Preliminary Investigation Of Walking Motion Using A Combination Of Image And Signal Processing, 2016 Wright State University - Main Campus
Preliminary Investigation Of Walking Motion Using A Combination Of Image And Signal Processing, Bradley Schneider, Tanvi Banerjee
We present the results of analyzing gait motion in first-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera as well as validated using the ground truth dataset. Our preliminary results indicate that the extraction of activity from the video ...
Using A Real-Time Object Detection Application To Illustrate Effectiveness Of Offloading And Prefetching In Cloudlet Architecture, 2016 The University of Western Ontario
Using A Real-Time Object Detection Application To Illustrate Effectiveness Of Offloading And Prefetching In Cloudlet Architecture, Xutong Zhu
Electronic Thesis and Dissertation Repository
In this thesis, we designed and implemented two versions of a real-time object de- tection application: A stand alone version and a cloud version. Through applying the application to a cloudlet environment, we are able to perform experiments and uses the results to illustrate the potential improvement that a cloudlet architecture can bring to mobile applications that require access to large amounts of cloud data or intensive com- putation. Potential improvements include data access speed, reduced CPU and memory usages as well as reduced battery consumption on mobile devices.
Hifocap: An Android App For Wearable Health Devices, 2016 University of Texas at El Paso
Hifocap: An Android App For Wearable Health Devices, Yoonsik Cheon, Rodrigo A. Romero
Departmental Technical Reports (CS)
Android is becoming a platform for mobile health-care devices and apps. However, there are many challenges in developing soft real-time, health-care apps for non-dedicated mobile devices such as smartphones and tablets. In this paper we share our experiences in developing the HifoCap app, a mobile app for receiving electroencephalogram (EEG) wave samples from a wearable device, visualizing the received EEG samples, and transmitting them to a cloud storage server. The app is network and data-intensive. We describe the challenges we faced while developing the HifoCap app---e.g., ensuring the soft real-time requirement in the presence of uncertainty on the Android ...
Dynamic Machine Level Resource Allocation To Improve Tasking Performance Across Multiple Processes, 2016 Boise State University
Dynamic Machine Level Resource Allocation To Improve Tasking Performance Across Multiple Processes, Richard Walter Thatcher
Boise State University Theses and Dissertations
Across the landscape of computing, parallelism within applications is increasingly important in order to track advances in hardware capability and meet critical performance metrics. However, writing parallel applications is difficult to do in a scalable way, which has led to the creation of tasking libraries and language extensions like OpenMP, Intel Threading Building Blocks, Qthreads, and more. These tools abstract parallel execution by expressing it in terms of work units (tasks) rather than specific hardware details. This abstraction enables scaling and allows programmers to write software solutions that can leverage whatever level of parallelism is available.However, the typical task ...
Reducing Power Consumption And Latency In Mobile Devices Using A Push Event Stream Model, Kernel Display Server, And Gui Scheduler, 2016 University of Tennessee, Knoxville
Reducing Power Consumption And Latency In Mobile Devices Using A Push Event Stream Model, Kernel Display Server, And Gui Scheduler, Stephen Gregory Marz
The power consumed by mobile devices can be dramatically reduced by improving how mobile operating systems handle events and display management. Currently, mobile operating systems use a pull model that employs a polling loop to constantly ask the operating system if an event exists. This constant querying prevents the CPU from entering a deep sleep, which unnecessarily consumes power.
We’ve improved this process by switching to a push model which we refer to as the event stream model (ESM). This model leverages modern device interrupt controllers which automatically notify an application when events occur, thus removing the need to ...
User Identity Linkage By Latent User Space Modelling, 2016 Singapore Management University
User Identity Linkage By Latent User Space Modelling, Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou
Research Collection School Of Information Systems
User identity linkage across social platforms is an important problem of great research challenge and practical value. In real applications, the task often assumes an extra degree of difficulty by requiring linkage across multiple platforms. While pair-wise user linkage between two platforms, which has been the focus of most existing solutions, provides reasonably convincing linkage, the result depends by nature on the order of platform pairs in execution with no theoretical guarantee on its stability. In this paper, we explore a new concept of “Latent User Space” to more naturally model the relationship between the underlying real users and their ...
What Motivates High School Students To Take Precautions Against The Spread Of Influenza? A Data Science Approach To Latent Modeling Of Compliance With Preventative Practice, 2016 Wright State University - Main Campus
What Motivates High School Students To Take Precautions Against The Spread Of Influenza? A Data Science Approach To Latent Modeling Of Compliance With Preventative Practice, William L. Romine, Tanvi Banerjee, William R. Folk, Lloyd H. Barrow
– This study focuses on a central question: What key behavioral factors influence high school students’ compliance with preventative measures against the transmission of influenza? We use multilevel logistic regression to equate logit measures for eight precautions to students’ latent compliance levels on a common scale. Using linear regression, we explore the efficacy of knowledge of influenza, affective perceptions about influenza and its prevention, prior illness, and gender in predicting compliance. Hand washing and respiratory etiquette are the easiest precautions for students, and hand sanitizer use and keeping the hands away from the face are the most difficult. Perceptions of barriers ...
