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Directional Modulation For Compact Devices, Adam Narbudowicz 2017 Dublin Institute of Technology

Directional Modulation For Compact Devices, Adam Narbudowicz

Articles

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.


Industrial Wireless Sensor Networks 2016, Qindong Sun, Schancang Li, Shanshan Zhao, Hongjian Sun, Li Xu, Arumugam Nallamathan 2017 Old Dominion University

Industrial Wireless Sensor Networks 2016, Qindong Sun, Schancang Li, Shanshan Zhao, Hongjian Sun, Li Xu, Arumugam Nallamathan

Information Technology & Decision Sciences Faculty Publications

The industrial wireless sensor network (IWSN) is the next frontier in the Industrial Internet of Things (IIoT), which is able to help industrial organizations to gain competitive advantages in industrial manufacturing markets by increasing productivity, reducing the costs, developing new products and services, and deploying new business models.


Semantic Inference On Clinical Documents: Combining Machine Learning Algorithms With An Inference Engine For Effective Clinical Diagnosis And Treatment, Shuo Yang, Ran Wei, Jingzhi Guo, Lida Xu 2017 Old Dominion University

Semantic Inference On Clinical Documents: Combining Machine Learning Algorithms With An Inference Engine For Effective Clinical Diagnosis And Treatment, Shuo Yang, Ran Wei, Jingzhi Guo, Lida Xu

Information Technology & Decision Sciences Faculty Publications

Clinical practice calls for reliable diagnosis and optimized treatment. However, human errors in health care remain a severe issue even in industrialized countries. The application of clinical decision support systems (CDSS) casts light on this problem. However, given the great improvement in CDSS over the past several years, challenges to their wide-scale application are still present, including: 1) decision making of CDSS is complicated by the complexity of the data regarding human physiology and pathology, which could render the whole process more time-consuming by loading big data related to patients; and 2) information incompatibility among different health information systems (HIS ...


Accurate Acoustic Ranging System Using Android Smartphones, mohammadbagher fotouhi 2017 Virginia Commonwealth University

Accurate Acoustic Ranging System Using Android Smartphones, Mohammadbagher Fotouhi

Theses and Dissertations

ACCURATE ACOUSTIC RANGING SYSTEM USING ANDROID SMARTPHONES

By Mohammadbagher Fotouhi, Master of Science

A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science at Virginia Commonwealth University

Virginia Commonwealth University 2017

Major Director: Dr. Ruixin Niu, Associate Professor of Department of Electrical and Computer Engineering

In this thesis, we present the design, implementation, and evaluation of an android ranging system, a high-accuracy acoustic-based ranging system which allows two android mobile phones to learn their physical distance from each other.

In this system we propose a practical solution for accurate ranging based on acoustic communication ...


Customizing Vehicular Ad Hoc Networks To Individual Drivers And Traffic Conditions, Ali Rakhshan 2017 University of Massachusetts Amherst

Customizing Vehicular Ad Hoc Networks To Individual Drivers And Traffic Conditions, Ali Rakhshan

Doctoral Dissertations

This dissertation studies the ability to individualize vehicular ad hoc networks (VANETs) in order to improve safety. Adapting a VANET to both its individual drivers' characteristics and traffic conditions enables it to transmit in a smart manner to other vehicles. This improvement is now possible due to the progress that is being made in VANETs.

To accomplish this adaptation, our approach is to use VANET data to learn drivers' characteristics. This information along with the traffic data, can be used to customize the VANETs to individual drivers. In this dissertation, we show that this process benefits all the drivers by ...


Magneto Inductive Communication System For Underwater Wireless Sensor Networks, Niaz Ahmed 2017 Missouri University of Science and Technology

Magneto Inductive Communication System For Underwater Wireless Sensor Networks, Niaz Ahmed

Doctoral Dissertations

"Underwater wireless sensor networks have found a number of applications in underwater environment monitoring, infrastructure monitoring, military applications and ocean exploration. Among the four possible means of underwater wireless communication, namely acoustic, electromagnetic (EM), magneto-inductive (MI) and optics communication, MI communication enjoys the advantages of being low cost and robust equally in air, water and soil. This dissertation presents design and implementation of a low-power and low-cost MI sensor network node that is suited for long-term deployment of underwater and underground infrastructure monitoring, such as bridge scour and levee scour monitoring. The designed MI sensor node combat the directionality of ...


Power Budgets For Cubesat Radios To Support Ground Communications And Inter-Satellite Links, Otilia Popescu 2017 Old Dominion University

Power Budgets For Cubesat Radios To Support Ground Communications And Inter-Satellite Links, Otilia Popescu

Engineering Technology Faculty Publications

CubeSats are a class of pico-satellites that have emerged over the past decade as a cost-effective alternative to the traditional large satellites to provide space experimentation capabilities to universities and other types of small enterprises, which otherwise would be unable to carry them out due to cost constraints. An important consideration when planning CubeSat missions is the power budget required by the radio communication subsystem, which enables a CubeSat to exchange information with ground stations and/or other CubeSats in orbit. The power that a CubeSat can dedicate to the communication subsystem is limited by the hard constraints on the ...


Design And Implementation Of An Improved Android Application For Bard Shuttle Services, Chance O'Neihl Wren 2017 Bard College

Design And Implementation Of An Improved Android Application For Bard Shuttle Services, Chance O'Neihl Wren

Senior Projects Spring 2017

With the growing population of Bard College, the need for the college’s shuttle system continues to grow. As a result, enabling the Bard community to quickly and easily access the shuttle schedules and times, has also become more important in the daily of life of Bard College's inhabitants. Although Bard College has a mobile application for Android and iPhone mobile devices alike, there was a growing demand for a new improved shuttle application for Android mobile devices. This project seeks to improve the functionality, user friendliness, and availability of shuttle schedules to the Bard Community, in the form ...


