This easy-to-understand introduction to SAP S/4HANA guides you through the central processes in sales, purchasing and procurement, finance, production, and warehouse management using the model company Global Bike. Familiarize yourself with the basics of business administration, the relevant organizational data, master data, and transactional data, as well as a selection of core business processes in SAP. Using practical examples and tutorials, you will soon become an SAP S/4HANA professional! Tutorials and exercises for beginners, advanced users, and experts make it easy for you to practice your new knowledge. The prerequisite for this book is access to an SAP S/4HANA client with Global Bike version 4.1. - Business fundamentals and processes in the SAP system - Sales, purchasing and procurement, production, finance, and warehouse management - Tutorials at different qualification levels, exercises, and recap of case studies - Includes extensive download material for students, lecturers, and professors
Inhaltsangabe:Abstract: Two evolutionary approaches of allocating tasks onto a Field-Programmable Gate Array (FPGA) are presented. Offline task arrangement: whenever a set of tasks has to be arranged onto an FPGA in practice, one is interested in arranging a maximum number of tasks which efficiently utilize the FPGA area. A genetic algorithm is proposed searching for an arrangement of tasks offline, i.e. before the tasks are physically placed onto the FPGA. Online task arrangement: FPGAs that allow partial reconfiguration at run-time can be shared among multiple independent tasks. When the sequence of tasks to be performed is unpredictable the FPGA controller needs to make allocation decisions online. Since online allocation suffers from fragmentation, tasks can end up waiting despite there being sufficient, albeit non-contiguous resources available to service them. The time to complete tasks is consequently longer and the utilization of the FPGA is lower than it could be. A genetic algorithm is proposed rearranging a subset of the tasks executing on the FPGA when doing so allows the next pending task to be processed sooner. In comparison with other heuristic approaches a genetic algorithm is described and evaluated which overcomes the NP-hard problems of identifying feasible rearrangements and scheduling the rearrangements when moving tasks are reloaded from off-chip. Inhaltsverzeichnis:Table of Contents: 1.Introduction7 2.Field Programmable Gate Arrays9 2.1Architecture of FPGAs9 2.2Dynamically Reconfigurable FPGAs10 2.3Comparison with Related Devices11 2.4Creation of an FPGA Model11 3.FPGA Task Arrangement Problem18 3.1Static Task Arrangement Problem18 3.1.1Static Task Management18 3.1.2Problem Formulation20 3.2Dynamic Task Arrangement Problem21 3.2.1Dynamic Task Management21 3.2.2Search for an Admissible Task Rearrangement22 3.2.3Rearrangement Scheduling24 3.2.4Buffer Restriction27 3.2.5Problem Formulation30 4.Arrangement Concepts31 4.1Shape Functions31 4.2Slicing Trees35 5.Genetic Algorithms41 5.1Introduction41 5.2The Functioning of Genetic Algorithms 43 5.3Main Components of Genetic Algorithms45 5.3.1Representation45 5.3.2Initialization46 5.3.3Evaluation47 5.3.4Stopping Condition47 5.3.5Reproduction47 5.3.6Selection48 5.3.7Genetic Operators49 6.Static Task Arrangement51 6.1Representation51 6.2Initialization52 6.2.1Random Pairing53 6.2.2Traversal of Flexible Slicing Trees53 6.3Evaluation56 6.4Genetic [...]
