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Computer Control and Human Error presents accounts of various incidents at computer-controlled plants. These incidents include equipment and software faults; treating the computer as a "black box"; misjudging the way operators respond to the computer; errors in the data entry; failure to inform operators of changes in data or programs; and unauthorized interference with peripheral equipment. The discussion then turns to the use of hazard and operability studies (Hazops) to prevent or reduce errors in computer-controlled plants. The book describes the conventional Hazop as used in the process industry and an overview of the different Chazop frameworks/guidelines suggested by engineers and researchers. It then presents new Chazop methodology which is based on incident analysis. The final chapter presents reasons for failures in computerized systems, each of which is illustrated with an example. Most of the examples did not cause an actual safety problem, simply because they occurred within systems that are not safety-related. Some of these examples appear in the literature; others are from personal experience or from private communications.
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0134522206 / 9780134522203 Computer Networking: A Top Down Approach Plus Modified MasteringEngineering with Pearson eText -- Access Card Package 7/e
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This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc.
Young men who sexually abuse is a subject of increasing concern amongst professionals. <p> This important volume explores the current theoretical and practice issues involved in working therapeutically with young men who have sexually abused. Linking theory to practice, <b>Andrew Durham</b> provides detailed case studies of young men who have committed varying acts of inappropriate or harmful sexual behaviours, and analyses the therapeutic interventions provided for each. <p> <b>Key features of this accessible guide include:</b> <ul> <li>A clear, practical framework for assessing whether or not a child’s sexual behaviour is a problem. <li>Full assessment schedule for determining the risks and needs of young men who have sexually abused. <li>Discussion of family assessment and support. <li>Guidance for managing difficult foster placements. <li>Advice on deciding when a young person is no longer a risk. </ul> <p> <i>Young Men Who Have Sexually Abused</i> identifies the need for therapeutic interventions to be holistic and reach beyond purely offence-specific work. It will be a valuable resource for practitioners, academics and students in social work, social care, psychology and residential childcare.
Brain-computer interface (BCI) research deals with establishing communication pathways between the brain and external devices where such pathways do not otherwise exist. Throughout the world, such research is surprisingly extensive and expanding. BCI research is rapidly approaching a level of first-generation medical practice for use by individuals whose neural pathways are damaged, and use of BCI technologies is accelerating rapidly in nonmedical arenas of commerce as well, particularly in the gaming, automotive, and robotics industries. The technologies used for BCI purposes are cutting-edge, enabling, and synergistic in many interrelated arenas, including signal processing, neural tissue engineering, multiscale modeling, systems integration, and robotics.This WTEC study gathered information on worldwide status and trends in BCI research to disseminate to government decisionmakers and the research community. The study reviewed and assessed the state of the art in sensor technology, the biotic-abiotic interface and biocompatibility, data analysis and modeling, hardware implementation, systems engineering, functional electrical stimulation, noninvasive communication systems, and cognitive and emotional neuroprostheses in academic research and industry. The study also compared the distinctly different foci, range, and investment levels of BCI research programs in the United States, Canada, China, Europe, and Japan.
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