Open Access. Powered by Scholars. Published by Universities.®

Electrical and Computer Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

25,146 Full-Text Articles 30,186 Authors 10,222,325 Downloads 189 Institutions

All Articles in Electrical and Computer Engineering

Faceted Search

25,146 full-text articles. Page 5 of 738.

Super Education For Supercomputers, Ezgi Gursel, Jeremy Evert 2020 Southwestern Oklahoma State University

Super Education For Supercomputers, Ezgi Gursel, Jeremy Evert

Student Research

Supercomputing (1 OOX more powerful than a desktop) allows organizations to solve complex problems that are not easily studied in any other way (ex. Blue Waters to simulate the known universe since the beginning of time for the design of the James Webb telescope). Producing qualified individuals to take advantage of the growing number of supercomputing jobs is a constant struggle. This poster provides an overview of education in supercomputing, explains how training occurs, and describes some of the key players working to educate a taskforce to deal with these highly complex machines.


Innovation In Pedagogy And Technology Symposium, 2019: Selected Conference Proceedings, University of Nebraska Online, University of Nebraska Information Technology Services 2020 University of Nebraska - Lincoln

Innovation In Pedagogy And Technology Symposium, 2019: Selected Conference Proceedings, University Of Nebraska Online, University Of Nebraska Information Technology Services

Zea E-Books

Advancing Technology in Education at the University of Nebraska, May 7, 2019

Welcome Address • Susan Fritz, Ph.D., Executive Vice President and Provost, University of Nebraska 6

Opening Remarks • Mary Niemiec, Associate Vice President for Digital Education, Director of University of Nebraska Online 6

Keynote Presentation: Shaping the Next Generation of Higher Education • Bryan Alexander, Ph.D. 6

Featured Extended Presentation: Redesigning Courses & Determining Effectiveness Through Research • Tanya Joosten, University of Wisconsin-Milwaukee (UWM), Erin Blankenship, Ph.D. (UNL), Ella Burnham (UNL), Nate Eidem, Ph.D. (UNK), Marnie Imhoff (UNMC), Linsey Donner (UNMC), Ellie Miller (UNMC) 7

5 Ways to Utilize ...


Neca Ghana Project, Michael T. Klee 2020 California Polytechnic State University, San Luis Obispo

Neca Ghana Project, Michael T. Klee

Construction Management

Cal Poly’s motto is, “Learn by Doing" and for Cal Poly’s NECA Chapter, this isn’t simply a motto, but a directive for proactive change. For my senior project I will be leading the Cal Poly NECA chapter in the design, pre- fabrication and construction of a 5-7kw solar array, community center, ice production room and technology room in the remote fishing village of Agbokpa, Ghana. The solar array will power multiple industrial DC freezers, high efficiency LED lighting and charging stations while additionally powering water filtration and irrigation systems. Like many other fishing villages around the world ...


Design Of Attack-Resilient System For Wide-Area Monitoring, Protection, And Control In Smart Grid, Vivek Kumar Singh, Manimaran Govindarasu 2020 Iowa State University

Design Of Attack-Resilient System For Wide-Area Monitoring, Protection, And Control In Smart Grid, Vivek Kumar Singh, Manimaran Govindarasu

Electrical and Computer Engineering Publications

Can you imagine that a simple cyber-attack can turn your lights off? Do you know more than a dozen U.S. utilities have been constantly targeted through cyber-attacks within the past year? The solution - an attack-resilient grid infrastructure that can quickly detect stealthy cyber-attacks and provide an intelligent incident response to restore the normal grid condition.


Artificial Intelligence Ethics: Governance Through Social Media, Ross Arnold, Jorge Buenfil, Benjamin Abruzzo, Christopher Korpela 2020 U.S. Army CCDC-AC

Artificial Intelligence Ethics: Governance Through Social Media, Ross Arnold, Jorge Buenfil, Benjamin Abruzzo, Christopher Korpela

West Point Research Papers

A proposal is presented to facilitate machine self-learning of ethical behavior via human-curated training using online human behavioral data such as that found on social media and related sites. The proposed training data set is a mixture of human behavioral data found on social media and related sites that exhibit a wide variety of both ethical and unethical behavior which can help an artificially intelligent machine make ethical decisions during the process of solving real-world problems. The rapid proliferation of artificial intelligence (AI) applications worldwide highlights the need for normativity to protect individual rights, such as privacy, and the promotion ...


