Engineering Commons^™

Types Of Cyber Attacks And Incident Responses, Kaung Myat Thu

Publications and Research

Cyber-attacks are increasingly prevalent in today's digital age, and their impact can be severe for individuals, organizations, and governments. To effectively protect against these threats, it is essential to understand the different types of attacks and have an incident response plan in place to minimize damage and restore normal operations quickly.

This research aims to contribute to the field by addressing the following questions: What are the main types of cyber-attacks, and how can organizations effectively respond to these incidents? How can the incident response process be improved through post-incident activities?

The study examines various cyber-attack types, including malware, phishing, …

Improving The Reliability Of Visual Inspections Conducted By Environmental Health And Safety Professionals, On A Hyperscale Data Centre Construction Site, Alex A. Schouten, Victor Hrymak

Conference papers

The conduct of visual inspections on construction sites is of crucial importance for workplace safety. This is because visual inspection is the primary method by which construction site hazards are routinely observed, monitored and controlled. However, there is no consensus guidance as to how such visual inspections should be conducted. This is resulting in many observable hazards going unseen and therefore not being appropriately managed on construction sites worldwide. In an attempt to improve the reliability of visual inspection, this study presents results from an innovative method called systematic visual inspection which utilises an iterative set eye scan pattern during …

On The Use Of High-Frequency Surface Wave Oceanographic Research Radars As Bistatic Single-Frequency Oblique Ionospheric Sounders, Stephen R. Kaeppler, Ethan S. Miller, Daniel Cole, Teresa Updyke

CCPO Publications

We demonstrate that bistatic reception of high-frequency oceanographic radars can be used as single-frequency oblique ionospheric sounders. We develop methods that are agnostic of the software-defined radio system to estimate the group range from the bistatic observations. The group range observations are used to estimate the virtual height and equivalent vertical frequency at the midpoint of the oblique propagation path. Uncertainty estimates of the virtual height and equivalent vertical frequency are presented. We apply this analysis to observations collected from two experiments run at two locations in different years, but utilizing similar software-defined radio data collection systems. In the first …

Determination Of Steels In Kentucky Bridges, Theodore Hopwood Ii, Christopher Goff, Sudhir Palle

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) maintains over two hundred steel bridges constructed with types of steel which are unknown. Kentucky Transportation Center (KTC) researchers have developed a procedure for determining steel tensile properties (0.2% yield strength and ultimate tensile strength) which can be used to help identify unknown steels. The procedure involves extracting small coupons from the lower flanges of steel deck girder bridges. Coupons are then machined into sub-sized tensile testing specimens and suitable shapes for chemical analyses. Sub-sized tensile tests returned values generally comparable to those provided in mill certifications of steels purchased for laboratory trials. Several analytical …

Target Localization And Tracking By Fusing Doppler Differentials From Cellular Emanations With A Multi-Spectral Video Tracker, Casey D. Demars, Michael Roggemann, Adam Webb, Timothy C. Havens

Michigan Tech Publications

We present an algorithm for fusing data from a constellation of RF sensors detecting cellular emanations with the output of a multi-spectral video tracker to localize and track a target with a specific cell phone. The RF sensors measure the Doppler shift caused by the moving cellular emanation and then Doppler differentials between all sensor pairs are calculated. The multi-spectral video tracker uses a Gaussian mixture model to detect foreground targets and SIFT features to track targets through the video sequence. The data is fused by associating the Doppler differential from the RF sensors with the theoretical Doppler differential computed …

A Preliminary Design Of Application Of Wireless Identification And Sensing Platform On External Beam Radiotherapy, Heranudin, S Bakhri

Faculty of Engineering and Information Sciences - Papers: Part B

A linear accelerator (linac) is widely used as a means of radiotherapy by focusing high-energy photons in the targeted tumor of patient. Incorrectness of the shooting can lead normal tissue surrounding the tumor received unnecessary radiation and become damaged cells. A method is required to minimize the incorrectness that mostly caused by movement of the patient during radiotherapy process. In this paper, the Wireless Identification and Sensing Platform (WISP) architecture was employed to monitor in real time the movement of the patient's body during radiotherapy process. In general, the WISP is a wearable sensors device that can transmit measurement data …

Optimal Control Based Stiffness Identification Of An Ankle-Foot Orthosis Using A Predictive Walking Model, Manish Sreenivasa, Matthew Millard, Martin Felis, Katja Mombaur, Sebastian I. Wolf

