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Thooyamani, K. P.
- Simulation of an All Optical Full Adder using Optical Switch
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Authors
Affiliations
1 Information Technology Bharath University Chennai-600073, IN
2 School of Computing, Bharath University, Chennai
3 Department of ETC, Bharath University, Chennai-600073, IN
1 Information Technology Bharath University Chennai-600073, IN
2 School of Computing, Bharath University, Chennai
3 Department of ETC, Bharath University, Chennai-600073, IN
Source
Indian Journal of Science and Technology, Vol 6, No S6 (2013), Pagination: 4733-4736Abstract
The optical communication system has many advantages at long distance communication. Semiconductor optical amplifier based Mach Zehnder Interferometer plays an important role in fast optical communication. In this work the proposed SOA based MZI switch is used for all optical logic and arithmetic operations. In this architecture the continuous wave laser source and control signal pass through the Mach Zehnder Interferometer. Control signal at this wave length is split at the coupler and more power passes through one arm. The input data signal is fed to the coupler, which splits the signal equally. The resultant signals then propagates simultaneously through the two arms of the interferometer. This architecture can be used to perform all optical processing of signals like half adder, full adder, de multiplexer etc. MZI switch is a very powerful technique to realize ultrafast switching. The physical mechanism behind the working of MZI switch is cross-phase modulation (XPM). Here the gain saturation induced by beam reduces carrier density inside one SOA, which in turn increases the refractive index only in the arm through which the light passes. As a result, an additional phase shift can be introduced on the CW beam because of the XPM, and the CW wave is directed towards the bar port during each one bit. Now it is clear that in the absence of control signal, the incoming signal (CW signal) exits through the cross port (lower channel) of MZI. In this case no light is present in the bar port. But in the presence of the control signal, the incoming signal exits through the bar port of the MZI.Keywords
SOA, MZI, CW, OTA, Full AdderReferences
- Hill M T et al. (2005). Coupled Mach-Zehnder interferometer memory element, Optics Letters, vol 30(13), 1710–1712.
- Mehra R, and Tripathi J K (2010). All optical switching in a semiconductor optical amplifier based Mach Zehnder interferometer, International Journal of Computer Application, vol 1(9), 102–106.
- Li Z (2006). Ultrafast all optical signal processing using semiconductor optical amplifier, Journal of Light waves, vol 24(1), 230–236.
- Poustie A (2007). Semiconductor optical amplifier lights up all optical signal processing, Journal of Lightwave Technology, vol 25(1), 103–108.
- Huang D (2008). Potential optoelectronic devices for all optical signal processing, SPIE Proceedings, vol 7134.
- An Integrated Agent System for E-mail Coordination using Jade
Abstract Views :362 |
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Authors
Affiliations
1 School of Computing, Bharath University, Chennai-600073
2 Information Technology, Bharath University, Chennai-600073, IN
3 Information Technology, Bharath University, Chennai-600073
1 School of Computing, Bharath University, Chennai-600073
2 Information Technology, Bharath University, Chennai-600073, IN
3 Information Technology, Bharath University, Chennai-600073
Source
Indian Journal of Science and Technology, Vol 6, No S6 (2013), Pagination: 4758-4761Abstract
With growing usage of computer applications there is growing dependence of business over computer aided services like e-mails. The CRM or E-Mail based marketing companies are becoming pervasive. There is always a greater need to prioritize the e-mails which has direct impact on the ROI - Return on Investment to run these companies in a way that to customers satisfied. In this paper, a method is proposed to prioritize the unread E-Mails based on users' interest and priority. This is implemented in this system using agent technology. The Agent mechanism is guided using JADE Middleware and it's underlying architecture. The Intelligent agent used here can learn the interest and priority of the user and use this knowledge to rearrange the unread mails. The Text corpus in the mail would undergo tokenization and each token would be matched with knowledgebase by the agent. The 90 percent precision of the prioritization. Thereby, the E-Mails are ranked according to interest and priority of the user.Keywords
Intelligent Agent, Tokenization, E-Commerce, Artificial IntelligenceReferences
- Shen Y, and Jiang J (2003). Improving the performance of Naive Bayer’s for text classification, CS224N Spring Report.
- Koller D, and Sahami M (1997). Hierarchically classifying documents using few words, Machine Learning International Workshop, Technical Report.
- McCallum A, and Nigam K (1998). Comparison of event classification for event models for text classification, AAAI-98 Workshop on Learning for Text Categorization.
- Woolridge M, and Jennings N R (1995). Intelligent agents: theory and practice, Knowledge Engineering Review, vol 10, No. 2.
- Sahami M, Dumais S et al. (1998). A bayesian approach to filtering junk E-mail, AAAI-98 Workshop on Learning for Text Categorization.
- Russell S J, and Norvig P (2003). Artificial intelligence: a modern approach, 2nd Edn., Prentice Hall, 375–398.
- Grefensette G, and Tapaninian P (1994). What is a word, what is a Sentence? Problem of tokenization, Rank Xerox Research Center, Grenoble Laboratory, France.
- Shen W, Hao Q et al. (2006). Applications of agent based systems in intelligent manufacturing: an overview, Advanced Engineering Informatics, vol 20(4), 415–431.
- Caire G, Lavarone G et al. (2011). Jade Tutorial, Jade Programming for Android, Available From: http://jade. tilab.com
- Leonardo (2001). Intermedia in Electronic Images, MIT Press Journal, vol 34(1), 49–54.
- An Efficient Weed and Pest Detection System
Abstract Views :145 |
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Authors
Affiliations
1 Bharath University, Chennai – 600073, Tamil Nadu, IN
2 School of Computing, Bharath University, Chennai – 600073, Tamil Nadu, IN
1 Bharath University, Chennai – 600073, Tamil Nadu, IN
2 School of Computing, Bharath University, Chennai – 600073, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 32 (2015), Pagination:Abstract
In an agricultural field, farmers have a wide range of diversity to select suitable fruit and vegetable crops. However, the cultivation of these crops with quality produce is highly technical. Most challenging for farmers is to differentiate between crops and weeds. The proposed method identifies the weeds by using leaf parameters such as shape, color, and texture. Pest/disease detection is also possible by detection of varied shape and color of disease affected crop leaves. In order to improve the accuracy of weed detection, need to develop a weed detection algorithm which could be supported in all the cases accurately. Adding on, crops face many diseases. Pest/diseases are seen on the leaves of the plant. To avoid misclassification of such disease affected plant as weed, a new algorithm is developed for disease identification and included in weed detection algorithm. Recognition of normal leaf, diseased leaf and weed is based on similarity measure.Keywords
Euclidean Distance, Leaf Parameters, Image-Processing, Plant Disease Detection, Weed Detection- Design and Analysis of an Integrated Mems Harvester for Low Power Devices
Abstract Views :153 |
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Authors
Affiliations
1 Information, Bharath University, Chennai–600073, Tamil Nadu, IN
2 School of Computing, Bharath University, Chennai–600073, Tamil Nadu, IN
1 Information, Bharath University, Chennai–600073, Tamil Nadu, IN
2 School of Computing, Bharath University, Chennai–600073, Tamil Nadu, IN