Computer Engineering Commons^™

An Adversarial Framework For Deep 3d Target Template Generation, Walter E. Waldow

Browse all Theses and Dissertations

This paper presents a framework for the generation of 3D models. This is an important problem for many reasons. For example, 3D models are important for systems that are involved in target recognition. These systems use 3D models to train up accuracy on identifying real world object. Traditional means of gathering 3D models have limitations that the generation of 3D models can help overcome. The framework uses a novel generative adversarial network (GAN) that learns latent representations of two dimensional views of a model to bootstrap the network’s ability to learn to generate three dimensional objects. The novel architecture is …

Quantitative Susceptibility Mapping (Qsm) Reconstruction From Mri Phase Data, Sara Gharabaghi

Browse all Theses and Dissertations

Quantitative susceptibility mapping (QSM) is a powerful technique that reveals changes in the underlying tissue susceptibility distribution. It can be used to measure the concentrations of iron and calcium in the brain both of which are linked with numerous neurodegenerative diseases. However, reconstructing the QSM image from the MRI phase data is an ill-posed inverse problem. Different methods have been proposed to overcome this difficulty. Still, the reconstructed QSM images suffer from streaking artifacts and underestimate the measured susceptibility of deep gray matter, veins, and other high susceptibility regions. This thesis proposes a structurally constrained Susceptibility Weighted Imaging and Mapping …

Development Of Real-Time Systems For Supporting Collaborations In Distributed Human And Machine Teams, Aishwarya Bositty

Browse all Theses and Dissertations

Real-time distributed systems constitute computing nodes that are connected by a network and coordinate with one another to accomplish a cooperative task, combining the responsiveness, fault-tolerance and geographic independence to support time-constrained collaborative applications, including distributed Human-Machine Teaming. In this thesis research the viability of real-time distributed collaborative technologies is demonstrated through the design, development and validation of prototype systems that support two human-machine teaming scenarios namely, ACE-IMS (Affirmation Cue based Interruption Management Systems) and ReadMI (Real-time Assessment of Dialogue in Motivational Interview). ACE-IMS demonstrates how a combination of AI capabilities and the cloud and mobile computing infrastructure can be …

Stream Clustering And Visualization Of Geotagged Text Data For Crisis Management, Nathaniel C. Crossman

Browse all Theses and Dissertations

In the last decade, the advent of social media and microblogging services have inevitably changed our world. These services produce vast amounts of streaming data, and one of the most important ways of analyzing and discovering interesting trends in the streaming data is through clustering. In clustering streaming data, it is desirable to perform a single pass over incoming data, such that we do not need to process old data again, and the clustering model should evolve over time not to lose any important feature statistics of the data. In this research, we have developed a new clustering system that …

High-Performance Spectral Methods For Computer-Aided Design Of Integrated Circuits, Zhiqiang Zhao

Dissertations, Master's Theses and Master's Reports

Recent research shows that by leveraging the key spectral properties of eigenvalues and eigenvectors of graph Laplacians, more efficient algorithms can be developed for tackling many graph-related computing tasks. In this dissertation, spectral methods are utilized for achieving faster algorithms in the applications of very-large-scale integration (VLSI) computer-aided design (CAD)

First, a scalable algorithmic framework is proposed for effective-resistance preserving spectral reduction of large undirected graphs. The proposed method allows computing much smaller graphs while preserving the key spectral (structural) properties of the original graph. Our framework is built upon the following three key components: a spectrum-preserving node aggregation and …

Route Planning For Long-Term Robotics Missions, Christopher Alexander Arend Tatsch

Graduate Theses, Dissertations, and Problem Reports (ETD)

Many future robotic applications such as the operation in large uncertain environment depend on a more autonomous robot. The robotics long term autonomy presents challenges on how to plan and schedule goal locations across multiple days of mission duration. This is an NP-hard problem that is infeasible to solve for an optimal solution due to the large number of vertices to visit. In some cases the robot hardware constraints also adds the requirement to return to a charging station multiple times in a long term mission. The uncertainties in the robot model and environment require the robot planner to account …

Resource Efficient Design Of Quantum Circuits For Cryptanalysis And Scientific Computing Applications, Edgard Munoz-Coreas

