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Articles 121 - 150 of 365
Full-Text Articles in Computer Sciences
Inferring In-Screen Animations And Inter-Screen Transition From User Interface Screenshots, Siva Natarajan Balasubramania
Inferring In-Screen Animations And Inter-Screen Transition From User Interface Screenshots, Siva Natarajan Balasubramania
Computer Science and Engineering Theses - Archive
In practice, many companies have adopted the concept of creating interactive prototypes for explaining workflows and animations. Designing and developing a user interface is a time-consuming process, and the user experience of the application has a major impact on the success of the application itself. User interface designing marks the start of the app development, and it is very expensive regarding cost and time for making any modification after the coding phase kicks in. Currently, companies have adopted UI prototyping as part of the app development process. Third-party tools like Flinto or Invision use the high fidelity screen designs for …
A Deep Learning Based Pipeline For Metastatic Breast Cancer Classification From Whole Slide Images (Wsi), Arjun Punabhai Vekariya
A Deep Learning Based Pipeline For Metastatic Breast Cancer Classification From Whole Slide Images (Wsi), Arjun Punabhai Vekariya
Computer Science and Engineering Theses - Archive
Pathology is a 150-year-old medical specialty that has seen a paradigm shift over the past few years with the advent of Digital Pathology. Digital Pathology is a very promising approach to diagnostic medicine to accomplish better, faster and cheaper diagnosis, prognosis and prediction of cancer and other important diseases. Historical approaches in Digital Pathology have focused primarily on low-level image analysis tasks (e.g., color normalization, nuclear segmentation, and feature extraction) hence they are not generalized, thus not useful for practical use in clinical practices. In this thesis, a general Deep Learning based classification pipeline for identifying cancer metastases from histological …
Activity Detection And Classification On A Smart Floor, Anil Kumar Mullapudi
Activity Detection And Classification On A Smart Floor, Anil Kumar Mullapudi
Computer Science and Engineering Theses - Archive
Detecting and analyzing human activities in the home has the potential to improve monitoring of the inhabitants' health especially for elderly people. There are many approaches to detect and categorize human activities that have been applied to data from several devices such as cameras and tactile sensors. However, use of these sensors is not feasible in many places due to security and privacy concerns or because of users who may not be able to attach sensor to their body. Some of these issues can be addressed using less intrusive sensors such as a smart floor. A smart floor setup allows …
A Parallel Implementation Of Apriori Algorithm For Mining Frequent Itemsets In Hadoop Mapreduce Framework, Gokarna Neupane
A Parallel Implementation Of Apriori Algorithm For Mining Frequent Itemsets In Hadoop Mapreduce Framework, Gokarna Neupane
Computer Science and Engineering Theses - Archive
With explosive growth of data in past few years, discovering previously unknown, frequent patterns within the huge transactional data sets has been one of the most challenging and ventured fields in data mining. Apriori algorithm is widely used and one of the most researched field for frequent pattern mining. The exponential increase in the size of the input data has adverse effect on the efficiency of the traditional or centralized implementation of this algorithm. Thus, various distributed Frequent Itemset Mining(FIM) algorithms have been developed. MapReduce is a programming framework that allows the processing of large datasets with a distributed algorithm …
Person Identification And Anomaly Detection Using Gait Parameters Extracted From Time Series Data, Suhas Mandikal Rama Krishna Reddy
Person Identification And Anomaly Detection Using Gait Parameters Extracted From Time Series Data, Suhas Mandikal Rama Krishna Reddy
Computer Science and Engineering Theses - Archive
Gait generally refers to the style of walk and is influenced by a number of parameters and conditions. In particular, chronic and temporary health conditions often influence gait patterns. As such conditions increase with age, changes in gait pattern and gait disorders become more common. Changes in the walking pattern in the elderly can suggest neurological problems or age related problems that influence the walk. For example, individuals with parkinsonian and vascular dementias generally display gait disorders. Similarly, short term changes in muscle tone, strength, and overall condition can reflect in gait parameters. Analysis of the gait for abnormal walk …
A Probabilistic Approach To Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons, Nigesh Shakya
A Probabilistic Approach To Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons, Nigesh Shakya
Computer Science and Engineering Theses - Archive
This is an extended study on crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons. The prior study on the same topic demonstrate the framework and algorithms used to determine all the Pareto-Optimal objects with the goal of asking the fewest possible questions to the crowd. One of the drawbacks in that approach is it fails to incorporate every inputs given by the crowd and is biased towards the majority. We have developed an approach which represent the inputs provided by users as probabilistic values rather than a concrete one. The goal of this study is to find the ranks of the …
