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Bim+Blockchain: A Solution To The Trust Problem In Collaboration?, Malachy Mathews, Dan Robles, Brian Bowe 2017 Dublin Institute of Technology

Bim+Blockchain: A Solution To The Trust Problem In Collaboration?, Malachy Mathews, Dan Robles, Brian Bowe

Conference papers

This paper provides an overview of historic and current organizational limitations emerging in the Architecture, Engineering, Construction, Building Owner / Operations (AECOO) Industry. It then provides an overview of new technologies that attempt to mitigate these limitations. However, these technologies, taken together, appear to be converging and creating entirely new organizational structures in the AEC industries. This may be characterized by the emergence of what is called the Network Effect and it’s related calculus. This paper culminates with an introduction to Blockchain Technology (BT) and it’s integration with the emergence of groundbreaking technologies such as Internet of Things (IoT ...


Lmproving Microcontroller And Computer Architecture Education Through Software Simulation, Kevin Brightwell 2017 The University of Western Ontario

Lmproving Microcontroller And Computer Architecture Education Through Software Simulation, Kevin Brightwell

Electronic Thesis and Dissertation Repository

In this thesis, we aim to improve the outcomes of students learning Computer Architecture and Embedded Systems topics within Software and Computer Engineering programs. We develop a simulation of processors that attempts to improve the visibility of hardware within the simulation environment and replace existing solutions in use within the classroom. We designate a series of requirements of a successful simulation suite based on current state-of-the-art simulations within literature. Provided these requirements, we build a quantitative rating of the same set of simulations. Additionally, we rate our previously implemented tool, hc12sim, with current solutions. Using the gaps in implementations from ...


Resource Estimation For Large Scale, Real-Time Image Analysis On Live Video Cameras Worldwide, Caleb Tung, Yung-Hsiang Lu, Anup Mohan 2017 Purdue University

Resource Estimation For Large Scale, Real-Time Image Analysis On Live Video Cameras Worldwide, Caleb Tung, Yung-Hsiang Lu, Anup Mohan

The Summer Undergraduate Research Fellowship (SURF) Symposium

Thousands of public cameras live-stream an abundance of data to the Internet every day. If analyzed in real-time by computer programs, these cameras could provide unprecedented utility as a global sensory tool. For example, if cameras capture the scene of a fire, a system running image analysis software on their footage in real-time could be programmed to react appropriately (perhaps call firefighters). No such technology has been deployed at large scale because the sheer computing resources needed have yet to be determined. In order to help us build computer systems powerful enough to achieve such lifesaving feats, we developed a ...


Energy And Performance Balancing Architecture For Asynchronous Data Processing Platforms, Chien-Wei Lo 2017 University of Arkansas, Fayetteville

Energy And Performance Balancing Architecture For Asynchronous Data Processing Platforms, Chien-Wei Lo

Theses and Dissertations

The semiconductor industry has been increasingly focused on the energy consumption and heat generation in CMOS-based integrated circuits (ICs) for its dominating impact on the system performance and reliability. Without clock-related timing constraints, asynchronous circuits have demonstrated unique flexibility in performance-energy tradeoffs compared to synchronous designs. This dissertation work presents the architecture capable of balancing energy and performance for asynchronous digital signal processing circuits using the Multi-Threshold NULL Convention Logic (MTNCL). Architecture implementing user-configurable adaptive dynamic voltage scaling (DVS) and data processing core disabling based on the detection and parameterization of system throughput are developed for MTNCL parallel homogeneous and ...


基于 Opencv 的道路视频分析系统, 2017 Selected Works

基于 Opencv 的道路视频分析系统

JIN LIU

 The vehicle detection system in current use widely uses host to centrally process images passed back to the server, and it thus has shortcomings, such as large output data, long processing time and so on. This paper proposes a constructing plan using embedded hardware platform according to the composition of ITS system. The video image is emphatically analyzed, and the tracking algorithm is also optimized. The basic image processing tool OpenCV is used to select the preferable edge algorithm by comparing the canny operator and sobel operator. Considering smearing, the background is extracted with the improved averaging method (take interval ...


One-To-Cloud One-Time Pad Data Encryption: Introducing Virtual Prototyping With Pspice, Paul Tobin, Lee Tobin, Roberto Gandia Blanquer DR, Michael McKeever, Jonathan Blackledge Professor 2017 Dublin Institute of Technology

One-To-Cloud One-Time Pad Data Encryption: Introducing Virtual Prototyping With Pspice, Paul Tobin, Lee Tobin, Roberto Gandia Blanquer Dr, Michael Mckeever, Jonathan Blackledge Professor

Conference papers

In this paper, we examine the design and application of a one-time pad encryption system for protecting data stored in the Cloud. Personalising security using a one-time pad generator at the client-end protects data from break-ins, side-channel attacks and backdoors in public encryption algorithms. The one-time pad binary sequences were obtained from modified analogue chaos oscillators initiated by noise and encoded client data locally. Specific ``one-to-Cloud'' storage applications returned control back to the end user but without the key distribution problem normally associated with one-time pad encryption. Development of the prototype was aided by ``Virtual Prototyping'' in the latest version ...


