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Computer Engineering Commons™

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2017

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Articles 331 - 360 of 1200

Full-Text Articles in Computer Engineering

Mr. Mix: The Automated Home Bartender, Brian Moore, Robert Hulbert Jun 2017

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

Computer Engineering

No abstract provided.

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Deer-Vehicle Collision Avoidance, Randy S. Fung, Connie P. Ho Jun 2017

Deer-Vehicle Collision Avoidance, Randy S. Fung, Connie P. Ho

Computer Engineering

The targeted outcome for this project is to create and build a system that shall be placed alongside the roads where deer are often spotted in the area. The system shall detect an incoming car through a vibration sensor that is firmly mounted against the pavement or dirt road. Once movement is detected, the system will emit an ultrasonic frequency to alert the deer of potential harm. Deer shall either turn around and stop where they are at until the cars have passed. This system will interface with a vibration sensor Fung, Ho 5 that will detect a moving car …

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Farmbot Rfid Integration, Laura R. Swart Jun 2017

Farmbot Rfid Integration, Laura R. Swart

Computer Engineering

The purpose of this project is to assist the company FarmBot improve their product by adding RFID tracking to the FarmBot robot. RFID tracking will allow the robot to select and pick up tool heads without any user interference.

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Daily Dose, Ken H. Yasui, Joey M. Angeja Jun 2017

Daily Dose, Ken H. Yasui, Joey M. Angeja

Computer Engineering

The project goal is to develop a medication and vitamin management device that will sort and dispense pre-configured amounts of pills at designated times . The main clientele of this device is the elderly community with a secondary client base of the general public. The entire system is designed from scratch, powered by US standard line voltage. The main functionalities of the device are the ability to store multiple types of pills and the ability to accurately handle user input and data transfer. The two engineering specifications that were not met included the desired pill pick up rate and dimensions …

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General-Purpose Digital Filter Platform, Michael Cheng Jun 2017

General-Purpose Digital Filter Platform, Michael Cheng

Electrical Engineering

This senior project provides a platform for high-speed, general-purpose digital filter implementation. EE 459 currently implements digital filters using reprogrammable digital signal processor boards. These aging digital signal processors serially calculate each difference equation term. Operating at 1 Mega-sample per second, the new general-purpose platform simultaneously processes at least ten digital filtering difference equation coefficients. The platform also features an audio jack input and BNC connectors for viewing input and output signals. The filter digitizes single channel audio signals at 44.1 kHz sampling rate with 16-bit precision or 1 MHz sampling at 8-bit precision. The new reprogrammable platform includes a …

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Wireless Window Blinds, Cooper Laone, Niraj Morar, Zachary Malig, Jake Phillips Jun 2017

Wireless Window Blinds, Cooper Laone, Niraj Morar, Zachary Malig, Jake Phillips

Electrical Engineering

The Internet of Things asserts that there exists a global need for all objects to connect easily and accessibly. Today, smartphones, tablets, laptops and smart watches makeup just a few of the interconnected devices by the greater population. As a result a growing need for wireless connection between personal devices like phones, and computers to everyday appliances exists. This idea extends directly to households, businesses and buildings, where a growing need for smart home or smart-business appliances has taken root. Many companies like Nest, ADT and Apple make products for automated home security and in home media control. The Wireless …

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Game Implementation In Real-Time Using The Project Tango, Samantha R. Bhuiyan Jun 2017

Game Implementation In Real-Time Using The Project Tango, Samantha R. Bhuiyan

Computer Science and Software Engineering

The goal of this senior project is to spread awareness of augmented reality, which Google defines as “a technology that superimposes a computer-generated image on a user's view of the real world, thus providing a composite view.” It’s a topic that is rarely known to those outside of a technology related field or one that has vested interest in technology. Games can be ideal tools to help educate the public on any subject matter. The task is to create an augmented reality game using a “learn by doing” method. The game will introduce players to augmented reality, and thus demonstrate …

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Blend It Wine Blending Distribution System, Connor Clarry, Russell Temple, Matt Moren Jun 2017

Blend It Wine Blending Distribution System, Connor Clarry, Russell Temple, Matt Moren

Mechanical Engineering

No abstract provided.

