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Cloud computing is a model of sophisticated computing which has a strong effect on data innovation. Cloud computing offers remote access to shared computerized assets in the stored cloud. Operationally cloud servers utilize Web services that give enormus advantage to the user in a variety of applications such as banking and finance, storage, social networking and e-mail. Cloud computing accomplishes many of the features interrelated to elasticity, ease of utility, efficiency and performance with low cost.  There are a number of potential concerns related to security and privacy since the requirement to protect cloud computing expanded, the encryption algorithms play the key part in data and information security systems, on side these algorithms consume a considerable quantity of computing resource.This paper,presenting  a new hybrid encryption algorithm emphasising  on AES and Enhanced Homomorphic Cryptosystem (EHC) as a hybrid encryption  to guarantee the secure exchange of data between the user and the cloud server, and compression study for two proficient homomorphic encryption techniques for encoding Data Encryption Standard (DES), Advance Encryption Stander (AES).With The proposed techniques an evaluation has been conducted for those encryption algorithms at diverse file sizes of data, to evaluate time taking for encryption and decryption, throughput, memory consumption and power consumption. The major finding was thats the proposed method has the extremity throughput; memory consumption and our proposed work took advantage of the least time taken in sec for encryption and decryption.

Transient Stability is the capability of a system to be able to return to its normal state after experiencing large disturbances. The static var compensator (SVC) is a shunt device of the flexible AC transmission systems (FACTS) family using power electronics to improve transient stability in power system. For the SVC control, it is usually used a PI controller, although PI controller is simpler and cheaper but not suitable when power system is subjected to transient stability since power system become non-linear system. In order to overcome this problem, the PI controller combined with Fuzzy controller is designed. Two types of faults were considered for this study to examine the effect of the fuzzy-SVC controller on system transient stability, the proposed fault types are single line to ground fault and three lines to ground fault. The performance and behavior of the designed fuzzy controller compared with that of the conventional PI controller in term of terminal voltage, rotor angle, and transmission line active power.

Artificial egg incubators are devices used for incubating and hatching eggs through preservation the required conditions for fetus development inside the egg .Generally this paper aims to design and implement an egg incubator system in order to provide adequate conditions for egg hatching and to meet the growing market needs for locally grown white meat at reasonable prices, This system use software program  for controlling in the temperature and humidity using the proteus  program  and Arduino ide. The system of this incubator is based on two Arduino boards one of which is Arduino nano reads the temperature and humidity values inside the incubator chamber through sensor dht11 and it is displayed 16x2 display screen When this value is more than the maximum or less, then the bell give sound to be an indication of the exceeded permissible values and the controller processes the increase in the case of temperature by operating fans to expel and distribute the air. However, in the case of low temperature or humidity, the heater operates and pushes an amount of hot and steam into the inside incubator that make temperature and humidity high, it controls the motor that turns the eggs to change their position in order to prevent the embryo from sticking to the shell and. the electronic lock that makes the incubator door limited to the person responsible. The research would be a user-friendly product as it is manufactured in a limited and small size and can be transported to other locations with minimal user handling.

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This paper explains the Universal Software Radio Peripheral (USRP) Experiment results of Spectrum Sensing Algorithms based on the Energy Ration Algorithm for Cognitive Radio Networks which is latterly suggested in Spectrum observation for OFDM-Based Cognitive Radio Networks by using Energy Ratio Algorithm. This is completed through detecting the variance in the strength of the signal during a variety of confined OFDM subcarriers are used to ensure that the availability of the essential user is facilely discovered. Extensive experiments are performed, in particular, the effects of Signal to Noise Ratio (SNR). This paper observed that the experimental results gave lower detection performance compared to the simulation results. That’s due to existence of other systems which operate on same frequency band of 2.4GHz.