Rabbit Anti-Human c-Met (phospho Tyr1349) monoclonal antibody, clone 26I8M7

To improve system performance, redundancy is widely used in different kinds of industrial applications such as power systems, aerospace, electronic, telecommunications and manufacturing systems. Designing high performant systems which meet customer requirements with a minimum cost is a challenging task in these industries. This paper develops an efficient approach for the redundancy optimization problem of series-parallel structures modeled as multi-state systems. To reach the target system availability, redundancies are used for components among a list of products available in the market. Each component is characterized by its own availability, cost and performance. The goal is to minimize the total cost under a system availability constraint. Discrete levels of performance are considered for the system and its components. The extreme values of such performance levels correspond to perfect functioning and complete failure. A piecewise cumulative load curve represents consumer demand. System availability corresponds to the aptitude to fulfill this demand. The multi-state system availability evaluation uses the universal moment generating function technique. The proposed optimization algorithm is based on the non-linear threshold accepting metaheuristic, while using a selfadjusting penalty guided strategy. The obtained results demonstrate the approach efficiency for solving the redundancy optimization problem of multi-state systems. Its effectiveness is also tested using the classical redundancy optimization problem of binary-state systems. The algorithm is evaluated by comparison to the best known methods. For multi-state systems, it is compared to genetic algorithm and tabu search. For binary-state systems, it is compared to genetic algorithm, tabu search, ant colony optimization and harmony search. The obtained results demonstrate that the proposed approach outperforms these state-of-the-art benchmark methods in finding, for all considered instances, a high-quality solution in a minimum computational time.

In this article, an automated method based on the multivision and sensor collaboration is proposed to achieve the precision pose measurement of microdevice with a slice micropart embedded inside. This method consists of three modules. First, the invisible attitude component measurement module based on a laser range sensor and the top view is designed to acquire the initial attitude component determined by the inside slice micropart. Second, the attitude component measurement module based on the contour primitives of interest extraction method abbreviated as contour primitives of interest extraction (CPIE) is utilized to obtain the other attitude components by extracting features from images directly. Third, an attitude controller based on the multivision is presented to achieve automated attitude component restriction ensuring that an exact attitude can be obtained when occlusion occurred. A series of experiments including entire assembly experiments are conducted and experimental results reveal that the proposed methods are effective and the attitude error is less than 0.6 degrees meeting the requirement of assembly.