An algorithm for tracking multiple targets in a cluttered enviroment is developed. The capable of initiating tracks, accounting false or missing reports, and processing sets dependent reports. As each measurement received, probabilities are calculated the hypotheses that came from previously known target file, new target, false. Target states estimated such data-association hypothesis using Kalman filter. more measurements joint recursively all available information as density unknown...

In this paper, we discuss the development of cost effective, wireless and wearable vibrotactile haptic device for stiffness perception during an interaction with virtual objects. Our experimental setup consists five actuators, reality environment tailored in Unity 3D integrating Oculus Rift Head Mounted Display(HMD) Leap Motion controller.The is able to capture touch inputs from users. Interaction forces are then rendered at 500Hz fed back stimulating fingertips ERM actuators. Amplitude...

Abstract Infections with Mycobacterium tuberculosis ( Mtb ) cause (TB), which requires at least six months of treatment multiple antibiotics. There is emergent interest in using β-lactam antibiotics to improve outcomes for patients. These drugs target cell wall biosynthesis, but a comprehensive list enzymes inhibited by β-lactams lacking. In the current study, we sought identify and characterize physiological conditions representative both acute chronic TB disease. We used new activity-based...

We have studied the detailed threshold voltage distribution in a state-of-the-art n-channel MOSFET presence of random discrete dopants. A ground-breaking sample 100 000 transistors with statistically unique dopant distributions were simulated using Glasgow 3-D device simulator and advanced grid computing technologies. The results indicate that deviates substantially from Gaussian distribution, which may significant implications for margins used circuit design, particularly SRAM cells.

In this paper a novel application of particular type spiking neural network, Polychronous Spiking Network, was used for financial time series prediction. It is argued that the inherent temporal capabilities network are suited to non-stationary data such as this. The performance benchmarked against three systems: two "traditional", rate-encoded, networks; Multi-Layer Perceptron and Dynamic Ridge Polynomial standard Linear Predictor Coefficients model. For comparison noisy were used: IBM stock...

The acoustic signal from an overflying aircraft, as heard by a stationary observer, is used to estimate aircraft’s constant height, ground speed, range, and frequency. Central the success of this flight parameter estimation scheme need for accurate instantaneous frequency observed signal. In paper, polynomial Wigner–Ville distribution in application estimator. Its performance issue optimal time domain window length are addressed.

This article reviews the development of minimum-variance smoother and describes its use in longwall automation. We describe both continuous- discrete-time solutions. It is shown, under suitable assumptions, that two-norm estimation error less than for Kalman filter. A simulation study presented to compare performance with methods H.E. Rauch et al. (1965), D.C. Fraser J.E. Potter (1969).

This correspondence investigates the convergence of a Kalman filter-based expectation-maximization (EM) algorithm for estimating variances. It is shown that if variance estimates and error covariances are initialized appropriately, underlying Riccati equation solution sequence iterations will be monotonically nonincreasing. Further, process noise converge to actual values when measurement becomes negligibly small. Conversely, negligible, asymptotically approach true values. An inertial...

The underground mining industry is constantly driven by the need to improve productivity, increase personnel safety, and secure environmental sustainability. Mining automation technology has shown significant potential meet these needs providing more accurate methods, incorporating sensing optimally control equipment increasing safety through remote process operation. This paper details research being undertaken CSIRO Earth Science Resource Engineering (CESRE) Technology group advance...

This paper presents some recent applications of sensing, guidance and telerobotic technology in the coal mining industry. Of special interest is development semi or fully autonomous systems to provide remote communications for equipment. We consider use radar inertial based sensors an attempt solve horizontal lateral problems associated with equipment automation. also describe a novel teleoperated robot vehicle unique capabilities, called Numbat, which used underground mine safety...

In this paper a novel application of particular type spiking neural network, Polychronous Spiking Network, for financial time series prediction is introduced with the aim exploiting inherent temporal capabilities model. The performance network was benchmarked against two "traditional", rate-encoded, networks; Multi-Layer Perceptron and Functional Link Neural Network. Three nonstationary noisy are used to test these simulations: IBM stock data; US/Euro exchange rate data, price Brent crude...

The minimum-variance smoother solution for input estimation is described and it shown that the resulting estimates are unbiased. smoothed state used to iteratively identify unknown process noise variances. use of estimates, as opposed filtered leads improved approximate Cramér-Rao lower bounds parameters. It also sequence iterates monotonic asymptotically approach actual values under prescribed conditions. A nonlinear mining navigation application in which parameters estimated.

In this paper, a low cost, wearable six Degree of Freedom (6-DOF) hand pose tracking system is proposed for Virtual Reality applications. It designed use with an integrated exoskeleton kinesthetic haptic feedback. The consists Infrared (IR) based optical tracker cost mono-camera and inertial magnetic measurement unit. Image processing done on LabVIEW software to extract the 3-DOF position from two IR targets Magdwick filter has been implemented Mbed LPC1768 board obtain orientation data. Six...

This study describes the creation of a new type compact skin-like silicone-based thermosensitive visuotactile sensor based on GelSight technology. The easy integration this novel into complex system capable very rapid detection temperature change (30°C/s) is unique in providing that parallels withdrawal reflex human autonomic to extreme heat. To best authors' awareness, first time can trigger sensory impulse like humans robotics community. attain this, we used thermochromic pigments color...

The scaling of MOSFETs has improved performance and lowered the cost per function CMOS integrated circuits systems over last 40 years, but devices are subject to increasing amounts statistical variability within deca-nano domain. causes these variations their effects on device have been extensively studied, there few systematic studies impact circuit performance. This paper describes a method for modelling random intra-die digital timing power consumption. allows variation modelled by...

In this paper, a composite fuzzy association rule mining mechanism (CFARM), directed at identifying patterns in datasets comprised of attributes, is described. Composite attributes are defined as that can take simultaneously two or more values subscribe to common schema. The objective generate rules using “properties” associated with these attributes. exemplar application the analysis nutrients contained items found grocery data sets. paper commences review back ground and related work,...

During open surgery, a surgeon relies not only on the detailed view of organ being operated upon and able to feel fine details this but also heavily combination these two senses. In laparoscopic haptic feedback provides surgeons information interaction forces between instrument tissue. There have been many studies mimic in laparoscopic-related telerobotics date. However, cutaneous is mostly restricted or limited feedback-based minimally invasive studies. We argue that fine-grained needed...