Quantitative Detection Of Complex Mixtures Using A Single Chemical Sensor: Analysis Of Response Transients Using Multi-Stage Estimation,
2019
Marquette University
Quantitative Detection Of Complex Mixtures Using A Single Chemical Sensor: Analysis Of Response Transients Using Multi-Stage Estimation, Karthick Sothivelr, Florian Bender, Fabien Josse, Edwin E. Yaz, Antonio J. Ricco
Electrical and Computer Engineering Faculty Research and Publications
Most chemical sensors are only partially selective to any specific target analyte(s), making identification and quantification of analyte mixtures challenging, a problem often addressed using arrays of partially selective sensors. This work presents and experimentally verifies a signal-processing technique based on estimation theory for online identification and quantification of multiple analytes using only the response data collected from a single polymer-coated sensor device. The demonstrated technique, based on multiple stages of exponentially weighted recursive least-squares estimation (EW-RLSE), first determines which of the analytes included in the sensor response model are absent from the mixture being analyzed; these are then eliminated …
Fashion Merchandising: An Augmented Reality,
2019
CUNY Graduate Center
Fashion Merchandising: An Augmented Reality, Naeha A. Sayed
Dissertations, Theses, and Capstone Projects
There is a continuous and constant transformation in the field of Augmented Reality (AR), both in the Retail, and the Manufacturing sector. It has started to influence everything from fashion runway shows to online shopping. Consumers dynamics have shifted in the fashion industry, the ways becoming more dominant than the old observant ones- the simple buying experience no longer satisfies them. Due to the emergence of the new digital platforms and technological enhancements, the consumers are looking for more- be it a more exciting buying experience or more user interaction or more enhanced products. This technological change starts with the …
Incentivizing Collaboration In A Competition,
2019
Singapore Management University
Incentivizing Collaboration In A Competition, Arunesh Sinha, Michael P. Wellman
Research Collection School Of Computing and Information Systems
Research and design competitions aim to promote innovation or creative production, which are often best achieved through collaboration. The nature of a competition, however, typically necessitates sorting by individual performance. This presents tradeoffs for the competition designer, between incentivizing global performance and distinguishing individual capability. We model this situation in terms of an abstract collaboration game, where individual effort also benefits neighboring agents. We propose a scoring mechanism called LSWM that rewards agents based on localized social welfare. We show that LSWM promotes global performance, in that social optima are equilibria of the mechanism. Moreover, we establish conditions under which …
Emerging App Issue Identification From User Feedback: Experience On Wechat,
2019
Singapore Management University
Emerging App Issue Identification From User Feedback: Experience On Wechat, Cuiyun Gao, Wujie Zheng, Yuetang Deng, David Lo, Jichuan Zeng, Michael R. Lyu, Irwin King
Research Collection School Of Computing and Information Systems
It is vital for popular mobile apps with large numbers of users to release updates with rich features while keeping stable user experience. Timely and accurately locating emerging app issues can greatly help developers to maintain and update apps. User feedback (i.e., user reviews) is a crucial channel between app developers and users, delivering a stream of information about bugs and features that concern users. Methods to identify emerging issues based on user feedback have been proposed in the literature, however, their applicability in industry has not been explored. We apply the recent method IDEA to WeChat, a popular messenger …
Characterization Of Rf Signal Propagation For Wireless Sensor Network Deployed In Mountainous Environment,
2019
Florida Institute of Technology
Characterization Of Rf Signal Propagation For Wireless Sensor Network Deployed In Mountainous Environment, Bandar Mohammad Alshawi
Theses and Dissertations
