We investigated whether the temporal structure of movement sequences can be represented and learned independently of their ordinal structure, and whether some brain regions are particularly important for temporal sequence performance. Using a learning transfer design, we found evidence for independent temporal representations: learning a spatiotemporal sequence facilitated learning its temporal...

The notion of variation and determining and eliminating it has become a subject that has found a wide application area after total quality approach has become widespread. There is a variety of control charts used in determining variation. Since the 1920’s, when W.Shewhart developed the first control chart, control charts, which have been examined many times in every aspect, are accepted to be o...

In statistical process control (SPC), the ratio of two normal random variables (RZ) is a valuable indicator to be taken as charting statistic. this work, we propose triple exponentially weighted moving average (TEWMA) chart for monitoring RZ. Additionally, variable sampling interval (VSI) strategy has been adopted different charts by researchers. With application strategy, VSI-TEWMA-RZ then dev...

There have been some advances in multivariate control charts recent years. This paper presents a new simultaneous scheme for monitoring both the mean and variability of normal process single chart, which is developed by improving modifying another recently proposed scheme. We not only propose but also make it adaptive varying all chart parameters. Our scheme, first time, considers two forms: “c...

The principal function of a control chart is to help management distinguish different sources of variation in a process. Control charts are widely used as a graphical tool to monitor a process in order to improve the quality of the product. Chen and Hsieh (2007) have designed a T2 control chart using a Variable Sampling Size and Control limits (V SSC) scheme. They have shown that using the V SSC...

We consider Borel sets of finite rank A C A'" where cardinality of A is less than some uncountable regular cardinal K5. We obtain a "normal form" of A, by finding a Borel set Q, such that A and Q continuously reduce to each other. In more technical terms: we define simple Borel operations which are homomorphic to ordinal sum. to multiplication by a countable ordinal, and to ordinal exponentiati...

C-control chart assumes that process nonconformities follow a Poisson distribution. In actuality, however, this Poisson distribution does not always occur. A process control for semiconductor based on a Poisson distribution always underestimates the true average amount of nonconformities and the process variance. Quality is described more accurately if a compound Poisson process is used for pro...

Control charts are one of the most important tools in statistical process control that lead to improve quality processes and ensure required quality levels. In traditional control charts, all data should be exactly known, whereas there are many quality characteristics that cannot be expressed in numerical scale, such as characteristics for appearance, softness, and color. Fuzzy sets theory is a...

This paper presents the formulations of the expected long-run cost per time unit for a system monitored by a static control chart and by an adaptive control chart respectively. The static chart has a fixed sampling interval and a fixed sample size. The adaptive chart has a fixed sample size but variable sampling intervals. The system is supposed to have three states, normal working state, failu...

Control charts have been used effectively for years to monitor processes and detect abnormal behaviors. However, most control charts require a specific distribution to establish their control limits. The bootstrap method is a nonparametric technique that does not rely on the assumption of a parametric distribution of the observed data. Although the bootstrap technique has been used to develop u...