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Wednesday, November 15
 

08:30

Registration
Registration open to pick up badges

Wednesday November 15, 2017 08:30 - 09:00
Crush area 180 Portugal Cove Road, St. John's, NL, Canada

09:00

Keynote: Building a New Type of Wireless Power: The Story of Solace Power & RC2 Technology
Kris McNeil started Solace Power in 2007 as an engineering research and development company based out of Memorial University's technology incubator, the Genesis Centre. His singular vision was to cut the cords and find a way to deliver wireless power to products that typically use cords and cables for electronic charging. Ten years later, Solace's Resonant Capacitive Coupling technology, or RC2, has reached commercialization and is being used by enterprises in multiple industries around the world. Solace recently signed a multi-year licensing agreement with Byrne, a leading power and data solutions company located in Rockford, Michigan to integrate Solace's RC2 technology into their mobile power solutions for commercial office, education and healthcare furniture. And this is just the beginning. Kris McNeil will discuss the evolution of the company and share his insights on building the new power system and raising millions of dollars in public and private investment along the way.


Wednesday November 15, 2017 09:00 - 10:00
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

10:00

Thermal modeling and hybrid renewable power system design for a house in Harbour Main, NL.
Hybrid power system design involves the combination of two or more renewable energy sources for power supply of a house. Solar and wind renewable energy source are mostly used for residential applications than other sources. In this paper, thermal model of a house in Newfoundland is presented. Using the thermal model, hourly load of the house is determined. A hybrid power system is designed to meet the needs of the house in Harbour Main, NL. Hybrid power system consisting of a 4.43kW PV, a 3.7kW wind turbine, 16, 12V batteries and a 7kW inverter is designed for the house. Two other system options i.e. PV only and wind turbine only are also discussed in the paper. The paper also included details of all loads in the house. This research shows that the designed hybrid power system can meet all electrical needs of the house and system could be installed on the roof and in the backyard.


Wednesday November 15, 2017 10:00 - 10:20
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

10:00

The Use of Artificial Neural Networks in Hindcasting and Filling Gaps in Buoy Wind Speed Data Under Extreme Winds
The present work approaches the use of artificial neural networks in hindcasting and filling gaps in buoy wind speed data during events of extreme wind. The chosen network architecture is a nonlinear auto-regressive neural network with exogenous entries. Significant wave height was chosen as the input after cross-correlation analysis, which determined the number of input and feedback delays. In order to test the method, a data set from a buoy in Placentia Bay, NL during the extreme wind event of March 11, 2017 was used, in comparison to other wind estimation methods, i.e. the Sverdrup-Munk-Bretschneider (SMB) relationship, power series regression, and backpropagation neural networks. The presented method outperformed all other techniques, with a mean absolute error below 1 m/s and correlation coefficient of 0.95 during hindcasting, and it was able to fill the gaps in the data following the trend of other weather stations positioned close to the buoy, proving the efficacy of the method.


Wednesday November 15, 2017 10:00 - 10:20
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

10:00

Dryness Estimation Using Three Variables of the Land Surface Temperature, Perpendicular Vegetation Index, and Soil Moisture Content
The Land Surface Temperature (LST), vegetation status, and soil moisture content are the most important indicators of dryness. In this study, these three variables were used to develop a new dryness index. The index was then compared to the Perpendicular Drought Index (PDI), Modified Perpendicular Drought Index (MPDI), as well as Temperature-Vegetation Dryness Index (TVDI). Among the evaluated indices, the proposed index showed the highest accuracy. The reason was that the proposed index took into account all important variables for dryness estimation. In addition, a dryness map of Iran was produced by applying the proposed index on the MODerate Resolution Imaging Spectrometer (MODIS) data to show the high performance of the proposed index in large scale applications.


Wednesday November 15, 2017 10:00 - 10:20
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

10:00

Temporal Data Placement: a First Look.
How a can a programmer get data to be where it's needed when it's needed? This is an important problem if we want programs to run correctly and efficiently on modern architectures. Our approach, Temporal Data Placement, provides a systematic and verifiable way to place data so that it is replicated when it should to be and so it can migrate to where it is needed before it is needed. We anticipate that temporal data placement can be automated to allow programs to be automatically transformed by optimizing compilers.


Wednesday November 15, 2017 10:00 - 10:20
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

10:20

GENERATION OF HYDROELECTRICITY IN CHANGING GLOBAL WARMING CONDITIONS
We are experiencing massive storms in tropical areas upsetting the rain pattern thereby affecting total volume of water in the reservoirs. Certain areas are getting heavy rains---in fact excessive rains whereas other areas are remaining dry. Recently, USA experienced heavy rains in Texas and Florida recently and these storms caused excessive rain in Newfoundland. In recent times, California and southern USA states went through drought situation for number of years. The present work deals with prediction of rain in the Jharkhand state in India, a tropical area. It predicts the rain 8 months in advance quite accurately. This early prediction helps in planning for power generation as well as storing water for cities and municipalities or the stored water can be used in agriculture. The result is due to refinement in the theoretical model.


Wednesday November 15, 2017 10:20 - 10:40
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

10:20

VLF experimentation by radio amateurs
The high reliability of very low frequency (VLF) (3-30 kHz) propagation brings it in favour over high frequency (HF) (3-30 MHz) and low frequency (LF) (30-300 kHz) when satellite intermediates are precluded. Until recently, amateur communication has been constrained to the upper end of the medium frequency (MF) band and higher. Exploration of LF has been ongoing since the 1990s. VLF systems have been developed by innovative experimenters and global amateur VLF communication is now a reality. The success of this venture is due in large part to the understanding and application of antenna and information theory. These will be explored and an ongoing enigma will be posed in which the signal carrier vanishes during phase shift keying. The resultant spectra bear a striking resemblance to those of Doppler shifted backscatter radiation from ocean waves.


Wednesday November 15, 2017 10:20 - 10:40
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

10:20

So you have a kick ass remote sensing algorithm. Now what?
Abstract: Remote sensing is complex field of expertise that requires knowledge of sophisticated sensors and advanced math and statistics that are the fodder of graduate, and post graduate students. This is changing. There is remote sensing revolution happening with the explosion of new and economical or even free sources of remote sensing data, cheap computing resources, and open source software allowing a broader audience to enter into this area. This presentation will focus on thinking beyond the math required to derive a specific insight. It will review how people are learning to automate processing chains, digitizing data, and combining processed data to make meaningful results for end customers for a commercial venture. It will highlight C-CORE strategy on how we are taking our strong research background extending this to make commercially relevant products.


