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CopubliShed by the ieee CS and the aip W e b -B a s e d I n t e r a c t i o n W eb-enabled technologies and applications for control engineering are important research topics for many institutions and companies. This interest in exploring new methods for remote experimentation, diagnostics, and maintenance in engineering stems from two fundamental breakthroughs: the introduction of Internet-enabled supervision mechanisms for industrial and didactical processes to offer competitive access to distant resources, 1-3 and innovative new technologies in curricula and renovated training programs. 4,5 Web-based control environment deployment benefits both end users and developers (process control engineers, teaching staff, and so on). However, developers face extra work when transforming an existing local system into a Webbased environment-they know how to manage hardware and software in a local control system, but new problems arise when making the system accessible via the Internet. In particular, developers must create interactive GUIs for the system that can be deployed via the Internet in the form of a Java applet-the simplest way to integrate interactive user interfaces for remote supervision into Web-based learning-management systems.Labview's virtual instrument (VI) is a graphical programming language specifically designed for developing instrumentation, diagnostics, and data acquisition systems. Many engineering and scientific disciplines, both professional and academic, have adopted Labview, which has resulted in a broad collection of libraries and legacy code, most of them working in local control systems. Publishing a Labview VI on the Internet is a longstanding, click-and-share feature of this software. 6 However, a simple mechanism isn't yet in place to make the VI variables (controls and indicators) accessible from Java applets. This requirement poses an important setback for developers who want to transform existing Labview-based local control systems into Web-based ones.In this article, we present a new approach for quick and simple creation of Web-enabled control environments that use Labview on the local side, Java applets on the remote client side, and TCP/IP

The associative network theory of emotion and memory, outlined by Bower (1981), predicts that depressed mood leads to biases which favour the perception of mood‐congruent information. In this study, a lexical decision task was used to assess the effects of degree of depression and induced elation and depression on lexical decision times for positive and negative words. Subsequently, subjects were given a recall test for the words presented during the lexical decision task. The results partially offered support for perceptual bias. The data showed that in non‐depressed and elation‐induced subjects, decision times were differentially affected by hedonic tone. Words of positive nature were responded to significantly faster than were negative words. In mildly depressed and depression‐induced, decision times were similar for both types of words (positive and negative). These findings are discussed in relation to the associative network model and a growing amount of empirical research on human emotion and cognition.

This paper presents the generalization of the shifting method for relay feedback identification of dynamic systems of any order. The original shifting method enables the fitting of a maximum of five parameters of a transfer function model from the information obtained from a short relay test and without prior knowledge of the process to identify. The generalization, known as n-shifting, allows the estimation of the parameters of transfer functions of any order by applying one short relay test to the process to identify. Without loss of generality, the n-shifting approach is applied to fit an n-order plus time delay (n-OPTD) model but the approach can be also developed to identify models with other structures (non-minimum phase, unstable, integrators). Some examples of estimations are presented.