Reengineering A 2-Tier Database Application With Software Architecture, 2017 Southern Illinois University Carbondale
Reengineering A 2-Tier Database Application With Software Architecture, Hong G. Jung
ASA Multidisciplinary Research Symposium
The purpose of this research is to demonstrate how to reengineer a legacy Database Application using to a target system with MVC and 3-layered architecture. A Coffee Inventory Management database application is used for legacy application. The benefits of the reengineering are discussed.
Crowdsourced Smart Cities, 2017 Carnegie Mellon University
Crowdsourced Smart Cities, Robert A. Iannucci, Anthony Rowe
Answering Food Insecurity: Serving The Community With Food And Knowledge Using Technology, 2017 Purdue University
Answering Food Insecurity: Serving The Community With Food And Knowledge Using Technology, Courtney Simpson
Purdue Journal of Service-Learning and International Engagement
The courses of Tech120, CGT110, and ENGT 180/181 and Red Gold at Purdue collaborated to design a robot that would plant and water a garden for a local community charter school. The students centered the project on the users’ needs for fresh food, nutrition education, and early exposure to STEM for children. The school, Anderson Preparatory Academy (APA), is comprised of many children who come from low-income families and are in the free or reduced lunch program. Inspired from “Farm Bot,” a similar system that allows for almost hands-free gardening, the “Boiler Bot” is designed to be scalable so ...
Power-Efficient And Highly Scalable Parallel Graph Sampling Using Fpgas, Usman Tariq, Umer Cheema, Fahad Saeed
Parallel Computing and Data Science Lab Technical Reports
Energy efficiency is a crucial problem in data centers where big data is generally represented by directed or undirected graphs. Analysis of this big data graph is challenging due to volume and velocity of the data as well as irregular memory access patterns. Graph sampling is one of the most effective ways to reduce the size of graph while maintaining crucial characteristics. In this paper we present design and implementation of an FPGA based graph sampling method which is both time- and energy-efficient. This is in contrast to existing parallel approaches which include memory-distributed clusters, multicore and GPUs. Our ...
Feature Extraction And Parallel Visualization For Large-Scale Scientific Data, 2017 University of Nebraska - Lincoln
Feature Extraction And Parallel Visualization For Large-Scale Scientific Data, Lina Yu
Computer Science and Engineering: Theses, Dissertations, and Student Research
Advanced computing and sensing technologies enable scientists to study natural and physical phenomena with unprecedented precision, resulting in an explosive growth of data. The unprecedented amounts of data generated from large scientific simulations impose a grand challenge in data analytics and visualization due to the fact that data are too massive for transferring, storing, and processing.
This dissertation makes the first contribution to the design of novel transfer functions and application-aware data replacement policy to facilitate feature classification on highly parallel distributed systems. We design novel transfer functions that advance the classification of continuously changed volume data by combining the ...
Lmproving Microcontroller And Computer Architecture Education Through Software Simulation, 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 ...
Bim+Blockchain: A Solution To The Trust Problem In Collaboration?, 2017 Dublin Institute of Technology
Bim+Blockchain: A Solution To The Trust Problem In Collaboration?, Malachy Mathews, Dan Robles, Brian Bowe
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 ...
Resource Estimation For Large Scale, Real-Time Image Analysis On Live Video Cameras Worldwide, 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, 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 ...
Hyper-Connectivity: Intricacies Of National And International Cyber Securities (Part 1), 2017 University of Missouri - St Louis
Hyper-Connectivity: Intricacies Of National And International Cyber Securities (Part 1), Maurice Dawson
One-To-Cloud One-Time Pad Data Encryption: Introducing Virtual Prototyping With Pspice, 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
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, 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, 2017 California Polytechnic State University, San Luis Obispo
Mr. Mix: The Automated Home Bartender, Brian Moore, Robert Hulbert
No abstract provided.
An Analysis Of Heroku And Aws For Growing Startups, 2017 California Polytechnic State University, San Luis Obispo
An Analysis Of Heroku And Aws For Growing Startups, Colton B. Stapper
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.
Children’S Social Network: Kids Club, 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, 2017 California Polytechnic State University, San Luis Obispo
Solid State Drive, Shaun A. Steele
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.
Deepmon: Mobile Gpu-Based Deep Learning Framework For Continuous Vision Applications, 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 ...
Advanced Text Analytics And Machine Learning Approach For Document Classification, 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 ...
Power Efficient High Temperature Asynchronous Microcontroller Design, 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 ...
Hexarray: A Novel Self-Reconfigurable Hardware System, 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 ...