Theses and Dissertations--Electrical and Computer Engineering

Quantum computers offer the potential to extend our abilities to tackle computational problems in fields such as number theory, encryption, search and scientific computation. Up to a superpolynomial speedup has been reported for quantum algorithms in these areas. Motivated by the promise of faster computations, the development of quantum machines has caught the attention of both academics and industry researchers. Quantum machines are now at sizes where implementations of quantum algorithms or their components are now becoming possible. In order to implement quantum algorithms on quantum machines, resource efficient circuits and functional blocks must be designed. In this work, we …

Scalable Universalspace Vector Pulse Width Modulation Scheme For Multilevel Inverters, Wei Qiao, Fa Chen, Liyan Qu

Department of Electrical and Computer Engineering: Faculty Publications

A scalable universal space vector pulse-width modulation (SVPWM) scheme for multilevel inverters is disclosed. In the disclosed SVPWM scheme, the modulation triangle is quickly identified based on a coordinate transformation from an a-ß coordinate system to a 120° oblique coordinate system. Then, the duty cycles and switching states of the three vertices of the modulation triangle are determined by simple algebric computations. In a switching period, any vertex of the modulation triangle can be flexibly selected as the start point to optimize the switching sequence with flexibly adjustable duty cycles(s) for the redundant switching state(s) according to specific applications.

Detecting Faults In Wind Turbines, Wei Qiao, Xiang Gong

Department of Electrical and Computer Engineering: Faculty Publications

A wind turbine generator faultdetection method is described.The method includes acquiring curent data from a wind turbine generator during operation, determining frequency demodulated signals and amplitude demodulated signals by frequency demodulating and amplitude demodulating the current data, resampling the frequency and amplitude demodulated signals corresponding to the current data, monitoring a frequency spectra of the resampled frequency and amplitude demodulated signals corresponding to the current data to identify one or more excitations in the frequency spectra. In response to identifying one or more excitations in the frequnecy spectra at one or more of the variable fault characteristic frequecies, the method …

The Impact Of E-Commerce On The Development Of Entrepreneurship In Saudi Arabia, Khulood Al-Mani

Journal of International Technology and Information Management

This paper is based on a Ph.D. study investigating the critical challenges facing e-commerce adoption by entrepreneurs in Saudi Arabia, identifying the major driving factors, barriers, motivations, perceived advantages, potential problems and some practical solutions as well as future expectations from entrepreneurs’ perspectives. From the study findings, a set of practical recommendations were derived for the government, entrepreneurs and investors in Saudi Arabia to consider, to promote ecommerce entrepreneurship in the county.

The research was undertaken using a qualitative approach. Data collection techniques involved in-depth, semi-structured interviews, with (1) e-commerce entrepreneurs, and (2) government authorities, educational initiatives and private support …

Digital Technologies As Antecedents To Process Integration And Dynamic Capabilities In Healthcare: An Empirical Investigation, Tulika Chakravorty, Karunakar Jha, Sunil Barthwal, Samyadip Chakraborty

Journal of International Technology and Information Management

Healthcare has been in focus over the past decade due to its criticality and continuous revolution. In this digital era, with the advent of various technologies, healthcare is undergoing a massive transformation. This study attempts to analyze the impacts of three major digital technologies which are being adopted in the healthcare sector which are electronic medical records (EMR), enterprise resource planning (ERP) and internet-of-things (IoT) enabled medical wearables in the hospital context. Focusing towards analyzing the impact of these technologies towards process-integration and further towards dynamic capabilities like quality, agility and responsiveness; the study framework is well-grounded by two theoretical-underpinnings …

Blockchain Adoption Model For The Global Banking Industry, Zaina Kawasmi, Evans Akwasi Gyasi, Deneise Dadd

Journal of International Technology and Information Management

Blockchain has become the new hype term in the business world for the last decade. Due to the new technology’s characteristics and innovative applications, it is being adopted globally in a wide number of industries including the banking industry, yet no adoption model is provided to guide this process. This research aims to contribute to facilitating the successful adoption and implementation of the blockchain new technology in the banking industry. Building on the assumption that the blockchain’s adoption in banking will be directed by the regulations and best practices guidelines of the global banking regulatory bodies and practitioner, this research …

Assessment Of The Needs Of Ict Skills On Employability In Smes: A Vft Approach, Renatus Michael Mushi

