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Maximum likelihood estimator for signal intensity in STEAM-based MR imaging techniques

Stimulated echo acquisition mode (STEAM) is a generic imaging technique that lies at the core of many magnetic resonance imaging (MRI) techniques such MRI tagging, displacement encoded MRI, black-blood cardiac imaging. Nevertheless, tissue deformation causes frequency shift of the MR signal and leads to severe signal attenuation. In this work, a maximum likelihood estimator for the signal

Artificial Intelligence
Healthcare

Labour productivity in building construction: A field study

This paper describes a field study conducted over a period of 11-months on labour productivity observed during the construction of a new university campus in Cairo, Egypt. The campus is being built on 127 acres and the field study was conducted during the construction of two main buildings; each of 20,000 m 2 built up area. The study utilized work sampling (WS), craftsman questionnaire (CQ), and

Energy and Water
Agriculture and Crops
Innovation, Entrepreneurship and Competitiveness

Multi-view human action recognition system employing 2DPCA

A novel algorithm for view-invariant human action recognition is presented. This approach is based on Two-Dimensional Principal Component Analysis (2DPCA) applied directly on the Motion Energy Image (MEI) or the Motion History Image (MHI) in both the spatial domain and the transform domain. This method reduces the computational complexity by a factor of at least 66, achieving the highest

Artificial Intelligence
Healthcare
Software and Communications
Innovation, Entrepreneurship and Competitiveness

Strain-encoded cardiac magnetic resonance during high-dose dobutamine stress testing for the estimation of cardiac outcomes: Comparison to Clinical Parameters and Conventional Wall Motion Readings

Objectives: The purpose of this study was to determine the prognostic value of strain-encoded magnetic resonance imaging (SENC) during high-dose dobutamine stress cardiac magnetic resonance imaging (DS-MRI) compared with conventional wall motion readings. Background: Detection of inducible ischemia by DS-MRI on the basis of assessing cine images is subjective and depends on the experience of the

Artificial Intelligence
Healthcare
Software and Communications
Innovation, Entrepreneurship and Competitiveness

Multiple classifiers for time series classification using adaptive fusion of feature and distance based methods

Time series classification is a supervised learning problem used in many vital applications. Classification of data varying with time is considered an important and challenging pattern recognition task. The temporal aspect and lack of features in time series data makes the learning process different from traditional classification problems. In this paper we propose a multiple classifier system

Software and Communications
Innovation, Entrepreneurship and Competitiveness

Managing technological innovation: Competitive advantage from change, third edition

Written by the author who helped crystalize the field of technology management and the management of innovation with the first two editions of Managing Technological Innovation, this Third Edition brings the subject in line with current business strategy. It also presents information in a newer organized format that aligns more closely with how the topics are presented and discussed in the

Innovation, Entrepreneurship and Competitiveness

Technology and financial innovation

This case study examines the global financial debacle of 2007-2008 to see the roles in which technology played in new financial schemes. It uses theory about social-technical systems and applications of technology to analyze the case. It identifies theoretical issues in which MOT can relate to classical economic theory. © 2011 World Scientific Publishing Company.

Innovation, Entrepreneurship and Competitiveness

Compact lumped element model for TSV in 3D-ICs

A wide-band lumped element model for a through silicon via (TSV) is proposed based on electromagnetic simulations. Closed form expressions for the TSV parasitics based on the dimensional analysis method are introduced. The proposed model enables direct extraction of the TSV resistance, self-inductance, oxide capacitance, and parasitic elements due to the finite substrate resistivity. The model's

Circuit Theory and Applications

Equivalent lumped element models for various n-port through silicon vias networks

This paper proposes an equivalent lumped element model for various multi-TSV arrangements and introduces closed form expressions for the capacitive, resistive, and inductive coupling between those arrangements. The closed form expressions are in terms of physical dimensions and material properties and are driven based on the dimensional analysis method. The model's compactness and compatibility

Circuit Theory and Applications

Towards mature temporal accuracy assessment of processors models and simulators for real-time systems development

Modeling and simulation are becoming extensively used in embedded and Real-Time Systems (RTSs) development throughout the development life-cycle, from the system-level design space exploration to the fine grained time analysis and evaluation of the system and even its components performance. At the core of these systems lies the processor which has been also the center of attention for most of the

Artificial Intelligence
Energy and Water
Software and Communications