Development Of A Drone-Mounted Wireless Attack Platform, Nathan V. Barker 2020 Air Force Institute of Technology

Development Of A Drone-Mounted Wireless Attack Platform, Nathan V. Barker

Theses and Dissertations

The commercial drone market has grown rapidly due to the increasing utility and capabilities of drones. This new found popularity has made it possible for inexpensive drones capable of impressive carry capacities and flight times to reach the consumer market. These new features also offer an invaluable resource to wireless hackers. Capitalizing on their mobility, a wireless hacker can equip a drone with hacking tools to surpass physical security (e.g. fences) with relative ease and reach wireless networks. This research seeks to experimentally evaluate the ability of a drone-mounted wireless attack platform equipped with a directional antenna to conduct ...


Optimized Off-Grid Energy Systems Using Climate-Based Energy Demand For Soft-Walled Facilities, Jay F. Pearson 2020 Air Force Institute of Technology

Optimized Off-Grid Energy Systems Using Climate-Based Energy Demand For Soft-Walled Facilities, Jay F. Pearson

Theses and Dissertations

Remote contingency military operations often require the use of temporary facilities powered by inefficient diesel generators that are expensive to operate and maintain. Site planners can reduce operating costs by augmenting generators with hybrid energy systems, but they must select the optimal design configuration based on the region’s climate to meet the power demand at the lowest cost. To assist planners, this paper proposes two innovative, climate-optimized, hybrid energy system selection models. The first model is capable of selecting the facility insulation type, solar array size, and battery backup system to minimize the annual operating cost. The Hybrid Energy ...


Detection Of Reconnection Signatures In Solar Flares, Taylor R. Whitney 2020 Air Force Institute of Technology

Detection Of Reconnection Signatures In Solar Flares, Taylor R. Whitney

Theses and Dissertations

Solar flare forecasting is limited by the current understanding of mechanisms that govern magnetic reconnection, the main physical phenomenon associated with these events. As a result, forecasting relies mainly on climatological correlations to historical events rather than the underlying physics principles. Solar physics models place the neutral point of the reconnection event in the solar corona. Correspondingly, studies of photospheric magnetic fields indicate changes during solar flares -- particularly in relation to the field helicity -- on the solar surface as a result of the associated magnetic reconnection. This study utilizes data from the Solar Dynamics Observatory (SDO) Helioseismic and Magnetic Imager ...


Synthesizing General Electromagnetic Partially Coherent Sources From Random, Correlated Complex Screens, Milo W. Hyde IV 2020 Air Force Institute of Technology

Synthesizing General Electromagnetic Partially Coherent Sources From Random, Correlated Complex Screens, Milo W. Hyde Iv

Faculty Publications

We present a method to generate any genuine electromagnetic partially coherent source (PCS) from correlated, stochastic complex screens. The method described here can be directly implemented on existing spatial-light-modulator-based vector beam generators and can be used in any application which utilizes electromagnetic PCSs. Our method is based on the genuine cross-spectral density matrix criterion. Applying that criterion, we show that stochastic vector field realizations (corresponding to a desired electromagnetic PCS) can be generated by passing correlated Gaussian random numbers through “filters” with space-variant transfer functions. We include step-by-step instructions on how to generate the electromagnetic PCS field realizations. As an ...


Analyzing Cost Effectiveness Of Photovoltaic Pavements, Ian N. Parks 2020 Air Force Institute of Technology

Analyzing Cost Effectiveness Of Photovoltaic Pavements, Ian N. Parks

Theses and Dissertations

The United States Air Force (USAF) is the largest consumer of energy within the Department of Defense (DoD). As such, the USAF is continually looking for ways to reduce consumption, as well improving network resiliency and assuring supply. One potential method for addressing these items is focusing on applications of renewable energy. A specific application of renewable energy that could greatly benefit the USAF if viable would be photovoltaic (PV) pavements. PV pavements would be able to capitalize upon the large swathes of pavements on Air Force (AF) installations, while not being hampered by other concerns such as clear zones ...


Golng Off The Grid: Optimizing Solar Renewable Energy Systems At Remote Locations To Minimize Logistics Requirements, Increase Sustainability, And Strengthen Energy Assurance, Nathanael J. Thomsen 2020 Air Force Institute of Technology

Golng Off The Grid: Optimizing Solar Renewable Energy Systems At Remote Locations To Minimize Logistics Requirements, Increase Sustainability, And Strengthen Energy Assurance, Nathanael J. Thomsen

Theses and Dissertations

Grid-based electrical infrastructure is unavailable at many remote locations including developing nation communities, isolated construction sites, and military contingency bases. Powering these locations with diesel generators requires regular fuel resupply, resulting in increased costs, environmental impacts, and burdensome logistics—making generators an obstacle for energy resiliency and sustainability. This research examines using solar renewable energy systems to replace generators at remote locations and presents a multi-objective optimization model that minimizes logistics variables. Replacing a single deployed generator would save over 500,000 gal of fuel annually, eliminating the need for 100 fuel tanker deliveries.


