Intentional forgetting as a facilitator for recalling new product attributes.

When market changes alter what product attributes are deemed important, consumers may intentionally try to forget old product information in an attempt to remember new product information. In Experiment 1, the authors demonstrated that intentional forgetting of this nature temporarily inhibits retrieval of old product information and leads to a benefit to memory for new product information. The results show that, after a short delay, benefits continue in the absence of costs, which is supportive of a multiple-process account of intentional forgetting. Experiment 2 extends these effects using an advertising message to stimulate forgetting. Across both experiments, results also show that brand preference is based on learning of new attribute information. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Leveraging global resources: a process maturity framework for managing distributed development

The popular and well-tested software process frameworks such as the Software Engineering Institute's Capability Maturity Model and ISO 9001, details key process areas for software development. Focusing more on continuous improvement in code development processes, generic-process frameworks such as the CMM lack key process areas (KPA) that address capabilities for managing distributed software projects, such as establishing mutual knowledge and managing geographically dispersed social networks. We identify 24 new KPAs that address the wide-ranging capabilities needed for managing distributed software development and arrange them in an evolutionary order similar to the CMM framework. The evolutionary or phased approach in improving software management capabilities helps firms systematically assess their situations and plan for improvements. We also report the results of a statistically tested maturity assessment survey and test the overall rigor of our model against industry expert opinion and objective data collected from real-world projects implemented at SAP AG, a leading global-enterprise software firm.     

Metal gate-HfO/sub 2/ MOS structures on GaAs substrate with and without Si interlayer

In this letter, we studied the effects of post-deposition anneal (PDA) time and Si interface control layer (ICL) on the electrical characteristics of the MOS capacitor with high-/spl kappa/ (HfO/sub 2/) material on GaAs. Thin equivalent oxide thickness (EOT<3 nm) with excellent capacitance-voltage (C-V) characteristics has been obtained. The thickness of the Si ICL and PDA time were correlated with C-V characteristics. It was found that high temperature Si ICL deposition and longer PDA time at 600/spl deg/C improved the C-V shape, leakage current, and especially frequency dispersion (<5%).     

Modeling Steel Frame Buildings in Three Dimensions. II: Elastofiber Beam Element and Examples

This is the second of two papers describing a procedure for the three-dimensional nonlinear time-history analysis of steel-framed buildings. An overview of the procedure and the theory for the panel zone element and the plastic hinge beam element are presented in part I. In this paper, the theory for an efficient new element for modeling beams and columns in steel frames called the elastofiber element is presented, along with four illustrative examples. The elastofiber beam element is divided into three segments—two end nonlinear segments and an interior elastic segment. The cross sections of the end segments are subdivided into fibers. Associated with each fiber is a nonlinear hysteretic stress-strain law for axial stress and strain. This accounts for coupling of nonlinear material behavior between bending about the major and minor axes of the cross section and axial deformation. Examples presented include large deflection of an elastic cantilever beam, cyclic loading of a cantilever beam, pushover analysis of a 20-story steel moment-frame building to collapse, and strong ground motion analysis of a two-story unsymmetric steel moment-frame building.     

Thermomechanical Framework for the Constitutive Modeling of Asphalt Concrete

This study is concerned with the constitutive modeling of asphalt concrete. Unlike most constitutive models for asphalt concrete that do not take into account the evolution of the microstructure of the material, this study incorporates the evolution of the microstructure by using a framework that recognizes that a body’s natural configurations can evolve as the microstructure changes. The general framework, on which this study is based, is cast within a full thermomechanical setting. In this paper, we develop models within the context of a mechanical framework that stems from the general framework for models based on the full thermodynamic framework and the resulting equations represent a nonlinear rate type viscoelastic model. The creep and stress relaxation experiments of Monismith and Secor are used for validating the efficacy of the model, and it is found that the predictions of the theory agree very well with the available experimental results. The advantages of using such a framework are many, especially when one wants to model the diverse mechanical and thermodynamic response characteristics of asphalt and asphalt concrete.     

A genetic algorithm for the design space exploration of datapaths during high-level synthesis

High-level synthesis is comprised of interdependent tasks such as scheduling, allocation, and module selection. For today's very large-scale integration (VLSI) designs, the cost of solving the combined scheduling, allocation, and module selection problem by exhaustive search is prohibitive. However, to meet design objectives, an extensive design space exploration is often critical to obtaining superior designs. We present a framework for efficient design space exploration during high-level synthesis of datapaths for data-dominated applications. The framework uses a genetic algorithm (GA) to concurrently perform scheduling and allocation with the aim of finding schedules and module combinations that lead to superior designs while considering user-specified latency and area constraints. The GA uses a multichromosome representation to encode datapath schedules and module allocations and efficient heuristics to minimize functional and storage area costs, while minimizing circuit latencies. The framework provides the flexibility to perform resource-constrained scheduling, time-constrained scheduling, or a combination of the two, using a simple and fast list-scheduling technique. A graded penalty function is used as an objective function in evaluating the quality of designs to enable the GA to quickly reach areas of the search space where designs meeting user specified criteria are most likely to be found. Since GAs are population-based search heuristics, a unique feature of our framework is its ability to offer a large number of alternative datapath designs, all of which meet design specifications but differ in module, register, and interconnect configurations. Many experiments on well-known benchmarks show the effectiveness of our approach.     

A Comparative Study of Explicit Frequency and Conventional Signal Representations for Speech Recognition

Krishnan, S., and Rao, P. V. S., A Comparative Study of Explicit Frequency and Conventional Signal Representations for Speech Recognition,Digital Signal Processing6(1996), 249–264.The performance of a speech recognition system depends to a large extent on the signal representation strategy. It is therefore important to evaluate various signal representations, with a view to comparing their relative performance on speech recognition tasks. Various comparative studies have been reported earlier in the literature in this respect. However, these studies are limited to comparing some subsets of representations on different kinds of recognition tasks. In this sense, they preclude a fair comparison of the representations on the same task. In contrast, we attempt here a systematic and fairly comprehensive comparison of signal representations along various dimensions (frequency and amplitude scales, speaker normalization, and two statistical classifiers) on a standard (TIMIT) speech database. This study shows that the line spectrum pair frequency representation augmented with spectral amplitudes yields the best recognition performance.     

Quantum size effect in thin films

When the thickness of a film is of the order of the de Broglie wavelength of the electron, size effects appear in the electrical properties of the material. In this paper we derive the current in the presence of a magnetic field perpendicular to the plane of the film. We use the quantum mechanical density-matrix formalism. Unlike previous works we obtain an exact expression for the current. It is found that the current has a non-linear behavior with the electric field. The current also oscillates with the thickness of the film.     

Curing Studies of Ladder-Like Poly(allylsilsesquioxane) and its copolymers by Differential Scanning Calorimetry

Summary Using stepwise coupling polymerization method, three ladder-like poly(allylsilsesquioxane)s have been synthesized. The prepared ladder-like polymers contain (i) allyl, (ii) allyl and methyl and (iii) allyl and phenyl as side chain groups. They were characterized by FTIR, NMR, WAXD, DSC and TGA. Characterization indicated that they had ladder-like structure. All the polymers were cured by 2,2-dibenzoyl peroxide (1% W/W) and the kinetics for the bulk polymerization of these polysilsesquioxanes was followed by dynamic DSC. The Ozawa and Kissinger methods were used to calculate activation energies for curing of these polysilisesquioxanes. Cured samples were characterized by FTIR, DSC and TGA.