Special Issue No. – 2, August, 2019

Abstract:

Video are degraded through Impulse Noise (salt and pepper noise- SPN). This methodology that produces the noisy to noise free video frames. Median filters are recognized for their ability to eliminate impulse noise and protects original type. This system is to differentiate between noisy pixels and therefore the noisy free pixels. We have projected an algorithm known as modified Cascaded filter (MCF) algorithm for the restoration of color or gray scale video frames which could be significantly degraded by using salt and pepper noise. This planned algorithmic rule indicates higher results than few best algorithms. To verify the algorithmic rule with varied color video frames and it offers higher outcome with high IEF and PSNR.

Keywords:

Noise Elimination,MCF,IEF,PSNR,

Refference:

I. AstolaJ.andP.Kuosmanen, Fundamentals of Non-Linear Digital Filtering,
BocRaton, CRC, 1997.
II. Cyriac, Marykutty; Karthik, B; , Detection of Optical Disc and Exudates in
Colour Fundus Images, Indian Journal of Science and Technology, V-8, I-32, pp-
, 2015.
III. KarthikB, TVUK Kumar, MA Dorairangaswamy, E Logashanmugam, “Removal
of High Density Salt and Pepper Noise Through Modified Cascaded Filter”,
Middle East Journal of Scientific Research, 20(10),pp 1222-1228, 2014.
IV. KarthikB, TVUK Kumar, “Noise Removal Using Mixtures of Projected Gaussian
Scale Mixtures”, World Applied Sciences Journal, 29(8), pp 1039-1045, 2014.
V. Kumar, TVU Kiran; Karthik, B; Kumaran, E Bharath; , Visual Secret Sharing
Scheme for JPEG Compressed Images, Middle-East Journal of Scientific
Research, V-12, I-12, pp-1873-1880, 2012.

VI. Karthik, B; Kirankumar, TVU; Raj, M Sundar; BharathKumaran, E; , Simulation
and Implementation of Speech Compression Algorithm in VLSI, Middle-East
Journal of Scientific Research, V-20, I-9, pp-1091-1092, 2013.
VII. Pitas I. and A.N.Venetsanopoulous, Non-linear Digital Filter Principles and
Applications, (Boston: Kluwer Academic publishers, 1990).
VIII. PrattW.K., Digital Image Processing (New York: Wiley 1978).
IX. RemziOten and Rui J. P. de Figueiredo, “Adaptive alpha-trimmed mean filters
under deviations from assumed noise model,” IEEE Tran.on Image Processing,
vol. 13, no. 5, pp. 627-639, 2004
X. Srinivasan E.andD.Ebenezer, “A New Class of Midpoint Type Non-linear Filters
for Eliminating Short and Long Tailed Noise in Images, Third International
Symposium on Wireless Personal Multimedia Communication, November 2000,
Bangkok, Thailand.
XI. VeerakumarT., S. Esakkirajan, IlaVennila, “Combined Fuzzy Logic and
Unsymmetric Trimmed Median Filter Approach for the Removal of High
Density Impulse Noise”, WSEAS Transactions on Signal Processing, Issue 1,
Volume 8, January 2012.
XII. Yi Hong, Sam Kwong, Hanli Wang, “Decision-Based Median Filter Using KNearest
Noise-Free Pixels” IEEE ICASSP 2009

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Abstract:

Geospatial data differ accurately and precisely in the attributes as well as their temporal and spatial dimensions. The two approaches proposed for are road extraction based on Normalized Difference Vegetation Index (NDVI) and Fuzzy c means clustering. Image-based and vector-based algorithms are integrated for conflation. Road Intersections and Terminations of different types of are automatically detected by spatial contextual measure extraction algorithm. Iterative Relaxation Algorithm (IRA) is especially used point matching based at the comparative distance records in among the points. The Vector Road Intersections that is coordinated to removed factor sets by way of a Relaxation-Labeling Algorithm. A Rubber-sheeting Transformation is a neighborhood affined ameliorations, which splits the map parts into small sections and implemented nearby modifications on every piece, also preservative topology in the route. At the end of Rubber-Sheeting Transform there can be misalignment that's befell inside the Road segments. In order to clear up this trouble an energetic Contour Model (snake) that is used to address the outstanding dislocation mistakes. Road network extraction is analyzed and compared based on NDVI and Fuzzy C means clustering .This method can be extended for more information.

