Geo.Engineerings

Ian Walsh ... 766 pages - Publisher: Thomas Telford Publishing (January 15, 2011)
Language: English - ISBN-10: 072774111X - ISBN-13: 978-0727741110

The ICE manual of highway design and management is a one-stop reference for all practicing engineers working in the field of highway engineering. Written and edited by a wide selection of leading specialists, this manual covers each of the key aspects of highway engineering projects - from funding, procurement and transport planning to traffic engineering, materials and design - as well as the management and maintenance of existing highways assets.

Key features of the manual: Over sixty highly illustrated chapters covering all areas of highway engineering + Includes case studies, common problems and practical advice throughout  + Useful references to further reading and websites at the end of each chapter.

Contents: Introduction; Financial, legal and contractual framework Transport Planning; Traffic Engineering; Highway design principles and practice; Highway materials and recycling; Maintenance planning and techniques; Asset Management.

Readership: Part of the ICE manuals series, the ICE manual of highway design and management is an invaluable resource for engineers in design and engineering consultancies, government agencies, research institutes, universities and colleges. Its highly practical approach will guide and train readers towards achieving expertise in all aspects of this important field of engineering.

Xin Li, Jiayong Le, Lawrence T. Pileggi ... 164 pages - Publisher: Now Publishers Inc.; (August 8, 2007)
Language: English - ISBN-10: 1601980566 - ISBN-13: 978-1601980564

Statistical Performance Modeling and Optimization reviews various statistical methodologies that have been recently developed to model, analyze and optimize performance variations at both transistor level and system level in integrated circuit (IC) design. The following topics are discussed in detail: sources of process variations, variation characterization and modeling, Monte Carlo analysis, response surface modeling, statistical timing and leakage analysis, probability distribution extraction, parametric yield estimation and robust IC optimization. These techniques provide the necessary CAD infrastructure that facilitates the bold move from deterministic, corner-based IC design toward statistical and probabilistic design. Statistical Performance Modeling and Optimization reviews and compares different statistical IC analysis and optimization techniques, and analyzes their trade-offs for practical industrial applications. It serves as a valuable reference for researchers, students and CAD practitioners.