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Demo: A Low-Cost Fleet Monitoring System, Lotfi ben Othmane, Venecia Alvarez, Kendall Berner, Matthew Fuhrmann, William Fuhrmann, Anthony Guss, Tyler Hartsock 2019 Iowa State University

Demo: A Low-Cost Fleet Monitoring System, Lotfi Ben Othmane, Venecia Alvarez, Kendall Berner, Matthew Fuhrmann, William Fuhrmann, Anthony Guss, Tyler Hartsock

Lotfi ben Othmane

Organizations use fleet monitoring systems for e.g., vehicle tracking, driver behavior analysis, and efficient fleet management. Current systems are designed for commercial use and are of high cost. We present a prototype of a low-cost fleet monitoring system that could be used for non-commercial applications. The system is composed of a device, a service application, and a Web application. The device reads data such as speed and fuel from the internal network of the connected vehicle and the location of the vehicle and sends them to a remote service. The remote service processes and stores the data. The users ...


Details On Csa-Sbl: An Algorithm For Sparse Bayesian Learning Boosted By Partial Erroneous Support Knowledge, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther 2019 Utah State University

Details On Csa-Sbl: An Algorithm For Sparse Bayesian Learning Boosted By Partial Erroneous Support Knowledge, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther

Electrical and Computer Engineering Faculty Publications

This report provides details on CSA-SBL(VB) algorithm for the recovery of sparse signals with unknown clustering pattern. More specifically, we deal with the recovery of sparse signals with unknown clustering pattern in the case of having partial erroneous prior knowledge on the supports of the signal. In [1], we provided a modified sparse Bayesian learning model to incorporate prior knowledge and simultaneously learn the unknown clustering pattern. For this purpose, we added one more layer to support-aided sparse Bayesian learning algorithm (SA-SBL) that was proposed in [2]. This layer adds a prior on the shape parameters of Gamma distributions ...


Robustness Evaluation Of Computer-Aided Clinical Trials For Medical Devices, Kuk Jin Jang, Yash Vardhan Pant, Bo Zhang, James Weimer, Rahul Mangharam 2019 University of Pennsylvania

Robustness Evaluation Of Computer-Aided Clinical Trials For Medical Devices, Kuk Jin Jang, Yash Vardhan Pant, Bo Zhang, James Weimer, Rahul Mangharam

Real-Time and Embedded Systems Lab (mLAB)

Medical cyber-physical systems, such as the implantable cardioverter defibrillator (ICD), require evaluation of safety and efficacy in the context of a patient population in a clinical trial. Advances in computer modeling and simulation allow for generation of a simulated cohort or virtual cohort which mimics a patient population and can be used as a source of prior information. A major obstacle to acceptance of simulation results as a source of prior information is the lack of a framework for explicitly modeling sources of uncertainty in simulation results and quantifying the effect on trial outcomes.

In this work, we formulate the ...


Detection Of Injection Attacks In In-Vehicle Networks, Lotfi ben Othmane, Lalitha Dhulipala, Moataz Abdelkhalek, Manimaran Govindarasu, Nicholas Multari 2019 Iowa State University

Detection Of Injection Attacks In In-Vehicle Networks, Lotfi Ben Othmane, Lalitha Dhulipala, Moataz Abdelkhalek, Manimaran Govindarasu, Nicholas Multari

Lotfi ben Othmane

There have been several public demonstrations of attacks on connected vehicles showing the ability of an attacker to take control of a targeted vehicle by injecting messages into their Controller Area Network (CAN) bus. In this paper, using injected speed reading and Revolutions Per Minute (RPM) messages, we examined the ability of the Pearson correlation, the k-means clustering, and the Hidden Markov Model (HMM) techniques to differentiate ’no-attack’ and ’under-attack’ states of the given vehicle. We found that the Pearson correlation distinguishes the two states while the k-means fails to distinguish the two states and HMM can successfully detect attacks ...


Open Source Low-Cost Power Monitoring System, Shane W. Oberloier, Joshua M. Pearce 2019 Michigan Technological University

Open Source Low-Cost Power Monitoring System, Shane W. Oberloier, Joshua M. Pearce

Joshua M. Pearce

This study presents an entirely open-source, low-cost power monitoring system capable of many types of measurements including both loads and supplies such as solar photovoltaic systems. In addition, the system can be fabricated using only open source software and hardware. The design revolves around the Digital Universal Energy Logger (DUEL) Node, which is responsible for reading and properly scaling the voltage and current of a particular load, and then serializing it via an on-board ATTiny85 chip. The configuration of the DUEL node allows for custom sensitivity ranges, and can handle up to 50 A and 300 V. Up to 127 ...


