• Title/Summary/Keyword: Quantification Analysis

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Quantification Analysis of Soft Power through Sentiment Analysis (감성분석을 통한 소프트 파워의 수치화 분석)

  • An-Min;Bong-Hyun Kim
    • Advanced Industrial SCIence
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    • v.3 no.2
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    • pp.1-7
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    • 2024
  • This paper deals with the topic of quantification of soft power through emotional analysis. Sentiment analysis refers to the process of detecting and analyzing emotions or emotions in various data such as text, voice, and images. Therefore, in this paper, we explored the methodology and significance of how soft power can be quantified through emotional analysis. Soft power refers to the ability of a country or organization to influence the behavior of another country or organization in a desired direction. It is built by soft factors such as culture, values, and political system rather than military or economic means. Additionally, sentiment analysis is being used as a useful tool to measure and understand these soft areas.

One-time Traversal Algorithm to Search Modules in a Fault Tree for the Risk Analysis of Safety-critical Systems (안전필수 계통의 리스크 평가를 위한 일회 순회 고장수목 모듈 검색 알고리즘)

  • Jung, Woo Sik
    • Journal of the Korean Society of Safety
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    • v.30 no.3
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    • pp.100-106
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    • 2015
  • A module or independent subtree is a part of a fault tree whose child gates or basic events are not repeated in the remaining part of the fault tree. Modules are necessarily employed in order to reduce the computational costs of fault tree quantification. This quantification generates fault tree solutions such as minimal cut sets, minimal path sets, or binary decision diagrams (BDDs), and then, calculates top event probability and importance measures. This paper presents a new linear time algorithm to detect modules of large fault trees. It is shown through benchmark tests that the new method proposed in this study can very quickly detect the modules of a huge fault tree. It is recommended that this method be implemented into fault tree solvers for efficient probabilistic safety assessment (PSA) of nuclear power plants.

Reinforcing Effect of Thin-wall at Serviceability Condition (상시하중상태에서 박벽의 보강효과에 대한 연구)

  • Kim, Doo-Hwan;Yoon, Seong-Soo;Park, Jin-Seon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.52 no.2
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    • pp.11-17
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    • 2010
  • For the reasonable analysis of design problems for agricultural facilities, considered the reinforcing effect of thin-wall. The most of agricultural structure is constructed small scale and have many purposes. Thus it has been designed temporary rather than permanent structure, and has relatively large slenderness ratio, small section and semi-rigid condition. Therefore many agricultural facilities are consist of relatively strong frame with weak wall at the viewpoint of stiffness and have not been reflected in the design. But the tension field influences to collapse of structure have already known. Therefore, we need quantification the effect of tension field at structural analysis. In this study, present the method of quantification the effect of tension field that came out thin-plate surrounded by high stiffness frame. The numerical results show that the effect of tension field effect for thin-wall is about 5% of the sectional area of frame in study agricultural facilities.

Cleanup Quantification Method for Evaluation of Window Cleaning Work (유리창 청소작업 평가를 위한 청결도 정량화 방안)

  • Kim, Kyoon-Tai;Jun, Young-Hun
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.320-321
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    • 2018
  • In the past, the results of window cleaning work have been judged subjective and complaints about cleaning results are being raised. In this study, we tried to quantify the evaluation of the cleaning result. For the quantification of the evaluation, a colorimeter was selected and the basic experiment was carried out. In addition, this study examined the use of standard dust powder for artificial production of contaminants in glasses. Further evaluation and analysis will be carried out to quantify the evaluation criteria of the cleaning results.

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Quantification of Globotriaosylsphingosine in Urine using UPLC-ESI-MS/MS; Application for Screening Fabry Disease (파브리병의 신속한 진단을 위한 소변 중 Globotriaosylsphingosine의 UPLC-ESI-MS/MS 분석법)

  • Yoon, Hye-Ran
    • YAKHAK HOEJI
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    • v.60 no.1
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    • pp.15-20
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    • 2016
  • Globotriaosylsphingosine (lyso Gb3) is considered as one of the biomarkers for Fabry disease. A rapid and simple UPLC-MS/MS method was developed for the determination of reliable biomarker, lyso Gb3. Total analytical procedure takes only 15 min including sample preparation and MS/MS analysis. Limit of detection was 0.85 ng/ml (S/N=3). The calibration curve was linear over the range of 2.0~400.0 ng/ml ($R^2=0.9999$). Inter-day and intra-day assay accuracy were 93.4~100.6% (RSD, 0.6~6.0%) and 97.5~100.7% (RSD, 3.6~5.2%). Absolute recoveries of 97.6~98.6 showed excellence of a new analytical method. The method was applied to human and mice urines, proved the suitability for the quantification of lyso-Gb3 for screening, diagnosis and therapeutic monitoring of Fabry disease patients.

