Computer Engineering Commons^™

A Novel Methodology For Timely Brain Formations Of 3d Spatial Information With Application To Visually Impaired Navigation, Spyridon Manganas

Browse all Theses and Dissertations

Human brain analysis and understanding pose several challenges due to the great complexity of the structural organization and the functional connectivity that characterizes the human brain. The ability of the brain to adapt in dynamic changes over time such as normal aging, neurodegenerative diseases or congenital brain malformations renders the brain’s exploration a particularly demanding and difficult task. In recent years, advances in brain imaging modalities and lately the multimodal fusion, combined with improvements in related technologies have greatly assisted the development of brain maps by providing insights regarding the overall brain structure and functionality. Even though the existence of …

Hometracker: A Household Information Feedback System For Food/Energy/Water Metabolism, Nichole Mackey

Dissertations, Master's Theses and Master's Reports

The Food, Energy and Water Conscious (FEWCON) project seeks to understand how food, energy and water (FEW) as independent resources within households are connected. In the main study of the project, intervention messages that link household FEW consumption to equivalent climate consequences are pushed to the households. The goal of the FEWCON study is to determine potential intervention messages that influence household FEW consumption behavior.

A key component of the FEWCON study is a web application named HomeTracker (Household Metabolism Tracker) which collects FEW consumption data within households, then uses this data to select consumption-specific feedback to the homeowners. To …

Estimation Of Multi-Directional Ankle Impedance As A Function Of Lower Extremity Muscle Activation, Lauren Knop

Dissertations, Master's Theses and Master's Reports

The purpose of this research is to investigate the relationship between the mechanical impedance of the human ankle and the corresponding lower extremity muscle activity. Three experimental studies were performed to measure the ankle impedance about multiple degrees of freedom (DOF), while the ankle was subjected to different loading conditions and different levels of muscle activity. The first study determined the non-loaded ankle impedance in the sagittal, frontal, and transverse anatomical planes while the ankle was suspended above the ground. The subjects actively co-contracted their agonist and antagonistic muscles to various levels, measured using electromyography (EMG). An Artificial Neural Network …

T-Count Optimization Of Quantum Carry Look-Ahead Adder, Vladislav Ivanovich Khalus

Theses and Dissertations--Electrical and Computer Engineering

With the emergence of quantum physics and computer science in the 20^th century, a new era was born which can solve very difficult problems in a much faster rate or problems that classical computing just can't solve. In the 21^st century, quantum computing needs to be used to solve tough problems in engineering, business, medical, and other fields that required results not today but yesterday. To make this dream come true, engineers in the semiconductor industry need to make the quantum circuits a reality.

To realize quantum circuits and make them scalable, they need to be fault tolerant, …

Curricular Optimization: Solving For The Optimal Student Success Pathway, William G. Thompson-Arjona

Theses and Dissertations--Electrical and Computer Engineering

Considering the significant investment of higher education made by students and their families, graduating in a timely manner is of the utmost importance. Delay attributed to drop out or the retaking of a course adds cost and negatively affects a student’s academic progression. Considering this, it becomes paramount for institutions to focus on student success in relation to term scheduling.

Often overlooked, complexity of a course schedule may be one of the most important factors in whether or not a student successfully completes his or her degree. More often than not students entering an institution as a first time full …

A Compiler Target Model For Line Associative Registers, Paul S. Eberhart

Theses and Dissertations--Electrical and Computer Engineering

LARs (Line Associative Registers) are very wide tagged registers, used for both register-wide SWAR (SIMD Within a Register )operations and scalar operations on arbitrary fields. LARs include a large data field, type tags, source addresses, and a dirty bit, which allow them to not only replace both caches and registers in the conventional memory hierarchy, but improve on both their functions. This thesis details a LAR-based architecture, and describes the design of a compiler which can generate code for a LAR-based design. In particular, type conversion, alignment, and register allocation are discussed in detail.

