Characterizing And Improving Power And Performance In Hpc Networks, 2017 University of New Mexico
Characterizing And Improving Power And Performance In Hpc Networks, Taylor L. Groves
Computer Science ETDs
Networks are the backbone of modern HPC systems. They serve as a critical piece of infrastructure, tying together applications, analytics, storage and visualization. Despite this importance, we have not fully explored how evolving communication paradigms and network design will impact scientific workloads. As networks expand in the race towards Exascale (1×10^18 floating point operations a second), we need to reexamine this relationship so that the HPC community better understands (1) characteristics and trends in HPC communication; (2) how to best design HPC networks to save power or enhance the performance; (3) how to facilitate scalable, informed, and dynamic ...
Proactive And Reactive Strategies To Handle Surges In Urban Crowds, 2017 Singapore Management University
Proactive And Reactive Strategies To Handle Surges In Urban Crowds, Jiali Du
Dissertations and Theses Collection
Most urban infrastructures are built to cater a planned capacity, yet surges in usage do happen in times (can be either expected or unexpected), and this has long been a major challenge for urban planner. In this thesis, I propose to study approaches handle surges in urban crowd movement. In particular, the surges in demand studied are limited to situations where a large crowd of commuters/visitors gather in a small vicinity, and I am concerned with their movements both within the vicinity and out of the vicinity (the egress from the vicinity). Significant crowd build-ups and congestions can be ...
An Investigation Into The Performance Evaluation Of Connected Vehicle Applications: From Real-World Experiment To Parallel Simulation Paradigm, 2017 East Tennessee State University
An Investigation Into The Performance Evaluation Of Connected Vehicle Applications: From Real-World Experiment To Parallel Simulation Paradigm, Md Salman Ahmed
Electronic Theses and Dissertations
A novel system was developed that provides drivers lane merge advisories, using vehicle trajectories obtained through Dedicated Short Range Communication (DSRC). It was successfully tested on a freeway using three vehicles, then targeted for further testing, via simulation. The failure of contemporary simulators to effectively model large, complex urban transportation networks then motivated further research into distributed and parallel traffic simulation. An architecture for a closed-loop, parallel simulator was devised, using a new algorithm that accounts for boundary nodes, traffic signals, intersections, road lengths, traffic density, and counts of lanes; it partitions a sample, Tennessee road network more efficiently than ...
A Neural Network Model For Semi-Supervised Review Aspect Identification, 2017 Singapore Management University
A Neural Network Model For Semi-Supervised Review Aspect Identification, Ying Ding, Changlong Yu, Jing Jiang
Research Collection School Of Information Systems
Aspect identification is an important problem in opinion mining. It is usually solved in an unsupervised manner, and topic models have been widely used for the task. In this work, we propose a neural network model to identify aspects from reviews by learning their distributional vectors. A key difference of our neural network model from topic models is that we do not use multinomial word distributions but instead embedding vectors to generate words. Furthermore, to leverage review sentences labeled with aspect words, a sequence labeler based on Recurrent Neural Networks (RNNs) is incorporated into our neural network. The resulting model ...
Socket Golf - Building A Google Cardboard Game In Unity, 2017 University of Wyoming
Socket Golf - Building A Google Cardboard Game In Unity, Caleb P. Carlson
Honors Theses AY 16/17
Virtual reality is a new and emerging technology in the field of computer science designed to immerse the consumer into the product. To study and learn more about this technology, a four-person team of graduating seniors set out to build a mobile game for Google Cardboard. The game that was created uses the Unity game engine along with Unity multiplayer servers for the development tools. The application was designed to be run using both a Google Cardboard headset and an android controller to allow the user to control the game without removing themselves from the immersive experience.
The idea for ...
Monitoring The Dark Web And Securing Onion Services, 2017 CUNY Queensborough Community College
Monitoring The Dark Web And Securing Onion Services, John Schriner
Publications and Research
This paper focuses on how researchers monitor the Dark Web. After defining what onion services and Tor are, we discuss tools for monitoring and securing onion services. As Tor Project itself is research-driven, we find that the development and use of these tools help us to project where use of the Dark Web is headed.
Eassistant: Cognitive Assistance For Identification And Auto-Triage Of Actionable Conversations, 2017 Wright State University - Main Campus
Eassistant: Cognitive Assistance For Identification And Auto-Triage Of Actionable Conversations, Hamid R. Motahari Nezhad, Kalpa Gunaratna, Juan Cappi
The browser and screen have been the main user interfaces of the Web and mobile apps. The notification mechanism is an evolution in the user interaction paradigm by keeping users updated without checking applications. Conversational agents are posed to be the next revolution in user interaction paradigms. However, without intelligence on the triage of content served by the interaction and content differentiation in applications, interaction paradigms may still place the burden of information overload on users. In this paper, we focus on the problem of intelligent identification of actionable information in the content served by applications, and in particular in ...