Wednesday November 15, 2017 10:20 - 10:40
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

10:20

Concurrent Software Verification with Explicit Transfer of Permission
Concurrent software is difficult to reason about and impossible to verify by testing. Yet much software written today is concurrent. We therefore need practical mechanisms to automatically verify concurrent software. I propose a way of annotating concurrent programs based on fractional permissions, dynamic frames, and explicit transfer of permissions. An annotated program may be automatically verified by translating to a sequential intermediate verification language such as the Boogie IVL and then verifying a set of sequential fragments.


Wednesday November 15, 2017 10:20 - 10:40
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

10:40

A Fuzzy C-means Based Clustering Technique for Wind Farm Generation Adequacy Evaluation
The Capacity Outage Probability Table (COPT) is the most common analytical model for the generation adequacy evaluation. A recursive algorithm can be used to form the COPT which demonstrates arrays of capacity levels of generation with their probabilities of occurrence. The number of states in a COPT is a critical task since more states generally mean a higher modelling accuracy and also a longer computation time. In this study, the wind farm generation adequacy using hourly wind speed data of St. John's, Newfoundland and Labrador, Canada will be investigated. Fuzzy c-means method is used to determine appropriate number of states in the COPT. The study results are demonstrated using Roy Billinton Test System (RBTS). Unlike the existing methods, the computation complexity is declined by using Fuzzy c-means method, and the model of a wind farm is simplified. This analytical analysis is useful for financial investigators and planners of wind farm generation projects.


Wednesday November 15, 2017 10:40 - 11:00
Crush area 180 Portugal Cove Road, St. John's, NL, Canada

10:40

A NOVEL HIERARCHICAL FRAMEWORK FOR WETLAND CLASSIFICATION BASED ON A MULTI-FREQUENCY AND MULTI-POLARIZATION SAR DATA
In this study, a novel hierarchical object-based Random Forest classification approach is proposed for discriminating between different wetland classes in a sub-region located in the northeastern portion of the Avalon Peninsula. Particularly, multi-polarization and multi-frequency SAR data, including X-band TerraSAR-X single polarized (HH), L-band ALOS-2 dual polarized (HH/HV), and C-band RADARSAT-2 fully polarized images, were applied at different classification levels. The overall accuracy and kappa coefficient were determined in each classification level for evaluating the classification results. The importance of input features was also determined using the variable importance obtained by Random Forest. Using this new hierarchical RF classification approach, an overall accuracy of up to 92% was obtained for classifying different land cover types in the study area.


Wednesday November 15, 2017 10:40 - 11:00
Crush area 180 Portugal Cove Road, St. John's, NL, Canada

10:40

Computer Controlled X-ray Diffraction Spectra of Asphalt Binder
Computer controlled characterization of X-ray diffraction (XRD) spectra of asphalt binder were studied with respect to X-ray background type, profile fit and dimensional analysis. Four different background types (linear, parabolic, 3rd and 4th order polynomial) were used in order to assess the precision of fit and residual error of fit. Mathematical functions (Pearson VII, pseudo-Voigt, generalized Fermi) are also employed in this analysis. When varying the Pearson VII exponent (1.6, 2.0) and pseudo-Voigt Lorentzian (1.0) constant the results show an effect on the X-ray peak position and calculated average size of crystallite parameters. The interlayer distance between the aromatic sheets (dM) was determined to be between 4 to 5 angstroms and the distance between the saturated portions (d?) at 5 to 7 angstroms. For all cases the lowest residual error of fit was the 4th order polynomial X-ray background type.


Wednesday November 15, 2017 10:40 - 11:00
Crush area 180 Portugal Cove Road, St. John's, NL, Canada

10:40

Cursive handwritten Malayalam character recognition and articulation using ANN with DWT
This paper describes a new feature extraction method for optical character recognition (OCR) system for recognizing handwritten documents in Malayalam and its pronunciation. Malayalam is one of the 22 officially recognized language of India, Malayalam character recognition has gained immense popularity in the past few years. The intrinsic challenges present in this domain along with the large character set of Malayalam and its cursive structure further complicate the recognition process. This paper proposes a new efficient feature extraction method for training the feed-forward back propagation neural network by using discrete wavelet transform (DWT) and at the same time recognized character is pronounced with the help of text-to-speech system (TTS).


Wednesday November 15, 2017 10:40 - 11:00
Crush area 180 Portugal Cove Road, St. John's, NL, Canada

10:40

EEG Correlates of Learning to Navigate a Novel Virtual Environment
The process of training and skill acquisition is essential for workers in high-risk environments. A particularly important aspect of safety and emergency response training in such environments is learning a new environment. This can be facilitated through the use of a virtual environment simulator along with adequate performance assessment metrics. Currently, user performance is evaluated solely using behavioral metrics. However, the processing efficiency theory suggests that neural signals could provide additional information about an individual's skill level that behavioural metrics cannot. Recent studies have identified neural metrics, as measured by electroencephalography (EEG), associated with the learning of tasks such as flying an aircraft and performing surgery. However, neural indicators of learning a spatial environment have not been investigated. The results of this study expand the applicability of previous findings to offer an improved evaluation of spatial knowledge.


Wednesday November 15, 2017 10:40 - 11:00
Crush area 180 Portugal Cove Road, St. John's, NL, Canada

10:40

The Incipient Detection of Induction Motor Broken Rotor Bar Fault by YUL AR and MUSIC Pseudo Spectrum Method.
Abstract-This paper presents a new detection method for broken rotor bar fault (BRB) in induction motors based on the estimation of signal parameters via YULE Walker Auto Regression (YUL-AR) power spectral density estimate method and MUSIC pseudo spectrum. The performance of the two aforementioned technique are tested with the simulated stator current signal of an induction motor with BRB. The results obtained from technique show consistent result with established techniques. The technique is capable of correctly identifying the frequencies of the BRB characteristic components but limited accuracy result for amplitudes and harmonic frequencies components. . Results obtained proves that the proposed method is a promising choice for BRB detection in induction motors operating under normal and transient load condition.


