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This research paper discusses the friction and wear behaviour of Al-12Si alloy reinforced with B4C prepared through Powder Metallurgy (P/M) method by varying the weight percentage of reinforcement (x = 2, 4, 6, 8, and 10) content. The samples were prepared by using die and punch assembly and the lubricant used to eject the sample from the die was molybdenum disulfide. The compaction was done by using...
The work here intends to develop an algorithm for optimizing the available feature set for identifying tumor from brain MRI images. A set of features are selected based on texture features. From the large set of features relevant features would be selected using wrapper approach. Further, an optimized subset of the relevant features is generated with the help of Genetic Algorithm. The machine learning...
Nonintrusive load meters (NILMs) with a heap distinguishing proof capacity have been created in a few foundations and organizations. All heap recognizable proof calculations (LIAs) have a typical trademark: load ID depends on the present waveforms. Framework alignment and tests of meter with burden recognizable proof capacity is displayed in this paper. The framework depended on producing discretionary...
The nonlinearities form the obstacles to control the dynamic behavior of the neutralization process. In this paper fuzzy logic controller is designed. The fuzzy control is developed for a pH neutralization. The controller was set up for a plant. The fuzzy controller can avoid linearity problems that occur in the neutralization process. Thus the efficiency is improved using this technique. This technique...
This work aims to develop an Artificial Neural Network based Model Reference Adaptive Control strategy for an Industrial Process. The inherent advantage of the Neural Network to adapt in real time together with the effectiveness of Model Reference Adaptive control is utilized in the control of Industrial Chemical process.
The most commonly used control algorithm in industry is the Proportional-Derivative-Integral (PID) control. The controller's performance is decided by the proper selection of the control parameters. In this paper, Bacterial Foraging Optimization Algorithm (BFOA) is applied for optimizing the controller's parameters of a dc-dc converter. The robustness of the BFOA tuned PID controlled DC-DC converter...
Design of a controller for a chemical process is a challenging problem due to the strong on-line non-linearity and extreme sensitivity to disturbances of the process. Hence, a nonlinear control strategy based on sliding mode, which is a standard approach to tackle the parametric and modeling uncertainties of a nonlinear system, is chosen for tuning the controller a chemical process. But the fuzzy...
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