scholarly journals Development and Application of an Analysis Methodology for Satellite Broadband Network Architectures

2002 ◽  
Author(s):  
Tatsuki Kashitani
Keyword(s):  
Network Architectures ◽  
Analysis Methodology ◽  
Broadband Network

Cable television broadband network architectures

2001 ◽  
Vol 39 (6) ◽  
pp. 122-126 ◽  
Author(s):  
G. Donaldson ◽  
D. Jones
Keyword(s):  
Cable Television ◽  
Network Architectures ◽  
Broadband Network

The evolution of broadband network architectures

2003 ◽  
Author(s):  
D.V. Batorsky ◽  
D.R. Spears ◽  
A.R. Tedesco
Keyword(s):  
Network Architectures ◽  
Broadband Network

Housing Inflation: Policy Guidelines from Shariah Perspective

2019 ◽  
Vol 16 (1) ◽  
pp. 70-81
Author(s):  
Azrul Azlan Iskandar Mirza ◽  
Asmaddy Haris ◽  
Ainulashikin Marzuki ◽  
Ummi Salwa Ahmad Bustamam ◽  
Hamdi Hakiem Mudasir ◽  
...  
Keyword(s):  
Content Analysis ◽  
Housing Prices ◽  
Construction Materials ◽  
Housing Price ◽  
Developed Countries ◽  
Control Element ◽  
Recent Issue ◽  
Analysis Methodology ◽  
The Government ◽  
Developing And Developed Countries

The soaring housing prices in Malaysia is not a recent issue. It is a global phenomenon especially in developing and developed countries, driven by factors including land price, location, construction materials cost, demand, and speculation. This issue demands immediate attention as it affects the younger generation, most of whom could not afford to buy their own house. The government has taken many initiatives and introduced regulations to ensure that housing prices are within the affordable range. This article aims to introduce a housing price control element from the Shariah perspective, as an alternative solution for all parties involved in this issue. It adopts content analysis methodology on policy from Shariah approved sources.

Benefit Clubs as a Tool for Loyalty Marketing. Study of Brazil’s Main Insurance Companies

2019 ◽  
Vol 10 (3) ◽  
pp. 216-226
Author(s):  
Guaracy Carlos Da Silveira ◽  
◽  
Fernando Augusto Carvalho Dineli Da Costa ◽  
Keyword(s):  
Content Analysis ◽  
Best Practices ◽  
Relationship Marketing ◽  
Insurance Companies ◽  
Brand Value ◽  
Analysis Methodology ◽  
Loyalty Marketing

: This paper considers Relationship Marketing as a business strategic tool and seeks to verify the existence of Benefit Clubs and their structure offered by the major insurance companies in Brazil, analyzing the presence and formatting of the programs. Through the content analysis methodology, we seek to infer its uses for the strengthening of the positioning of these companies. At the end of the paper we compare the best practices identified. The result of the analysis considers the differential obtained by the employment of programs that seek to create brand value and loyalty.

A Competency Analysis Methodology for Improving the Productivity of IT Human Resources

2008 ◽  
Vol 22 (1) ◽  
pp. 69-91 ◽  
Author(s):  
Woojong Suh ◽  
Daeseok Kang ◽  
강용원 ◽  
Jinwon Hong
Keyword(s):  
Human Resources ◽  
Analysis Methodology ◽  
It Human Resources

Color Space Transformation using Neural Networks

2019 ◽  
Vol 2019 (1) ◽  
pp. 153-158
Author(s):  
Lindsay MacDonald
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Color Space ◽  
Reflectance Spectra ◽  
Network Architectures ◽  
Color Spaces ◽  
Natural Materials ◽  
Space Transformation ◽  
Color Space Transformation

We investigated how well a multilayer neural network could implement the mapping between two trichromatic color spaces, specifically from camera R,G,B to tristimulus X,Y,Z. For training the network, a set of 800,000 synthetic reflectance spectra was generated. For testing the network, a set of 8,714 real reflectance spectra was collated from instrumental measurements on textiles, paints and natural materials. Various network architectures were tested, with both linear and sigmoidal activations. Results show that over 85% of all test samples had color errors of less than 1.0 ΔE2000 units, much more accurate than could be achieved by regression.

Deep Learning Approaches for Whiteboard Image Quality Enhancement

2019 ◽  
Vol 2019 (1) ◽  
pp. 360-368
Author(s):  
Mekides Assefa Abebe ◽  
Jon Yngve Hardeberg
Keyword(s):  
Deep Learning ◽  
Image Quality ◽  
Image Data ◽  
Quality Enhancement ◽  
Network Architectures ◽  
Learning Approaches ◽  
Data Set ◽  
Image Quality Enhancement ◽  
Processing Techniques ◽  
White Balancing

Different whiteboard image degradations highly reduce the legibility of pen-stroke content as well as the overall quality of the images. Consequently, different researchers addressed the problem through different image enhancement techniques. Most of the state-of-the-art approaches applied common image processing techniques such as background foreground segmentation, text extraction, contrast and color enhancements and white balancing. However, such types of conventional enhancement methods are incapable of recovering severely degraded pen-stroke contents and produce artifacts in the presence of complex pen-stroke illustrations. In order to surmount such problems, the authors have proposed a deep learning based solution. They have contributed a new whiteboard image data set and adopted two deep convolutional neural network architectures for whiteboard image quality enhancement applications. Their different evaluations of the trained models demonstrated their superior performances over the conventional methods.

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