Browsing Department of Computer Science and Engineering by Title
Now showing items 302-321 of 606
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Human Factors In Textual Password-based Authentication
Despite being the most commonly used method of authentication on the Web, textual password-based authentication is by no means a panacea as long as usability is concerned. In this dissertation work, we address some usability ... -
A Human Motion Database: The Cognitive And Parametric Sampling Of Human Motion
(Computer Science & Engineering, 2011-03-03)Motion databases have a strong potential to guide progress in the field of machine recognition and motion-based animation. Existing databases either have a very loose structure that do not sample the domain according to ... -
Hydrological Visualization And Analysis System And Drought Related Feature Selection Based On Sectional Correlation Measurement
(Computer Science & Engineering, 2013-03-20)Because of the larger data storage and the faster computational power, computer can process and store much finer resolution data. Aside from data analysis, data visualization is also an important task to understand the ... -
Hyper-optimized Machine Learning and Deep Learning Methods For Geo-spatial and Temporal Function Estimation
(2018-08-13)Owing to a high degree of freedom in human mobility, accurate modelling/estimation of human mobility function remains a challenge. Numerous work in the literature have tried to address the challenge using various traditional ... -
iGait: Vision-based Low-Cost, Reliable Machine Learning Framework for Gait Abnormality Detection
(2017-12-20)Human gait has shown to be a strong indicator of health issues under a wide variety of conditions. For that reason, gait analysis has become a powerful tool for clinicians to assess functional limitations due to neurological ... -
Image Annotation And Feature Engineering Via Structural Sparsity And Low Rank Approximation
(Computer Science & Engineering, 2014-03-12)Nowadays, in order to sense environment and understand human behaviors, data analysis plays a more and more important role to handle heterogeneous data ranging from different domains, e.g., image categorization/annotation, ... -
The Impact Of Different Cues on the Memorability Of System-assigned Recognition-based Textual Passwords
To ensure memorability, users employ predictable patterns when creating new passwords. These patterns make passwords easy to guess, which not only increases risks to users but also for the entire system. In contrast, ... -
IMPLEMENTATION AND ANALYSIS OF XCACHE ON SOUTHWEST TIER 2 CLOUD CLUSTER FOR LARGE HADRON COLLIDER ATLAS EXPERIMENT
(2019-05-07)The ATLAS Experiment is one of the four major particle-detector experiments at the Large Hadron Collider at CERN (birthplace of the World Wide Web). The ATLAS was one of the LHC experiments that successfully demonstrated ... -
Implementation Of A Middleware Architecture For Collaboration Among Mobile Devices In Opportunistic Networks.
(Computer Science & Engineering, 2013-03-20)Opportunistic networks provide a viable platform for mobile communications due to the ubiquity of smart phones. These networks are characterized by lack of end to-end reliable connections. In such networks, establishing ... -
Improving Accuracy in Large Vocabulary Sign Search Systems
(2016-08-26)An automated computer vision-based dictionary system for looking up the meaning of signs can be an invaluable tool both for students and native users of sign languages. Students may not know the meaning of a sign they ... -
Improving Gesture Recognition Performance Using The Dynamic Space-time Warp Algorithm
(Computer Science & Engineering, 2013-07-22)The DSTW algorithm was originally used as the fundamental algorithm for a gesture recognition software. When the need arose for implementing gesture recognition on-board a robotic vehicle, the original recognition software ... -
Improving Memorization and Long Term Recall of System Assigned Passwords
(2016-12-20)Systems assigned password have guaranteed robustness against guessing attacks, but they are hard to memorize. To make system assigned passwords more usable, it is of prime importance that systems that assign random password ... -
Improving Performance and Security in Anonymity Systems
(2018-09-06)Tor is an anonymity network that provides online privacy for the Internet users. Tor hides the user's traffic among the others' traffic. The more users Tor attracts, the stronger anonymity it provides. Unfortunately, users ... -
Improving Privacy And Performance In Anonymous Communications
(Computer Science & Engineering, 2011-03-03)Anonymous communications systems provide an important privacy service by keeping passive eavesdroppers from linking communicating parties. However, an attacker can use long-term statistical analysis of traffic sent to and ... -
Improving Quality Of Service In XML Data Stream Processing Using Load Shedding
(Computer Science & Engineering, 2012-07-25)In recent years, we have witnessed the emergence of new types of systems that deal with large volumes of streaming data. Examples include nancial data analy- sis on feeds of stock tickers, sensor-based environmental ... -
Improving time and space efficiency of trie data structure
(2018-08-15)Trie or prefix tree is a data structure that has been used widely in some applications such as prefix-matching, auto-complete suggestions, and IP routing tables for a long time. What makes tries even more interesting is ... -
Improving Tor Performance By Modifying Path Selection
(Computer Science & Engineering, 2014-12)Tor is a popular volunteer-based overlay network that provides anonymity andprivacy for Internet users. Using the Onion Proxy (OP) client, users connect to anetwork of Onion Routers (ORs) and send their traffic through an ... -
In Situ Sensor Calibration Using Noise Consistency
(2020-09-08)Robots rely on sensors to map their surroundings. As a result, the accuracy of the map depends heavily on the sensor noise and in particular on accurate knowledge of it. The common way to ... -
INCOMPLETE TIME SERIES FORECASTING USING GENERATIVE NEURAL NETWORKS
(2020-12-07)Dealing with missing data is a long pervading problem and it becomes more challenging when forecasting time series data because of the complex relationships between data and time, which is why incomplete data can lead to ... -
Increasing Localization Precision In Sensor Networks With Mobile Beacons - A Genetic Path Planning Approach
(Computer Science & Engineering, 2009-09-16)This work describes a genetic algorithm based approach to approximate an optimal path for a mobile beacon node in a grid of stationary wireless sensors. As the beacon moves over the field of sensors it broadcasts its ...