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Computer and Systems Architecture Commons

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Webapirec: Recommending Web Apis To Software Projects Via Personalized Ranking, Ferdian THUNG, Richard J. OENTARYO, David LO, Yuan TIAN 2017 Singapore Management University

Webapirec: Recommending Web Apis To Software Projects Via Personalized Ranking, Ferdian Thung, Richard J. Oentaryo, David Lo, Yuan Tian

Research Collection School Of Computing and Information Systems

Application programming interfaces (APIs) offer a plethora of functionalities for developers to reuse without reinventing the wheel. Identifying the appropriate APIs given a project requirement is critical for the success of a project, as many functionalities can be reused to achieve faster development. However, the massive number of APIs would often hinder the developers' ability to quickly find the right APIs. In this light, we propose a new, automated approach called WebAPIRec that takes as input a project profile and outputs a ranked list of web APIs that can be used to implement the project. At its heart, WebAPIRec employs …


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 and …


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.


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 Computing and 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 of …


A Data-Driven Approach To Cubesat Health Monitoring, Serbinder Singh 2017 California Polytechnic State University, San Luis Obispo

A Data-Driven Approach To Cubesat Health Monitoring, Serbinder Singh

Master's Theses

Spacecraft health monitoring is essential to ensure that a spacecraft is operating properly and has no anomalies that could jeopardize its mission. Many of the current methods of monitoring system health are difficult to use as the complexity of spacecraft increase, and are in many cases impractical on CubeSat satellites which have strict size and resource limitations. To overcome these problems, new data-driven techniques such as Inductive Monitoring System (IMS), use data mining and machine learning on archived system telemetry to create models that characterize nominal system behavior. The models that IMS creates are in the form of clusters that …


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

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

LSU 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 …


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

Graduate 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 of power. …


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 Symposium Archive

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 …


Survey Of Branch Prediction, Pipelining, Memory Systems As Related To Computer Architecture, Kristina Landen 2017 Embry-Riddle Aeronautical University

Survey Of Branch Prediction, Pipelining, Memory Systems As Related To Computer Architecture, Kristina Landen

Student Works

This paper is a survey of topics introduced in Computer Engineering Course CEC470: Computer Architecture (CEC470). The topics covered in this paper provide much more depth than what was provided in CEC470, in addition to exploring new concepts not touched on in the course. Topics presented include branch prediction, pipelining, registers, memory, and the operating system, as well as some general design considerations for computer architecture as a whole.

The design considerations explored include a discussion on different types of instruction types specific to the ARM Instruction Set Architecture, known as ARM and Thumb, as well as an exploration of …


A Framework For Understanding, Prioritizing, And Applying Systems Security Engineering Processes, Activities, And Tasks, Stephen Khou 2017 Air Force Institute of Technology

A Framework For Understanding, Prioritizing, And Applying Systems Security Engineering Processes, Activities, And Tasks, Stephen Khou

Theses and Dissertations

Current systems security practices lack an effective approach to prioritize and tailor systems security efforts to develop and field secure systems in challenging operational environments, which results in business and mission stakeholders becoming more susceptible to an array of disruptive events. This work informs Systems Engineers on recent developments in the field of system security engineering and provides a framework for more fully understanding the application of Systems Security Engineering (SSE) processes, activities, and tasks as described in the recently released National Institute of Standards and Technology (NIST) Special Publication 800-160. This SSE framework uniquely offers a repeatable and tailorable …


Development Of The Architecture Cost Effectiveness Framework And Application To Open Systems Architectures, Donald A. Barrett 2017 Air Force Institute of Technology

Development Of The Architecture Cost Effectiveness Framework And Application To Open Systems Architectures, Donald A. Barrett

Theses and Dissertations

The Modular Open System Approach (MOSA) is an initiative to, among other things, reduce cost and schedule for acquisitions programs. While programs have experienced savings using MOSA, the majority of programs have not, in part due to a lack of a logical method for evaluating architecture alternatives. This research develops the Architecture Cost Effectiveness Framework (ACEF), which combines multi-attribute utility analysis with cost effectiveness analysis throughout the program lifecycle. Step 1 is the establishment of a business strategy that includes an Attribute Hierarchy of selected operational requirements. The business strategy also defines Lifecycle Utility Reference Profiles (LURPs) that document changing …


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

Discovery Day (formerly 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 …


Iota Pi Application For Ios, Deborah Newberry 2017 California Polytechnic State University, San Luis Obispo

Iota Pi Application For Ios, Deborah Newberry

Computer Science and Software Engineering

Kappa Kappa Psi is a national honorary fraternity for college band members. They meet every Sunday night, and during these meetings they plan events (both internal and external) that aim to meet our goal of making sure that the Cal Poly band programs have their social, financial, material, and educational needs satisfied. This paper details the steps I took to create an application for them to use internally to help ease organizational processes.


