Implementation and performance evaluation of two fuzzy-based systems for selection of IoT devices in opportunistic networks

2018 ◽  
Vol 10 (2) ◽  
pp. 519-529 ◽  
Author(s):  
Miralda Cuka ◽  
Donald Elmazi ◽  
Kevin Bylykbashi ◽  
Evjola Spaho ◽  
Makoto Ikeda ◽  
...  
Robotica ◽  
2020 ◽  
pp. 1-17 ◽  
Author(s):  
I. Ben Hamida ◽  
M. A. Laribi ◽  
A. Mlika ◽  
L. Romdhane ◽  
S. Zeghloul

SUMMARY The optimum selection of a structure for a given application is a capital phase in typological synthesis of parallel robots. To help in this selection, this paper presents a performance evaluation of four translational parallel robots: Delta, 3-UPU, Romdhane-Affi-Fayet, and Tri-pyramid (TP). The problem is set as a multiobjective optimization using genetic algorithm methods, which uses kinematic criteria, that is, global dexterity and compactness, to ensure a prescribed workspace. The results are presented as Pareto fronts, which are used to compare the performances of the aforementioned structures. The obtained results show that the TP robot has the best kinematic performance, whereas the 3-UPU robot is the most compact for a given prescribed workspace.


Author(s):  
JOÃO W. CANGUSSU ◽  
KENDRA COOPER ◽  
W. ERIC WONG

Component-based software development techniques are being adopted to rapidly deploy complex, high quality systems. One of its aspects is the selection of components that realize the specified requirements. In addition to the functional requirements, the selection must be done taking into account some non-functional requirements such as performance, reliability, and usability. Hence, data that characterize the non-functional behavior of the components is needed; a test set is needed to collect this data for each component under consideration. This set may be large, which results in a considerable increase in the cost of the development process. Here, a process is proposed to considerably reduce the number of test cases used in the performance evaluation of components. The process is based on sequential curve fittings from an incremental number of test cases until a minimal pre-specified residual error is achieved. The incremental selection of test cases is done in two different ways: randomly and adaptively. The accuracy and performance of the proposed approach are dependent on the values of the desired residual error. The smaller the residual error, the higher the accuracy. However, performance has an opposite behavior. The smaller the error, the larger the number of test cases needed. The results from experiments with image compression components are a clear indication that a reduction in the number of test cases can be achieved while maintaining reasonable accuracy when using the proposed approach.


Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 870 ◽  
Author(s):  
Meznah A. Alamro ◽  
Khalid T. Mursi ◽  
Yu Zhuang ◽  
Ahmad O. Aseeri ◽  
Mohammed Saeed Alkatheiri

Classical cryptographic methods that inherently employ secret keys embedded in non-volatile memory have been known to be impractical for limited-resource Internet of Things (IoT) devices. Physical Unclonable Functions (PUFs) have emerged as an applicable solution to provide a keyless means for secure authentication. PUFs utilize inevitable variations of integrated circuits (ICs) components, manifest during the fabrication process, to extract unique responses. Double Arbiter PUFs (DAPUFs) have been recently proposed to overcome security issues in XOR PUF and enhance the tolerance of delay-based PUFs against modeling attacks. This paper provides comprehensive risk analysis and performance evaluation of all proposed DAPUF designs and compares them with their counterparts from XOR PUF. We generated different sets of real challenge–response pairs CRPs from three FPGA hardware boards to evaluate the performance of both DAPUF and XOR PUF designs using special-purpose evaluation metrics. We show that none of the proposed designs of DAPUF is strictly preferred over XOR PUF designs. In addition, our security analysis using neural network reveals the vulnerability of all DAPUF designs against machine learning attacks.


2014 ◽  
Vol 592-594 ◽  
pp. 2011-2015 ◽  
Author(s):  
Pravin Kumar ◽  
S.K. Nayak ◽  
Anil M. Datar ◽  
Gian Bhushan

This paper focuses on the calculation of modal frequencies and corresponding mode shapes of Gun Barrel by analytical method and the Finite Elements Method. Modal analysis is used to find out natural and succeeding two modes frequencies for transverse vibration. Barrel is considered as a cantilever beam. Recoil of Gun Barrel is incorporated as variation in the length cantilever beam. Increase in modal frequencies due to gun barrel recoil is observed. It is concluded that the transverse vibration of gun barrel coupled with the recoil produces a band of frequencies in each modes. The analysis and results discussed can be used for design and performance evaluation, selection of accessories and attachments of gun systems.


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