A number of modern software practices (MSP) have emerged over the last decade in response to the difficulties that have tended to accompany software development efforts. Recent studies of software development groups, however, indicate that these MSP are generally not being used. Since software development is a labor-intensive, cognitive activity whose success is largely determined by individual...

A 2(3) factorial experimental design has been used to quantitatively study individual and interaction effects of the nature of binder (N), binder concentration (c) and relative density of tablet (d) on the disintegration time (DT) and dissolution times, t1, t50 and t90, of paracetamol tablet formulations. The factorial design was also used to study the quantitative effects of pregelatinization ...

The aim of this contribution is to present a special translation of variables, which can be applied to logic-based and mixed-integer programming problems in process synthesis. Our research focused on the development of an alternative convex-hull representation for a logicbased outer-approximation algorithm (OA), implemented in an automated process synthesizer MIPSYN. Three examples were solved ...

In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by some causal structure. This corresponds to a family of graphical models known as the structural equation model with latent variables. While linear non-Gaussian variants have been wellstudied, inference in nonparametri...

There exist many problems regarding process control in the process industry since some of the important variables cannot be measured online. This problem can be significantly solved by estimating these difficult-tomeasure process variables. In doing so, the estimator is in fact an appropriate mathematical model of the process which, based on information about easy-to-measure process variables, ...

The most basic questions that researchers must address when introducing a new process or technique are what is the intended effect of that process and can that effect be demonstrated empirically. As the understanding of a process progresses, researchers become interested in more sophisticated questions about a process or technique, such as studying the relationship between a particular type of ...

We introduce a class of neural networks derived from probabilistic models in the form of Bayesian networks. By imposing additional assumptions about the nature of the probabilistic models represented in the networks, we derive neural networks with standard dynamics that require no training to determine the synaptic weights, that perform accurate calculation of the mean values of the random vari...

In the process industry it is often not known how well a process is operated, and without a good model it is difficult to tell if operation can be further improved. We present a data-based method for finding a combination of measurements which can be used for obtaining an estimate of how well the process is operated, and which can be used in feedback as a controlled variable. To find the variab...