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Prospective Doctoral Statement For The University Of Southern California's School Of Cinematic Arts Media Arts + Practice Program, Gabriel Leiner 2016 University of Southern California

Prospective Doctoral Statement For The University Of Southern California's School Of Cinematic Arts Media Arts + Practice Program, Gabriel Leiner

Gabriel Leiner

After visiting L.A. again and seeing the beautiful fountains on the University of Southern California's campus I am filled with all kinds of ideas about the future and brimming with energy. To all those at the University of Southern California's Cinematic Arts Department, thanks for reading my ideas over the past couple years and helping me to evolve and become a better person and a better writer. Starting a position as a doctoral student in the Media Arts + Practice Program in 2016 is an exciting opportunity. I've got a really positive outlook about Kiss The Water.


Compact Dual-Mode Microstrip Band Reject Filters Based On Koch Fractal Geometry, Hayder S. Ahmed, Ali J. Salim, Jawad K. Ali 2016 Deprtment of Electrical Engineering, University of Technology, Iraq

Compact Dual-Mode Microstrip Band Reject Filters Based On Koch Fractal Geometry, Hayder S. Ahmed, Ali J. Salim, Jawad K. Ali

Hayder S. Ahmed

In this paper, a new fractal based microstrip dual-mode band stop filter (BSF) has been presented. The proposed filter structure is essentially based on that of the triangular patch resonators with an embedded slit structure. The Koch fractal geometry has been applied to the uncoupled side lengths of the triangular patch resonator. The filter structure has been modeled and its performance is evaluated using the commercially available EM simulator, Sonnet. Results reveal that the resulting dual-mode response is highly dependent on the uncoupled side lengths of the triangular patch resonator. Parametric study has been conducted to explore the effect of ...


Energy Consumption Prediction With Big Data: Balancing Prediction Accuracy And Computational Resources, Katarina Grolinger, Miriam AM Capretz, Luke Seewald 2016 Western University

Energy Consumption Prediction With Big Data: Balancing Prediction Accuracy And Computational Resources, Katarina Grolinger, Miriam Am Capretz, Luke Seewald

Electrical and Computer Engineering Publications

In recent years, advances in sensor technologies and expansion of smart meters have resulted in massive growth of energy data sets. These Big Data have created new opportunities for energy prediction, but at the same time, they impose new challenges for traditional technologies. On the other hand, new approaches for handling and processing these Big Data have emerged, such as MapReduce, Spark, Storm, and Oxdata H2O. This paper explores how findings from machine learning with Big Data can benefit energy consumption prediction. An approach based on local learning with support vector regression (SVR) is presented. Although local learning itself is ...


The Design, Fabrication And Characterization Of Integrated Photoconductive Antennas For On-Chip Terahertz Wave Radiation And Detection, Ruben Dario Velasquez Rios 2016 Graduate Center, City University of New York

The Design, Fabrication And Characterization Of Integrated Photoconductive Antennas For On-Chip Terahertz Wave Radiation And Detection, Ruben Dario Velasquez Rios

All Graduate Works by Year: Dissertations, Theses, and Capstone Projects

Terahertz (THz) wave (between 0.1 and 10 THz) is attracting a lot of attention due to its unique properties that are favorable to various applications. These include non-ionizing radiation, better resolution than a microwave, unique spectral absorption, and an ability to propagate through many types of materials. It has been intensively researched in sensing and imaging technology for a wide range of applications in areas such as biology, pharmaceutical, food and drug control, medical science, and security screening. Driven by mostly scientific research interests, the majority of THz systems are more focused on system performance rather than system size ...


Radio Spectrum Sensing In Cognitive Wireless Networks, Danda B. Rawat, Chandra Bajracharya 2016 Georgia Southern University

Radio Spectrum Sensing In Cognitive Wireless Networks, Danda B. Rawat, Chandra Bajracharya

Danda B. Rawat

A cognitive network makes use of the information gathered from the network in order to sense the environment, plan actions according to the input, and make appropriate decisions using a reasoning engine. The ability of cognitive networks to learn from the past and use that knowledge to improve future decisions makes them a key area of interest for anyone whose work involves wireless networks and communications.