Wednesday November 15, 2017 10:40 - 11:00
Crush area 180 Portugal Cove Road, St. John's, NL, Canada

10:40

Poster Session and Coffee Break
Poster session runs during morning break.

Wednesday November 15, 2017 10:40 - 11:00
Crush area 180 Portugal Cove Road, St. John's, NL, Canada

11:00

Multi-Parameter Estimation of Multiple Sinusoidal Signals in the Presence of Additive White Gaussian Noise
A new algorithm for estimating the multiple parameters (amplitude, phase and frequency) of a sinusoidal signal composed of the sum of multiple sinusoids and corrupted by additive white Gaussian noise is presented. This algorithm uses adaptive notch filters (ANFs) and a linear model. For the case where the frequencies of the sinusoids are among the unknown parameters, the ANFs first provide an accurate estimate of the frequency for each sinusoid. The linear model then uses the estimated frequencies to jointly estimate the corresponding amplitude and phase. For the case where the frequencies of the sinusoids are known but the amplitudes and phases are unknown, the linear model is used to obtain joint estimates of the amplitude and phase. Simulation examples are carried out to show the effectiveness of this algorithm. It is shown that the Cramer-Rao lower bound is asymptotically attained in most cases. The sensitivity of the linear model to the estimates of the ANF is also discussed.


Wednesday November 15, 2017 11:00 - 11:20
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

11:00

The Dynamic Modeling and Simulation of Hybrid Power System for a Remote Location in China
Currently, most of the people in rural areas in China are connected to the grid, but they face low voltage due to long transmission lines and less grid stability. Besides that, the shortage and pollution caused by traditional energy generation are also important issues for Chinese power industry. Hybrid renewable power systems are more suitable for these areas, and can provide a better power quality. This paper discus how a hybrid power system is sized for a remote location in China, and how the system expected dynamics are simulated to check system stability. Thermal modeling of a house in China and sizing of a hybrid power system using Energy 3D and Homer is presented in the paper. Dynamic modeling of the designed system in Simulink and simulation results are included. Finally, a conclusion is made that hybrid renewable power systems consisting PV, diesel generator and battery storage are a better option for houses in rural China.


Wednesday November 15, 2017 11:00 - 11:20
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

11:00

Comparing the gait analysis of a Kinect system to the Zeno Walkway: Preliminary results
Pressure sensitive walkways are a commonly used measuring device for gait analysis. However, they can be prohibitively expensive for out-of-clinic measurements. An alternative approach to gait analysis is the use of a depth sensing camera (e.g., the Kinect). Our approach is to collect lower-body gait data using a single, inexpensive Kinect camera, with a line of sight perpendicular to the walking path. Participants with MS performed walking passes on a pressure sensitive walkway and in front of the camera. The following gait metrics were measured with both systems: step length, stride length, stride width, and stride velocity. We present the preliminary results of comparing gait metrics, showing Spearman correlations ranging from 0.857 to 0.976. These preliminary results suggest that inexpensive gait tracking may be a practical reality in non-clinical settings.


Wednesday November 15, 2017 11:00 - 11:20
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

11:00

HF Radar Ocean Surface Cross Section Models with Consideration of Platform Pitch and Roll Motions
The first- and second-order high frequency radar cross sections of the ocean surface incorporating pitch and roll motion of a floating platform are derived. Based on these newly derived radar cross sections, simulations are conducted to show the effect of the pitch and roll motion on the radar Doppler spectra. Compared to the conclusions made from the existing work, the radar cross section models proposed in this paper are reasonably validated. Results show that pitch and roll motion bring a frequency modulation to the radar signal. These cause motion-induced peaks to appear symmetrically in the Doppler frequency. The effect of pitch and roll motion on the radar Doppler spectra is seen to be similar to that caused by horizontal motion of the platform. Increasing the amplitudes of the pitch and roll motion is seen to produce a greater modulation effect on the Doppler spectra.


Wednesday November 15, 2017 11:00 - 11:20
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

11:20

Color-Based Object Tracking using Mean Shift and Interactive Multiple Model Kalman Filtering
This paper presents an object tracking system that uses mean shift with Interactive Multiple Model (IMM) Kalman filtering. The system represents targets using a weighted color histogram. The target window is masked with a Gaussian kernel to approximate its probability density function (PDF). The mean shift algorithm locates the mode of a PDF by ascending its gradient. The target is iteratively tracked in each video frame using the mean shift vector. Convergence occurs when the target and target candidate have similar color histograms. Each mean shift position estimate is used as a measurement in the IMM filter. The IMM algorithm runs two Kalman filters in parallel to estimate the target location in the next frame. The estimates from each filter are mixed to yield a weighted prediction. The motion models used by the IMM filter were constant velocity and constant acceleration. The results show that pairing the IMM and mean shift methods improves tracking accuracy and computation time.


Wednesday November 15, 2017 11:20 - 11:40
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

11:20

Identification of electromechanical modes from Power System oscillatory data using time domain technique.
Power system modelling for stability studies are useful in understanding the system behavior in the event of a disturbance. Due to approximated lower order models and cost, the actual behavior of the system is different than expected from the model. Therefore, system identification by estimating modal parameter is highly useful for developing low order model and tuning linear control system which includes the effect of unknown disturbances. In this paper, three types of time domain techniques namely Prony analysis, eigenvalue realization, matrix pencil method is used for estimating the modal parameters in the oscillatory data. A WECC 9 bus system is considered as a case study. The transient oscillatory data is simulated using PowerWorld and the modal parameters are estimated using the three time domain techniques. The application of the time domain techniques is also discussed in view of power system operation and stability and the results are compared with convectional modal analysis.


Wednesday November 15, 2017 11:20 - 11:40
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

11:20

A Review on Digital Signal Processing Approaches in ECG R-peak Detection
Extracting as much information as possible from electrocardiography (ECG) has been a target for researchers for decades. In this work, three DSP based R-peak detection methods are reviewed, including the Pan-Tompkins algorithm, and methods based on the Hilbert transform and wavelet transform. Those algorithms are applied to the publicly available MIT/BIH arrhythmia database and a database collected by the authors. While all three approaches derived the same results when applied to the authors' database, they showed slightly different performance when applied to the MIT/BIH arrhythmia database: Hilbert transform based method showed very good performance with 99.87% of accuracy, higher than those from wavelet transform based approach (99.55%) and Pan-Tompkins algorithm (99.34%). However, Pan-Tompkins algorithm is the most computationally efficient (approximately 4.3 times faster than wavelet transform method, and 42.5 times faster than Hilbert transform method).