Keywords:

Normalized Difference vegetation index,Geographic information system,Fuzzy C means clustering,

Refference:

I. Barzohar M. and D. B. Cooper, “Automatic finding of main roads in aerial
images by using geometric-stochastic models and estimation,” IEEE Trans.
Pattern Anal. Mach. Intell., vol. 18, no. 7, pp. 707–721, Jul. 1996.
II. Cobb M. A., M. J. Chung, H. Foley, F. E. Petry, and K. B. Shaw, “A rule-based
approach for the conflation of attributed vector data,” Geoinformatica,vol. 2, no.
1, pp. 7–35, Mar. 1998.
III. Dolphin Kiruba D., Karthik B., Development of period extension and
randomness using RM-PRNG, International Journal of Applied Engineering
Research, V-9, I-22, 6194-6201, 2014
IV. Filin S. and Y. Doytsher. “A Linear Conflation Approach for the Integration
Photogram metric Information and GIS Data”, International archives of
photogrammetry and remote sensing, Volume 33(B3/1): 282-288, 2000.
V. Karthik B., Kiran Kumar T.V.U., Authentication verification and remote digital
signing based on embedded arm (LPC2378) platform, Middle – East Journal of
Scientific Research, V-20, I-12, 2341-2345, 2014

VI. Karthik B., Arulselvi, Selvaraj A., Test data compression architecture for
lowpower vlsi testing, Middle – East Journal of Scientific Research, V-20, I-12,
2331-2334, 2014
VII. Karthik B., Arulselvi, Noise removal using mixtures of projected gaussian scale
mixtures, Middle – East Journal of Scientific Research, V-20, I-12, 2335-2340,
2014
VIII. Karthik B., Kiran Kumar T.V.U., Selvaraj A., Test data compression architecture
for lowpower VLSI testing, World Applied Sciences Journal, V-29, I-8, 1035-
1038, 2014
IX. Karthik B., Kiran Kumar T.V.U., Noise removal using mixtures of projected
gaussian scale mixtures, World Applied Sciences Journal, V-29, I-8, 1039-1045,
2014
X. Karthik B., Kumar T.K., Dorairangaswamy M.A., Logashanmugam E., Removal
of high density salt and pepper noise through modified cascaded filter, Middle –
East Journal of Scientific Research, V-20, I-10, 1222-1228, 2014
XI. Saalfeld A., “Conflation: Automated map compilation,” Int. J. Geograph.
XII. Walter V. and D. Fritsch, “Matching spatial data sets: A statistical approach,”
Int. J. Geograph. Inf. Sci., vol. 13, no. 5, pp. 445–473, Jul. 1999.

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Abstract:

The submerged perception circumstances cause incredible difficulties to the issue of article location from the low-goals submerged pictures. In this paper, we acquaint an effective strategy with improve the pictures caught submerged and corrupted in light of the medium dispersing and retention. It expands on the mixing of 2 pictures that are legitimately gotten from a shading redressed and white-adjusted adaptation of the first corrupted picture. In the wake of improving the submerged picture, plans to identify object that present in the submerged by utilizing novel edge saving and multiscale logical neural network. We concentrated for the most part on discovery of an item in the submerged that they are utilized to isolate them an article from the foundation by utilizing a mix of programmed difference extending pursued by picture number-crunching task, worldwide edge, and least channel. Our system could be a solitary picture approach that doesn't need particular equipment or information about the submerged conditions or scene structure. our upgraded pictures are described by better exposedness of the dull area, improved worldwide complexity and edge sharpness and our striking article recognition accomplishes both clear identification limit and multi-scale logical vigor at the same time in this manner accomplishes an enhanced presentation.

