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A Wireless Sensor Network WSN is a network of spread sensors that can accumulate a physical situation of the data resource. Reduction of sensor cost is an important task for researchers in WSNs technology. Taking full advantage of the sensor's lifetime in these networks is the most critical challenge of a Wireless Sensor Network WSN. Most sensor nodes of this network need to be ready for a long time with limited power batteries. This paper focuses on the adjustment of the optimal position. Using mobile access point (AP) alleviate the deficiency of WSNs. In most other approaches of the Network, the shortages geometric of the sensor nodes that closed to the sink, it will seriously become a complex data transfer. Thus, the lifetime of their batteries is a mean factor to maximize the minimum lifetime and frequency transmission/reception function must be possible and able to be executed to overcome the technical limitations. In particular, as a limitation of wireless, research on the part related to power supply and guarantee of wireless connectivity is continuing. With our technological development, Sine-Cosine-Algorithm (SCA) is proposed to find the optimal position of AP nodes concerning long lifetimes. That means we can design an efficient network with low-cost energy. The simulation results show that this method can extend the network's lifespan and save more than 45 percent of power. The results are compared with another Algorithm named Biogeography-Based Optimization (BBO). [ABSTRACT FROM AUTHOR]

In this work, we developed energy management for households has an independent fuel cell battery hybrid system. The development is based on fuzzy logic control FLC and sliding mode control SMC and hybrid(FLC) and (SMC). The energy management scheme is compared with the simulation of the model. The efficient energy management technology is verified with experimental results. The results of the three systems of fuel cell batteries demonstrate that the most important factor for energy management is a state of charge (SOC) regulation because the continuous usage of SOC needs to be kept constant every day. The performances of these management schemes are compared to see the various effects of the SOC, power split, and fuel cell power. [ABSTRACT FROM AUTHOR]

Water cement ratio It is a method consisting of more than one attempt in order to obtain a product that contains a mixture of ideal components involved in the production and formation of high-performance and cohesion concrete. There are many methods for making and designing concrete mixtures in contemporary studies and researches that are approved at the present time, but one of the most important, well-known and most widely used is the methodologies derived from the method of the three equations. Compressive strength is one of the most important characteristics of concrete, as it determines the concrete class. The concrete block represents the expected compressive strength is necessary for the use of concrete structures. primary feature of its durability and safety. Deep learning has recently received a lot of Concentration, the future of modern prospects for this technology is brighter. Machine learning algorithms have advanced to the point that they can recognize patterns that are difficult for humans to recognize. This has sparked interest in data mining on enormous datasets. We want to use Recent developments and achievements in machine learning approaches to formulation of concrete mixes creation in our study. In order to enhance the possibility of the ideal structure designed for an artificial neural network, an integrated database of concrete specifications and features with corresponding destructive laboratory tests was created. The architecture of an artificial neural network has been translated In a mathematical equation consisting of employed in real-world applications". [ABSTRACT FROM AUTHOR]

Robotics is among the much-touted treatment and therapy solutions in modern dentistry. A unique Particle Swarm Optimization PSO is utilized to manage the needle tip location and direction as a function of the knots along the path between the end-effector segments in a dentistry robotics navigation system recently suggested. The innovative "Numeric Alphabet Flow" (NAF) method may control any point-to-point surgical motions for a three-link robotic guiding system. The new NAF approach creates a brand-new form known as the NAF-PSO methodology by using flowing values and alphanumeric characters in the fuzzy rules and employing particle swarm optimization techniques. Within that paper, we use the novel NAF-PSO to improve robotic tracking performance. This study introduces a unique route planner that specifies the suggested NAF-PSO function as minimizing space and traveling time while not reaching a maximal preset force and avoiding obstacles. [ABSTRACT FROM AUTHOR]