Optimizing Main Memory Usage In Modern Computing Systems To Improve Overall System Performance, 2016 Florida International University
Optimizing Main Memory Usage In Modern Computing Systems To Improve Overall System Performance, Daniel Jose Campello
FIU Electronic Theses and Dissertations
Operating Systems use fast, CPU-addressable main memory to maintain an application’s temporary data as anonymous data and to cache copies of persistent data stored in slower block-based storage devices. However, the use of this faster memory comes at a high cost. Therefore, several techniques have been implemented to use main memory more efficiently in the literature. In this dissertation we introduce three distinct approaches to improve overall system performance by optimizing main memory usage.
First, DRAM and host-side caching of file system data are used for speeding up virtual machine performance in today’s virtualized data centers. The clustering ...
A Region-Centric Analysis Of The Internet Peering Ecosystem, 2016 Iowa State University
A Region-Centric Analysis Of The Internet Peering Ecosystem, Rajesh Putta Venkata, Lu Ruan
Computer Science Technical Reports
The Internet is transitioning from a hierarchical structure to a flat structure where more and more networks participate in public peering at IXPs and private peering at interconnection facilities to increase performance and reduce transit costs. PeeringDB is a public online database containing information about IXPs, facilities, and networks participating at IXPs and facilities. In this paper, we perform an in-depth analysis of the PeeringDB data to gain an understanding of the public and private peering ecosystems in the five regions of the world (i.e., North America, Europe, Asia Pacific, Latin America, and Africa). We study how IXPs, facilities ...
Raspberry Pi Vpn Travel Router, 2016 California Polytechnic State University, San Luis Obispo
Raspberry Pi Vpn Travel Router, Daniel S. Pierson
Consumers are increasingly relying on public wireless hotspots to access the internet from a growing number of devices. Usage of these hotspots has expanded from just laptops to everything from iPhones to tablets, which are expected to be internet-connected for full functionality. It has become common for one to check if there’s an open wireless hotspot connection available at places like coffee shops, hotels, restaurants, or even a doctor’s waiting room. The issue that arises is that these public connections present an inherent security risk, as anyone can connect and gain access to the network. For increased security ...
Packet Filter Approach To Detect Denial Of Service Attacks, 2016 California State University, San Bernardino
Packet Filter Approach To Detect Denial Of Service Attacks, Essa Yahya M Muharish
Electronic Theses, Projects, and Dissertations
Denial of service attacks (DoS) are a common threat to many online services. These attacks aim to overcome the availability of an online service with massive traffic from multiple sources. By spoofing legitimate users, an attacker floods a target system with a high quantity of packets or connections to crash its network resources, bandwidth, equipment, or servers. Packet filtering methods are the most known way to prevent these attacks via identifying and blocking the spoofed attack from reaching its target. In this project, the extent of the DoS attacks problem and attempts to prevent it are explored. The attacks categories ...
Hp Laserjet 2015 Pcl5 Printer Driver, 2016 ICIT, Gomal University, Dera Ismail Khan
Hp Laserjet 2015 Pcl5 Printer Driver, Dr. Muhammad Zubair Asghar
Dr. Muhammad Zubair Asghar
Concurrent Compaction In Jvm Garbage Collection, 2016 University of Minnesota, Morris
Concurrent Compaction In Jvm Garbage Collection, Jacob P. Opdahl
Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal
This paper provides a brief overview of both garbage collection (GC) of memory and parallel processing. We then cover how parallel processing applies to GC. Specifically, these concepts are focused within the context of the Java Virtual Machine (JVM). With that foundation, we look at various algorithms that perform compaction of fragmented memory during the GC process. These algorithms are designed to run concurrent to the application running. Such concurrently compacting GC behavior stems from a desire to reduce \stop-the-world" pauses of an application.
An Immersive Telepresence System Using Rgb-D Sensors And Head-Mounted Display, 2016 University of Dayton
An Immersive Telepresence System Using Rgb-D Sensors And Head-Mounted Display, Xinzhong Lu, Ju Shen, Saverio Perugini, Jianjun Yang
We present a tele-immersive system that enables people to interact with each other in a virtual world using body gestures in addition to verbal communication. Beyond the obvious applications, including general online conversations and gaming, we hypothesize that our proposed system would be particularly beneficial to education by offering rich visual contents and interactivity. One distinct feature is the integration of egocentric pose recognition that allows participants to use their gestures to demonstrate and manipulate virtual objects simultaneously. This functionality enables the instructor to effectively and efficiently explain and illustrate complex concepts or sophisticated problems in an intuitive manner. The ...
