8 research outputs found
Management Development Through Cultural Diversity
This stimulating, clearly written and well-structured text is a comprehensive introduction to the principles of management and organisational behaviour, as well as a corrective to the eurocentric bias of most management texts. It develops a trans-cultural perspective which draws on insights from across the world to examine different management styles, cultures and stages of business development. Contents include: * Orientation * Primal Management - Western including America * Rational Management - Northern including Scandinavia * Developmental Management - Eastern including Japan * Metaphysical Management - Southern including South Africa * Developing yourself as a manager Each section examines core management theory and literature, cultural orientation and related prominent theories. The numerous case studies use appropriate examples from a wide range of international organisations. The uniquely wide-ranging perspective make this a valuable text for all those interested in general management, international business, organisational behaviour and corporate strategy
Neuromorphic deep convolutional neural network learning systems for FPGA in real time
Deep Learning algorithms have become one of the best approaches for pattern recognition in several fields, including computer vision, speech recognition, natural language processing, and audio recognition, among others. In image vision, convolutional neural networks stand out, due to their relatively simple supervised training and their efficiency extracting features from a scene. Nowadays, there exist several implementations of convolutional neural networks accelerators that manage to perform these networks in real time. However, the number of operations and power consumption of these implementations can be reduced using a different processing paradigm as neuromorphic engineering.
Neuromorphic engineering field studies the behavior of biological and inner systems of the human neural processing with the purpose of design analog, digital or mixed-signal systems to solve problems inspired in how human brain performs complex tasks, replicating the behavior and properties of biological neurons. Neuromorphic engineering tries to give an answer to how our brain is capable to learn and perform complex tasks with high efficiency under the paradigm of spike-based computation.
This thesis explores both frame-based and spike-based processing paradigms for the development of hardware architectures for visual pattern recognition based on convolutional neural networks. In this work, two FPGA implementations of convolutional neural networks accelerator architectures for frame-based using OpenCL and SoC technologies are presented. Followed by a novel neuromorphic convolution processor for spike-based processing paradigm, which implements the same behaviour of leaky integrate-and-fire neuron model. Furthermore, it reads the data in rows being able to perform multiple layers in the same chip. Finally, a novel FPGA implementation of Hierarchy of Time Surfaces algorithm and a new memory model for spike-based systems are proposed
Sub-femtomolar Isothermal Desoprtion and Reaction Kinetics on Microhotplate Sensor Platforms
The population of adsorbates on a semiconductor surface directly influences the physical and chemical properties of the semiconductor. In the case of a metal-oxide semiconductor, the adsorbing species can change its electrical conductivity, a phenomenon which forms the operating principle of gas sensors. The interaction of adsorbed oxygen species on a metaloxide surface with reducing or oxidizing gases leads to an increase or decrease in electrical conductivity respectively. Miniature gas sensors called microhotplates (developed at the National Institute of Standards and Technology) are excellent surface science tools to explore surface reactions on semiconducting metal-oxide films. This thesis outlines how the desorption kinetics may be modeled in situations where the effects of finite heating rate, and system pumping rate are intertwined with the desorption rate, and how it is possible to estimate these time constants from isothermal desorption of sub-femtomolar coverages. Benzoic acid on reduced SnO2 was used as a model system to demonstrate the technique. It was observed to adsorb at coverages below 0.005 monolayers with an activation energy for desorption of 97 kJ/mol. The uptake, reaction pathways, and desorption kinetics of 2-propanol on TiO2 and SnO2 films were studied to demonstrate new microhotplate-based techniques to probe the fundamental surface processes that lead to electrical conductivity changes in chemiresistive gas sensors. Uptake and pulsed desorption measurements showed that reproducible coverages of 2-propanol could be prepared during low temperature adsorption, while interlaced, mass-resolved desorption pulses quantified indications of conversion to propene on oxidized TiO2 and SnO2 that correlate with conductivity changes. Fractional isothermal desorption data for 2-propanol on the oxidized TiO2 film suggest that the surface is energetically heterogeneous. A Monte Carlo model gives an average binding energy of 102 kJ/mol with a standard deviation of 15.7 kJ/mol, assuming diffusion is negligible on the timescale of the microhotplate’s heating pulse. The technique can thus show how a microsensor platform can provide a better understanding of the principles of sensor operation by determining, from sub-femtomolar quantities of adsorbates on a single microsensor, coverage, pumping speed, desorption rate, and reactivity of surface interactions and their effect on the sensing film conductivity
1999-2000 Louisiana Tech University Catalog
The Louisiana Tech University Catalog includes announcements and course descriptions for courses offered at Louisiana Tech University for the academic year of 1999-2000.https://digitalcommons.latech.edu/university-catalogs/1015/thumbnail.jp
Management Development Through Cultural Diversity
This stimulating, clearly written and well-structured text is a comprehensive introduction to the principles of management and organisational behaviour, as well as a corrective to the eurocentric bias of most management texts. It develops a trans-cultural perspective which draws on insights from across the world to examine different management styles, cultures and stages of business development. Contents include: * Orientation * Primal Management - Western including America * Rational Management - Northern including Scandinavia * Developmental Management - Eastern including Japan * Metaphysical Management - Southern including South Africa * Developing yourself as a manager Each section examines core management theory and literature, cultural orientation and related prominent theories. The numerous case studies use appropriate examples from a wide range of international organisations. The uniquely wide-ranging perspective make this a valuable text for all those interested in general management, international business, organisational behaviour and corporate strategy
Software Engineering Laboratory Series: Proceedings of the Twentieth Annual Software Engineering Workshop
The Software Engineering Laboratory (SEL) is an organization sponsored by NASA/GSFC and created to investigate the effectiveness of software engineering technologies when applied to the development of application software. The activities, findings, and recommendations of the SEL are recorded in the Software Engineering Laboratory Series, a continuing series of reports that includes this document