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Articles 151 - 180 of 365
Full-Text Articles in Computer Sciences
Ogma - Language Acquisition System Using Immersive Virtual Reality, Sanika Gupta
Ogma - Language Acquisition System Using Immersive Virtual Reality, Sanika Gupta
Computer Science and Engineering Theses - Archive
One of the methods of learning a new language, or Second-Language Acquisition (SLA), is immersion, seen today as one of the most effective learning methods. Using this method, the learner relocates to a new place where the target language is the dominant language and tries to learn the language my immersing themselves in the local environment. However, it isn’t a feasible option for all, thus, traditional, less effective learning methods are used. As an alternative solution, we use virtual reality (VR) as a new method to learn a new language. VR is an immersive technology that allows the user to …
Performance Evaluation Of Matrix Operations On Map-Reduce Query Language, Ahmed Abdul Hameed A Ulde
Performance Evaluation Of Matrix Operations On Map-Reduce Query Language, Ahmed Abdul Hameed A Ulde
Computer Science and Engineering Theses - Archive
Non-Negative matrix factorization is well-known complex machine learning algorithm which is also used in collaborative filtering. Collaborative filtering technique is used in recommendation systems and these techniques aim at predicting the missing values in user-item association matrix. User-item association matrix contains number of users as rows and number of movies as columns and the values are the ratings given by user to respective movies. These matrices have large dimensions, missing values and needs parallel processing. Map reduce query language (MRQL) is a query processing and optimization system for large-scale, distributed data analysis, built on top of Apache hadoop, spark, hama …
Spatio-Temporal Patterns Of Gps Trajectories Using Association Rule Mining, Vivek Kumar Sharma
Spatio-Temporal Patterns Of Gps Trajectories Using Association Rule Mining, Vivek Kumar Sharma
Computer Science and Engineering Theses - Archive
The availability of location-tracking devices such as GPS, Cellular Networks and other devices provides the facility to log a person or device locations automatically. This creates spatio-temporal datasets of user's movement with features like latitude,longitude of a particular location on a specific day and time. With the help of these features different patterns of user movement can be collected,queues and analyzed.In this research work, we are focused on user's movement patterns and frequent movements of users on a particular place,day or time interval. To achieve this we used Association Rule mining concept based on Apriori algorithm to find interesting movement …
Processing Queries Over Partitioned Graph Databases: An Approach And It's Evaluation, Jay Dilipbhai D. Bodra
Processing Queries Over Partitioned Graph Databases: An Approach And It's Evaluation, Jay Dilipbhai D. Bodra
Computer Science and Engineering Theses - Archive
Representation of structured data using graphs is meaningful for applications such as road and social networks. With the increase in the size of graph databases, querying them to retrieve desired information poses challenges in terms of query representation and scalability. Independently, querying and graph partitioning have been researched in the literature. However, to the best of our knowledge, there is no effective scalable approach for querying graph databases using partitioning schemes. Also, it will be useful to analyze the quality of partitioning schemes from the query processing perspective. In this thesis, we propose a divide and conquer approach to process …
Localization And Control Of Distributed Mobile Robots With The Microsoft Kinect And Starl, Nathan Hervey
Localization And Control Of Distributed Mobile Robots With The Microsoft Kinect And Starl, Nathan Hervey
Computer Science and Engineering Theses - Archive
With the increasing availability of mobile robotic platforms, interest in swarm robotics has been growing rapidly. The coordinated effort of many robots has the potential to perform a myriad of useful and possibly dangerous tasks, including search and rescue missions, mapping of hostile environments, and military operations. However, more research is needed before these types of capabilities can be fully realized. In a laboratory setting, a localization system is typically required to track robots, but most available systems are expensive and require tedious calibration. Additionally, dynamical models of the robots are needed to develop suitable control methods, and software must …
Adwire: Add-On For Web Item Review System, Rajeshkumar Ganesh Kannapalli
Adwire: Add-On For Web Item Review System, Rajeshkumar Ganesh Kannapalli
Computer Science and Engineering Theses - Archive
Past few decades have seen a widespread use and popularity of online review sites such as Yelp, TripAdvisor, etc. As many users depend upon reviews before deciding upon a product, businesses of all types are motivated to possess an expansive arsenal of user feedback (preferably positive) in order to mark their reputation and presence in the Web (e.g., Amazon customer reviews). In spite of the fact that a huge extent of buying choices today are driven by numeric scores (e.g., movie rating in IMDB), detailed reviews play an important role for activities like purchasing an expensive mobile phone, DSLR camera, …