Faculty of Engineering and Information Sciences - Papers: Part B

Predicting the movements, ground reaction forces and neuromuscular activity during gait can be a valuable asset to the clinical rehabilitation community, both to understand pathology, as well as to plan effective intervention. In this work we use an optimal control method to generate predictive simulations of pathological gait in the sagittal plane. We construct a patient-specific model corresponding to a 7-year old child with gait abnormalities and identify the optimal spring characteristics of an ankle-foot orthosis that minimizes muscle effort. Our simulations include the computation of foot-ground reaction forces, as well as the neuromuscular dynamics using computationally efficient muscle torque …

Motion Optimization And Parameter Identification For A Human And Lower Back Exoskeleton Model, Paul Manns, Manish Sreenivasa, Matthew Millard, Katja Mombaur

Faculty of Engineering and Information Sciences - Papers: Part B

Designing an exoskeleton to reduce the risk of low-back injury during lifting is challenging. Computational models of the human-robot system coupled with predictive movement simulations can help to simplify this design process. Here, we present a study that models the interaction between a human model actuated by muscles and a lower back exoskeleton. We provide a computational framework for identifying the spring parameters of the exoskeleton using an optimal control approach and forward-dynamics simulations. This is applied to generate dynamically consistent bending and lifting movements in the sagittal plane. Our computations are able to predict motions and forces of the …

Ontological Learner Profile Identification For Cold Start Problem In Micro Learning Resources Delivery, Geng Sun, Tingru Cui, Jun Shen, Dongming Xu, Ghassan Beydoun, Shiping Chen

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

Modeling And Identification Of A Realistic Spiking Neural Network And Musculoskeletal Model Of The Human Arm, And An Application To The Stretch Reflex, Manish Sreenivasa, Ko Ayusawa, Yoshihiko Nakamura

Faculty of Engineering and Information Sciences - Papers: Part B

This study develops a multi-level neuromuscular model consisting of topological pools of spiking motor, sensory and interneurons controlling a bi-muscular model of the human arm. The spiking output of motor neuron pools were used to drive muscle actions and skeletal movement via neuromuscular junctions. Feedback information from muscle spindles were relayed via monosynaptic excitatory and disynaptic inhibitory connections, to simulate spinal afferent pathways. Subject-specific model parameters were identified from human experiments by using inverse dynamics computations and optimization methods. The identified neuromuscular model was used to simulate the biceps stretch reflex and the results were compared to an independent dataset. …

Investigations Into The Identification And Control Of Outburst In Australian Underground Coal Mines, Dennis J. Black

Faculty of Engineering and Information Sciences - Papers: Part B

Australian coal mines currently use gas content to assess outburst risk. The gas content threshold values for each mine are indirectly determined from measurement of gas volume liberated from 150 g coal samples during Q3 residual gas content testing. It has been more than twenty (20) years since this method, known as DRI900, was presented to the Australian coal industry, and in that time there have been significant changes in mining conditions and the outburst threshold limits used at the benchmark Bulli seam mines.Current coal mining legislation in both Queensland [7] and New South Wales [6] provide little guidance in …

Wearable Vibrotactile Biofeedback Device Allowing Identification Of Different Floor Conditions For Lower-Limb Amputees, Anson Wan, Duo Wong, Christina Ma, Ming Zhang, Winson Lee

Faculty of Engineering and Information Sciences - Papers: Part A

Objective

To evaluate a newly developed biofeedback device enabling lower-limb amputees to identify various floor conditions.

Design

Self-control with repeated measures (with and without the biofeedback device) within the amputee group, and group control comparing between amputee and nonamputee groups.

Setting

University locomotion laboratory.

Participants

Five lower-limb amputees and 8 nonamputees (N=13).

Interventions

A wearable biofeedback device, which identified different floor conditions by analyzing the force patterns under the prosthetic feet and provided vibration cues in response to different floor conditions, was provided to the amputees.