Wireless sensor network (WSN) nodes, in mountainous forests, report real-time data to base stations concerning events, in which researchers and decision makers are interested in. A thorough research reveals the deficiency of any study modeling radio frequency (RF) in that environment. The lack of accurately modeling RF signal propagation in any environment can have a great impact on the network life, connectivity, and coverage. This dissertation models the loss of RF signal in the mountainous environment and demonstrates the inconsistency of theoretical models, compared to actual measurements. The models proposed in this research yield satisfactory results, and the theoretical models …
Formal Trust Architecture For Assuring Trusted Interactions In The Internet Of Things,
2019
Florida Institute of Technology
Formal Trust Architecture For Assuring Trusted Interactions In The Internet Of Things, Milankumar Patel
Theses and Dissertations
The Internet of Things (IoT) has provided a flexible platform for a large number of heterogeneous devices to dynamically join and leave the network. This enhances the availability of a diverse range of services provided by a network. However, this dynamic expansion of the network with mobile IoT devices introduces a major challenge to security especially related to management of trust across the IoT platforms. Furthermore, IoT is open and distributed in nature, which allows the integration and registration of diverse entities. Thus arises the necessity for a mechanism that can ensure the selection of secure and trusted devices as …
Image Processing Algorithms For Elastin Lamellae Inside Cardiovascular Arteries,
2019
University of Nebraska-Lincoln
Image Processing Algorithms For Elastin Lamellae Inside Cardiovascular Arteries, Mahmoud Habibnezhad
School of Computing: Dissertations, Theses, and Student Research
Automated image processing methods are greatly needed to replace the tedious, manual histology analysis still performed by many physicians. This thesis focuses on pathological studies that express the essential role of elastin lamella in the resilience and elastic properties of the arterial blood vessels. Due to the stochastic nature of the shape and distribution of the elastin layers, their morphological features appear as the best candidates to develop a mathematical formulation for the resistance behavior of elastic tissues. However, even for trained physicians and their assistants, the current measurement procedures are highly error-prone and prolonged. This thesis successfully integrates such …
Analysis Of Bitcoin Cryptocurrency And Its Mining Techniques,
2019
University of Nevada, Las Vegas
Analysis Of Bitcoin Cryptocurrency And Its Mining Techniques, Suman Ghimire
UNLV Theses, Dissertations, Professional Papers, and Capstones
Bitcoin is a peer-to-peer digital, decentralized cryptocurrency created by an individual under pseudonym Satoshi Nakamoto. In fact, it is the first digital, decentralized currency. Several developers and organizations have explored the importance of digital cryptocurrency and the concept of the blockchain. Bitcoin is assumed to be one of the secure and comfortable payment methods that can be used in the upcoming days. The backbone of Bitcoin mining is the concept of the blockchain, which is assumed to beone of the ingenious invention of this century. The blockchain is the collection of blocks that are linked together in such a way …
Multi-Resolution Spatio-Temporal Change Analyses Of Hydro-Climatological Variables In Association With Large-Scale Oceanic-Atmospheric Climate Signals,
2019
University of Nevada, Las Vegas
Multi-Resolution Spatio-Temporal Change Analyses Of Hydro-Climatological Variables In Association With Large-Scale Oceanic-Atmospheric Climate Signals, Kazi Ali Tamaddun
UNLV Theses, Dissertations, Professional Papers, and Capstones
The primary objective of the work presented in this dissertation was to evaluate the change patterns, i.e., a gradual change known as the trend, and an abrupt change known as the shift, of multiple hydro-climatological variables, namely, streamflow, snow water equivalent (SWE), temperature, precipitation, and potential evapotranspiration (PET), in association with the large-scale oceanic-atmospheric climate signals. Moreover, both observed datasets and modeled simulations were used to evaluate such change patterns to assess the efficacy of the modeled datasets in emulating the observed trends and shifts under the influence of uncertainties and inconsistencies. A secondary objective of this study was to …
Segmentation And Classification Of Lung Nodules From Thoracic Ct Scans : Methods Based On Dictionary Learning And Deep Convolutional Neural Networks.,