Keywords:

Underwater enhancement,Striking item revelation,edge safeguarding,multi-scale setting,RGB-D saliency identification,object cover,

Refference:

I. Y. Wei et al. (2015). “STC: A simple to complex framework for
weakly-supervised semantic segmentation.” [Online]. Available:
https://arxiv.org/abs/1509.03150
II. V. Mahadevanand N. Vasconcelos, “Saliency-based discriminant track- ing,” in
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2009, pp.1007–
1013.

III. S. Hong, T. You, S. Kwak, and B. Han, “Online tracking by learning
discriminative saliency map with convolutional neural network,” in Proc. Int.
Conf. Mach. Learn., 2015,pp. 597–606.
IV. B. Lei, E.-L. Tan, S. Chen, D. Ni, and T. Wang, “Saliency-driven image
classification method based on histogram mining and image score,” Pattern
Recognit., vol. 48,no.8, pp. 2567–2580,2015
V. B. Li, W. Xiong, O. Wu, W. Hu, S. Maybank, and S. Yan, “Horror image
recognition based on context-aware multi-instance learning,” IEEE Trans.
Image Process., vol. 24, no. 12, pp. 5193–5205, Dec. 2015.
VI. L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visual attention for
rapid scene analysis,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 11,
pp. 1254–1259, Nov. 1998
VII. L. Zhang, M. H. Tong, T. K. Marks, H. Shan, and G. W. Cottrell, “SUN: A
Bayesian framework for saliency using natural statistics,” J. Vis., vol. 8, no. 7,
p. 32,Dec. 2008.
VIII. N. Murray, M. Vanrell, X. Otazu, and C. A. Parraga, “Saliency esti- mation
using a non-parametric low-level vision model,” in Proc. IEEE Conf. Comput.
Vis. Pattern Recognit. (CVPR), Jun. 2011, pp. 433–440.
IX. Y. Zhai and M. Shah, “Visual attention detection in video sequences using
spatiotemporal cues,” in Proc. ACM MM, 2006, pp.815–824.
X. M.-M. Cheng, G.-X. Zhang, N. J. Mitra, X. Huang, and S.-M. Hu, “Global
contrast based salient region detection,” in Proc. CVPR, 2011, pp.569–582.
XI. A. Borji, M.-M. Cheng, H. Jiang, and J. Li. (2014). “Salient object detec- tion:
A survey.” [Online]. Available: https://arxiv.org/abs/1411.5878
XII. T. Liu, J. Sun, N.-N. Zheng, X. Tang, and H.-Y. Shum, “Learning to detect a
salient object,” in Proc. CVPR, Jun. 2007, pp.1–5.
XIII. K. Shi, K. Wang, J. Lu, and L. Lin, “Pisa: Pixelwise image saliency by
aggregating complementary appearance contrast measures with spatial priors,”
in Proc. CVPR, 2013, pp.2115–2122.
XIV. P. Jiang, H. Ling, J. Yu, and J. Peng, “Salient region detection by UFO:
Uniqueness, focusness and objectness,” in Proc. ICCV, 2013, pp.1976–1983.
XV. Y. Wei, F. Wen, W. Zhu, and J. Sun, “Geodesic saliency using back- ground
priors,” in Proc. ECCV, 2012,pp. 29–42.
XVI. W. Zhu, S. Liang, Y. Wei, and J. Sun, “Saliency optimization from robust
background detection,” in Proc. CVPR, 2014, PP 2814–2821.

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Abstract:

The fundamental target of this paper comprises of the domino rationale way and checking path. A fast wide range parallel contradicts that accomplishes high working frequencies throughout an account pipeline segment demeanor utilizing just three undemanding redundant CMOS-rationale module types. The three essential module types are isolated by D flip failure. The three element types are set in an exceedingly dull constitution in the tallying way and Domino Logic way. Enthusiastic domino rationale circuits are broadly utilized in present day computerized VLSI circuits. These dynamic circuits are utilized in superior structures. Along these lines simultaneously refreshing the tally state with a consistent deferral at all tallying way module regarding the clock edge. This construction is versatile to self-assertive portion counter widths utilizing just the three module types. The deferral counter is contained the underlying module admittance times only, three-info AND-entryway delay and a D-type flip-flop. The motivation behind the project is to diminish the Power utilization and CMOS Technology in the counter way and Domino rationale way by utilizing DSCH in Microwind Tool. The proposed Counter way is structured utilizing 0.10μm TSMC Digital cell library and its expended 0.215mW.