Epics: A Framework For Enforcing Security Policies In Composite Web Services, Rohit Ranchal, Bharat Bhargava, Pelin Angin, Lotfi ben Othmane 2019 IBM

Epics: A Framework For Enforcing Security Policies In Composite Web Services, Rohit Ranchal, Bharat Bhargava, Pelin Angin, Lotfi Ben Othmane

Lotfi ben Othmane

With advances in cloud computing and the emergence of service marketplaces, the popularity of composite services marks a paradigm shift from single-domain monolithic systems to cross-domain distributed services, which raises important privacy and security concerns. Access control becomes a challenge in such systems because authentication, authorization and data disclosure may take place across endpoints that are not known to clients. The clients lack options for specifying policies to control the sharing of their data and have to rely on service providers which provide limited selection of security and privacy preferences. This lack of awareness and loss of control over data ...


Progress Report I: Fabrication Of Nanopores In Silicon Nitride Membranes Using Self-Assembly Of Ps-B-Pmma, Unnati Joshi, Vishal Venkatesh, Hiromichi Yamamoto 2019 Quattrone Nanofabrication Facility

Progress Report I: Fabrication Of Nanopores In Silicon Nitride Membranes Using Self-Assembly Of Ps-B-Pmma, Unnati Joshi, Vishal Venkatesh, Hiromichi Yamamoto

Protocols and Reports

This progress report describes fabrication of silicon nitride membranes from Si wafers using cleanroom techniques, and of nanopore preparation via a self-assembled PS-b-PMMA film. A 36.9 nm thick membrane is successfully prepared by KOH wet etching. The membrane is a layered structure of 36.8 µm thick Si and 116 nm thick silicon nitride. It is also exhibited that in the 47 nm thick PS-b-PMMA film, the nanopore structure is observed in the vicinity of a dust particle, but most of the area indicates lamellar domain structure. The thickness of PS-b-PMMA film will ...


Bayesian Compressive Sensing Of Sparse Signals With Unknown Clustering Patterns, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther 2019 Utah State University

Bayesian Compressive Sensing Of Sparse Signals With Unknown Clustering Patterns, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther

Electrical and Computer Engineering Faculty Publications

We consider the sparse recovery problem of signals with an unknown clustering pattern in the context of multiple measurement vectors (MMVs) using the compressive sensing (CS) technique. For many MMVs in practice, the solution matrix exhibits some sort of clustered sparsity pattern, or clumpy behavior, along each column, as well as joint sparsity across the columns. In this paper, we propose a new sparse Bayesian learning (SBL) method that incorporates a total variation-like prior as a measure of the overall clustering pattern in the solution. We further incorporate a parameter in this prior to account for the emphasis on the ...


Transmission Expansion Planning With Transformer Replacement, Mujing Ye, Sarah M. Ryan, James D. McCalley 2019 Iowa State University

Transmission Expansion Planning With Transformer Replacement, Mujing Ye, Sarah M. Ryan, James D. Mccalley

Sarah M. Ryan

Investments in high-voltage transmission facilities require large financial commitments and significantly affect the future reliability and economy of the interconnected power system. Transmission expansion planning is complicated by the potential component unavailability due to forced or scheduled outage. Transformers comprise one important set of system components of which many in current use are reaching an advanced service age. Condition monitoring technologies can help improve predictions of their reliability. We formulate and analyze an optimization model for transmission expansion planning and transformer replacement that accounts for transformer as well as transmission line reliability and solve a small instance in a reasonable ...


A Voice Activated Prosthetic Mode Of Control, Will Picken 2019 University of Nebraska at Omaha

A Voice Activated Prosthetic Mode Of Control, Will Picken

Student Research and Creative Activity Fair

There are many options for a prosthetic mode of control. The most commonly created modes of control involve surface EMG (sEMG) and require that the user have well defined muscle activation in order to trigger the movement of the prosthetic. Unfortunately, many prosthetic users do not have the required muscle tone or strength to trigger these sensors, so the need for a control mechanism that doesn’t rely on sEMG is clear. This study focuses on the development of a low-cost, voice activated prosthetic mode of control compatible with the prosthetics developed by Dr. Zuniga and his research team.

The ...


