Data Warehouse Architecture

The proposed work based on Pseudo Mesh Schema signifies that instead of a Centralized Data Warehouse, all the data will be resided over the geographically distant Work Station or Site, which is known as Local Site in the present work and among all the local sites, one of the Site will be elected as the coordinator Site, which does not contain any data at all, rather it contains a database consisting of MAC IDs of all the Decision Makers System which is attached to it. The proposed work also describes that the Users or the Decision Makers communicate with their coordinator only through a query and the Coordinator decides whether the request is from an Authenticated User or not, by searching the MAC_IDs stored in its own Database. Once the request from an Authenticated User is received by the coordinator, the coordinator starts to distribute or replicate the requested query over the Local Sites and waits for the response from the Local Site. It is to be kept in mind that, as the Dimension Tables are distributed over the Local Sites, all the Sites must not contain the same data. Therefore, the Site which contains the desire data of the query, responses first to its coordinator and then the coordinator sends a Stop Signal to all other Sites to stop their execution, and finally the Coordinator dispatches the result of the query to the Destination User. In this way the proposed work ensures the performance enhancement of Data Warehouse than the existing Centralized Query Processing Approach.

Rank is research term on ordering of data .search is term in research of text-mining data-Mining. Ranking is presentation of information fetched by text retrieval engine to user based on efficiency parameters and performance measure i.e. recalls precision, F-measure, ultimately information gain. Simple task of ranking algorithm is to present orderly information in higher precision to recall map of user search query. We develop system in two approaches text based engine, network based engine i.e. web based. Current engines perform searching with semantic analysis and first-rate required documents from structured, unstructured corpus or semi structured dataset, moving on approach from large dataset to small number of text files with sense of word we select knowledge gaining or trainable algorithm which increase its performance over given dataset every next search .current engines implement varied algorithms which are technology or core implementation varied for system they were developed. Web based engine implement Page rank (Google Algorithm), adha rank (Bing Algorithm), adha boost, web Car t .text based system implement Naïve Bayes, k-Means, EM, KNN, Apriori etc. selecting of proper algorithm depends on system and dataset under search .selecting word for document retrieval engine requires implementation of data mining algorithm with machine learning to reduce search area and time. Innovative method in context of our project is gradual uplift of system perform with algorithm change or technology change a last approach .text ming methods have shown hierarchical development from pattern matching to mono gram to latest n-gram technology. Adha boost is found to be best scenario and performance machine algorithm with web cart a second approach for our web based engine development. This paper gives a literature overview of our first and second approach of system development for both structured and unstructured dataset for standalone and network based system. Research scholar paper which are free to access from various web database are incorporated for study and concluding remarks are tagged in our literature to present first literature and base structure for second approach. This paper presents the study of second review fetched and descendent of Identification of keywords and phrases in text Document and sensing a word for document retrieval and ranking: First Review of my college .the project development we have implemented parallel dependent method.

In the past few years, the data warehouse (DW) has regained experts’ interest due to the paradigm shift from data storages to data analysis. During the development of DWs data passes through a number of transformations and are staged in multiple storages which might lead to data corruption and/or manipulation. Hence, testing DWs is a vital stage in the DW development life cycle. In this paper, we will present a DW testing approach that is adjustable to fit multiple DW architectures and will present its applicability on three case studies to outline the flexibility and generality of the proposed approach.

A data warehouse as we all know has become a vital entity for any business. Companies are investing in data warehouse not only to achieve enormous profit in their business but also to get a strategic advantage over its competitors. We in this paper has investigated various reports to find out whether it is invaluable to implement a data warehouse or it is just for the sake of going at par with today's technology. How much a strategic advantage will help a company by investing a huge amount in its data warehouse is also a part of the survey.

Injection if wind power into an electric grid affect the power quality.The performance of the wind turbine and there by power quality are determined on the basis of measurements and the norms followed according to the guideline specified in international electro technical commission standard,IEC-61400.the influence of the wind turbine in the grid system concerning the power quality measurements are the active power, reactive power , variation of voltage, flicker,harmonics, and electrical behaviour of switching operation and these are measured according to national/international guidelines. The paper study demonstrates the power quality problems due to installation of wind turbine with the grid. In this proposed scheme STASTIC COMPENSATOR (STATCOM) is connected at appoint of common coupling with a battery energy system (BESS)to mitigate the power quality issues. The battery energy storage is integrated to sustain the real power source under fluctuating wind power. The STATCOM control scheme for the grid connected wind energy generation system for power system block set. The effectiveness of proposed scheme relives the main supply source from the reactive power demand of load and the induction generator. The development of the grid coordination rule and the scheme for improvement in poersuality norms as per IEC standard on the grid has been presented.

In this paper, Minkowski fractal antenna for Bluetooth application has been designed. Apart from this, it can be used for various other applications as well because of its multiband feature. The antenna is fed by Microstrip feeding technique. Its advantage is that it can be easily fabricated as it is a just conducting strip connecting to the patch and therefore, can be considered as an extension of the patch. The proposed patch antenna is designed and simulated on IE3D simulation software and it is designed to operate in 2.45GHz band. Dielectric substrate with the permittivity €=2.2 (RT/Duroid 5880) with width of 1.588mm is used to make a resonant patch antenna of linear polarization. In this analysis, we have compared the antenna parameters such as gain, impedance, antenna efficiency, radiation efficiency, radiation pattern, polar plots, VSWR and Q-factor. Reduction in patch antenna size is achieved when performing fractalization of the main patch.

Rank is research term on ordering of data .search is term in research of text-mining data-Mining. Ranking is presentation of information fetched by text retrieval engine to user based on efficiency parameters and performance measure i.e. recalls precision, F-measure, ultimately information gain. Simple task of ranking algorithm is to present orderly information in higher precision to recall map of user search query. We develop system in two approaches text based engine, network based engine i.e. web based. Current engines perform searching with semantic analysis and first-rate required documents from structured, unstructured corpus or semi structured dataset, moving on approach from large dataset to small number of text files with sense of word we select knowledge gaining or trainable algorithm which increase its performance over given dataset every next search .current engines implement varied algorithms which are technology or core implementation varied for system they were developed. Web based engine implement Page rank (Google Algorithm), adha rank (Bing Algorithm), adha boost, web Car t .text based system implement Naïve Bayes, k-Means, EM, KNN, Apriori etc. selecting of proper algorithm depends on system and dataset under search .selecting word for document retrieval engine requires implementation of data mining algorithm with machine learning to reduce search area and time. Innovative method in context of our project is gradual uplift of system perform with algorithm change or technology change a last approach .text ming methods have shown hierarchical development from pattern matching to mono gram to latest n-gram technology. Adha boost is found to be best scenario and performance machine algorithm with web cart a second approach for our web based engine development. This paper gives a literature overview of our first and second approach of system development for both structured and unstructured dataset for standalone and network based system. Research scholar paper which are free to access from various web database are incorporated for study and concluding remarks are tagged in our literature to present first literature and base structure for second approach. This paper presents the study of second review fetched and descendent of Identification of keywords and phrases in text Document and sensing a word for document retrieval and ranking: First Review of my college .the project development we have implemented parallel dependent method.