A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Sumathi, M.
- A Perspective of Experiential Learning Approach Followed in Dhirajlal Gandhi College of Technology
Authors
1 Dept. of ECE, Dhirajlal Gandhi College of Technology, Salem, Tamilnadu, IN
2 Physics Dept., Dhirajlal Gandhi College of Technology, Salem, Tamilnadu, IN
Source
Journal of Engineering Education Transformations, Vol 28, No Spl Iss (2015), Pagination: 322-325Abstract
In the current scenario, curriculum design of Indian engineering education need to have high impact to change the lives of engineers and scientists to sustain in the professional field. Moreover engineers are in a position to meet the elevated demand in various sectors right from financial services to manufacturing techniques. In order to meet the above demand in this competitive world, it is essential to improve the engineering curriculum design which actually refers to the entire plan of a course and its desired learning outcomes. Effective improvement in the curriculum design of undergraduate engineering education can be done with the inclusion of various experiential learning methodologies. This paper deals with the inclusion of experiential learning in terms of guiding and training the students to design the equipments needed for the laboratory of optical communication and thereby enhancing the learning of theory course of Fiber optic communication. This methodology can be facilitated during the semester holidays for the students. This paper also describes about various experiential learning methodologies and high impact teaching skills required for engineering curriculum design.Keywords
Curriculum, Engineering Education, Experiential Learning, Optical Communication.- A 1.5V, 2.4 GHz CMOS Front-End Design Evaluation for IEEE 802.11b/g Application
Authors
1 Sathyabama University, IN
2 SRM University, Chennai, IN
Source
Wireless Communication, Vol 2, No 8 (2010), Pagination: 213-217Abstract
This paper describes the design evaluation of a 1.5V,2.4 GHz CMOS RF receiver front-end system consists of a low noise amplifier (LNA), down-conversion mixer and digitally controlled ring oscillator for Direct Conversion specification of IEEE 802.11b/g application. The designed LNA uses inductively degenerated Common Source-Common Gate stage (CS-CG) structure to enhance the gain and impedance matching. The mixer uses Switched – Transconductance Gilbert cell architecture for the betterment of noise figure. Also the tristate –inverter based 8-Bit Digitally controlled ring oscillator designed for generating local oscillator frequency. The front end blocks performance are analyzed by using Intel Core2DuoCPU E7400@2.80GHz processor with Agilent’s Advanced Design System (ADS) EDA tools and Microwind 2.7 version software. The design simulation process has been carried out in a standard TSMC 0.18-μm CMOS process technology. The LNA achieves a power gain of 18.35 dB and input reflection coefficient of -12.5 dB at 2.4 GHz RFfrequency. Also the mixer exhibits a noise figure of 13 dB and conversion gain of 39 dB. The schematic and layout developed for ring oscillator whose frequency of oscillation observed as 2.25GHz.
Keywords
CMOS, Down-Conversion, Front-end, LNA, Mixer, Ring Oscillator.- Study and Design Evaluation of RF CMOS Oscillators
Authors
1 Sathyabama University, Chennai - 600119, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 42 (2016), Pagination:Abstract
Objectives: To design and analyze the performance of CMOS RF Oscillator circuits at low supply voltage. Methods/Statistical Analysis: The Current Mode Logic (CML) based oscillator and LC oscillator is designed for 5GHz WLAN applications. The CML design adopts a DCO topology and the schematic layout is drawn using Microwind 2.7. The performance analysis is carried out using Intel Core2 Duo CPU E7400 @ 2.80 GHz processor. Advanced Design System 9.0 is used to implement schematics for analyzing the performances of proposed LC tank oscillator. Findings: The simulated results show that the tri-state inverter based DCO has 20 to 30% power reduction which is more than other conventional oscillator circuits. The CML inverter based DCO consumed more power than tri-state inverter because it used tail current transistor that provides always the static path from supply to ground. The theoretical phase noise is compared with simulated value of –95.19 dBc/Hz at same offset frequency. Application/Improvements: These designs produce a substantial improvement in performance and may be easily integrated with RF front-end blocks with minimal interface problems.Keywords
Current Mode Logic, CMOS Technology, Oscillator, Radio Frequency Design.- Forecasting Response Time in Elastic Cloud for Secure Resource Access in Transactional Database using Two Phase Authentication System
Authors
1 Department of Computer Applications, VHNSN College, (Autonomous), Virudhunagar - 626001, Tamil Nadu, IN
2 Department of Computer Science, Sri Meenakshi Government Arts College for Women, Madurai - 625002, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 31 (2016), Pagination:Abstract
The key factor of IaaS in cloud computing, deals with resource sharing and efficient utilization. Though, it was accessed only by legitimate user with cloud grant and revoke mechanism that depends on cloud data management. In this paper, a two way authentication method is proposed for accessing cloud data services with transactional database to provide resource access to legitimate user. The results show the comparison between single and two way authentication method for providing scalable and consistent performance for accessing cloud data store.Keywords
Elastic Cloud Forecasting, Resource Sharing, Secure Resource Access, Transactional Database.- Foreign Exchange Rate Forecasting using Levenberg- Marquardt Learning Algorithm
Authors
1 Christ University, Bangalore - 560029, Karnataka, IN
2 Sri Meenakshi Government College for Arts for Women (Autonomous) Madurai - 625002, Tamil Nadu, IN
3 Karpagam College of Engineering, Coimbatore - 641032, Tamil, IN
Source
Indian Journal of Science and Technology, Vol 9, No 8 (2016), Pagination:Abstract
