Recommendation System is a prime location which may be very famous and beneficial for humans to take right computerized decisions. It is a way that enables person to discover the statistics that is useful to him/her from sort of statistics available. When it involves Movie Recommendation System, advice is completed based on diverse measures which can be used to discover similarity among customers for advice. In this paper, we have surveyed ORBIT(Hybrid film suggest engine) ,Improved collaborative filtering set of rules, Knn(K nearest neighbour) collaborative filtering set of rules for film advice. We have additionally reviewed exceptional similarity measures. Various agencies like fb which recommends friends, LinkedIn which recommends job, Pandora recommends music, Netflix recommends movies, Amazon recommends merchandise etc. use advice device to boom their earnings and additionally gain their customers. This paper in particular concentrates at the short assessment of the exceptional strategies and its techniques for film advice, in order that studies in advice device may be explored.

Flexible AC Transmission System (FACTS) devices such as Static Var Compensator (SVC) and Static Synchronous Compensator (STATCOM) when placed at the midpoint of a long transmission line play an important role in controlling the reactive power flow into the power network. This Thesis explores the effect of STATCOM and SVC on voltage stability. The Nigerian 24-bus system has been used to demonstrate the ability of STATCOM and SVC in improving the voltage stability of a power system network. The structure of STATCOM and SVC are explained and their impact on midpoint voltage regulation. Furthermore, the performance of the STATCOM is compared with that of conventional static var compensator (SVC). Newton Raphson load flow analysis was carried out on the Nigerian 24-bus 330KV network using Neplan Engineering software. It was discovered that STATCOM provided a high reactive power support than SVC and also improved the static voltage of the buses to which it was connected to, as well as other buses that were not directly connected to the STATCOM. Although SVC improved the voltages of the buses to which it was connected to as well as other buses not directly connected to it, STATCOM displayed a greater improvement of the bus voltages to which it was connected to, with STATCOM offering the highest voltage improvement of 1.0388pu while SVC offered an improvement of 1.0282pu.The real and reactive power losses in the system network were reduced when STATCOM and SVC were inserted into the network, however the real and reactive power losses were lower when STATCOM was inserted than when SVC was inserted with STATCOM having a reactive power loss of 467.2285MVar giving a total reduction of 32.01% in the reactive power loss of the network while SVC had a total reactive power loss of 481.4609MVar giving a total reduction of 29.94% in the reactive power loss in the network. Similarly, STATCOM had an active power loss of 53.8229MW giving a total reduction of 17.96% in the active power loss of the network while SVC had an active power loss of 54.2594MW giving a total reduction of 17.30% in the active power loss of the network.

A Greenhouse is a closed transparent environment used for growing plants. Manual system of monitoring the microclimate of greenhouse involves the use of individuals to manually take measurement and regulate the Greenhouse environment at regular intervals. This can affect the crop yield as individuals may be unavoidably absent at a particular time. Wireless sensor network using zigbee technology can be utilized to automatically acquire the microclimate and regulate the greenhouse environment remotely. This work includes identification of parameters affecting plant growth, selection of sensors for the measurement of the identified parameters and the configuration of a wireless sensor and actuator network using SENSEnuts motes to remotely monitor the greenhouse environment. Automatic monitoring using wireless technology will make the greenhouse cheaper, less complex, and easy to manage as the use of wires are greatly reduced in the measurement and control system

This paper presents the modelling and simulation of wind farm driven by doubly-fed induction generator (DFIG) which feeds alternating current (AC) power to the utility grid. Here, two pulse width modulated voltage source converters are connected back to back between the rotor terminals and utility grid via common direct current (DC) link. The grid side converter controls the power flow between the DC bus and the AC side. It allows the system to be operated in sub-synchronous and super synchronous mode of operation. The machine side converter provided the proper rotor excitation needed. The complete system is modelled and simulated in the MATLAB Simulink environment. The modelling was done in such a way that it can be suited for modelling of all types of induction generator configurations. Using dynamic vector approach for machine model, the model makes use of rotor reference frame. The results of the simulations showed that the voltage stability of the system was improved by 66.7% using the DFIG wind turbines. This is through their ability to control reactive power and decouple control of active and reactive power by independently controlling the rotor excitation current. It was observed that the system voltage was increased from 0.99p.u to 1.01p.u.

In this paper we have modeled football results using the Elo and Logistic regression ratings by incorporating the aspect of removal of players for the German Bundesliga for 2017/18 and 2018/19 seasons, estimated the expectations of teams’ wins or losses and compared the model developed with Zacchary Andrews’s model which was developed in 2019.