On The Limits And Practice Of Automatically Designing Self-Stabilization, 2016 Michigan Technological University
On The Limits And Practice Of Automatically Designing Self-Stabilization, Alex Klinkhamer
Dissertations, Master's Theses and Master's Reports
A protocol is said to be self-stabilizing when the distributed system executing it is guaranteed to recover from any fault that does not cause permanent damage. Designing such protocols is hard since they must recover from all possible states, therefore we investigate how feasible it is to synthesize them automatically. We show that synthesizing stabilization on a fixed topology is NP-complete in the number of system states. When a solution is found, we further show that verifying its correctness on a general topology (with any number of processes) is undecidable, even for very simple unidirectional rings. Despite these negative results ...
Maia And Mandos: Tools For Integrity Protection On Arbitrary Files, 2016 Michigan Technological University
Maia And Mandos: Tools For Integrity Protection On Arbitrary Files, Paul J. Bonamy
Dissertations, Master's Theses and Master's Reports
We present the results of our dissertation research, which focuses on practical means of protecting system data integrity. In particular, we present Maia, a language for describing integrity constraints on arbitrary file types, and Mandos, a Linux Security Module which uses verify-on-close to enforce mandatory integrity guarantees. We also provide details of a Maia-based verifier generator, demonstrate that Maia and Mandos introduce minimal delay in performing their tasks, and include a selection of sample Maia specifications.
Effective Performance Analysis And Debugging, 2016 University of Massachusetts - Amherst
Effective Performance Analysis And Debugging, Charles M. Curtsinger
Doctoral Dissertations May 2014 - current
Performance is once again a first-class concern. Developers can no longer wait for the next generation of processors to automatically "optimize" their software. Unfortunately, existing techniques for performance analysis and debugging cannot cope with complex modern hardware, concurrent software, or latency-sensitive software services.
While processor speeds have remained constant, increasing transistor counts have allowed architects to increase processor complexity. This complexity often improves performance, but the benefits can be brittle; small changes to a program’s code, inputs, or execution environment can dramatically change performance, resulting in unpredictable performance in deployed software and complicating performance evaluation and debugging. Developers seeking ...
A Study Of Social Web Data On Buprenorphine Abuse Using Semantic Web Technology, 2016 Wright State University - Main Campus
A Study Of Social Web Data On Buprenorphine Abuse Using Semantic Web Technology, Raminta Daniulaityte, Amit P. Sheth
The Specific Aims of this application are to use a paradigmatic approach that combines Semantic Web technology, Natural Language Processing and Machine Learning techniques to:
1) Describe drug users’ knowledge, attitudes, and behaviors related to the non-medical use of Suboxone and Subutex as discussed on Web-based forums.
2) Identify and describe temporal patterns of non-medical use of Suboxone and Subutex as discussed on Web-based forums.
The research was carried out by an interdisciplinary team of members of the Center for Interventions, Treatment and Addictions Research (CITAR) and the Ohio Center of Excellence in Knowledge- enabled Computing (Kno.e.sis) at ...
Application-Aware Resource Management For Cloud Platforms, 2016 University of Massachusetts Amherst
Application-Aware Resource Management For Cloud Platforms, Xin He
Doctoral Dissertations May 2014 - current
Cloud computing has become increasingly popular in recent years. The benefits of cloud platforms include ease of application deployment, a pay-as-you-go model, and the ability to scale resources up or down based on an application's workload. Today's cloud platforms are being used to host increasingly complex distributed and parallel applications. The main premise of this thesis is that application-aware resource management techniques are better suited for distributed cloud applications over a systems-level one-size-fits-all approach. In this thesis, I study the cloud-based resource management techniques with a particular emphasis on how application-aware approaches can be used to improve system ...
Secure And Authenticated Message Dissemination In Vehicular Ad Hoc Networks And An Incentive-Based Architecture For Vehicular Cloud, Kiho Lim
Theses and Dissertations--Computer Science
Vehicular ad hoc Networks (VANETs) allow vehicles to form a self-organized network. VANETs are likely to be widely deployed in the future, given the interest shown by industry in self-driving cars and satisfying their customers various interests. Problems related to Mobile ad hoc Networks (MANETs) such as routing, security, etc.have been extensively studied. Even though VANETs are special type of MANETs, solutions proposed for MANETs cannot be directly applied to VANETs because all problems related to MANETs have been studied for small networks. Moreover, in MANETs, nodes can move randomly. On the other hand, movement of nodes in VANETs ...