• Title/Summary/Keyword: Regression testing

Search Result 707, Processing Time 0.027 seconds

Policy and Managerial Issues of Voice over Internet Protocol(VoIP) (인터넷전화의 정책 및 경영이슈측면에서의 이용자분석)

  • Kim, Ji-Hee;Sung, Yoon-Young;Kweon, O-Sang;Kim, Jin-Ki
    • Journal of Information Technology Applications and Management
    • /
    • v.14 no.4
    • /
    • pp.221-233
    • /
    • 2007
  • Which factors should influence consumer consideration to subscribe to Voice over Internet Protocol (VoIP)? Policy issues, managerial concerns, and demographic variables are possible factors. This paper discusses policy and managerial issues regarding VoIP adoption. A model that explains VoIP adoption is proposed and tested. This study analyzes a survey of 750 prospective VoIP users in Korea. The testing is accompanied by logistic regression and discriminant analysis. The results show that trust in VoIP, relative comparison of Quality to fixed service, numbering plan, satisfactions of call Quality and customer services on both fixed and mobile services have impacts on the adoption of VoIP. Implications for VoIP providers and policy makers are presented.

  • PDF

Time Dependent Extension and Failure Analysis of Structural Adhesive Assemblies Under Static Load Conditions

  • Young, Patrick H.;Miller, Zachary K.;Gwasdacus, Jeffrey M.
    • Journal of Adhesion and Interface
    • /
    • v.21 no.1
    • /
    • pp.6-13
    • /
    • 2020
  • The objective of the current study is to characterize the long-term stability and efficacy of a structural adhesive assembly under static load. An apparatus was designed to be used in the Instron tensile test machine that would allow for real time modeling of the failure characteristics of an assembly utilizing a moisture- cure adhesive which was bonded to concrete. A regression model was developed that followed a linear - natural log function which was used to predict the expected life of the assembly. Evaluations at different curing times confirmed the structure was more robust with longer cure durations prior to loading. Finally, the results show that under the conditions the assembly was tested, there was only a small amount of inelastic creep and the regression models demonstrated the potential for a stable structure lasting several decades.

Information Retrieval Tools as Predictors for Information Resources Utilization in Academic Libraries in Nigeria

  • David-West, Boma Torukwein
    • International Journal of Knowledge Content Development & Technology
    • /
    • v.10 no.3
    • /
    • pp.21-31
    • /
    • 2020
  • The study examined information retrieval tools as predictors for information resources utilization, four research questions, and four hypotheses were made to guide the study. A descriptive survey was adopted for the study. Random sampling technique was used to select sample of 393 from a population of 557 academic staff registered in the University of Port Harcourt library. The questionnaire was adopted as a data collection instrument titled Information retrieval as predictors for information resources utilization (IRPIRUQ). Data were analyzed using both simple and multiple regression while analysis of variance (ANOVA) associate with regression was used for testing the hypotheses at 0.05 alpha level. The study revealed that information resources are under utilized as the OPAC and Online Databases are not easily accessed. Further findings showed that the academic staff made use of internet search engines more often than the OPAC and online databases. It was recommended among others that a new library software be installed in place of KOHA for wider connectivity and adequate distribution of software that will aid usage of the online databases and OPAC.

Accident Models of Circular Intersections by Weather Condition in Korea (기상상태에 따른 국내 원형교차로 사고모형)

  • Park, Byung Ho;Han, Su San
    • Journal of the Korean Society of Safety
    • /
    • v.27 no.6
    • /
    • pp.178-184
    • /
    • 2012
  • This study deals with the traffic accidents by weather condition. The objectives are to comparatively analyze the characteristics, and to develop the models of traffic accidents by weather condition. In pursuing the above, this paper gives particular attentions to testing the differences between two groups, and developing the models(Poisson and negative binomial regression) using the data of domestic circular intersections. The main results are as follows. First, three Poisson models and one negative binomial models which were all statistically significant were developed using the number of accident and EPDO by the clear weather and other as the dependant variables. Second, the differences between two models were comparatively analyzed using the chosen variables. This paper might be expected to give some implications to traffic safety policy-making to reduce and prevent the traffic accidents in circular intersections.

Assessing Sea Surface Temperature in the Yellow Sea Using Satellite Remote Sensing Data

  • Lee, Kyoo-seock;Kang, Hee-Sook
    • Korean Journal of Remote Sensing
    • /
    • v.6 no.1
    • /
    • pp.39-47
    • /
    • 1990
  • The first Marine Observation Satellite(MOS) was launched by National Space Development Agency of Japan on February 19, 1987, and it is equipped with three sensons covering visible, infrared, and microwave region. One of them is Visible and Thermal Infrared Radiometer(VTIR) whose main objective is to detect the Sea Surface Temperature(SST). The objective of this study was to process the MOS data using Cray-2 supercomputer, and to assess the SST in the Yellow Sea. In order to implement this objective, the linear regression model between the ground truth data and the corresponding digital number of VTIR in MOS was used to establish the relationship. After testing the significance of the regression model, the SST map of the whole Yellow Sea was derived based on the model. The digital SST map representing the study area showed certain pattern about the SST of Yellow Sea in March and April. In conclusion, the VTIR data in MOS is also useful in investigating SST which provides the information about the Yellow Sea water current in the spring.

