College of Engineering, Pune

About: College of Engineering, Pune is a based out in . It is known for research contribution in the topics: Sliding mode control & Control theory. The organization has 4264 authors who have published 3492 publications receiving 19371 citations. The organization is also known as: COEP.

In search of a scalable file system state-of-the-art file systems review and map view of new Scalable File system

Abstract: File is a super abstraction of hypothetically huge volume of information stored in containers (disk blocks) which is persists for very long time (memory abstraction). File is linear Array of bites and blocks of bytes accessed by multiple clients which is controlled by File system. File System function is disk seek, read maximum information from container and maps file names and offsets to disk blocks for better read and write operations. File system is logic to device how Information is stockpiled and how effectively to retrieve it. File system manages references (pointers) to memory block and assist to seek information in feasible manner. Without which data would be placed in large heaps of memory at location unknown to operating system to manage resources effectively. File System is structure and sense rules accustomed in managing clusters of data is termed as file system. Current age is age of High performance information processing and intelligent knowledge generation which urges for better Scalable File System. Current File System come with Numerous limitations as architecture design pattern limitations, I/O Operational, component failure, reliability issue, data decomposition, fault Tolerance etc. This manuscript give a first Survey first step towards synchronized research. This is our First research article on Scalable File System which facilities view map of new Scalable File System. Beta Survey Methodology is been incorporated with pattern of Abstract methodology and scope Writing for every research article related to Scalable file system Survey. The Key point answer of Conclusion is Luster a scalable file system which has been used as core in development of world top 100 supercomputers which fulfills key space to be scalable file System Future research work would be implementation of Luster File System and Evaluation on parameters of global name space IOPS and Luster File Size, No of clients and OST's used with Throughput MBPS and read/write pattern evaluation.

Extraction of key frames from video using discrete cosine transform

Abstract: With the development of multimedia data types and available bandwidth there is huge demand of video retrieval systems as users shift from text based retrieval systems to content based retrieval systems (CBVRS). Selection of extracted features play an important role in content based video retrieval, regardless of video attributes under consideration. Good features selection also allows the time, space and cost saving in the retrieval process. This leads to the interest of selecting only those features that can be extracted from video data and used for indexing and retrieval along with similarity measurement methods. There are certain issues like video store, search, index and retrieve as a trend in area of content based video retrieval systems. In this paper, we have proposed a method. In this paper fractional discrete cosine transform coefficients are used to extract key frames which eventually save space and time with better completeness in the retrieval process.

Technical challenges for development of smart grid in India

Abstract: India, a developing country, is facing many problems in growth at every point of electrical energy system. In such cases, smart grid is the only solution which provides an open market of electricity generation, transmission and distribution. Indian power sector has taken some steps for framework of smart grid with various regulatory and standards' organizations. India is having various constraints such as financial, geographical etc. for development of smart grid. Some important technical challenges are discussed in this paper. These technical challenges should be solved which could help in development of smart grid in India.