Precise Measuring Cells For Quantitative And Qualitative Measurement, A.A. Begunov, B.M. Akhmedov, R.A. Ibragimov 2020 Doctor of Technical Sciences, Professor, Department of Automation and Automation of Production Processes, St. Petersburg Institute of Management and Food Technologies, Address: nab. Griboedov Canal, 7, 191186, St. Petersburg, Russia,

Precise Measuring Cells For Quantitative And Qualitative Measurement, A.A. Begunov, B.M. Akhmedov, R.A. Ibragimov

Chemical Technology, Control and Management

The main provisions considered in assessing the accuracy of methods and measurement results are considered. It is shown that in the experimental assessment of various accuracy indicators, and also when analyzing the content of components in various gaseous media, the sorption-gravimetric measurement method is widely used, methods for measuring the mass of the sorbent and possible sources of error of this technique. Methods of measuring the mass of gas using specific surface areas, including taking into account the contact of gas with a solid material, and also, the amount of adsorbed gas and its pressure, temperature, type and size of ...


Techniques To Solve Decision-Making Problems, Dilnoz Tulkunovna Muhamediyeva, Bekmuratov Fayzievich Tulkun 2020 Scientific and Innovation Center of Information and Communication Technologies at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Address: Amir Temurstreet, 108, 100200, Tashkent city, Republic of Uzbekistan, Phone:+998-95-195-47-52

Techniques To Solve Decision-Making Problems, Dilnoz Tulkunovna Muhamediyeva, Bekmuratov Fayzievich Tulkun

Chemical Technology, Control and Management

Solving decision-making problems in poorly formalized systems only with the help of deterministic and probabilistic methods is insufficient. To do this, it is necessary to widely apply the methods of hybrid intelligent systems and, especially, the methods of “soft” calculations (SoftCalculation, SoftComputing) and the directions of ComputationalIntelligence — intelligent computing technologies that are emerging on this theoretical and methodological base. An immune - fuzzy algorithm for the synthesis of fuzzy inference systems (FIS) is proposed. A two-stage adaptive FIS synthesis algorithm is described. At the first stage, the initial fuzzy parameters are clustered in order to reduce the number of input parameters ...


Features Of Hydration Process, Structure Formation And Curing Processes Of Mono And Polymineral Cement In The Presence Of Additives Of Solid Waste Of Soda Production, Nargis Shamadinova, Gulnora Abdukadirovna Tokhtakhunova PhD, Temur Azimovich Atakuziev, Shakhnoza Saidanvarovna Rakhimjanova 2020 Tashkent Chemical-Technogical Institute, Uzbekistan

Features Of Hydration Process, Structure Formation And Curing Processes Of Mono And Polymineral Cement In The Presence Of Additives Of Solid Waste Of Soda Production, Nargis Shamadinova, Gulnora Abdukadirovna Tokhtakhunova Phd, Temur Azimovich Atakuziev, Shakhnoza Saidanvarovna Rakhimjanova

Chemical Technology, Control and Management

The influence of the additive of solid waste of soda production (SWSP) on the content of -C2S and C3S in cement studied. It was found that SWSP affects the density of the aluminum-containing minerals C3A and C4AF, in addition, in the presence of gypsum, their plasticizing properties improved. The introduction of SWSP additives during grinding of clinker intensifies the grinding process and made it possible to obtain a more plastic cement. It was proved that SWSP with CaCl2 content can be used as an additive to concrete and cement mortars - this ...


Controlling And Forecasting The Reliability Of Integrated Circuits Of Radio Systems Transmitting Information, Abdulaziz M. Nazarov Prof, Dilmurod A. Davronbekov Prof. 2020 Tashkent State Technical University, Uzbekistan

Controlling And Forecasting The Reliability Of Integrated Circuits Of Radio Systems Transmitting Information, Abdulaziz M. Nazarov Prof, Dilmurod A. Davronbekov Prof.

Chemical Technology, Control and Management

The issues of forecasting the reliability of integrated circuits, which are the main element base of modern radio engineering information transmission systems, are considered. Methods of parametric and functional control are described to determine the correspondence of the static and dynamic parameters of microcircuits to the required values. A combined method for determining the operating parameters of microcircuits is also described. The advantage of this method in addition to the two above methods is indicated that it combines the function of controlling the operation of the entire control system. Two approaches for predicting reliability are given, as well as mathematical ...