Journal of International Technology and Information Management

the globalised economy comes with extra demand of ICT skills among the graduates. This is due to the demand if ICT technicalities in performing a number of basic activities in the workplaces. Majority of studies which concentrate with ICT skills on employability deals with technical enterprises. In non-technical companies such as construction, manufacturing and agriculture, ICT is studied as among the basic skill-set of graduates. However, recently, there has been special demand of graduates with basic ICT knowledge on recruitment processes. This indicates the growing demand of basic ICT skills among a broad range of professions. However, the type of …

Table Of Contents Jitim Vol 29 Issue 1, 2020

Journal of International Technology and Information Management

Table of contents

Quantum Computing: Principles And Applications, Yoshito Kanamori, Seong-Moo Yoo

Journal of International Technology and Information Management

The development of quantum computers over the past few years is probably one of the significant advancements in the history of quantum computing. D-Wave quantum computer has been available for more than eight years. IBM has made its quantum computer accessible via its cloud service. Also, Microsoft, Google, Intel, and NASA have been heavily investing in the development of quantum computers and their applications. The quantum computer seems to be no longer just for physicists and computer scientists but also for information system researchers. This paper introduces the basic concepts of quantum computing and describes well-known quantum applications for non-physicists. …

Assessing The Influence Of Self-Efficacy On The Acceptance Of Mobile Phone Technology Within The Smes, Renatus Michael Mushi

Journal of International Technology and Information Management

Mobile phone technologies have proved to provide a significant transformation in performing various activities within companies, especially in least developed regions. Mobile phones provide opportunities for employees of organisations to work any time and anywhere. SMEs comprise of employees who perform multitasking job roles due to their small in size and low financial capabilities and most cases, some of them work remotely from their main offices.

Self-Efficacy is a belief that the user has enough skills to use technology to perform a task at hand. This is one of the factors influencing of acceptance of technologies at the workplaces such …

Table Of Contents Jitim Vol 29 Issue 3, 2020

Journal of International Technology and Information Management

Table of contents

Mac Protocols For Terahertz Communication: A Comprehensive Survey, Saim Ghafoor, Noureddine Boujnah, Mubashir Husain Rehmani, Alan Davy

Publications

Terahertz communication is emerging as a future technology to support Terabits per second link with highlighting features as high throughput and negligible latency. However, the unique features of the Terahertz band such as high path loss, scattering, and reflection pose new challenges and results in short communication distance. The antenna directionality, in turn, is required to enhance the communication distance and to overcome the high path loss. However, these features in combine negate the use of traditional medium access protocols (MAC). Therefore, novel MAC protocol designs are required to fully exploit their potential benefits including efficient channel access, control message …

การวินิจฉัยโรคพาร์กินสันโดยใช้การเรียนรู้ของเครื่อง, หัสพล ธัมมิกรัตน์

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์นี้นำเสนอวิธีการวินิจฉัยโรคพาร์กินสันด้วยการใช้การเรียนรู้ของเครื่องสำหรับการตรวจพบโรคพาร์กินสันในระยะเริ่มต้น โดยใช้โครงข่ายประสาทเทียมแบบวนซ้ำชนิดพิเศษ Long Short-Term Memory กับข้อมูลโรคพาร์กินสันที่ได้รับจากผู้เชี่ยวชาญของโรงพยาบาลจุฬาลงกรณ์ โดยข้อมูลที่ใช้ประกอบไปด้วยข้อมูลจากเซ็นเซอร์และคีย์บอร์ดจากการเก็บข้อมูลจากผู้ร่วมทดสอบซึ่งมีทั้งกลุ่มควบคุมและผู้ป่วยจำนวนหนึ่งผ่านตัวควบคุมที่เก็บข้อมูลคีย์บอร์ดและเซ็นเซอร์ ซึ่งข้อมูลเซ็นเซอร์มีค่าตัวแปรความเร่งและมุม ข้อมูลคีย์บอร์ดคือการกดคีย์บอร์ดเป็นตัวอักษรพร้อมทั้งเวลาการกดคีย์บอร์ด การวิจัยนี้ทำเพื่อช่วยการวินิจฉัยแยกแยะระหว่างอาการสั่นหรือมีปัญหาทางการควบคุมการเครื่องไหวของผู้ป่วยโรคอื่นและผู้ป่วยโรคพาร์กินสัน การวิจัยนี้ได้ใช้การเรียนรู้ของเครื่องเพื่อคัดกรองผู้ป่วยเบื้องต้นแทนการใช้แพทย์ผู้เชี่ยวชาญทางโรคพาร์กินสันสำหรับแพทย์แผนกผู้ป่วยนอกในวินิจฉัยการคัดกรองผู้ป่วยที่มีอาการใกล้เคียงอย่างการเคลื่อนไหว และความผิดปกติของระบบประสาทและสมอง ผลการวินิจฉัยพบว่าการเรียนรู้เครื่องสามารถตรวจพบการวินิจฉัยโรคพาร์กินสัน ได้ร้อยละความถูกต้องที่ 88.78 เปอร์เซ็นต์