The Next-Generation Retail Electricity Market In The Context Of Distributed Energy Resources: Vision And Integrating Framework, Josue Campos Do Prado, Wei Qiao, Liyan Qu, Julio Romero Aguero

Department of Electrical and Computer Engineering: Faculty Publications

The increasing adoption of distributed energy resources (DERs) and smart grid technologies (SGTs) by end-user retail customers is changing significantly both technical and economic operations in the distribution grid. The next-generation retail electricity market will promote decentralization, efficiency, and competitiveness by accommodating existing and new agents through new business models and transactive approaches in an advanced metering infrastructure (AMI). However, these changes will bring several technical challenges to be addressed in transmission and distribution systems. Considerable activities have been carried out worldwide to study the impacts of integrating DERs into the grid and in the wholesale electricity market. However, the …

The Temporal-Spatial Evolution Of Electron Dynamics Induced By Femtosecond Double Pulses, Changji Pan, Lan Jiang, Jingya Sun, Qingsong Wang, Feifei Wang, Yongfeng Lu

Department of Electrical and Computer Engineering: Faculty Publications

The temporal and spatial electron dynamics were investigated under irradiation of temporally shaped femtosecond double pulses. Filament split was observed upon arrival of the second pulse, which was attributed to the emergence of transient high-reflective surface induced by the first pulse. The electron density analysis showed that the total deposition energy of double pulses case was generally higher than that of single pulse case. Particularly, the maximum deposition energy was obtained at 350 fs separation time of double pulses. The results of our experiment demonstrated optimization of energy deposition efficiency by temporally shaping laser pulses, which will benefit the fabrication …

Neutrophil Activation In Systemic Capillary Leak Syndrome (Clarkson Disease), Zhihui Xie, Douglas B. Kuhns, Xuesong Gu, Hasan H. Otu, Towia A. Libermann, John I. Gallin, Samir M. Parikh, Kirk M. Druey

Department of Electrical and Computer Engineering: Faculty Publications

Systemic capillary leak syndrome (SCLS; Clarkson disease) is a rare orphan disorder characterized by transient yet recurrent episodes of hypotension and peripheral oedema due to diffuse vascular leakage of fluids and proteins into soft tissues. Humoral mediators, cellular responses and genetic features accounting for the clinical phenotype of SCLS are virtually unknown. Here, we searched for factors altered in acute SCLS plasma relative to matched convalescent samples using multiplexed aptamer‐based proteomic screening. Relative amounts of 612 proteins were changed greater than twofold and 81 proteins were changed at least threefold. Among the most enriched proteins in acute SCLS plasma were …

Direct Observation Of Structure-Assisted Filament Splitting During Ultrafast Multiplepulse Laser Ablation, Feifei Wang, Changji Pan, Jingya Sun, Qingsong Wang, Yongfeng Lu, Lan Jiang

Department of Electrical and Computer Engineering: Faculty Publications

Laser-induced plasma evolution in fused silica through multipulse laser ablation was studied using pump-probe technology. Filament splitting was observed in the early stage of plasma evolution (before ~300 fs). This phenomenon can be attributed to competition between laser divergent propagation induced by a pre-pulse-induced crater and the nonlinear self-focusing effect. This effect was validated through simulation results. With the increasing pulse number, the appearance of filament peak electron density was postponed. Furthermore, a second peak in the filament and peak position separation were observed because of an optical path difference between the lasers propagating from the crater center and edge. …

Monitoring Aging Of Power Semiconductor Devices Based On Case Temperature, Wei Qiao, Ze Wang, Liyan Qu

Department of Electrical and Computer Engineering: Faculty Publications

The aging of an electronic component in an electronic power converter can be monitored based on two or more case temperature measurements. A power electronic device is enclosed in a package having a baseplate, in which the power electronic device generates heat during operation and the baseplate transfers heat to a heat dissipating device or a cooling device. Sensors measure temperatures at first and second locations on a surface of the baseplate. A data processor calculates a value for a first parameter based on the temperatures at the first and second locations, in which the first parameter is indicative of …

Multi-Pig Part Detection And Association With A Fully-Convolutional Network, Eric T. Psota, Mateusz Mittek, Lance C. Pérez, Ty Schmidt, Benny Mote

Department of Electrical and Computer Engineering: Faculty Publications

Computer vision systems have the potential to provide automated, non-invasive monitoring of livestock animals, however, the lack of public datasets with well-defined targets and evaluation metrics presents a significant challenge for researchers. Consequently, existing solutions often focus on achieving task-specific objectives using relatively small, private datasets. This work introduces a new dataset and method for instance-level detection of multiple pigs in group-housed environments. The method uses a single fully-convolutional neural network to detect the location and orientation of each animal, where both body part locations and pairwise associations are represented in the image space. Accompanying this method is a new …