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Micro-Spi Sediment Profile Imaging Micro-Inspector, Andrew P. Corvin, Caleb T. Davies, Matt R. Ferrari Jun 2017

Micro-Spi Sediment Profile Imaging Micro-Inspector, Andrew P. Corvin, Caleb T. Davies, Matt R. Ferrari

Mechanical Engineering

This project was proposed by Dr. Brian Paavo through a desire to more easily study the benthic sediment layers of the ocean. To do so, he asked us to build a simple and compact machine for use in sediment profile imagery (SPI). Although devices like this already exist, they are all large scale devices that require a ship with a crane to deploy, which is expensive and time consuming. Instead, he desired a “micro” SPI, which is capable of being deployed from a small vessel that can easily navigate shallow waters. Our interpretation of these requirements was as follows: a …

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Wheelieking Trainer Project Report, Harold Hall Iii, Nathaniel Fox, Thomas Niemisto Jun 2017

Wheelieking Trainer Project Report, Harold Hall Iii, Nathaniel Fox, Thomas Niemisto

Biomedical Engineering

In this report we will detail the design and implementation process of the WheelieKing Trainer project, a device that helps people learn how to do wheelies on a bicycle by preventing backward falls. Formal project requirements are specified, followed by the ideation and iteration process to meet those requirements. The components and methods used to create the device are described in detail. The results of the development process and usage test results of the device are included. Appendices at the end of this report include references, supporting analyses, and project management and timeline details.

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Cpu Db Data Visualization, Ruchita Patel, Marek Moreno Jun 2017

Cpu Db Data Visualization, Ruchita Patel, Marek Moreno

Computer Engineering

Given the CPU database from Stanford, we wanted to create something that portrayed the data in a more visually pleasing way. The CPU database website wanted a web page that would allow users to create graphs based on the processor data from the database. The web page would allow users to select different data from the database and create the graphs they wanted to gain insight into the decades of processor data.

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Ping Pong Trainer, Aaron Atamian Jun 2017

Ping Pong Trainer, Aaron Atamian

Computer Engineering

This is a ping pong trainer. It shoots out ping pong balls to red targets using computer vision techniques.

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Sap: Improving Continuous Top-K Queries Over Streaming Data, Rui Zhu, Bin Wang, Xiaochun Yang, Baihua Zheng, Guoren Wang Jun 2017

Sap: Improving Continuous Top-K Queries Over Streaming Data, Rui Zhu, Bin Wang, Xiaochun Yang, Baihua Zheng, Guoren Wang

Research Collection School Of Computing and Information Systems

Continuous top-k query over streaming data is a fundamental problem in database. In this paper, we focus on the sliding window scenario, where a continuous top-k query returns the top-k objects within each query window on the data stream. Existing algorithms support this type of queries via incrementally maintaining a subset of objects in the window and try to retrieve the answer from this subset as much as possible whenever the window slides. However, since all the existing algorithms are sensitive to query parameters and data distribution, they all suffer from expensive incremental maintenance cost. In this paper, we propose …

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Deepmon: Mobile Gpu-Based Deep Learning Framework For Continuous Vision Applications, Nguyen Loc Huynh, Youngki Lee, Rajesh Krishna Balan Jun 2017

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 …

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Children’S Social Network: Kids Club, Eiman Alrashoud Jun 2017

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 …

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Comparative Analysis Of Big Data Analytics Software In Assessing Sample Data, Soly Mathew Biju, Alex Mathew Jun 2017

Comparative Analysis Of Big Data Analytics Software In Assessing Sample Data, Soly Mathew Biju, Alex Mathew

Journal of International Technology and Information Management

Over the last few years, big data has emerged as an important topic of discussion in most firms owing to its ability of creation, storage and processing of content at a reasonable price. Big data consists of advanced tools and techniques to process large volumes of data in organisations. Investment in big data analytics has almost become a necessity in large-sized firms, particularly multinational companies, for its unique benefits, particularly in prediction and identification of various trends. Some of the most popular big data analytics software used today are MapReduce, Hive, Tableau and Hive, while the framework Hadoop enables easy …

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Solid State Drive, Shaun A. Steele Jun 2017

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.

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Remote Cable Gantry, Allen L. Bailey Jun 2017

Remote Cable Gantry, Allen L. Bailey

Electrical Engineering

The Remote Cable Gantry is a robotic system that was initially intended to aid in the art of aerial videography. It was designed to enable novice and expert users alike to capture both video footage and audio from perspectives unachievable by current methods. This system uses a series of cables to control the position of a camera gimbal in a defined 3D space and, as a self-contained unit, is portable and easy to use. The Remote Cable Gantry offers a quiet, intuitive, and safe alternative to existing technology, which has been limiting the market and potential of aerial photography and …

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Light Sensing Automated Blinds, Andrew B. Hodges, Ryan C. Flick Jun 2017

Light Sensing Automated Blinds, Andrew B. Hodges, Ryan C. Flick

Electrical Engineering

This project is solving the problem of wasted energy within buildings and homes, because currently the lights turned on inside building do not utilize natural, ambient light from the sun. Rather than having unnecessary light from a light source, the automated light sensing smart blinds can sense the amount of light outside the window and in the room, and then adjust the angle of the blinds to save energy by utilizing the available outdoor light. This way, the light source will not be running at maximum power output while there is excess light coming through the window. This project aims …