2019
University of Louisville
Segmentation And Classification Of Lung Nodules From Thoracic Ct Scans : Methods Based On Dictionary Learning And Deep Convolutional Neural Networks., Mohammad Mehdi Farhangi
Electronic Theses and Dissertations
Lung cancer is a leading cause of cancer death in the world. Key to survival of patients is early diagnosis. Studies have demonstrated that screening high risk patients with Low-dose Computed Tomography (CT) is invaluable for reducing morbidity and mortality. Computer Aided Diagnosis (CADx) systems can assist radiologists and care providers in reading and analyzing lung CT images to segment, classify, and keep track of nodules for signs of cancer. In this thesis, we propose a CADx system for this purpose. To predict lung nodule malignancy, we propose a new deep learning framework that combines Convolutional Neural Networks (CNN) and …
Multimodal Emotion Classification,
2019
Indian Institute of Technology Kharagpur
Multimodal Emotion Classification, Anurag Illendula, Amit Sheth
Publications
Most NLP and Computer Vision tasks are limited to scarcity of labelled data. In social media emotion classification and other related tasks, hashtags have been used as indicators to label data. With the rapid increase in emoji usage of social media, emojis are used as an additional feature for major social NLP tasks. However, this is less explored in case of multimedia posts on social media where posts are composed of both image and text. At the same time, w.e have seen a surge in the interest to incorporate domain knowledge to improve machine understanding of text. In this paper, …
Knowledge-Aware Assessment Of Severity Of Suicide Risk For Early Intervention,
2019
Wright State University
Knowledge-Aware Assessment Of Severity Of Suicide Risk For Early Intervention, Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randon S. Welton, Jyotishman Pathak
Publications
Mental health illness such as depression is a significant risk factor for suicide ideation, behaviors, and attempts. A report by Substance Abuse and Mental Health Services Administration (SAMHSA) shows that 80% of the patients suffering from Borderline Personality Disorder (BPD) have suicidal behavior, 5-10% of whom commit suicide. While multiple initiatives have been developed and implemented for suicide prevention, a key challenge has been the social stigma associated with mental disorders, which deters patients from seeking help or sharing their experiences directly with others including clinicians. This is particularly true for teenagers and younger adults where suicide is the second …
Classification Of The 4 Stages Of Diabetic Retinopathy Using A Low Complexity Convolutional Neural Network.,
2019
University of Louisville
Classification Of The 4 Stages Of Diabetic Retinopathy Using A Low Complexity Convolutional Neural Network., Zeliha Ogur
Electronic Theses and Dissertations
Diabetic Retinopathy is an eye disease that affects the blood vessels of the retina tissue found in the back of the eye. The blood vessels in the retina discharge fluid or cause hemorrhage when affected by diabetic retinopathy. It leads to loss of eye vision with people with diabetics and also among working adults. The disease may advance in four stages which include Mild nonproliferative, moderate nonproliferative, severe nonproliferative and proliferative diabetic retinopathy. In the mild stage also known as background retinopathy, lumps occur in the blood vessel and distort a little amount of blood. At this stage, you are …
Asynchronous Circuit Synthesis Using Multi-Threshold Null Convention Logic,
2019
University of Arkansas, Fayetteville
Asynchronous Circuit Synthesis Using Multi-Threshold Null Convention Logic, Nicholas Renoudet Mize
Graduate Theses and Dissertations
As the demand for an energy-efficient alternative to traditional synchronous circuit design grows, hardware designers must reconsider the traditional clock tree. By doing away with the constrains of a clock, asynchronous sequential circuit designs can achieve a much greater level of efficiency. The utilization of asynchronous logic synthesis flows has enabled researchers to better implement asynchronous circuit designs which have been optimized using the same industry standard tools that are already used in sequential synchronous designs. This thesis offers a new flow for such tools which implements the MTNCL asynchronous circuit architecture.
