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Shape features are widely used in image target recognition due to their useful property of translation, rotation and scaling invariance. In this paper, low order Hu moments and other four shape features are combined together to classify different kinds of knives and guns with the support vector machine in the application of millimeter wave security imaging. Experimental results show that the combined...
Behaviour-Driven Development (BDD) is an "outside-in" approach to software development built upon semi-formal mediums for specifying the behaviour of a system as it would be observed externally. Through the representation of a system as a collection of user stories and scenarios using BDD's notation, practitioners automate acceptance tests using examples of desired behaviour for the envisioned...
Classically encoding a group of symbols to be transmitted over a communication channel through baseband modulation can be done in various ways-namely Pulse Amplitude Modulation (PAM), Pulse Width Modulation (PWM), Pulse position modulation (PPM) etc. What we will be proposing in this paper is another encoding technique- mapping a symbol to a wave shape and transmitting that along a baseband channel...
We present an EM algorithm for Maximum Likelihood estimation of the location, scale, and skew, and shape parameters of the z distribution, also known as the generalized logistic function (type IV). We use the Barndorff-Nielsen, Kent, and Sørensen representation of the z distribution as a Gaussian location-scale mixture to derive an EM algorithm for estimating the location, scale, skew, and shape parameters...
We present an EM algorithm for Maximum Likelihood (ML) estimation of the location, structure matrix, skew or drift, and shape parameters of Barndorff-Nielsen's Generalized Hyperbolic distribution, which is the Gaussian Location Scale mixture (or Normal Variance Mean Mixture) with Generalized Inverse Gaussian (GIG) scale mixing distribution. We use the GLSM representation along with the closed form...
The increasing diffusion of chronic diseases represents a challenge for the health systems that have to deal with rising costs caused by the large number of patients. The ICT-enabled telemedicine systems represent a promising solution to provide effective treatments, to reduce hospitalizations and related costs and to improve the patients' quality of life. These systems allow to monitor the clinical...
Image segmentation refers to partitioning of image into multiple regions (segments) eventually leading to meaningful representation of image through which information can be extracted. Magnetic Resonance Imaging (MRI) is a non-invasive method which provides the detailed view of internal structure of tissues in the body at very high resolution. This paper focuses on extraction of brain tumor and its...
The advancement of Si and flip chip package technologies are driven by high performance mobile processors with high I/O counts. In Si, the back-end-of-line (BEOL) copper interconnect with extreme low-K (ELK) dielectrics has been used to lower RC latency. While for packages, fine-pitch Cu bump is introduced to meet the high I/O density. Corresponding assembly solutions such as thermal compression bonding...
The more digital image production increase, the more effectiveness and productivity of image recognition mechanism and comparison techniques become important. In this study, comparative experiments are made for distribution distance measurement function that is explained in the scope by using skeleton presentation which is obtained from 2D and 3D images of objects. Separate experiments are made in...
In this paper, we propose a new approach to fuzzy data clustering. We present a new algorithm, called TEDA-Cloud, based on the recently introduced TEDA approach to outlier detection. TEDA-Cloud is a statistical method based on the concepts of typicality and eccentricity able to group similar data observations. Instead of the traditional concept of clusters, the data is grouped in the form of granular...
Current backbone networks are designed to protect a certain pre-defined list of failures, called Shared Risk Link Groups (SRLG). A common assumption is to ignore the failures not part of an SRLG as they assume to be extremely rare events; therefore, the list of SRLGs must be defined very carefully. The list of SRLGs is typically composed of every single link or node failure. It has been observed that...
This abstract presents the synthesis of a conformal timed array for optimum energy patterns during beam-scanning. The study presents a performance evaluation and a design example of the conformal timed array in a half cylinder shape with optimum true-time delays. The particle swarm optimization is used as the synthesis technique. Important remarks are given for designing a conformal timed array.
This paper describes approach to detect object using its shape and color information which is capable of detecting object rapidly and comparatively with good detection rate. This work divided into two part. First how to use color information to segment the object and secondly how to compare the contour of extracted object with contour of object to be the detected. Proposed method uses Fourier descriptor...
Design of a novel block-backstepping based nonlinear stabilizing control law of a pendubot is presented in this paper. It is a 2-DOF underactuated with unactuated shape variable and second order nonholonomic constraint. At the onset of the design, state model of the pendubot has been transformed into the block-strict feedback form. Thereafter, a systematic approach has been utilized to devise a backstepping...
This paper describes the use of two dimensional (2-D) laser scanner for locating badminton shuttlecock in real playing environment. It proposes a method to predict the end point of shuttlecock trajectory. The system is designed using two 2-D laser scanners to locate shuttlecock in midst of air in its trajectory. It helps to calculate shuttlecock's speed, orientation and hence, to predict an end point...
We propose a Riemannian quasi-Newton method to compute a geodesic invariant to scaling, translation, rotation and reparameterization and show that it is more efficient than the current state-of-the-art coordinate-descent/path-straightening approach.
Hybrid Excitation Flux Switching Machine (HEFSM) is a machine that achieves high performances, where it can compete with the Interior Permanent Magnet Synchronous Machine (IPMSM) which being implemented widely in HEV nowadays. The machine also when compared to Field Excitation Flux Switching Machine (FEFSM) and Permanent Magnet Flux Switching Machine (PMFSM), generate much higher performance mainly...
Automatic batch manufacture is one of the most promising future direction in the field of computational robotics with the smart assembly system. In this paper design of improved vision sensing manipulator to recognize desired components in unstructured assembly system is presented. The proposed sensor based intelligent robotic manipulator can be used to solve high-dimensional problems manipulate and...
As an initial step in protecting different plant species from extinction, establishment of database for plant becomes necessary in order to catalogue various plant diversities. Therefore, automatic and accurate recognition and classification system of plants is important. Thus, the research aims to study plant classification using naïve Bayes (NB) method. Leaf shape and texture serves as input features...
This paper considers a formation control problem for a team of agents that are only able to sense the relative bearings from their local body frame to neighboring agents. It is further assumed that the sensing graph is inherently directed and a common reference frame is not known to all of the agents. Each agent is tasked with maintaining predetermined bearings with their neighbors. Using the recently...
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