Wednesday November 15, 2017 11:20 - 11:40
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

11:20

A Novel Method for Classification of Complicated Land Covers Using Remote Sensing Techniques
Land cover classification is a common application of Remote Sensing, which often yields desirable results. However, this task becomes quite challenging when the target classes are spectrally similar. In this paper, a method is proposed which attempts to alleviate this issue. In the proposed method, not all the objects are given a label at the same time, but the objects belonging to each class are delineated in different steps and each step is associated with a separate feature selection and classification. The suggested approach was applied to the Avalon peninsula, located in Newfoundland and Labrador, Canada. The obtained average producer and user accuracies of wetlands was 79% and 77% , respectively, which was 17% and--% percent superior to those of classification using the typical method. Therefore, the proposed approach can be potentially applied to distinguish between the classes of any complicated land cover.


Wednesday November 15, 2017 11:20 - 11:40
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

11:40

Facial Recognition Techniques Comparaison : Principle Component Analysis (PCA), Two-Dimensional (2D-PCA), and discrete cosine transform (DCT)
In this paper, three different facial recognition algorithms are evaluated and compared, namely, principle component analysis (PCA), two-dimensional PCA (2D-PCA), and discrete cosine transform (DCT). The effect of the presence of the Gaussian and salt and Pepper noises was also considered during the evaluation of these algorithms. The results show that the best performance was obtained using the DCT algorithm with 92% dominant eigenvalues and 95.25 % accuracy.


Wednesday November 15, 2017 11:40 - 12:00
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

11:40

Dynamic Modeling and Simulation of a Solar Water Pumping System with energy storage
This paper describes the dynamic modeling of system used for extraction of groundwater for irrigation using alternative source of energy. The system is designed based on site data of an existing project in Lalmonirhat, Bangladesh. The system comprises of a 38.4 kWp solar photovoltaic array, inverter, ac motor and pump set which can discharge a maximum of 1930m3 of water per day. MATLAB Simulation is done with two kind of energy storage system i.e. in form of electric energy using battery or in form of stored water using a large water tank. A large battery bank and a transformer are needed for the first approach, which turns out as a costly solution. On the other hand, the system needs a boost converter and a large water tank to store around 2000m3 of water, which is also a costly solution. Effectiveness of these both arrangements are compared from the economic point of view. This paper also tries to find out an optimum solution combining both approaches.


Wednesday November 15, 2017 11:40 - 12:00
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

11:40

Sensory Effects of Dichoptic Saccadic Adaptation
Strabismus is a medical condition in which the eyes are misaligned, resulting in visual suppression and impaired stereoscopic depth perception. In normally-sighted subjects, eye movement (saccade) amplitudes can be manipulated independently in the two eyes using a saccadic adaptation procedure, which may have utility for rehabilitation in patients with strabismus. We evaluated the sensory effects of this procedure in 7 subjects (6 normally sighted, one with strabismus). Eye movements were measured using an eye tracker while saccade amplitudes were either recalibrated inwards for both eyes or in different directions for the two eyes. Sensory effects were then analyzed using a dichoptic Vernier task that measured the perceived alignment of lines shown to different eyes. Subjects' judgments indicated that transient strabismus can be induced in normally sighted individuals and temporary correction can be induced in a strabismic subject.


Wednesday November 15, 2017 11:40 - 12:00
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

11:40

Radar backscatter from sea ice ridges modeled as rough and layered media
Although sea ice ridges are stronger than level ice and are responsible for significant ice volume in the Arctic, they are generally not represented on the ice charts produced by national ice centres. Tools such as ground penetrating radar can be used to measure ice thickness and indicate ice strength. The research involves deriving the equations that describe how electromagnetic waves interact with sea ice ridges, which have been modeled as rough, layered media. Preliminary sea ice models have been generated and simulations of the backscatter from stratified media have been prepared. A model describing the backscatter from a one-dimensional rough surface has been generalized to be applicable for sea ice and initial results are presented.


Wednesday November 15, 2017 11:40 - 12:00
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

12:00

Copy-Move Forgery Detection based on Enhanced PatchMatch
Image forgery detection approaches are varied and serve same objectives. However, the difference in image properties causes some limitations of most of these approaches. Integrate multiple forensic approaches to increase the efficiency of detecting and localize the forgery was proposed based on the same image input source. In this paper, we propose a new detector algorithm based on different image source format. We propose approach to detect a copy-move forgery based on PatchMatch enhanced by the dense field technique. The F-measure score used same evaluation function to make the system more robust. The output result shows high efficiency of detecting and localizing the forgery in different image formats, for passive forgery detection.


Wednesday November 15, 2017 12:00 - 12:20
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

12:00

Prospect of concentrated solar power to mitigate the power crisis in the islands of Bangladesh
As an energy starved country, Bangladesh is focusing on increasing the use of renewable energy sources for the power generation and concentrated solar power (CSP) is one promising type of renewable energy source. The islands of Bangladesh are yet to connect with the national grid so this research investigated key requirements to install concentrated solar power based power plant in the Sandwip Island. After analyzing environmental conditions, economic prospect and load/demand data a twenty-megawatt parabolic trough CSP plant for the island is proposed in this research. System Advisor Model (SAM) is used to prepare the simulation model. The simulation is conducted based on the real environmental condition of the Sandwip Island and simulation result indicate that the generated power is sufficient to empower the entire island. A cost comparison is carried out among different renewable energy sources to ensure the economic feasibility of the proposed system.


Wednesday November 15, 2017 12:00 - 12:20
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

12:00

Musical Instrument Recognition Based on Vocal Structure Features and Human Hearing Characteristics
In this paper, a musical instrument recognition system is proposed. To realize the system, first we obtain the monophonic musical signals played by various kinds of instruments. Regardless of the relatively complicated feature selection process introduced in other work, we only extract features that stand for the vocal structures of instruments (LPCCs) and characteristics of human hearings (MFCCs), as well as their differential coefficients. By combining those features into feature vectors, certain classifiers (k-NN, SVM) have been selected to classify the vectors into different instruments. The results show that feature vectors containing MFCCs perform better than those without MFCCs. Nevertheless, the combination of the LPCCs and MFCCs yields the best results. For the selection of classifiers, although k-NN requires less training time in our system, SVM will be more favorable when the dimension of feature vectors and the number of samples increase.


