ORIGINAL_ARTICLE
Combining and Steganography of 3-D Face Textures
One of the serious issues in communication between people is hiding information from the others, and the best way for this, is to deceive them. Since nowadays face images are mostly used in three dimensional format, in this paper we are going to steganography 3-D face images and detecting which by curious people will be impossible. As in detecting face only, its texture is important, we separate texture from shape matrices, for eliminating half of the extra information. Steganography is done only for face texture, and for reconstructing a 3-D face, we can use any other shape. Moreover, we will indicate that, by using two textures, how two 3-D faces can be combined. For a complete description of the process, first, 2-D faces are used as an input for building 3-D faces, and then 3-D face and texture matrices are extracted separately from the constructed 3-D face. Finally, 3-D textures are hidden within the other images.
http://jecei.sru.ac.ir/article_690_5480d0101bfe5f0accf5e2c468a3f06f.pdf
2017-10-01T11:23:20
2018-07-21T11:23:20
93
100
10.22061/jecei.2017.690
Steganography
Shape
Texture
Face image
Combining images
Mohsen
Moradi
m.moradi8111@aut.ac.ir
true
1
Department of Mathematics and Computer Science, Amirkabir University of Technology – Tehran Polytechnic, Tehran, Iran
Department of Mathematics and Computer Science, Amirkabir University of Technology – Tehran Polytechnic, Tehran, Iran
Department of Mathematics and Computer Science, Amirkabir University of Technology – Tehran Polytechnic, Tehran, Iran
LEAD_AUTHOR
Mohammad-Reza
Sadeghi
true
2
Department of Mathematics and Computer Science, Amirkabir University of Technology – Tehran Polytechnic, Tehran, Iran
Department of Mathematics and Computer Science, Amirkabir University of Technology – Tehran Polytechnic, Tehran, Iran
Department of Mathematics and Computer Science, Amirkabir University of Technology – Tehran Polytechnic, Tehran, Iran
AUTHOR
[1] A. Bas, W. A. Smith, T. Bolkart, and S. Wuhrer, “Fitting a 3-D morphable model to edges: A comparison between hard and soft correspondences,” arXiv preprint arXiv: 1602.01125, 2016.
1
[2] V. Blanz and T. Vetter, “A morphable model for the synthesis of 3-D faces,” in Proc. the 26th annual conference on Computer Graphics and Interactive Techniques, Los Angeles CA, USA, 1999.
2
[3] J. Kittler, P. Huber, Z. H. Feng, G. Hu, and W. Christmas, “3-D morphable face models and their applications,” in Proc. International Conference on Articulated Motion and Deformable Objects, Palma de Mallorca, Spain 2016.
3
[4] A. Patel and W. Smith. “3d morphable face models revisited. In in Proc. of IEEE Computer Vision and Pattern Recognition (CVPR), pp. 1327–1334, Florida, USA, 2009.
4
[5] X. Zhu and D. Ramanan. "Face detection, pose estimation, and landmark localization in the wild," in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Rhode Island, 2012.
5
[6] C. C. Chang, T. S. Chen, and K. F. Hwang, “Electronic image techniques,” Taipei: Unalis, 2000.
6
[7] N. F. Johnson and S. Jajodia, “Exploring steganography: Seeing the unseen,” IEEE Computer, vol. 31, no. 2, pp. 26-34, Feb. 1998.
7
[8] P. Paysan, R. Knothe, B. Amberg, S. Romdhani, and T. Vetter, “A 3-D face model for pose and illumination invariant face recognition,” in Proc. IEEE Intl. Conf. on Advanced Video and Signal based Surveillance, Genova, Italy, 2009.
8
[9] V. Blanz and T. Vetter, “Face recognition based on fitting a 3-D morphable model,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1063-1074, 2003.
9
[10] J. R. T. Rodríguez, “3D face modelling for 2D+3D face recognition,” Ph.D. dissertation, Dept. Electron. Eng., Univ. Surrey, Guildford, U.K., 2007.
10
[11] K. Pearson, “On lines and planes of closest fit to systems of points in space,” Philosophical Magazine, vol. 2, no. 11, pp. 559-572, 1901.
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[12] W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B.P. Flanner, “Singular value decomposition,” Solution of Linear Algebraic Equation from Numerical Recipes in C, pp. 59-70, 1992.
12
[13] T. P. Minka, “Automatic choice of dimensionality for PCA,” M.I.T Media Laboratory Perceptual Computing Section Technical Report, Cambridge, 2000.
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[14] H. A. Kiers, “Setting up alternating least squares and iterative majorization algorithms for solving various matrix optimization problems,” Computational Statistics and Data Analysis, vol. 41, no. 1, pp. 157-170, 2002.
14
[15] C. G. Rafael and E. W. Richard. Digital Image
15
Processing. Prentice-Hall, Upper Saddle River, NJ,
16
USA, 3rd edition, 2006.
17
[16] M. W. Chao, et al., “A high capacity 3D steganography algorithm,” IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 2, pp. 274-284, 2009.
18
ORIGINAL_ARTICLE
Design of a Novel Framework to Control Nonlinear Affine Systems Based on Fast Terminal Sliding-Mode Controller
In this paper, a novel approach for finite-time stabilization of uncertain affine systems is proposed. In the proposed approach, a fast terminal sliding mode (FTSM) controller is designed, based on the input-output feedback linearization of the nonlinear system with considering its internal dynamics. One of the main advantages of the proposed approach is that only the outputs and external states of the system should be measured. Moreover, in order to realize finite-time convergence of the output variables, a set of switching manifolds with a recursive procedure is utilized. Finally, robust stability and efficacy of the proposed control law are shown through computer simulations.
http://jecei.sru.ac.ir/article_691_36b42bcfc80a31ad9a3dc8a173fa5fe2.pdf
2017-10-01T11:23:20
2018-07-21T11:23:20
101
108
10.22061/jecei.2017.691
Finite-time stability
Internal dynamics
Fast Terminal Sliding-Mode
Canonical form
Masoud
Keshavarz
m.keshavarz@sutech.ac.ir
true
1
Shiraz University of Technology
Shiraz University of Technology
Shiraz University of Technology
AUTHOR
Mohammad Hossein
Shafiei
shafiei@sutech.ac.ir
true
2
Shiraz University of Technology
Shiraz University of Technology
Shiraz University of Technology
LEAD_AUTHOR
[1] I. Utkin Vadim, “Variable structure systems with sliding modes,” IEEE Trans. Autom. Control, vol. 22, no. 2, pp. 212-222, 1977.
1
[2] W. Gao and J. C. Hung, “Variable structure control of nonlinear systems: A new approach,” IEEE Trans. on Ind. Electron., vol. 40, no. 1, pp. 45–55, 1993.
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[3] C. Edwards and S. Spurgeon, Sliding mode control: Theory and applications. CRC Press, 1998.
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[4] A. Sabanovic, L. M. Fridman, and S. K. Spurgeon,"Variable structure systems: From principles to implementation," IET Digital Library, vol. 66, ISBN: 978-0-86341-350-6, 2004.
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[5] V. T. Haimo, “Finite time differential equations,” in Proc. 24th IEEE Conference on Decision and Control, vol. 24, pp. 1729–1733, Fort Lauderdale, FL., USA, 1985.
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[6] S. T. Venkataraman and S. Gulati, “Control of nonlinear systems using terminal sliding modes,” J. Dyn. Syst. Meas. Control, vol. 115, no. 3, pp. 554–560, 1993.
6
[7] J. Wang , S. Li , J. Yang, B. Wu, and Q. Li ,“Finite-time disturbance observer based non singular terminal sliding-modecontrol for pulse width modulation based DC–DC buck converters with mismatched load,” IET Power Electronics, vol. 9, no. 9, pp. 1995 – 2002, 2016.
7
[8] Z. Mao, M. Zheng, and Y. Zhang, “Nonsingular fast terminal sliding mode control of permanent magnet linear motors,” presented at the Control and Decision Conference, Yinchuan, China, 28-30 May 2016.
8
[9] T. Elmokadema, M. Zribia, and K. Y. Toumi, “Terminal sliding mode control for the trajectory tracking of underactuated autonomous underwater vehicles,” Journal of Ocean Engineering, vol. 129, no. 1, pp. 613–625, 2017.
9
[10] H. Yanga, B. X. Baib, and H. Baoyina, “Finite-time control for asteroid hovering and landing via terminal sliding-mode guidance,” Journal of Acta Astronautica, vol. 132, pp. 78–89, 2017.
10
[11] Y. Feng, M. Zhou, X. Zheng, F. Han, and X. Yu, “Terminal sliding-mode control of induction motor speed servo systems,” in Proc. 14th IEEE Conference on International Workshop on Variable Structure Systems (VSS), pp. 351-355, Nanjing, China, 1-4 June 2016.
11
[12] T. Binazadeh and M. H. Shafiei, “Nonsingular terminal sliding-mode control of a tractor–trailer system,” Syst. Sci. Control Eng., vol. 2, no. 1, pp. 168–174, Dec. 2014.
12
[13] K. Zhuang, K. Zhang, H. Su, and J. Chu, "Terminal sliding mode control for high-order nonlinear dynamic systems," Journal of Zhejiang University, vol. 36, no. 5, pp. 482- 485, 2002.
13
[14] Y. Wu, X. Yu, and Z. Man, "Terminal sliding mode control design for uncertain dynamic systems," Systems and Control Letters vol. 34, no. 5, pp. 281–288, 1998.
14
[15] Y. TANG, “Terminal sliding mode control for rigid robots,” Automatica, vol. 34, no. 1, pp. 51–56, 1998.
15
[16] X. H. Yu and Z. H. Man, "Fast terminal sliding-mode control design for nonlinear dynamical systems, fundamental theory and applications," IEEE Trans. on Circuits and Systems, vol. 49, no. 2, pp. 261-264, 2002.
16
[17] H. K. Khalil and J. W. Grizzle, Nonlinear systems, vol. 3. Prentice hall Upper Saddle River, 2002.
17
[18] S. P. Bhat and D. S. Bernstein, “Finite-time stability of continuous autonomous systems,” SIAM J. Control Optim., vol. 38, no. 3, pp. 751–766, 2000.
18
[19] W. Lan, B. M. Chen, and Y. He, “On improvement of transient performance in tracking control for a class of nonlinear systems with input saturation,” Syst. Control Lett., vol. 55, no. 2, pp. 132–138, Feb. 2006.
19
ORIGINAL_ARTICLE
Market Based Analysis of Natural Gas and Electricity Export via System Dynamics
By increasing the extraction of natural gas, its role in the restructured power systems is being expanded, due to its lower pollution. Iran has the second largest reserves of natural gas in the world and exports it to different countries. This paper represents long run analysis of natural gas export from Iran to Turkey as a case study, considering direct transfer and exporting via the power market. In this regard, a system dynamics model is approached for long run analysis of the considered scenarios. The uncertainty of natural gas price is modeled by Markov Chain Monte Carlo (MCMC) for a long run period and four generation technologies including coal-fired, combined cycle gas turbine (CCGT), gas turbine (GT) and wind participate in the power market with a uniform price structure. The published data by energy information administration (EIA) about natural gas charges, costs of electricity generation and export of natural gas and electricity are applied in the simulated models. The results show that exporting the natural gas at real time price is profitable, while its conversion into electricity and exporting at market price is disadvantageous, even by expanding the renewable resources.
http://jecei.sru.ac.ir/article_692_0c3e8d181f5bf42d5663a391ca1df024.pdf
2017-10-01T11:23:20
2018-07-21T11:23:20
109
120
Natural gas
Electricity export
Power market
System dynamics
Markov Chain Monte Carlo
Ali
Movahednasab
movahednasabali@gmail.com
true
1
Shahid Bahonar University of Kerman, Kerman, Iran
Shahid Bahonar University of Kerman, Kerman, Iran
Shahid Bahonar University of Kerman, Kerman, Iran
AUTHOR
Masoud
Rashidinejad
true
2
Shahid Bahonar University of Kerman, Kerman, Iran
Shahid Bahonar University of Kerman, Kerman, Iran
Shahid Bahonar University of Kerman, Kerman, Iran
AUTHOR
Amir
Abdollahi
a.abdollahi@uk.ac.ir
true
3
Shahid Bahonar University of Kerman, Kerman, Iran
Shahid Bahonar University of Kerman, Kerman, Iran
Shahid Bahonar University of Kerman, Kerman, Iran
AUTHOR
[1] A. Shaojie Cui, M. Zhao, and T. Ravichandran, “Market uncertainty and dynamic new product launch strategies: A system dynamics model,” IEEE Transactions on Engineering Management, vol. 58, no. 3, pp. 530-550, Aug. 2011.
1
[2] F. Olsina, F. Garce, and H.J. Haubrich, “Modeling long-term dynamics of electricity markets,” Energy Policy, vol. 34, no. 12, pp.1411-1433, 2006.
2
[3] M. Assili, M. Hossein Javidi D.B., and R. Ghazi, “An improved mechanism for capacity payment based on system dynamics modeling for investment planning in competitive electricity environment,” Energy Policy, vol. 36, no. 10, pp. 3703-3713, 2008.
3
[4] M. Hasani-Marzooni and S.H. Hosseini, “Dynamic analysis of various investment incentives and regional capacity assignment in iranian electricity market,” Energy Policy, vol. 56, pp. 271–284, 2013.
4
[5] J.Y. Park, N.S. Ahn, Y.B. Yoon, K.H. Koh, and D.W. Bunn, “Investment incentives in the korean electricity market,” Energy Policy, vol. 35, no. 11, pp. 5819–5828, 2007.
5
[6] P. Ochoa, “Policy changes in the swiss electricity market: Analysis of likely market responses,” Socio-Economic Planning Sciences, vol. 41, no. 4, pp. 336–349, 2007.
6
[7] M. Hasani-Marzooni and S.H. Hosseini, “Dynamic interactions of tgc and electricity markets to promote wind capacity investment,” IEEE Systems Journal, vol. 6, no. 1, pp. 46-57, 2012.
7
[8] A. Forda, K. Vogstadb, and H. Flynn, “Simulating price patterns for tradable green certificates to promote electricity generation from wind,” Energy Policy, vol. 35, no.1, pp. 91-111, 2007.
8
[9] A. Ford, “Waiting for the boom: A simulation study of power plant construction in california,” Energy Policy, vol. 29, no. 11, pp. 847–869, 2001.
9
[10] A. Ford, “Boom and bust in power plant construction: Lessons from the california electricity crisis,” Journal of Industry, Competition and Trade, vol. 2, no.1-2, pp. 59-74, 2002.
10
[11] J.D.M. Bastidas, C.J. Franco, and F. Angulo, “ Delays in electricity market models,” Energy Strategy Reviews, vol. 16, pp. 24-32, 2017.
11
[12] M. Hasani-Marzooni and S.H. Hosseini, “Short-term market power assessment in a long-term dynamic modeling of capacity investment,” IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 626-638, 2013.
12
[13] D. Chattopadhyay, “Modeling greenhouse gas reduction from the australian electricity sector,” IEEE Transactions on Power Systems, vol. 25, no. 2, pp. 729-740, 2010.
13
[14] O. Tang and J. Rehme, “An investigation of renewable certificates policy in swedish electricity industry using an integrated system dynamics model,” International Journal of Production Economics, vol. 194, pp. 200-213, 2017.
14
[15] D. Blumberga, A. Blumberga, A. Barisa, and D. Lauka, “Modelling the latvian power market to evaluate its environmental long-term performance,” Applied Energy, vol. 162, pp. 1593-1600, 2015.
15
[16] D. Eager, B.F. Hobbs, and J.W. Bialek, “Dynamic modeling of thermal generation capacity investment: application to markets with high wind penetration,” IEEE Transactions on Power Systems, vol. 27, no. 4, pp. 2127-2137, 2012.
16
[17] S. Gary, E. R. Larsen, “Improving firm performance in out-of-equilibrium, deregulated markets using feedback simulation models,” Energy Policy, vol. 28, no. 12, pp. 845–855, 2000.
17
[18] A. Jokic, E.H. M. Wittebol, and P.P.J. Bosch, “Dynamic market behavior of autonomous network-based power systems,” International Transactions on Electrical Energy Systems, vol. 16, no. 5, pp. 533–544, 2006.
18
[19] A. Movahednasab, M. Rashidinejad, and A. Abdollahi, “A system dynamics analysis of the long run investment in market-based electric generation expansion with renewable resources,” International Transactions on Electrical Energy Systems, vol. 27, no. 8, 2017.
19
[20] N. Hary, V. Rious, and M. Saguan, “The electricity generation adequacy problem: Assessing dynamic effects of capacity remuneration mechanisms,” Energy Policy, vol. 91, pp. 113127, 2016.
20
[21] E. Hartvigsson, F. Riva, and J. Ehnberg, “Using system dynamics for power systems development in sub-saharan Africa,” Elkraft 2017, at Chalmers University of Technology, Gteborg, Sweden, May 2017.
21
[22] A. Ford, “System dynamics and the electric power industry,” System Dynamics Review, vol. 13, no. 1, pp. 57-85, 1997.
22
[23] J. Zambujal-Oliveira, “Investments in combined cycle natural gas-fired systems: A real options analysis,” Electrical Power and Energy Systems, vol. 49, pp.1-7, 2013.
23
[24] J. Gil, Á. Caballero, and A.J. Conejo, “CCGTs: The Critical Link Between the Electricity and Natural Gas Markets,” IEEE Power and Energy Magazine, vol. 12, no. 6, pp. 40-48, 2104.
24
[25] C.C. Weizsacker and J. Perner, “An integrated simulation model for european electricity and natural gas supply,” Electrical Engineering, vol. 83, no. 5, pp. 265-270, 2001.
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[26] D. Wang, J. Qiu, K. MENG, and Z. DONG, “Coordinated expansion co-planning of integrated gas and power systems,” Journal of Modern Power Systems and Clean Energy, vol. 5, no. 3, pp. 314–325, 2017.
26
[27] L.M. Abadie and J.M. Chamorro, “Monte Carlo valuation of natural gas investments,” Review of Financial Economics, vol. 18, no. 1, pp. 10–22, 2009.
27
[28] J. Muller, G. Hirsch, and A. Muller, “Modeling the price of natural gas with temperature and oil price as exogenous factors,” Springer Proceedings in Mathematics and Statistics, vol. 99, pp. 109–128, 2015.
28
[29] J.E. Bistline, “Natural gas, uncertainty and climate policy in the US electric power sector,” Energy Policy, vol. 74, pp. 433-442, 2014.
29
[30] A. Klimesova and T. Vaclavik, “Gas swing options: Introduction and pricing using monte carlo methods,” Acta Oeconomica Pragensia, vol. 24, no. 1, pp. 15–32, 2016.
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[31] J.D. Sterman, Business Dynamics: System Thinking And Modeling Complex World, MC Graw-HILL, ISBN 007238915X.
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[32] S. Stoft, Power System Economics Designing Markets for Electricity, IEEE Press & WILEY-INTERSCIENCE, 2002.
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[33] J.E. Gentle, Random Number Generation and Monte Carlo Methods, Springer, ISBN 0-387-0017-6.
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[34] J.Wagner and J. Mathur, Introduction to Wind Energy Systems: Basics, Technology and Operation, Springer, ISBN 978-3-642-32975-3.
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[35] “Projected costs of generating electricity,” International Energy Agency, 2010 Edition.
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[36] R. Tidball, J. Bluestein, N. Rodriguez and S. Knoke, “Cost and performance assumptions for modeling electricity generation technologies,” ICF International Fairfax, Virginia, November, 2010.
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[37] A. Sieminski, “Annual energy outlook 2015,” U.S. Energy Information Administration, May 2015.
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[38] J. Conti, “International energy outlook 2016,” U.S. Energy Information Administration, Washington DC 20585, May 2016.
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[40] S. Macmillan, A. Antonyuk, and H. Schwind, “Gas to coal competition in the u.s. power sector,” International Energy Agency, May 2013.
40
ORIGINAL_ARTICLE
A 12 bit 76MS/s SAR ADC with a Capacitor Merged Technique in 0.18µm CMOS Technology
A new high-resolution and high-speed fully differential Successive Approximation Register (SAR) Analog to Digital Converter (ADC) based on Capacitor Merged Technique is presented in this paper. The main purposes of the proposed idea are to achieve high-resolution and high-speed SAR ADC simultaneously as well. It is noteworthy that, exerting the suggested method the total capacitance and the ratio of the MSB and LSB capacitor are decreased, as a result, the speed and accuracy of the ADC are increased reliably. Therefore, applying the proposed idea, it is reliable that to attain a 12-bit resolution ADC at 76MS/s sampling rate. Furthermore, the power consumption of the proposed ADC is 694µW with the power supply of 1.8 volts correspondingly. The proposed post-layout SAR ADC structure is simulated in all process corner condition and different temperatures of -50℃ to +50℃, and performed using the HSPICE BSIM3 model of a 0.18µm CMOS technology.
http://jecei.sru.ac.ir/article_693_c4392478b045ce832807d4016ff11442.pdf
2017-10-01T11:23:20
2018-07-21T11:23:20
121
130
10.22061/jecei.2017.693
ADC
Comparator
DAC
High-Resolution
High-speed
Power Consumption
Monte-Carlo
Sina
Mahdavi
true
1
Department of Microelectronics Engineering, Urmia Graduate Institute, Urmia, Iran
Department of Microelectronics Engineering, Urmia Graduate Institute, Urmia, Iran
Department of Microelectronics Engineering, Urmia Graduate Institute, Urmia, Iran
LEAD_AUTHOR
[1] S. Liu, Y. Shen, and Z. Zhu, “A 12-bit 10 MS/s SAR ADC with high linearity and energy-efficient switching,” IEEE Transactions on Circuits and Systems, vol. 63, no. 10, pp. 1616 – 1627, 2016.
1
[2] C. Liu, M. Huang, and Y. H. Tu, “A 12 bit 100 MS/s SAR-assisted digital-slope ADC,” IEEE Journal of Solid-State Circuits, vol. 51, no. 12, pp. 2941-2950, 2016.
2
[3] Kh. Hadidi, “Data converter course notes,” Urmia University, Urmia, Iran, 2005.
3
[4] Y. Chung, M. Wu, and H. Li, “A 12-bit 8.47-fJ/conversion-step capacitor-swapping SAR ADC in 110-nm CMOS,” IEEE Transactions on Circuits and Systems, vol. 62, no. 1, pp. 10-18, 2015.
4
[5] Y. Chung, M. Wu, and H. Li, “A 14b 80 MS/s SAR ADC with 73.6 dB SNDR in 65 nm CMOS,” IEEE Journal of Solid-State Circuits, vol. 48, no. 12, pp. 3059-3066, 2013.
5
[6] Y. Song, Z. Xue, Y. Shiquan Fan, and L. Geng, “A 0.6-V 10-bit 200-kS/s fully differential SAR ADC with incremental converting algorithm for energy efficient applications,” IEEE Transactions on Circuits and System, vol. 63, no. 4, pp. 449-458, 2016.
6
[7] Y. Tao and Y. Lian, “A 0.8-V, 1-MS/s, 10-bit SAR ADC for multi-channel neural recording,” IEEE Transactions on Circuits and Systems, vol. 62, no. 2, pp. 366-375, 2015.
7
[8] S. Lei, D. Qinyuan, L. Chuangchuan, and Q. Gaoshuai, “Analysis on capacitor mismatch and parasitic capacitors effect of improved segmented-capacitor array in SAR ADC,” in Proc. Third International Symposium on Intelligent Information Technology Application, vol. 2, pp. 280-283, Shanghai, China, 2009.
8
[9] J. Wen, P. Hung Chang, J. Huang, and W. Lai, “Chip design of a 12-bit 5MS/s fully differential SAR ADC with resistor- capacitor array DAC technique for wireless application,” in Proc. IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), pp. 1-4, Ningbo, China, 2015.
9
[10] W. Lai, J. Huang, C. Hsieh, and F. Kao, “An 8-bit 2 MS/s successive approximation register analog-to-digital converter for bioinformatics and computational biology Application,” IEEE 12th International Conference on Networking, Sensing and Control (ICNSC), pp. 576-579, Taipei, Taiwan, 2015.
10
[11] W. Lai, J. Huang, T. Ye, and C.W. Shih “Integrated successive approximation register analog-to-digital converter for healthcare systems applications,” in Proc. 12th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT), pp. 1-3, Guilin, China, 2014.
11
[12] W. Lai, J. Huang, and W. Lin “1MS/s low power successive approximations register ADC for 67-fJ/conversion-step,” in Proc. 2012 IEEE Asia Pacific Conference on Circuits and Systems, pp. 260-263, Kaohsiung, Taiwan, 2012.
12
[13] P. Lee, J. Lin, and C. Hsieh, “A 0.4 V 1.94 fJ/conversion-step 10 bit 750 kS/s SAR ADC with input-range-adaptive switching,” IEEE Transactions on Circuits and Systems, vol. 63, no. 12, pp. 2149-2157, 2016.
13
[14] M. Kim, Y. Kim, Y. Kwak, and G. Ahn, “A 12-bit 200-kS/s SAR ADC with hybrid RC DAC,” in Proc. 2014 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), pp. 185-188, Ishigaki, Japan, 2014.
14
[15] S. Wong, U. Chio, Y. Zhu, S. Sin, S. Pan U, and R. Paulo Martins, “A 2.3 mW 10-bit 170 MS/s two-step binary-search assisted time-interleaved SAR ADC,” IEEE Journal of Solid-State Circuits, vol. 48, no. 8, pp. 1783-1794, 2014.
15
[16] M. Yoshioka, K. Ishikawa, T. Takayama, and S. Tsukamoto “A 10-b 50-MS/s 820µW SAR ADC with on-chip digital calibration,” IEEE Transactions on Biomedical Circuits and Systems, vol. 4, no. 6, pp. 410-416, 2010.
16
[17] Y. Chung, C. Yen, and M. Hsuan Wu, “A 24µW 12-bit 1-MS/s SAR ADC with two-step decision DAC switching in 110-nm CMOS,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 11, pp. 3334-3344, 2016.
17
[18] M. Yee Ng, “0.18um low voltage 12-bit successive-approximation-register analog-to-digital converter (SAR ADC),” in Proc. 3rd Asia Symposium on Quality Electronic Design (ASQED), pp. 277-281, Kuala Lumpur, Malaysia, 2011.
18
[19] W. Tseng, W. Lee, C. Huang, and P. Chiu, “A 12-bit 104 MS/s SAR ADC in 28 nm CMOS for Digitally-Assisted Wireless Transmitters,” IEEE Journal of Solid-State Circuits, vol. 51, no. 10, pp. 2222- 2231, 2016.
19
[20] S. Kazeminia and S. Mahdavi, “A 800MS/s, 150µV input-referred offset single-stage latched comparator,” in Proc. 23rd International Conference Mixed Design of Integrated Circuits and Systems, pp. 119-123, Lodz, Poland, 2016.
20
[21] S. Kazeminia, S. Mahdavi, and R. Gholamnejad, “Bulk controlled offset cancellation mechanism for single-stage latched comparator,” in Proc. 23rd International Conference Mixed Design of Integrated Circuits and Systems, pp. 174-178, Lodz, Poland, 2016.
21
[22] W. Xiong, Y. Guo, U. Zschieschang, H. Klauk, and B. Murmann, “A 3-V, 6-bit C-2C digital-to-analog converter using complementary organic thin-film transistors on glass,” IEEE Journal of Solid-State Circuits, vol. 45, no. 7, pp. 1380-1388, 2010.
22
[23] Kh. Hadidi, V. S. Tso, and G. C. Temes, “An 8-b 1.3-MHz successive approximation A/D Converter,” IEEE J. Solid-State Circuits, vol. 25, no. 3, pp. 880-885, June 1990.
23
[24] L. Cong, “Pseudo C-2C ladder-based data converter technique,” IEEE Trans. Circuits Syst. II, Analog Digital Signal Processing, vol. 48, no. 10, pp. 927-929, 2001.
24
[25] Y. M. Liao and T. C. Lee, “A 6-b 1.3Gs/s A/D converter with C-2C switch-capacitor technique,” in Proc. IEEE Int. Symp. on VLSI-DAT, pp. 1-4. Hsinchu, Taiwan, 2006.
25
[26] H. Kim, Y. Min, Y. Kim, and S. Kim, “A low power consumption 10-bit rail-to-rail SAR ADC using a C-2C capacitor array,” in Proc. IEEE Int. Conf. on EDSSC, pp. 1-4, Hong Kong, China, 2009.
26
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How to cite this paper:
30
S. Mahdavi, “A 12 bit 76MS/s SAR ADC with a capacitor merged technique in 0.18µm CMOS technology,” Journal of Electrical and Computer Engineering Innovations, vol. 5, no. 2, pp. 121-130, 2017.
31
DOI: 10.22061/JECEI.2017.693
32
URL: http://jecei.sru.ac.ir/article_693.html
33
[30] M. Taherzadeh-Sani, R. Lotfi, and F. Nabki, “A 10-bit 110 kS/s 1.16 muhbox {W} SA-ADC with a hybrid differential/single-ended DAC in 180-nm CMOS for multichannel biomedical applications,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 61, no. 8, pp. 584-588, 2014.
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[31] W. Lai, J. Huang, and C. Hsieh, “A 10-bit 20 MS/s successive approximation register analog-to-digital converter using single-sided DAC switching method for control application,” in Proc. CACS International Automatic Control Conference (CACS 2014), pp. 29-33, Kaohsiung, Taiwan, 2014.
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[32] S. Aghaie, J. Mueller, R. Wunderlich, and S. Heinen, “Design of a low-power calibrate-able charge-redistribution SAR ADC”, 10th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME), pp. 1-4 Grenoble, France, 2014.
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[33] R. Rajendran, P.V. Ramakrishna, “A design of 6-bit 125-MS/s SAR ADC in 0.13-µm MM/RF CMOS process”, in Proc. International Symposium on Electronic System Design (ISED), pp. 23-27, Kolkata, India, 2012.
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[34] S. P. Singh, A. Prabhakar, and A. B. Bhattcharyya, “C-2C ladder-based D/A converters for PCM codecs,” IEEE J. Solid-State Circuits, vol. SC-22, no. 6, pp.1197-1200, 1987.
38
ORIGINAL_ARTICLE
A Signal Processing Approach to Estimate Underwater Network Cardinalities with Lower Complexity
An inspection of signal processing approach in order to estimate underwater network cardinalities is conducted in this research. A matter of key prominence for underwater network is its cardinality estimation as the number of active cardinalities varies several times due to numerous natural and artificial reasons due to harsh underwater circumstances. So, a proper estimation technique is mandatory to continue an underwater network properly. To solve the problem, we used a statistical tool called cross-correlation technique, which is a significant aspect in signal processing approach. We have considered the mean of cross-correlation function (CCF) of the cardinalities as the estimation parameter in order to reduce the complexity compared to the former techniques. We have used a suitable acoustic signal called CHIRP signal for the estimation purpose which can ensure better performance for harsh underwater practical conditions. The process is shown for both two and three sensors cases. Finally, we have verified this proposed theory by a simulation in MATLAB programming environment.
http://jecei.sru.ac.ir/article_702_29c3a8be4fb287b117c12f4fc084e4b8.pdf
2017-10-01T11:23:20
2018-07-21T11:23:20
131
138
10.22061/jecei.2017.702
Bins
CHIRP signal
Cross-correlation
Underwater network cardinality (Node)
Mean
Shaik Asif
Hossain
asifruete@gmail.com
true
1
Department of Electronics and Telecommunication Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh
Department of Electronics and Telecommunication Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh
Department of Electronics and Telecommunication Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh
AUTHOR
Avijit
Mallik
avijitme13@gmail.com
true
2
Department of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh
Department of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh
Department of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh
LEAD_AUTHOR
Md. Arman
Arefin
true
3
Department of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh
Department of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh
Department of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh
AUTHOR
[1] M. Kodialam and T. Nandagopal, “Fast and reliable estimation schemes in RFID systems,” in Proc. 12th annual international conference on Mobile computing and networking, pp. 322-333, ACM, 2006.
1
[2] M.A. Bonuccelli, F. Lonetti, and F. Martelli, “Tree slotted ALOHA: a new protocol for tag identification in RFID networks,” In Proc. IEEE Computer Society 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks, pp. 603-608, 2006.
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[3] P. Xie, Cui, J. H., and L. Lao, “VBF: vector-based forwarding protocol for underwater sensor networks,” In Networking, vol. 3976, pp. 1216-1221, May 2016.
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[4] J. Shen, H.W. Tan, J. Wang, J.W. Wang, and S.Y. Lee, “A novel routing protocol providing good transmission reliability in underwater sensor networks,” 網際網路技術學刊, vol, 16, no. 1, pp. 171-178, 2015.
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[5] J. Ryu, H. Lee, Y. Taekyoung Kwon, and Y. Choi, “A hybridquery tree protocol for tag collision arbitration in RFID systems,” ICC, vol. 7, pp. 5981-5986, 2007.
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[6] J. Myung, W. Lee, and J. Srivastava, “Adaptive binary splitting for efficient RFID tag anti-collision,” IEEE Communications Letters, vol. 10, no. 3, pp. 144-146, 2006.
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[8] M.A. Bonuccelli, F. Lonetti, and F. Martelli, “Perfect tag identification protocol in RFID networks,” arXiv preprint arXiv:0805.1877, 2008.
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[10] C. Budianu and L. Tong, “Estimation of the number of operating sensors in sensor network, In Signals, Systems and Computers,” in Proc. 2004 Conference Record of the Thirty-Seventh Asilomar, vol. 2, pp. 1728-1732, 2003.
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[11] C. Budianu, and L. Tong, “Good-Turing estimation of the number of operating sensors: a large deviations analysis, in acoustics, speech, and signal processing,” in Proc. ICASSP'04 IEEE International Conference on, vol. 2, pp. ii-1029, 2004.
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[12] H. Vogt, “Efficient object identification with passive RFID tags,” in Proc. International Conference on Pervasive Computing, pp. 98-113, 2002.
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[14] Howlader, Md Shafiul Azam, M.R. Frater, and M.J. Ryan, “Estimating the number of neighbours and their distribution in an underwater communication network (UWCN),” in Proc. of Second International Conference on Sensor Technologies and Applications, Canberra, pp. 20-22, 2007.
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[15] Howlader, Md Shafiul Azam, M.R. Frater, and M.J. Ryan, “Estimation in underwater sensor networks taking into account capture,” in Proc. IEEE OCEANS 2007-Europe, pp. 1-6. 2007.
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[16] L. Lanbo, Z. Shengli, and C. Jun‐Hong, “Prospects and problems of wireless communication for underwater sensor networks,” Wireless Communications and Mobile Computing, vol. 8, no. 8 , pp. 977-994, 2008.
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[17] M.S. Anower, “Estimation using cross-correlation in a communications network,” PhD diss., Australian Defence Force Academy, 2011.
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[18] M.S. Anower, M.A. Motin, M.S. AS, and S.A.H. Chowdhury, “A node estimation technique in underwater wireless sensor network,” in Proc. IEEE International Conference on Informatics, Electronics & Vision (ICIEV), pp. 1-6, 2013.
18
[19] M.S. Anower, M.R. Frater, and M.J. Ryan, “Estimation by cross-correlation of the number of nodes in underwater networks,” in Proc. IEEE 2009 Australasian Telecommunication Networks and Applications Conference (ATNAC), pp. 1-6, 2009.
19
[20] S.A. Hossain, M.F. Ali, M.I. Akif, R. Islam, A.K Paul, and A. Halder, (2016, September). “A determination process of the number and distance of sea objects using CHIRP signal in a three sensors based underwater network,” in Proc. 2016 IEEE 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), pp. 1-6.
20
[21] S.A. Hossain, M.S. Anower, and A. Halder, “A cross-correlation based signal processing approach to determine number and distance of objects in the sea using CHIRP signal,” in Proc. IEEE 2015 International Conference on Electrical & Electronic Engineering (ICEEE), pp. 177-180, November, 2015.
21
[22] I.F. Akyildiz, D. Pompili, and T. Melodia, “Underwater acoustic sensor networks: research challenges,” Ad hoc networks, vol. 3, no. 3, pp. 257-279, 2005.
22
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23
ORIGINAL_ARTICLE
3-D RF Coil Design Considerations for MRI
High-frequency coils are widely used in medical applications, such as Magnetic Resonance Imaging (MRI) systems. A typical medical MRI includes a local radio frequency transmit/receive coil. This coil is designed for maximum energy transfer or wave transfer through magnetic resonance. Mutual inductance is a dynamic parameter that determines the energy quantity to be transferred wirelessly by electromagnetic coupling. Thus, it is essential to analyze the self and mutual inductances of this coil. Other parameters, including electromagnetic shielding, frequency, and distance, which influence voltage and power transfer are investigated here. Theoretical formulas and simulation models proposed in the present paper are implemented by using MATLAB and ANSYS MAXWELL and ANSYS SIMPLORER Finite Element (FE) packages for determining the performance and properties of the coil. So, the main goal is evaluating of software steps that simplify the design of RF resonance circuits. Also, experimental results are given for the validation of the proposed method. Consequently, Safety and efficiency are automatically maximized by following the best design considerations.
http://jecei.sru.ac.ir/article_718_889dd19891ca4c39009c38673e839797.pdf
2017-10-01T11:23:20
2018-07-21T11:23:20
139
148
10.22061/jecei.2017.718
Finite element method (FEM)
Magnetic resonance imaging (MRI)
Mutual inductance
Shielding effectiveness
MOHAMMADREZA
SHIRAVI
mshiravi@grad.kashanu.ac.ir
true
1
Department of Electrical Engineering
Department of Electrical Engineering
Department of Electrical Engineering
LEAD_AUTHOR
Babak
Ganji
bganji@kashanu.ac.ir
true
2
Department of Electrical Engineering, Kashan University, Kashan, Iran
Department of Electrical Engineering, Kashan University, Kashan, Iran
Department of Electrical Engineering, Kashan University, Kashan, Iran
AUTHOR
[1] E. Bratschun, D. Tait, and N. Moin, “Next-generation MRI scanner,” Colorado State University, Final Project Report, spring 2016.
1
[2] K. N. Bocan and E. Sejdic, “Adaptive transcutaneous power transfer to implantable devices: A state of the art review,” Sensors, vol. 16, no. 3, pp. 393, 2016.
2
[3] S. Y. R. Hui, W. Zhong, and C. K. Lee, “A critical review of recent progress in mid-range wireless power transfer,” IEEE Trans. Power Electronics, vol. 29, no. 9, pp. 4500–4511, 2014.
3
[4] D. Ahn and S. Hong, “Wireless power transmission with self-regulated output voltage for biomedical implant,” IEEE Trans. Ind. Electronics, vol. 61, no. 5, pp. 2225–2235, 2014.
4
[5] D. Ahn and S. Hong, “Wireless power transfer resonance coupling ampliﬁcation by load-modulation switching controller,” IEEE Trans. Ind. Electronics, vol. 62, no. 2, pp. 898–909, 2015.
5
[6] F. Rodes, M. Zhang, R. Denieport, and X. Wang, “Optimization of the power transfer through human body with an auto-tuning system using a synchronous switched capacitor,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 62, no. 2, pp. 129–133, 2015.
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[7] A. A. Danilov and E. A. Mindubaev, “Inﬂuence of angular coil displacements on effectiveness of wireless transcutaneous inductive energy,” Transmission Biomed. Eng., vol. 49, pp. 171–173, 2015.
7
[8] H. Li, J. Li, K. Wang, W. Chen, and X. Yang, “A maximum efﬁciency point tracking control scheme for wireless power transfer systems using magnetic resonant coupling,” IEEE Trans. Power Electronics, vol. 30, pp. 3998–4008, 2014.
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[9] M. S. Khoozani, H. M. Kelk, and A. S. Khoozani, “Comprehension of coils overlapping effect,” Open Access Library Journal, vol. 2, no. 1, e945, pp. 1-13, January 2015.
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[10] R. Dunne, “Electromagnetic shielding techniques for inductive powering applications,” Thesis, Galway University, Ireland, 2009.
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[12] S. C. Tang, S. Y. Hui, H. Shu, and H. Chung, “Evaluation of the shielding effects on printed-circuit-board transformers using ferrite plates and copper sheets,” IEEE Trans. Power Electronics, vol. 17, no. 6, pp. 1080-1088, July 2002.
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[13] R. P. Merril, A twenty-eight channel coil array for improved optic nerve imaging, The University of Utah, May 2010.
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[15] P. Rinck, Magnetic resonance, a critical peer-reviewed introduction, Internet: http://www.magnetic-resonance.org, 2016.
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[17] W. H. Yeadon and A.W. Yeadon, Handbook of small electric motors, McGraw-Hill, 2001.
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[18] M. T. Thompson, Inductance calculation techniques, Power Control and Intelligent Motion, December 1999.
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[19] H. B. Dwight, “Some new formulas for reactance coils,” Trans. Amer. Inst. Electr. Eng., vol. 8, no. 2, pp. 1675–1696, 1919.
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[21] W. G. Hurley, M. C. Duffy, J. Zhang, I. Lope, B. Kunz, and W. H. Wolﬂe, “A uniﬁed approach to the calculation of self- and mutual-inductance for coaxial coils in air,” IEEE Trans. Power Electronics, vol. 30, no. 11, pp. 6155-6162, November 2015.
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[22] C. Akyel, S. I. Babic, and M. Mahmoudi, “Mutual inductance calculation for non-coaxial circular air coils with parallel axes,” Progress In Electromagnetics Research, PIER., vol. 91, , pp. 287-301, April 2009.
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[23] S. I. Babic and C. Akyel, “Calculating mutual inductance between circular coils with inclined axes in air,” IEEE Trans. Magn. , vol. 44, no. 7, pp. 1743 – 1750, 2008.
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[24] C. Akyel, S. I. Babic, and M. M. Mahmoudi, “Mutual inductance calculation for non-coaxial circular air coils with parallel axes,” Progress in Electromagnetics Research, PIER 91, pp. 287–301, 2009.
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[25] M. R. Alizadeh Pahlavani and A. Shiri, “Impact of dimensional parameters on mutual inductance of individual toroidal coils analytical and finite element methods applicable to Tokamak reactors,” Progress in Electromagnetics Research B, vol. 24, pp. 63-78, 2010.
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[30] X. Liu, and S. Y. R. Hui, “An analysis of a double-layer electromagnetic shield for a universal contactless battery charging platform,” in Proc. 2005 IEEE 36th Power Electronics Specialists Conference, pp. 1767-1772, 2005.
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[32] T. P. Duong and J. W. Lee, “Experimental results of high-efficiency resonant coupling wireless power transfer using a variable coupling method,” IEEE Microw. Wireless Compon. Lett., vol. 21, no. 8, pp. 442–444, Aug. 2011.
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[33] A. Kurs, A. Karalis, R. Moffatt, J.D. Joannopoulos, P. Fisher, and M. Soljacic, “Wireless power transfer via strongly coupled magnetic resonances,” Science, vol. 317, pp. 83–86, Jul 2007.
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[34] T. Miyamoto, Y. Uramoto, K. Mori, H. Wada, and T. Hashiguchi: Wireless charging system, U.S. Patent Appl. 20 120 038 317, Feb. 2012.
34
[35] J. Edlinger and J. Steinschaden, “Simulation and Characterization of a Miniaturized Planar Coil,” Thesis, Vorarlberg University, Aug. 2009.
35
[36] C. L. Holloway, “Electromagnetic shielding: principles of shielding of planar materials and shielding of enclosures,” National Institute of Standards of Technology (NIST), U.S. Department of Commerce, July 2010.
36
[37] C. L. Zimmerman, “Low-field classroom nuclear magnetic resonance system,” Massachusetts Institute of Technology, Feb. 2010.
37
ORIGINAL_ARTICLE
Research on Color Watermarking Algorithm Based on RDWT-SVD
In this paper, a color image watermarking algorithm based on Redundant Discrete Wavelet Transform (RDWT) and Singular Value Decomposition (SVD) is proposed. The new algorithm selects blue component of a color image to carry the watermark information since the Human Visual System (HVS) is least sensitive to it. To increase the robustness especially towards affine attacks, RDWT is adopted for its excellent shift in-variance. In addition, the SVD technique can also ensure the robustness due to the eminent properties of singular values. It is worth mentioning that the watermark information is not processed by SVD in embedding procedure, which prevents the occurrence of false positive detection. Meanwhile, to acquire a balance between imperceptibility and robustness, various scaling factor values are used towards different sub-bands. Experimental results show that the proposed algorithm has outstanding security, imperceptibility and robustness.
http://jecei.sru.ac.ir/article_717_4836646c59bc960e5e7edd68db2d2c2f.pdf
2017-10-01T11:23:20
2018-07-21T11:23:20
149
156
10.22061/jecei.2017.2950.141
RDWT
DWT
SVD
HVS
Color watermarking algorithm
Yingshuai
Han
hanyssd@126.com
true
1
School of Information Science and Engineering, Rizhao Campus, Qufu Normal University, Rizhao City, Shandong Province, 276826, China
School of Information Science and Engineering, Rizhao Campus, Qufu Normal University, Rizhao City, Shandong Province, 276826, China
School of Information Science and Engineering, Rizhao Campus, Qufu Normal University, Rizhao City, Shandong Province, 276826, China
LEAD_AUTHOR
Xinchun
Cui
cuixinchun@qfnu.edu.cn
true
2
School of Information Science and Engineering, Rizhao Campus, Qufu Normal University Rizhao City, Shandong Province 276826, China
School of Information Science and Engineering, Rizhao Campus, Qufu Normal University Rizhao City, Shandong Province 276826, China
School of Information Science and Engineering, Rizhao Campus, Qufu Normal University Rizhao City, Shandong Province 276826, China
AUTHOR
Yusheng
Zhang
347231197@qq.com
true
3
School of Information Science and Engineering
Rizhao Campus, Qufu Normal University
Rizhao City, Shandong Province 276826, China
School of Information Science and Engineering
Rizhao Campus, Qufu Normal University
Rizhao City, Shandong Province 276826, China
School of Information Science and Engineering
Rizhao Campus, Qufu Normal University
Rizhao City, Shandong Province 276826, China
AUTHOR
Tingting
Xu
xutingtext@163.com
true
4
School of Information Science and Engineering
Rizhao Campus, Qufu Normal University
Rizhao City, Shandong Province 276826, China
School of Information Science and Engineering
Rizhao Campus, Qufu Normal University
Rizhao City, Shandong Province 276826, China
School of Information Science and Engineering
Rizhao Campus, Qufu Normal University
Rizhao City, Shandong Province 276826, China
AUTHOR
[1] B. U. Rani, B. Praveena B., and K. Ramanjaneyulu, “Literature review on digital image Watermarking,” in Proc. Int. Conf. on Advanced Research in Computer Science Engineering & Technology, ACM, pp. 43, 2015.
1
[2] X. P. Zhang and K. Li “Comments on: An SVD-based watermarking scheme for protecting rightful Ownership,” IEEE Trans. Multimedia, vol. 7, no. 3, pp. 593-594, 2005.
2
[3] K. Loukhaoukha, A. Refaey, and K. Zebbiche, “Comments on "A robust color image watermarking with singular value decomposition method," Adv. Eng. Software, vol. 42, pp. 44-46, 2016.
3
[4] N. M. Makbol and B. E. Khoo, “Robust blind image watermarking scheme based on redundant discrete wavelet transform and singular value decomposition,” AEU-International Journal of Electronics and Communications, vol. 67, no. 2, pp. 102-112, 2013.
4
[5] A. Z. Tirkel, G. Rankin, R. Van Schyndel, W. Ho, N. Mee, and C.F. Osborne, “Electronic watermark,” Digital Image Computing, Technology and Applications (DICTA’93), pp. 666-673, 1993.
5
[6] M. U. Celik, G. Sharma, A. M. Tekalp, and E. Saber, “Lossless generalized-LSB data embedding,” IEEE Trans. Image Process., vol. 14, no. 2, pp. 253-266, 2005.
6
[7] W. Bender, D. Gruhl, N. Morimoto, and A. Lu, “Techniques for data hiding,” IBM Systems Journal, vol. 35, no. 3.4, pp. 313-336, 1996.
7
[8] B. P. Kumari and V. S. Rallabandi, “Modified patchwork-based watermarking scheme for satellite imagery,” Signal Processing, vol. 88, no. 4, pp. 891-904, 2008.
8
[9] P. Campisi, D. Kundur, and A. Neri, “Robust digital watermarking in the ridgelet domain,” IEEE signal processing letters, vol. 11, no. 10, pp. 826-830, 2004.
9
[10] I.-H. Pan, P.S. Huang, and T.-J. Chang, “DCT-based watermarking for color images via two-dimensional linear discriminant analysis,” Information Technology Convergence, vol. 253, pp. 57-65, 2013.
10
[11] M. Urvoy, D. Goudia, and F. Autrusseau, “Perceptual DFT watermarking with improved detection and robustness to geometrical distortions,” IEEE Trans. Inf. Forens.. Security, vol. 9, no. 7, pp. 1108-1119, 2014.
11
[12] C.-C. Lai and C.-C. Tsai, “Digital image watermarking using discrete wavelet transform and singular value decomposition,” IEEE Trans. Instrum. Meas., vol. 59, no. 11, pp. 3060-3063, 2010.
12
[13] S. Lagzian, M. Soryani, and M. Fathy, “A new robust watermarking scheme based on RDWT-SVD,” International Journal of Intelligent Information Processing, vol. 2, no. 1.3, pp. 22-29, 2011.
13
[14] E. Ganic and A.M. Eskicioglu, “Robust embedding of visual watermarks using discrete wavelet transform and singular value decomposition,” Journal of Electronic Imaging, vol. 14, no. 4, pp. 043004-043009, 2005.
14
[15] J. George, S. Varma, and M. Chatterjee, “Color image watermarking using DWT-SVD and Arnold transform,” in Proc. IEEE Annual India Conf., pp. 1-6, Pune, India, 2014.
15
[16] T.D. Hien, Z. Nakao, and Y.-W. Chen, “Robust multi-logo watermarking by RDWT and ICA,” Signal Processing, vol. 86, pp. 2981-2993, 2006.
16
[17] A.K. Gupta and M.S. Raval, “A robust and secure watermarking scheme based on singular values replacement,” Sadhana, pp. 1-16, 2012.
17
ORIGINAL_ARTICLE
Design and Simulation of a Highly Efficient InGaN/Si Double-Junction Solar Cell
A solar cell is an electronic device which not only harvests photovoltaic effect but also transforms light energy into electricity. In photovoltaic phenomenon, a P-N junction is created to form an empty region. The presented paper aims at proposing a new highly efficient InGaN/Si double-junction solar cell structure. This cell is designed to be used in a real environmental situation, so only structural parameters are optimized. In the present structure, a thin layer of Cd-S is used as the anti-reflector window layer. The cell is simulated using ATLAS-SILVACO software and its maximum efficiency is computed to be 37.23%. Considering the supposed structure, the findings show that the efficiency of this solar cell, which is 37.32%, is so far the highest reported efficiency amongst all solar cells.
http://jecei.sru.ac.ir/article_743_aa85df8c5d353ca450fe79865c09455b.pdf
2017-10-01T11:23:20
2018-07-21T11:23:20
157
162
10.22061/jecei.2018.743
Solar cell
Double-junction solar cell
Efficiency
Real environmental situation
Seyed Milad
Ahmadi
true
1
Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
AUTHOR
Fariborz
Parandin
fparandin@iauksh.ac.ir
true
2
Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
LEAD_AUTHOR
[1] A. Becquerel, “Mémoire sur les effets électriques produits sous linfluence des rayons solaires,” Comptes Rendus, vol. 9, pp. 561-567, 1839.
1
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[12] S. W. Feng1, C. M. Lai , C. Y. Tsai, and L. Wei Tu, “Numerical simulation of the current-matching effect and operation mechanisms on the performance of InGaN/Si tandem cells,” Nanoscale Res. Lett., vol. 9, no. 652, pp. 1-10, 2014.
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15
ORIGINAL_ARTICLE
Alleviating the Small-Signal Oscillations of the SMIB Power System with the TLBO–FPSS and SSSC Robust Controller
Power systems are subjected to small–signal oscillations that can be caused by sudden change in the value of large loads. To avoid the dangers of these oscillations, the Power System Stabilizers (PSSs) are used. When the PSSs can not be effective enough, installation of the Thyristor–based compensators to increase the oscillations damping is a suitable method. In this paper, a Static Synchronous Series Compensator (SSSC) is used in Single–Machine Infinite–Bus (SMIB). To control the signal of the output voltage of SSSC, a robust controller is used. Also, we proposed a hybrid control method to adjust the PSS voltage using Teaching–Learning Based Optimization (TLBO) algorithm and Fuzzy Inference System (FIS). Objective functions of designing parameters are based on Integral of Time multiplied by Absolute value of the Error (ITAE). The time–variations of angular speed deviations are investigated in different modes, including: with SSSC/PSS, without SSSC/PSS, different input mechanical power, and different system parameters.
http://jecei.sru.ac.ir/article_789_67d118f0714dd281f5f3a025c51a17a3.pdf
2017-10-01T11:23:20
2018-07-21T11:23:20
163
170
10.22061/jecei.2017.789
Small–signal oscillations
Power system stabilizer
Static synchronous series compensator
Teaching–learning based optimization
Fuzzy inference system
Hossein
Shayeghi
hshayeghi@gmail.com
true
1
Department of Electrical Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
Department of Electrical Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
Department of Electrical Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
AUTHOR
Ali
Ahmadpour
a.ahmadpour@uma.ac.ir
true
2
AUTHOR
Elham
Mokaramian
e.mokarramian@uma.ac.ir
true
3
Department of Electrical Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
Department of Electrical Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
Department of Electrical Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
AUTHOR
[1] K. R. Padiyar, “FACTS Controllers in power transmission and distribution,” New Age International Publishers, pp. 1–6, 2007.
1
[2] G. Zareiegovar, H. Shayeghi, A. Sakhavati, and V. Nabaei, “A new scheme to control SSSC in interconnected power systems,” presented at the 9th Int. Conf. Environment and Elec. Eng. (EEEIC), Czech Republic: Prague, May 2010.
2
[3] A. Griffo and D. Lauria, “Two-Leg Three-Phase inverter control for STATCOM and SSSC applications,” IEEE Trans. Power Delivery, vol. 23, no. 1, pp. 361–370, Jan. 2008.
3
[4] H. Wang and W. Du, “Analysis and damping control of power system low-frequency oscillations,” Springer: Power Electronics and Power Systems, New York, 2016.
4
[5] X. P. Zhang, C. F. Xue, and K. R. Godfrey, “Modelling of the static synchronous series compensator (SSSC) in three-phase Newton power flow,” IET Proceedings-Generation Transmission and Distribution, vol. 151, no. 4, pp. 486–494, July 2004.
5
[6] M. Bongiorno, L. Angquist, and J. Svensson, “A novel control strategy for subsynchronous resonance mitigation using SSSC,” IEEE Trans. Power Delivery, vol. 23, no. 2, pp. 1033–1041, Apr. 2008.
6
[7] R. Thirumalaivasan, M. Janaki, and N. Prabhu, “Damping of SSR using subsynchronous current suppressor with SSSC,” IEEE Trans. Power System, vol. 28, no. 1, pp. 64–74, Feb. 2013.
7
[8] T. Rajaram, J. M. Reddy, and Y. Xu, “Kalman filter based detection and mitigation of subsynchronous resonance with SSSC,” IEEE Trans. Power System, vol. 32, no. 2, pp. 1400–1409, Mar. 2017.
8
[9] H. F. Wang, “Static synchronous series compensator to damp power system oscillations,” Electric Power Systems Research, vol. 54, no. 2, pp. 113–119, May. 2000.
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[10] S. R. Khuntia, S. Panda, “ANFIS approach for SSSC controller design for the improvement of transient stability performance,” Mathematical and Computer Modelling, vol. 57, no. 1, pp. 289–300, Jan. 2013.
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[11] M. Ebadian, H. R. Najafi, and R. Ghanizadeh, “Controller design of SSSC for power system stability enhancement,” Iranian Journal of Power Engineering (IJPE), vol. 1, no. 1, pp. 7–17, Jan. 2016.
11
[12] V. K. Tayal and J.S. Lather, “Reduced order H∞ TCSC controller & PSO optimized fuzzy PSS design in mitigating small signal oscillations in a wide range,” Electrical Power and Energy Systems, vol. 68, pp. 123–131, Jun. 2015.
12
[13] B. C. Pal, “Robust pole placement versus root-locus approach in the context of damping interarea oscillations in power systems,” IET Proc. Gener. Transm. Distrib., vol. 149, no. 6, pp. 739–745. Nov 2002.
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[14] R. Sadikovic, P. Korba, and G. Andersson, “Application of FACTS devices for damping of power system oscillations,” in Proc. IEEE Power. Tech Conf., St. Petersburg, Russia, June 2005.
14
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15
[16] H. Shayeghi, H. A. Shayanfar, and O. Abedinia, “Fuzzy PSS design for a multi-machine power system using improved genetic algorithm,” Computer Science and Engineering, vol. 2, no. 1, pp. 1–8, 2012.
16
[17] R. V. Rao, V. J. Savsani, and D. P. Vakharia, “Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems,” Computer-Aided Design, vol. 43, no. 3, pp. 303–315, Mar. 2011.
17
[18] R. V. Rao, V. J. Savsani, and D. P. Vakharia, “Teaching–Learning-based optimization: An optimization method for continuous non-linear large scale problems,” Information Sciences, vol. 183, no. 1, pp. 1–15, Jan. 2012.
18
[19] R. V. Rao, V. J. Savsania, and J. Balicb, “Eaching–learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems,” Engineering Optimization, vol. 44, no. 12, pp. 1447–1462, Dec. 2012.
19
[20] S. C. Satapathy, A. Naik, and K. Parvathi, “A teaching learning based optimization based on orthogonal design for solving global optimization problems,” Springer Int. Publishing, pp. 2–12, Dec. 2013.
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[21] R. V. Rao, “Teaching-Learning-Based optimization algorithm,” Springer: International Publishing Switzerland, pp. 9–12, 2016.
21
[22] M. Clerc and J. Kennedy, “The particle swarm—explosion, stability, and convergence in a multidimensional complex space,” IEEE Trans. Evolutionary Computation, vol. 6, no. 1, pp. 58–73, 2002.
22
ORIGINAL_ARTICLE
Design of a Single-Layer Circuit Analog Absorber Using Double-Circular-Loop Array via the Equivalent Circuit Model
A broadband Circuit Analogue (CA) absorber using double-circular-loop array is investigated in this paper. A simple equivalent circuit model is presented to accurately analyze this CA absorber. The circuit simulation of the proposed model agrees well with full-wave simulations. Optimization based the equivalent circuit model, is applied to design a single-layer circuit analogue absorber using double-circular-loop array. Simple guidelines for designing the CA absorber are then formulated. It is demonstrated that the fractional bandwidth of 125.7% is realized for at least 10 dB reflectivity reduction with angular stability to 40˚ for both TM and TE modes. The total thickness of the absorber design is 0.093λL at the lowest operating frequency.
http://jecei.sru.ac.ir/article_790_0955a9001c5e94f32e75d1ec1adba140.pdf
2017-10-01T11:23:20
2018-07-21T11:23:20
171
178
10.22061/jecei.2018.790
Frequency selective surfaces (FSS)
Circuit analogue (CA) absorber
Equivalent circuit model (ECM)
Double-circular –loop (DCL)
Angular stability
M
Basravi
true
1
Department of Electrical and Computer Engineering
Isfahan University of Technology, Isfahan 84156-83111, Iran
Department of Electrical and Computer Engineering
Isfahan University of Technology, Isfahan 84156-83111, Iran
Department of Electrical and Computer Engineering
Isfahan University of Technology, Isfahan 84156-83111, Iran
AUTHOR
Zaker Hossein
Firouzeh
zhfirouzeh@cc.iut.ac.ir
true
2
Dept. of Electrical & computer Eng.
Isfahan University of Technology
Dept. of Electrical & computer Eng.
Isfahan University of Technology
Dept. of Electrical & computer Eng.
Isfahan University of Technology
AUTHOR
M
Maddahali
true
3
Department of Electrical and Computer Engineering
Isfahan University of Technology, Isfahan 84156-83111, Iran
Department of Electrical and Computer Engineering
Isfahan University of Technology, Isfahan 84156-83111, Iran
Department of Electrical and Computer Engineering
Isfahan University of Technology, Isfahan 84156-83111, Iran
AUTHOR
[1] E. F. Knott, J. F. Shaeffer, and M. T. Tuley, Radar Cross Section, 2nd ed. Raleigh, NC, USA: SciTech, 2004.
1
[2] B. A. Munk, Frequency Selective Surfaces Theory and Design, New York, John Wiley & Sons Inc., 2000.
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8
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9
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14
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17
[18] A. Ramezani Varkani, Z.H. Firouzeh, and A. Zeidaabdi-Nezhad, "An Equivalent Circuit Model for Array of Circular Loop FSS Structures at Oblique Angles of Incidence," IET Microwaves, Antennas & Propagation., DOI: 10.1049/iet-map.2017.1004
18