Cognitive Networks: Applications and Deployments examines recent developments in cognitive networks from the perspective of cutting-edge applications and deployments. Presenting the contributions of internationally renowned experts, it supplies complete and balanced treatment of the ...


Location Security In Vehicular Wireless Networks, Gongjun Yan, Danda B. Rawat, Bhed B. Bista, L. Chen 2016 Indiana University Kokomo

Location Security In Vehicular Wireless Networks, Gongjun Yan, Danda B. Rawat, Bhed B. Bista, L. Chen

Danda B. Rawat

In Vehicular Ad-Hoc Networks (VANETs), applications are based on one fundamental piece of information: location. Therefore, attackers will exploit location information to launch attacks. The authors present an in-depth survey of location security methods that have been recently proposed in literature. They present the algorithms or protocols of different methods and compare them with each other in this chapter. The methods are mainly in three aspects: position integrity, position confidentiality, and position availability. The position integrity methods focus on validating a vehicle’s position to ensure the position information is correct. Position confidentiality ensures not only the confidentiality of position ...


Enhancing Connectivity For Communication And Control In Unmanned Aerial Vehicle Networks, Danda B. Rawat, R. Grodi, Chandra Bajracharya 2016 Georgia Southern University

Enhancing Connectivity For Communication And Control In Unmanned Aerial Vehicle Networks, Danda B. Rawat, R. Grodi, Chandra Bajracharya

Danda B. Rawat

Wireless connectivity for communication and control in Unmanned Aerial Vehicles (UAVs) networks is very critical to accomplish an assigned task such as monitoring a given area. Because of dynamic mobility of UAVs, robust adaptive wireless connectivity for UAVs is crucial. In this paper, we analyze the connectivity for UAV networks that is based on density of UAVs, velocity of UAVs, angle of arrival, and transmission range used by UAVs. We evaluate the performance of the proposed approach using numerical results obtained from simulations.


Detection Of False Data Injection Attacks In Smart Grid Communication Systems, Danda B. Rawat, Chandra Bajracharya 2016 Georgia Southern University

Detection Of False Data Injection Attacks In Smart Grid Communication Systems, Danda B. Rawat, Chandra Bajracharya

Danda B. Rawat

The transformation of traditional energy networks to smart grids can assist in revolutionizing the energy industry in terms of reliability, performance and manageability. However, increased connectivity of power grid assets for bidirectional communications presents severe security vulnerabilities. In this letter, we investigate Chi-square detector and cosine similarity matching approaches for attack detection in smart grids where Kalman filter estimation is used to measure any deviation from actual measurements. The cosine similarity matching approach is found to be robust for detecting false data injection attacks as well as other attacks in the smart grids. Once the attack is detected, system can ...


Cognitive Networks: Applications And Deployments, Jaime Lloret Mauri (Ed.), Kayhan Zrar Ghafoor (Ed.), Danda B. Rawat (Ed.), Javier Manuel Aguiar Perez (Ed.) 2016 University of Valencia

Cognitive Networks: Applications And Deployments, Jaime Lloret Mauri (Ed.), Kayhan Zrar Ghafoor (Ed.), Danda B. Rawat (Ed.), Javier Manuel Aguiar Perez (Ed.)

Danda B. Rawat

A cognitive network makes use of the information gathered from the network in order to sense the environment, plan actions according to the input, and make appropriate decisions using a reasoning engine. The ability of cognitive networks to learn from the past and use that knowledge to improve future decisions makes them a key area of interest for anyone whose work involves wireless networks and communications.

Cognitive Networks: Applications and Deployments examines recent developments in cognitive networks from the perspective of cutting-edge applications and deployments. Presenting the contributions of internationally renowned experts, it supplies complete and balanced treatment of the ...