Wednesday November 15, 2017 12:00 - 12:20
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

12:00

An Alternative Periodogram-based Derivation of the First-order Radar Cross-Section for a Bistatic HF-radar configuration
Since the time of Lord Rayleigh, the usual approach to find the power spectral density of the reflected electric field from a rough surface has been to represent the surface as a Fourier series, and then find the Fourier transform of the autocorrelation of this reflected E-field. This can be viewed as a correlogram approach to finding the power spectral density. In the present work, we instead use a periodogram-based approach, which calculates the power spectral density directly in the frequency domain. From the calculated power spectral density, an alternative form of the first-order radar cross section per unit area of the ocean surface is found. In this paper, the derivation of this new first-order radar cross section per unit area will be detailed, and compared to those from the traditional correlogram approach.


Wednesday November 15, 2017 12:00 - 12:20
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

12:20

Luncheon: Kraken Robotic Systems and the Search for the Avro Arrow
Mr. Shea will tell the exciting story of how Kraken Robotics used cutting-edge Canadian underwater technology to resurrect cutting-edge Canadian Aerospace Technology in the search for the Avro Arrow models.


Wednesday November 15, 2017 12:20 - 13:40
Salon D 180 Portugal Cove Road, St. John's, NL, Canada

13:40

MODELING OF SOLIDIFICATION OF PHASE CHANGE MATERIAL AROUND FINNED TUBE FOR THERMAL ENERGY STORAGE
This present work investigates a possible configuration of tubes with cylindrical embedded fins in phase change material for the purpose of latent heat energy storage.Such systems are difficult to analyze theoretically due to the non-linearity of the moving solid liquid interface. In this paper finite volume model is developed to simulate the freezing of phase change material around the outer surface of the circular cylinder finned tube.This simulations predicts the fraction of melted phase change material (PCM),and the shape of the liquid solid interface as function of time.The results are compared in dimensionless from with available references and show fairly good agreement.The model has demonstrated that a shorter discharge time and higher amount of energy can be achieved by increasing the fin diameter and thickness,the number of fins,the temperature deference between phase change material and tube wall .


Wednesday November 15, 2017 13:40 - 14:00
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

13:40

Reliability Analysis of a Communication Link Developed for a SCADA System Using Monte-Carlo Simulation Approach
The primary objective of this paper is to evaluate the reliability of a communication link developed to serve the communication requirement between the server and the remotely located grid tied inverter. A novel approach which combines both static Fault Tree Analysis and Monte Carlo simulation method has been used to achieve the principal objective. In this procedure, firstly the system has been divided into several primary sub systems, and static fault tree is developed based on that. Then the Monte Carlo simulation has been conducted to calculate the reliability indices of the system. Finally, sensitivity analysis has been performed using the Monte Carlo simulation approach. As a conclusion, based on the available data and assumed reliability parameters, this study suggests adding another communication channel to improve the availability of the SCADA system. The approach presented in the article can be easily used to evaluate the reliability of any other communication link.


Wednesday November 15, 2017 13:40 - 14:00
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

13:40

An Operational Wetland Classification Model in Newfoundland and Labrador using Advanced Remote Sensing Methods
While 18 percent of Newfoundland and Labrador (NL) is covered by wetlands, efforts to classify and monitor these valuable landscapes using new technologies have not been seriously addressed so far. The purpose of this study was to develop new and advanced remote sensing methods to classify wetlands in NL with efficient applicability in national Canadian Wetland Inventory (CWI). For this, multi-source optical satellite data were inserted into an object-based Random Forest (RF) algorithm. Several separability analyses were also performed to select the best spectral bands of each satellite. Achieving the high level of classification accuracy in the study area (88%) proved the great potential of the proposed method for wetland classification in the whole province.


Wednesday November 15, 2017 13:40 - 14:00
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

13:40

Comparison of Monte Carlo Tree Search Methods in the Imperfect Information Card Game Cribbage
Non-deterministic imperfect information games pose challenges for Artificial Intelligence (AI) design, as compared to AI for perfect information games. Monte Carlo Tree Search (MCTS), an AI technique that uses random sampling of game playouts to build a search tree rather than domain-specific knowledge about how to play a given game, has been used successfully in some perfect information games. MCTS has also been implemented for imperfect information board and card games, using techniques including sampling over many determinizations of a starting game state, and considering which information set each player belongs to. In this paper, we first describe the imperfect information card game Cribbage and the MCTS algorithm. We then describe our implementation of Cribbage for two players and several MCTS and non-MCTS-based AI players. We compare their performance and find that Single-Observer Information Set MCTS performs well in this domain.


Wednesday November 15, 2017 13:40 - 14:00
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

14:00

A Comparative Study between Droop and Virtual Synchronous Generator based Inverter Control for Voltage and Frequency Regulation in Microgrids
In a microgrid with large number of distributed generation (DG) units, proper control of grid interfacing inverter is necessary to facilitate safe, stable operation of the system. Droop control is a widely accepted control method in microgrid operation, which can ensure accurate power sharing among DG units in islanded mode and can realize proper power control in grid connected mode. The virtual synchronous generator (VSG) control can provide additional inertia support to the system during disturbance conditions along with emulation of steady state droop characteristics of synchronous generators. In this paper, the droop and VSG methods are evaluated for inverter control in microgrid and compared in terms of their ability to reduce voltage and frequency deviation during disturbance conditions. Several case studies are done to analyze controllers' effectiveness and robustness. Dynamic model of a test microgrid is developed and simulations are carried out in MATLAB/Simulink environment.


Wednesday November 15, 2017 14:00 - 14:20
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

14:00

Bandwidth analysis of electrically small antennas using Bode-Fano and Q factor theorems
A method incorporating Bode-Fano integrals is proposed to evaluate potential bandwidth of small antennas and provide a particular strategy for bandwidth improvement. Moreover, the optimum tolerance of gain-bandwidth limitation for loads, which are presented in Darlington canonical form, can be calculated using Bode-Fano theory. In this paper, Fano limits for rectangular and E-shaped antennas for TM01 mode have been calculated analytically. In other words, the Bode-Fano theory has been applied to the lumped equivalent circuit of microstrip antennas in order to calculate the maximum achievable return loss-bandwidth. The result of applying this theory indicates that creating slots on the microstrip patch antenna despite its advantages can decrease the potential bandwidth of the antenna because Fano integrals reveal the invariant relation between maximum achievable return loss-bandwidth and overall volume of the antenna.


