This research addresses a process mining methodology to maximize the information obtained from data bases with high levels of event order uncertainty. In healthcare environments, the databases that are easiest to obtain and most representative of a patient's entire hospital stay…
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A broad class of important materials, such as silicon carbide (SiC), are fabricated by temperature-controlled pyrolysis of pre-ceramic polymers. In particular, fabrication of SiC membranes by pyrolysis of a polymer precursor that contains Si is quite attractive for separation of…
Software defects are expensive, costing the US economy 60 billion annually [1]. However, quality control techniques are expensive and are further constrained by the availability of resources. Therefore, a large body of research focuses on efficient quality control activities. De…
Radio Frequency IDentification (RFID) is an automatic identification technology that uses radio frequency to identify objects. Securing RFID systems and providing privacy in RFID applications has been the focus of much academic work lately. To ensure universal acceptance of RFID…
Security vulnerabilities pose a real threat to computing systems ranging from personal computers to mobile devices and critical systems. Quantification and prediction of vulnerabilities allows us to compare systems, orient and plan to mitigate vulnerabilities, and design reliabl…
Behavioral pattern prediction has many applications, ranging from consumer buying behavior analysis, web surfing prediction to network attack prediction. The traditional behavioral pattern prediction technique works mainly on a fixed dataset. But recent advances in digital techn…
Advances in super-resolution imaging have been made by reconstruction, interpolation and example-based algorithmic techniques drawn from the fields of signal and image processing, machine learning, biologically-inspired computer vision, and psychology. However, the performance o…
By clustering one seeks to partition a given set of points into a number of clusters such that points in the same cluster are similar and are dissimilar to points in other clusters. In the virtue of this goal, data of relational nature become typical for clustering. The similari…
The thesis emphasizes on building an intuitive and robust GIS(Geographic Information systems) tool which gives an insight into the colonial era of India, including the advent of independence. The GIS tool incorporates various European colonies and their territories on the ancien…
Metric embeddings constitute one of the fundamental tools for exploiting the underlying geometric structure of many combinatorial problems. In this dissertation we study some of the applications of metric embeddings in the fileld of computer science and resolve some of the previ…
The author developed a unified nD framework and process ontology for Building Information Modeling (BIM). The research includes a framework developed for 6D BIM, nD BIM, and nD ontology that defines the domain and sub-domain constructs for future nD BIM dimensions. The nD ontolo…
More than 2.2 million US service members have seen deployment to Iraq and Afghanistan over the past decade. As the number of veterans returning home has increased, the need for new and innovative approaches to the variety and severity of mental health issues experienced after de…
Wireless assistive healthcare technologies, wireless communication medical devices, and body sensor networks for medical diagnostics and therapeutics have attracted increasing attention recently. Modern Healthcare systems use wearable and implantable medical devices to capture a…
This dissertation presents a novel features selection wrapper method based on neural networks, named the Binary Wrapper for Features Selection Technique. The major aim of this method is to reduce the computation time that is consumed during the implementation of the process of f…
The study of representational practice in mediated environments is becoming increasingly relevant to our understanding of how collaborative meaning making processes are supported (or not) by technology affordances. The current work presents an empirical analysis of how a small g…
The problem of meeting scheduling, in its general outlines, is a typical problem of group decision. The main question, addressed in group decision is, given the individual (private) preferences over alternative mutual decisions, what should the mutual decision be. Meeting schedu…
Given a geometric graph G = (V, E), where V is the set of vertices and E is the set of edges and a source-target pair {s, t} is a subset of V, a local geometric routing algorithm seeks a route from s to t using only local neighborhood relationships. This thesis proposes a local …
Ordinary and partial differential equations are often derived as a first approximation to model a real-world situation, where the state of the system depends not only on the present time, but also on the history of the system. In this situation, a higher level of realism can be …
With the growth of information and its ever increasing number of patterns in archiving and storing, the need for systems that can automatically extract useful information is getting more prevalent. Most existing search engines are based on Keywords. The method of structuring and…