Main Outcome Measures

The subjects stepped on a foam platform concealing a small object …

Sheep Updates 2015 - Merredin, Bruce Mullan, Kate Pritchett, Kimbal Curtis, Chris Wilcox, Lynne Bradshaw, Geoff Lindon, Katherine Davies, Joe Young, Stephen Lee, Dawson Bradford, Khama Kelman, Lucy Anderton, Jaq Pearson, Jackie Jarvis, Ben Patrick

Sheep Updates

This session covers fourteen papers from different authors:

1. The Sheep Industry Business Innovation project, Bruce Mullan, Sheep Industry Development Director, Department of Agriculture and Food, Western Australia

2. Western Australian sheep stocktake, Kate Pritchett and Kimbal Curtis, Research Officers, Department of Agriculture and Food, Western Australia

3. Wool demand and supply - short term volatility, long term opportunities, Chris Wilcox, Principal of Poimena Analysis

4. Myths, Facts and the role of animal welfare in farming, Lynne Bradshaw, president, RSPCA WA

5. Latest research and development on breech strike prevention, Geoff Lindon, Manager Productivity and Animal Welfare, AWI

6. …

Sheep Updates 2015 - Ravensthorpe, Bruce Mullan, Kate Pritchett, Kimbal Curtis, Chris Wilcox, Mike Hyder, Leigh Sonnerman, Lynne Bradshaw, Geoff Lindon, Katherine Davies, Joe Young, Stephen Lee, Ian Robertson, Lucy Anderton, Hayley Norman, Ed Barrett-Lenard, Jackie Jarvis, Ben Patrick

Sheep Updates

This session covers fourteen papers from different authors:

1. The Sheep Industry Business Innovation project, Bruce Mullan, Sheep Industry Development Director, Department of Agriculture and Food, Western Australia

2. Western Australian sheep stocktake, Kate Pritchett and Kimbal Curtis, Research Officers, Department of Agriculture and Food, Western Australia

3. Wool demand and supply - short term volatility, long term opportunities, Chris Wilcox, Principal of Poimena Analysis

4. Lifetime management for maternal ewes, Mike Hyder, Research Officer, Department of Agriculture and Food, Western Australia

5. National Livestock Identification System (NLIS) for sheep and goats - what is the NLIS database? Leigh Sonnermann, …

Electro-Mechanical Modelling And Identification Of Electroactive Polymer Actuators As Smart Robotic Manipulators, Rahim Mutlu, Gursel Alici, Xingcan Xiang, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part A

Electroactive polymer (EAP) actuators, also known as artificial muscles, have remarkable properties such as low energy consumption, low weight, low actuation foot-print, compliance and bio-compatibility. Several methodologies have been proposed to model and analyse their quasi-static bending behaviour with negligible attention paid to their dynamic behaviour. We, therefore, report on an enhanced methodology to model their highly non-linear bending behaviour by treating them as smart and soft robotic manipulators. The methodology consists of an inverse kinematic model and a dynamic model. The proposed methodology accurately estimates the EAP actuator's whole shape deflection using optimization-based inverse kinematic solutions integrated with an …

Identity Based Identification From Algebraic Coding Theory, Guomin Yang, Chik How Tan, Yi Mu, Willy Susilo, Duncan S. Wong

Faculty of Engineering and Information Sciences - Papers: Part A

Cryptographic identification schemes allow a remote user to prove his/her identity to a verifier who holds some public information of the user, such as the user public key or identity. Most of the existing cryptographic identification schemes are based on number-theoretic hard problems such as Discrete Log and Factorization. This paper focuses on the design and analysis of identity based identification (IBI) schemes based on algebraic coding theory. We first revisit an existing code-based IBI scheme which is derived by combining the Courtois-Finiasz-Sendrier signature scheme and the Stern zero-knowledge identification scheme. Previous results have shown that this IBI scheme is …

Electroactive Polymers As Soft Robotic Actuators: Electromechanical Modeling And Identification, Rahim Mutlu, Gursel Alici, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part A

Biologically inspired robotic applications have recently received significant attention due to developments in novel materials and actuators with an operation principle similar to the natural muscles’. Electroactive polymer (EAP) actuators, also known as artificial muscles, possess extraordinary properties such as low efficiency consumption, compliance, bio-compatibility and ability to be miniaturized. Although several methodologies have been proposed for modeling and identification of their quasi-static bending behavior, a negligibly small attention has been given to their dynamic behavior. In this paper, we, therefore, report on their electromechanical modeling and parameter identification. We model the tri-layer EAP actuators as a soft robotic actuator …

Parameter Identification Study Of A Trilayer Conjugated Polymer Actuator Curvature Model, Emmanuel D. Blanchard, Patrick S. Chen, Chuc H. Nguyen

