Institution
Budge Budge Institute of Technology
Education•Baj Baj, India•
About: Budge Budge Institute of Technology is a education organization based out in Baj Baj, India. It is known for research contribution in the topics: Steganography & Plasmon. The organization has 65 authors who have published 121 publications receiving 744 citations. The organization is also known as: BBIT.
Topics: Steganography, Plasmon, Surface plasmon, Triangular function, Piecewise
Papers
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01 Jan 2016TL;DR: In this chapter, the concept of the bat optimization algorithm is employed to design an automatic clustering method, and it is also applied to image segmentation.
Abstract: The bat algorithm (BA) is inspired by the echolocation characteristics observed in microbats searching for prey. It is a nature-inspired optimization algorithm which has already proved its efficacy in various fields. In this chapter, the concept of the bat optimization algorithm is employed to design an automatic clustering method, and it is also applied to image segmentation. A new rule-based statistical hypothesis approach is adopted for merging similar clusters, which guides the optimization process to find an optimal number of clusters. The process of bat clustering is applied to the segmentation of five benchmark images. Experimental results on several standard benchmark datasets indicate that the proposed methods provide a possible way to partition linear and nonlinear benchmark datasets. The proposed method is compared with other standard algorithms over a nine-number artificial and real-life benchmark dataset. The experiment shows that the algorithm is faster and convergence is improved over of the method it is compared to.
1 citations
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01 Jan 2016TL;DR: This chapter presents the genesis of hybrid functions (HF) mathematically and different elementary properties and operational rules of HF are discussed.
Abstract: Starting with a brief review of block pulse functions (BPF), sample-and-hold functions (SHF) and triangular functions (TF), this chapter presents the genesis of hybrid functions (HF) mathematically. Then different elementary properties and operational rules of HF are discussed. The chapter ends with a qualitative comparison of BPF, SHF, TF and HF.
1 citations
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01 Jan 2016TL;DR: This chapter is devoted to develop the theory of one-shot operational matrices, which are useful for multiple integration and are superior to repeated integration using the first order integration matrices.
Abstract: This chapter is devoted to develop the theory of one-shot operational matrices. These matrices are useful for multiple integration and, in general, are superior to repeated integration using the first order integration matrices. Theory of one-shot operational matrices is presented and the one-shot operational matrices of n-th order integration have been derived. Three examples with nine figures and four tables elucidate the technique.
1 citations
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TL;DR: The only resolution for this mammoth amount of data is to put into practice Big data with CDroid scheme for best use of it and this effort will budge a step ahead on the road to healthier civilization in close proximity to expectations.
Abstract: We are stepping frontward for an epoch of zeta bytes from Giga/Tera/Peta/Exa bytes in this era of computer science. The data storage in clouds is not the only preference as big data technology is obtainable for processing of both structured and unstructured data. Today a colossal sum of data is engendered by mobile phones (Smartphone) of both the composition types. For the sake of faster processing and elegant data utilization for gigantic quantity of data CDroid operating systems can be implemented with big data. Big data architecture is realized with mobile cloud for paramount deployment of wherewithal. The faster execution can be ended feasible for the make use of a new data centric architecture of MapReduce technology where as HDFS (Hadoop Distributed File System) also plays a big accountability in using data with dissimilar structures. As time advances the degree of data and information generated from smartphone augments and faster execution is call for the same. As per our research and development the only resolution for this mammoth amount of data is to put into practice Big data with CDroid scheme for best use of it. We believe this effort will budge a step ahead on the road to healthier civilization in close proximity to expectations.
1 citations
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TL;DR: The effect of considering the alternate process routing in the design stage of CMS is evaluated and it is found that routing flexibility results in better cell configurations.
Abstract: Background/Objectives: The adoption of cellular manufacturing becomes promising manufacturing philosophy to address the problems of today’s manufacturing plants such as an increasingly turbulent environment and rising customer requirements. Method/Statistical Analysis: Group Technology and Cellular Manufacturing System (CMS) have together paved way for the same through processing of similar parts groups as part families and the formation of a machine cell dedicated for the manufacture of the part family. The traditional CMS design methods do not incorporate many real-life manufacturing parameters such as batch size and machine flexibility, various cost factors at the design stage and also they are not taking the advantage of the machine flexibility in terms of coexistence of alternate process routing. Findings: In this work, a comprehensive mathematical model has been developed capturing these exact production parameters. An optimal solution is obtained using Lingo 8.0 software package and a solution methodology of best possible cell configurations is formed. Applications/Improvements: The effect of considering the alternate process routing in the design stage of CMS is evaluated and it is found that routing flexibility results in better cell configurations.
1 citations
Authors
Showing all 68 results
Name | H-index | Papers | Citations |
---|---|---|---|
Supriya Dutta | 16 | 37 | 823 |
Mainak Adhikari | 12 | 42 | 472 |
Arpita Adhikari | 12 | 41 | 410 |
Anish Deb | 10 | 79 | 441 |
Rishabh Dev Shukla | 9 | 16 | 301 |
Sumit Chabri | 8 | 23 | 284 |
Sourav Sadhukhan | 7 | 9 | 175 |
Sarosij Adak | 7 | 24 | 132 |
Labakanta Mandal | 7 | 15 | 133 |
Asish Kumar Mukhopadhyay | 7 | 34 | 132 |
Subhadeep Metya | 6 | 19 | 129 |
Sumita Banerjee | 6 | 8 | 120 |
Krishnendu Mukherjee | 6 | 13 | 91 |
Sandip Chanda | 5 | 22 | 93 |
A. Mitra | 5 | 9 | 96 |