Beam Manipulation Mechanisms Of Dielectric Metasurfaces, Baoshan Guo, Lan Jiang, Yanhong Hua, Ningwei Zhan, Jingang Jia, Kunpeng Chu, Yongfeng Lu

Department of Electrical and Computer Engineering: Faculty Publications

Dielectric metasurfaces can achieve flexible beam manipulations. Herein, we study dielectric metasurfaces with different refractive indices, periods, incident angles, and cross-sectional shapes to determine the metasurface working mechanisms. Perfect transmission mainly depends on multipolar interference that can be used to control the transmission modes through the hybrid periods, hybrid cross sections, and multilayers. Perfect reflection is strongly influenced by the period of the metasurface and occurs only when the period is shorter than incident wavelength, which can be attributed to the lattice coupling. Furthermore, lattice coupling can be classified into two types with distinct properties: vertical mode and horizontal mode …

Foreword For The Inaugural Issue, Dongming Guo, Yongfeng Lu

Department of Electrical and Computer Engineering: Faculty Publications

The International Journal of Extreme Manufacturing is a leading, worldwide scientific journal focused on the fields of extreme manufacturing. Published within it are the latest scientific and engineering achievements in related fields, as well as pioneering scientific, technological, and engineering innovations and developments.

Zebrafish Macroh2a Variants Have Distinct Embryo Localization And Function, E. Gonzalez-Munoz, Y. Arboleda-Estudillo, S. K. Chanumolu, H. H. Otu, J. B. Cibelli

Department of Electrical and Computer Engineering: Faculty Publications

Mouse and cell-based studies have shown that macroH2A histone variants predominantly associate with heterochromatin. Functional studies found that macroH2As are involved in gene repression, inhibiting the acquisition of pluripotency and preserving cell differentiation. However, only a few studies have analysed the role of macroH2A during early embryo development. We report the development of transgenic zebrafish lines expressing macroH2A isoforms (mH2A1 and mH2A2) fusion proteins (with GFP) under identified endogenous promoters. We found that mH2A1 and mH2A2 have different spatial and temporal expression patterns during embryonic development. mH2A1 is expressed mostly in the extraembryonic Yolk Syncytial Layer (YSL) starting before shield …

Rechargeable Multi - Cell Battery, Wei Qiao, Taesic Kim, Liyan Qu

Department of Electrical and Computer Engineering: Faculty Publications

A method for power management of a multi-cell battery includes identifying a desired power value and voltage value, determining a battery voltage value and a battery current value for a battery, determining a number of battery banks from a plurality of battery banks to use for the battery, where each battery bank includes one or more battery cells (or battery modules), checking availability of each of the one or more battery cells (or battery modules), selecting one or more battery banks from the plurality of battery banks, where the selection of a battery bank is based on the availability of …

Towards A Fault-Tolerant, Scheduling Methodology For Safety-Critical Certified Information Systems, Jian Lin

Journal of International Technology and Information Management

Today, many critical information systems have safety-critical and non-safety-critical functions executed on the same platform in order to reduce design and implementation costs. The set of safety-critical functionality is subject to certification requirements and the rest of the functionality does not need to be certified, or is certified to a lower level. The resulting mixed-criticality systems bring challenges in designing such systems, especially when the critical tasks are required to complete with a timing constraint. This paper studies a problem of scheduling a mixed-criticality system with fault tolerance. A fault-recovery technique called checkpointing is used where a program can go …

A Systematic Review Of Process Modelling Methods And Its Application For Personalised Adaptive Learning Systems, Kingsley Okoye

Journal of International Technology and Information Management

This systematic review work investigates current literature and methods that are related to the application of process mining and modelling in real-time particularly as it concerns personalisation of learning systems, or yet still, e-content development. The work compares available studies based on the domain area of study, the scope of the study, methods used, and the scientific contribution of the papers and results. Consequently, the findings of the identified papers were systematically evaluated in order to point out potential confounding variables or flaws that might have been overlooked or missing in the current literature. In turn, a critical structured analysis …

Table Of Contents Jitim Vol 27 Issue 4, 2018-2019

Journal of International Technology and Information Management

ToC JITIM - Special Issue on ICT4D

Table Of Contents Jitim Vol 28 Issue 1, 2019

Journal of International Technology and Information Management

Table of contents

Agent-Based Modeling And Simulation Approaches In Stem Education Research, Shanna R. Simpson-Singleton, Xiangdong Che