This easy-to-understand introduction to SAP S/4HANA guides you through the central processes in sales, purchasing and procurement, finance, production, and warehouse management using the model company Global Bike. Familiarize yourself with the basics of business administration, the relevant organizational data, master data, and transactional data, as well as a selection of core business processes in SAP. Using practical examples and tutorials, you will soon become an SAP S/4HANA professional! Tutorials and exercises for beginners, advanced users, and experts make it easy for you to practice your new knowledge. The prerequisite for this book is access to an SAP S/4HANA client with Global Bike version 4.1. - Business fundamentals and processes in the SAP system - Sales, purchasing and procurement, production, finance, and warehouse management - Tutorials at different qualification levels, exercises, and recap of case studies - Includes extensive download material for students, lecturers, and professors
Inhaltsangabe:Abstract: Two evolutionary approaches of allocating tasks onto a Field-Programmable Gate Array (FPGA) are presented. Offline task arrangement: whenever a set of tasks has to be arranged onto an FPGA in practice, one is interested in arranging a maximum number of tasks which efficiently utilize the FPGA area. A genetic algorithm is proposed searching for an arrangement of tasks offline, i.e. before the tasks are physically placed onto the FPGA. Online task arrangement: FPGAs that allow partial reconfiguration at run-time can be shared among multiple independent tasks. When the sequence of tasks to be performed is unpredictable the FPGA controller needs to make allocation decisions online. Since online allocation suffers from fragmentation, tasks can end up waiting despite there being sufficient, albeit non-contiguous resources available to service them. The time to complete tasks is consequently longer and the utilization of the FPGA is lower than it could be. A genetic algorithm is proposed rearranging a subset of the tasks executing on the FPGA when doing so allows the next pending task to be processed sooner. In comparison with other heuristic approaches a genetic algorithm is described and evaluated which overcomes the NP-hard problems of identifying feasible rearrangements and scheduling the rearrangements when moving tasks are reloaded from off-chip. Inhaltsverzeichnis:Table of Contents: 1.Introduction7 2.Field Programmable Gate Arrays9 2.1Architecture of FPGAs9 2.2Dynamically Reconfigurable FPGAs10 2.3Comparison with Related Devices11 2.4Creation of an FPGA Model11 3.FPGA Task Arrangement Problem18 3.1Static Task Arrangement Problem18 3.1.1Static Task Management18 3.1.2Problem Formulation20 3.2Dynamic Task Arrangement Problem21 3.2.1Dynamic Task Management21 3.2.2Search for an Admissible Task Rearrangement22 3.2.3Rearrangement Scheduling24 3.2.4Buffer Restriction27 3.2.5Problem Formulation30 4.Arrangement Concepts31 4.1Shape Functions31 4.2Slicing Trees35 5.Genetic Algorithms41 5.1Introduction41 5.2The Functioning of Genetic Algorithms 43 5.3Main Components of Genetic Algorithms45 5.3.1Representation45 5.3.2Initialization46 5.3.3Evaluation47 5.3.4Stopping Condition47 5.3.5Reproduction47 5.3.6Selection48 5.3.7Genetic Operators49 6.Static Task Arrangement51 6.1Representation51 6.2Initialization52 6.2.1Random Pairing53 6.2.2Traversal of Flexible Slicing Trees53 6.3Evaluation56 6.4Genetic [...]
This long-established and well-received monograph offers an integral view of image processing - from image acquisition to the extraction of the data of interest – written by a physical scientists for other scientists. Supplements discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. Completely revised and extended, the most notable extensions being a detailed discussion on random variables and fields, 3-D imaging techniques and a unified approach to regularized parameter estimation. Complete text of the book is now available on the accompanying CD-ROM. It is hyperlinked so that it can be used in a very flexible way. CD-ROM contains a full set of exercises to all topics covered by this book and a runtime version of the image processing software heurisko. A large collection of images, image sequences, and volumetric images is available for practice exercises
Image processing is fast becoming a valuable tool for analyzing multidimensional data in all areas of natural science. Since the publication of the best-selling first edition of this handbook, the field of image processing has matured in many of its aspects from ad hoc, empirical approaches to a sound science based on established mathematical and p
Errors are information. In contrastive linguistics, they are thought to be caused by unconscious transfer of mother tongue structures to the system of the target language and give information about both systems. In the interlanguage hypothesis of second language acquisition, errors are indicative of the different intermediate learning levels and are useful pedagogical feedback. In both cases error analysis is an essential methodological tool for diagnosis and evaluation of the language acquisition process. Errors, too, give information in psychoanalysis (e.g., the Freudian slip), in language universal research, and in other fields of linguistics, such as linguistic change.This bibliography is intended to stimulate study into cross-language, cross-discipline and cross-theoretical, as well as for language universal, use of the numerous, but sometimes hard to come by, error analysis studies. 5398 titles covering the period 1578 up to 1990 (with work in more than 144 languages and language families) are cited, cross-referenced, and described. The subject areas covered are numerous. For example: Theoretical Linguistics (Linguistic Typology, Cognitive Linguistics), Historical Linguistics (Language Change), Applied Linguistics (e.g. Speech Disorders), Translation, Mother Tongue Acquisition, Foreign Language Learning (Negative Transfer, Intralingual and Interlingual Errors), Psychoanalysis (Slips of the Tongue), Typography, Shorthand, Clinical Linguistics and Speech Pathology, Reading Research, Automatic Error Detection, Contact Linguistics (Code-switching, Interference), etc.
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