Background/Objectives: Foreign currency Exchange (FOREX) plays a vital role for currency trading in the international market. Accurate prediction of foreign currency exchange rate is a challenging task. The paper investigates the FOREX prediction using feed forward neural network. Methods/Statistical analysis: This paper employs artificial neural network to forecast foreign currency exchange rate in India during 2010-2015.The exchange rates considered between Indian Rupee and four major currencies Euro, Japanese Yen, Pound Sterling and US Dollar. The network developed consists of an input layer, hidden layer and output layer. The neural network was trained with Levenberg-Marquardt (LM) learning algorithm. Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Forecasting Error (FE) are used as indicators for the performance of the networks. Findings: Simulation results are presented to show the performance of the proposed system. The paper also aims to suggest about network topology that must be chosen in order to fit time series kind of complicated data to a neural network model. The proposed technique gives the evidence that there is possibility of extracting information hidden in the foreign exchange rate and predicting into the future. Applications/Improvements: Finally, this paper presents the best network topology for FOREX prediction by comparing the effectiveness of various hidden layer performance algorithm using MATLAB neural network software as a tool.Keywords
Exchange Rate, Forecasting Error, Mean Absolute Error, Network Topology and Levenberg - Marquardt Learning Algorithm- Prediction of Stock Market Price using Hybrid of Wavelet Transform and Artificial Neural Network
Authors
1 Christ University, Bangalore - 560029, Karnataka, IN
2 Sri Meenakshi Government College for Arts for Women (Autonomous), Madurai - 625002, Tamil Nadu, IN
3 Karpagam College of Engineering, Coimbatore - 641032, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 8 (2016), Pagination:Abstract
Background/Objectives: Accurate prediction of stock market is highly challenging. This paper presents a forecasting model based on Discrete Wavelet Transform (DWT) and Artificial Neural Network (ANN) for predicting financial time series. Methods/Statistical analysis: The idea of forecasting stock market prices with discrete wavelet transform is the central element of this paper. The proposed forecasting model uses the Discrete Wavelet Transform to decompose the financial time series data. The obtained approximation and detail coefficients after decomposition of the original time series data are used as input variables of back propagation neural network to forecast future stock prices. Approximation coefficients can characterize the coarse structure of the data and detail coefficients capture ruptures, discontinuities and singularities in the original data, to recognize the long-term trends in the original data. Findings: The proposed model was applied to five datasets. For all of the datasets, accuracy measures showed that the presented model outperforms a conventional model. It also proved that the hybrid forecasting technique has achieved better results compared with the approach which is not using the wavelet transform. Applications/Improvements: The accuracy of the proposed hybrid method can also be improved by developing a model using artificial neural network with Adaptive Neuro Fuzzy Interference System.Keywords
Artificial Neural Network, Discrete Wavelet Transform (DWT), Time Series and Stock Market Prediction- Bioreduction of Chromium by the Bacterial Isolate from Tannery Effluent Treatment Plant
Authors
1 Centre for Environmental Studies, Anna University, Chennai (T.N.), IN
2 Department of Plant Biology and Plant Biotechnology, Ethiraj College for Women, Chennai (T.N.), IN
Source
Asian Journal of Bio Science, Vol 9, No 1 (2014), Pagination: 14-20Abstract
Tanneries are the oldest industries started to promote cottage business in India. Only after several years it was realized that the effluent had adverse effect on the environment. Many initiative steps were taken to treat the effluent in Common Effluent Treatment Plants (CETPs). CETPs discharge treated effluent with organics and chromium toxicant higher than the statutory limit for discharge into the surface water bodies. This study aims to remediate the contaminated environment by biological means with the indigenous bacterial population from the tannery effluent treatment plant by reduction of hexavalent chromium to trivalent form. The bacterial strains isolated from different stages of the treatment plant were characterized based on the morphological and biochemical properties. The chromium resistance and reduction potential of the isolates were done to identify the efficient chromium reducer. Bacillus sp. tolerated up to 2000 μg/ ml and reduced hexavalent chromium to trivalent form by 77.4 %. This strain can be used to remediate the chromium contaminated environment. Further molecular identification and approaches for strain improvement can enhance the reduction potential of the strain effectively.Keywords
Tanneries, CETPs, Hexavalent Chromium, Strain Improvement.- Detection of AML in Blood Microscopic Images using Local Binary Pattern and Supervised Classifier
Authors
1 ECE Department, Sathyabama Institute of Science and Technology, Chennai-119, IN
Source
Research Journal of Pharmacy and Technology, Vol 12, No 4 (2019), Pagination: 1717-1720Abstract
A novel method of detecting Acute myelogenous leukemia (AML) disease using image processing algorithms is discussed in this paper. AML is an high risk disease which should be diagnosed early. AML detection is challenging, and should be performed by a qualified hematopathologist or hematologist. This paper discusses an automatic detection of AML using image processing methods. The algorithm consists contrast enhancement, Local binary pattern detection and Fuzzy C mean clustering technique. This Automatic detection method will helps the hematologists for easier identification and early detection of leukemia from blood microscopic images which will improve the chances of survival for the patient. A fuzzy based two stage color segmentation strategy is employed for segregating leukocytes or white blood cells (WBC) from other blood components. Discriminative features i.e. nucleus shape, texture are used for final detection of leukemia.Keywords
Acute Myelogenous Leukemia, Fuzzy C Mean Clustering, Local Binary Pattern Feature Extraction.References
- Lorenzo Putzua, Giovanni Caoccib, Cecilia Di Rubertoa. Leucocyte classification for leukaemia detection using image processing techniques. Artificial Intelligence in Medicine vol no 62 (2014) pp 179–191.
