• Title/Summary/Keyword: quality test model

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Transform Coding Based on Source Filter Model in the MDCT Domain

  • Sung, Jongmo;Ko, Yun-Ho
    • ETRI Journal
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    • v.35 no.3
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    • pp.542-545
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    • 2013
  • State-of-the-art voice codecs have been developed to extend the input bandwidth to enhance quality while maintaining interoperability with a legacy codec. Most of them employ a modified discrete cosine transform (MDCT) for coding their extended band. We propose a source filter model-based coding algorithm of MDCT spectral coefficients, apply it to the ITU-T G.711.1 super wideband (SWB) extension codec, and subjectively test it to validate the model. A subjective test shows a better quality over the standardized SWB codec.

The Quantity Data Estimation for Software Quality Testing (소프트웨어 품질 평가를 위한 정량적 자료 예측)

  • Jung, Hye-Jung
    • Journal of the Korea Convergence Society
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    • v.8 no.10
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    • pp.37-43
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    • 2017
  • In this paper, we propose a method for estimation software quality in terms of software test data, and it is necessary to predict the period of time required for software test evaluation. We need a model to understand of estimation of software quality. In this paper, we propose a model to estimate the number of days for software test using the data obtained through the tester's sex, and present a model for analysing the number of errors according to six quality characteristics by software type.

Determining Adventure Tourist Loyalty: Mediating Role of Tourist Satisfaction and Quality of Life

  • ROHMAN, Fatchur
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.255-265
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    • 2020
  • This study aims to test the interrelationship among perceived value, tourist satisfaction, quality of life, and tourist loyalty in an Indonesian tourist adventure destination. The respondents were recruited from Bromo Mountain, East-Java Province, Indonesia. For this study, 250 questionnaires were distributed, of which 240 could be used for analysis, yielding a response rate of 96%. Data was analyzed using Partial Least Squares with smartPLS 3 software. Both outer model and inner model evaluation were conducted to ensure the robustness of the proposed model. The findings showed that perceived value does not have a direct significant effect on tourist loyalty. However, tourist satisfaction and quality of life have significant effects on tourist loyalty. The mediating effect test indicated that tourist satisfaction and quality of life significantly mediated the effect of perceived value on tourist loyalty. The multi-group analysis test found that the demographic factor does not have any influence. By accomplishing its research objectives, this study provides both theoretical and practical contributions. From a theoretical standpoint, this study provides a comprehensive conceptual model in explaining Indonesia adventure tourist loyalty. From a practical standpoint, this study offers recommendations to adventure tourism management to enhance the sustainability of the tourism destination, especially the adventure tourism destination.

A Comprehensive Information System Validation Model

  • Choi, Kyung-Sub
    • 한국경영정보학회:학술대회논문집
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    • 2007.06a
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    • pp.557-561
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    • 2007
  • Along with the significance of information systems in today s global business operation, the significance of information systems control and audit is ever increasing in the effort to secure accuracy and integrity of vital business data. A study is undertaken to integrate Food and Drug Administration computerized systems validation regulations. Securities & Exchange Commission Sarbanes-Oxley Act of 200 and other significant regulations, and lastly, People Capability Maturity Model into one comprehensive information system validation model. The initial benefits to this comprehensive model are convenience, time-saving, and synchronization of the regulations. An organization that is striving for a high level of quality system in its essential operating areas of organization may opt for this model. After the complete development of the model, a field test would be scheduled to test its efficacy and validity.

