2 resultados para soft drink bottles

em Dalarna University College Electronic Archive


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The project Design analysis and proposals of plastic screw caps in Australia was performed at Högskolan Dalarna incooperation with University of Western Sydney, Australia. The Swedish company Tetra Pak, in Lund, were assigner forthe project that was performed 2006-2007. The commission was to do a survey about the packages for non-carbonateddrinks in Australia. The bottles had to be plastic, able to open in one step and with focus on the caps.The project has result in design analysis and a new proposal of a plastic screw cap for the Australian market. Sixbottles were choosen and they were all testet on 20 consumers each with a Likert-scale test. The result from the test andthe survey underlied the work with a proposal of a new design. The most important qualities for a optimal opening is:a tamper that is easy to break and also guarantee that is not been opened before, wide and soft grip, ergonomics, easyto close and that is good looking.

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The ever increasing spurt in digital crimes such as image manipulation, image tampering, signature forgery, image forgery, illegal transaction, etc. have hard pressed the demand to combat these forms of criminal activities. In this direction, biometrics - the computer-based validation of a persons' identity is becoming more and more essential particularly for high security systems. The essence of biometrics is the measurement of person’s physiological or behavioral characteristics, it enables authentication of a person’s identity. Biometric-based authentication is also becoming increasingly important in computer-based applications because the amount of sensitive data stored in such systems is growing. The new demands of biometric systems are robustness, high recognition rates, capability to handle imprecision, uncertainties of non-statistical kind and magnanimous flexibility. It is exactly here that, the role of soft computing techniques comes to play. The main aim of this write-up is to present a pragmatic view on applications of soft computing techniques in biometrics and to analyze its impact. It is found that soft computing has already made inroads in terms of individual methods or in combination. Applications of varieties of neural networks top the list followed by fuzzy logic and evolutionary algorithms. In a nutshell, the soft computing paradigms are used for biometric tasks such as feature extraction, dimensionality reduction, pattern identification, pattern mapping and the like.