Automatic Generation Of Web Applications And Management System, Yu Zhou 2017 California State University, San Bernardino

Automatic Generation Of Web Applications And Management System, Yu Zhou

Electronic Theses, Projects, and Dissertations

One of the major difficulties in web application design is the tediousness of constructing new web pages from scratch. For traditional web application projects, the web application designers usually design and implement web application projects step by step, in detail. My project is called “automatic generation of web applications and management system.” This web application generator can generate the generic and customized web applications based on software engineering theories. The flow driven methodology will be used to drive the project by Business Process Model Notation (BPMN). Modules of the project are: database, web server, HTML page, functionality, financial analysis model, …


Promoting Information Resources To Students: Using Wordpress To Maintain Library Data Sets, Derek Stadler 2017 CUNY La Guardia Community College

Promoting Information Resources To Students: Using Wordpress To Maintain Library Data Sets, Derek Stadler

Publications and Research

Although it began as a blog tool, WordPress has grown into a complete content management system with thousands of interactive themes available. Since it uses the MySQL database management system, the open-source software suits the needs of library websites by aggregating a college library’s complete database inventory. Rather than update several HTML pages within a site when new vendors are added or a URL is changed, information from vendors can be maintained in a database table and then displayed to students, highlighting available resources and information. The presentation highlights the use of some simple WordPress plugins to manage many aggregators …


Image And Information Fusion Experiments With A Software-Defined Multi-Spectral Imaging System For Aviation And Marine Sensor Networks, Sam B. Siewert, Matthew Demi Vis, Ryan Claus, Ramnarayan Krishnamurthy, Surjith B. Singh, Akshay K. Singh, Shivasankar Gunasekaran 2017 Sam B Siewert , Embry-Riddle Aeronautical University, College of Engineering

Image And Information Fusion Experiments With A Software-Defined Multi-Spectral Imaging System For Aviation And Marine Sensor Networks, Sam B. Siewert, Matthew Demi Vis, Ryan Claus, Ramnarayan Krishnamurthy, Surjith B. Singh, Akshay K. Singh, Shivasankar Gunasekaran

Publications

The availability of Internet, line-of-sight and satellite identification and surveillance information as well as low-power, low-cost embedded systems-on-a-chip and a wide range of visible to long-wave infrared cameras prompted Embry Riddle Aeronautical University to collaborate with the University of Alaska Arctic Domain Awareness Center (ADAC) in summer 2016 to prototype a camera system we call the SDMSI (Software-Defined Multi-spectral Imager). The concept for the camera system from the start has been to build a sensor node that is drop-in-place for simple roof, marine, pole-mount, or buoy-mounts. After several years of component testing, the integrated SDMSI is now being tested, first …


Communication Through Social Technologies: A Study Of Israeli Women, Jeretta Horn Nord 405-747-0320, Dafni Biran Achituv, Joanna Paliszkiewicz 2017 Oklahoma State University

Communication Through Social Technologies: A Study Of Israeli Women, Jeretta Horn Nord 405-747-0320, Dafni Biran Achituv, Joanna Paliszkiewicz

Journal of International Technology and Information Management

Social technologies have changed the way we communicate allowing users to interact, share knowledge, reach out to friends and family, keep up with the news, and even promote and support a business. A study of Israeli women was conducted to determine how social technologies platforms — Facebook, Twitter, LinkedIn, YouTube, and Google+ — are used and the benefits realized. Women worldwide face challenges including economic, educational, health, and political. Israel women, like women in every other country in the world, are challenged with gender inequity. Do women who use social technologies believe that these platforms provide empowerment leading to greater …


Annual Report 2016-2017, DePaul University College of Computing and Digital Media 2017 DePaul University

Annual Report 2016-2017, Depaul University College Of Computing And Digital Media

CDM Annual Reports

The College of Computing and Digital Media has always prided itself on curriculum, creative work, and research that stays current with changes in our various fields of instruction. As we looked back on our 2016-17 academic year, the need to chronicle the breadth and excellence of this work became clear. We are pleased to share with you this annual report, our first, highlighting our accomplishments.

Last year, we began offering three new graduate programs and two new certificate programs. We also planned six degree programs and three new certificate programs for implementation in the current academic year. CDM faculty were …


Convolutional Neural Networks For Predicting Skin Lesions Of Melanoma, Anuruddha Jayasekara Pathiranage 2017 Regis University

Convolutional Neural Networks For Predicting Skin Lesions Of Melanoma, Anuruddha Jayasekara Pathiranage

Regis University Student Publications (comprehensive collection)

Diagnosis of an unknown skin lesion is crucial to enable proper treatments. While curable with early diagnosis, only highly trained dermatologists are capable of accurately recognize melanoma skin lesions. Expert dermatologist classification for melanoma dermoscopic images is 65-66%. As expertise is in limited supply, systems that can automatically classify skin lesions as either benign or malignant melanoma are very useful as initial screening tools. Towards this goal, this study presents a convolutional neural network model, trained on features extracted from a highway convolutional neural network pretrained on dermoscopic images of skin lesions. This requires no lesion segmentation nor complex preprocessing. …


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