What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, And Prevention, 2017 Wright State University - Main Campus
What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, And Prevention, Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William L. Romine, Amit Sheth
Background: In order to harness what people are tweeting about Zika, there needs to be a computational framework that leverages machine learning techniques to recognize relevant Zika tweets and, further, categorize these into disease-specific categories to address specific societal concerns related to the prevention, transmission, symptoms, and treatment of Zika virus.
Objective: The purpose of this study was to determine the relevancy of the tweets and what people were tweeting about the 4 disease characteristics of Zika: symptoms, transmission, prevention, and treatment.
Methods: A combination of natural language processing and machine learning techniques was used to determine what people were ...
Java Server Reliability In The Presence Of Failures, 2017 Marquette University
Java Server Reliability In The Presence Of Failures, Rich Coe
Master's Theses (2009 -)
A design for the separation of a server interface and work processing. Numerous sources, Tanenbaum (Tanenbaum Modern Operating Systems, 493), Goscinski (Goscinski Distributed operating systems, 203), and Birman (Birman Reliable distributed systems, 265), all discuss the concept of Two-Phase Commit, where a coordinator directs one or more processes to perform a transaction. If the transaction or any of the processes fail, the coordinator can decide how to proceed by either retrying or aborting the request. The popular web browser Chrome utilizes a separate process for each tab displayed. Should the rendering and display of a web page cause a crash ...
An Indoor Navigation System Using A Sensor Fusion Scheme On Android Platform, 2017 Marquette University
An Indoor Navigation System Using A Sensor Fusion Scheme On Android Platform, Jiayi Xin
Master's Theses (2009 -)
With the development of wireless communication networks, smart phones have become a necessity for people’s daily lives, and they meet not only the needs of basic functions for users such as sending a message or making a phone call, but also the users’ demands for entertainment, surfing the Internet and socializing. Navigation functions have been commonly utilized, however the navigation function is often based on GPS (Global Positioning System) in outdoor environments, whereas a number of applications need to navigate indoors. This paper presents a system to achieve high accurate indoor navigation based on Android platform. To do this ...
A Comprehensive Context-Aware Interruption Management System, 2017 Marquette University
A Comprehensive Context-Aware Interruption Management System, April Chunjiao Song
Master's Theses (2009 -)
The interruption system is an application that prevents the user from noticing phone calls when he/she is busy, by turning off the ringtone. In a previous project, the user can enter his/her class and work schedule on Google Calendar. The intelligent interruption system can detect if the current time matches the range of one of the events in the user's Google Calendar. Other contexts considered were: driving, relationship of the callers, and proximity of Bluetooth devices. This project is a continuation of the interruption system. We consider additional context, social media such as Twitter. Research is done ...
Network-On-Chip Based H.264 Video Decoder On A Field Programmable Gate Array, 2017 Marquette University
Network-On-Chip Based H.264 Video Decoder On A Field Programmable Gate Array, Ian Barge
Master's Theses (2009 -)
This thesis develops the first fully network-on-chip (NoC) based h.264 video decoder implemented in real hardware on a field programmable gate array (FPGA). This thesis starts with an overview of the h.264 video coding standard and an introduction to the NoC communication paradigm. Following this, a series of processing elements (PEs) are developed which implement the component algorithms making up the h.264 video decoder. These PEs, described primarily in VHDL with some Verilog and C, are then mapped to an NoC which is generated using the CONNECT NoC generation tool. To demonstrate the scalability of the proposed ...
Characterizing Malicious Android Apps By Mining Topic-Specific Data Flow Signatures, 2017 Singapore Management University
Characterizing Malicious Android Apps By Mining Topic-Specific Data Flow Signatures, Xinli Yang, David Lo, Li Li, Xin Xia, Tegawendé F. Bissyande, Jacques Klein
Research Collection School Of Information Systems
Context: State-of-the-art works on automated detection of Android malware have leveraged app descriptionsto spot anomalies w.r.t the functionality implemented, or have used data flow information as afeature to discriminate malicious from benign apps. Although these works have yielded promising performance,we hypothesize that these performances can be improved by a better understanding of maliciousbehavior.Objective: To characterize malicious apps, we take into account both information on app descriptions,which are indicative of apps’ topics, and information on sensitive data flow, which can be relevant todiscriminate malware from benign apps.Method: In this paper, we propose a topic-specific approach ...