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Effects of Learning Expectation and Perceived Knowledge Sharing on User Satisfaction and IS Continuance (학습기대와 지식공유 지각이 사용자 만족과 지속사용에 미치는 영향)

  • Kim, In Chan;Baek, Seung Nyoung
    • The Journal of Information Systems
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    • v.28 no.4
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    • pp.377-401
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    • 2019
  • Purpose The purpose of this study is to investigate the effects of learning expectation and perceived knowledge sharing on user satisfaction and IS continuance in the Korean Army which is currently using the Regiments' Information System to help their Integrated Administration Management. Based on both the Information System(IS) Continuance Model and IS Success Model, this study also examine the role of system quality on user satisfaction. We develop a research model(structural equation model) and its hypotheses that learning expectation, perceived knowledge sharing, and system quality increase users' satisfaction, which leads to IS continuance. The effect of learning expectation on perceived knowledge sharing is also hypothesized. Design/methodology/approach Online Survey using e-mails was administered to test our research model and associated hypotheses. Among the 360 e-mail letters including our survey questionnaire, 285 responses were collected via e-mails. Meaningful 225 cases were analyzed for our study. SPSS Statistics 24.0 and SmartPLS 3.0 were used to analyze both measuremant test and hyotheses test by using the data set. Findings Survey results show that learning expectation(confirmation variable), learning expectation, perceived knowledge sharing(a perceived usefulness variable), and system quality(a system characteristic) each increases user satisfaction, which leads to IS continuance, under the control of the effect of habit to use information systems. Learning expectation also has a positive influence on perceived knowledge sharing. Theoretical and practical implications are presented.

Development of Empirical Model for the Air Pollutant Dispersion in Urban Street Canyons Using Wind Tunnel Test (풍동실험을 이용한 도시거리협곡에서의 대기오염확산모델의 개발)

  • Park, Seong-Kyu;Kim, Shin-Do;Lee, Hee-Kwan
    • Journal of Korean Society of Environmental Engineers
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    • v.27 no.8
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    • pp.852-858
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    • 2005
  • Modeling techniques for air quality are useful tools in air quality management. Especially, the air quality in urban area is significantly influenced by local surroundings such as buildings and traffic. When considering the air quality in a street canyon, which is usually filmed by a series of consecutive buildings and a street, currently available air dispersion model have a number of limitations to predict the air quality properly. In this study, it is aimed to propose an empirical model for the air quality in urban street canyons. A series of wind tunnel tests, followed by statistical analysis, were conducted. In conclusion, it is found that a wide street canyon and a perpendicular external wind to the street canyon are beneficial to achieve an enhanced air quality in street canyon environment. The model prediction using the proposed model also shows reliable correlations to the wind tunnel test results.

Vibration Ride Quality Optimization of a Suspension Seat System Using Genetic Algorithm (유전자 알고리즘을 이용한 SUSPENSION SEAT SYSTEM의 진동 승차감 최적화)

  • Park, S.K.;Choi, Y.H.;Choi, H.O.;Bae, B.T.
    • Proceedings of the KSME Conference
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    • 2001.06b
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    • pp.584-589
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    • 2001
  • This paper presents the dynamic parameter design optimization of a suspension seat system using the genetic algorithm. At first, an equivalent 1-D.O.F. mass-spring-damper model of a suspension seat system was constructed for the purpose of its vibration analysis. Vertical vibration response and transmissibility of the equivalent model due to base excitations, which are defined in the ISO's seat vibration test codes, were computed. Furthermore, seat vibration test, that is ISO's damping test, was carried out in order to investigate the validity of the equivalent suspension seat model. Both analytical and experimental results showed good agreement each other. For the design optimization, the acceleration transmissibility of the suspension seat model was adopted as an object function. A simple genetic algorithm was used to search the optimum values of the design variables, suspension stiffness and damping coefficient. Finally, vibration ride performance test results showed that the optimum suspension parameters gives the lowest vibration transmissibility. Accordingly the genetic algorithm and the equivalent suspension seat modelling can be successfully adopted in the vibration ride quality optimization of a suspension seat system.

