Change-point (CP) regression models have been widely applied in various fields, where detecting CPs is an important problem. Detecting the location of could be equivalent to partitioning data points into clusters similar individuals. In literature, fuzzy clustering has but it less used locating CP models. this paper, a new method, called (FCP) algorithm, proposed detect and simultaneously estimate parameters The c -partitions concept first embedded Any possible collection all considered as...

In this paper, a vision system for monitoring driver's vigilance is presented. The level of determined by integrating number facial parameters. order to estimate these parameters, the features eyes, mouth and head are first located in input video sequence. then tracked over subsequent images. Facial parameters estimated during feature tracking. parametric values collected analyzed every fixed time interval provide real-time driver. A series experiments on real sequences were demonstrated...

Two problems concerning detecting change-points in linear regression models are considered. One involves discontinuous jumps a model and the other lines connected at unknown places. Significant literature has been developed for estimating piecewise because of their broad range applications. The segmented (SEG) method with an R package employed by many researchers since it is easy to use, converges fast, produces sufficient estimates. SEG allows multiple but restricted continuous models. Such...

To assess the efficacy of hydrodistention (HD) followed by bladder training (BT) versus HD alone in patients with interstitial cystitis (IC). A total 70 IC were included and randomly assigned to two groups: one treated (HD group) other plus BT group). Each patient was up using a weekly diary for 8 weeks after monthly thereafter 6 months HD. Evaluation parameters age, duration years, how many doctors visited before treatment, urgency, pain, daytime voided volume per void, nocturnal voids day,...

To assess the associated risk factors for daytime urinary frequency among Taiwanese women aged = 60 years.Daytime frequency, defined by International Continence Society, and its problems were evaluated, medical history sociodemographic variables recorded. A total of 2,410 selected a multistage random sampling method. The assessed Pearson's ?2 test using significance level < 0.05.A 621 those initially in study died before completion this study. Face-to-face interviews with 1,521 completed,...

To investigate the effect of hysterectomy on urinary incontinence (UI) in Taiwanese women aged 60 or older.A nationwide epidemiologic study was conducted and a total 2410 were selected by multistage random sampling method. Face-to-face interviews with 1517 completed. The prevalence UI hysterectomy, route medical reasons for years after assessed frequency Pearson's χ(2) test using significance level less than 0.05.The older 8.83% (134/1,517). Hysterectomy is risk factor (p=0.003) estimated to...

We present a vision-based traffic measurement system. The system automatically counts the vehicles passing through designated segment of roadway and measures their speeds. Based on obtained number speeds, variety parameters are readily calculated. A experiments with video sequences taken under different weather, illumination conditions have been conducted. results revealed that proposed could perform well conditions.

Regression models with change-points have been widely applied in various fields. Most methodologies for change-point regressions assume Gaussian errors. For many real data having longer-than-normal tails or atypical observations, the use of normal errors may unduly affect fit regression models. This paper proposes two robust algorithms called EMT and FCT by incorporating t-distribution expectation maximization algorithm fuzzy classification procedure, respectively. better resistance to high...

To evaluate the risk factors for daytime urinary frequency in Taiwanese women aged 20-59 years.In 1998, there were about 5.9 million female residents 29-59 years Taiwan. A random sample of 4,549 within this age group was chosen by multistage sampling. Face-to-face interviews with 3,537 completed well-trained professional interviewers 3 months subjects being selected. Answers to questions lower tract symptoms, sociodemography and past histories recorded. The assessed analysis logistic...

To evaluate the prevalence of daytime urinary frequency among Taiwanese women aged 20-59 years. In 1998, there were an estimated 5.9 million female residents years in Taiwan. A random sample 4,549 was chosen by multistage sampling. Face-to-face visits with 3,537 completed trained professional interviewers within 3 months subjects' selection. Questions about lower tract symptoms, sociodemographics, reproduction, and medical surgical histories recorded. The factors assessed logistic regression...

This paper presents a robust method for dealing with switching regression problems. Regression models switch-points are broadly employed in diverse areas. Many traditional methods regressions can falter the presence of outliers or heavy-tailed distributions because modeling assumptions Gaussian errors. The outlier corruption datasets is often unavoidable. When misapplied, assumption lead to incorrect inference making. Laplace distribution known as longer-tailed alternative normal and...

To evaluate the prevalence of daytime urinary frequency among Taiwanese women aged 60 years and older. There were an estimated 1.25 million female residents over in Taiwan 2000. A sample 2,410 was selected using a multistage random sampling method. Face- to-face visits with 1,523 completed by trained professional interviewers within 3 months subjects' selection. Questions about other lower tract symptoms, sociodemo-graphics, reproduction, medical surgical histories recorded. The factors...

The purpose of this system is to reduce the rate dangerous events caused by various driving factors. We compose a relational map as inputs factors driver behavior, nearby vehicles and roadway factors, then put into matching process with maps. If similarity between one maps high, event may occur. At time will warn watch out for event. Along learning based on case-base reasoning, become flawless danger prediction system.

Regression problems with switching-points arise in many fields and has been recognized as a challenging issue for modern, big data applications. Many approaches to estimating switching regression models can only deal continuous switching-point problem successfully. However, jump discontinuities are often encountered reality such those econometrics engineering. This article presents segmentation method estimations, allowing detecting both discontinuous switching-points. We consider using...

The second-order moments of the joint distribution sample semivariogram are derived, assuming an underlying intrinsically stationary, Gaussian, one-dimensional random field. In addition, asymptotic covariance structure is derived under a certain regime. results specialized to three important cases: (1) pure nugget effect model; (2) linear and (3) whose sill equal process variance attained at finite distance. first case corresponds white noise process, second Wiener (possibly plus independent...

In the analysis of survival data, problems competing risks arise frequently in medical applications where individuals fail from multiple causes. Semiparametric mixture regression models have become a prominent approach due to their flexibility and easy interpretation resultant estimates. The literature presents several semiparametric methods on estimations for Cox proportional hazards models, but fewer works appear determination number model components estimation baseline hazard functions...

This article presents a robust fuzzy procedure for estimating change-point regression models. We propose incorporating the algorithm with M-estimation technique estimations. The c partitions concept is embedded into model so c-regressions and c-means clustering can be employed to obtain estimates of change-points parameters. M estimation criterion used make estimators presence outliers heavy-tailed distributions. create two algorithms named FCH FCT by using Huber’s Tukey’s functions as...