Keywords:

CMOS Parallel counter design,Domino logic,Counter path,

Refference:

I. B. Parhami,”Computer Arithmetic: Algorithms and HardwareDe-signs”,
London, U.K.: Oxford Univ. Press, 2000.
II. B. Razavi, RF Microelectronics,”Upper Saddle River”, NJ:Prentice-Hall,
1998.
III. C. Yeh, B. Parhami, Y. Wang,“Designs of counters with near minimal
counting/sampling period and hardware complexity”, in Proc. Asilomar Conf.
Signals, Syst., Comput., 2000, pp.894-898.
IV. D. Zhang, G. Jullien, W. Miller, E. Swartzlander, “Arithmetic for digital
neural networks”, in Proc. IEEE 10th Symp. Comput. Arith., Jun. 1991, pp.
58-63.

V. D. R. Lutz, D. N. Jayasimha,“Programmable modulo-K counters”, IEEE
Trans. Circuits Syst. I, Fundam. Theory Appl., Vol. 43, No. 11, pp. 939-941,
Nov. 1996.
VI. D. C. Hendry,“Sequential lookahead method for digital counters”, IEEE
Electron. Lett., Vol. 32, No. 3, pp. 160-161, Feb. 1996.
VII. J. E. Vuillemin,“Constant time arbitrary length synchronous binary counters”,
in Proc. IEEE 10th Symp. Comput. Arith., 1991, pp.180-183.
VIII. K.Hwang,ComputerArithmetic;Pinciples,Architectures and Designs,New
Yok:Wisley,1979.
IX. M. D. Ercegovac, T. Lang,”Digital Arithmetic”, San Mateo,CA: Mogan Kauf
mann, 2004.
X. M. Ercegovac, T. Lang,“Binary counters with counting period of one half
adder independent of Counter size”, IEEE Trans.Circuits Syst., Vol. 36, No. 6,
pp. 924-926, Jun. 1989.
XI. M. Alioto, R. Mita, G. Palumbo,“Design of high-speed power-efficient MOS
current-mode logic frequency dividers”,IEEE Trans. Circuits Syst. II, Expr.
Briefs, Vol. 53, No. 11, pp. 1165-1169, Nov. 2006.
XII. N. Nikityuk,“Use of parallel counters for triggering nuclear instruments and
methods in physics research”, Vol. A321, No. 3, pp. 571-582, Oct. 1992.
XIII. Pramod Kumar Meher,“Extended Sequential Logic for Synchronous Circuit
Optimization and Its Applications”,Vol. 28, No. 4, pp. 469-477, April 2009.
XIV. R. H. Katz,”Contemporary Logic Design”, Redwood City, CA: Benjamin/
Cummings, 1994.
XV. Saleh Abdel-Hafeez, Member, IEEE, and Ann Gordon-Ross, Member, IEEE,
“A Digital CMOS Parallel Counter Architecture Based on State Look-Ahead
Logic” in IEEE transition on very large scale integration (VLSI).vol.19,pp.
1023-1033,2011.
XVI. S. Abdel-Hafeez, S. Harb, and W. Eisenstadt, “High speed digital CMOS
divide-by-N frequency divider” in Proceedings IEEE Int. Symp.Circuits Syst.
(ISCAS), pp. 592–595,2008.

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Abstract:

In the data transformation in networks, the fast increase in thedevelopment, fast growth in the amount of the basestations, and power utilization in the rapid growth ofinformation technology the spending expenditure is increasing. In the network environment many organizations are viewing the data storage, techniques thereby to optimizethe powersaving system. Data replicationtechnique to minimize the storage system can vital role in minimizedata, thereby optimizepowerusage alsominimizeheat loss. Data replication can reduce disks numbers used in the work to optimize disk power usagerate. By analyzing the data replication strategy,processes, and methodology for the further process lay the base of the work.