Anti-Islanding Techniques For Distributed Generation Systems – A Survey, Bikiran Guha, Rami J. Haddad, Youakim Kalaani 2016 Georgia Southern University

Anti-Islanding Techniques For Distributed Generation Systems – A Survey, Bikiran Guha, Rami J. Haddad, Youakim Kalaani

Rami J. Haddad

The increased penetration of Inverter-based Distributed Generation (DG) in Smart Grid systems requires an adequate level of monitoring and detection especially under islanding conditions. Islanding occurs when a DG system is disconnected from the rest of the power grid. These DG systems are usually independently owned and controlled, thus when islanding occurs, the electric utility loses control and supervision over that section of the power grid. As a consequence, islanding can present serious safety hazard since a presumed disconnected power line can still unexpectedly be fed by nearby DG sources. Furthermore, prolonged islanding can also prevent reconnection to the power ...


Undergraduate Research Scholar: The First Step Towards A Hybrid Lecture- Based And Inquiry/Research-Based Undergraduate Electrical Engineering Program, Rami J. Haddad, Youakim Kalaani 2016 Georgia Southern University

Undergraduate Research Scholar: The First Step Towards A Hybrid Lecture- Based And Inquiry/Research-Based Undergraduate Electrical Engineering Program, Rami J. Haddad, Youakim Kalaani

Rami J. Haddad

In this paper, we describe our approach on how to integrate undergraduate research into a lecture-based curriculum through summer workshops, research-designated courses, and undergraduate research grants. This approach is the first step towards a hybrid lecture-based and inquiry/research-based undergraduate engineering program. We proposed the establishment of a series of undergraduate research workshops instructed periodically every summer to better prepare students interested in undergraduate research. We also proposed a course, UREH-4999 Undergraduate Research, that will be used to provide the undergraduate student with an opportunity to engage in supervised research. Upon completing a certain number of undergraduate research credits and ...


Google Forms: A Real-Time Formative Assessment Approach For Adaptive Learning, Rami J. Haddad, Youakim Kalaani 2016 Georgia Southern University

Google Forms: A Real-Time Formative Assessment Approach For Adaptive Learning, Rami J. Haddad, Youakim Kalaani

Rami J. Haddad

In this paper, we describe our approach on how to achieve an adaptive learner-centric environment by using an unconventional student feedback process that utilizes Google Forms to periodically collect information about the course instruction. Students were asked to provide their input regarding lectures' clarity and content; the use of visual aids; time management; problem solving, instruction delivery; and student engagement in the classroom. Data collected from these anonymous surveys provided real-time formative feedback that helped faculty to react just in time to address issues related to student learning process. In addition to providing continuous feedback, this process has also shown ...


Optimum Ann Empirical Model Of Capacitive Deionization Desalination Unit, Adel El Shahat, Rami Haddad, Youakim Kalaani 2016 Georgia Southern University

Optimum Ann Empirical Model Of Capacitive Deionization Desalination Unit, Adel El Shahat, Rami Haddad, Youakim Kalaani

Rami J. Haddad

Capacitive deionisation (CDI) has emerged as a robust energy efficient for water desalination. In this paper, a novel CDI electrosorption process is proposed to increase the efficiency based on real experimental data. It is achieved by artificial neural network (ANN) to develop four models. For problem formulation, closed forms mathematical equations were derived, thus, resulting in a very efficient programming algorithm. Optimum patterns ANN models were validated by implementing two ANN units to drive the CDI electrosorption process. This proposed method was tested and verified using actual and predicted ANN values which yielded excellent results with regression factors between 0 ...


Smart Grids Technology Fundamentals- New Course, Adel El Shahat, Rami Haddad, Youakim Kalaani 2016 Georgia Southern University

Smart Grids Technology Fundamentals- New Course, Adel El Shahat, Rami Haddad, Youakim Kalaani

Rami J. Haddad

In this paper, a new course in smart grid technologies to enhance the power systems concentration in an Electrical Engineering program is presented. The aim of this course is to introduce students to contemporary topics related to distributed generation, micro-grids, renewable energy sources, and smart homes applications. This proposed 4-credit course is designed to provide students with a working knowledge from the basic concepts of power systems to the inherent elements of computational intelligence including decision support systems, smart metering, cyber security, optimization, and renewable energy sources. The automation and computational techniques involved in Smart Grid technologies are also introduced ...