Reducing Smart Contract Runtime Errors On The Ethereum Blockchain, Siwapol Jumnongsaksub

Chulalongkorn University Theses and Dissertations (Chula ETD)

With smart contracts, a wide range of applications can be implemented on blockchains. Ethereum stores smart contract byte code with the smart contract ad-dress so, the Ethereum Virtual Machine (EVM) can read and execute transactions correctly. All executed transactions (both successful and failed transactions) are stored on the platform permanently. Failed transactions are thrown by the EVM due to runtime errors and result in monetary waste. The waste from these transactions add up to around 2 million Ethers or $634.2 million. In this thesis, we propose Evitar, a warning algorithm for reducing Ethereum smart contract runtime errors, which has two …

Red Blood Cell Segmentation And Classification From Microscopic Images Using Machine Learning, Korranat Naruenatthanaset

Chulalongkorn University Theses and Dissertations (Chula ETD)

Red blood cell morphology analysis plays an essential role in diagnosing many diseases caused by RBC disorders. This manual inspection is a long process and requires practice and experience. Since recent computer vision and image processing in the medical imaging area can provide efficient tools, it can help hematologists to automatically analyze images from a microscope in a reduced time and cost. This research presents a new method to segment and classify RBCs from blood smear images. The process started from data collection, which a new application was created for precisely labeling. The normalization was done to reduce the color …

Digital Platform Development For Performance Monitoring System In Oil And Gas Exploration And Production, Tanthai Poopaiboon

Chulalongkorn University Theses and Dissertations (Chula ETD)

The paper provides a case study to enhance the Performance Management System for Oil and Gas Exploration and Production industry. Although the system was designed for the Oil and Gas Exploration and Production industry, the paper could be applied effectively for other industries because the modern organisation mainly utilised the Key Performance Indicator (KPI) to reflect its performance. So, the paper could be applied to most organisations with minor modifications. The Advanced Performance Management System was developed systematically powered by digital transformation according to research methodology framework, including research, analysis, project development, and result measurement. The research stage is studying …

Optimizing Router Performance, Bradley Newton, Radon Rosborough, Miles President, Hakan Alpan

CMC Senior Theses

To support its development of networking hardware and software, Juniper Networks conducts research into enhancements to the protocols used on the Internet, in coordination with standards bodies such as the Internet Engineering Task Force. We helped Juniper Networks with two specific research objectives. The first was to design and implement an improved algorithm by which Internet hosts can establish the appropriate packet size to maximize bandwidth while avoiding packet fragmentation. We produced a working implementation of the improved algorithm in the Linux kernel. The second objective was to measure the effect of different Internet Protocol extension headers (specifically, Routing Header …

Implementation Of A Hierarchical, Embedded, Cyber Attack Detection System For Spi Devices On Unmanned Aerial Systems, Jeremy J. Price

Theses and Dissertations

Unmanned Aerial Systems (UAS) create security concerns as their roles expand in commercial, military, and consumer spaces. The need to secure these systems is recognized in the architecture for a Hierarchical, Embedded, Cyber Attack Detection (HECAD) system. HECAD passively monitors the communication between a flight controller and all its peripherals like sensors and actuators. It ensures the functionality of a UAS is within the set of defined behavior and reports all potential problems, whether the errors were caused by cyber attacks or other physical faults. A portion of the design for Serial Peripheral Interface (SPI) devices on board a flight …

Systematic Model-Based Design Assurance And Property-Based Fault Injection For Safety Critical Digital Systems, Athira Varma Jayakumar