Developing A Distributed Java-Based Speech Recognition Engine, Tony Ayers, Brian Nolan 2017 Institute of Technology Blanchardstown

Developing A Distributed Java-Based Speech Recognition Engine, Tony Ayers, Brian Nolan

The ITB Journal

The development of speech recognition engines has traditionally been the territory of low-level development languages such as C. Until recently Java may not have been considered a candidate language for the development of such a speech engine, due to its security restrictions which limited its sound processing features. The release of the Java Sound API as part of the Java Media Framework and the subsequent integration of the Sound API into the standard Java development kit provides the necessary sound processing tools to Java to perform speech recognition. This paper documents our development of a speech recognition engine using the ...


Mr. Mix: The Automated Home Bartender, Brian Moore, Robert Hulbert 2017 California Polytechnic State University, San Luis Obispo

Mr. Mix: The Automated Home Bartender, Brian Moore, Robert Hulbert

Computer Engineering

No abstract provided.


An Analysis Of Heroku And Aws For Growing Startups, Colton B. Stapper 2017 California Polytechnic State University, San Luis Obispo

An Analysis Of Heroku And Aws For Growing Startups, Colton B. Stapper

Computer Science

This project presents information on the architecture of most modern cloud-hosting platforms, and gives a cost-benefit analysis of two common Platform-as-a-Service (PaaS) companies: Heroku and AWS.


Deepmon: Mobile Gpu-Based Deep Learning Framework For Continuous Vision Applications, Nguyen Loc HUYNH, Youngki LEE, Rajesh Krishna BALAN 2017 Singapore Management University

Deepmon: Mobile Gpu-Based Deep Learning Framework For Continuous Vision Applications, Nguyen Loc Huynh, Youngki Lee, Rajesh Krishna Balan

Research Collection School Of Information Systems

The rapid emergence of head-mounted devices such as the Microsoft Holo-lens enables a wide variety of continuous vision applications. Such applications often adopt deep-learning algorithms such as CNN and RNN to extract rich contextual information from the first-person-view video streams. Despite the high accuracy, use of deep learning algorithms in mobile devices raises critical challenges, i.e., high processing latency and power consumption. In this paper, we propose DeepMon, a mobile deep learning inference system to run a variety of deep learning inferences purely on a mobile device in a fast and energy-efficient manner. For this, we designed a suite ...


Children’S Social Network: Kids Club, Eiman Alrashoud 2017 California State University, San Bernardino

Children’S Social Network: Kids Club, Eiman Alrashoud

Electronic Theses, Projects, and Dissertations

Young children often have a profound interest that if nurtured, would develop to great social cues and skills thereby improving their social aspects of life. Parents can conveniently benefit from a swift data sharing in the collaborative scrutiny of their kid's participation, in public activities facilitated through the internet digital technology. To facilitate the involvement of shared activities among children, an interactive website is essential. The aim of my project is to develop a website that is intended to be an interactive platform for a variety of events selection. Additionally, the website will aid parents in the creation, discovery ...


Solid State Drive, Shaun A. Steele 2017 California Polytechnic State University, San Luis Obispo

Solid State Drive, Shaun A. Steele

Electrical Engineering

This project documents the design and implementation of a solid state drive (SSD). SSDs are a non-volatile memory storage device that competes with hard disk drives. SSDs rely on flash memory, a type of non-volatile memory that is electrically erased and programmed. The appeal of SSDs lies in the fact that they allow a fast, reliable, and durable memory storage device. The goal of this project is to have a working external SSD built from scratch.


Advanced Text Analytics And Machine Learning Approach For Document Classification, Chaitanya Anne 2017 University of New Orleans

Advanced Text Analytics And Machine Learning Approach For Document Classification, Chaitanya Anne

University of New Orleans Theses and Dissertations

Text classification is used in information extraction and retrieval from a given text, and text classification has been considered as an important step to manage a vast number of records given in digital form that is far-reaching and expanding. This thesis addresses patent document classification problem into fifteen different categories or classes, where some classes overlap with other classes for practical reasons. For the development of the classification model using machine learning techniques, useful features have been extracted from the given documents. The features are used to classify patent document as well as to generate useful tag-words. The overall objective ...


Optimization Of Spatial Convolution In Convnets On Intel Knl, Sangamesh Nagashattappa Ragate 2017 University of Tennessee, Knoxville

Optimization Of Spatial Convolution In Convnets On Intel Knl, Sangamesh Nagashattappa Ragate

Masters Theses

Most of the experts admit that the true behavior of the neural network is hard to predict. It is quite impossible to deterministically prove the working of the neural network as the architecture gets bigger, yet, it is observed that it is possible to apply a well engineered network to solve one of the most abstract problems like image recognition with substantial accuracy. It requires enormous amount of training of a considerably big and complex neural network to understand its behavior and iteratively improve its accuracy in solving a certain problem. Deep Neural Networks, which are fairly popular nowadays deal ...