Robust Optimization For Tree-Structured Stochastic Network Design, 2017 Singapore Management University
Robust Optimization For Tree-Structured Stochastic Network Design, Xiaojian Wu, Akshat Kumar, Daniel Sheldon
Research Collection School Of Information Systems
Stochastic network design is a general framework for optimizing network connectivity. It has several applications in computational sustainability including spatial conservation planning, pre-disaster network preparation, and river network optimization. A common assumption in previous work has been made that network parameters (e.g., probability of species colonization) are precisely known, which is unrealistic in real- world settings. We therefore address the robust river network design problem where the goal is to optimize river connectivity for fish movement by removing barriers. We assume that fish passability probabilities are known only imprecisely, but are within some interval bounds. We then develop a ...
Developments Of 5g Technology, 2017 Governors State University
Developments Of 5g Technology, Ankit Nilesh Ganatra
All Student Theses
This technology is the future of current LTE technology which would be a boost to the future of wireless and computer networks, as the speeds would be way higher than the current LTE networks, which will push the technology to a new level. This technology will make the radio channels to support data access speeds up to 10 Gb/s which will turn the bandwidth radio channels as WiFi. Comparing it with other LTE technology's it has high speed and capacity, support interactive multimedia, voice, internet and its data rate is 1 Gbps which makes it faster than other ...
Road Accidents Bigdata Mining And Visualization Using Support Vector Machines, 2017 Wright State University - Main Campus
Road Accidents Bigdata Mining And Visualization Using Support Vector Machines, Usha Lokala, Srinivas Nowduri, Prabhakar K. Sharma
Useful information has been extracted from the road accident data in United Kingdom (UK), using data analytics method, for avoiding possible accidents in rural and urban areas. This analysis make use of several methodologies such as data integration, support vector machines (SVM), correlation machines and multinomial goodness. The entire datasets have been imported from the traffic department of UK with due permission. The information extracted from these huge datasets forms a basis for several predictions, which in turn avoid unnecessary memory lapses. Since data is expected to grow continuously over a period of time, this work primarily proposes a new ...
Identifying Depressive Disorder In The Twitter Population, 2017 Wright State University - Main Campus
Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth
Depression is a highly prevalent public health challenge and a major cause of disability across the globe.
- Annually 6.7% of Americans (that is, more than 16 million).
- Traditional approaches to curb depression involve survey·based methods via phone or online questionnaires.
- Large temporal gaps and cognitive bias.
Social media provides a method for learning users' feelings, emotions, behaviors, and decisions in real-time.
A Semantics-Based Measure Of Emoji Similarity, 2017 Wright State University - Main Campus
A Semantics-Based Measure Of Emoji Similarity, Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran
Emoji have grown to become one of the most important forms of communication on the web. With its widespread use, measuring the similarity of emoji has become an important problem for contemporary text processing since it lies at the heart of sentiment analysis, search, and interface design tasks. This paper presents a comprehensive analysis of the semantic similarity of emoji through embedding models that are learned over machine-readable emoji meanings in the EmojiNet knowledge base. Using emoji descriptions, emoji sense labels and emoji sense definitions, and with different training corpora obtained from Twitter and Google News, we develop and test ...
A Novel Approach For Classifying Gene Expression Data Using Topic Modeling, 2017 Wright State University - Main Campus
A Novel Approach For Classifying Gene Expression Data Using Topic Modeling, Soon Jye Kho, Himi Yalamanchili, Michael L. Raymer, Amit Sheth
Understanding the role of differential gene expression in cancer etiology and cellular process is a complex problem that continues to pose a challenge due to sheer number of genes and inter-related biological processes involved. In this paper, we employ an unsupervised topic model, Latent Dirichlet Allocation (LDA) to mitigate overfitting of high-dimensionality gene expression data and to facilitate understanding of the associated pathways. LDA has been recently applied for clustering and exploring genomic data but not for classification and prediction. Here, we proposed to use LDA inclustering as well as in classification of cancer and healthy tissues using lung cancer ...
Relatedness-Based Multi-Entity Summarization, 2017 Wright State University - Main Campus
Relatedness-Based Multi-Entity Summarization, Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng
Representing world knowledge in a machine processable format is important as entities and their descriptions have fueled tremendous growth in knowledge-rich information processing platforms, services, and systems. Prominent applications of knowledge graphs include search engines (e.g., Google Search and Microsoft Bing), email clients (e.g., Gmail), and intelligent personal assistants (e.g., Google Now, Amazon Echo, and Apple’s Siri). In this paper, we present an approach that can summarize facts about a collection of entities by analyzing their relatedness in preference to summarizing each entity in isolation. Specifically, we generate informative entity summaries by selecting: (i) inter-entity facts ...