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With respect to the enterprise, selecting protocols and then broadcasting the selected protocols to system developers accomplishes grid engineering However, grid engineering also entails the development and enforcement of an enterprise information assurance and security strategy Future web service protocols that directly address this topic may simplify this task Grid engineering also includes de ning the service layers that connect enterprise systems to the grid The attributes of a smart grid will not be attained through protocols alone Every system that participates in the enterprise must provide functional capability as structured layers of services Grid engineering can be practiced at one of four levels 1 Unmanaged, Ad Hoc Legacy applications and corresponding business intelligence are integrated into the enterprise locally on the y 2 Encapsulation and Objecti cation Legacy applications are adapted to a process of encapsulation and objecti cation A service-oriented adaptor stack provides the face to the enterprise This stack includes translation and security engines Modeling of information and process steps objecti es data and processes Objecti ed data is maintained locally to the application Con guration management is exerted locally mostly by pplication developers 3 Capture of Business Intelligence Business intelligence is captured in local applications and systems in a comprehensive fashion A local content repository is used to store and manage business intelligence Common local functions, such as troubleshooting and recovery, are selectively exported to the enterprise Con guration management is exercised at the system level by system integrators 4 Externalization of Business Intelligence Business intelligence is captured out of local applications and systems in reference to enterprise level models and forms and exported to an enterprise repository This enables asset mining by enterprise users Through enterprise modeling, all business intelligence is derived from comprehensive uni ed models, resulting in a model-driven architecture Con guration management is exercised at the enterprise level Process Engineering Process engineering is the practice of designing and documenting enterprise processes Done properly, it enables process improvement while maintaining enterprise operations At its most basic level, it involves development of the rules of interaction for the processes that comprise the enterprise and their enforcement These rules of interaction, which apply to processes as well as data, are similar to the business process rules of today, but only apply to process characteristics that impact the execution of other processes within the enterprise Rules that constrain the internal operations of a business process application are excluded from the category of rules of interaction Rules of interaction deal with formality in describing the outcomes of processes, not constraining how they work internally Their purpose is to provide a human and machine interpretable characterization of what the process does so that other process designers can accurately anticipate the result as they design their process. tesseract ocr library pythonJun 6, 2018 · Tesseract library is shipped with a handy command line tool called ... Command line Tesseract tool (tesseract-ocr); Python wrapper for ... ocr sdk python Optical Character Recognition using Python and Google Tesseract ...
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