Hexarray: A Novel Self-Reconfigurable Hardware System, Fady Hussein 2017 Boise State University

Hexarray: A Novel Self-Reconfigurable Hardware System, Fady Hussein

Boise State University Theses and Dissertations

Evolvable hardware (EHW) is a powerful autonomous system for adapting and finding solutions within a changing environment. EHW consists of two main components: a reconfigurable hardware core and an evolutionary algorithm. The majority of prior research focuses on improving either the reconfigurable hardware or the evolutionary algorithm in place, but not both. Thus, current implementations suffer from being application oriented and having slow reconfiguration times, low efficiencies, and less routing flexibility. In this work, a novel evolvable hardware platform is proposed that combines a novel reconfigurable hardware core and a novel evolutionary algorithm.

The proposed reconfigurable hardware core is a ...


Power Efficient High Temperature Asynchronous Microcontroller Design, Nathan William Kuhns 2017 University of Arkansas, Fayetteville

Power Efficient High Temperature Asynchronous Microcontroller Design, Nathan William Kuhns

Theses and Dissertations

There is an increasing demand for dependable and efficient digital circuitry capable of operating in high temperature environments. Extreme temperatures have adverse effects on traditional silicon synchronous systems because of the changes in delay and setup and hold times caused by the variances in each device’s threshold voltage. This dissertation focuses on the design of the major functionality of an asynchronous 8051 microcontroller in Raytheon’s high temperature Silicon Carbide process, rated for operation over 300ºC. The microcontroller is designed in NULL Convention Logic, for which the traditional bus architecture used for data transfer would consume a large amount ...


Characterization Of Neural Network Backpropagation On Chiplet-Based Gpu Architectures, Colin A. Weinshenker 2017 College of William and Mary

Characterization Of Neural Network Backpropagation On Chiplet-Based Gpu Architectures, Colin A. Weinshenker

Undergraduate Honors Theses

Advances in parallel computing architectures (e.g., Graphics Processing Units (GPUs)) have had great success in helping meet the performance and energy-efficiency demands of many high-performance computing (HPC) applications. DRAM bandwidth is generally a critical performance bottleneck for many of such applications. With the advances in memory technology, the DRAM bandwidth bottleneck is shifting towards other parts of the system hierarchy (e.g., interconnects). We identify neural network backpropagation as one application where the interconnect network is one of the biggest performance bottlenecks. We show that the interconnect bottleneck for backpropagation can be significantly alleviated if computing cores and caching ...


Excel Programming For A Visual Degree Progress Report, Brady Therrien 2017 University of Southern Maine

Excel Programming For A Visual Degree Progress Report, Brady Therrien

Thinking Matters

The University of Southern Maine is like many colleges in the fact that its engineering program has a lot of extensive requirements that a student must achieve before receiving a degree. These include but are not limited to the core and department curriculums, GPA, and Residency Requirements. Most of these are easily accessible to the student on MaineStreet to track progress like the example degree progress report in Figure 2. This progress report shows all of the information by what requirement each class satisfies so it can be really time consuming to scroll through them all, for example, to see ...


Metafork: A Compilation Framework For Concurrency Models Targeting Hardware Accelerators, Xiaohui Chen 2017 The University of Western Ontario

Metafork: A Compilation Framework For Concurrency Models Targeting Hardware Accelerators, Xiaohui Chen

Electronic Thesis and Dissertation Repository

Parallel programming is gaining ground in various domains due to the tremendous computational power that it brings; however, it also requires a substantial code crafting effort to achieve performance improvement. Unfortunately, in most cases, performance tuning has to be accomplished manually by programmers. We argue that automated tuning is necessary due to the combination of the following factors. First, code optimization is machine-dependent. That is, optimization preferred on one machine may be not suitable for another machine. Second, as the possible optimization search space increases, manually finding an optimized configuration is hard. Therefore, developing new compiler techniques for optimizing applications ...


Funny Games - A Definition For And Study Of Comic Videogames, Eric Guardara 2017 Long Island University

Funny Games - A Definition For And Study Of Comic Videogames, Eric Guardara

Post & Beyond

In this project, I define the genre of Comic Games and discuss its categorical independence of other genres. Until now, this genre has not been clearly defined in the videogame medium. I have conducted research and compiled games that are generally accepted as being humorous. I then weeded out games that simply contain humor and categorized the remaining works that are at their core Comic Games. Comic Games are those whose primary and prolonged purpose are to evoke laughter from the user. This is different than humorous games that passively include humor. A Comic Game is one that is predominantly ...


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