Important to effective use of graphic portrayals of data and information is the science of
communicating effectively with symbols. In general, today’s practice of icon design is
more art than true science. While ...
Growing demand for wireless data and the spectrum congestion in the existing 4G LTE
networks have led the researchers to focus on ways to utilize the large bandwidths available
in the above 6 GHz spectrum. The technology ...
Student retention to successful graduation is an enduring issue in higher education. National
statistics indicate most higher education institutions have four-year degree completion
rates around 50%, or just half of their ...
Underwater target tracking has vital importance in a variety of applications, most notably military surveillance and defense. This work is focused on underwater target tracking
using active sonar. In active sonar, sound ...
We present a method of generating plausible interpolations between frames from ani-
mated pixel art. We do this in the hopes of helping artists working in the style by providing
a simple method of interpolation, which ...
Promoted by the evolution of artificial intelligence and deep learning, more and more intelligent applications have emerged on mobile devices. As one of the most representative deep learning technologies, deep neural ...
Security at low cost is an important factor for cryptographic hardware implementations.
Unfortunately, the security of cryptographic implementations is threatened by Side
Channel Analysis (SCA). SCA attempts to discover ...
Internet Protocol Security (IPsec) provides essential security against attacks on data
transmitted over the Internet through di erent security services provided by cryptographic
algorithms like encryption modules and ...
Aggressive downsizing of individual transistors continues to improve the perfor-
mance of integrated circuits. However, as the transistors get smaller, they become
more vulnerable to damage by high current and high voltage ...
The Dynamic Voltage Scaling (DVS) technique is the basis of numerous state-of-the-art
energy management schemes proposed for real-time embedded systems. However, recent
research has illustrated the alarmingly negative ...
The number of wireless systems and services has grown tremendously over the last two
decades. As a result, the availability of wireless spectrum has become extremely limited.
Cognitive radio is a new technique to overcome ...
Data has been defined as low level individual observations and measurements. Related pieces of data can be organized to produce information. Information can be analyzed, understood, and explained to produce knowledge. The ...
The data collected by the NIITEK GPR, high range resolution (HRR) ground-penetrating
radar (GPR), results in a digitized raw video representing signals re
ected at the surface
of as well as internal to the landmine due ...
The effects of landslides have been exponentially increasing due to the rapid growth of urbanization and global climate change. However, the methods to evaluate the effects of landslides on very large areas (such as an ...
Information Centric Disruption Tolerant Networks (ICDTNs) have been forwarded as a new powerful approach to provide effective data and information sharing when existing communication infrastructures are degraded or destroyed. ...
This research examines the differences in the way large and small organizations approach
software development to better understanding if small organizations should attempt
to model large organizations’ practices. Practices ...
The need to operate on sequence data is prevalent across a range of real world applications including protein/DNA classification, speech recognition, intrusion detection, and text classification. Sequence data can be ...
A vast amount of 2D images and 3D meshes and points are created every day. Many applications require us to extract more semantic information beyond the original raw discrete representation of pixels, facets and points from ...
Classification of nodes in relational networks is an important task because it involves applications in multiple areas that can impact people's lives on a daily basis. The inability to use traditional classification ...
Recent advancements in machine learning domain have been enabled by the ability to analyze massive volumes of data, and to extract and learn patterns within that data. However, large-scale data collection raises privacy ...