Wednesday November 15, 2017 14:00 - 14:20
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

14:00

Multi-Camera System for Ice Tank Testing Analysis
NRC-OCRE is developing an imaging system for use in its Ice Tank facility in St. John's. This system consists of 20 ceiling-mounted machine vision cameras, the views of which are calibrated, synchronized, and stitched together to obtain global imagery which is synchronized with the facility's data acquisition system. This presentation will discuss the system, algorithms used, and new data products that are being produced to support model testing efforts.


Wednesday November 15, 2017 14:00 - 14:20
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

14:00

A New Mapless Clustering Algorithm
Self-organizing maps have been used for several decades as an artificial neural network model for dimension reduction of high-dimensional data for the purposes of data clustering and visualization. In this paper, we propose a new data clustering method inspired from the self-organizing map. Unlike the self-organizing map, we propose a pre-clustering phase for our method that uses Euclidean distance and cosine similarity. Once data are pre-clustered, this method uses an unsupervised learning phase (training phase), which is similar to the training phase for self-organizing maps. Unlike traditional self-organizing maps, the proposed algorithm does not use a map at all, mitigating the issues associated with its use. The method is also highly-parallelizable which allows for a GPU implementation. Results demonstrating the excellent performance of the proposed clustering algorithm are included in this paper.


Wednesday November 15, 2017 14:00 - 14:20
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

14:20

Optimization of High Efficiency AlxGa1-xAs/Ga0.47 In0.53 AsyP1-y Bandgraded 2-J Tandem Solar Cell by Varying the Mole Fraction of Tunnel Junction
The III-V compound material solar cell offers higher efficiency compared to a single layer of semiconductor material cell, and it is also capable of producing approximately twice as much power due to their superior material characteristics of the bandgap energy under the same condition as a single layer cell. In this paper AlGaAs/GaInAsP 2-J tandem solar cell is designed with Ge substrate. By choosing appropriate values of the mole fractions, suitable bandgaps are used in the descending order to design the whole 2-J cell for attaining optimal spectral efficiency. A tunnel junction AlxGa1-xAs is used to reduce the mismatch current between two subcells. Moreover for better efficiency, the tunnel junction is optimized by varying the mole fraction of the tunnel junction material. The overall characteristics of the 2J tandem cell is simulated and analyzed under AM1.5 spectrum.


Wednesday November 15, 2017 14:20 - 14:40
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

14:20

Data Logging and Control of a Remote Inverter Using LoRa with A Local Storage
The primary objective of this paper is to develop a communication link for monitoring and controlling a grid connected inverter in a remote location. The paper presents developments that have been carried out to improve the communication link. In the first part of the paper LoRa based communication link has been selected from a pool of Radio Teletype, VHF/ UHF data transmission method. Range, data transfer rate, and power consumption have been taken into consideration to select a suitable method. The comparison indicates that LoRa is superior compared to other technologies but has some security and reliability issues. This paper also presents an encryption algorithm to improve the security of the LoRa link. Local data storage added to the system before transmitting data increases the system reliability. Display at the transmission end is added to improve the user friendliness of the developed link. In the end, a method is proposed to improve the reliability of the communication link


Wednesday November 15, 2017 14:20 - 14:40
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

14:20

Satellite Link Margin Analysis
There has been a burgeoning interest in developing small satellites for different applications, such as earth observation and communications. For each mission, there is a need for a reliable communication link at the ground station. The design for such a link requires careful consideration of a number of factors. These include satellite ephemeris/geometry, atmospheric propagation effects, microwave antenna design, noise analysis, RF cascade analysis, modulation schemes, and error correction schemes. A demonstration link budget is presented in order to highlight the required analysis of each of these factors, and how they are combined to produce a satellite downlink design.


Wednesday November 15, 2017 14:20 - 14:40
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

14:20

An Overview and Comparison of Secure Programming Practices in Java and C++
Abstract-Choosing an efficient programming language is a substantial challenge in software development. Several factors should be considered while investigating programming languages; one of the most significant factors is the importance of secure programming. For programmers concerned with application security, the features provided by each language to support secure coding are important to understand. In this paper we discuss secure programming practices in Java and C++, briefly considering their major differences, capabilities and limitations. Index Terms---Software vulnerability, secure programming, memory safety, Java programming, C++ programming.


Wednesday November 15, 2017 14:20 - 14:40
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

14:40

Afternoon Coffee Break
Coffee Break

Wednesday November 15, 2017 14:40 - 15:00
Crush area 180 Portugal Cove Road, St. John's, NL, Canada

15:00

A Low-cost Monitoring and Data Acquisition System for Small Photovoltaic Systems Based on Arduino LoRa
In this research a monitoring and data logging system is designed and developed for small photovoltaic systems. Designed system can monitor various parameters, along with PV and battery voltages and currents. Different sensor modules are connected to an Arduino LoRa Transmitter (ALT) to measure and collect system parameters, while ALT sends the parameters to another (ALR) working a receiver. By using Putty software, the system operator can show the sensing data on a monitoring screen and save data that text file on a computer. Additionally, the distance between ALT and ALR has been tested at different points in St. John's, NL, Canada. The results of the experiments demonstrate that the designed monitoring and data acquisition system can transmit up to 15Km in real-time using only 1.125W. Index Terms---PV Power System, Low-Cost Monitoring System, Arduino based LoRa, Renewable Energy


Wednesday November 15, 2017 15:00 - 15:20
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

15:00

Feasibility Analysis and Design of a Parabolic Trough Concentrated Solar Power Plant in Bangladesh
To resolve the extreme power crisis and consider environmental issues of conventional generation, renewable power plants have been increasingly planned in Bangladesh. Concentrated Solar Power (CSP) could be a viable solution for that. This paper covers technical and financial details for setting up a parabolic through a CSP power plant in Chittagong, Bangladesh. The simulation work has been carried out for 40 years with a 0.1% compound depreciation rate using a System Advisor Module (SAM).Thermal storage system has been integrated with the power plant so that electricity can be generated during the absence of sun and the Hitec solar salt is used as a heat transfer fluid. It has been found that annually 218 GWh of energy can be generated using 923 acres of land with a 12.58% of overall internal rate of return and 19.10 cents/KWh of levelized cost of electricity.