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Scalable And Fully Distributed Localization In Large-Scale Sensor Networks, Miao Jin, Su Xia, Hongyi Wu, Xianfeng David Gu Jun 2017

Scalable And Fully Distributed Localization In Large-Scale Sensor Networks, Miao Jin, Su Xia, Hongyi Wu, Xianfeng David Gu

Electrical & Computer Engineering Faculty Publications

This work proposes a novel connectivity-based localization algorithm, well suitable for large-scale sensor networks with complex shapes and a non-uniform nodal distribution. In contrast to current state-of-the-art connectivity-based localization methods, the proposed algorithm is highly scalable with linear computation and communication costs with respect to the size of the network; and fully distributed where each node only needs the information of its neighbors without cumbersome partitioning and merging process. The algorithm is theoretically guaranteed and numerically stable. Moreover, the algorithm can be readily extended to the localization of networks with a one-hop transmission range distance measurement, and the propagation of …

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Scan: Multi-Hop Calibration For Mobile Sensor Arrays, Balz Maag, Zimu Zhou, Olga Saukh, Lothar Thiele Jun 2017

Scan: Multi-Hop Calibration For Mobile Sensor Arrays, Balz Maag, Zimu Zhou, Olga Saukh, Lothar Thiele

Research Collection School Of Computing and Information Systems

Urban air pollution monitoring with mobile, portable, low-cost sensors has attracted increasing research interest for their wide spatial coverage and affordable expenses to the general public. However, low-cost air quality sensors not only drift over time but also suffer from cross-sensitivities and dependency on meteorological effects. Therefore calibration of measurements from low-cost sensors is indispensable to guarantee data accuracy and consistency to be fit for quantitative studies on air pollution. In this work we propose sensor array network calibration (SCAN), a multi-hop calibration technique for dependent low-cost sensors. SCAN is applicable to sets of co-located, heterogeneous sensors, known as sensor …

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Is The Whole Greater Than The Sum Of Its Parts?, Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao, Norbou Buchler Jun 2017

Is The Whole Greater Than The Sum Of Its Parts?, Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao, Norbou Buchler

Research Collection School Of Computing and Information Systems

The PART-WHOLE relationship routinely finds itself in many disciplines, ranging from collaborative teams, crowdsourcing, autonomous systems to networked systems. From the algorithmic perspective, the existing work has primarily focused on predicting the outcomes of the whole and parts, by either separate models or linear joint models, which assume the outcome of the parts has a linear and independent effect on the outcome of the whole. In this paper, we propose a joint predictive method named PAROLE to simultaneously and mutually predict the part and whole outcomes. The proposed method offers two distinct advantages over the existing work. First (Model Generality), …

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Demo: Deepmon - Building Mobile Gpu Deep Learning Models For Continuous Vision Applications, Loc Nguyen Huynh, Rajesh Krishna Balan, Youngki Lee Jun 2017

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

Research Collection School Of Computing and Information Systems

Deep learning has revolutionized vision sensing applications in terms of accuracy comparing to other techniques. Its breakthrough comes from the ability to extract complex high level features directly from sensor data. However, deep learning models are still yet to be natively supported on mobile devices due to high computational requirements. In this paper, we present DeepMon, a next generation of DeepSense [1] framework, to enable deep learning models on conventional mobile devices (e.g. Samsung Galaxy S7) for continuous vision sensing applications. Firstly, Deep-Mon exploits similarity between consecutive video frames for intermediate data caching within models to enhance inference latency. Secondly, …

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Webapirec: Recommending Web Apis To Software Projects Via Personalized Ranking, Ferdian Thung, Richard J. Oentaryo, David Lo, Yuan Tian Jun 2017

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 …

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Optimizing Cloud-Service Performance: Efficient Resource Provisioning Via Optimal Workload Allocation, Zhuoyao Wang, Majeed M. Hayat, Nasir Ghani, Khaled B. Shaban Jun 2017

Optimizing Cloud-Service Performance: Efficient Resource Provisioning Via Optimal Workload Allocation, Zhuoyao Wang, Majeed M. Hayat, Nasir Ghani, Khaled B. Shaban

Electrical and Computer Engineering Faculty Research and Publications

Cloud computing is being widely accepted and utilized in the business world. From the perspective of businesses utilizing the cloud, it is critical to meet their customers' requirements by achieving service-level-objectives. Hence, the ability to accurately characterize and optimize cloud-service performance is of great importance. In this paper a stochastic multi-tenant framework is proposed to model the service of customer requests in a cloud infrastructure composed of heterogeneous virtual machines. Two cloud-service performance metrics are mathematically characterized, namely the percentile and the mean of the stochastic response time of a customer request, in closed form. Based upon the proposed multi-tenant …

