Estimation of LPC coefficients using Evolutionary Algorithms

The vast use of Linear Prediction Coefficients (LPC) in speech processing systems has intensified the importance of their accurate computation. This paper is concerned with computing LPC coefficients using evolutionary algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Dif-ferential Evolution (DE) and Particle Swarm Optimization with Differentially perturbed Velocity (PSO-DV). In this method, evolutionary algorithms try to find the LPC coefficients which can predict the origi-nal signal with minimum prediction error. To this end, the fitness function is defined as the maximum prediction error in all evolutionary algorithms. The coefficients computed by these algorithms compared to coefficients obtained by traditional autocorrelation method in term of prediction accuracy. Our results showed that coefficients obtained by evolutionary algorithms predict the original signal with less prediction error than autocorrelation methods. The maximum prediction error achieved by autocorrelation method, GA, PSO, DE and PSO-DV are 0.35, 0.06, 0.02, 0.07 and 0.001, respectively. This shows that the hybrid algorithm, PSO-DV, is superior to other algorithms in computing linear prediction coefficients

Advances and Applications of Dezert-Smarandache Theory (DSmT) for Information Fusion (Collected Works), Vol. 4

The fourth volume on Advances and Applications of Dezert-Smarandache Theory (DSmT) for information fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics. The contributions (see List of Articles published in this book, at the end of the volume) have been published or presented after disseminating the third volume (2009, http://fs.unm.edu/DSmT-book3.pdf) in international conferences, seminars, workshops and journals. First Part of this book presents the theoretical advancement of DSmT, dealing with Belief functions, conditioning and deconditioning, Analytic Hierarchy Process, Decision Making, Multi-Criteria, evidence theory, combination rule, evidence distance, conflicting belief, sources of evidences with different importance and reliabilities, importance of sources, pignistic probability transformation, Qualitative reasoning under uncertainty, Imprecise belief structures, 2-Tuple linguistic label, Electre Tri Method, hierarchical proportional redistribution, basic belief assignment, subjective probability measure, Smarandache codification, neutrosophic logic, Evidence theory, outranking methods, Dempster-Shafer Theory, Bayes fusion rule, frequentist probability, mean square error, controlling factor, optimal assignment solution, data association, Transferable Belief Model, and others. More applications of DSmT have emerged in the past years since the apparition of the third book of DSmT 2009. Subsequently, the second part of this volume is about applications of DSmT in correlation with Electronic Support Measures, belief function, sensor networks, Ground Moving Target and Multiple target tracking, Vehicle-Born Improvised Explosive Device, Belief Interacting Multiple Model filter, seismic and acoustic sensor, Support Vector Machines, Alarm classification, ability of human visual system, Uncertainty Representation and Reasoning Evaluation Framework, Threat Assessment, Handwritten Signature Verification, Automatic Aircraft Recognition, Dynamic Data-Driven Application System, adjustment of secure communication trust analysis, and so on. Finally, the third part presents a List of References related with DSmT published or presented along the years since its inception in 2004, chronologically ordered

Zaštita vlasništva reproducirane slike umetanjem digitalnog vodenog žiga

U ovom doktorskom radu je razvijena metoda zaštite vlasništva slike umetanjem digitalnog vodenog žiga. S obzirom da je pristup zaštite otisnutih slika digitalnim vodenim žigom nedovoljno istražen, postojala je potreba da se razvije metoda zaštite prilagođena zahtjevima grafičke reprodukcije, prvenstveno neznatnom utjecaju na kvalitetu originalne slike prilikom označavanja, i snažnoj otpornosti na proces reprodukcije i naknadne digitalizacije. Razvijena metoda zaštite vlasništva otisnutih proizvoda temeljena na digitalnom vodenom žigu predstavlja odmak od dosadašnjeg pristupa problemu zaštite. Naime, zaštita grafičkih proizvoda uglavnom se temeljila na primjeni posebnih tehnika i/ili materijala prilikom otiskivanja. Suprotno tome, korištenje digitalnog vodenog žiga ne zahtjeva posebne tehnike tiska ili posebne materijale već se metoda zaštite temelji se na manipulaciji slike u njenom digitalnom obliku, prije digitalno-analogne konverzije. U radu su definirani parametri vodenog žiga koji utječu na kvalitetu označene slike i provedeno je ispitivanje otpornosti vodenog žiga na najčešće oblike procesiranja koji se mogu pojaviti u reprodukcijskom procesu. Ispitivanje je provedeno na bazi od 1000 različitih slika. Rezultati su pokazali da je metoda prilagođena potrebama grafičke reprodukcije jer se označavanjem ne narušava kvaliteta slike, a umetnuti vodeni žig je, osim na proces grafičke reprodukcije, otporan i na cijeli niz drugih oblika procesiranja kao što su kompresija, izrezivanje, filtriranje, šum, rotacija i skaliranje