Monitoring Optical Fiber Dispersion, Andrew Robertson, Rami J. Haddad 2016 Georgia Southern University

Monitoring Optical Fiber Dispersion, Andrew Robertson, Rami J. Haddad

Rami J. Haddad

No abstract provided.


Sizing Residential Photovoltaic Systems In The State Of Georgia, Adel El Shahat, Rami Haddad, Bikiran Guha, Youakim Kalaani 2016 Georgia Southern University

Sizing Residential Photovoltaic Systems In The State Of Georgia, Adel El Shahat, Rami Haddad, Bikiran Guha, Youakim Kalaani

Rami J. Haddad

No abstract provided.


Cross Disciplinary Perceptions Of The Computational Thinking Among Freshmen Engineering Students, Rami J. Haddad, Youakim Kalaani 2016 Georgia Southern University

Cross Disciplinary Perceptions Of The Computational Thinking Among Freshmen Engineering Students, Rami J. Haddad, Youakim Kalaani

Rami J. Haddad

In this paper, we analyzed the perception of Computational Thinking among engineering students from three engineering disciplines (Electrical, Mechanical, and Civil) and correlated their performance with their discipline. The goal of this analysis is to determine whether structuring discipline-specific Computational Thinking courses can improve the retention or having a diverse group of students in this course is more beneficial by allowing multidisciplinary interaction. This analysis was quantitatively verified by assessing the students' performance in over 40 different sections of Computing for Engineers course taught from Fall 2012 to Spring 2014. Our sample consisted of 861 students (142 Civil, 484 Mechanical ...


Energetic Behavior Of Resistive Random-Access Memory Cells, Christopher M. Bisbee 2016 Macalester College

Energetic Behavior Of Resistive Random-Access Memory Cells, Christopher M. Bisbee

Macalester Journal of Physics and Astronomy

In order to investigate the switching characteristics of Resistive Random Access Memory cells (ReRAM) in terms of their thermodynamic free energy properties, we need to build a number of models that replicate the system. This report contains the models used to investigate filament growth patterns based on different boundary conditions applied to the electrode-filament system. Using Comsol Multiphysics software, we determined that when a fixed voltage is applied to each electrode in the electrode-filament system, we should expect filament dissolution that resets our cells into the High Resistance State (HRS). If we instead fix a set amount of charge on ...


High Density 3d Printed Microfluidic Valves, Pumps, And Multiplexers, Hua Gong, Adam T. Woolley, Gregory P. Nordin 2016 Brigham Young University - Provo

High Density 3d Printed Microfluidic Valves, Pumps, And Multiplexers, Hua Gong, Adam T. Woolley, Gregory P. Nordin

All Faculty Publications

In this paper we demonstrate that 3D printing with a Digital Light Processor stereolithographic (DLP-SLA) 3D printer can be used to create high density microfluidic devices with active components such as valves and pumps. Leveraging our previous work on optical formulation of inexpensive resins (RSC Adv. 5, 106621, 2015), we demonstrate valves with only 10% of the volume of our original 3D printed valves (Biomicrofluidics 9, 016501, 2015), which were already the smallest that have been reported. Moreover, we show that inclusion of a thermal initiator in the resin formulation along with a post-print bake can dramatically improve the durability ...


Physical Mechanisms Leading To The Coulomb Blockade And Coulomb Staircase Structures In Strongly Coupled Multi-Island Single-Electron Devices, Madhusudan A. Savaikar, John A. Jaszczak, Paul L. Bergstrom 2016 Michigan Technological University

Physical Mechanisms Leading To The Coulomb Blockade And Coulomb Staircase Structures In Strongly Coupled Multi-Island Single-Electron Devices, Madhusudan A. Savaikar, John A. Jaszczak, Paul L. Bergstrom

John Jaszczak

No abstract provided.


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