Journal of International Technology and Information Management

The development of best practices that deliver quality STEM education to all students, while minimizing achievement gaps, have been solicited by several national agencies. ABMS is a feasible approach to provide insight into global behavior based upon the interactions amongst agents and environments. In this review, we systematically surveyed several modeling and simulation approaches and discussed their applications to the evaluation of relevant theories in STEM education. It was found that ABMS is optimal to simulate STEM education hypotheses, as ABMS will sensibly present emergent theories and causation in STEM education phenomena if the model is properly validated and calibrated.

A Multilayer Secured Messaging Protocol For Rest-Based Services, Idongesit Efaemiode Eteng

Journal of International Technology and Information Management

The lack of descriptive language and security guidelines poses a big challenge to implementing security in Representational State Transfer (REST) architecture. There is over reliance on Secure Socket Layer/Transport Layer Security (SSL/TLS), which in recent times has proven to be fallible. Some recent attacks against SSL/TLS include: POODLE, BREACH, CRIME, BEAST, FREAK etc. A secure messaging protocol is implemented in this work. The protocol is further compiled into a reusable library which can be called by other REST services. Using Feature Driven Development (FDD) software methodology, a two layer security protocol was developed. The first layer is a well hardened …

Mobile Iot Adoption As Antecedent To Care-Service Efficiency And Improvement: Empirical Study In Healthcare-Context, Samyadip Chakraborty, Vaidik Bhatt

Journal of International Technology and Information Management

Internet of things (IoT) is the buzzword and pioneering breakthrough approach highlighted in today’s industry 4.0, where the devices are seamlessly integrated with each other, sharing vital information in real-time sync. With the wearable IoT devices, the diagnostic readings and physical measurements of the patients can be shared with the physician on the go and suitable diagnosis can as well be shared with patient in the real-time on their own mobile devices through IoT applications. This study empirically examines the importance of m-IoT adoption on the information pervasiveness across the network and patient stakeholders and in turn investigating how efficiency …

Table Of Contents Jitim Vol 28 Issue 4, 2019

Journal of International Technology and Information Management

Table of Contents

Detection Of Offensive Youtube Comments, A Performance Comparison Of Deep Learning Approaches, Priyam Bansal

Dissertations

Social media data is open, free and available in massive quantities. However, there is a significant limitation in making sense of this data because of its high volume, variety, uncertain veracity, velocity, value and variability. This work provides a comprehensive framework of text processing and analysis performed on YouTube comments having offensive and non-offensive contents.

YouTube is a platform where every age group of people logs in and finds the type of content that most appeals to them. Apart from this, a massive increase in the use of offensive language has been apparent. As there are massive volume of new …

Big Data Investment And Knowledge Integration In Academic Libraries, Saher Manaseer, Afnan R. Alawneh, Dua Asoudi

Copyright, Fair Use, Scholarly Communication, etc.

Recently, big data investment has become important for organizations, especially with the fast growth of data following the huge expansion in the usage of social media applications, and websites. Many organizations depend on extracting and reaching the needed reports and statistics. As the investments on big data and its storage have become major challenges for organizations, many technologies and methods have been developed to tackle those challenges.

One of such technologies is Hadoop, a framework that is used to divide big data into packages and distribute those packages through nodes to be processed, consuming less cost than the traditional storage …

Microcontroller Based Granular Urea Application Attachment For Rice Transplanter, Md Towfiqur Rahman, Md Monjurul Alam, Md Mosharraf Hossain, Muhammad Rashed Al Mamun

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Transplanting and fertilizer application for rice production in Bangladesh are tedious, time consuming and laborious task, and mostly done manually. Mechanical transplanting of rice becoming popular in the country in recent years and few machines have been developed for granular urea deep placement, however, having some limitations. Placing granular urea precisely along with rice transplanting, an attempt was under taken to design and fabricate an electronic control granular urea applicator to be attach with a 4-row walk behind type rice transplanter. Fabrication of the electronic granular urea applicator was done in the workshop of the Department of Farm Power and …

