1,723,489 research outputs found
Dr. Satyendra Singh
No full textDr. Satyendra Singh is Director, Centre for Emerging Markets, and Professor, Marketing and International Business in the Faculty of Business and Economics, University of Winnipeg, CANADA. Dr. Singh is also Editor-in-Chief of International Journal of Business and Emerging Markets (www.inderscience.com/ijbem). For more details, please visit www.uwinnipeg.ca/~ssingh5https://www.interscience.in/mentors/1032/thumbnail.jp
Satyendra Nath Bose: his life and times
No full textSatyendra Nath Bose became a legendary figure of science in the 20th century in India with his revolutionary discovery on the nature of radiation. Despite the association with Einstein, however, little is known about him outside of India. This book highlights the remarkable intellect and the extraordinary personality of Bose set against the backdrop of a rich Bengali cultural tradition and British-Indian politics. Unlike other books covering the significance of Bose's discovery, this book describes his diverse scientific contributions to India's scientific community by bringing together selec
AxOMaP: Designing FPGA-based Approximate Arithmetic Operators using Mathematical Programming
Full text linkWith the increasing application of machine learning (ML) algorithms in
embedded systems, there is a rising necessity to design low-cost computer
arithmetic for these resource-constrained systems. As a result, emerging models
of computation, such as approximate and stochastic computing, that leverage the
inherent error-resilience of such algorithms are being actively explored for
implementing ML inference on resource-constrained systems. Approximate
computing (AxC) aims to provide disproportionate gains in the power,
performance, and area (PPA) of an application by allowing some level of
reduction in its behavioral accuracy (BEHAV). Using approximate operators
(AxOs) for computer arithmetic forms one of the more prevalent methods of
implementing AxC. AxOs provide the additional scope for finer granularity of
optimization, compared to only precision scaling of computer arithmetic. To
this end, designing platform-specific and cost-efficient approximate operators
forms an important research goal. Recently, multiple works have reported using
AI/ML-based approaches for synthesizing novel FPGA-based AxOs. However, most of
such works limit usage of AI/ML to designing ML-based surrogate functions used
during iterative optimization processes. To this end, we propose a novel data
analysis-driven mathematical programming-based approach to synthesizing
approximate operators for FPGAs. Specifically, we formulate mixed integer
quadratically constrained programs based on the results of correlation analysis
of the characterization data and use the solutions to enable a more directed
search approach for evolutionary optimization algorithms. Compared to
traditional evolutionary algorithms-based optimization, we report up to 21%
improvement in the hypervolume, for joint optimization of PPA and BEHAV, in the
design of signed 8-bit multipliers.Comment: 23 pages, Under review at ACM TRET
A study of earmould modification effects on the frequency response of body worn hearing aids
No full textA study was made of the influence of different receivers and the effects of variation of ear mould sound bore diameter, length and parallel vents on the frequency response of body worn hearing aids. In order to obtain real ear estimates of the magnitude of the effects, these measurements were made using a modified Zwislocki (IRPIDB-100) ear simulator. The results indicate that while there may be little value in varying the length of the sound bore, diameter variation could be very helpful in the control of the high frequency response of a hearing aid. A wider diameter of the sound bore results in an improved high frequency response, whereas poorer high frequency response is associated with narrower diameters of the sound bore. Parallel venting of ear moulds results in a reduction in the low frequency response of a hearing aid. The length and the diameter of the vent determine the amount of the low frequency cut in the response. The shorter length and the wider diameter of the vent result in a greater amount of low frequency reduction. The effects of parallel venting of ear moulds are independent of the frequency response of the receiver. The study was made using the receivers commonly used with the body worn hearing aids in India. The data of the ear mould modification effects may prove useful in predicting the effects of such work in a clinical situation. However, no subjective assessment of ear mould modification effects were made in this study
perators
No full textThis work is supported by the Deutsche Forschungsgemeinschaft (DFG) under the X-ReAp project (Project number 380524764)
AxOCS: Scaling FPGA-based Approximate Operators using Configuration Supersampling
Full text linkThe rising usage of AI and ML-based processing across application domains has
exacerbated the need for low-cost ML implementation, specifically for
resource-constrained embedded systems. To this end, approximate computing, an
approach that explores the power, performance, area (PPA), and behavioral
accuracy (BEHAV) trade-offs, has emerged as a possible solution for
implementing embedded machine learning. Due to the predominance of MAC
operations in ML, designing platform-specific approximate arithmetic operators
forms one of the major research problems in approximate computing. Recently
there has been a rising usage of AI/ML-based design space exploration
techniques for implementing approximate operators. However, most of these
approaches are limited to using ML-based surrogate functions for predicting the
PPA and BEHAV impact of a set of related design decisions. While this approach
leverages the regression capabilities of ML methods, it does not exploit the
more advanced approaches in ML. To this end, we propose AxOCS, a methodology
for designing approximate arithmetic operators through ML-based supersampling.
Specifically, we present a method to leverage the correlation of PPA and BEHAV
metrics across operators of varying bit-widths for generating larger bit-width
operators. The proposed approach involves traversing the relatively smaller
design space of smaller bit-width operators and employing its associated
Design-PPA-BEHAV relationship to generate initial solutions for
metaheuristics-based optimization for larger operators. The experimental
evaluation of AxOCS for FPGA-optimized approximate operators shows that the
proposed approach significantly improves the quality-resulting hypervolume for
multi-objective optimization-of 8x8 signed approximate multipliers.Comment: 11 pages, under review with IEEE TCAS-
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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