Theses and Dissertations

With advances in sensing, wireless communications, computing, control, and automation technologies, we are witnessing the rapid uptake of Cyber-Physical Systems across many applications including connected vehicles, healthcare, energy, manufacturing, smart homes etc. Many of these applications are safety-critical in nature and they depend on the correct and safe execution of software and hardware that are intrinsically subject to faults. These faults can be design faults (Software Faults, Specification faults, etc.) or physically occurring faults (hardware failures, Single-event-upsets, etc.). Both types of faults must be addressed during the design and development of these critical systems. Several safety-critical industries have widely adopted …

Vegetation Detection Using Deep Learning And Conventional Methods, Bulent Ayhan, Chiman Kwan, Bence Budavari, Liyun Kwan, Yan Lu, Daniel Perez, Jiang Li, Dimitrios Skarlatos, Marinos Vlachos

Electrical & Computer Engineering Faculty Publications

Land cover classification with the focus on chlorophyll-rich vegetation detection plays an important role in urban growth monitoring and planning, autonomous navigation, drone mapping, biodiversity conservation, etc. Conventional approaches usually apply the normalized difference vegetation index (NDVI) for vegetation detection. In this paper, we investigate the performance of deep learning and conventional methods for vegetation detection. Two deep learning methods, DeepLabV3+ and our customized convolutional neural network (CNN) were evaluated with respect to their detection performance when training and testing datasets originated from different geographical sites with different image resolutions. A novel object-based vegetation detection approach, which utilizes NDVI, computer …

Simulation And Analysis Of Wind Turbine Radar Echo Based On 3-D Scattering Point Model, Jiangong Zhang, Bin Hao, Bo Tang, Li Huang, Jiawei Yang

Turkish Journal of Electrical Engineering and Computer Sciences

Wind turbine (WT) arrays in wind farms can cause serious interference on nearby radar stations. This interference could be filtered out if wind turbine radar echo (WTRE) can be obtained accurately. Considering the singleness of in-field experiments, numerical simulation became the majority among such works, but few of them reached necessary accuracy. Therefore, we propose a solution method of WTRE based on three-dimensional (3-D) scattering point model. Firstly, we use the nonuniform rational B-spline to build the 3-D model of WT. Secondly, based on the method of moments (MoM), the Rao-Wilton-Gisson (RWG) basis function is adopted to discretize the integral …

A Hybrid Model Based On The Convolutional Neural Network Model And Artificial Bee Colony Or Particle Swarm Optimization-Based Iterative Thresholding For The Detection Of Bruised Apples, Mahmut Heki̇m, Onur Cömert, Kemal Adem

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, apple images taken with near-infrared (NIR) cameras were classified as bruised and healthy objects using iterative thresholding approaches based on artificial bee colony (ABC) and particle swarm optimization (PSO) algorithms supported by a convolutional neural network (CNN) deep learning model. The proposed model includes the following stages: image acquisition, image preprocessing, the segmentation of anatomical regions (stem-calyx regions) to be discarded, the detection of bruised areas on the apple images, and their classification. For this aim, by using the image acquisition platform with a NIR camera, a total of 1200 images at 6 different angles were taken …

Time Series Forecasting On Multivariate Solar Radiation Data Using Deep Learning (Lstm), Murat Ci̇han Sorkun, Özlem Durmaz İncel, Christophe Paoli

Turkish Journal of Electrical Engineering and Computer Sciences

Energy management is an emerging problem nowadays and utilization of renewable energy sources is an efficient solution. Solar radiation is an important source for electricity generation. For effective utilization, it is important to know precisely the amount from different sources and at different horizons: minutes, hours, and days. Depending on the horizon, two main classes of methods can be used to forecast the solar radiation: statistical time series forecasting methods for short to midterm horizons and numerical weather prediction methods for medium- to long-term horizons. Although statistical time series forecasting methods are utilized in the literature, there are a limited …

Nonlocal Means Estimation Of Intrinsic Mode Functions For Speech Enhancement, Sagar Reddy Vumanthala, Bikshalu K

Turkish Journal of Electrical Engineering and Computer Sciences

The main aim of this paper is to introduce a new approach to enhance speech signals by exploring the advantages of nonlocal means (NLM) estimation and empirical mode decomposition. NLM, a patch-based denoising method, is extensively used for two-dimensional signals like images. However, its use for one-dimensional signals has been attracting more attention recently. The NLM-based approach is quite useful for removing low-frequency noises based on nonlocal similarities present among samples of the signal. However, there is an issue of under averaging in the high-frequency regions. The temporal and spectral characteristics of the speech signal are changing markedly over time. …