Wednesday November 15, 2017 15:00 - 15:20
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

15:00

Design of a 5-band Parallel Graphic Equalizer Using Infinite Impulse Response Filters with Given 3-dB Points
A simple but efficient design of a 5-band parallel graphic equalizer is proposed. One lowpass, one high pass and three bandpass digital Chebyshev type I infinite impulse response filters with given 3-dB points are first designed. With these filters, a 5-band parallel graphic equalizer is implemented. Most graphic equalizers suffer from gain and interaction error. It is shown in this paper that the designed graphic equalizer exhibits gain error of less than 1 dB and therefore satisfies the ±1 dB error tolerance level for audio equalizers. Unlike other equalizer design methods that use linear interpolation techniques, matrix inversion and optimization algorithms to satisfy the ±1 dB error tolerance, the use of the Chebyshev type I filters with given 3-dB points can satisfy this error tolerance. A preliminary test of the proposed equalizer on audio signal and comparisons with existing design methods indicate the promise of the proposed design for audio signal processing applications.


Wednesday November 15, 2017 15:00 - 15:20
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

15:00

MOVING TO THE RCM: A COMPACT POLARIMETRIC FEATURE SELECTION ANALYSIS FOR MONITORING OF CANADIAN WETLANDS
Full Polarimetric (FP) Synthetic Aperture Radar (SAR) images have been demonstrated to be useful for several wetland applications, such as wetland classification and change detection. A SAR Compact Polarimetry (CP) sensor provides a wider swath compared to FP systems and a significant improvement in information compared to single or Dual Polarimetry (DP) sensors. In this paper, we compared the potential of DP, FP, and CP SAR data for wetland classification in a case study located in Newfoundland, Canada. The DP and CP data were simulated using full polarimetric RADARSAT-2 data. We compared the classification results for different input features using an object-based Random Forest classification. The results demonstrated the superiority of FP imagery relative to both DP and CP data. However, CP indicated significant improvements in classification accuracy compared to DP data.


Wednesday November 15, 2017 15:00 - 15:20
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

15:20

JSBSim open source Flight Dynamics Model for fixed-wing Unmanned Aerial Vehicle applications
Simulation packages provide a valuable framework or environment to study the interaction between aircrafts, including Unmanned Aerial Vehicles (UAVs), in the existent air traffic in near mid-air collision (NMAC) scenarios. The proposed simulation package is based on the open source JSBSim Flight Dynamics Model (FDM) and our developments represent the UAVs with the required precision to model those interactions. This tool has been validated and tested in UAV computer models and is currently being used in 4D encounters and avoidance maneuvers. The final objective of this paper is to provide a simplified model version of the current package, the including the minimum requirements for the design of a UAV in JSBSim, and guide any modeler through the UAV computer design task.


Wednesday November 15, 2017 15:20 - 15:40
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

15:20

Sizing of a Hybrid Mini-grid Power System for Bani Walid Libya
Abstract-According to energy data from General Electricity Company of Libya, electricity demand in Libya is growing about 9 per cent every year. Thus, increasing number of power generators are needed to meet the electricity demand and prevent power outage. In this paper, Available renewable energy sources in Baniwalid are studied to select a best renewable energy sources for a hybrid mini-grid power system. HOMER Software is used to perform details of financial and simulation analysis. The component of the system are Generators, PV system, and energy storage system. The Average load is 35.98MW in 2015 with peak load 85MW. Optimization results show large scale 76MW PV system. Hoppecke 26OPzS batteries for energy storage can provide a reliable power in that area. System design and location has been studied in details and results are presented in the paper. Key words: Renewable energy, PV systems, mini-grid power systems, electricity production in Libya, data collection and system sizing.


Wednesday November 15, 2017 15:20 - 15:40
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

15:20

Towards a Non-local Oriented-Laplacian Decomposition Model
The use of non-local means has recently become popular in the computer vision and image processing communities as a method of improving the performance of denoising, as well as other algorithms. Such non-local methods use the entire image instead of just a local neighborhood around each pixel to estimate statistics used in processing the image at a given pixel. Recently, the authors of this work introduced an oriented Laplacian decomposition model in lieu of the usual non-oriented Laplacian decomposition model of Osher, Sole and Vese. Higher quality denoising results were generally obtained with this recently-proposed decomposition model for oriented texture images. Here, a new non-local version of the authors' oriented Laplacian decomposition model is proposed. Experimental results show this new combination of non-local means and Oriented Laplacian decomposition can yield even higher quality denoising results than either non-local means or Oriented Laplacian decomposition separately.


Wednesday November 15, 2017 15:20 - 15:40
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

15:20

Tree Height Estimation Using Unmanned Aerial Vehicles Imagery
Unmanned Aerial Vehicle (UAV) images can be considered an alternative to traditional or more costly methods. In the field of forestry inventory, UAV can be used to measure different properties of forest such as Canopy Height Model and tree types. To estimate tree heights using UAV images, an accurate DSM and also DTM over the desired area are required. For this purpose, one of the most well-known computer vision-based methods is Structure from Motion (SfM). The algorithm uses Scale Invariant Feature Transform (SIFT) to extract and match point features. Then, these points are used as tie points to solve a bundle adjustment and generate a point cloud. The produced point cloud should be processed to generate a Digital Surface Model (DSM). By subtracting the DSM and a DTM, the resultant is an nDSM or tree heights. For this purpose, series of UAV images are acquired and the above mentioned procedure is done in detail and tested over the dataset.


Wednesday November 15, 2017 15:20 - 15:40
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

15:40

Computationally-Efficient Visual Inertial Odometry for Autonomous Vehicles
The objective of this research is to develop a computationally-efficient monocular Visual Inertial Navigation System applied for autonomous vehicles and wearable devices, which are subject to limited computational resources and electrical payloads. The traditional system executes a complicated recursive 3D feature-point reconstruction step to correct the prediction from IMU data and produce the reliable estimate of the vehicle's ego-motion. This, in turn, slows down the estimation process and decreases the system stability. Those issues will be addressed by using Trifocal Tensor Geometry to replace the expensive image-processing algorithm. An economic sensor fusion algorithm is proposed to decrease significantly the computational cost, and improve the system consistency. It is a combination between cubature Kalman filter, multi-state constraint Kalman filter, and information filter. Experimental validation is conducted to evaluate the proposed system.