Crowdsourcing For Decision Making With Analytic Hierarchy Process, Ishwor Timilsina
Crowdsourcing For Decision Making With Analytic Hierarchy Process, Ishwor Timilsina
Computer Science and Engineering Theses - Archive
Analytic Hierarchy Process (AHP) is a Multiple-Criteria Decision-Making MCDM) technique devised by Thomas L. Saaty. In AHP, all the pairwise comparisons between criteria and alternatives in terms of each criterion are used to calculate global rankings of the alternatives. In the classic AHP, the comparisons are provided collectively by a small group of decision makers. We have formulated a technique to incorporate crowd-sourced inputs into AHP. Instead of taking just one comparison for each pair of criteria or alternatives, multiple users are asked to provide inputs. As in AHP, our approach also supports consistency check of the comparison matrices. The …
Auto-Roi System: Automatic Localization Of Roi In Gigapixel Whole-Slide Images, Shirong Xue
Auto-Roi System: Automatic Localization Of Roi In Gigapixel Whole-Slide Images, Shirong Xue
Computer Science and Engineering Theses - Archive
Digital Pathology is a very promising approach to diagnostic medicine to accomplish better, faster prognosis and prediction of cancer. The high-resolution whole slide imaging (WSI) can be analyzed on any computer, easily stored, and quickly shared. However, a digital WSI is quite large, like over 1M pixels by 1M pixels (3TB), depending on the tissue and the biopsy type. Automatic localization of regions of interest (ROIs) is important because it decreases the computational load and improves the diagnostic accuracy. Some popular applications in the market already support in viewing and marking the ROIs, such as ImageScope, OpenSlide, and ImageJ. However, …
An Mrql Visualizer Using Json Integration, Rohit Bhawal
An Mrql Visualizer Using Json Integration, Rohit Bhawal
Computer Science and Engineering Theses - Archive
In today’s world where there is no limit to the amount of data being collected from IOT devices, social media platforms, and other big data applications, there is a need for systems to process them efficiently and effortlessly. Analyzing the data to identify trends, detect patterns and find other valuable information is critical for any business application. The analyzed data when produced in visual format like graphs, enables one to grasp difficult concepts or identify new patterns easily. MRQL is an SQL-like query language for large scale data analysis built on top of Apache Hadoop, Spark, Flink and Hama which …
Learning From Wizard-Of-Oz Using Dynamic User Modeling, Tasnim Inayat Makada
Learning From Wizard-Of-Oz Using Dynamic User Modeling, Tasnim Inayat Makada
Computer Science and Engineering Theses - Archive
Socially assistive robotics (SAR) is a field of study that combines assistive robotics with socially interactive robotics where the goal of the robot is to provide assistance to human users through social interaction. The effectiveness of a SAR system basically depends on the user’s engagement in the interaction and the level of autonomy obtained by the system such that it requires no human intervention. The focus of this thesis is to build a SAR system that progressively learns to make autonomous decisions in an online manner, based on human input. An expert/therapist provides guidance to the system during the interaction …
Software Defined Load Balancing Over An Openflow-Enabled Network, Deepak Verma
Software Defined Load Balancing Over An Openflow-Enabled Network, Deepak Verma
Computer Science and Engineering Theses - Archive
In this modern age of the Internet, the amount of data flowing through networking channels has exploded exponentially. The network services and routing mechanism affect the scalability and performance of such networks. Software Defined Networks (SDN) is an upcoming network model which overcomes many challenges faced by traditional approaches. The basic principle of SDN is to separate the control plane and the data plane in network devices such as router and switches. This separation of concern allows a central controller to make the logical decisions by having an overall map of the network. SDN makes the network programmable and agile …
Predicting Human Behavior Based On Survey Response Patterns Using Markov And Hidden Markov Models, Arun Kumar Pokharna
Predicting Human Behavior Based On Survey Response Patterns Using Markov And Hidden Markov Models, Arun Kumar Pokharna
Computer Science and Engineering Theses - Archive
With technological advancements in World Wide Web (www), connecting with people for gathering information has become common. Among several ways, surveys are one of the most commonly used way of collecting information from people. Given a specific objective, multiple surveys are conducted to collect various pieces of information. This collected information, in the form of survey responses, can be categorical values or a descriptive text that represents information regarding the survey question. If additional details regarding the response behavior, scenario in which survey is being responded, or survey outcomes is available, machine learning and prediction modeling can be used to …
