scholarly journals Software tools and techniques for fog and edge computing

2020 ◽  
Vol 50 (5) ◽  
pp. 473-475
Author(s):  
Rajiv Ranjan ◽  
Massimo Villari ◽  
Haiying Shen ◽  
Omer Rana ◽  
Rajkumar Buyya
Keyword(s):  
Software Tools ◽  
Edge Computing ◽  
Tools And Techniques

A note on software tools and techniques for monitoring and prediction of cloud services

2014 ◽  
Vol 44 (7) ◽  
pp. 771-775 ◽  
Author(s):  
Rajiv Ranjan ◽  
Rajkumar Buyya ◽  
Philipp Leitner ◽  
Armin Haller ◽  
Stefan Tai
Keyword(s):  
Software Tools ◽  
Cloud Services ◽  
Tools And Techniques

Integration of Modern Software Tools for Production Design

2006 ◽  
Author(s):  
Devdas Shetty ◽  
Tom Eppes ◽  
Lifeng Chao ◽  
Claudio Campana
Keyword(s):  
Life Cycle ◽  
Product Design ◽  
Product Life Cycle ◽  
Software Tools ◽  
Assembly Design ◽  
Design And Manufacturing ◽  
Motion Paths ◽  
Comprehensive Manner ◽  
Tools And Techniques ◽  
Efficient Manufacturing

Engineers, irrespective of their disciplines, need effective tools to comprehensively design, model, synthesize and analyze the design a product. This is often closely followed by the need to fabricate a working prototype. Engineers need useful methodologies and tools that can be used in preparation for manufacturing. These tools need to effectively analyze assembly & disassembly since a good assembly design makes a product les expensive to service, repair and maintain. A suite of well-integrated tools assists designers to create, simulate and test in a comprehensive manner. Modern software tools can be used at each stage to create conceptual designs, simulate part geometries, analyze key parameters, and generate motion paths for efficient manufacturing. This paper presents a set of comprehensive procedures and tools that can easily be incorporated into product design and manufacturing from early design through analysis. They consider assembly and disassembly factors up to and including the creation of a working prototype. Due to environmental regulations, designers must think about the product life cycle, recycling and reuse aspects from the very beginning. There is a continuing need for more efficient and rapid design processes which can best be driven by better tools and techniques.

Software Tools for Examination of Microanalytical Images

1990 ◽  
Vol 48 (2) ◽  
pp. 116-117
Author(s):  
David S. Bright
Keyword(s):  
Software Tools ◽  
Image Sequences ◽  
Dynamic Effects ◽  
X Ray ◽  
A Value ◽  
Multidimensional Histogram ◽  
Higher Dimensional ◽  
Reasonable Cost ◽  
Tools And Techniques ◽  
Microscope Stage

Image processing for enhancement and interpretation is a powerful tool for microscopy and microanalysis. Digital images are arrays of picture elements or pixels each having a coordinate (location) and a value. Two dimensional arrays with single intensity value (monochrome) or triple intensity values (color) pixels are in common use. Software tools and techniques are now available for desk top computers at reasonable cost that allow visualization of higher dimensional arrays and multivalued pixels. The following examples illustrate the application of these tools to microanalysis.Short image sequences (movies) are useful for showing dynamic effects such as the drift of an electron microscope stage with time or the interior of a sample eroded by sputtering on an ion microscope.The values of the pixels of registered images or x-ray maps can be accumulated in a multidimensional histogram (Concentration Histogram Image or CHI). The number of registered maps determines the dimensionality of the histogram.

scholarly journals Certain trends in uncertainty and sensitivity analysis: An overview of software tools and techniques

2020 ◽  
Vol 124 ◽  
pp. 104588 ◽  
Author(s):  
Dominique Douglas-Smith ◽  
Takuya Iwanaga ◽  
Barry F.W. Croke ◽  
Anthony J. Jakeman
Keyword(s):  
Sensitivity Analysis ◽  
Software Tools ◽  
Uncertainty And Sensitivity Analysis ◽  
Tools And Techniques