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A Structural Model for Quality of Life in Individuals with Rheumatoid Arthritis (류마치스성 관절염 환자의 삶의 질에 대한 구조 모형)

  • 오현수;김영란
    • Journal of Korean Academy of Nursing
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    • v.27 no.3
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    • pp.614-626
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    • 1997
  • The main purposes of the study were to develop and test a model which explains the dynamic relationship among factors reported as affecting to the quality of life of individuals with rheumatoid arthritis and to examine the relationship between self-help response and quaility of life. Data for the study were collected from March 1996 to December 1996 from 153 female patients who regularly visited a clinic for people with rheumatism. The patients were introduced to the investigators by nurses who worked at that clinic, and then the investigator interviewed the patients for 30 to 40 minutes to collect the data. Instruments used in the study were modified self-report questionaires from the ones which were already developed in previous studies or from related literature. Data analysis were performed using LISREL(Lineal Structural Relations) 8 program to test whether the proposed hypothesized model fit the collected data. To test the fitablity of the hypothesized model both a general fit measure and a detailed fit measure were used. Based on the test results from the various fit measures, the hypothesized model was found to be well suited to the real data. As characteristics related to illness becomes severe, the feasibility for these characteristics leading to the perception of uncertainty about the illness tend to increase, but, the direct effects from the illness characteristics(such as level of physical symptoms, sense of social-psychologic change, limitations of action) as they are related to the other intrinsic variables (self-efficacy or self-help behavior and quality of life), were found to be not significant. It was found that uncertainty had a direct effect on self-efficacy but did not have a direct effect on self-help behavior or quality of life. Also, it is noted that self-efficacy had a positive effect on self-help behavior and quality of life and there was a bilateral relationship between self-efficacy and self-help behavior. Lastly, the hypothesis proposed from the theoretical model in this study was supported basis of the results that self-help behavior provides both direct and positive effects to quality of life. Particularity, since a bilateral relationship was also found between self-help behavior and quality of life in the modified model, as self-help behavior increased, so did quality of life. And, reversely, as quality of life increased, so did self-help behavior. In conclusion, the results of this study suggest that focusing on both acquirement and reinforcement of adjustment factors or self-help behavior is more efficient than focusing on the characteristics of illness in establishing the stategies for improving quality of life of individuals with rheumatoid arthritis.

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Preliminary Uncertainty Analysis to Build a Data-Driven Prediction Model for Water Quality in Paldang Dam (팔당댐 유역의 데이터 기반 수질 예측 모형 구성을 위한 사전 불확실성 분석)

  • Lee, Eun Jeong;Keum, Ho Jun
    • Ecology and Resilient Infrastructure
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    • v.9 no.1
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    • pp.24-35
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    • 2022
  • For water quality management, it is necessary to continuously improve the forecasting by analyzing the past water quality, and a Data-driven model is emerging as an alternative. Because the Data-driven model is built based on a wide range of data, it is essential to apply the correlation analysis method for the combination of input variables to obtain more reliable results. In this study, the Gamma Test was applied as a preceding step to build a faster and more accurate data-driven water quality prediction model. First, a physical-based model (HSPF, EFDC) was operated to produce daily water quality reflecting the complexity of the watershed according to various hydrological conditions for Paldang Dam. The Gamma Test was performed on the water quality at the water quality prediction site (Paldangdam2) and major rivers flowing into the Paldang Dam, and the method of selecting the optimal input data combination was presented through the analysis results (Gamma, Gradient, Standar Error, V-Ratio). As a result of the study, the selection criteria for a more efficient combination of input data that can save time by omitting trial and error when building a data-driven model are presented.

A Study on Applications of Regression Diagnostic Method to Technometrics, and the Statistical Quality Control

  • Kim, Soon-Kwi
    • Journal of Korean Society for Quality Management
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    • v.21 no.1
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    • pp.55-64
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    • 1993
  • This article is concerned with procedures for detecting one or more outliers or influential observations in a linear regression model. A test procedure, based on recursive residuals is proposed and developed The power of the test procedure to identify one or more outliers is investigated through simulation, and its relevance to the number and configuration of the outlier.

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