This dissertation presents a research whose objective is to design and develop an intrusion detection and response model for Mobile Ad hoc NETworks (MANET). Mobile ad hoc networks are infrastructure-free, pervasive and ubiquitous in nature, without...
This thesis proposes a network based intrusion detection approach using anomaly detection and achieving low configuration and maintenance costs. A honeypots is an emerging security tool that has several beneficial characteristics, one of which is...
Lung cancer is the deadliest type of known cancer in the United States, claiming hundreds of thousands of lives each year. However, despite the high mortality rate, the 5-year survival rate after resection of Stage 1A non–small cell lung cancer...
Traditionally, fingerprint image acquisition was based on contact. However
the conventional touch-based fingerprint acquisition introduces some problems
such as distortions and deformations to the fingerprint image. The most recent
technology for...
From a computerized image analysis prospective, early diagnosis of lung cancer involves detection of doubtful nodules and classification into different pathologies. The detection stage involves a detection approach, usually by template matching,...
Intrusion Detection has emerged as a powerful component of network security systems. A wide range of hardware and software components exist to meet most basic security needs on all platforms. These systems log system usage that could be considered...
Electronic commerce--Corrupt practices--Prevention; Internet advertising--Corrupt practices; Internet fraud
Online search advertising is currently the greatest source of revenue for many Internet giants such as Google™, Yahoo!™, and Bing™. The increased number of specialized websites and modern profiling techniques have all contributed to an...
Traffic sign (TS) detection and tracking is one of the main tasks of an autonomous vehicle which is addressed in the field of computer vision. An autonomous vehicle must have vision based recognition of the road to follow the rules like every other...
Rootkits are stealthy, malicious software that allow an attacker to gain and maintain control of a system, attack other systems, destroy evidence, and decrease the chance of detection. Existing detection methods typically rely on a priori knowledge...
This dissertation addresses two different problems: 1) coronal loop detection from solar images: and 2) salient contour group extraction from cluttered images. In the first part, we propose two different solutions to the coronal loop detection...
Pattern perception--Data processing; Pattern recognition systems; Land mines--Detection; Data mining
For complex detection and classification problems, involving data with large intra-class variations and noisy inputs, no single source of information can provide a satisfactory solution. As a result, combination of multiple classifiers is playing...
Background: Emerging circulatory support devices that operate in counterpulsation to the native heart require synchronized timing of device ejection and filling on a beat-to-beat basis with the native heart using a patient's ECG. Surface leads are...
The application of carbon nanotubes (CNTs) has captivated the curiosity of today's experts due to the escalating potential in the field of electronic detection of biomolecules. Their extreme environmental sensitivity and small size make them ideal...
Purpose: To evaluate baseline and 3 different image enhancements for the detection of landmarks and overall perceived quality in photostimuable phosphor cephalograms. Methods: DenOptix images of 48 patients (plus 12 repeats) were presented randomly...
Over the last 15 years, researchers have explored the use of piezoresistive microcantilevers/resonators as gas sensors because of their relative ease in fabrication, low production cost, and their ability to detect changes in mass or surface stress...
Many important applications require the discovery of items which have occurred frequently. Knowledge of these items is commonly used in anomaly detection and network monitoring tasks. Effective solutions for this problem focus mainly on reducing...
Pattern recognition systems; Land mines--Detection; Pattern perception--Data processing; Data mining
Traditional machine learning and pattern recognition systems use a feature descriptor to describe the sensor data and a particular classifier (also called "expert" or "learner") to determine the true class of a given pattern....
Three-dimensional imaging in medicine; Diagnostic imaging; Dental care
CBCT in endodontics demonstrates anatomic features in 3D that intraoral, panoramic, and cephalometric images cannot. CBCT units reconstruct the projection data to provide interrelational images in three orthogonal planes (axial, sagittal, and...
Archaeologists use soil analysis to detect chemicals, like phosphate, to indicate areas of anthropogenic activity. Phosphate detection is a multi-step process, which makes standard techniques time consuming. Kinetic studies decreased the analysis...
This dissertation describes new procedures for synthesizing and purifying Au and Au/Ag nanoplates directly on surfaces as well as controlled binding of proteins to their surface. It also describes fundamental changes in the optical properties of Au...