Linchpin: A Yaml Template Based Cross Cloud Resource Provisioning Tool, Samvaran Kashyap Rallabandi
Linchpin: A Yaml Template Based Cross Cloud Resource Provisioning Tool, Samvaran Kashyap Rallabandi
Computer Science and Engineering Theses - Archive
A cloud application developed, will have a specific requirement of particular cloud resources and software stack to be deployed to make it run. Resource templates enable the environment design and deployment required for an application. A template describes the infrastructure of the cloud application in a text file which includes servers, floating/public IP, storage volumes, etc. This approach is termed “Infrastructure as a code.” In Amazon public cloud, OpenStack private cloud, Google cloud these templates are called as cloud formation templates, HOT (Heat orchestration templates), Google cloud templates respectively. Though the existing template systems give a flexibility for the end …
Cloud Hopper: A Unified Cloud Solution To Manage Heterogeneous Clouds, Shraddha Jain
Cloud Hopper: A Unified Cloud Solution To Manage Heterogeneous Clouds, Shraddha Jain
Computer Science and Engineering Theses - Archive
Cloud environments are built on virtualization platforms which offer scalability, on-demand pricing, high performance, elasticity, easy accessibility of the resources and cost efficient services. Most of the small and large businesses use cloud computing to take advantage of these features. The usage of the cloud resources depends on the requirements of the organizations. With the advent of cloud computing, the traditional way of handling machines by the IT professionals has decreased. However, it leads to wastage of resources due to inadequate monitoring and improper management of resources. Often it happens that the cloud resources once deployed are forgotten, and they …
Machine Learning Based Datacenter Monitoring Framework, Ravneet Singh Sidhu
Machine Learning Based Datacenter Monitoring Framework, Ravneet Singh Sidhu
Computer Science and Engineering Theses - Archive
Monitoring the health of large data centers is a major concern with the ever-increasing demand of grid/cloud computing and the higher need of computational power. In a High Performance Computing (HPC) environment, the need to maintain high availability makes monitoring tasks and hardware more daunting and demanding. As data centers grow it becomes hard to manage the complex interactions between different systems. Many open source systems have been implemented which give specific state of any individual machine using Nagios, Ganglia or Torque monitoring software. In this work we focus on the detection and prediction of data center anomalies by using …
Mavroomie: An End-To-End Architecture For Finding Compatible Roommates Based On User Preferences, Vijendra Bhogadi
Mavroomie: An End-To-End Architecture For Finding Compatible Roommates Based On User Preferences, Vijendra Bhogadi
Computer Science and Engineering Theses - Archive
Team Formation is widely studied in literature as a method for forming teams or groups under certain constraints. However, very few works address the aspect of collaboration while forming groups under certain constraints. Motivated by the collaborative team formation, we try to extend the problem of team formation to a general problem in the real world scenario of finding compatible roommates to share a place. There are numerous applications like “roommates.com" ,”roomiematch.com" , “Roomi” which try to find roommates based on geographical and cost factors and ignore the important human factors which can play a substantial role in finding a …
Evaluation Of Html Tag Susceptibility To Statistical Fingerprinting For Use In Censorship Evasion, Kelly Scott French
Evaluation Of Html Tag Susceptibility To Statistical Fingerprinting For Use In Censorship Evasion, Kelly Scott French
Computer Science and Engineering Theses - Archive
The ability to speak freely has always been a source of conflict between rulers and the people over which they exert power. This conflict usually takes the form of State-sponsored censorship with occasional instances of commercial efforts typically to silence criticism or squelch dissent, and people's efforts to evade such censorship. This is even more so evident in the current environment with its ever-growing number of communication technologies and platforms available to individuals around the world. If the face of efforts to control communication before it is posted or to prevent the discovery of information that exists outside of the …
Remote Patient Monitoring Using Health Bands With Activity Level Prescription, Pranay Shirolkar
Remote Patient Monitoring Using Health Bands With Activity Level Prescription, Pranay Shirolkar
Computer Science and Engineering Theses - Archive
With the advent of new commercially available consumer grade fitness and health devices, it is now possible and very common for users to obtain, store, share and learn about some of their important physiological metrics such as steps taken, heart rate, quality of sleep and skin temperature. For devices with this wearable technology, it is common to find these sensors embedded in a smart watch, or dedicated wearable wrist bands such that among other functionalities of a wearable device, it is capable of smartly assisting users about their activity levels by leveraging the fact that these devices can be, and …
