• Title/Summary/Keyword: quantitative evaluation models

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A Study on the Priority Analysis of Information Systems by Stakeholders (이해당사자별 정보시스템 사용의 우선순위 분석에 대한 연구)

  • Kyung, Tae-Won;Kim, Sang-Kuk;Lee, Jie-Young
    • The Journal of Information Technology
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    • v.12 no.2
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    • pp.13-29
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    • 2009
  • ERP in the past, primarily centering on large enterprises and the introduction of competition in the global e-business, but along with the proliferation of small and medium-sized enterprises are now in earnest, or to take advantage of the introduction of the ERP plan. However, the introduction of the ERP cost and the effort required to develop, because many never previously introduced ERP expect that the introduction of cost and performance comparisons with the measurement is necessary. Until now, however, the introduction of a framework of analysis followed the introduction of ERP primarily to measure performance of a major improvement. This research, in addition to improving the performance of these tasks have been overlooked until now for the system's user satisfaction BSC (Balanced Scorecard) models and techniques using AHP-specific understanding of the Company (Group executives, middle managers groups, and user groups) Importance of priorities you want to analyze. In summary, the key findings of this study follows. First, ERP user satisfaction measurement for the balanced scorecard indicators in terms of the redevelopment. Second, the information system user satisfaction to the user layer (Layer 3), grouped by the measure. Thirdly, the user satisfaction of the important topics for attention as quantified by measuring the hierarchy. This model is for satisfaction levels as quantitative of future users of the new system, information systems and the introduction of a new model of development based on the evaluation data will be able to take advantage of.

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An Optimal Restoration Method of Noncarious Cervical Lesions Using Three-Dimensional Finite Element Analysis (3차원 유한요소해석을 이용한 비우식성 치아의 수복 방법)

  • Woo, Sung-Gwan;Kim, Kwang-Hoon;Park, Jeong-Kil;Hur, Bock;Son, Kwon
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.7 s.196
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    • pp.112-119
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    • 2007
  • Cavities of Class V are caused by heavy occlusal loads due to bruxism and clenching habit. It is general to restore abfraction lesions with dental filler materials to reduce stress concentration. A material should be selected from various dental products based on long term clinical experiences or personal preference concerning filler methods. A quantitative criterion is necessary to make an evaluation of the results as dentists decide treatment methods and dental materials relying on their clinical experiences. The purpose of this study is to find an optimal restoration method and material for noncarious cervical lesions using the finite element method. An objective function was defined to minimize the sum of tensile and compressive stresses. Several models with different combinations of resins were suggested and compared in terms of the values of objective function. An optimal solution was to fill TetricFlow inside the lesion and Z100 in the remaining region with a thickness ratio of 0.125.

Mapping Biodiversity throughoptimized selection of input variables in decision tree models (의사결정나무 변수 선정 방법을 적용한 대축적 생물다양성 지도 구축)

  • Kim, Do Yeon;Heo, Joon;Kim, Chang Jae
    • Journal of Environmental Impact Assessment
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    • v.20 no.5
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    • pp.663-673
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    • 2011
  • In the face of accelerating biodiversity loss and its significance in our coexistence with nature, biodiversity is becoming more crucial in sustainable development perspective. To estimate biodiversity in the future which provides valuable information for decision making system especially in the national level, a quantitative approach must be studied forehand as a baseline of the present status. In this study, we developed a large-scale map of Plant Species Richness (PSR, typical indicator of biodiversity) for Young-dong and Pyung-chang provinces. Due to the accessibility of appropriate data and advance of modelling techniques, reduction of variables without deteriorating the predictive power is considered by applying Genetic algorithm. In addition, a number of Correctly Classified Instances (CCI) with 10-fold cross validation which indicates the predictive power, was carried out for evaluation. This study, as a fundamental baseline, will be beneficial in future land work as well as ecosystem restoration business or other relevant decision making agenda.

