Modeling, Simulation and Optimization
A Derivative-Free Algorithm for Solving Quasi-Linear Systems
Nikica Hlupić, Ivo Beroš, Danko Basch
Abstract
A novel derivative-free algorithm for solving quasi-linear systems is presented. It resembles “classical” optimization approach but greatly simplifies computation, resulting in fast execution and numerical stability. Though the global convergence cannot be guaranteed, it turns out that the presented algorithm finds a solution as successfully as other commonly accepted methods. The algorithm is clearly developed and mathematically founded, and its properties are examined by comparisons with other methods.
Keywords
algorithm, optimization, quasi-linear systems
Full text is available at IEEE Xplore digital library.
Click Prediction in Mobile Display Advertising Based on HTML5 Features
Rodoljub Petrović, Lorand Dali, Dunja Mladenić
Abstract
The paper describes an approach to click prediction in mobile display advertising based primarily on ad features. The increasing number of mobile display ads is based on HTML5 web standard. The openness of this standard makes it easier to extract some additional ad features, such as animation, video, sound and other components. We suggest using these features in conjunction with global image features, user features and publisher features to improve click prediction. We have applied a click prediction algorithm on real world data, collected during mobile advertising campaigns, which included more than 1000 ads. We present the results of our experiments and suggest further work in dynamic optimization of mobile ads, based on the findings.
Keywords
click prediction, mobile display advertising, HTML5, image features
Full text is available at IEEE Xplore digital library.
Social Network Analysis and Software Evolution: A Perspective Method for Software Architecture Analysis
Neven Vrček, Ivan Švogor, Petra Vondra
Abstract
Present day software is largely composed of smaller manageable units which work together to overcome a larger problem. Considering software system as a network of connected software elements, e.g. service oriented architecture, it would be eligible to methods for analyzing networks, e.g. social network analysis. This paper presents a theoretical foundation for applying social network analysis on service oriented architecture and deriving technique for analysis of a software system focusing on the evolution, architectural decisions and non-functional properties (maintainability, dependability, availability).
Keywords
social network analysis, sna, web services, service oriented architecture, soa, architecture analysis, architecture evolution
Full text is available at IEEE Xplore digital library.
ECG Based System for Arrhythmia Detection and Patient Identification
Branislav Vuksanovic, Mustafa Alhamdi
Abstract
In this paper a system to detect arrhythmia by automatically classifying normal and two types of abnormal ECG signals is presented. ECG signals are first pre-processed to reduce the baseline drift, noise and other unwanted components that might be present in the signal. The autoregressive modelling of the signals is then applied to extract small set of signal features – coefficients of autoregressive (AR) signal model. Groups of extracted AR parameters for three different ECG types are well separated in feature space which provides for perfect signal classification and heart condition detection for every ECG signal from the test set.
In order to assess the accuracy of developed technique for individual patient identification, feature sets are extended with additional parameter – power of AR modelling error. A new ECG based biometric system is proposed and initial patient recognition results presented in the conclusion of the paper.
Keywords
ECG, signal processing, autoregressive signal model, arrhythmia detection and classification
Full text is available at IEEE Xplore digital library.