A Data Driven, Hospital Quality Of Care Portal For The Patient Community, Sreehari Balakrishna Hegden
A Data Driven, Hospital Quality Of Care Portal For The Patient Community, Sreehari Balakrishna Hegden
Computer Science and Engineering Theses - Archive
With the recent changes in health services provision, patients are members of a consumer driven health care system. However, the health care consumers are not presented with adequate opportunities to enhance their position in choosing high quality hospital services. As a result, the demand for active patient participation in the choice of quality and safe hospital services remained unaddressed. In this research work, we developed MediQoC (Medicare Quality of Care), a data driven web portal for Medicare patients, their caregivers and the health care insurance policy designers to grant access to data-driven information about hospitals, and quality of care indicators. …
A New Real-Time Approach For Website Phishing Detection Based On Visual Similarity, Omid Asudeh
A New Real-Time Approach For Website Phishing Detection Based On Visual Similarity, Omid Asudeh
Computer Science and Engineering Theses - Archive
Phishing attacks cause billions of dollars of loss every year worldwide. Among several solutions proposed for this type of attack, visual similarity detection methods have a good amount of accuracy. These methods exploit the fact that malicious pages mostly imitate some visual signals in the targeted websites. Visual similarity detection methods usually look for the imitations between the screen-shots of the web-pages and the image database of the most targeted websites. Despite their accuracy, the existing visual based approaches are not practical for the real-time purposes because of their image processing overhead. In this work, we use a pipeline framework …
Detecting Real-Time Check-Worthy Factual Claims In Tweets Related To U.S. Politics, Fatma Dogan
Detecting Real-Time Check-Worthy Factual Claims In Tweets Related To U.S. Politics, Fatma Dogan
Computer Science and Engineering Theses - Archive
In increasing democracy and improving political discourse, political fact-checking has come to be a necessity. While politicians make claims about facts all the time, journalists and fact-checkers oftentimes reveal them as false, exaggerated, or misleading. Use of technology and social media tools such as Facebook and Twitter has rapidly increased the spread of misinformation. Thus, human fact-checkers face difficulty in keeping up with a massive amount of claims, and falsehoods frequently outpace truths. All U.S. politicians have successively adopted Twitter, and they make use of Twitter for a wide variety of purposes, a great example being making claims to enhance …
Qp-Subdue: Processing Queries Over Graph Databases, Ankur Goyal
Qp-Subdue: Processing Queries Over Graph Databases, Ankur Goyal
Computer Science and Engineering Theses - Archive
Graphs have become one of the preferred ways to store structured data for various applications such as social network graphs, complex molecular structure, etc. Proliferation of graph databases has resulted in a growing need for effective querying methods to retrieve desired information. Querying has been widely studied in relational databases where the query optimizer finds a sequence of query execution steps (or plans) for efficient execution of the given query. Until now, most of the work on graph databases has concentrated on mining. For querying graph databases, users have to either learn a graph query language for posing their queries …
Lung Cancer Subtype Classification From Whole Slide Histopathological Images, Dheeraj Ganti
Lung Cancer Subtype Classification From Whole Slide Histopathological Images, Dheeraj Ganti
Computer Science and Engineering Theses - Archive
Lung Cancer is one of the most serious diseases causing death for human be- ings. The progression of the disease and response to treatment di ers widely among patients. Thus it is very important to classify the type of tumor and also able to predict the clinical outcomes of patients. Majority of lung cancers is Non-Small Cell Lung Cancer (NSCLC) which constitutes of 84 % of all the type of lung cancers. The two major subtypes of NSCLC are Adenocarcinoma (ADC) and Squamous Cell Car- cinoma (SCC). Accurate classi cation of the lung cancer as NSCLC and its subtype classi …
Quantitative Analysis Of Scalable Nosql Databases, Surya Narayanan Swaminathan
Quantitative Analysis Of Scalable Nosql Databases, Surya Narayanan Swaminathan
Computer Science and Engineering Theses - Archive
NoSQL databases are rapidly becoming the customary data platform for big data applications. These databases are emerging as a gateway for more alternative approaches outside traditional relational databases and are characterized by efficient horizontal scalability, schema-less approach to data modeling, high performance data access, and limited querying capabilities. The lack of transactional semantics among NoSQL databases has made the application determine the choice of a particular con- sistency model. Therefore, it is essential to examine methodically, and in detail, the performance of different databases under different workload conditions. In this work, three of the most commonly used NoSQL databases: MongoDB, …
