Hashemi H.,UniversitiTeknologi |
Shaharoun A.M.,UniversitiTeknologi |
Izman S.,UniversitiTeknologi |
Ganji B.,UniversitiTeknologi |
And 2 more authors.
International Journal of Engineering, Transactions B: Applications | Year: 2014
Fixture design is a crucial part of manufacturing process. Fixture design is a critical design activity in which automation plays an integral role in linking computer-aided design (CAD) and computer-aided manufacturing (CAM). This paper presents a literature review in computer aided fixture design (CAFD) in terms of automation and optimization techniques over the past decades. First, the reason behind necessity of automated fixture design is stated. According to the degree of automation, fixture design methods are then categorized based on significant works done in the CAFD field. Regarding the need of automated fixture design systems, optimization techniques, which are mostly used for automated CAFD methods, are closely considered. The significant optimization techniques are then studied in case of applications and working principles. At the end, the current weaknesses of the existing methods and the research fields, which require deeper studies as future trends are presented as well.
Karimi H.,Malaysia Japan International Institute of Technology |
Rahmani R.,Swinburne University of Technology |
Ahmadi M.T.,Urmia University |
Science of Advanced Materials | Year: 2016
Due to its unique properties, including high conductivity, large surface area and significant mechanical strength, graphene has attracted a great deal of attention among researchers in physics, biology, nanoelectronics and nanotechnology fields, especially over the past few years. A fundamental understanding of the DNA-hybridization detection mechanism and technical prediction and optimization of many graphene-based DNA sensors requires extensive modeling and simulation of devices. Although there have been numerous experimental studies in this field, the lack of analytical models is felt deeply. In this work, to start with modelling, a liquid field effect transistor-based structure is employed as a platform, and graphene charge density variation based on the Poisson-Boltzman equations are studied under the impact induced by the adsorption of different values of DNA concentration on its surface. The effect of DNA molecules concentration and surface charge density of ssDNA and dsDNA before and after hybridization are considered in the calculation of the analytical model. The obtained current-voltage characteristics of the proposed model are compared with available experimental data existing, and a good agreement is found. For all the concentrations considered in this work, the proposed model can track experimental curves documented by other authors, with acceptable accuracy. © 2016 by American Scientific Publishers.
Memon J.,UniversitiTeknologi |
Abd Rozan M.Z.,UniversitiTeknologi |
Uddin M.,Asia University |
Abubakar A.,International Islamic University Malaysia |
And 2 more authors.
International Review on Computers and Software | Year: 2014
Cryptography refers to protecting transmitted information from unauthorized interception or tampering, while cryptanalysis is art of breaking such secret ciphers and reading information, or perhaps replacing it with different information. The research highlights a new encryption technique called randomized text encryption. The algorithm proposed increases the complexity of cryptanalyst to decrypt the ciphertext and restricts them to break the security of encoded file. The proposed technique uses random numbers added to plaintext along with encryption key. After applying encryption technique, each time same plaintext will be converted to different ciphertext provided that encryption key is same or different. Two different characters are generated against single character of plaintext that doubles the size of encrypted text. Decryption process doesn't require random numbers but only needs encryption key to decipher the encrypted text. Consequently, the proposed technique is safe to different cryptanalytic attacks like Frequency analysis, Brute-Force, Linear and Differential Cryptanalysis. © 2014 Praise Worthy Prize S.r.l. - All rights reserved.
Marghany M.,UniversitiTeknologi |
Tahar M.R.B.,UniversitiTeknologi |
Scientific Research and Essays | Year: 2011
In this study, the Sum Square of Difference (SSD) matching algorithm is introduced to solve the matching ambiguousness between pixels using Quick bird images. This method is tested with three different types of template sizes of 3 × 3, 5 × 5 and 7 × 7 to acquire the best correlation of patches to be correlated. The matching is implemented with two different locations in the Quick bird images. The result shows that template size of 7 × 7 is most appropriate for matching with integrating of sum square of difference (SSD) matching algorithm. The correlation for first matching using template 7 × 7 is 0.8170 and for second matching is 0.8320. The RMSE for first matching is 8.51 and second matching is 8.332. First matching procedure shows lower value of matching pixels percentage value of 72% compared to second matching procedure with a percentage value of 76% pixels. It can be concluded that sum square of difference (SSD) is an appropriate method to solve the matching ambiguousness in high-resolution image such as Quick bird satellite data. It can be said that SSD matching algorithm can be used to acquire more accurate results for matching procedure. © 2011 Academic Journals.