Abstract.The induction motor has in the industry . More attention has been a focus to develop and design of induction motor drive. With the method of vector control novelty prove the efficiency of induction motor over their entire speed range. In this paper desirable to design a loss minimization controller which can improve the efficiency. Also, this research described Modeling of an induction motor with core loss included. Realization of methods vector control for an induction motor drive with loss element included. The case of the loss minimization condition. The procedure was successful to calculate the gains of a PI controller. Though the problem of obtaining a robust and sensorless induction motor drive is by no means completely solved, the results obtained as part of this work point in a promising direction. Introduction.IM are critical components in industrial processes. A motor failure may yield an unexpected interruption at the industrial plant, with consequences in costs, product quality, commonly used in adjustable speed drive systems. Induction motors have been widely employed in various industries as actuators or drivers to produce mechanical motions and forces. Since it is estimated that more than 50% of the world electric energy is generated and consumed by electric machines, to improve an efficiency of electric drives are important [1.2]. Induction motors require both full operating range of speed and fast torque response in operational conditions, regardless of load variations. Namely, induction motors have a high efficiency at rated speed and torque.Its efficient control requires a suitable model with accurate parameters, the minimization of the objective function is carried out using the Particle Swarm Optimization. Particle Swarm Optimization (PSO) is an evolutionary algorithm inspired by social interaction. PSO is an evolutionary once technique (a search method based on a natural system) developed by Kennedy and Eberhart. The basic concept of the PSO technique 'lies in accelerating each particle towards its p best and g best locations, with a random weighted acceleration at each time step. PSO has many parameters, and these are described as follow: V max is the maximum allowable velocity of the particles (i.e. in the case where the velocity of the particle exceeds Vmax, then it is limited to Vmax). Particle swarm optimization (PSO) is one of the modern heuristic algorithms [16], [17]. PSO has attracted great attention due to its features of easy implementation, robustness to control parameters and computation efficiency compared with other existing heuristic algorithms, and has been successful. Particle swarm

This paper already publish (Post Print) in International Journal of Research In Science & Engineering Volume: 3 Issue: 3 May-June 2017

The biometric-based module of smart grid system E Engel, I V Kovalev and A Ermoshkina Abstract. Face identification systems are developing rapidly, and these developments drive the advancement of biometric-based identification systems that have high accuracy. However, to develop a good face recognition system and to have high accuracy is something that's hard to find. Human faces have diverse expressions and attribute changes such as eyeglasses, mustache, beard and others. Fisher Linear Discriminant (FLD) is a class-specific method that distinguishes facial image images into classes and also creates distance between classes and intra classes so as to produce better classification.

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The energy from the sunlight is accommodated and then converted into electrical energy. The energy can then be used to run a variety of electronic devices ranging from turning on the lights, moving the motor, and many others. In this research make solar energy as an alternative energy to supply energy to portable fertilizer dryers in overcoming household electrical needs and also help farmers so that no longer need electricity sucked through PLN. AbstrakEnergi dari sinar matahari ditampung kemudian dikonversi menjadi energi listrik. Energi tersebut nantinya dapat digunakan untuk menjalankan berbagai macam alat elektronik mulai dari menyalakan lampu, menggerakkan motor, dan masih banyak lagi yang lainnya. Didalam penelitian menjadikan energi tenaga surya sebagai energi alternative untuk mensuplai energi ke mesin pengering pupuk portabel dalam mengatasi kebutuhan listrik rumah tangga dan juga membantu petani sehingga tidak memerlukan lagi listrik yang tersedot melalui PLN.

The development of education at this time the increasing number of campuses are growing. Therefore every university wants to gain a lot of students in promoting the university. Many ways can be done for the determination of promotional strategies one of them by using techniques that exist in the data mining. The method used in this research by using the FP-Growth Algorithm. The FP-Growth algorithm is one of the alternative algorithms that can be used to select the most common data stack

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Arduino Uno water turbidity gauge has been successfully designed and manufactured. This tool is made using LDR as sensor and led as a light source to measure the water turbidity value and Arduino Uno for data processing. The existence of this tool is already familiar and comfortable to find. However, the price is relatively higher to make this tool is only owned by certain circles only. Nephelometric Method is a method of measuring the turbidity of water by passing a light source on water so that the intensity of light reflected by the sub- stances causing turbidity can be known. With the use of led as a light source and photodiode as a light detector, and combined with processing using Arduino Uno then the voltage obtained from the LDR sensor in the form of analog data is processed into digital data and can be displayed in the LCD.