Offline Shopping During the COVID-19 Pandemic: Between Need and Fear

  • USMAN, Hardius;PROJO, Nucke Widowati Kusumo;CHAIRY, Chairy
    • Fourth Industrial Review
    • /
    • v.2 no.2
    • /
    • pp.25-37
    • /
    • 2022
  • Purpose - The purposes of this research are: (1) Building and testing a research model that integrates Theory of Reasoned Action (TRA) with fear, perceived risk, and health protocols; (2) Examining the impact of compliance with health protocols on consumer behavior when offline shopping. Research design, data, and methodology - The data collection uses the self-administered survey method, and the questionnaire is distributed online. A total of 504 Indonesian population aged 18 years old or more participate in this research. Data are analyzed using factor analysis, multiple regression, and multiple regression with interaction. Result - This study reveals several findings: (1) Attitude and subjective norm have a significant effect on offline shopping behavior; (2) fear has a direct and indirect effect on offline shopping behavior; (3) the effect of perceived risk on the intensity of offline shopping is determined by compliance with health protocols. Conclusion - This paper discusses the direct influence of attitudes and subjective norms on behavior. This research also integrates fear, perceived risk, and health protocol factors in TRA, which may not have been done much, especially in the COVID-19 pandemic context.

Locally weighted linear regression prefetching method for hybrid memory system (하이브리드 메모리 시스템의 지역 가중 선형회귀 프리페치 방법)

  • Tang, Qian;Kim, Jeong-Geun;Kim, Shin-Dug
    • Annual Conference of KIPS
    • /
    • 2020.11a
    • /
    • pp.12-15
    • /
    • 2020
  • Data access characteristics can directly affect the efficiency of the system execution. This research is to design an accurate predictor by using historical memory access information, where highly accessible data can be migrated from low-speed storage (SSD/HHD) to high-speed memory (Memory/CPU Cache) in advance, thereby reducing data access latency and further improving overall performance. For this goal, we design a locally weighted linear regression prefetch scheme to cope with irregular access patterns in large graph processing applications for a DARM-PCM hybrid memory structure. By analyzing the testing result, the appropriate structural parameters can be selected, which greatly improves the cache prefetching performance, resulting in overall performance improvement.

A study on development of CRM chrysotile in soil (토양 중 백석면 표준물질 개발에 관한 연구)

  • Choi, Yun-Ho;Kwon, Ye-Bin;Lee, Jin-Wook;Kim, Nam-Jun;Jeong, Min-Jong;Hwang, Beom-Goo;Lee, Jae-Hyung;Sun, Yle-Shik;Kim, Bak-Gil
    • Analytical Science and Technology
    • /
    • v.26 no.1
    • /
    • pp.91-98
    • /
    • 2013
  • Interested in NOA (Naturally Occurring Asbestos), Korea as well as the USA has been making geologic maps of asbestos distributed mines and surrounding areas, restoring mines, evaluating hazard, and so on. The result can be used to improve the reliability of analysts and analysis institutions by judging the amount of asbestos and set up PLM(Polarizing Light Microscope) information by analyzing in soil. The certification value of 2 kinds of CRM(Certified Reference Material) was performed by counting total 400 points with EPA 600-R-93-116 method using by PLM. The following is the result of homogeneity and stability of 2 kinds of manufactured CRM analyzed by ANOVA (Analysis of variance) and Regression Analysis. Based on the analyzation, the results are satisfied with homogeneity and long-term stability. The analyzed certification value of CRM includes the range of minimum and maximum value of point counting result for chrysotile; low concentration-1% (range, 0.25~3.00), high concentration-4% (range, 2.25~5.50).

On Testing the First-order Autocorrelation of the Error Term in a Regression Model via Multiple Bayes Factor (다중 베이즈요인에 의한 회귀모형 오차항의 자기상관 검정)

  • 한성실;김혜중
    • The Korean Journal of Applied Statistics
    • /
    • v.12 no.2
    • /
    • pp.605-619
    • /
    • 1999
  • 본 논문은 회귀분석에서 오차항의 1차 자기상관 존재 여부 및 그 값을 검정하는 방법을 베이지안 접근법으로 제안하였다. 이 방법은 모수공간의 다중분할로 인해 얻어진 여러 가설들에 대한 다중결정문제를 다중 베이즈요인에 관한 이론과 일반화 Savage-Dickey 밀도비를 이용한 사후확률 추정법을 합성하여 개발되었다. 이 방법은 기존의 검정법들에서 가능한 검정 뿐 아니라 이들이 해결할 수 없는 자기상관에 대한 다중결정문제에도 사용이 가능한데 그 효용성이 있다. 모의실험을 통하여 제안된 검정법의 유효성을 평가하였다.

  • PDF

On a Nonparametric Test for Parallelism against Ordered Alternatives

  • Song, Moon Sup;Kim, Jaehee;Jean, Jong Woo;Park, Changsoon
    • Journal of Korean Society for Quality Management
    • /
    • v.17 no.2
    • /
    • pp.70-80
    • /
    • 1989
  • A nonparametric test for testing the parallelism of regression lines against ordered alternatives is proposed. The proposed test statistic is based on a linear combination of robust slope estimators. It is a modified version of the Adichie's test statistics based on scores. A snail-sample Monte Carlo study shows that the proposed test is compatible with the Adichie's test.

  • PDF