Investigating The Solution Properties Of Population Model Of Cross-Diffusion Model With Double Nonlinearity And With Variable Density, Dildora Kabilovna Muhamediyeva 2020 Scientific and Innovation Center of Information and Communication Technologies at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Address: Amir Temur street, 108, 100200, Tashkent city, Republic of Uzbekistan

Investigating The Solution Properties Of Population Model Of Cross-Diffusion Model With Double Nonlinearity And With Variable Density, Dildora Kabilovna Muhamediyeva

Chemical Technology, Control and Management

The models of two competing populations with double nonlinear diffusion and three types of functional dependencies are considered. The first dependence corresponds to the Malthusian type, the second to the Verhühlst type (logistic population), and the third to Olli-type populations. A common element of this kind of description is the presence of a linear source. Nonlinear sinks are also present in descriptions of populations of the Verhulst and Ollie type. Suitable initial approximations for a rapidly converging iterative process are proposed. Based on a self-similar analysis and comparison of the solutions of the Cauchy problem in the domain for an ...


Steady Algorithms For Synthesis Of Multidimensional Controlling Systems With Incomplete Information About The Object State, Uktam Farkhodovich Mamirov 2020 PhD., Department Tashkent State Technical University, Tel.: (+99890) 900-56-25

Steady Algorithms For Synthesis Of Multidimensional Controlling Systems With Incomplete Information About The Object State, Uktam Farkhodovich Mamirov

Chemical Technology, Control and Management

In this paper, questions of forming and creation of steady synthesis algorithms of multidimensional controlling systems at incomplete information on object status are considered. It is shown that the matrix of feedback coupling on a status at the complete information is not determined. The different algorithms of steady calculation of a matrix pseudo-inverse to the matrix of outputs using these or those decomposition of matrixes are analyzed. Algorithms of iterative specification of a required solution of "skeletal" decomposition are given. The given expressions allow synthesizing the simplified computing procedures of synthesis of multidimensional controlling systems at incomplete information on object ...


Neuro-Fuzzy Modeling For Predictive Control Systems With Complex Technological Processes And Production, Yusupbekov Nodirbek, Shukhrat Gulyamov, Malika Doshchanova 2020 Tashkent State Technical University named after Islam Karimov

Neuro-Fuzzy Modeling For Predictive Control Systems With Complex Technological Processes And Production, Yusupbekov Nodirbek, Shukhrat Gulyamov, Malika Doshchanova

Chemical Technology, Control and Management

The paper implements a modification of a fuzzy neural network, which is suitable for predictive control purposes. Adaptation of a multidimensional programmable controller based on a neural algorithm for the back propagation of forecasting errors is proposed, as well as neural parametric identification of a fuzzy mathematical model of complex technological processes and production based on experimental data and expert estimates.


Synchrophasor Based Islanding & Open Phase Fault Protection In Distribution Systems, Mansour Jalali 2020 The University of Western Ontario

Synchrophasor Based Islanding & Open Phase Fault Protection In Distribution Systems, Mansour Jalali

Electronic Thesis and Dissertation Repository

With the rapid growth of renewable energy resources, energy efficiency initiatives, electric vehicles, energy storage, etc., distribution systems are becoming more complex such that conventional protection, control, and measurement infrastructure – typically concentrated at the main substation, with little to no access to information along the feeder – cannot maintain the reliability of the system without some sort of additional protection, control and measurement functionalities. As an example, a dedicated communication channel for carrying the transfer trip signal from the substation to the Point of Common Coupling (PCC) to prevent islanding operation of alternative resources, has been a requirement for many utilities ...


Cyber-Physical Security With Rf Fingerprint Classification Through Distance Measure Extensions Of Generalized Relevance Learning Vector Quantization, Trevor J. Bihl, Todd J. Paciencia, Kenneth W. Bauer Jr., Michael A. Temple 2020 Air Force Research Laboratory

Cyber-Physical Security With Rf Fingerprint Classification Through Distance Measure Extensions Of Generalized Relevance Learning Vector Quantization, Trevor J. Bihl, Todd J. Paciencia, Kenneth W. Bauer Jr., Michael A. Temple

Faculty Publications

Radio frequency (RF) fingerprinting extracts fingerprint features from RF signals to protect against masquerade attacks by enabling reliable authentication of communication devices at the “serial number” level. Facilitating the reliable authentication of communication devices are machine learning (ML) algorithms which find meaningful statistical differences between measured data. The Generalized Relevance Learning Vector Quantization-Improved (GRLVQI) classifier is one ML algorithm which has shown efficacy for RF fingerprinting device discrimination. GRLVQI extends the Learning Vector Quantization (LVQ) family of “winner take all” classifiers that develop prototype vectors (PVs) which represent data. In LVQ algorithms, distances are computed between exemplars and PVs, and ...


Digital Commons powered by bepress