Faculty of Engineering and Information Sciences - Papers: Part A

This article investigates the effect of two uncertain parameters on a recent new model of conjugated polymer actuators. These uncertain parameters are the diffusion coefficient (D) and the double-layer capacitance (C dl), which are difficult to measure directly. The model sensitivity to these parameters is analysed and a parameter estimation study is performed using artificially generated data. The parameter estimation method used in this article is based on a Bayesian cost function, and gives us an insight on how much the estimation can be trusted, which is useful information for the design of controllers. Results indicate that for controllers to …

Parameter Identification Study Of Frequency Response Data For A Trilayer Conjugated Polymer Actuator Displacement Model, Emmanuel D. Blanchard, Mitchell J. Smith, Chuc H. Nguyen

Faculty of Engineering and Information Sciences - Papers: Part A

This article investigates the effect of three uncertain parameters on a model of conjugated polymer actuators. These uncertain parameters are the diffusion coefficient (D), the resistance (R), and the double-layer WKLFNQHVV / 7KH PRGHO VHQVLWLvity to these parameters is analyzed and a parameter estimation study is performed using artificially generated data as well as laboratory yielded experimental measurements. The parameter estimation method used in this article is based on a Bayesian cost function, and gives us an insight on how much the estimation can be trusted, which is useful information for the design of controllers. Results indicate that for stochastic …

Indian Millennials: Are Microchip Implants A More Secure Technology For Identification And Access Control?, Christine Perakslis, Katina Michael

Faculty of Engineering and Information Sciences - Papers: Part A

This mixed methods study with a sequential explanatory strategy explored qualitatively the statistically significant quantitative findings relative to Indian respondents' perceptions about RFID (radio frequency identification) transponders implanted into the human body. In the first analysis phase of the study, there was a significant chi-square analysis reported (χ2 = 56.64, df = 3, p =.000) relative to the perception of small business owners (N = 453) that implanted chips are a more secure form of identification and/or access control in organizations and the respondents' country of residence. Countries under study included Australia, India, the UK and US. The country contributing …

Identification Of The [Fefe]-Hydrogenase Responsible For Hydrogen Generation In Thermoanaerobacterium Saccharolyticum And Demonstration Of Increased Ethanol Yield Via Hydrogenase Knockout, A. Joe Shaw, David A. Hogsett, Lee R. Lynd

Dartmouth Scholarship

Three putative hydrogenase enzyme systems in Thermoanaerobacterium saccharolyticum were investigated at the genetic, mRNA, enzymatic, and phenotypic levels. A four-gene operon containing two [FeFe]-hydrogenase genes, provisionally termed hfs (hydrogenase-Fe-S), was found to be the main enzymatic catalyst of hydrogen production. hfsB, perhaps the most interesting gene of the operon, contains an [FeFe]-hydrogenase and a PAS sensory domain and has several conserved homologues among clostridial saccharolytic, cellulolytic, and pathogenic bacteria. A second hydrogenase gene cluster, hyd, exhibited methyl viologen-linked hydrogenase enzymatic activity, but hyd gene knockouts did not influence the hydrogen yield of …

Identification Of Factors Limiting The Critical Current Density In Mgb2 _Xcx Superconductors At Low Magnetic Fields, Olga V. Shcherbakova, Alexey V. Pan, Jianli Wang, Andrey Shcherbakov, S. X. Dou, David Wexler

Faculty of Engineering - Papers (Archive)

Structural analysis and electromagnetic measurements have been performed on a range of samples prepared by the liquid mixing approach to doping MgB2 are sugar, malic acid, and polycarbosilane. The results obtained have allowed us to clarify the contributions of the factors limiting critical current at low magnetic fields in doped MgB₂.

Validation Of A Resonant Frequency Model For Polypyrrole Trilayer Actuators, S. W. John, G. Alici, C. Cook

Faculty of Engineering - Papers (Archive)

Conducting polymers are new materials that can be used as low-voltage actuators and active flexure joints, scaling down to the microscale; however, many devices based on these actuators are limited because they can only operate when submerged in an electrolyte. Conducting polymer trilayer actuators are laminated structures with a wide range of potential applications as they are capable of operating both in air and liquid environments, but their dynamic behavior is not yet fully understood.With the view to developing a comprehensive dynamic model of trilayer actuators, this paper presents the experimentally obtained frequency response of the actuator displacement, as measured …

Radio Frequency Identification (Rfid) Tag, Purdue Ect Team

ECT Fact Sheets

For the receipt and tracking of pipe supports material at construction jobsites, the proprietary electronic identification tags, RFID (Radio Frequency Identification) was designed and manufactured by SAT Corporation. A RFID system consist of two major components (reader and the tag) which work together to provide the user with a non-contact solution to uniquely identify people, assets, and locations.