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Low-Noise Speed-Optimized Large Area Cmos Avalanche Photodetector For Visible Light Communication, Md. Mottaleb Hossain, Sagar Ray, Jeng Shiuh Cheong, Liang Qiao, Aina N.A.P. Baharuddin, Mona Mostafa Hella, John P.R. David, Majeed M. Hayat Jun 2017

Low-Noise Speed-Optimized Large Area Cmos Avalanche Photodetector For Visible Light Communication, Md. Mottaleb Hossain, Sagar Ray, Jeng Shiuh Cheong, Liang Qiao, Aina N.A.P. Baharuddin, Mona Mostafa Hella, John P.R. David, Majeed M. Hayat

Electrical and Computer Engineering Faculty Research and Publications

Mean-gain and excess-noise measurements are presented for a 350 × 350 μm 2 P+/N-well/P-sub and a 270 × 270 μm 2 N-well/P-sub avalanche photodetectors fabricated using 0.13-μm CMOS technology. The active area of the P+/N-well/P-sub device was divided into multiple subsections to decrease transit time and increase speed. For the P+/N-well structure, remarkably low excess-noise factors of 4.1 and 4 were measured at a mean gain of 16 corresponding to a k value of approximately 0.1, using a 542 (633) nm laser. For a variant N-well/P-sub structure, excess-noise factors of 6.5 and 6.2 were measured at a mean-gain of 16 …

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Decision Tree Rule-Based Feature Selection For Imbalanced Data, Haoyue Liu May 2017

Decision Tree Rule-Based Feature Selection For Imbalanced Data, Haoyue Liu

Theses

A class imbalance problem appears in many real world applications, e.g., fault diagnosis, text categorization and fraud detection. When dealing with an imbalanced dataset, feature selection becomes an important issue. To address it, this work proposes a feature selection method that is based on a decision tree rule and weighted Gini index. The effectiveness of the proposed methods is verified by classifying a dataset from Santander Bank and two datasets from UCI machine learning repository. The results show that our methods can achieve higher Area Under the Curve (AUC) and F-measure. We also compare them with filter-based feature selection approaches, …

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Preemptive Efficient Queueing For Scheduling Deadline-Bound Data Center Flows, Vinaykrishna Gopalakrishna May 2017

Preemptive Efficient Queueing For Scheduling Deadline-Bound Data Center Flows, Vinaykrishna Gopalakrishna

Theses

This thesis introduces a new deadline aware flow scheduling scheme called Preemptive Efficient Queuing (PEQ). Unlike other schemes which use policies like EDF, SJF or fair share, this scheme aims to procrastinate flows as much as they can afford to, while keeping with their deadlines. Thereby, PEQ prioritizes more urgent flows that have shorter time to procrastinate, or cushion time. Results of PEQ are compared with state-of-the-art schemes for the transport of data-center flows, such as Preemptive Distributed Quick (PDQ) and Deadline-Driven Delivery (D3). The results show that PEQ outperforms D3 and PDQ. We identify results …

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Multi-Population-Based Differential Evolution Algorithm For Optimization Problems, Ishani Chatterjee May 2017

Multi-Population-Based Differential Evolution Algorithm For Optimization Problems, Ishani Chatterjee

Theses

A differential evolution (DE) algorithm is an evolutionary algorithm for optimization problems over a continuous domain. To solve high dimensional global optimization problems, this work investigates the performance of differential evolution algorithms under a multi-population strategy. The original DE algorithm generates an initial set of suitable solutions. The multi-population strategy divides the set into several subsets. These subsets evolve independently and connect with each other according to the DE algorithm. This helps in preserving the diversity of the initial set. Furthermore, a comparison of combination of different mutation techniques on several optimization algorithms is studied to verify their performance. Finally, …

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Adaptive Screen Generation For Mobile Devices, Caoimhín O’Nualláin, Sam Redfern May 2017

Adaptive Screen Generation For Mobile Devices, Caoimhín O’Nualláin, Sam Redfern

The ITB Journal

When one looks at any learning software - eLearning based or not - one cannot sometims help but think why the authors could not have organized the screens (or the means of navigation) in a way similar to some other piece of software which the user has used or come accustomed to using. In this paper it is hoped to be able to achieve just that. That is, to accommodate the adaptive screen design by building up a profile about the user which can capture the learning styles of the user and personal preferences, and to be able to have …

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