2018 Seminars

For time and location, please see at the individual seminar.

  • 22 February 2018 (12pm, Thursday, WT515C) Ling Ding (Wuhan University, China) Topic on “Traffic-related sign reading from a moving vehicle.”
  • 15 February 2018 (12pm, Thursday, WT515C) Martin Knoche (N3T, NZ) Topic on ” Computer vision testing for driver assisted / autonomous trucks.”
  • 08 February 2018 (12pm, Thursday, WT515C) Amita Dhiman (EEE, AUT) Topic on “Identifying and analyzing road surface distress detection.”
  • 31 January 2018 (12pm, Wednesday, WT121) Tiejun Huang (CS, PKU China) Topic on “Visual information processing – from video to retina.”
    Visual perception is a corner stone for human and machine intelligence; however, conventional frame-by-frame videos employed in computer vision system are totally different with spike train on the visual fibers from biological retina to brain. This talk will give the background and challenges for visual big data processing; then, our work in simulation of neural circuits related to primate retina will be introduced; a new sensor chip is designed based on spiking representation which is potentiality used for machine vision including autonomous driving, robot perception, etc.
  • 25 January 2018 (12pm, Thursday, WT515C) Solmaz Mansouri (EEE, AUT) Topic on “A novel approach for cuff‐less and continuous blood pressure monitoring.”
    The purpose of this study is to develop a novel method to improve the accuracy of cuff‐less and continuous blood pressure (BP) measurement. High BP or hypertension is the world’s biggest killer and a common risk factor for most cardiovascular diseases. Developing a continuous BP monitoring technique is essential for clinicians to improve the rate of prevention, detection, and ideal treatment for hypertension and related diseases. Catheterization, oscillometry, auscultation, volume clamping and tonometry are the main methods available for BP measurement. Nevertheless, they are not suitable for cuff‐less and continuous BP monitoring.Pulse Transit Time (PTT) method is a promising technique that was employed for the purpose of this study. The PTT is defined as the time that pulse wave takes to travel through the length of the cardiovascular system. It can be calculated as the time interval between proximal and distal waveform. In spite of many PTT‐based methods being proposed recently, none of them are clinically adopted and there is room for more research to improve the accuracy and acceptability of such methods.One of the issues associated with the PTT‐based methods is the need for calibration of BP measurement. Although different adaptive algorithms have been proposed to solve the calibration problem, a simple and accurate calibration technique has not yet been suggested. In addition to improving the accuracy of PTT‐based methods for clinical use, this study aims to propose a method to calibrate BP or find a way to estimate BP without calibration.In this presentation, after reviewing the most widely used cuff‐less continuous BP measurement methods, limitations and challenges, I will discuss my plans and directions for this study.
  • 18 January 2018 (12pm, Thursday, WT515C) Subhash Chand (EEE, AUT) Topic on “Analysis of coastline change along the north east coast of viti levu using multi-temporal & multi-scale remote sensed imagery & GIS.”
    This research conducted on a 25km coastline focuses on semi and fully automatic change detection techniques. The study categorizes the movement of coastline along the North east coast of Viti Levu in Fiji. Coastline categorized as eroding and prograding by using two different techniques and data as aerial photographs and satellite imagery. The first technique deployed was a pixel based change detection algorithm using multi-temporal and multi-scale, geometrically corrected remotely sensed imagery. Changes observed for coastline change were for 23 years (1991-2014). The results of this change revealed areas of erosion and accretion for the entire study area. The second technique is a simple mathematical model, End Point Rate (EPR) and Net Shoreline Movement (NSM), used to calculate the rate of change for this coastline for the period of 31 years (1983-2014). Achieved by using geometrically corrected and orthorectified high-resolution aerial photographs, and satellite imagery. Although two different techniques used for this research, the results are consistent. The high-tech orthorectified images used in this research assisted in reducing errors and made features easily identifiable for extraction of vector coastlines. To confirm the changes from desktop application, a ground truthing exercise of this coastline was conducted, to compare the actual occurrence on the ground. The changes on the ground concurred 95% to the changes from the desktop application. Comparing multi-scale and multi-temporal classified remotely sensed imagery showed areas built with jetties that were visible on the change map as prograding coastline. The average rate of erosion in the area is -0.35m/yr. and is prograding at an average rate of +0.41m/yr. Areas lined with large strips of mangrove, the rate of accretion is higher than the rate of erosion. These figures could be maintained if developments are conducted sustainably, removing and clearing only desirable portions for developments and committing the developers to maintain the health of the coastal environment.Changes in this area were trivial, according to statistical results, but if long-term changes are considered, situation may worsen if the intensity of hurricanes increase. Most of the changes in this area were due to developments and settlement of people. Fortification of eroding coastline using hard engineering solution (gabion baskets and sea wall) is not viable. Whereas a more empirical and long term solution is by lining the coastline with vegetation (mangroves) which is self-maintaining and provide long term coastline protection. This was a trend noticed along the Volivoli resort, coastline mangroves trees were maintained and provide protection to the coastline from erosion and they beautify their landscape. Therefore, for long-term coastal durability relies on maintaining the vegetation along a coastline is very deductive.Finally, this research was successfully able to integrate the use of Geographical Information System and analyze remotely sensed data to locate areas of coastal erosion and accretion and quantify the rate of coastline change.