Searching And Classifying Mobile Application Screenshots, Adis Kovacevic
Searching And Classifying Mobile Application Screenshots, Adis Kovacevic
Computer Science and Engineering Theses - Archive
Searching for a particular application layout image is a challenging task. No search provider gives an adequate method to filter the query results to the look of a mobile application. Searching for a particular style of application requires lots of manual time sifting through the results returned. Search engines such as Google are too broad and return too many unrelated results without providing sufficient filters on things like category or layout type. This paper proposes a technique that would allow the searching and classifying of mobile application screenshots based on the layout of the content, the category of the application, …
Integration Of Apache Mrql Query Language With Apache Storm Realtime Computational System, Achyut Paudel
Integration Of Apache Mrql Query Language With Apache Storm Realtime Computational System, Achyut Paudel
Computer Science and Engineering Theses - Archive
The use of real time processing of data has increased in recent years with the increase of data captured by social media platforms, IOT and other big data applications. The processing of data in real time has been an important aspect of the day from finding the trends over the internet to fraud detection of in the banking transactions. Finding relevant information from large amount of data has always been a difficult problem to solve. MRQL is a query language that can be used on top of different big data platform such as Apache Hadoop, Flink, Hama, and Spark that …
Extracting And Modeling Useful Information From Videos For Supporting Continuous Queries, Manish Kumar Annappa
Extracting And Modeling Useful Information From Videos For Supporting Continuous Queries, Manish Kumar Annappa
Computer Science and Engineering Theses - Archive
Automating video stream processing for inferring situations of interest has been an ongoing challenge. This problem is currently exacerbated by the volume of surveillance/monitoring videos generated. Currently, manual or context-based customized techniques are used for this purpose. To the best to our knowledge the attempted work in this area use a custom query language to extract data and infer simple situations from the video streams, thus adding an additional overhead to learn their query language. Objective of the work in this thesis is to develop a framework that extracts data from video streams generating a data representation such that simple …
Cell Segmentation In Cancer Histopathology Images Using Convolutional Neural Networks, Viswanathan Kavassery Rajalingam
Cell Segmentation In Cancer Histopathology Images Using Convolutional Neural Networks, Viswanathan Kavassery Rajalingam
Computer Science and Engineering Theses - Archive
Cancer, the second most dreadful disease causing large scale deaths in humans is characterized by uncontrolled growth of cells in the human body and the ability of those cells to migrate from the original site and spread to distant sites. The major proportion of deaths in cancer is due to improper primary diagnosis that raises the need for Computer Aided Diagnosis (CAD). Digital Pathology is a technique that acts as second set of eyes to radiologists in delivering expert level preliminary diagnosis for cancer patients. Cell segmentation is a challenging step in digital pathology that identifies cell regions from micro-slide …
Convolutional And Recurrent Neural Networks For Pedestrian Detection, Vivek Arvind Balaji
Convolutional And Recurrent Neural Networks For Pedestrian Detection, Vivek Arvind Balaji
Computer Science and Engineering Theses - Archive
Pedestrian Detection in real time has become an interesting and a challenging problem lately. With the advent of autonomous vehicles and intelligent traffic monitoring systems, more time and money are being invested into detecting and locating pedestrians for their safety and towards achieving complete autonomy in vehicles. For the task of pedestrian detection, Convolutional Neural Networks (ConvNets) have been very promising over the past decade. ConvNets have a typical feed-forward structure and they share many properties with the visual system of the human brain. On the other hand, Recurrent Neural Networks (RNNs) are emerging as an important technique for image …
Learning Perception To Action Mapping For Functional Imitation, Bhupender Singh
Learning Perception To Action Mapping For Functional Imitation, Bhupender Singh
Computer Science and Engineering Theses - Archive
Imitation leaning is the learning of advanced behavior whereby an agent acquires a skill by observing another's behavior while performing the same skill. The main objective of imitation learning is to make robots usable for a variety of tasks without programming them but by simply demonstrating new tasks. The power of this approach arises since end users of such robots will frequently not know how to program the robot, might not understand the dynamics and behavioral capabilities of the system, and might not know how to program these robots to get different/new tasks done. Some challenges in achieving imitation capabilities …
