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Sparse representation based classification (SRC) has been introduced as a new algorithm for face recognition classification instead of the classical gradient-based algorithms. However, there are some limitations that influence the robustness properties in SRC. One of the most effective parameters that impacts the SRC performance is the directory of training samples. It should contain enough samples...
Tracking people and localizing objects within indoor environments have become a necessity and thus motivated many researchers to tackle this challenge. Indoor positioning systems (IPSs) have been proposed using several technologies and efforts are honing down on mitigating the positioning error. The Received Signal Strength (RSS)-fingerprint based IPS has been recognized as one of the possible most...
Lempel-Ziv complexity is the basis for widely used compression algorithms. It has also been proposed as the basis for a distance metric to measure evolutionary distance. In this work we present an extension of the latter idea to develop a low complexity robust species-specific genomic signature. This signature can be used to identify biological organisms using only a small fragment of their genome...
This paper assesses the potential of one approach to predicting student performance in an introductory computer science class using information about students' preparation, attitudes and study habits. An expert system has been utilized for this purpose. The expert system accepts data related to seven different categories of preparation, belief and attitude and, through the partial activation of multiple...
Mobile advertisements are critical for both mobile users and businesses as people spend more time on mobile devices than on PCs. However, how to send relevant advertisements and avoid unnecessary ones to specific mobile users is always a challenge. For example, a concert-goer may like to visit restaurants or parks before the concert and may not like the advertisements of grocery stores or farmers'...
Automobiles are becoming increasingly connected and therefore are vulnerable to cyber attacks. Intrusion detection systems are a well established technique in cyber security and are now being deployed to detect attacks on cars by filtering the data streams which are exchanged by the car and the outside world as well within the automotive bus systems. The paper gives a brief overview of intrusion detection...
The microbial diversity and taxonomic profiles of human microbiome carries indicative signals associated with several complex human diseases. Methods quantifying and differentiating profiles belonging to healthy/disease microbiomes have a potential to be used as non-invasive diagnostic tools. 16S rRNA sequencing is a currently popular and feasible technology to generate the required data for such...
Determining the location for electric vehicles charging stations within a particular area of interest can be a key factor for a successful deployment. In this paper, an algorithm is developed which calculates the total number of charging stations for a particular model of electric vehicle in an Interstate and US-Highway in between two point cities. The algorithm takes into account design factors such...
As FPGAs have grown ever larger, there has been a shift in the manner in which they are programmed. Early on, it was typical for designers to design all FPGA firmware in house using VHDL and Verilog. This gradually shifted towards design reuse at the IP Core Level. However in modern times, even designs at the IP level are having trouble adapting quickly enough to customer demands. This has resulted...
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