An Electrooculography Prosthetic Control System, Walker Arce 2019 University of Nebraska at Omaha

An Electrooculography Prosthetic Control System, Walker Arce

Student Research and Creative Activity Fair

For many surface EMG (sEMG) prosthetic control systems, the muscles on the affected limb are used to trigger the control system. This can lead to fatigue in the user as they have to maintain continuous muscle activation and coactivation in order to achieve prosthetic control [3]. The crux of any prosthetic control system is the human machine interface that is developed, and at present many control systems have complicated interfaces that limit the degrees of freedom of the prosthetics. This study focuses on the development of a low-cost prosthetic control peripheral that is compatible with the prosthetics developed by Dr ...


A Radio Frequency Identification (Rfid) Prosthetic Control System, Andrew Butler 2019 University of Nebraska at Omaha

A Radio Frequency Identification (Rfid) Prosthetic Control System, Andrew Butler

Student Research and Creative Activity Fair

Item classification and tagging in embedded systems has become ubiquitous in our society due to radio frequency identification (RFID) and the cost has dropped significantly for hardware that can interact with these devices. Due to this, possibilities in the realm of prosthetic control systems opens up for dynamic grip selection without user intervention. This study focuses on the development of a device capable of this functionality that is compatible with the prosthetics designed by Dr. Zuniga and his research team.

The printed circuit board (PCB) was designed using the EAGLE EDA package and incorporates a lithium polymer battery with a ...


Reactive Ion Etching Selectivity Of Si/Sio2: Comparing Of Two fluorocarbon Gases Chf3 And Cf4, Meiyue Zhang, Pat Watson 2019 Singh Center for Nanotechnology

Reactive Ion Etching Selectivity Of Si/Sio2: Comparing Of Two fluorocarbon Gases Chf3 And Cf4, Meiyue Zhang, Pat Watson

Protocols and Reports

Two reactive ion etching (RIE) processes were studied to show the relative etch selectivity between SiO2 and Si using two fluorocarbon gases, CF4 and CHF3. Results show that CHF3 gives better selectivity (16:1) over CF4 (1.2 :1). On the other hand, the etch rate of SiO2 of CF4 is approximately 52.8 nm/min, faster than CHF3 (32.4 nm/min).


Experimental Study And Modeling Of The Gm-I Dependence Of Long-Channel Mosfets, Michael Fong Cheng 2019 California Polytechnic State University, San Luis Obispo

Experimental Study And Modeling Of The Gm-I Dependence Of Long-Channel Mosfets, Michael Fong Cheng

Master's Theses and Project Reports

This thesis describes an experimental study and modeling of the current-transconductance dependence of the ALD1106, ALD1107, and CD4007 arrays. The study tests the hypothesis that the I-gm dependence of these 7.8 µm to 10 µm MOSFETs conforms to the Advanced Compact Model (ACM). Results from performed measurements, however, do not support this expectation. Despite the relatively large length, both ALD1106 and ALD1107 show sufficiently pronounced ‘short-channel’ effects to render the ACM inadequate. As a byproduct of this effort, we confirmed the modified ACM equation. With an m factor of approximately 0.6, it captures the I-gm dependence with sub-28 ...


Wearable Bluetooth Sensors For Capturing Relational Variables And Temporal Variability In Relationships: A Construct Validation Study, James G. Matusik, Ralph Heidl, John R. Hollenbeck, Andrew Yu, Hun W. Lee, Michael D. Howe 2019 Michigan State University

Wearable Bluetooth Sensors For Capturing Relational Variables And Temporal Variability In Relationships: A Construct Validation Study, James G. Matusik, Ralph Heidl, John R. Hollenbeck, Andrew Yu, Hun W. Lee, Michael D. Howe

Management Publications

The advent of wearable sensor technologies has the potential to transform organizational research by offering the unprecedented opportunity to collect continuous, objective, highly granular data over extended time periods. Recent evidence has demonstrated the potential utility of Bluetooth-enabled sensors, specifically, in identifying emergent networks via colocation signals in highly controlled contexts with known distances and groups. Although there is proof of concept that wearable Bluetooth sensors may be able to contribute to organizational research in highly controlled contexts, to date there has been no explicit psychometric construct validation effort dedicated to these sensors in field settings. Thus, the two studies ...


