The density calculation in now-a-days is so difficult and it’s a time taking process.The Density,Location,Frequency (DLF) algorithm and the per square-meter area calculation gives the approximation results of the density in a region. The most important of the representation of the map and the changes in the area of region is being approximated with the Fractal-Calculations (FC) and the representation is done on Geo-Visualization.

The major causes of low productivity are poor maintenance and low productivity of equipment and machinery in operation of an industry. Competition in an increasingly global economy has created new benchmarks against which our performance is assessed. Developing successful efforts to continuously improve performance is becoming a key responsibility of top leaders and managers in all organizations. Recent studies have shown that maintainability has got great impact on the overall profitability of the organizations. Vibration monitoring if properly used can indentify most if not all of the factors limiting the effectiveness and efficiency of the total plant by the analysis of vibration signals. In this work amplitude of vibration is selected as the parameter such as Displacement and Velocity to assess the health of Blower in a tyre manufacturing industry. In most of the cases bearing points were selected to assess the vibration level. The normal level was fixed from the Manuals, Manufacturers Catalogues and some Standards of Vibration. The vibration data were taken from the Blower with the help of Rio-Vibro Meter in different location and analysis carried out in order to find the defective components in the Blower and the corrective actions were also proposed at the end.

The sole motive of this paper is to show that how the performance of a data warehouse can be improved by implementing statistical tools and heuristics on the functionality of data warehouse so that the performance can be enhanced. While this entire process of data creation for analysis moves on, the actual data warehouse uses a heuristic to store the needed data from a buffer which can be viewed as a storage device. The end data warehouse user will able to view the updated information from a temporary storage area.

Today computing has rapidly grown from being confined to a single location. With the rapid advances & development in mobile computing technologies and mobile devices, it is an important issue to maximize the number of served tasks for quality of service (QoS) provisioning in a mobile computing environment. One of many potential approaches is based on radio resource management (RRM). However, RRM suffers a problem that the task arrival rate, the task duration and the communication overhead between mobile nodes are uncertain under a mobile environment. To alleviate the obstacle, this paper proposes a GrayRRM method to predict the load status of mobile nodes. Our approach is on the application-level of mobile computing, and can directly support existing facility. The Grey-RRM scheme exhibits better adaptability, and outperforms other recent algorithms. The simulation results show that the proposed algorithm can yield lower task blocking rate, lower task dropping rate, less load information updated overhead, and shorter radio resource carrier acquisition delays.

In today’s computing world, different technologies have come up. These have grown to support existing computer networks all over the world. Mobile computing is a revolutionary technology which active us to access information, anytime and anywhere. Recently, there has been many research area is into mobile computing. With the help of caching techniques reduce bandwidth consumption and data access delay. This paper describes about different impact that mobile computing has had in the area of data management. In wireless communication the data availability is the most important problem, so we have focused on the issues of data availability and discussed about replicating mobiledatabases.