Software Tools and Techniques for Big Data Computing in Healthcare Clouds

2015 ◽  
Vol 43-44 ◽  
pp. 38-39 ◽  
Author(s):  
Lizhe Wang ◽  
Rajiv Ranjan ◽  
Joanna Kołodziej ◽  
Albert Zomaya ◽  
Leila Alem
Keyword(s):  
Big Data ◽  
Software Tools ◽  
Tools And Techniques ◽  
Big Data Computing

scholarly journals Enhancing the foundations for theorising through bibliometric mapping

2016 ◽  
Vol 33 (3) ◽  
pp. 327-350 ◽  
Author(s):  
Noemi Sinkovics
Keyword(s):  
Design Methodology ◽  
Marketing Research ◽  
Software Tools ◽  
Future Research ◽  
Journal Articles ◽  
Content Type ◽  
Publish Or Perish ◽  
The Past ◽  
Research Questions ◽  
Tools And Techniques

Purpose – The “academic revolution” that has taken place over the past 50-60 years has brought about many opportunities, but also challenges, in the lives of academics. The “publish or perish” phenomenon can be seen as one manifestation of the heated competition among universities for talent and resources. The resulting increase in publications, the decrease in the time academics have to read them, together with editors’ call for more originality, innovation, and meaning in submitted manuscripts lead to two questions. What techniques can help researchers and PhD students to effectively and efficiently navigate through large bodies of literature? What tools and techniques can be used to enhance the foundations for theorising? The purpose of this paper is to answer these two interrelated questions. Design/methodology/approach – The abstracts of 410 peer-reviewed journal articles connected to ethics in (international) marketing research are explored with software tools. The freely available VOSviewer software is used to visualise the specified body of literature. NVivo is employed to go deeper and explore specific themes identified through VOSviewer. Findings – A total of 17 clusters were identified, representing the major themes in the selected body of literature. Additionally, a number of research avenues and research questions are presented. Research limitations/implications – The analysis is based on the information provided in abstracts. Future research may wish to extend the analysis to full articles. Originality/value – The paper contributes by demonstrating how software tools such as VOSviewer and NVivo can be used to explore large bodies of literature and to experiment with research ideas to enhance the foundations for theorising.

Detection, Averaging, and 3D Reconstruction of Biological Specimens on Hypercubes (Transputer-based) Computers

1990 ◽  
Vol 48 (1) ◽  
pp. 454-455
Author(s):  
Jose-Maria Carazo ◽  
I. Benavides ◽  
S. Marco ◽  
J.L. Carrascosa ◽  
E.L. Zapata
Keyword(s):  
3D Reconstruction ◽  
3D Structure ◽  
Three Dimensional ◽  
Software Tools ◽  
Mapping Method ◽  
Computer Architectures ◽  
Parallel Computer ◽  
Reconstruction Process ◽  
Computing Power ◽  
Order Of Magnitude

Obtaining the three-dimensional (3D) structure of negatively stained biological specimens at a resolution of, typically, 2 - 4 nm is becoming a relatively common practice in an increasing number of laboratories. A combination of new conceptual approaches, new software tools, and faster computers have made this situation possible. However, all these 3D reconstruction processes are quite computer intensive, and the middle term future is full of suggestions entailing an even greater need of computing power. Up to now all published 3D reconstructions in this field have been performed on conventional (sequential) computers, but it is a fact that new parallel computer architectures represent the potential of order-of-magnitude increases in computing power and should, therefore, be considered for their possible application in the most computing intensive tasks.We have studied both shared-memory-based computer architectures, like the BBN Butterfly, and local-memory-based architectures, mainly hypercubes implemented on transputers, where we have used the algorithmic mapping method proposed by Zapata el at. In this work we have developed the basic software tools needed to obtain a 3D reconstruction from non-crystalline specimens (“single particles”) using the so-called Random Conical Tilt Series Method. We start from a pair of images presenting the same field, first tilted (by ≃55°) and then untilted. It is then assumed that we can supply the system with the image of the particle we are looking for (ideally, a 2D average from a previous study) and with a matrix describing the geometrical relationships between the tilted and untilted fields (this step is now accomplished by interactively marking a few pairs of corresponding features in the two fields). From here on the 3D reconstruction process may be run automatically.

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