An Acoustic-Based Approach For Condition Monitoring Of Pipes, 2017 Arkansas Tech University
An Acoustic-Based Approach For Condition Monitoring Of Pipes, Muhammad S. Khan, Turaj Ashuri, Mitchell Collins, Geoffrey Birkemeier, Emad Almohmmedali
Journal of the Arkansas Academy of Science
Polyvinyl chloride pipes are extensively used in municipal sewer systems. As the sewer system ages, polyvinyl chloride pipes become prone to developing cracks that can release toxic effluents into the environment. Traditionally, utility operators pass a close circuit television camera mounted on a guided vehicle through the pipe to monitor the defects. The video is observed by a trained operator who records the condition of the pipe. This arrangement has two major limitations. First, it is expensive due to complex set up. Second, if a pipe is blocked the guided vehicle cannot pass through its entire length. A more economical ...
Directional Modulation For Compact Devices, 2017 Dublin Institute of Technology
Directional Modulation For Compact Devices, Adam Narbudowicz
A new directional modulation system which uses radiation pattern data for modulation encoding is proposed. The approach allows compact multiport antennas (e.g. MIMO capable antennas) to be used for directional modulation, replacing extensive arrays. The modulation weighting coefficients are calculated with a fixed, antenna specific equation, thus reducing computational complexity. The solution is intended to enhance privacy in small, battery-operated wireless devices, required for “Internet of Things” applications.
Multi-Band Antenna Array Based On Double Negative Metamaterial For Multi Automotive Applications, 2017 Universiti Malaysia Perlis
Multi-Band Antenna Array Based On Double Negative Metamaterial For Multi Automotive Applications, Mohd Jamlos, Abdulrahman Alqadami,, Imtiaz Islam, Ping Soh, Rizalman Mamat, Khairil Khairi, Adam Narbudowicz
Nowadays, the demand for antennas in wireless communication system for automotive applications is rising at a rapid rate [1, 2]. Their usage includes collision avoidance system (CAS), Vehicle-to-vehicle communications, pre-crash safety systems, Global Positioning Systems (GPS), tyre pressure monitoring system (TPMS), Wireless Local Area Network (WLAN), etc. To enhance its effectiveness in these new applications, a small, multi-band, multi-functional antenna is required instead of conventional single band antennas [2, 3]. Such multifunctional antennas with favourable radiation characteristics are more practical in addressing modern antenna design requirements. However, the achievement of the above mentioned antenna’s features using conventional materials and ...
Effect Of Exponential Correlation Model On Spectral And Energy Efficiency For Massive Mimo Systems, 2017 University of Denver
Effect Of Exponential Correlation Model On Spectral And Energy Efficiency For Massive Mimo Systems, Saleh Albdran
Electronic Theses and Dissertations
During the past few years, the number of wireless devices has been increasing rapidly. Wireless networks are serving and connecting billions of wireless devices where these devices are demanding higher data rate and lower latency to be able to support voice, video and gaming applications. Moreover, the consumed energy by the wireless systems will be increasing. Hence, the Fifth generation (5G) wireless networks needs to provide higher data rate, serve larger number of users simultaneously and be more energy efficient. One of the promising technologies that can meet the above requirements is Massive Multiple Input Multiple Output (MIMO). The main ...
Optimal Capacity And Energy Efficiency Of Massive Mimo Systems, 2017 University of Denver
Optimal Capacity And Energy Efficiency Of Massive Mimo Systems, Ahmed Alshammari
Electronic Theses and Dissertations
A lot of effort has been made during the last two decades to study and apply the concepts of MIMO technology in most of the wireless standards. Therefore, a huge improvement in the performance of wireless communications has been made. However, Demand for wireless services has exponentially increased during the past ten years. Hence, high throughput is very important for all users to get the best experience with the offered services. This creates many technical challenges that are difficult to handle with the existing technology. Therefore, massive multiple input multiple output (massive MIMO) is a new technology that has been ...
Data-Centric Situational Awareness And Management In Intelligent Power Systems, 2017 University of Denver
Data-Centric Situational Awareness And Management In Intelligent Power Systems, Xiaoxiao Dai
Electronic Theses and Dissertations
The rapid development of technology and society has made the current power system a much more complicated system than ever. The request for big data based situation awareness and management becomes urgent today. In this dissertation, to respond to the grand challenge, two data-centric power system situation awareness and management approaches are proposed to address the security problems in the transmission/distribution grids and social benefits augmentation problem at the distribution-customer lever, respectively.
To address the security problem in the transmission/distribution grids utilizing big data, the first approach provides a fault analysis solution based on characterization and analytics of ...
Development Of Microgrid Test Bed For Testing Energy Management System, 2017 South Dakota State University
Development Of Microgrid Test Bed For Testing Energy Management System, Shaili Nepal
Electronic Theses and Dissertations
Today the world population has reached 7.5 billion, and this number is expected to grow at the rate of 1.13% every year . With this increase in population, the total demand for electricity has also increased. More people means the need for more power: electricity to power homes, schools, industries, hospitals, and so on. In today’s world, where most of the daily activities are dependent on electricity, demand for electricity, therefore, continues to rise. Currently, managing this growing need for electricity is one of the challenges the world is facing. In addition to this, approximately 1.2 ...
