Search

Automated anti-collision system by detecting obstacles for automobile industry is one the emerging technologies nowadays. An automated vehicle anti-collision system is an automobile safety system which prevents collision among cars and objects automatically. In this paper, we have discussed about implementation of the prototype of our designed microcontroller based automated car anti-collision system. Our system specializes in detecting obstacles by sharp distance sensor and alerts within close distance of collision and hereafter brakes automatically by actuator in critical distance without the help of driving person. If somehow driver fails avoiding the collision, this system will automatically stop the vehicle as it monitors the condition of the vehicle continuously. So it is a user friendly and versatile system which can prevent road accidents, reduce the rate of accidents as well as accidental death of human life. It can be used in any kind of automobile vehicle as it's a cost effective system.

In this paper, we have proposed a new a structure of power system network which has a connection between central unit and user through GSM-GPRS internet protocol which provides us the opportunity to control the load. Load side device can work on the basis of information provided by central processing unit as a result we can implement different features such as prepaid billing with different billing rate for different types of electrical load, priority service, scheduled service etc. The central processing unit will be able to predict future demand as it will have all load usage of every individual user. Proposed transformer side device will be available be provide transformer protection as it monitors the status of the transformers. After implementing our proposed project ‘Power Theft’ can be reduced as transformer side current information and load side information is available.

The aim of this project was to create a 6 degree of freedom (DOF) robotic manipulator that had a workspace to footprint ratio comparable to that of a serial robot but with a lower inertia, higher speed and improved energy efficiency. This paper briefly describes some parts of the design and then discusses the method used to obtain results for a simulated energy comparison against a serial robot.

Hard disk is the important component in computer system as data storage device. It is being used to store large amount of information in all modern computers. However, hard drive speed improvement slower than their capacity. Thus, long service delay for I/O bound processes may occur. Disk scheduling is an important issue for providing a quick response time in query processing. Operating System being the interface between the user and the hardware has the responsibility to use hardware efficiently. One crucial branch of this function is to decrease the response time and allow for better bandwidth through disk scheduling. Disk scheduling is used when processes running on the machine have multiple requests for data from the disks and a particular order is needed to access them most effectively. There are two major operations in the disk scheduling head-positioning of a hard disk i.e. seeking and tracking. Current algorithm have not included the system knowledge about the additional information provided by Operating System and not been used for improvement of the seeking and/or tracking accessing. This research project applies fuzzy model knowledge based on improving the disk scheduling algorithm. Incorporating knowledge-based scheduling policy using fuzzy logic improves the average response time, average seeks distance and average seeks time.

Hard disk is the important component in computer system as data storage device. It is being used to store large amount of information in all modern computers. Disk performance can be improved by incorporating disk scheduling optimization for satisfy pending request in the disk queue. Operating system, being the interface between the user and the hardware, has the responsibility to use hardware efficiently. Current algorithm have not knowledge about the additional information provided by operating system and not been used for improvement of the seeking and/or tracking accessing. The paper present fuzzy model knowledge based for improving the disk scheduling. We use the Matlab implementation of this algorithm to compare and contrast the output with existing algorithms. Incorporating knowledge-based scheduling policy using fuzzy logic improves overall system behavior. The performance of the new disk scheduling algorithm based on fuzzy logic shows that the seek distance movement could be decreased by applying our methodology.

A low cost sensor system is envisaged that has 2 distinct routes for resolution enhancement in position detection. The main area for application of the sensor design would be in the food processing and packaging industry where position resolution of the end effector is in the millimetre to sub-millimetre range. The sensor concept consists of a grid of laser light detectors attached to the stationary base and a grid of lasers attached to the mobile end effector. The photo detectors on the base provide one level for position detection enhancement, that is, the density of the sensor array. The second degree of freedom in improvement comes from the strategic positioning of a set of lasers attached to the end effector.