การเตือนการพลิกคว่ำแบบทริปเเละแบบอันทริปด้วยโครงข่ายประสาทเเบบเวลาจริง, ไกรฤกษ์ ตรีทิพสุนทร

Chulalongkorn University Theses and Dissertations (Chula ETD)

ระบบป้องกันการพลิกคว่ำสำคัญมากสำหรับความปลอดภัยของผู้ขับขี่ การพัฒนาระบบป้องกันการพลิกคว่ำต้องการการประเมินความเสี่ยงในการพลิกคว่ำ ความยากของการประเมินความเสี่ยงคือ การที่ไม่รู้ความสูงจุดศูนย์ถ่วงของรถ หรือน้ำหนักของรถในขณะนั้น เป็นต้น งานวิจัยนี้จะพัฒนาการคาดเดาการพลิกคว่ำโดยที่ไม่รู้ตัวแปรข้างต้น โดยโครงข่ายประสาทใช้ค่าจากเซนเซอร์ที่ติดตั้งบนรถ การทดลองจะใช้โมเดลของรถยนต์ SUV เนื่องจากมีจุดศูนย์ถ่วงที่สูงกว่ารถยนต์ประเภทอื่น การทดสอบใช้รถทดสอบอัตราส่วน 1:5 โดยใช้ทฤษฎีบักกิงแฮมพาย และรถทดสอบได้ติดตั้งเซนเซอร์วัดความเร่ง 5 จุด และไจโรสโกป 1 จุด การเตือนการพลิกคว่ำ แบ่งเป็น 3 ระดับ ได้แก่ ปลอดภัย, มีความเสี่ยง และมีความเสี่ยงสูง โดยระบบสามารถเตือนการพลิกคว่ำได้ทั้งแบบทริป และอันทริป ทริป คือการเข้าโค้งและสะดุดหลุม หรือสิ่งกีดขวาง อันทริปคือการเข้าโค้งด้วยความเร็วสูง การเตือนการพลิกคว่ำใกล้เคียงกับค่าดัชนีการพลิกคว่ำที่วัดได้จริง การทดลองด้วยข้อมูลจากโปรแกรมจำลอง “CarSim” งานวิจัยนี้ใช้โครงข่ายประสาทแบบวนกลับ โดยใช้ข้อมูลจากเซนเซอร์ที่ติดตั้งบนตัวรถ ผู้วิจัยทดสอบ และเปรียบเทียบ ชนิดของโครงข่ายประสาท โครงสร้างของโครงข่ายประสาท และข้อมูลรับเข้าที่แตกต่างกัน โดยโครงข่ายประสาทที่เหมาะสมกับการคาดเดาแบบทริปคือแทนเจนต์มีรากที่สองของค่าเฉลี่ยความผิดพลาดกำลังสอง (RMSE) อยู่ที่ 3.66x10-4 และ GRU เหมาะสำหรับการคาดเดาแบบอันทริป โดยมีรากที่สองของค่าเฉลี่ยความผิดพลาดกำลังสองอยู่ที่ 0.131x10-2

Unsupervised Feature Learning For Point Cloud By Contrasting And Clustering With Graph Convolutional Neural Network, Ling Zhang

Dissertations and Theses

Recently, deep graph neural networks (GNNs) have attracted significant attention for point cloud understanding tasks, including classification, segmentation, and detection. However, the training of such deep networks still requires a large amount of annotated data, which is both expensive and time-consuming. To alleviate the cost of collecting and annotating large-scale point cloud datasets, we propose an unsupervised learning approach to learn features from unlabeled point cloud ”3D object” dataset by using part contrasting and object clustering with GNNs. In the contrast learning step, all the samples in the 3D object dataset are cut into two parts and put into a …

Integrating Multi-Source Weather Data For Deep Learning, Haidar A. Alanbari Mr

Dissertations and Theses

Big Data has been playing a major role in the domain of Deep Learning applications as many companies and institutions continue to find solutions and extract certain trends in fields of climate change, weather forecasting and meteorology. This project extracts weather events data from multiple data sources that are supported by National Centers for Environmental information (NCEI) [1] and Amazon Web Services (AWS) [2]. Data sources include Next-Generation NEXRAD [3] Doppler radar reflectivity, GOES-16 [4] multi-channel satellite imagery and NCEI [1] storm events. Then, it integrates and refines data in proper formats to be fed to the open-source Detectron [5] …