Intrusion Detection For Smart Grid Communication Systems, 2017 Georgia Southern University
Intrusion Detection For Smart Grid Communication Systems, Brycent Chatfield
Electronic Theses & Dissertations
Transformation of the traditional power grid into a smart grid hosts an array of vulnerabilities associated with communication networks. Furthermore, wireless mediums used throughout the smart grid promote an environment where Denial of Service (DoS) attacks are very effective. In wireless mediums, jamming and spoofing attack techniques diminish system operations thus affecting smart grid stability and posing an immediate threat to Confidentiality, Integrity, and Availability (CIA) of the smart grid. Intrusion detection systems (IDS) serve as a primary defense in mitigating network vulnerabilities. In IDS, signatures created from historical data are compared to incoming network traffic to identify abnormalities. In ...
Identification, Calculation And Warning Of Horizontal Curves For Low-Volume Two-Lane Roadways Using Smartphone Sensors, 2017 South Dakota State University
Identification, Calculation And Warning Of Horizontal Curves For Low-Volume Two-Lane Roadways Using Smartphone Sensors, Shaohu Zhang
Electronic Theses and Dissertations
Smartphones and other portable personal devices that integrate global positioning systems, Bluetooth Low Energy, and advanced computing technologies have become more accessible due to affordable prices, product innovation, and people’s desire to be connected. As more people own these devices, there are greater opportunities for data acquisition in Intelligent Transportation Systems, and for vehicle-to-infrastructure communication. Horizontal curves are a common factor in the number of observed roadway crashes. Identifying locations and geometric characteristics of the horizontal curves plays a critical role in crash prediction and prevention, and timely curve warnings save lives. However, most states in the US face ...
Variable Input Space Observer For Structural Health Monitoring Of High-Rate Systems, 2016 Iowa State University
Variable Input Space Observer For Structural Health Monitoring Of High-Rate Systems, Jonathan Hong, Simon Laflamme, Jacob Dodson
Some engineering systems experiencing high-rate dynamic events, including air bags, debris detection, and active blast protection systems, could benefit from high-rate real-time observers for enhanced performance. However, the task of high-rate state estimation is challenging, in particular for real-time applications where the rate of the observer’s convergence needs to be in the microsecond range. This paper discusses critical challenges in designing highrate observers, and argues that adaptive observers are promising at the task of state estimation, and that they could be applied at high-rates provided the development of strategies to substantially increase their convergence. A novel adaptive observer termed ...
Scenario Generation For Price Forecasting In Restructured Wholesale Power Markets, 2016 Iowa State University
Scenario Generation For Price Forecasting In Restructured Wholesale Power Markets, Qun Zhou, Leigh Tesfatsion, Chen-Ching Liu
Abstract: In current restructured wholesale power markets, the short length of time series for prices makes it difficult to use empirical price data to test existing price forecasting tools and to develop new price forecasting tools. This study therefore proposes a two-stage approach for generating simulated price scenarios based on the available price data. The first stage consists of an Autoregressive Moving Average (ARMA) model for determining scenarios of cleared demands and scheduled generator outages (D&O), and a moment-matching method for reducing the number of D&O scenarios to a practical scale. In the second stage, polynomials are fitted ...
Iso Net Surplus Collection And Allocation In Wholesale Power Markets Under Lmp, Hongyan Li, Leigh Tesfatsion
This study uses five-bus and 30-bus test cases to explore ISO net surplus (congestion rent) collections and allocations in wholesale power markets with grid congestion managed by locational marginal prices (LMPs). Price-sensitivity of demand and generator learning capabilities are taken as experimental treatment factors. A key finding is that conditions resulting in greater generator capacity withholding, hence higher and more volatile LMPs, also result in greater ISO net surplus collections that can be substantial in size. A key conclusion is that ISO net surplus collections should be used pro-actively to mitigate the conditions encouraging generator capacity withholding and hence high ...
Development Of Open Source Software For Power Market Research: The Ames Test Bed, 2016 Iowa State University
Development Of Open Source Software For Power Market Research: The Ames Test Bed, Hongyan Li, Leigh Tesfatsion
Open source software (OSS) expresses the idea that developers should be able to license the publication of their software in a manner permitting anyone to freely use, modify and distribute the software. Today OSS is widely used in the software industry: for example, for language development tools (eg, NetBeans for Java), office document processors (eg, OpenOffice) and operating systems (eg, Linux, OpenSolaris).Yet OSS has been slow to penetrate the power industry; heavy reliance is still placed on closed-source commercial software packages. Open source software tends to be used for specialized purposes (eg, circuit design) rather than for the general-purpose ...
Integrated Retail And Wholesale Power System Operation With Smart-Grid Functionality, 2016 Iowa State University
Integrated Retail And Wholesale Power System Operation With Smart-Grid Functionality, Dionysios C. Aliprantis, Scott Penick, Leigh Tesfatsion
Our research team is developing an agent-based test bed for the integrated study of retail and wholesale power markets operating over transmission and distribution networks with smart-grid functionality. This test bed seams together two existing test beds, the AMES Wholesale Power Market Test Bed and the GridLAB-D distribution platform. As a first step, we have designed an integrated retail/wholesale market module specifically based on the ERCOT (Texas) energy region, and we are using simplified versions of this module to study potential retail consumer response to real-time-pricing contracts supported by advanced metering. This study reports on the latter work.