Keywords:

Data Replication,Power rate,Disk number,powerstorage,

Refference:

I. Baentsch M., Molter G. and Sturm P. (1996). Introducing Application-level
Replication and Naming into today’s Web, International Journal of
Computer Networks and ISDN Systems, 28(7), 921-930.
II. Bell W. H., Cameron D. G., Carvajal-Schiaffino R., Millar A. P., Stockinger
K., Zini F. (2003). Evaluation of an Economy-Based File Replication
Strategy for a Data Grid, Proccedings of 3rd IEEE International Symposium
on Cluster Computing and the Grid (CCGrid), Tokyo Japan, May 2003,
IEEE Computer Society Press.
III. Bernstein P. A., Hadzilacos V. and Goodman N. (1987). Concurrency
Control and Recovery in Database Systems, Massachusetts, Addision-
Wesley Publishers.
IV. Bhagwan R., Moore D., Savage S., and Voelker G. M. (2002). Replication
Strategies for Highly Available Peer-to-Peer Storage, Proceedings of
International Workshop on Future Directions in Distributed Computing,
Italy, June 2002.
V. Birman K. P. and Joseph T. A. (1987). Reliable communication in the
presence of failures, ACM Transactions on Computer Systems, 5(1), 47-76.
VI. Carman M., Zini F., Serafini L. and Stockinger K. (2002). Towards an
Economy-Based Optimisation of File Access and Replication on a Data
Grid. Proceedings of the 1st IEEE/ACM International Conference on
Cluster Computing and the Grid (CCGrid), (pp: 340-345), Berlin, Germany,
May 2002, IEEE Computer Society Press.
VII. Cohen E., Shenker S. (2002). Replication Strategies in Unstructured Peer-to-
Peer Networks, Proceeding of Special Interest Group on Data
Communications (SIGCOMM), (pp: 177-190), Pittsburg, USA, August 2002.
VIII Cooper B. and Garcia-Molina H. (2002). Peer-to-peer data trading to
preserve information, ACM Transactions on Information Systems (TOIS),
20(2), April 2002, 133-170.
IX Domenici A., Donno F., Pucciani G., Stockinger H., Stokinger K. (2004).
Replica Consistency in a Data Grid, Nuclear Instruments and Methods in
Physics Research; Section A: Accelerators, Spectrometers, Detectors and
Associated Equipment, 534(1-2), November 2004, 24-28, Elsevier publisher.
X Dullmann D., Hosckek W., Jaen-Martinez J., Segal B., Samar A., Stockinger
H. and Stockinger K.(2001). Models for Replica Synchronisation and
Consistency in a Data Grid, Proceeding of 10th IEEE International
Symposium on High Performance and Distributed Computing (HPDC), (pp:
67-75), San Francisco, August 2001.
X1 Foster I.andKesselman C. (Ed.). (2004). The Grid: Blueprint for a New
Computing Infrastructure, Second Edition, Morgan Kaufmann Publishers, USA.
X11 Gray J., Helland P., O’Neil P., and Shasha D. (1996). The Dangers of
Replication and a Solution. Proceedings of International Conference on
Management of Data (ACM SIGMOD), (pp: 173-182), Montreal, Canada, June 1996.
XIII Helal A. A., Hedaya A. A. and Bhargava B. B. (1996). Replication
Techniques in Distributed Systems, Boston, Kluwer Academic Publishers.
XIV Khan S. U. and Ahmad I. (2004). Internet Content Replication: A Solution
from Game Theory (Technical Report CSE-2004-5), Department of
Computer Science and Engineering, University of Texas at Arlington.
XV Kistler J. J. and Satyanarayanan M. (1992). Disconnected Operation in the
Coda File System, ACM Transactions on Computer Systems, 10(1), 3-25.