Automotive Intrusion Detection Based On Constant Can Message Frequencies Across Vehicle Driving Modes, Clinton Young, Habeeb Olufowobi, Gedare Bloom, Joseph Zambreno 2019 Iowa State University

Automotive Intrusion Detection Based On Constant Can Message Frequencies Across Vehicle Driving Modes, Clinton Young, Habeeb Olufowobi, Gedare Bloom, Joseph Zambreno

Electrical and Computer Engineering Conference Papers, Posters and Presentations

The modern automobile relies on numerous electronic control units communicating over the de facto standard of the controller area network (CAN) bus. This communication network was not developed with cybersecurity in mind. Many methods based on constant time intervals between messages have been proposed to address this lack of security issue with the CAN bus. However, these existing methods may struggle to handle variable time intervals between messages during transitions of vehicle driving modes. This paper proposes a simple and cost-effective method to ensure the security of the CAN bus that is based on constant message frequencies across vehicle driving ...


Anomaly Detection Approach Using Adaptive Cumulative Sum Algorithm For Controller Area Network, Habeeb Olufowobi, Uchenna Ezeobi, Eric Muhati, Gaylon Robinson, Clinton Young, Joseph Zambreno, Gedare Bloom 2019 Howard University

Anomaly Detection Approach Using Adaptive Cumulative Sum Algorithm For Controller Area Network, Habeeb Olufowobi, Uchenna Ezeobi, Eric Muhati, Gaylon Robinson, Clinton Young, Joseph Zambreno, Gedare Bloom

Electrical and Computer Engineering Conference Papers, Posters and Presentations

The modern vehicle has transformed from a purely mechanical system to a system that embeds several electronic devices. These devices communicate through the in-vehicle network for enhanced safety and comfort but are vulnerable to cyber-physical risks and attacks. A well-known technique of detecting these attacks and unusual events is by using intrusion detection systems. Anomalies in the network occur at unknown points and produce abrupt changes in the statistical features of the message stream. In this paper, we propose an anomaly-based intrusion detection approach using the cumulative sum (CUSUM) change-point detection algorithm to detect data injection attacks on the controller ...


Microgrid Renewable Energy Integration, DO QUANG THANH VO 2019 California Polytechnic State University, San Luis Obispo

Microgrid Renewable Energy Integration, Do Quang Thanh Vo

Electrical Engineering

The Microgrid is a small-scale electrical system that is designed to give Cal Poly students hands-on experience on power generation, system protection, distribution, and automation that would otherwise be very difficult to experiment in a large-scale model.

To closely replicate the modern electrical grid, a renewable energy source shall be added to the Microgrid in conjunction with the existing synchronous generators. Electrical engineering student, Virginia Yan initiated this effort, namely Grid-Tied Solar System project [1], by designing and constructing a set of solar panels and microinverter for future connection to the Microgrid. The scope of Virginia’s project was, however ...


Neutron Beam Testing Methodology And Results For A Complex Programmable Multiprocessor Soc, Jordan Daniel Anderson 2019 Brigham Young University

Neutron Beam Testing Methodology And Results For A Complex Programmable Multiprocessor Soc, Jordan Daniel Anderson

All Theses and Dissertations

The Xilinx Multiprocessor System-on-Chip (MPSoC) is a complex device that uses 16nm FinFET technology to combine multiple processors, a large amount of FPGA resources, and many I/O interfaces on a single chip die. These features make the MPSoC a high-performance and architecturally flexible device. The potential computing power makes the MPSoC ideal for many embedded applications including terrestrial and space applications. The MPSoC, however, does not have extensive radiation history as many other devices have. The extent of the effect that ionized particles may have on the MPSoC is not well established. To solve this problem, neutron radiation testing ...


Nickel Based Rtd Fabricated Via Additive Screen Printing Process For Flexible Electronics, Vikram S. Turkani, Dinesh Maddipatla, Binu B. Narakathu, Bilge N. Altay, Paul D. Fleming, Bradley J. Bazuin, Massood Atashbar 2019 Western Michigan University

Nickel Based Rtd Fabricated Via Additive Screen Printing Process For Flexible Electronics, Vikram S. Turkani, Dinesh Maddipatla, Binu B. Narakathu, Bilge N. Altay, Paul D. Fleming, Bradley J. Bazuin, Massood Atashbar

Bilge Nazli Altay

A novel nickel (Ni) based resistance temperature detector (RTD) was successfully developed for temperature monitoring applications. The RTD was fabricated by depositing Ni ink on a flexible polyimide substrate using the screen printing process. Thermogravimetric analysis was performed to study the thermal behavior of the Ni ink and it was observed that the Ni ink can withstand up to 200°C before decomposition of the binder in the ink system. Scanning electron microscopy and white light interferometry were used to analyze the surface morphology of the printed Ni. X-ray diffractometry was used to obtain structural information, phase and crystallite size ...


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