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Articles 13471 - 13500 of 25596

Full-Text Articles in Computer Engineering

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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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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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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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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Voice Activated Command And Control With Speech Recognition Over Wireless Networks, Tony Ayres, Brian Nolan May 2017

Voice Activated Command And Control With Speech Recognition Over Wireless Networks, Tony Ayres, Brian Nolan

The ITB Journal

This paper presents work conducted to date on the development of a voice activated command and control framework specifically for the control of remote devices in a ubiquitous computing environment. The prototype device is a Java controlled Lego Mindstorm robot. The research considers three different scenario configurations. A recognition grammar for command and control of the robot has been created and implemented in Java, in part in the recognition engine and in part on the robot. The physical topology involves Java at each node endpoint, that is, at the handheld PC (iPaq), the PC workstation, the Linux server and onboard …

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Statistical Language Models For Graphical Object Recognition, Laura Keyes, Andrew O'Sullivan, Adam Winstanley May 2017

Statistical Language Models For Graphical Object Recognition, Laura Keyes, Andrew O'Sullivan, Adam Winstanley

The ITB Journal

This paper explores automatic recognition and semantic capture in vector graphics for graphical information systems. The low-level graphical content of graphical documents, such as a map or architectural drawing, are often captured manually and the encoding of the semantic content seen as an extension of this. The large quantity of new and archived graphical data available on paper makes automatic structuring of such graphical data desirable. A successful method for recognising text data uses statistical language models. This work will investigate and evaluate similar and adapted statistical models (Statistical Graphical Langauge Models, SGLM) to graphical languages based on the associations …

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Interactive 2d And 3d Graphics Over The World-Wide Web With Actionscript, Hugh Mccabe May 2017

Interactive 2d And 3d Graphics Over The World-Wide Web With Actionscript, Hugh Mccabe

The ITB Journal

Many efforts have been made to provide a mechanism for delivering interactive 3D content over the World-Wide Web. The majority of the solutions put forward require the use of a proprietary plug-in on the client browser and none of these required plug-ins have so far become part of the standard browser installation package. The Macromedia Flash player has however achieved near ubiquitous status as the standard plug-in for displaying interactive multimedia and graphics content. Flash does not provide native support for 3D graphics but the recent addition of the Shape Drawing API opens up the possibility of developers using ActionScript …

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Voice Enabled Indoor Localisation, Kieran Harkin, Kevin Curran, Eoghan Furey May 2017

Voice Enabled Indoor Localisation, Kieran Harkin, Kevin Curran, Eoghan Furey

The ITB Journal

The ability to track objects in real time offers a wide range of beneficial applications that include safety, security and the supply chain. The problem with location based systems is that they can be inconvenient and time-consuming to locate an object. A user has to access a computer and log onto a location system to locate an object. There are several problems with current location determination interfaces. Firstly a user has to log on to a computer; this can be inconvenient and time consuming as the user may have to locate a computer (which may be in another area of …

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Mobile Phone Game Localisation, Leonie Troy, Matt Smith, Richard Gallery May 2017

Mobile Phone Game Localisation, Leonie Troy, Matt Smith, Richard Gallery

The ITB Journal

Often, mobile phone games are developed over a short time span. Because of the additional work and complexity that localisation requires, such games are frequently produced without localisation in mind. In recent years automation and standardisation of localisation has been developed and promoted by the Localisation Industry Standard Association (LISA) and Oasis. Mobile phone game localisation involves various types of language transfer on a small scale, which challenges the localisation process carried out on a game. Our work investigated the workflow for the localisation of a mobile phone game into Spanish and German using a LISA Standard TMX (Term Base …

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Development Of An Enhanced Generic Data Mining Life Cycle (Dmlc), Markus Hofmann, Brendan Tierney May 2017

Development Of An Enhanced Generic Data Mining Life Cycle (Dmlc), Markus Hofmann, Brendan Tierney

The ITB Journal

Data mining projects are complex and have a high failure rate. In order to improve project management and success rates of such projects a life cycle is vital to the overall success of the project. This paper reports on a research project that was concerned with the life cycle development for large scale data mining projects. The paper provides a detailed view of the design and development of a generic data mining life cycle called DMLC. The life cycle aims to support all members of data mining project teams as well as IT managers and academic researchers and may improve …

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Is Your Wireless Network Being Hacked?, Paul King, Ivan Smyth, Anthony Keane May 2017

Is Your Wireless Network Being Hacked?, Paul King, Ivan Smyth, Anthony Keane

The ITB Journal

Wireless networks provide vulnerable gateways for unauthorised entry to networks or even a standalone wireless computer. The independent radio signals that constitute wireless communications have no physical boundary to keep them in check. This allows a third party to easily eavesdrop on communications sessions and by capturing the data packets, they can break the encryption keys and access the data within the network. The public awareness of the insecurity of wireless networks is surprisingly poor despite frequent news media reports of the vulnerabilities of the equipment and the activities of the criminals prepare to exploit it. In this paper we …

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Towards Arabic To English Machine Translation, Yasser Salem, Arnold Hensman, Brian Nolan May 2017

Towards Arabic To English Machine Translation, Yasser Salem, Arnold Hensman, Brian Nolan

The ITB Journal

This paper explores how the characteristics of the Arabic language will effect the development of a Machine Translation (MT) tool from Arabic to English. Several distinguishing features of Arabic pertinent to MT will be explored in detail with reference to some potential difficulties that they might present. The paper will conclude with a proposed model incorporating the Role and Reference Grammar (RRG) technique to achieve this end.

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Vertical Search Engines, Kevin Curran, Jude Mc Glinchey May 2017

Vertical Search Engines, Kevin Curran, Jude Mc Glinchey

The ITB Journal

This paper outlines the growth in popularity of vertical search engines, their origins, the differences between them and well-known broad based search engines such as Google and Yahoo. We also discuss their use in business-to-business, their marketing and advertising costs, what the revenue streams are and who uses them.

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