Real-Time Management of Resource Allocation Systems focuses on the problem of managing the resource allocation taking place within the operational context of many contemporary technological applications, including flexibly automated production systems, automated railway and/or monorail transportation systems, electronic workflow management systems, and business transaction supporting systems. A distinct trait of all these applications is that they limit the role of the human element to remote high-level supervision, while placing the burden of the real-time monitoring and coordination of the ongoing activity upon a computerized control system. Hence, any applicable control paradigm must address not only the issues of throughput maximization, work-in-process inventory reduction, and delay and cost minimization, that have been the typical concerns for past studies on resource allocation, but it must also guarantee the operational correctness and the behavioral consistency of the underlying automated system. The resulting problem is rather novel for the developers of these systems, since, in the past, many of its facets were left to the jurisdiction of the present human intelligence. It is also complex, due to the high levels of choice - otherwise known as flexibility - inherent in the operation of these environments.
The applications of image-based measurement are many and various: image-guided surgery, mobile-robot navigation, component alignment, part inspection and photogrammetry, among others. In all these applications, landmarks are detected and located in images, and measurements made from those locations. Precision Landmark Location for Machine Vision and Photogrammetry addresses the ubiquitous problem of measurement error associated with determining the location of landmarks in images. With a detailed model of the image formation process and landmark location estimation, the Cramer--Rao Lower Bound (CRLB) theory of statistics is applied to determine the least possible measurement uncertainty in a given situation. This monograph provides the reader with: / the most complete treatment to date of precision landmark location and the engineering aspects of image capture and processing; / detailed theoretical treatment of the CRLB; / a software tool for analyzing the potential performance-specific camera/lens/algorithm configurations; / two novel algorithms which achieve precision very close to the CRLB; / an experimental method for determining the accuracy of landmark location; / downloadable MATLAB(R) package to assist the reader with applying theoretically-derived results to practical engineering configurations. All of this adds up to a treatment that is at once theoretically sound and eminently practical. Precision Landmark Location for Machine Vision and Photogrammetry will be of great interest to computer scientists and engineers working with and/or studying image processing and measurement. It includes cutting-edge theoretical developments and practical tools so it will appeal to research investigators and system designers.
Professional surveyors and many civil engineers must understand the laws of boundaries and the evidence necessary for efficient and accurate boundary determination. This new edition of the preeminent text/reference on the subject is brought completely up to date, with new material on the use of technology in surveying and its legal ramifications, the use of forensic investigative techniques in the discovery of obscured evidence, new case law examples throughout, and new exhibits help illustrate the concepts presented.
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