Speaker Identification In Live Events Using Twitter, Minumol Joseph
Speaker Identification In Live Events Using Twitter, Minumol Joseph
Computer Science and Engineering Theses - Archive
The prevalence of social media has given rise to a new research area. Data from social media is now being used in research to gather deeper insights into many different fields. Twitter is one of the most popular microblogging websites. Users express themselves on a variety of different topics in 140 characters or less. Oftentimes, users “tweet” about issues and subjects that are gaining in popularity, a great example being politics. Any development in politics frequently results in a tweet of some form. The research which follows focuses on identifying a speaker’s name at a live event by collecting and …
Interactive Dashboard For User Activity Using Network Flow Data, Lalit Kumar Naidu
Interactive Dashboard For User Activity Using Network Flow Data, Lalit Kumar Naidu
Computer Science and Engineering Theses - Archive
Data visualization is critical in analytical systems containing multi-dimensional dataset and problems associated with increasing data size. It facilitates the data explanation process of reasoning data and discovering trends with visual perception that are otherwise not evident within the data in its raw form. The challenge involved in visualization is presenting data in such a way that helps end users in the process of information discovery with simple visuals. Interactive visualizations have increasingly become popular in recent years with prominent research in the field of information visualization. These techniques are heavily used in web-based applications to present myriad forms of …
Performance Comparison Of Spatial Indexing Structures For Different Query Types, Neelabh Pant
Performance Comparison Of Spatial Indexing Structures For Different Query Types, Neelabh Pant
Computer Science and Engineering Theses - Archive
R-Trees are among the most popular multidimensional access methods suitable for indexing two dimensional spatial data and point data. R-Trees are found in most of the spatial database systems for indexing the spatial data. The data include points, lines and polygons which are retrieved and stored efficiently. There are many Spatial Database Systems which have incorporated R-Trees, for example, IBM Informix, Oracle Spatial, PostgreSQL and many others.Another version of R-Tree is R*-Tree which is also used for the same purpose i.e. indexing spatial data. R*-Tree has also been incorporated in an open source software SQLite with an extension of Spatialite. …
Evaluating The Effectiveness Of Ben In Localizing Different Types Of Software Fault, Jaganmohan Chandrasekaran
Evaluating The Effectiveness Of Ben In Localizing Different Types Of Software Fault, Jaganmohan Chandrasekaran
Computer Science and Engineering Theses - Archive
Debugging refers to the activity of locating software faults in a program and is considered to be one of the most challenging tasks during software development. Automated fault localization tools have been developed to reduce the amount of effort and time software developers have to spend on debugging. In this thesis, we evaluate the effectiveness of a fault localization tool called BEN in locating different types of software faults. Assuming that combinatorial testing has been performed on the subject program, BEN leverages the result obtained from combinatorial testing to perform fault localization. Our evaluation focuses on how the following three …
The Impact Of Different Cues On The Memorability Of System-Assigned Recognition-Based Textual Passwords, Kanis Fatema
The Impact Of Different Cues On The Memorability Of System-Assigned Recognition-Based Textual Passwords, Kanis Fatema
Computer Science and Engineering Theses - Archive
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, system-assigned textual passwords offer security but suffer from poor memorability. Previous research investigated the idea of textual recognition, in which the user would be assigned a word from a list and asked to recall the word later. The recall rate for this scheme was shown to be no better than memorizing a sequence of randomly assigned letters, but the researchers suggested that memorability may be improved if …
Biomedical Parameter Measurements Using Video Processing, Negar Ziaee Nasrabadi
Biomedical Parameter Measurements Using Video Processing, Negar Ziaee Nasrabadi
Computer Science and Engineering Theses - Archive
For quite some time, patients’ cardiovascular parameters have been measured by sensors connected to their body. One way of measuring these parameters is pulse oximetry by using an optical technique. It uses a photodetector to detect light absorption changes of red and infrared light. These two types of light serve as two sources of illumination. These current types of methods for monitoring parameters are often viewed as uncomfortable by the patient, and therefore are not desirable for frequent and long periods of monitoring. Furthermore, these methods can potentially produce a psychologically influenced bias from the patient because the patient is …
