A Seminar: Presentation On

A Seminar Presentation On MOLETRONICS

Department of Computer Science and Engineering M.B.M. Engineering College Jai Narayan Vyas University Jodhpur Presented by :ROHIT DADHEECH (16ECE35034)

Head of Department :Dr. RAJESH BHADADA

Guided by :Manu T S (Assistant Professor)

Contents  EVOLUTION  TEXT BASED IMAGE RETRIEVAL  CONTENT BASED IMAGE RETRIEVAL  IMAGE RETRIEVAL PROCESS  COLOR BASED IMAGE RETRIEVAL  COLOR BASED IMAGE RETRIEVAL PROCESS  COLOR FEATURE EXTRACTION METHOD  APPLICATIONS  FUTURE WORK  CONCLUSION  REFERENCES

EVOLUTION

MOORE’S LAW  In his original paper entitled Cramming Moore Components onto Integrated Circuit that, the complexity for minimum component costs has increased at the rate of roughly a factor of 2 per year.  Till date, Moore’s law about the doubling of the number of components in an IC every year  But according to the 2010 update to the International Technology Roadmap for Semiconductors, predicted that growth would slow around 2013 and in 2015.  The industry has been on 10nm for only two years, but mobile chip makers are eager for 7nm's lower power consumption.  This advancement will probably continue till 2021and this has been predicted that shrinking of transistors every two year will reach its maximum limit to 7nm or 5nm.

 After this point, Well known Moore’s law will not be followed by IC’s.

Next Step  What will happen after this end ?  Will this VLSI or ULSI techniques of semiconductor IC’s stop ?  Is this end of technology ?

NEW TECHNOLOGY : MOLETRONICS

 "Single molecules are currently the smallest imaginable components capable of being integrated into a processor.”  Instead using a transistor, a molecule (a single molecule or a small aggregate of molecule) might be used to represent the two states, namely ON & OFF conditions of digital electronics.

 For example, one can use positive spin & negative spin of a molecule to represent two states of binary logic as ON & OFF conditions respectively.

Why Moletronics ?  Size  Power  Manufacturing Cost  Elegance  Assembly and Recognition  Dynamical Stereochemistry

 Synthetic Tailor Ability

“The advantages render molecules ideal for electronics applications”

COLOR BASED IMAGE RETRIEVAL PROCESS  This system be formed 4 steps propose, pre-processing, extract of feature, store information of

image and retrieval the Image.

COLOR FEATURE EXTRACTION METHOD

COLOR FEATURE EXTRACTION

HISTOGRAM

AUTOCORRELOGRAM

COLOR MOMENTS

 COLOR HISTOGRAM :

 AUTOCORRELOGRAM:

 COLOR MOMENTS:

APPLICATIONS

FUTURE WORK

CONCLUSION

REFERENCES [1]. F. Long, H. J. Zhang and D. D. Feng, Fundamentals of Content-based Image Retrieval, In

Multimedia Information Retrieval and Management, D. Feng Eds, Springer, 2003. [2]. M. Partio, B. Cramariuc, M. Gabbouj, A. Visa, “Rock texture retrieval using gray level cooccurrence matrix”, Proc. of 5th Nordic Signal Procesing Symposium, On board Hurtigrutenm/S Trolljord, Norway, October 4-7, 2002. [3]. 4. P. S. Hiremath, Jagadeesh Pujari, “Content Based Image Retrieval based on Color, Texture and Shape features using Image and its complement”, International Journal of Computer Science and Security, Vol. 1 No. 4, pp 25-35, 2007. [4]. Gulfishan Firdose Ahmed, Raju Barskar, “A Study on Different Image Retrieval Techniques in Image Processing”, International Journal of Soft Computing and Engineering, Volume-1, Issue-4, September 2011. [5]. S.R. Kodituwakku, “Comparison of Color Features for Image Retrieval”, Indian Journal of Computer Science and Engineering, Vol. 1 No. 3, 207-211.