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As its name suggests, "interference alignment" is a class of transmission schemes that aligns multiple sources of interference to minimize its impact, thus aiming to maximize rate in an interference network. To our knowledge, this paper presents the first real-time implementation of interference alignment. Other implementation in the literature are either(More)
A common material in creating memristors is titanium dioxide (TiO2), grown by atomic layer deposition, sputtering, or sol-gel process. In this letter, we study the memristive behavior in thin TiO2 films fabricated by brief electrochemical anodization of titanium. The effects of different anodization times and annealing are explored. We discover that(More)
This study examined the suitability for the use of the polychaetous annelid Neanthes arenaceodentata in a short-term sublethal bioassay based on postexposure feeding rate. Quantification of feeding rate was determined by an approximately 1-h feeding period to Artemia franciscana nauplii after a 48-h aqueous exposure. Both lethality and feeding rate were(More)
Human trafficking is a challenging law enforcement problem, with a large amount of such activity taking place online. Given the large, hetrogenous and noisy structure of this data, the problem becomes even more challenging. In this paper we propose and entity resolution pipeline using a notion of proxy labels, in order to extract clusters from this data(More)
BACKGROUND There is growing interest in using machine learning approaches to priority rank studies and reduce human burden in screening literature when conducting systematic reviews. In addition, identifying addressable questions during the problem formulation phase of systematic review can be challenging, especially for topics having a large literature(More)
Manufacturers of consumer goods often conduct surveys to determine customer satisfaction as well as guide the design of future products. In order to make use of the information it is necessary to determine the most important underlying common factors in the survey results. However, inconsistency in data obtained from humans is often problematic for(More)
Charge Injection Devices (CIDs) have historically played a niche role in visible imager technologies, mainly for applications requiring high radiation tolerance. They have not exhibited the radiometric performance of competing visibleimaging technologies such as CCDs, and so have not been widely applied to space instrument systems. Recent advances in CIDs(More)
In many datasets, different parts of the data may have their own patterns of correlation, a structure that can be modeled as a mixture of local linear correlation models. The task of finding these mixtures is known as correlation clustering. In this work, we propose a linear correlation clustering method for datasets whose features are pre-divided into two(More)
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