Advanced Sparsity Techniques In Medical Imaging And Image Processing, Chen Chen
Advanced Sparsity Techniques In Medical Imaging And Image Processing, Chen Chen
Computer Science and Engineering Theses - Archive
In the past decades, sparsity techniques has been widely applied in the fields of medical imaging, computer vision, image processing, compressive sensing, machine learning etc., and gained great success. In this work, we propose new models of sparsity techniques, which is an extension to the standard sparsity used in the existing works and in the vein of structure sparsity families. First, we introduce the wavelet tree sparsity in natural images. It shows that the tree sparsity regularization often outperforms the existing standard sparsity based techniques in magnetic resonance imaging. Second, we extend the tree sparsity to forest sparsity on multi-channel …
Gait Analysis On A Smart Floor For Health Monitoring, Oluwatosin Oluwadare
Gait Analysis On A Smart Floor For Health Monitoring, Oluwatosin Oluwadare
Computer Science and Engineering Theses - Archive
Gait analysis is the investigation of an individual pattern of walking. Based on studies in Psychophysics, it has been shown that the human gait contains unique information that is useful for the evaluation of foot and gait pathologies. The goal of this project is to use a floor mounted pressure sensor system capable of measuring a significant number of parameters relevant to gait to predict and detect anomalous behavior. The system consists of an array of pressure sensors mounted under floor tiles and computer hardware responsible for data collection. The method used in this project is unique since most systems …
Design And Implementation Of An Open Beaconing Architecture For Internet Of Things, Arjun Kumar Bhaskar Shetty
Design And Implementation Of An Open Beaconing Architecture For Internet Of Things, Arjun Kumar Bhaskar Shetty
Computer Science and Engineering Theses - Archive
The power of the Internet is penetrating into the physical world with ever increasing speed and expanding reach under the general concept of Internet of Things. Extensive sets of efforts have been devoted toward establishing an interconnected network of smart devices in a self-organized manner. Nowadays, using low power beacons to announce the presences of physical objects has gained tremendous momentum exemplified by iBeacon from Apple. Unfortunately, schemes like iBeacon use abstract codes to denote a physical entity, limiting it to be only understandable by those with knowledge of it beforehand. In this thesis, we develop an open architecture where …
Faster Sampling Over Theoritical And Online Social Networks, Ramakrishna Aduri
Faster Sampling Over Theoritical And Online Social Networks, Ramakrishna Aduri
Computer Science and Engineering Theses - Archive
Online social networks have become very popular recently and are used bymillions of users. Researchers increasingly want to leverage the rich variety ofinformation available. However, social networks often feature a web interface that onlyallows local-neighborhood queries - i.e., given a user of the online social network asinput, the system returns the immediate neighbors of the user. Additionally, they alsohave rate limits that restrict the number of queries issued over a given time period. Theserestrictions make third party analytics extremely challenging. The traditional approach ofusing random walks is not effective as they require significant burn-in period before theirstationary distribution converges to …
Microblog Analyzer Aggregate Estimation Over A Micro Blog Platform, Satishkumar Masilamani
Microblog Analyzer Aggregate Estimation Over A Micro Blog Platform, Satishkumar Masilamani
Computer Science and Engineering Theses - Archive
Microblogging is a new mode of communication in which users can share their current status in brief and agile way in the form of text, image, video etc over smart phones, email or web. Recently, Microblogs such as Twitter, Tumblr, Google+ have experience phenomenal growth and are regularly used by millions of users. The data from microblogs is very useful for researchers to analyze various facets such as user behaviors, user intentions (like daily chatter, conversations, sharing information and reporting news), microblog social network structure etc. For example, a sociologist might want to use the microblog postings to analyze the …
A Real-Time Embedded Data Acquisition System For Surface Measurements Using Multiple Line Lasers, A P Vikram Simha
A Real-Time Embedded Data Acquisition System For Surface Measurements Using Multiple Line Lasers, A P Vikram Simha
Computer Science and Engineering Theses - Archive
In the last few years there has been a significant increase in the number of hand held devices. These devices boast of delivering features such as high performance, low power consumption, high memory availability, serial and parallel interfacing capability, connectivity through the Ethernet, wireless, etc., at a very low cost. These embedded devices powered by open source software like Linux and Arduino have paved the way for the development of high efficiency, low cost portable products in a very short period of time.The objective of this thesis is to enhance the portability, efficiency, and other features of the existing Roline …