Quantitative Analysis of Flow in MMORPG Games (MMORPG 기반 게임의 몰입에 대한 정량적 분석 방법)

  • Nam, Byeong-Cheol;Bae, Ki-Tae
    • Journal of Korea Game Society
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    • v.11 no.3
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    • pp.73-84
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    • 2011
  • Online game market accounts for 56.4% of entire game industry in Korea. MMORPG games account for a great part of online game market which have 45.27%. However, most of them are wholly reliant on their subjective criteria - not general rule or standard in the planning and developing process. For this reason, they can be easily misunderstood imitation game which has no difference or creativeness from masterpiece. In this paper to solve this problem especially deals with the quantification of flow through analysis of MMORPG to propose common information or method of quantitative analysis. The method of quantitative analysis which deals with the quantification of flow through analysis of successful MMORPG verifies the effectiveness of the proposed method.

Quantification Method of Tunnel Face Classification Using Canonical Correlation Analysis (정준상관분석을 이용한 막장등급평가 수량화기법 연구)

  • Seo Yong-Seok;Kim Chang-Yong;Kim Kwang-Yeom;Lee Hyun-Woo
    • The Journal of Engineering Geology
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    • v.15 no.4 s.42
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    • pp.463-473
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    • 2005
  • Because of using the same rating ranges for every rock types the RMR or the Q-system could not usually consider local geological characteristics They also could not present sufficiently the engineering anisotropy of rocks. The canonical correlation analysis was carried out with 3 kinds of face mapping data obtained from granite, sedimentary rock and phyllite in order to clarify a discrepancy between rock types. According to analysis results, as a type of rocks changes, RM factors have different influences on the total rating of RMR.

Effective and Statistical Quantification Model for Network Data Comparing (통계적 수량화 방법을 이용한 효과적인 네트워크 데이터 비교 방법)

  • Cho, Jae-Ik;Kim, Ho-In;Moon, Jong-Sub
    • Journal of Broadcast Engineering
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    • v.13 no.1
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    • pp.86-91
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    • 2008
  • In the field of network data analysis, the research of how much the estimation data reflects the population data is inevitable. This paper compares and analyzes the well known MIT Lincoln Lab network data, which is composed of collectable standard information from the network with the KDD CUP 99 dataset which was composed from the MIT/LL data. For comparison and analysis, the protocol information of both the data was used. Correspondence analysis was used for analysis, SVD was used for 2 dimensional visualization and weigthed euclidean distance was used for network data quantification.

Verification of Reduced Order Modeling based Uncertainty/Sensitivity Estimator (ROMUSE)

  • Khuwaileh, Bassam;Williams, Brian;Turinsky, Paul;Hartanto, Donny
    • Nuclear Engineering and Technology
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    • v.51 no.4
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    • pp.968-976
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    • 2019
  • This paper presents a number of verification case studies for a recently developed sensitivity/uncertainty code package. The code package, ROMUSE (Reduced Order Modeling based Uncertainty/Sensitivity Estimator) is an effort to provide an analysis tool to be used in conjunction with reactor core simulators, in particular the Virtual Environment for Reactor Applications (VERA) core simulator. ROMUSE has been written in C++ and is currently capable of performing various types of parameter perturbations and associated sensitivity analysis, uncertainty quantification, surrogate model construction and subspace analysis. The current version 2.0 has the capability to interface with the Design Analysis Kit for Optimization and Terascale Applications (DAKOTA) code, which gives ROMUSE access to the various algorithms implemented within DAKOTA, most importantly model calibration. The verification study is performed via two basic problems and two reactor physics models. The first problem is used to verify the ROMUSE single physics gradient-based range finding algorithm capability using an abstract quadratic model. The second problem is the Brusselator problem, which is a coupled problem representative of multi-physics problems. This problem is used to test the capability of constructing surrogates via ROMUSE-DAKOTA. Finally, light water reactor pin cell and sodium-cooled fast reactor fuel assembly problems are simulated via SCALE 6.1 to test ROMUSE capability for uncertainty quantification and sensitivity analysis purposes.