- Home
- A-Z Publications
- Recent Patents on Computer Science
- Previous Issues
- Volume 12, Issue 2, 2019
Recent Patents on Computer Science - Volume 12, Issue 2, 2019
Volume 12, Issue 2, 2019
-
-
A Spiral-Phase Rear Mounted Triple Masking for Secure Optical Image Encryption Based on Gyrator Transform
Authors: Mehak Khurana and Hukum SinghBackground: A spiral phase rear mounted masked scheme is proposed based on Gyrator Transform (GT) to enhance the security contribution of second lens of the existing Double Random Phase Encoding (DRPE) system by modulating the phase of the output obtained in output plane. An additional third layer of Spiral Phase Mask (SPM) is included in the output plane in the same 4f system. Objective: To develop a symmetri Read More
-
-
-
A Novel Pentagonal Shaped Planar Inverted-F Antenna for Defense Applications
Authors: Purnima Sharma, Akshi Kotecha, Rama Choudhary and Partha Pratim BhattacharyaBackground: The Planar Inverted-F Antenna (PIFA) is most widely used for wireless communication applications due to its unique properties as low Specific Absorption Rate, low profile geometry and easy fabrication. In literature a number of multiband PIFA designs are available that support various wireless applications in mobile communication, satellite communication and radio frequency field. Methods: In this paper, a mini Read More
-
-
-
NUCA-2A: A New Adaptive and Behavior Aware Block Placement Process
Authors: Mohamed S. Souahi and Mohamed Ben MohammedBackground: The last three decades were marked by a spectacular evolution of CPUs. Both cores number on chip and shared Low Level Cache (LLC) size are increasing what makes LLC the bottleneck's system. One major weakness of future cache memory hierarchies will be to carry out memory blocks availability for vertical requests, with no consideration to horizontal proximity to cores. Simulations show that some LLC Read More
-
-
-
Eccentric Methodology with Optimization to Unearth Hidden Facts of Search Engine Result Pages
Background: The World Wide Web houses an abundance of information that is used every day by billions of users across the world to find relevant data. Website owners employ webmasters to ensure their pages are ranked top in search engine result pages. However, understanding how the search engine ranks a website, which comprises numerous web pages, as the top ten or twenty websites is a major challenge. Although Read More
-
-
-
Cloning Safe Driving Behavior for Self-Driving Cars using Convolutional Neural Networks
By Wael FaragBackground: In this paper, a Convolutional Neural Network (CNN) to learn safe driving behavior and smooth steering manoeuvring, is proposed as an empowerment of autonomous driving technologies. The training data is collected from a front-facing camera and the steering commands issued by an experienced driver driving in traffic as well as urban roads. Methods: This data is then used to train the proposed CNN to fa Read More
-
-
-
An Efficient Tool for Searching Maximal and Super Maximal Repeats in Large DNA/Protein Sequences via Induced-Enhanced Suffix Array
Authors: Sanjeev Kumar, Suneeta Agarwal and RanvijayBackground: DNA and Protein sequences of an organism contain a variety of repeated structures of various types. These repeated structures play an important role in Molecular biology as they are related to genetic backgrounds of inherited diseases. They also serve as a marker for DNA mapping and DNA fingerprinting. Efficient searching of maximal and super maximal repeats in DNA/Protein sequences can lead to many Read More
-
-
-
Dynamic Aggregation Mechanism for Efficient Transmission of H.264/SVC Video Over IEEE 802.11n WLANs
Authors: Dharm S. Jat, Lal Chand Bishnoi and Shoopala NambahuBackground: In just last two-years most of the world's video data has been created by the digital devices like smartphone, surveillance cameras, and wireless sensor networks. These days the IEEE 802.11n enabled devices for Wireless Local Area Networks (WLANs) are being used to achieve higher throughput at the Medium Access Control (MAC) layer. Methods: In this research, the Dynamic Aggregation Mechanism (DAM) alg Read More
-
-
-
Word and Character Information Aware Neural Model for Emotional Analysis
More LessBackground: Social media texts are often highly unstructured in accordance with the presence of hashtags, emojis and URLs occurring in abundance. Thus, a sentiment or emotion analysis on these kinds of texts becomes very difficult. The difficulty increases even more when such texts are in local languages like Arabic. Methods: This work utilizes novel deep learning architectures in the form of character-level Conv Read More
-
Most Read This Month
Article
content/journals/cseng
Journal
10
5
false
en