Cloud Merge: Heterogeneous Cloud Application Migration Using Platform As A Service, Mayank Jain
Cloud Merge: Heterogeneous Cloud Application Migration Using Platform As A Service, Mayank Jain
Computer Science and Engineering Theses - Archive
With the evolution of cloud service providers offering numerous services such as SaaS, IaaS, PaaS, options for enterprises to choose the best set of services under optimal costs have also increased. The migration of web applications across these heterogeneous platforms comes with ample of options to choose from, providing users the flexibility to choose the best options suiting their requirements. This process of migration must be automated to ensure the security, performance and availability, keeping the cost to be optimal while moving the application from one platform to another. A multi-tier web application will have many dependencies such as the …
Improving Memorization And Long Term Recall Of System Assigned Passwords, Jayesh Doolani
Improving Memorization And Long Term Recall Of System Assigned Passwords, Jayesh Doolani
Computer Science and Engineering Theses - Archive
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 also assist users with memorization and recall. In this work, we have designed a novel technique that employs rote memorization inform of an engaging game, which is played during the account registration process. Based on prior work on chunking, we break a password into three equal chunks, and then the game helps plant those chunks in memory. We present the findings of 17 participant user-study, where we …
Evaluate The Use Of Fpga Soc For Real Time Data Acquisition And Aggregate Micro-Texture Measurement Using Laser Sensors, Mudit Pradhan
Evaluate The Use Of Fpga Soc For Real Time Data Acquisition And Aggregate Micro-Texture Measurement Using Laser Sensors, Mudit Pradhan
Computer Science and Engineering Theses - Archive
Aggregate texture has been found to play an important role in improving the longevity of highways and pavements. Aggregates with appropriate surface roughness level have an improved bonding with asphalt binder and concrete mixture to produce a more durable road surface. Macro-texture has been found to effect certain other important features of the road surface for example, the skid resistance, flow of water on the surface and noise of the tyre on road. However, more research need to done to access the impact of surface texture at micro-meter level. Accurate measurement of the micro-texture at high resolution and in real-time …
Lilac: The Second Generation Lightweight Low-Latency Anonymous Chat., Revanth Rao Pobala
Lilac: The Second Generation Lightweight Low-Latency Anonymous Chat., Revanth Rao Pobala
Computer Science and Engineering Theses - Archive
Instant messaging is one of the most used modes of communication and there are many instant messaging systems available online. Studies from the Electronic Frontier Foundation show that there are only a few instant messengers that keep your messages safe by providing ,security and limited anonymity. Lilac, a Lightweight Low-latency Anonymous Chat, is a secure instant messenger that provides security as well as better anonymity to users as compared to other messengers. It is a browser-based instant messaging system that uses Tor like a model to protect user anonymity. Compared to existing messengers, LILAC protects the users from tra?c analysis …
Comparison Of Machine Learning Algorithms In Suggesting Candidate Edges To Construct A Query On Heterogeneous Graphs, Rohit Ravi Kumar Bhoopalam
Comparison Of Machine Learning Algorithms In Suggesting Candidate Edges To Construct A Query On Heterogeneous Graphs, Rohit Ravi Kumar Bhoopalam
Computer Science and Engineering Theses - Archive
Querying graph data can be difficult as it requires the user to have knowledge of the underlying schema and the query language. Visual query builders allow users to formulate the intended query by drawing nodes and edges of the query graph, which can be translated into a database query. Visual query builders help users formulate the query without requiring the user to have knowledge of the query language and the underlying schema. To the best of our knowledge, none of the currently available visual query builders suggest users what nodes/edges to include into their query graph. We provide suggestions to …
Robotics Curriculum For Education In Arlington: Experiential, Simple And Engaging Learning Opportunity For Low-Income K-12 Students, Sharath Vasanthakumar
Robotics Curriculum For Education In Arlington: Experiential, Simple And Engaging Learning Opportunity For Low-Income K-12 Students, Sharath Vasanthakumar
Computer Science and Engineering Theses - Archive
Engineering disciplines (such as biomedical, civil, computer science, electrical, mechanical) are instrumental to society’s wellbeing and technological competitiveness; however the interest of K-12 American students in these and other engineering fields is fading. To broaden the base of engineers for the future, it is critical to excite young minds about STEM. Research that is easily visible to K-12 students, including underserved and minority population with limited access to technology, is crucial in igniting their interests in STEM fields. More specifically, research topics that involve interactive elements such as Robots may be instrumental for K-12 education in and outside classroom. Robots …