater economic impact when compared to designing new bridges. When using conventional linear analyses, judgment of the engineer is required to understand the behavior of redundant structures after the first element in the structural system reaches its ultimate capacity. The alternative is to use a predictive tool such as advanced nonlinear finite element analyses (ANFEA) to assess the overall structural behavior. This paper proposes a new reliability framework for the assessment of existing bridge structures using ANFEA. A general framework defined in previous works, accounting for material uncertainties and concrete model performance, is adapted to the context of the assessment of existing bridges. A "shifted" reliability problem is defined under the assumption of quasi-deterministic dead load effects. The overall exercise is viewed as a progressive pushover analysis up to structural failure, where the actual safety index is compared at each event to a target reliability index.

• Ecology and Resilient Infrastructure
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• v.5 no.2
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• pp.88-93
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• 2018

In-situ water quality sampling is used for accurate water quality assessment. However, in-situ water quality sampling offers limited samples and requires much time and intensive labors. Remote sensing approach has recently applied for water quality assessment. It has shown the advantage of offering a synoptic view but also more efficient and economical. In this study, we utilized Landsat Imagery to estimate the water quality of the Tamsui River basin, considered as one of the most important rivers located in the north of Taiwan. In order to monitor water quality of Tamsui River basin, a linear regression relation between the value of spectral radiance and four water quality parameters are investigated with 38 water sampling stations. Through the regression model, we could estimate river pollution index (RPI) from the predicted value of four water quality parameters. By using RPI, we can examine the pollution level of Tamsui River. The accuracy of RPI conversion of this study ranged from 32.2% to 68.2%.

• Journal of the Korea Safety Management & Science
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• v.4 no.3
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• pp.25-34
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• 2002

The prevention of accidents or diseases is one of the most profitable activities in any business. The useful tools to diagnose existing safety problems and to systematically guide the improvement of those deficiencies have been developed in the world. In the recent, however, the importance of the interface between workers and workplaces has been increasingly recognized. In order to audit the correlations of job environments and workers we developed the rating system called "Ergonomic Workplace Assessment Index" for ergonomic condition in this study. The auditors will measure the degree of compliance of the criteria using judgement techniques, checks and interviews with EWAI(Ergonomic Workplace Assessment Index) which involves 5 categories and total 50 elements. elements.

• Geomechanics and Engineering
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• v.17 no.6
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• pp.527-534
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• 2019

There have been developed a number of methods to assess the abrasivity of rock materials with the increased use of mechanized rock excavation. These methods range from determination of abrasive and hard mineral content using petrographic thin section analysis to weight loss or development of wear flat on a specified cutting tool. The Cerchar abrasivity index (CAI) test has been widely accepted for the assessment of rock abrasiveness. This test has been considered to provide a reliable indication of rock abrasiveness for isotropic rocks. However, a great amount of rocks in nature are anisotropic. Hence, viability assessment of Cerchar abrasivity test for the anisotropic rocks is investigated in this research. The relationship between CAI value and quartz content for the isotropic rocks is well known in literature. However, a correlation between EQ, F-Schimazek value, Rock Abrasivity Index (RAI) and CAI of anisotropic rocks such as phyllite was done first time in literature with this research. The results obtained with this research show F-Schimazek values and RAI values should be considered when determination of the abrasivity of anisotropic rocks instead of just using Cerchar scratch test.

• Journal of Information Processing Systems
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• v.20 no.3
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• pp.285-295
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• 2024

Driven by the vague assessment big data, a product service system (PSS) evaluation method is developed based on a hybrid model of multi-weight combination and improved TOPSIS by relative entropy. The index values of PSS alternatives are solved by the integration of the stakeholders' vague assessment comments presented in the form of trapezoidal fuzzy numbers. Multi-weight combination method is proposed for index weight solving of PSS evaluation decision-making. An improved TOPSIS by relative entropy (RE) is presented to overcome the shortcomings of traditional TOPSIS and related modified TOPSIS and then PSS alternatives are evaluated. A PSS evaluation case in a printer company is given to test and verify the proposed model. The RE closeness of seven PSS alternatives are 0.3940, 0.5147, 0.7913, 0.3719, 0.2403, 0.4959, and 0.6332 and the one with the highest RE closeness is selected as the best alternative. The results of comparison examples show that the presented model can compensate for the shortcomings of existing traditional methods.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.405-410
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• 2020

Professionalism, objectivity, and fairness are highly required in the assessment of tasks in national research and development projects. Experts in the technologies should thus focus on the task's plan in the review process. The same scores in the assessment, however, do not mean that the judges don't have the same opinions. Another problem is the possibility that different weights can be applied for evaluation indexes. This study proposed an AHP-based assessment criteria decision system for national research and development tasks to reduce errors in task assessment and selection and improve the professionalism and fairness by objectifying the evaluation criteria of each index. As a result, the assessment criteria were objectified for each index in the projects. In addition, the professionalism and fairness of experts were secured in the process of setting assessment criteria for each index based on the given marks of weights.