Towards A Prototype Platform For Ros Integrations On A Ground Robot,
2019
University of Arkansas, Fayetteville
Towards A Prototype Platform For Ros Integrations On A Ground Robot, Taylor Joseph Linville Whitaker
Graduate Theses and Dissertations
The intent of this work was to develop, evaluate, and demonstrate a prototype robot platform on which ROS integrations could be explored. With observations of features and requirements of existing industrial and service mobile ground robots, a platform was designed and outfitted with appropriate components to enable the most common operational-critical functionalities and account for unforeseen components and features. The resulting Arlo Demonstration Robot accommodates basic mapping, localization, and navigation in both two and three-dimensional space as well as additional safety and teleoperation features. The control system is centered around the Zybo Z7 FPGA SoC hosting a custom hardware design. …
Enhanced Security System With Image Feature Identification,
2019
CUNY New York City College of Technology
Enhanced Security System With Image Feature Identification, Musharrat Chowdhury
Publications and Research
Open source hardware and software will be used to acquire camera images and recognize and identify objects of interest in the image that would be used in new or existing personal security system. The mechanism of this system rotates either automatically or manually to track a face when a human is within view of the camera. The biometric security recognition system is a real world applications with complex effects of illumination and imaging conditions on live images.
Wavelet–Based Functional Data Analysis For Classification And Change Point Detection,
2019
Florida Institute of Technology
Wavelet–Based Functional Data Analysis For Classification And Change Point Detection, Nenad Mijatovic
Theses and Dissertations
Data collection and analysis, performed close to the source and transferred to other devices for different analysis, are the major paradigms of the Internet of Things (IoT). Usually, the raw data comes in the form of a time-series sequence that can be considered as functions, and as such can be examined by the functional analysis apparatus. Among others, the two major tasks in data analysis are (1) categorical signal classification and (2) change detection in signal statistical parameters. Here, we study both problems: featureless signal classification using discriminative interpolation regularized with the ℓ1 norm is performed using Classification by Discriminative …
Towards Fully Additively-Manufactured Permanent Magnet Synchronous Machines: Opportunities And Challenges,
2019
Marquette University
Towards Fully Additively-Manufactured Permanent Magnet Synchronous Machines: Opportunities And Challenges, Fan Wu, Ayman M. El-Refaie
Electrical and Computer Engineering Faculty Research and Publications
With the growing interest in electrification and as hybrid and pure electric powertrains are adopted in more applications, electrical machine design is facing challenges in terms of meeting very demanding performance metrics for example high specific power, harsh environments, etc. This provides clear motivation to explore the impact of advanced materials and manufacturing on the performance of electrical machines. This paper provides an overview of additive manufacturing (AM) approaches that can be used for constructing permanent magnet (PM) machines, with a specific focus on additively-manufactured iron core, winding, insulation, PM as well as cooling systems. Since there has only been …
Survey Of Insulation Systems In Electrical Machines,
2019
Marquette University
Survey Of Insulation Systems In Electrical Machines, Rasul Hemmati, Fan Wu, Ayman M. El-Refaie
Electrical and Computer Engineering Faculty Research and Publications
Insulating materials and insulation systems design have been gaining more attentions as more electrical machines tend to operate in harsher environments for various applications. Harsh environments include high temperature, humidity, erosion, low air pressure, etc. This paper discusses recent advances in insulation systems for electrical machines. Insulation tests as well as test standards that have been used to evaluate insulation systems and detect insulation failures will be discussed. Insulating materials used for a wide range of industrial applications such as wind turbine generators, aerospace hybrid/electric powertrain, and hydro generators have been summarized. For the emerging high-altitude, highvoltage aerospace applications, partial …
Paper Prototyping Comfortable Vr Play For Diverse Sensory Needs,
2019
University of California, Irvine
Paper Prototyping Comfortable Vr Play For Diverse Sensory Needs, Louanne E. Boyd, Kendra Day, Ben Wasserman, Kaitlyn Abdo, Gillian Hayes, Erik J. Linstead
Engineering Faculty Articles and Research
We co-designed paper prototype dashboards for virtual environments for three children with diverse sensory needs. Our goal was to determine individual interaction styles in order to enable comfortable and inclusive play. As a first step towards an inclusive virtual world, we began with designing for three sensory-diverse children who have labels of neurotypical, ADHD, and autism respectively. We focused on their leisure interests and their individual sensory profiles. We present the results of co-design with family members and paper prototyping sessions conducted by family members with the children. The results contribute preliminary empirical findings for accommodating different levels of engagement …