Intelligent Residential Air-Conditioning System With Smart-Grid Functionality, 2016 Iowa State University
Intelligent Residential Air-Conditioning System With Smart-Grid Functionality, Auswin George Thomas, Pedram Jahangiri, Di Wu, Chengrui Cai, Huan Zhao, Dioysios C. Aliprantis, Leigh Tesfatsion
This paper sets forth a novel intelligent residential air-conditioning (A/C) system controller that has smart grid functionality. The qualifier “intelligent” means the A/C system has advanced computational capabilities and uses an array of environmental and occupancy parameters in order to provide optimal intertemporal comfort/cost trade-offs for the resident, conditional on anticipated retail energy prices. The term “smart-grid functionality” means that retail energy prices can depend on wholesale energy prices. Simulation studies are used to demonstrate the capabilities of the proposed A/C system controller.
Development Of An Agent-Based Distribution Test Feeder With Smart-Grid Functionality, 2016 Iowa State University
Development Of An Agent-Based Distribution Test Feeder With Smart-Grid Functionality, Pedram Jahangiri, Di Wu, Wanning Li, Dionysios C. Aliprantis, Leigh Tesfatsion
This paper reports on the development of an agent-based distribution test feeder with smart-grid functionality. The test feeder is based on an actual distribution feeder with various additional features incorporated, including rooftop photovoltaic generation and price-responsive loads (e.g., plug-in electric vehicles and intelligent air-conditioning systems). This work aims to enable the integrated study of wholesale electric power markets coupled with detailed representations of the retail-side distribution systems.
Capacity Withholding In Restructured Wholesale Power Markets: An Agent-Based Test Bed Study, 2016 Iowa State University
Capacity Withholding In Restructured Wholesale Power Markets: An Agent-Based Test Bed Study, Hongyan Li, Leigh Tesfatsion
This study uses a dynamic 5-bus test case implemented via the AMES Wholesale Power Market Test Bed to investigate strategic capacity withholding by generation companies (GenCos) in restructured wholesale power markets under systematically varied demand conditions. The strategic behaviors of the GenCos are simulated by means of a stochastic reinforcement learning algorithm motivated by human-subject laboratory experiments. The learning GenCos attempt to improve their earnings over time by strategic selection of their reported supply offers. This strategic selection can involve both physical capacity withholding (reporting of lower-than-true maximum operating capacity) and economic capacity withholding (reporting of higher-than-true marginal costs). We ...
Modelling And Analysis Of Smart Grids For Critical Data Communication, 2016 The University of Western Ontario
Modelling And Analysis Of Smart Grids For Critical Data Communication, Abdulfattah Noorwali
Electronic Thesis and Dissertation Repository
Practical models for the subnetworks of smart grid are presented and analyzed. Critical packet-delay bounds for these subnetworks are determined, with the overall objective of identifying parameters that would help in the design of smart grid with least end-to-end delay.
A single-server non-preemptive queueing model with prioritized critical packets is presented for Home Area Network (HAN). Closed-form expressions for critical packet delay are derived and illustrated as a function of: i) critical packet arrival rate, ii) service rate, iii) utilization factor, and iv) rate of arrival of non-critical packets. Next, wireless HANs using FDMA and TDMA are presented. Upper and ...
Data Logging System For A Synthetic Aperture Radar Unit, 2016 Kennesaw State University
Data Logging System For A Synthetic Aperture Radar Unit, Nicholas J. Testin, Philip Davis, Ian Dorell, Alexander Gillespie
Honors College Capstones and Theses
A small, existing radar unit lacked the ability to automatically store the data it was receiving, which made its use clunky and cumbersome. A system was constructed to allow an on-board microprocessor to track distance traveled, and automatically store the data output from the radar unit to a portable memory unit for later data processing. Distance traveled is determined using a specially designed mobile cart, which electronically converts the rotation of a wheel into an electrical signal while also providing stability for taking accurate radar measurements. The output data from the radar unit is stored as a properly-formatted sound file ...
A Quantitative Measure Of Mono-Componentness For Time-Frequency Analysis, 2016 University of Tennessee, Knoxville
A Quantitative Measure Of Mono-Componentness For Time-Frequency Analysis, Austin P. Albright
Joint time-frequency (TF) analysis is an ideal method for analyzing non-stationary signals, but is challenging to use leading to it often being neglected. The exceptions being the short-time Fourier transform (STFT) and spectrogram. Even then, the inability to have simultaneously high time and frequency resolution is a frustrating issue with the STFT and spectrogram. However, there is a family of joint TF analysis techniques that do have simultaneously high time and frequency resolution – the quadratic TF distribution (QTFD) family. Unfortunately, QTFDs are often more troublesome than beneficial. The issue is interference/cross-terms that causes these methods to become so difficult ...