Open Innovation R&D Efficiency Evaluation by Integrated AHP-DEA (개방형 혁신에 의한 R&D 연구의 효율성 평가 분석 : 과학기술적 성과 관점에서 AHP-DEA방법론 적용)

  • Min, Hyun-Ku;Kim, Tai-Young;Hwang, Seung-June
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.4
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    • pp.149-161
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    • 2012
  • The current environment of technological and competitive changes influences not only the business R&D environment but also government driven national R&D strategies. Open innovation has now become an important paradigm that is replacing the outdated paradigm of closed innovation. Many companies and nations have been increasing R&D investment because R&D has been considered a driving force for national and corporate competitive advantage. The purpose of this paper is to evaluate and compare the performance of R&D focused on open innovation according to scientific and technological outputs which is based on paper publications, patents and etc. Comparisons should not be only based on the quantity but also on the quality of the output. This paper shows that it is possible to develop DEA models that utilize the Analytical Hierarchical Process in order to transform the qualitative index into a quantitative index. Hence, the relative efficiency for R&D organizations is obtained based on both quantity and quality outputs and subsequently provides comprehensive and realistic methods for decision makers to identify levels of project efficiency.

A Study on the Gamification Technology Valuation Framework (게이미피케이션 기술 가치 평가 프레임워크 연구)

  • Baek, Junho;Jang, Jintae;Jeong, Jiyong;Kim, Sangkyun
    • Journal of Korea Game Society
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    • v.18 no.3
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    • pp.17-26
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    • 2018
  • As the concept of experience economy has been accelerated recently, user experience is more emphasized today, most of all. And related representative keywords are gamification. Gamification characterized by that intangible elements are produced and consumed through various interactions between providers and users and by having a structure that is difficult to generalize and objectify to economic value. Therefore, the purpose of the present study is to develop a quantitative valuation indicator of concept and standardize the valuation formula covering economic value for gamification technology and overall framework from the perspective of evaluating economic values of intangible technologies such as of knowledge, design, contents, and service of a company.

Analysis of Typhoon Vulnerability According to Quantitative Loss Data of Typhoon Maemi (태풍 매미의 피해 데이터 기반 국내 태풍 취약성 분석에 관한 연구)

  • Ahn, Sung-Jin;Kim, Tae-Hui;Kim, Ji-Myong
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.05a
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    • pp.125-126
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    • 2019
  • This study aims to recognize damage indicators of typhoon and to develop damage function's indicators, using information derived from the actual loss of typhoon Maemi. As typhoons engender significant financial damage all over the world, governments and insurance companies, local or global, develop hurricane risk assessment models and use it in quantifying, avoiding, mitigating, or transferring the risks. For the reason, it is crucial to understand the importance of the risk assessment model for typhoons, and the importance of reflecting local vulnerabilities for more advanced evaluation. Although much previous research on the economic losses associated with natural disasters has identified the risk indicators that are indispensable, more comprehensive research addressing the relationship between vulnerability and economic loss are still called for. Hence this study utilizes and analyzes the actual loss record of the typhoon Maemi provided by insurance companies to fill such gaps. In this study, natural disaster indicators and basic building information indicators are used in order to generate the vulnerability functions; and the results and indicators suggest a practical approach to create the vulnerability functions for insurance companies and administrative tasks, while reflecting the financial loss and local vulnerability of the actual buildings.

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Modeling of a Scan Type Magnetic Camera Image Using the Improved Dipole Model

  • Hwang Ji-Seong;Lee Jin-Yi
    • Journal of Mechanical Science and Technology
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    • v.20 no.10
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    • pp.1691-1701
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    • 2006
  • The scan type magnetic camera is proposed to improve the limited spatial resolution due to the size of the packaged magnetic sensor. An image of the scan type magnetic camera, ${\partial}B/{\partial}x$ image, is useful for extracting the crack information of a specimen under a large inclined mag netic field distribution due to the poles of magnetizer. The ${\partial}B/{\partial}x$ images of the cracks of different shapes and sizes are calculated by using the improved dipole model proposed in this paper. The improved dipole model uses small divided dipole models, the rotation and relocation of each dipole model and the principle of superposition. Also for a low carbon steel specimen, the experimental results of nondestructive testing obtained by using multiple cracks are compared with the modeling results to verify the effectiveness of ${\partial}B/{\partial}x$ modeling. The improved dipole model can be used to simulate the LMF and ${\partial}B/{\partial}x$ image of a specimen with complex cracks, and to evaluate the cracks quantitatively using magnetic flux leakage testing.