Rp-1 Polymer Identification System : Recycler Of Plastics, Purdue Ect Team

ECT Fact Sheets

It has been noticed that one of the primary obstacles in recycling is the lack of sufficient means to avoid cross contamination during collection. In particular, the new method to quickly and easily identify materials has been demanded in plastic industry due to the dramatic acceleration of plastic consumption in the last forty years. SpectraCode's new technology enables the instant point-and-shoot identification of black plastics, extracting a definitive signature from most black plastics in half a second or less. This speed is achieved through a modified probe that uses a sampling technique SpectraCode calls distributed focusing. This technology, when used …

New Access Control Technologies: Biometric Identification, Purdue Ect Team

ECT Fact Sheets

Biometrics are computerized methods of recognizing people based on physical or behavioral characteristics. The main biometric technologies include face recognition, fingerprint, hand geometry, iris, palm prints, signature and voice. Biometric technologies can work in two modes – authentication (one-to-one matching) and identification (one-to-many) matching. However, only three biometrics are capable of the latter – face, finger and iris.

Identification Of A Time-Delayed Process Model Using An Overparameterisation Method, John Roe, Ruiyao Gao, Aidan O'Dwyer

Conference papers

An extensive literature exists on the estimation of the model parameters of time-delayed processes. This paper briefly reviews the main overparameterisation methods for the Single-Input, Single Output (SISO) and Multi-Input, Multi-Output (MIMO) model parameter (and time delay) estimation problem. Subsequently, two algorithms, and their modifications, are discussed, and their performances are assessed in simulation. Results indicate that both the algorithms can suitably identify the model parameters, including the time delay. The third author has taught the method successfully to students taking advanced level control courses at DIT for a number of years; these experiences will be briefly reported. The paper …

Detection And Identification Of Vehicles Based On Their Unintended Electromagnetic Emissions, Xiaopeng Dong, Haixiao Weng, Daryl G. Beetner, Todd H. Hubing, Donald C. Wunsch, Michael Noll, Huseyin Goksu, Benjamin Moss

Electrical and Computer Engineering Faculty Research & Creative Works

When running, vehicles with internal combustion engines radiate electromagnetic emissions that are characteristic of the vehicle. Emissions depend on the electronics, harness wiring, body type, and many other features. Since emissions are unique to each vehicle, these may be used for identification purposes. This paper investigates a procedure for detecting and identifying vehicles based on their RF emissions. Parameters like the average magnitude or standard deviation of magnitude within a frequency band were extracted from measured emission data. These parameters were used as inputs to an artificial neural network (ANN) that was trained to identify the vehicle that produced the …

Development And Implementation Of New Nonlinear Control Concepts For A Ua, Vijayakumar Janardhan, Derek Schmitz, S. N. Balakrishnan

Mechanical and Aerospace Engineering Faculty Research & Creative Works

A reconfigurable flight control method is developed to be implemented on an Unmanned Aircraft (UA), a thirty percent scale model of the Cessna 150. This paper presents the details of the UAV platform, system identification, reconfigurable controller design, development, and implementation on the UA to analyze the performance metrics. A Crossbow Inertial Measurement Unit provides the roll, pitch and yaw accelerations and rates along with the roll and pitch. The 100400 mini-air data boom from spaceage control provides the airspeed, altitude, angle of attack and the side slip angles. System identification is accomplished by commanding preprogrammed inputs to the control …

An Adaptive Neural Network Identifier For Effective Control Of A Static Compensator Connected To A Power System, Salman Mohagheghi, Jung-Wook Park, Ganesh K. Venayagamoorthy, Mariesa Crow, Ronald G. Harley

Electrical and Computer Engineering Faculty Research & Creative Works

A novel method for nonlinear identification of a static compensator connected to a power system using continually online trained (COT) artificial neural networks (ANNs) is presented in this paper. The identifier is successfully trained online to track the dynamics of the power network without any need for offline data and can be used in designing an adaptive neurocontroller for a static compensator connected to such system.