A Host Board Design For An Experiment System Of Underwater Wireless Sensor Networks, He Huang 2017 Michigan Technological University

A Host Board Design For An Experiment System Of Underwater Wireless Sensor Networks, He Huang

Dissertations, Master's Theses and Master's Reports

Evaluation of theoretical innovation in field experiments plays an important role for research in Underwater Wireless Sensor Networks (UWSNs). During the experiments, the problems of power consumption, costs, and assembly of underwater nodes concern researchers all the time. This project develops a host board for an UWSNs field experiment system. This host board solves the above problems by deploying power management module, utilizing cheap and low power consumption chips (Raspberry Pi and MSP430), and rationalizing layout.

The main functions of the host board include battery monitoring, on-board DC converters, remotely power supply control, data ports bridge, and pluggable module for ...


Qos Recommendation In Cloud Services, Xianrong Zheng, Li Da Xu, Sheng Chai 2017 Old Dominion University

Qos Recommendation In Cloud Services, Xianrong Zheng, Li Da Xu, Sheng Chai

Information Technology & Decision Sciences Faculty Publications

As cloud computing becomes increasingly popular, cloud providers compete to offer the same or similar services over the Internet. Quality of service (QoS), which describes how well a service is performed, is an important differentiator among functionally equivalent services. It can help a firm to satisfy and win its customers. As a result, how to assist cloud providers to promote their services and cloud consumers to identify services that meet their QoS requirements becomes an important problem. In this paper, we argue for QoS-based cloud service recommendation, and propose a collaborative filtering approach using the Spearman coefficient to recommend cloud ...


Development Of Microgrid Test Bed For Testing Energy Management System, Shaili Nepal 2017 South Dakota State University

Development Of Microgrid Test Bed For Testing Energy Management System, Shaili Nepal

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 [1]. 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 ...


Identification, Calculation And Warning Of Horizontal Curves For Low-Volume Two-Lane Roadways Using Smartphone Sensors, Shaohu Zhang 2017 South Dakota State University

Identification, Calculation And Warning Of Horizontal Curves For Low-Volume Two-Lane Roadways Using Smartphone Sensors, Shaohu Zhang

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 ...


Target Read Operation Of Passive Ultra High Frequency Rfid Tag In A Multiple Tags Environment, Zi Qin Phua 2017 University of Kentucky

Target Read Operation Of Passive Ultra High Frequency Rfid Tag In A Multiple Tags Environment, Zi Qin Phua

Theses and Dissertations--Mechanical Engineering

Passive ultra-high frequency (UHF) radio frequency Identification (RFID) has emerged as a promising solution for many industrial applications. Passive UHF systems are relatively inexpensive to implement and monitor, as no line of sight is required for the communication. There are several advantages to using a passive RFID system. For example, no internal power source is required to activate the tags, and lower labor costs and efficient multitasking operations are expected in a long term scenario. However, due to factors such as tag-to-tag interference and inaccurate localization, RFID tags that are closely spaced together are difficult to detect and program accurately ...


Experimental Investigation Of Reading Passive Uhf Tags In A Multi-Tag Environment, Yi Zhou 2017 University of Kentucky

Experimental Investigation Of Reading Passive Uhf Tags In A Multi-Tag Environment, Yi Zhou

Theses and Dissertations--Mechanical Engineering

Recently, the Internet of things (IoT) has emerged as a promising solution for several industrial applications. One of the key components in IoT is passive radio frequency identification (RFID) tags which do not require a power source for operations. Specifically, ultra-high frequency (UHF) tags are studied in this paper. However, due to factors such as tag-to-tag interference and inaccurate localization, RFID tags that are closely spaced together are difficult to detect and program accurately with unique identifiers. This thesis investigates several factors that affect the ability to encode a specific tag with unique information in the presence of other tags ...


Variable Input Space Observer For Structural Health Monitoring Of High-Rate Systems, Jonathan Hong, Simon Laflamme, Jacob Dodson 2016 Iowa State University

Variable Input Space Observer For Structural Health Monitoring Of High-Rate Systems, Jonathan Hong, Simon Laflamme, Jacob Dodson

Simon Laflamme

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, Qun Zhou, Leigh Tesfatsion, Chen-Ching Liu 2016 Iowa State University

Scenario Generation For Price Forecasting In Restructured Wholesale Power Markets, Qun Zhou, Leigh Tesfatsion, Chen-Ching Liu

Leigh Tesfatsion

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 ...


Development Of An Agent-Based Distribution Test Feeder With Smart-Grid Functionality, Pedram Jahangiri, Di Wu, Wanning Li, Dionysios C. Aliprantis, Leigh Tesfatsion 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

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.


Iso Net Surplus Collection And Allocation In Wholesale Power Markets Under Lmp, Hongyan Li, Leigh Tesfatsion 2016 ABB Inc.

Iso Net Surplus Collection And Allocation In Wholesale Power Markets Under Lmp, Hongyan Li, Leigh Tesfatsion

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, Hongyan Li, Leigh Tesfatsion 2016 Iowa State University

Development Of Open Source Software For Power Market Research: The Ames Test Bed, Hongyan Li, Leigh Tesfatsion

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, Dionysios C. Aliprantis, Scott Penick, Leigh Tesfatsion 2016 Iowa State University

Integrated Retail And Wholesale Power System Operation With Smart-Grid Functionality, Dionysios C. Aliprantis, Scott Penick, Leigh Tesfatsion

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.


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