Wednesday November 15, 2017 15:40 - 16:00
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

15:40

Optimum Control of a Grid Connected Battery Energy Storage
This paper demonstrates a linear programming based controlling strategy developed for a SCADA system to control a grid-connected inverter which is used to interface a battery energy storage with the grid. To control the inverter a predictive wind speed algorithm is proposed where parameters are being automatically set by the linear programming based optimization algorithm that can be embedded into the SCADA system utilized for the inverter. The algorithm intends to take pricing data from the utility and obtain wind speed data from the Accuweather to generate operating schedule for the battery bank to maximize the revenue. Real data obtained from the Wind Energy Institute Canada (WEIcan) are used to validate the controlling algorithm, and the results emphasize that the algorithm has produced the optimum operating schedule while maximizing the profit.


Wednesday November 15, 2017 15:40 - 16:00
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

15:40

Radon Transform-Based Wave Parameters Estimation From X-Band Marine Radar Images
An algorithm based on Radon transform (RT) is proposed to estimate wave parameters from X-band marine radar images. First, an initial guess of wave direction is determined from the first image of an image sequence. Then, sub-images located in the initial guess of wave direction from an image sequence are used to determine wave parameters, including wave direction, peak wave period, and mean wave period. The algorithm is tested using radar and buoy data collected in a sea trial in the vicinity of the east coast of Canada. Compared to the traditional Fourier-based technique, the wave parameter estimation results are shown to be improved by the proposed algorithm.


Wednesday November 15, 2017 15:40 - 16:00
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

15:40

Electromagnetic Modelling of Icebergs for Spaceborne Synthetic Aperture Radar
Use of machine learning to develop algorithms for distinguishing iceberg and vessel targets require abound of validated data sets that are often costly, time consuming and, in some cases, inaccessible. Generating electromagnetic (EM) backscatter models of iceberg and ship targets can be a vital step to develop robust iceberg/ship classifier. Here, development of an EM backscatter model of various icebergs has been presented and compared with ground truth data. GRECOSAR, a satellite EM backscatter modelling tool is used with the imaging scene consisting of iceberg targets surrounded by the ocean surface. The 3D CAD models of the icebergs were obtained in a field program off the coast of Salvage, Newfoundland and Labrador, Canada. While profiling the iceberg targets, a SAR image from Sentinel 1A was captured and compared with the simulated SAR images. Comparisons made in terms of total radar cross section (TRCS) and the morphology of the targets generally indicate a good agreement.


Wednesday November 15, 2017 15:40 - 16:00
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

16:00

Attitude and position estimation using inertial measurements with camera motion capture based aiding
A method is presented to estimate the attitude, position, and velocities of a body instrumented with an inertial measurement unit (IMU) within a camera-based motion capture field. The method uses an extended Kalman filter (EKF) to fuse the integrated angular rate information with the absolute measurements from the motion capture system to estimate sensor bias and improve the overall motion estimate. The advantages of this method versus either method individually are improved accuracy during visual marker dropout, smoother motion estimates, and real-time estimates of velocity.


Wednesday November 15, 2017 16:00 - 16:20
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

16:00

Cost and Power Estimation of Thermal Units Considering Wind Power and Load Uncertainties
Results of economic dispatch are highly depended on two factors; wind power generations and load consumption of power system. Consumed load and wind generation uncertainties in a power system including thermal and wind units affect cost and power generations of thermal units. because of the stochastic nature of load and wind generations, the optimal fuel cost of thermal units is also variable and depended on the wind generations and demand. Network load and wind generations conform a probabilistic distribution. Therefore, fuel cost and power generation of thermal units are uncertain. In this paper by considering stochastic behavior of network load and wind generations, the economic dispatch is conducted by genetic algorithm and the stochastic model of fuel cost and thermal units' power generation are obtained consequently. The obtained results are compared with results of cases in which network load and wind generations are assumed to be fixed.


Wednesday November 15, 2017 16:00 - 16:20
Salon C 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

16:00

Evaluative Study on Nonstationary and Nonlinear Dynamics in High Frequency Radar Data
High frequency (HF) radar field practitioners usually discard the phase content of acquired signals due to the assumption that it is random and uniformly distributed. Traditionally, the phase component is removed in the process of computing the spectrum via Fourier analysis. This statistically means that the HF radar data is linear and stationary. However, events occurring in nature are inherently nonlinear and nonstationary and exist in noisy environments. These uncertainties are not easily tractable because they break the assumptions upon which traditional signal processing tools are built. This research consequently investigates the validity of these assumptions by statistically analyzing HF surface wave radar (HF-SWR) field data. The results from this research show that the HF-SWR data is nonlinear, second-order improper or noncircular and nonstationary. This intimates that the phase is informative and it should be considered in order to achieve a robust analysis of HF radar data.


Wednesday November 15, 2017 16:00 - 16:20
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada

16:00

Real-time detection of stationary and moving marine radar targets
Scan-to-scan integration is a common marine radar signal processing technique used to improve detection of stationary targets. Scan-to-scan integration decreases system noise and sea clutter by averaging these random signals over time. Unfortunately, scan-to-scan integration is problematic for moving targets when the target moves one or more radar resolution cells during the integration time. Averaging decreases the intensity of the moving target by blurring it over multiple radar cells. In this paper we propose a real-time algorithm that detects stationary and moving targets from marine radar, simultaneously. Moving targets are detected using a background subtraction algorithm that is constructed from the existing scan-to-scan integration buffer of images. It is shown that this background subtraction algorithm enjoys computational and memory savings over other motion detection algorithms. Analysis on real-world marine radar data shows the performance of the algorithm.


Wednesday November 15, 2017 16:00 - 16:20
Conception Bay South 180 Portugal Cove Road, St. John's, NL, Canada

16:20

Closing Remarks and Award Presentations
Closing Remarks and Award Presentations

Wednesday November 15, 2017 16:20 - 16:40
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada