Key words: Asynchronous counter, Decoder, Multiplexer, ROM and Modulator.
[2] Rfid Explained,‖ Free Idtechex White Paper, Idtechex Limited, 2002.
[3] K. Finkelzeller, The Rfid Handbook, 2nd Ed., John Wiley & Sons, 2003.
[4] Y. Lee, ―Antenna Circuit Design For Rfid Applications‖, Microchip Technology Inc., 2003.
[5] Z. Zhu, B. Jamali And P. H. Cole, ―Brief Comparison Of Different Rectifier Structures For Rfid Transponders‖, Auto-Id Lab At University Of Adelaide, 2005.
[6] U. Kaiser, W.Steinhagen, ―A Low Power Transponder Ic For High Performance Identification Systems‖, Ieee J. Solid-State Circuits, Vol. 30, No. 3, Pp. 306 – 310, March 1995.
[7] R. J. Baker, H. W. Li And D.E. Boyce, ―Cmos Circuit Design, Layout, And Simulation‖, Ieee Press, 1998.
Keywords – Chalcopyrite concentrate, Chlorine leaching, Dissolution, Hydrochloric acid, and Copper, Iron.
2. (a) Rabaey, K.; Clauwaert, P.; Aelterman, P.; Verstraete, W. Environ. Sci. Technol. 2005, 39, 8077-8082. (b) Lu, Z.Y.; Jeffrey, M.I.; Lawson, F. Hydrometallurgy 2000, 56, 189-202.
3. Havlik, T.; Laubertova, M.; Miskufova, A.; Kondas, J.; Vranka, F. Hydrometallurgy 2005, 77, 51-59. 4. Velásquez-Yévenes, L.; Nicol, M.; Miki, H. Hydrometallurgy 2010, 103, 108-113.
5. Pandey, A.M.; Gupta, K.N.; Altekar, V.A. Hydrometallurgy 1982, 9, 57-68.
6. Acero, P.; Cama, J.; Ayora, C.; Asta, M.P. Geologica Acta. 2009, 7(3), 389-397.
7. Owusu, G.; Dresinger, D.B. Hydrometallurgy 1995, 38, 315-324.
8. Babu, M.N.; Sahu, K.K.; Pandey, B.D. Hydrometallurgy 2002, 64, 119-129.
9. Ting-sheng, Q.; Guang-hua, N.; Jun-feng, W.; Li-feng, C. Trans. Nonferrous Met. Soc. China 2007, 17, 418-422.
10. Balaz, P.; Ebert, I. Hydrometallurgy 1991, 27, 141-150.
Key words: Arithmetic Ability, Study Habit, Achievement in Mathematics, Sex, Medium.
[1]. National policy of Education. (1986) Government of India Document. New Delhi, Ministry Of Human Resourse Development
[2]. Pauk.W(1962)How to study in College.Bostoni AoughtonMifflin Company
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[4]. Akinboye. J.O (1980) How to study ; A psychological approach Ibadan, Maritime Printers.
[5]. Rastogi.S (1983)"Diagnosis of weakness in Arithmetic as related to the Basic arithmetic skills and their remedial measures" Ph.D. Thesis, Gauhati university, 1983.
[6]. Sumangala. V. 1995. Some psychological variables discriminating between high and low achievers in mathematics. Experiments in education, 23 (10 and 11) 165-175
[7]. Yahaya.L.A (2003).Relationship between study habit and attitude of secondary school students towards examination malpractice in kwara state. Abuja Iournal of Education.15 (1), 216-234.
[8]. Ghose, B.N.: "Scientific Method & Social Research." Sterling Publishers Pvt. Ltd.
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[10]. Oyedeji,O.A.(1991) : " Perseverance, Study habit and self concept as predictors of students‟ performance in secondary school mathematics in Nigeria."
[11]. Sherard.W.H.(1981) Why a Geometry a Basic Skill?. Mathematics Teacher. 19-21.
[12]. Sirohi, V.: "A study of underachievement in relation to study habits and attitude."
Keywords: EDM, pulse on/off, surface finish, Wear
[1]. Singh, R., Singh B., Singh, H., 2010. Experimental Investigation for Tool Life Enhancement using Cryogenic Treatment. J. Eng. Sci. Tech. 4, 1-4.
[2]. Kiyak, M., Cakir, O., 2007. Examination of machining parameters on surface roughness in EDM of tool steel. J. Mater. Process. Technol. 191, 141-144.
[3]. Pandey, P.C and Shan., (2004). H.S Modern Machining Processes. Tata McGraw-Hill, New Delhi
[4]. Luis, C.J., Puertas, I., Villa, G., (2005). Material removal rate and electrode wear study on the EDM of silicon carbide. J. Mater. Process. Technol. 164-165, 889-896.
[5]. Lee, H.T., Tai, T.Y., 2003. Relationship between EDM parameters and surface crack formation. J. Mater. Process. Technol. 142, 676-683
[6]. Kumar, S., Choudhury, S.K., 2007. Prediction of wear and surface roughness in electro-discharge diamond grinding. J. Mater. Process. Technol. 191, 206-209.
[7]. Saha, S. K., Choudhury, S.K., 2009. Experimental investigation and empirical modelling of the dry electric discharge machining process. Int. J. Mach. Tools. Manuf. 49, 297-308.
[8]. Kumar, S., Choudhury, S.K., 2007. Prediction of wear and surface roughness in electro-discharge diamond grinding. J. Mater. Process. Technol. 191, 206-209.
Keywords - 16-QAM, Symbol Mapping, Interpolation, up conversion, down conversion, FPGA design
[1]. X. Li, Simulink-based simulation of quadrature amplitude modulation (QAM) system, Proceedings of the IAJC-IJME International Conference ISBN 978-1-60643-379-9, 2008.
[2]. C.H. Dick, F.J. Harris, M. Rice, FPGA implementation of carrier synchronization for QAM receivers, Journal of VLSI Signal Processing, Vol 36, pp.57–71, 2004.
[3]. F.J. Harris and C.H. Dick, On structure and Implementation of algorithms for carrier and symbol synchronization in software defined radios, EUSIPCO-2000, Efficient Algorithms for Hardware Implementation of DSP Systems, Tempere, Finland, 5–8 Sept. 2000.
[4]. J.E. Volder, The CORDIC trigonometric computing technique, IRE Trans. on Electronic Computers, vol. 8, no. 3, 1959,pp. 330–334.
[5]. C.H. Dick and H.M. Pedersen, Design and implementation of high-performance FPGA signal processing data paths for software defined radio, Xilinx, INC
[6]. System generator demo models, Xilinx user guide
[7]. H. Tarn, et al, Designing efficient wireless digital up and down converters leveraging CORE generator and system generator, Xilinx® Application Note, XAPP1018.
[8]. S. Creaney and I. Costarnov, Designing efficient digital up and down converters for narrowband systems, Xilinx® Application Note, XAPP1113.
[9]. N. Lall, FPGA-based wireless system design, Xilinx, INC.
[10]. M.S. Naghmash, et al, FPGA Implementation of software defined radio model based 16QAM, European Journal of Scientific Research ISSN 1450–216X Vol.35 No.2, pp. 301–310, 2009.
[11]. X. Thang Vu, N. Anh Duc, T. Anh Vu, 16-QAM transmitter and receiver design based on FPGA, Proceedings of 2010 Fifth IEEE International Symposium on Electronic Design, Test & Applications, p 95–98, 2010.
Keywords – Industrial control system, SOC, Hydraulic damper test bench, LabVIEW, PID algorithm.
[1]. Drumea, Al. Vasile, P. Svasta, M. Blejan, System on Chip Signal Conditioner for LVDT Sensors, 1st Electronics Systemintegration Technology Conference ESTC06, Dresden, Germany, September 2006, pp. 629-633.
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[9]. National Instrument's PID Control Toolset User Manual.
The main formal technique used for RSVP specification and verification is CPNs. In this paper, their functionality is described briefly by using RSVP without giving any formal definitions. The paper gives an informal introduction to the components, dynamic behaviour, occurrence and enabling mechanism of RSVP using CPNs.
Key Words: CPN, RSVP, service specification.
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[2] Jensen K. Coloured Petri Nets: Basic Concepts, Analysis Methods and Practical Use. Springer-Verlag, 2nd edition, Vol. 1, April, 1997.
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[4] Jensen K. Coloured Petri Nets: Basic Concepts, Analysis Methods and Practical Use. Springer-Verlag, Vol. 3, April, 1997.
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[10] Koustsofios E. and North S. Drawing Graphs with Dot. AT&T Labs-Research. March, 1999.
The From last few decades Image retrieval is growing as an active research area because Image retrieval is related to various other research field and domains such as Image processing, computer vision, Human computer Interaction (HCI), Database, Statics, Pattern recognition and Artificial intelligence. But this multidisciplinary area was always restricted by some limited resources as it requires large storage area and high processing power. Due to information explosion on the internet the data available today on the internet is not in the form of traditional documents but nowadays the internet database has also seen a significant rise in the multimedia databases like images, video and audio. The efficient access to this information depends upon the efficient retrieval of this data. Hence image retrieval has been the area of active research in the past few decades.This paper involves retrieving images from large databases of images which are visually similar to a query image. Now days image database increasing day by day, and it's very useful in a various applications, therefore need for the development of CBIR arose. The main objective for this thesis work is to develop a Content base image retrieval system with an innovative approach to use wavelet transformation, F-norm theory, artificial neural networks and classification techniques to retrieve similar images to the input image. The purpose of this project work is to show my research and the solution to the design of the Image retrieval system. This report summarizes the problem, proposed solution, and the desired results. This system is based on the wavelet transform, uses artificial neural networks, and similarity matching after classification.In this system user give query as an image then wavelet transform of image used to calculate the features of the image, four layers feed forward artificial neural network is used to train the system and classify the training dataset using supervised training approach. After that use similarity matching to generate the rank of the retrieves images, on the instructions similar images to query image from image database. The similarity matching is used to improve the efficiency and accuracy of the system while neural network and classification techniques are used to reduce the time complexity of the system.
Key Words: Content based Image Retrieval, Wavelet, Artificial Neural Network, F-norm Theory.
[1] S. M. Lew. Next-Generation Web Searches for Visual Content, Computer, Information Retrieval, Volume 33,Number 11, Computer Society IEEE, 46-53. 2000.
[2] A. Del Bimbo. VisualInformation Retrieval, MorganKaufmann Publishers. 1999.
[3] P. McGuire and G. M. T. D`Eleuterio. Eigenpaxels and a Neural-Network Approach to Image Classification,IEEE Trans. onNeural Networks, 12-3. 2001.
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[9] S. Liapis and G. Tziritas. Color and texture image retrieval using chromaticity histograms and wavelet frames, IEEE Trans. on Multimedia, 5:676–686. 2004.
[10] E. Mathias and A. Conci. Comparing the Influence of Color Spaces and Metrics in Content-Based Image Retrieval, Anais do X SIBGRAPI (10):1-8. 1988.
[11] Q. Iqbal and J. K. Aggarwal, CIRES: A System for Content-based Retrieval in Digital Image Libraries, Seventh International Conference on Control, Automation, Robotics and Vision (ICARCV) 1:205- 210. 2002. Eight International Workshop on Image Analysis for Multimedia Interactive Services(WIAMIS'07)
The main focus of this paper is the implementation of mixed-signal peak current mode control in low-power dc–dc converters for portable applications. A DAC is used to link the digital voltage loop compensator to the analog peak current mode loop. Conventional DAC architectures, such as flash or are not suitable due to excessive power consumption and limited bandwidth of the reconstruction filter, respectively. The charge-pump based DAC (CP-DAC) used in this work has relatively poor linearity compared to more expensive DAC topologies; however, this can be tolerated since the linearity has a minor effect on the converter dynamics as long as the limit-cycle conditions are met. The CP-DAC has a guaranteed monotonic behavior from the digital current command to the peak inductor current, which is essential for maintaining stability. A buck converter IC, which was fabricated in a 0.18 m CMOS process with 5 V compatible transistors, achieves response time of 4 s at for a 200 mA load-step. The active area of the controller is only 0.077 mm and the total controller current-draw, which is heavily dominated by the on-chip senseFET current-sensor, is below 250 A for a load current of 50mA.
Key Words: CPM, current-mode, dc–dc converter, digital con- trol, integrated circuits, power management, SMPS, voltage regu- lators.
[1] M. Alimadadi, S. Sheikhaei, G. Lemieux, S. Mirabbasi, and P. Palmer, "A 3 GHz switching DC–DC converter using clock-tree charge recy- cling in 90 nm CMOS with integrated output filter," in Proc. IEEE Int. Solid-State Circuits Conf., 2007, pp. 532–533.
[2] Z. Hayashi, Y. Katayama, M. Edo, and H. Nishio, "High efficiency dc–dc converter chip size module with integrated soft ferrite," IEEE Trans. Magn., vol. 39, no. 5, pp. 3068–3072, Sep. 2003.
[3] MIC3385: 8 mhz Inductorless Buck Regulator With LDO Standby
Mode Datasheet, micrel, 2007 [Online]. Available: http://www.mi- crel.com
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[7] H. Forghani-Zadeh and G. Rincon-Mora, "An accurate, continuous, and lossless self-learning CMOS current-sensing scheme for
inductor- based DC–DC converters," IEEE J. Solid-State Circuits, vol. 42, no. 3, pp. 665–679, Mar. 2007.
[8] M. Du and H. Lee, "A 2.5 MHz, 97%-accuracy on-chip current sensor with dynamically-biased shunt feedback for current-mode switching DC–DC converters," in Proc. IEEE Int. Symp. Circuits Syst., 2008, pp.
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lation," IEEE Trans. Power Electron., vol. 19, no. 1, pp. 210–218, Jan.
2004.
ganizational Improvement Model, is one of the most significant organizational superiority as well as self-assessment which is located based on accessibility of such a model. This model has been found as one of the most powerful and efficient means of assessment as well as improvement in functionality of each system. In this research, on the one hand, the weighing framework standard has been taken into account and on the other hand, domesticating the model by means of providing necessary questions in order to study all sub-standards have been achieved. Furthermore, we have had 300 providers out of random sampling and finally they ended up narrowing the number to only two candidates and while utilizing those random questions ,a thorough comparison had been conducted.This research, according to the result of the questions given to those two above-mentioned providers and recording all the findings, and with the use of SPSS those charts have been drawn in order to find the positive impact of implementing the EFQM model on the quality and constant improvement of the other companies and achieve all the prospective results.
Key Words: EFQM , quality Management , Functional Quality Assessment, Categorization of Providers.
[1] Abdi Farshid & Karbasiyazdi Amir,2011, EFQM Domesticated Model for Organizations
[2] Abdolrashidi Neda & Firoziyan Mahmod ,2009, Recognizing the effective Indices related to Industrial Projects Emphasizing on EFQM and BSC
[3] Ahadinezhad Massoumeh & Badami Rokhsareh & Mostahfezian Mina,2010, Organizational Intelligence and Excellence Based on EFQM Model Among the Isfahan Sport Boardsare Interrelated
[4] Amin fereshte & Asgharizade Ezatollah ,2007 ,Students' satisfaction assessment based on customer-oriented model results Mazandaran University Students' studies per case,
[5] Amin fereshte & Asgharizade Ezatollah ,2007,Spare Part Manufacturers' Quality Control based on EFQM using hierarchical method
[6] Barris Blundell , 2012 , Aplicación del modelo EFQM en la gestión de los servicios asistenciales de una farmacia comunitaria
[7] Bozorgzad Ahmadali& Jamshidiyan Mehdi ,2009,Organization assessment based on Excellence Model
[8] Bou-Liusar, Carlos, escrig-Tena, Roca-Puig, Vicente, Beltran-Martin,2005, To what extend do enablers explain results in the EFQM excellence model, International journal of quality & reliability Management
[9] Conti,2007, A history and review of the European Quality Award Model
[10] Davood Barzegari Valikandi & Mohammad Zare ,2009, Gap Analysis of Human Resource Situation with EFQM Requirements in Iranian Automotive Industries(Case Study:SAIPA Co.)