Search results for "Dolo"

Optical security and encryption with totally incoherent light

2001

We present a method for securing and encrypting information optically by use of totally incoherent illumination. Encryption is performed with a multichannel optical processor working under natural (both temporal and spatially incoherent) light. In this way, the information that is to be secured can be codified by use of color signals and self-luminous displays. The encryption key is a phase-only mask, providing high security from counterfeiting. Output encrypted information is recorded as an intensity image that can be easily stored and transmitted optically or electrically. Decryption or authentication can also be performed optically or digitally. Experimental results are presented.

Sequential Lip Region Segmentation Using Fuzzy Clustering with Spatial and Temporal Information

2012

For many visual speech recognition and visual speaker authentication systems, lip region extraction is of vital important. In order to segment the lip region accurately and robustly from a lip sequence, a new fuzzy-clustering based algorithm is proposed. In the proposed method, a new dissimilarity measure is introduced to take all the color, spatial and temporal information into consideration. An iterative optimization method is employed to derive the optimal lip region membership map and the final segmentation result. From the experimental results, it is observed that the proposed algorithm can provide superior results compared with other traditional methods.

Automation of Optimized Gabor Filter Parameter Selection for Road Cracks Detection

2016

International audience; Automated systems for road crack detection are extremely important in road maintenance for vehicle safety and traveler's comfort. Emerging cracks in roads need to be detected and accordingly repaired as early as possible to avoid further damage thus reducing rehabilitation cost. In this paper, a robust method for Gabor filter parameters optimization for automatic road crack detection is discussed. Gabor filter has been used in previous literature for similar applications. However, there is a need for automatic selection of optimized Gabor filter parameters due to variation in texture of roads and cracks. The problem of change of background, which in fact is road text…

LogDet divergence-based metric learning with triplet constraints and its applications.

2014

How to select and weigh features has always been a difficult problem in many image processing and pattern recognition applications. A data-dependent distance measure can address this problem to a certain extent, and therefore an accurate and efficient metric learning becomes necessary. In this paper, we propose a LogDet divergence-based metric learning with triplet constraints (LDMLT) approach, which can learn Mahalanobis distance metric accurately and efficiently. First of all, we demonstrate the good properties of triplet constraints and apply it in LogDet divergence-based metric learning model. Then, to deal with high-dimensional data, we apply a compressed representation method to learn…

Automatic subgenre classification of heavy metal music

2011

Automatic genre classification of music has been of interest for researchers over a decade. Many success-ful methods and machine learning algorithms have been developed achieving reasonably good results. This thesis explores automatic sub-genre classification problem of one of the most popular meta-genres, heavy metal. To the best of my knowledge this is the first attempt to study the issue. Besides attempting automatic classification, the thesis investigates sub-genre taxonomy of heavy metal music, highlighting the historical origins and the most prominent musical features of its sub-genres. For classification, an algorithm proposed in (Barbedo & Lopes, 2007) was modified and implemented i…

Prey-predator strategies in a multiagent system

2006

This paper describes the prey-predator multiagent system which can be considered as an abstraction of more complex real-world models. Both the prey and the predators are considered as autonomous agents with their own behaviors and perception of the environment. In particular, we propose a simulator which lets study different strategies such as cooperation and individualism. An extensive experiment has been carried out in order to prove the effectiveness of the latter.

Leilighetskompleks i små lokalsamfunn- virkninger i eiendomsmarkedet : en analyse basert på data fra Egersund

2009

Masteroppgave i økonomi og administrasjon - Universitetet i Agder 2009 Hensikten med oppgaven er å undersøke boligmarkedet i Egersund, og virkningene av bygging av større leilighetskomplekser. Bygging av leiligheter har økt de siste årene, og utgjør i dag 21,9 % av det totale boligmarkedet. Spesielt i større byer har det vært mye bygging av leiligheter. Denne trenden finnes nå også i mindre byer. På bakgrunn av teori har jeg utledet en prisfunksjon. Denne gir prisen som en funksjon av de ulike egenskapene til boligene. Funksjonen dannes på bakgrunn av etterspørrernes etterspørselsfunksjoner og tilbydernes tilbudsfunksjoner. En prisfunksjon kan anta ulike former. Jeg har valgt å se nærmere p…

Predicting women purchase intention for green food products in Indonesia

2009

Masteroppgave i økonomi og administrasjon - Universitetet i Agder 2009 This study investigated the applicability of the Theory of Planned Behavior in predicting women consumers on their intention towards purchasing green food products among 406 participants. Using linear regression, five independent variables had been examined: attitude towards green food products, subjective norms, perceived behavioral control, and perceived difficulty in predicting purchase intention. The results reveal further evidence of consistency between Attitude, Subjective Norm, Perceived Behavioral Control and Perceived Difficulty as presented in Theory of Planned Behavior. Despite the supporting evidence for the …

Modellizzazione energetico – ambientale per la valutazione di criteri di efficienza energetica

2010

High temperature solid-catalized transesterification for biodiesel production

2010

Biodiesel has become more attractive recently because of its environmental benefits and the fact that it is made from renewable resources. Biodiesel is a mixture of monoalkyl esters of long chain fatty acids derived from renewable feed stock like vegetable oils and animal fats, mainly made of fatty acid glycerides. It is produced by transesterification processes in which oil or fat are reacted with a monohydric alcohol in the presence of a catalyst. The transesterification process is affected by reaction conditions, alcohol to oil molar ratio, type of alcohol, type and amount of catalysts, temperature and purity of reactants. Heterogeneous acid catalysts are quite efficient in promoting the…