Graph Embedding Discriminative Unsupervised Dimensionality Reduction, Yun Liu
Graph Embedding Discriminative Unsupervised Dimensionality Reduction, Yun Liu
Computer Science and Engineering Theses - Archive
In this thesis, a novel graph embedding unsupervised dimensionality reduction method was proposed. Simultaneously, we assigned the adaptive and optimal neighbors on the basis of the projected local distances, thus we developed the dimensionality reduction along with the graph construction. The clustering results could be directly exhibited from the learnt graph which has the explicit block diagonal structure.The analysis of experimental result on different databases also determines that the proposed dimensionality reduction method is superior to other related dimensionality reduction methods, like PCA and LPP. In this study, we use synthetic data and real-world benchmark data sets. Also experimental results …
A Hmm-Based Prediction Model For Spatio-Temporal Trajectories, Sakthi Kumaran Shanmuganathan
A Hmm-Based Prediction Model For Spatio-Temporal Trajectories, Sakthi Kumaran Shanmuganathan
Computer Science and Engineering Theses - Archive
Spatio-temporal trajectories are time series data that represent movement of an object over the time. Hidden Markov Models (HMM), a variant of Markov Models (MM), were first applied at a large scale to speech recognition but have also been used in time series prediction by analyzing trends in historical time series data. In this research, we propose a storm prediction model using a HMM built from overall storm trajectories derived from raw rainfall data. This HMM is built by assuming the states are associated with clusters created by clustering the locations of each storm from the overall storm trajectories. Then …
Improving Tor Performance By Modifying Path Selection, Mehrdad Amirabadi
Improving Tor Performance By Modifying Path Selection, Mehrdad Amirabadi
Computer Science and Engineering Theses - Archive
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 encrypted path ofthree ORs. One of the main problems of the Tor network is its slow performance, anda key cause of this is the Tor path selection algorithm. In Tor, ORs are selected basedprimarily on their bandwidth. In this work, we improve on the Tor path selectionalgorithm by proposing a new algorithm that besides bandwidth, uses distance as afactor to help reduce propagation delay. In our …
Linking Entity Profiles, Ramesh Venkataraman
Linking Entity Profiles, Ramesh Venkataraman
Computer Science and Engineering Theses - Archive
Entity linking allows one to have collections of data from multiple sources as a global dataset and then query those data. Entity linking allows us to do knowledge discovery on this global dataset which might result in the discovery of some interesting facts and information. Microsoft Academic Search (MAS) is a free public search engine for academic papers and contains the bibliographic information for papers published in journals, conference proceedings and respective citations. As of February 2014, it has indexed over 40 million publications and 20 million authors. LinkedIn is a social networking service used for professional networking. LinkedIn has …
Estimation Myopia: Tinkering With Perception In Software Estimation And Placebo Estimation In Edw, Hazem Hasan Yassin
Estimation Myopia: Tinkering With Perception In Software Estimation And Placebo Estimation In Edw, Hazem Hasan Yassin
Computer Science and Engineering Theses - Archive
The goal of this study is to explore an effective way to provide timely and accurate size estimates for software and for an enterprise data warehouse (EDW). Several research papers attempt to adapt function point (FP) analysis to EDW, but there is not much research in comprehensive techniques to estimate large EDW projects. Despite the generality of FP, it is challenging to employ in an EDW environment. This thesis describes such a technique. Additionally, the thesis provides an overview of general estimating approaches, techniques, models, and tools.This work presents a software tool that is a custom built estimation utility that …
A Method To Evade Keyword Based Censorship, Ritu R. Patil
A Method To Evade Keyword Based Censorship, Ritu R. Patil
Computer Science and Engineering Theses - Archive
Many countries block the content of web pages which are deemed against the morals, religious rules or policies set by government or organization. Countries like China block the post which is against their government interest. Germany blocks contents related to Neo-Nazi group. Most of these web pages are subjected to IP address blocking, DNS poisoning and keyword based filtering. We mainly focus on keyword based filtering as it is fine grained filtering technique where the contents of web pages are filtered using blacklisting. So with increase in surveillance over network, arms race for circumvention techniques has also increased. We propose …