A high accurate and low-voltage analog CMOS current divider which operates with a single power supply voltage is designed in 0.18µm CMOS standard technology. The proposed divider uses a differential amplifier and transistor in triode region in order to perform the division. The proposed divider is modeled with neural network while TLBO algorithm is used to optimize it. The proposed optimiza...

Satellites based positioning has been widely applied to many areas in our daily lives and thus become indispensable, which also leads increasing demand for high-positioning accuracy. In some complex environments (such as dense urban, valley), multipath interference is one of the main error sources deteriorating accuracy, it difficult eliminate via differential techniques due its uncertainty occ...

Strong localized downbursts generated in thunderstorms can produce surface winds very dangerous for civil structures and infrastructures. Modelling simulating such severe wind systems is therefore extremely important structural safety design speed evaluation. This paper deals with the downburst field simulation by means of an optimization algorithm that uses a analytical model, previously devel...

The Internet of Things (IoT) is a network numerous devices that are consistent with one another via the internet. Wireless sensor networks (WSN) play an integral part in IoT, which helps to produce seamless data highly influence network’s lifetime. Despite significant applications several challenging issues such as security, energy, load balancing, and storage exist. Energy efficiency considere...

The determination of photovoltaic (PV) parameters is great importance for the reliability solar system operation, continuity load power consumption, and control management energy source. Therefore, this study proposes an advanced backtracking search optimization algorithm (BSA) equipped with teaching learning-based (TLBO), named TLBOBSA, to accurately simulate PV model. During evaluation propos...

Machine learning techniques heavily rely on available training data in a set. Certain features the can interfere with process, so it is required to remove irrelevant and redundant build robust model. As such, several feature selection are usually applied pre-processing phase obtain most appropriate set of improve overall process. In this paper, new approach proposed based modified Teaching-Lear...