International Journal on Recent and Innovation Trends in Computing and Communication
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Dynamic Characteristics of PV System in Shaded/Un-shaded Portions Using MPPT Algorithm
Full text linkIn this paper, a combined low cost high efficiency converter and maximum peak power tracker has been presented. The maximum power point tracker system consists of DC-DC boost converter and PWM. PWM generates high quality sinusoidal line current. The suitable duty ratio for the boost converter will force the PV to work around the optimum voltage. The power generated by a PV cell depends on the operating voltage of the array, its voltage-current and voltage-power characteristic curves specify a unique operating point at which maximum possible power is delivered and the array is operated at its highest efficiency. One of the problems in designing efficient PV systems is to track the maximum power operating point for varying solar irradiance levels and ambient conditions. The output power produced by the PV panel is non-linear and changes with the solar irradiation and the ambient temperature. Therefore, a maximum power point tracking controller is needed to optimize the photovoltaic output power. A dc-dc converter is used to match the PV system to the load and to operate solar array at maximum power point .The perturbation and observation algorithm which is often employed to track the maximum power point This algorithm is selected due to its ability to withstand against any parameter variation and having a very high efficiency. As a result, by variation of the temperature and the insolation, the algorithm still managed to track the MPP successfully
A Study of Various Privacy Preserving Data Ming Algorithms for Datasets
Full text linkPrivacy, security and accuracy are the major issues to be concern in field of data mining data mining when data is shared. A number of data mining algorithms are already introduced for big data when we are talking about Privacy preserving data mining. These algorithms categories data into groups. Further these groups can be used for extract useful information. Such kind of data is used in surveys, calculations etc. An election data can be considered as an example for such kind of groups. The groups are made in a, b, ab, cd category. Each group is not aware that which group has which data. In the end using data mining algorithms the desired data can be extracted
Online Shopping: Benefits, Hurdles and Future
No full textOnline Shopping is a modern-day phenomenon which has evolved an exceptional significance within the present-day enterprise surroundings. The evolution of on-line shopping has opened the door of possibility to make the most and offer anaggressive benefit over companies. This paper analyzed the different issues of online purchasing. The studies target to provide theoretical contribution in about the existing reputation of on-line purchasing and explores the elements that affecting the online purchasing. The Study offers insights into consumers’ online purchasing behaviors and alternatives. Moreover, paper additionally become aware of the hurdles that clients’ face when they want to undertake internet purchasing as their principal shopping medium. Present study is a descriptive examine based at the specific assessment of earlier applicable studies related to the various ideas of on-line buying to explore the idea of on-line shopping. Findings revels that on line buying brings superior comfort to the consumers. Privacy and safety hazard emerge often as a reason for being cautious approximately net purchasing. Shopping accessibility, instantaneous ownership, statistics in search of, social interaction, and variety impacts the customer attitude in the direction of on line buying. The impossibility of product trying out, troubles with court cases, product go back and misuse of private records are the principle uncertainties regarding on-line purchasing