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Tirupati, India

Muthukumar S.,SVCE | Jawahar P.K.,BSA
Journal of Computer Science | Year: 2014

It is imperative for any level of cache memory in a multi-core architecture to have a well defined, dynamic replacement algorithm in place to ensure consistent superlative performance. The most prevalently used LRU replacement policy does not acquaint itself dynamically to the changes in the workload. As a result, it can lead to sub-optimal performance for certain applications whose workloads exhibit frequently fluctuating patterns. To overcome the limitation of this conventional LRU approach, our paper proposes a novel counter-based replacement technique which logically partitions the cache elements into four zones based on their 'likeliness' to be referenced by the processor in the near future. Categorizing the elements into different zones is achieved with the help of a 3-bit counter that is associated with every cache line. On a cache hit, the corresponding element is promoted from one zone to another zone. Replacement candidates are chosen from the zones in the ascending order of their 'likeliness factor' (i.e.,) the first search space for the victim would be the never likely to be referenced zone, followed by the subsequent zones till the most likely to be referenced zone is reached. Periodic zone demotion of elements also occurs to make sure that stale data does not pollute the cache. Experimental results obtained by using the PARSEC benchmarks have shown almost 7% improvement in the overall number of hits and 3% improvement in the average cache occupancy percentage when compared to LRU algorithm. © 2014 Science Publications.

Harinath S.,SVCE | Murthy U.N.,University Visvesvaraya College of Engineering
Pollution Research | Year: 2012

The air quality monitoring study has been carried in industrial areas of Bengaluru city for about three important parameters for the specific period and analyzed as per standards. It is observed that most of the samples are violating the Central Pollution Control Board, India (CPCB) norms. Copyright © EM International.

Harinath S.,SVCE | Murthy U.N.,University Visvesvaraya College of Engineering
Pollution Research | Year: 2012

Air pollution is causing a serious threat to public health in most of the urban centers in the developing countries. The ambient air quality levels in city areas are degrading day after day. The situation is expected to be worsen further with the increase of population, unplanned industries, economic development and influxes of people from rural areas. In this study a social survey was conducted at selected Industrial areas in and around Bangalore city to investigate the effect of air pollution on the human health. It was found that these personnel were directly exposed to the pollution for nearly 8 to 10 hours per day. It is observed that public is suffering from respiratory disorders due to exposure of air pollution. This study also tried to reveal the impact of air pollution on human health and study recommended several strategies to control air pollution with an aim of improving existing air quality of the areas. Copyright © EM International.

Syed Vasiyullah S.F.,A.M.S.C.E | Gopalakrishnan M.,SVCE
Proceedings of the 2013 International Conference on Green Computing, Communication and Conservation of Energy, ICGCE 2013 | Year: 2013

Unit commitment in the power system schedules on/off states of generating unit that minimize the total fuel cost. In PBUC, the objective is to maximize the profit of the GENCO in the deregulated environment. In deregulated environment, GENCO's works on the bases of forecasted demand, reserve and price where the objective is to maximize their profit. The proposed method uses payment for power delivered and reserve allocated to solve PBUC problem. The proposed approach has been tested on 3 units system. The results of the proposed method have been compared with traditional unit commitment. © 2013 IEEE.

Birchha V.,SVCE
Proceedings - 2014 6th International Conference on Computational Intelligence and Communication Networks, CICN 2014 | Year: 2014

Pioneering approaches that are effectual and conducive involved in the retrieval of information accessible on the World Wide Web. The distinct features can be used for the retrieval process, but the problem is to how to integrate the feature values. The peculiar features such as texture and color are used for exhibiting the content of an image. In this paper, we introduce a Wavelet and Gabor based Image Retrieval (WAGBIR) system, a Neural Network based architecture for content based image retrieval. This technique uses wavelet transform and Gabor filters features for repository image representation. To enhance factual resemblance match between images Back Propagation Neural network (BPNN) is presented, which guarantees the retrieval of images in an efficient way. To elaborate the effectiveness of the presented work, the proposed method is compared with several existing CBIR systems, and it is proved that the proposed method has performed better than all of the comparative systems. © 2014 IEEE.

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