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Intracranial volume is an important measure in brain research often used as a correction factor in inter subject studies. The current study investigates the resulting outcome in terms of the type of software used for automatically estimating ICV measure. Five groups of 70 subjects are considered, including adult controls (AC) (n=11), adult with dementia (AD) (n=11), pediatric controls (PC) (n=18)...
Functional brain connectivity on the basis of fMRI time series analysis is a promising research endeavor in the study of the brain in its normal state as well as under different pathologies and neurological disorders. This study introduces a new approach to constructing rest-state connectivity networks interconnection with less amount of need to a-priori assumption and without setting any specific...
Regional brain atrophy is a typical structural symptom of Alzheimer's disease (AD). Magnetic resonance imaging (MRI) scans capture brain structure with high resolution and are often processed with automated segmentation and parcellation algorithm (e.g. Freesurfer) to generate regional measures, like cortical volume, cortical thickness and surface area, which are widely used as inputs in classification...
In this work, we leverage Cloud computing technologies in scaling out data management in geographical databases. In particular, we tackle the issue of data indexing in parallel. First, spatial data is partitioned and indexed in a Hadoop MapReduce cluster. Two main partitioning strategies are evaluated: a) A linear-complexity method based on Zorder values, and b) An iterative algorithm based on X-means...
In this study, a novel application of Principal Component Analysis (PCA) is proposed to detect language activation map patterns. These activation patterns were obtained by processing functional Magnetic Resonance Imaging (fMRI) studies on both control and localization related epilepsy (LRE) patients as they performed an auditory word definition task. Most group statistical analyses of fMRI datasets...
This research introduces a noise-resistant and computational efficient segmentation approach towards less constrained iris recognition. The UBIRIS.v2 database which contains close-up eye images taken under visible light is used to test the proposed algorithm. The proposed segmentation approach is based on a modified and fast Hough transform augmented with a newly developed strategy to define iris...
This paper develops a client-side context-aware search application which is built on the context-aware infrastructure. A context-aware architecture is designed to collect the mobile user's context information, derive mobile user's current context, distribute user context among context-aware applications, and support the context-aware applications. The context acquisition is centralized at the context...
Iris recognition remains the most viable and reliable biometric method for security purposes. With the increasing demands in public safety and security, iris identification is becoming a requisite that seeks high accuracy with a fast and reliable outcome. Thus an effective iris recognition method is one that should overcome the rigid constraints imposed during image acquisition, and offer near real...
This research presents a novel application of Lateralization Index (LI) in support of a decision making process for the classification of subjects based on their brain activation patterns using functional Magnetic Resonance Imaging (fMRI) datasets. The decision process considers the subject grouping based on additional spatial information provided by the LI behavior for each individual when calculated...
Mobile search is becoming increasingly important for mobile users as mobile devices are more widely used. Mobile search differs from standard PC-based Web search in a number of ways: (1) the user interfaces and I/O are limited by screen real estate and tiny key pads are tiny, (2) limited bandwidth and costly connection time, (3) increased local search due to mobility. These limitations result in more...
Mobile search is becoming increasingly important for mobile users as mobile devices are more widely used. Mobile search is quite different from standard PC-based web search in a number of ways: (a) the user interfaces and I/O are limited by screen real estate, (b) key pads are tiny and inconvenient for use, (c) limited bandwidth and (d) costly connection fees. These limitations result in more navigational...
The pupillary light reflex (PLR), which decreases the pupil size as larger amounts of light are sensed by the retina, is considered as the dominant factor in determining the pupil size. However, it has been found recently that the pupil diameter (PD), controlled by the Autonomic Nervous System (ANS), also responds to cognitive and emotional processes. In this paper, we are interested in the modeling...
Head-related transfer functions (HRTFs) are used to achieve binaural sound spatialization. Originally, sound spatialization techniques that utilize HRTFs require an intended listener to undergo lengthy measurements with specialized equipment. Unfortunately, the alternative generic HRTFs increase localization errors especially in elevation. Another option that we are pursuing is to customize HRTFs...
Motivated by the application of the 2D principal component analysis (PCA) for face recognition, this study proposes a modified multilinear PCA method as means to provide higher accuracy with comparable processing time in contrast to the results of contemporary methods. This comparative study includes an assessment of the accuracy and processing time of the independent component analysis (ICA), the...
One of the key problems of conventional iris recognition methods is that they are based on processing single iris image and require good image quality as an essential condition. These requisites entail considerable constraints on users for taking iris images. Video based iris recognition can provide convenience and time efficiency to the subjects with undemanding restrains during iris acquisition...
The emergence of data-intensive applications in medical and other fields of study has created the need for increased storage space. It is often the case that these data should not or cannot be placed in the same domain. The data usually requires considerable computational power to process, which has inspired the area of Grid computing. This study proposes a new methodology for sharing storage volumes...
The objective of this study was to design an adaptive, real-time assistive system as an alternate HCI that will give computer access to individuals with severe motor disabilities by means of eye gazing only. It focused on the implementation of an algorithm to smooth out abrupt and unwanted jerky behavior of the mouse cursor due to the saccadic nature of the eye movement via the configuration of an...
Wireless network carriers are expanding their data services to combat the shrinking average revenue per user in the face of challenges from competitive markets and emerging technologies such as VOIP. Context-aware applications, built on the notions of human computer interfaces and interaction, extract user data, analyze user patterns, and infer user intentions in a given environment. The objective...
This panel presents the Computing Alliance of Hispanic-Serving Institutions. The Alliance, developed by eight HSIs with funding from the NSF's Broadening Participation Program, seeks to increase the numbers of Hispanics in all areas of computing, including increasing the number of Hispanic students who enter the professoriate, retaining and advancing Hispanic faculty, and developing and sustaining...
This research is aimed at integrating two-dimensional (2-D) optical topographic maps to anatomical magnetic resonance imaging (MRI) for 3-D functional brain mapping. The uniqueness of this approach is in mapping topographic maps to the cortex surface of the brain based on projections of the results obtained from the skull surface. MRI is known to provide information about the anatomical structure...
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