- Madhloom HT, Kareem SA, Ariffin H, Zaidan AA, Alanazi HO, Zaidan BB. An automated white blood cell nucleus localization and segmentation using image arithmetic and automated threshold. J Appl Sci 2010;10(11):959–66.
- Sinha N, Ramakrishnan AG. Automation of differential blood count. In: Chockalingam A. Proceedings of the conference on convergent technologies for the Asia-Pacific region, October 15–17. IEEE Publisher; 2003. p. 547–51.
- Kovalev VA, Grigoriev AY, Ahn H. Robust recognition of white blood cell images. In: Kavanaugh ME, Werner B. Proceedings of the 13th international conference on pattern recognition, August 25–29. Vienna, Austria: IEEE Publisher; 1996. p. 371–5.
- V.P. Ananthi, P. Balasubramaniam. A new thresholding technique based on fuzzy set as an application to leukocyte nucleus segmentation. computer methods and programs in biomedicine 134, 2016, pp 165-177.
- S. Chinwaraphat, A. Sanpanich, C. Pintavirooj, M. Sangworasil, P. Tosranon. A modified fuzzy clustering for white blood cell segmentation, in: 3rd International Symposium on Biomedical Engineering, 2008, pp. 356–359.
- Jie Su, Shuai Liu , Jinming Song. A segmentation method based on HMRF for the aided diagnosis of acute myeloid leukemia. Computer Methods and Programs in Biomedicine 152 (2017) 115–123.
- Omid Sarrafzadeh, Hossein Rabbani, Alireza Mehri Dehnavi, Ardeshir Talebi. Detecting different sub-types of acute myelogenous leukemia using dictionary learning and sparse representation. IEEE International Conference on Image Processing (ICIP), 2015, pp 3339 – 3343.
- E. Montseny, P. Sobrevilla, and S. Romaní. A fuzzy approach to white blood cells segmentation in color bone marrow images. Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on, 2004, pp. 173-178.
- D. M. U. Sabino, L. da Fontoura Costa, E. Gil Rizzatti, and M. Antonio Zago. A texture approach to leukocyte recognition. RealTime Imaging, vol. 10, pp. 205-216, 2004.
- N. Theera-Umpon, S. Dhompongsa. Morphological granulometric features of nucleus in automatic bone marrow white blood cell classification. IEEE Trans. Inf. Technol. Biomed. 11 (3) (2007) 353–359.
- Xuming Zhang and Youlun Xiong. Impulse Noise Removal Using Directional Difference Based Noise Detector and Adaptive Weighted Mean Filter. IEEE signal processing letters, vol. 16, no. 4, pp.295-298, April 2009.
- Yiqiu Dong and Shufang Xu. A New Directional Weighted Median Filter for Removal of Random-Valued Impulse Noise. IEEE signal processing letters, vol. 14, no. 3, pp. 193-196 , March 2007.
- T. Ojala, M. Pietikainen, and T. Maenpaa. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 7, pp. 971–987, Jul. 2002.
- J. C. Bezdek. Pattern Recognition With Fuzzy Objective Function Algorithms. New York, NY, USA: Plenum, 1981.
- Yuchun Tang, Yan-Qing Zhang. FCM-SVM-RFE Gene Feature Selection Algorithm for Leukemia Classification from Microarray Gene Expression Data. The IEEE International Conference on Fuzzy Systems, 2005, pp 99-101.
- P.Chitra. Quantitative Characterization of Radiographic Weld Defect Based on the Ground Truth Radiographs Made on a Stainless Steel Plates. Advances in Intelligent Systems and Computing, Springer publication, Volume 433, pp 157-166,2016.
- Melissa, S., Srilatha, K. A novel approach for pigmented epidermis layer segmentation and classification. International Journal of Pharmacy and Technology. March-2016, Vol. 8, Issue No.1, 10449-10458.
- S. Sheela, M. Sumathi. Study and Theoretical Analysis of Various Segmentation Techniques for Ultrasound Images. ICRTCSE 2016, Elsevier – Procedia Computer Science, no.87, pp. 67 – 73, 2016.