In this paper, one of the most important criterion in public services quality named availability is evaluated by using artificial neural network (ANN). In addition, the availability values are predicted for future periods by using exponential weighted moving average (EWMA) scheme and some time series models (TSM) including autoregressive (AR), moving average (MA) and autoregressive moving avera...

In many computer vision applications, segmenting and extraction of moving objects in video sequences is an essential task. Background subtraction, by which each input image is subtracted from the reference image, has often been used for this purpose. In this paper, we offer a novel background-subtraction technique for real-time dynamic background generation using color images that are taken fro...

Abstract The objective of this research is to study numerical integral equation method (NIE) using five quadrature rules namely, composite midpoint rule, trapezoidal Simpson’s Boole’s rule and Gauss-Legendre for approximating the average run length on extended exponentially weighted moving (extended EWMA) control chart autoregressive process with explanatory variables when white noise follows a...

This article demonstrates how a three-parameter logarithmic transformation combined with an exponentially weighted moving average (EWMA) approach can be used to monitor the sample variance of a process. The computation of the parameters of the logarithmic transformation and the control limits are explained. An easy-to-use table is provided and an illustrative example is given. The performance o...

We propose an approach for real-time sentiment-based anomaly detection (RSAD) in Twitter data streams. Sentiment classification is used to split the data into independent streams (positive, neutral, and negative), which are then analyzed for anomalous spikes in the number of tweets. Four approaches for evaluating the data streams are studied, along with the parameters that adjust their sensitiv...

In the semiconductor manufacturing batch processes, each step is a complicated physicochemical batch process; generally it is difficult to perform measurements on-line. The effect of the metrology delay on the stability of the system is an important issue needs to be understood. This paper investigates the stability of systems under exponentially weighted moving average (EWMA) runto-run control...

This paper presents a new traffic rate estimation method for the QoS-enabled Internet, employing a flip-flop filter that measures actual changes in the characteristics of a traffic flow in a timely and accurate manner (i.e., it is agile), while ignoring short term variations or spikes in the traffic flow (i.e., it is stable). The proposed algorithm is compared with the familiar exponentially we...

In this work, both the cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control charts have been reconfigured to monitor processes using a Bayesian approach. Our construction of these are informed by posterior predictive distributions found three loss functions: squared error, precautionary, linex. We use on count data, performing simulation study assess chart performance...

The use of complex self tuning Proportional, Integral and Derivative (PID) controller, to drive the speed and direction in mini robot, is limited by calculus power and by the precision and noise of the on board input sensors, particularly severe problems arise in computing the derivative term. In this work a PID whose terms are computed from filtered input with a simple recursive Exponentially ...

The basic purpose of the economic design of the control charts is to find the optimum control charts parameters to minimize the process cost. In this paper, an R package, edcc (economic design of control charts), which provides a numerical method to find the optimum chart parameters is presented using the unified approach of the economic design. Also, some examples are given to illustrate how t...