Performance-based evaluation of strap-braced cold-formed steel frames using incremental dynamic analysis

  • Davani, M.R.;Hatami, S.;Zare, A.
    • Steel and Composite Structures
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    • v.21 no.6
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    • pp.1369-1388
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    • 2016
  • This study is an effort to clearly recognize the seismic damages occurred in strap-braced cold formed steel frames. In order to serve this purpose, a detailed investigation was conducted on 9 full scale strap-braced CFS walls and the required data were derived from the results of the experiments. As a consequence, quantitative and qualitative damage indices have been proposed in three seismic performance levels. Moreover, in order to assess seismic performance of the strap-braced CFS frames, a total of 8 models categorized into three types are utilized. Based on the experimental results, structural characteristics are calculated and all frames have been modeled as single degree of freedom systems. Incremental dynamic analysis using OPENSEES software is utilized to calculate seismic demand of the strap-braced CFS walls. Finally, fragility curves are calculated based on three damage limit states proposed by this paper. The results showed that the use of cladding and other elements, which contribute positively to the lateral stiffness and strength, increase the efficiency of strap-braced CFS walls in seismic events.

A Study of Lightening SRGAN Using Knowledge Distillation (지식증류 기법을 사용한 SRGAN 경량화 연구)

  • Lee, Yeojin;Park, Hanhoon
    • Journal of Korea Multimedia Society
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    • v.24 no.12
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    • pp.1598-1605
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    • 2021
  • Recently, convolutional neural networks (CNNs) have been widely used with excellent performance in various computer vision fields, including super-resolution (SR). However, CNN is computationally intensive and requires a lot of memory, making it difficult to apply to limited hardware resources such as mobile or Internet of Things devices. To solve these limitations, network lightening studies have been actively conducted to reduce the depth or size of pre-trained deep CNN models while maintaining their performance as much as possible. This paper aims to lighten the SR CNN model, SRGAN, using the knowledge distillation among network lightening technologies; thus, it proposes four techniques with different methods of transferring the knowledge of the teacher network to the student network and presents experiments to compare and analyze the performance of each technique. In our experimental results, it was confirmed through quantitative and qualitative evaluation indicators that student networks with knowledge transfer performed better than those without knowledge transfer, and among the four knowledge transfer techniques, the technique of conducting adversarial learning after transferring knowledge from the teacher generator to the student generator showed the best performance.

Evaluation of concurrent vaccinations with recombinant canarypox equine influenza virus and inactivated equine herpesvirus vaccines

  • Dong-Ha, Lee;Eun-bee, Lee;Jong-pil, Seo;Eun-Ju, Ko
    • Journal of Animal Science and Technology
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    • v.64 no.3
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    • pp.588-598
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    • 2022
  • Despite vaccination, equine influenza virus (EIV) and equine herpesvirus (EHV) infections still cause highly contagious respiratory diseases in horses. Recently, concurrent vaccination with EIV and EHV was suggested as a new approach; however, there have been no reports of concurrent vaccination with recombinant canarypox EIV and inactivated EHV vaccines. In this study, we aimed to compare the EIV-specific immune responses induced by concurrent administrations of a recombinant canarypox EIV vaccine and an inactivated bivalent EHV vaccine with those induced by a single recombinant canarypox EIV vaccine in experimental horse and mouse models. Serum and peripheral blood mononuclear cells (PBMCs) were collected from immunized animals after vaccination. EIV-specific serum antibody levels, serum hemagglutinin inhibition (HI) titers, and interferon-gamma (IFN-γ) levels were measured by enzyme-linked immunosorbent assay, HI assay, and quantitative polymerase chain reaction, respectively. Concurrent EIV and EHV vaccine administration significantly increased IFN-γ production, without compromising humoral responses. Our data demonstrate that concurrent vaccination with EIV and EHV vaccines can enhance EIV-specific cellular responses in horses.