In this paper, the shape memory, mechanical and Izod impact properties of a new shape memory nanocomposite based on thermoplastic polyurethane (TPU), acrylonitrile butadiene styrene (ABS) and alumina nanoparticles were investigated. The morphological results showed that the presence of 1% alumina nanoparticles made a reduction in diameter of ABS domains and caused a uniform distribution of the ...

Moving car on rough road suddenly gets out of its way for some reason and moves to the edge of the road at the same speed. Since the most important factor in car overturning is vertical acceleration in the wheels and car speed and road conditions determine the vertical instantaneous acceleration, brake system according to change of the spring length is designed in such a way that by monitoring ...

The ABS control problem is described, with a discussion on relevant hybrid control aspects. Next, we comment on conventional ABS design methods and present some new ideas and results on model-based ABS control design that relies on elements of hybrid control.

ABS (for abstract behavioral specification) is a novel language for modeling feature-rich, distributed, object-oriented systems at an abstract, yet precise level. ABS has a clear and simple concurrency model that permits synchronous as well as actor-style asynchronous communication. ABS abstracts away from specific datatype or I/O implementations, but is a fully executable language and has code...

We demonstrate a new dual slope SPR technique that is twenty-fold faster than the conventional step-response method. The new scheme utilizes rapid slope-based measurements followed by rapid reset and it separates association and dissociation half reaction measurements at two separate sites inside a dual-chamber PDMS microfluidic chip. For an model CAII-ABS test system, the association and disso...

The increasing complexity and cost of software-intensive systems has led developers to seek ways of increasing software reusability. One software reuse approach is to develop a Software Product-line (SPL), which is a reconfigurable software architecture that can be reused across projects. Creating configurations of the SPL that meets arbitrary re-

This dissertation addresses two issues that arise in the field of Nonlinear Model Predictive Control (NMPC): computational delay and stability of economically oriented NMPC. NMPC has gained wide attention through the application of dynamic optimization. It has the ability to handle variable bounds and multi-input-multi-output systems. However, computational delay caused by large size of nonline...

In this work, we develop and assess models for a real quadrotor in a Multi-Step prediction problem, that is, predicting the system state over many future steps using only the input. We propose a hybrid model with two configurations by combining deep recurrent neural networks with a quadrotor motion model. The proposed models take only motor speeds as input and predict the system state over a pr...

Recently, camera model identification becomes one of the most popular research topics in digital forensics field. Since every camera imaging processing left artifacts on its final output image, and some of them can be considered as model-specific ‘traces’ of its source camera, camera model can be classified only with a single image by catching these ‘traces’. This paper presents a camera model ...

In present study, a three-step multi-objective optimization algorithm of cyclone separators is catered for the design objectives. First, the pressure drop (Dp) and collection efficiency (h) in a set of cyclone separators are numerically evaluated. Secondly, two meta models based on the evolved Group Method of Data Handling (GMDH) type neural networks are regarded to model the Dp and h as the re...