Hybrid Cooler Works on DC Motor

Science is basically "passive" observation of the universe, as it exists to generate knowledge. Engineering is making use of that knowledge to meet human needs by creating machine, systems, process and technologies that have not previously existed. Design and manufacturing are the synthetic part of engineering practice. Manufacturer has received a lot of attention recently for very good economic reasons. The use of renewable energy resources is increasing rapidly. Following this trend, the implementation of large area solar arrays is to be considered. Due to energy drivers that include uncertainty in oil prices and environmental concerns, effective management of energy system is a priority. Energy policy can focus on three areas to improve energy system like renewable energy supply, efficiency improvement and demand reduction. The functionality of solar cooler is dissimilar as that of the traditional coolers. The solar energy is harvested and stored in a battery. The battery is in turn connected to the solar cooler for the power sources. This is very innovative mechanical project on solar air cooling. Solar air conditioning has great potential. Sunlight is most plentiful in the summer when cooling loads are highest. It don’t create the overheads of maintenance or purchasing of pump neither it has to be sent for servicing every season. The concept of solar cooler sounds good and economical hence almost every class of our society can bear its expenses

Securing Cloud from Tampering and Duplication

Cloud computing is the most emerging technology today which is used by most of the social media sites to store the data. The data stored on the cloud is private data of the user so it must not be tampered by other entities. The previous system has worked on reducing the storage space by copying and archiving data but on the cost of reduced performance rate. We propose a system to enhance the storage space by performing deduplication on data and shuffling the data,between the number of directories within cloud after particular interval of time to avoid the tracking of data to enhance the security. The backup of the data will be taken timely into the back up directory. The proposed system will provide ease to use the cloud

Review And Comparative Study Of Motion Estimation Techniques To Reduce Complexity

ABSTRACT: Block matching motion estimation is a key Component in video compression because of its high computational complexity. The process of motion estimation has become a bottleneck problem in many video applications. Typical applications include HDTV, multimedia communications, video conferencing, etc. Motion estimation is a useful in estimating the motion of any object. Motion estimation has been conventionally used in the application of video encoding but nowadays researchers from various fields other than video encoding are turning towards motion estimation to solve various real life problems in their respective fields. In this paper, we present a review of block matching based motion estimation algorithms, reduced complexity of motion estimation techniques and a comparative study across all different algorithms. Also the aim of this study is to provide the reader with a feel of the relative performance of the algorithms, with particular attention to the important trade-off between computational complexity, prediction quality, result quality and other various applications. Keywords: Fixed size block motion estimation (FSBME), Block-based motion estimation (BMME), Peak-Signal-toNoise-Ratio (PSNR), Hybrid block matching algorithm (HBMA). I.INTRODUCTION Motion compensated transform coding forms the basis of the existing video compression Standards H.26 1/H.262 and MPEG-1 /MPEG-2, where the compression algorithm tries to exploit the temporal and spatial redundancies by using some form of motion compensation followed by a transform coding, respectively. The key step in removing temporal redundancy is the motion estimation where a motion Vector is predicted between the current frame and a reference frame. Following the motion estimation, a Motion compensation stage is applied to obtain the residual image, i.e. the pixel differences between the current frame and a reference frame. Later this residual is compressed using transform coding or a combination of transform and entropy coding. The above Video compression standards employs block motion estimation techniques. The main advantages of FSBME (fixed size block motion estimation) are simplicity of the algorithm and the fact that no segmentation information needs to be transmitted In block motion compensated video coding; first image frames are divided into square blocks (FIXED SIZE). The next step is to apply a three-step procedure, consisting of Motion Detection, Motion Estimation and Motion Compensation. Motion detection is used for classifying blocks as moving or non-moving based on a predefined distance or similarity measure. This similarity measure is usually done by MSE (minimum mean square error) criteria or minimum SAD (sum of absolute different) criteria. The output of the motion-estimation algorithm comprises the motion vector for each block, and the pixel value differences between the blocks in the current frame and the "matched" blocks in the reference frame. We call this difference signal the motion compensation error, or simply block error. Many techniques have been proposed for motion estimation for video compression so far. All the methods are proposed keeping any one or more of the three directions aimed that 1.reducing computational complexity 2.representing true motion (proving good quality) 3.reducing bit rate(high compression ratio)

IMPLIMENTATION OF INTELLIGENT CAP WITH DROWSY DETEC TION AND VEHICLE MONITORING

Drowsiness”, a state which is often seen in drivers now-a-days has become a serious issue in road mishaps. Driver fatigue resulting from sleep deprivation or s leep disorders is an important factor in the increasing number of accidents. The development of technology for preve nting drowsiness at the wheel is a major challenge in the field of accident avoidance system. . Sleepy drivers often do not take correct action prior to a collision

NOVATEUR PUBLICATIONS INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT] IMPLIMENTATION OF INTELLIGENT CAP WITH DROWSY DETECTION AND VEHICLE MONITORING

Abstract "Drowsiness", a state which is often seen in drivers now-a-days has become a serious issue in road mishaps. Driver fatigue resulting from sleep deprivation or sleep disorders is an important factor in the increasing number of accidents. The development of technology for preventing drowsiness at the wheel is a major challenge in the field of accident avoidance system. . Sleepy drivers often do not take correct action prior to a collision. For this reason developing a systems for monitoring driver's level of vigilance and alerting the driver, when he is drowsy and not paying adequate attention towards road, is essential to prevent accidents Therefore, a system that can detect driver fatigue, a decline in driver alertness and issue timely warning could help to prevent many accidents, and consequently reduce personal suffering. This paper presents implementation of cap with multiple tilt sensors which detects the drowsiness of drivers via head movements and control the speed of the vehicle according. This paper also aims to provide reliable indications of driver drowsiness based on the characteristics of driver-vehicle interaction