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Abstract:

Carry Select Adder(CSA)has multiplexer and also Ripple Carry Adder(RCA).Logical operation in traditional CSLA and BEC depends on CSLA is used to analyze the dependence in data and logic operations which is redundant is identified. Operation speed is an constraint which is obtained when multipliers are designed. Electronic components require more battery backup. A proposed adder speeds 40% to 90%. The reported work decreases the area and delay by the use of 2:1 mux. And implement the result by using FPGA.

Keywords:

CSLA,delay performance,low power design,arithmetic unit,Area,

Refference:

I. A. P. Chandrakasan, N. Verma, and D. C. Daly, “Ultralow-power electron-ics
for biomedical applications,” Annu. Rev. Biomed. Eng., vol. 10, pp. 247–
274, Aug. 2008.
II. B. Ramkumar and H. M. Kittur, “Low-power and area-efficient carry-select
adder,” IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 20, no. 2,
III. B. Parhami, Computer Arithmetic: Algorithms and Hardware Designs, 2nd
ed. New York, NY, USA: Oxford Univ. Press, 2010.
IV. I.-C. Wey, C.-C. Ho, Y.-S. Lin, and C. C. Peng, “An area-efficient carry
select adder design by sharing the common Boolean logic term,” in Proc.
IMECS, 2012, pp. 1–4.
V. K. K. Parhi, VLSI Digital Signal Processing. New York, NY, USA: Wiley,
1998.
VI. O. J. Bedrij, “Carry-select adder,” IRE Trans. Electron. Comput., vol. EC-11,
no. 3, pp. 340–344, Jun. 1962.
VII. S. Manju and V. Sornagopal, “An efficient SQRT architecture ofcarry select
adder design by common Boolean logic,” in Proc. VLSI ICEVENT, 2013,
a. 1–5.
VIII. Y. Kim and L.-S. Kim, “64-bit carry-select adder with reduced area,”
Electron. Lett., vol. 37, no. 10, pp. 614–615, May 2001.
IX. Y. He, C. H. Chang, and J. Gu, “An area-efficient 64-bit square root carryselect
adder for low power application,” in Proc. IEEE Int. Symp.
CircuitsSyst., 2005, vol. 4, pp. 4082–4085.
a. 371–375, Feb. 2012.

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Abstract:

Theoretical RF circularly enraptured patch radio wire for viable correspondence to be plan utilizing Comsol multiphysics recreation programming and it is reproduced under different scope of working frequencies (433 MHz, 1.6 GHz and 2.45 GHz). Because of the reception apparatus' adaptability, power and light weight it can be effortlessly coordinated into garments. An impedance and radiation design as elements of recurrence for a circularly energized patch radio wire with a limited ground plane end a transmission line impedance 50 ohm coaxial food has leeway of minimal effort, little size and better execution is likewise accomplished. The trial results are to some degree better with the reenactment results gave by the Comsol multiphysics programming. The structure of the single conductive layer is basic and a solitary food to create roundabout polarization. The primary point of the undertaking is to coordinate patch radio wire into garments for medicinal application to screen the heart beats per minute. Photo plethysmograph (PPG) sensor is utilized to break down the blood stream rate which along these lines is used to gage the heart beat per minutes. The deliberate heart beats per minutes is transmitted and got by utilizing patch radio wire. At that point they got sign is send to portable through Global System for Mobile (GSM) modem. The heart beat rate esteem got in the portable as a message. The worth demonstrates a man heart beat rate is ordinary/basic.

Keywords:

Circular polarization,Comsol ultiphysics,textile antenna,single-feed,Photoplethysmograph,Global System for Mobile,

Refference:

[I] Chou C. C. Lin K. H. and Su H. L. (2007) ‘Broadband circularly polarized
crosspatch loaded square slot antenna’, Electron. Lett., Vol. 43, No. 9, pp.
485–486.
[II] Giddens H., Paul D. L., Hilton G. S. and McGeehan J. P. (2012) ‘Influence of
body proximity on the efficiency of a wearable textile patch antenna’, in
Proc. 6th Eur. Conf., Antennas Propag., pp. 1353–1357.
[III] Kaivanto, E. K., M. Berg, E. Salonen, and P. de Maagt, “Wearable circularly
polarized antenna for personal satellite communication and
navigation,” IEEE Trans. on Antennas and Propag., Vol. 59, No. 12, 4490-
4496, Dec. 201
[IV] Klemm M. and Troester G. (2006) ‘Textile UWB antennas for wireless body
area networks’, IEEE Trans., Antenna Propag., Vol. 54, No. 11, pp. 3192–
3197.
[V] Lui K. W., Murphy O. H. and Toumazou C. (2012) ‘32 W wirelesslypowered
sensor platform with 2-m range’, IEEE Sensors., Vol. 12, No. 6, pp.
1919–1924.
[VI] Masotti D., Costanzo A. and Adami S. ‘Design and realization of a wearable
multi-frequency RF energy harvesting system’, in Proc. 5th Eur. Conf.,
Antennas Propag.(2011), pp. 517–520.
[VII] Peter Csordàs, Balázs Scherer, “Development and Applications of A Home
Health Monitoring Device”, Proc. of International Carpathian Control
Conference ICCC’ , May 29-31(2006).

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Abstract:

The undertaking exhibits a programmed motion acknowledgment utilizing shape and surface investigation for human PC interface framework. The proposed framework will be utilized for executing different ongoing applications, for example, PC applications, robot control and auto controlling control through human motions. Programmed motion recognizable proof is done utilizing picture handling procedures, for example, Pre-preparing, Segmentation, Feature extraction and Classification. At first the motion formats are made as a source of perspective examples for programmed ID of info motion sort. At pre-handling stage, a procured picture from web camera will be used into picture resizing and dimensionality diminishment. After that, a picture division calculation called versatile thresholding is utilized here to stifle the foundation for distinguishing closer view object. From the divided item, composition and shape highlight are extricated to perceive the signal sort with help of formats. Here, Discriminative nearby twofold example is utilized to concentrate diverse article surface and edge shape highlight extraction process. Separating boondocks or outskirt from the surface composition brings extra unfair data in light of the fact that the limit contains the shape data. Alongside that, geometrical elements are additionally separated utilizing associated segment investigation.

Keywords:

Discriminative local binary pattern,Camera,Computer interface system,surface texture,

Refference:

I X. Bai and L. J. Latecki.Path similarity skeleton graphmatching. IEEE
Trans. on PAMI, 30:1–11, 2008.
II S. Belongie, J. Malik, and J. Puzicha. Shape matching and object
recognition using shape contexts. IEEE Trans. OnPAMI, 24:509–522, 2002.
III Q. Cai, D. Gallup, C. Zhang, and Z. Zhang. 3d deformable facetracking
with a commodity depth camera.In Proc. of IEEEECCV, 2010.
IV C. Chua, H. Guan, and Y. Ho. Model-based 3d hand postureestimation from
a single 2d image. Image and VisionComputing, 20:191 – 202, 2002.
V J.Davis, M.Shah. Recognizing hand gestures. In Proceedings of European
Conference on Computer Vision, ECCV: 331-340, 1994.
VI K. Grauman and T. Darrell.Fast contour matching usingapproximate earth
mover’s distance.In CVPR, 2004.
VII E. Keogh, L. Wei, X. Xi, S. Lee, and M. Vlachos.LbKeogh supports exact
indexing of shapes under rotation invariancewith arbitrary representations
and distance measures. In Proc.of 32th International Conf. on VLDB, 2006.
VIII R.Kjeldsen, J.Kender. Visual hand gesture recognition for window system
control, in IWAFGR: 184-188, 1995.
IX V.I. Pavlovic, R. Sharma, T.S. Huang. Visual interpretation of hand
gestures for human-computer interaction, A Review, IEEE Transactions on
Pattern Analysis and Machine Intelligence 19(7): 677-695, 1997.
X Starner, T. and Pentland. Real-Time American Sign Language Recognition
from Video Using Hidden Markov Models, TR-375, MIT Media Lab, 1995.
XI D.J.Turman, D. Zeltzer. Survey of glove-based input. IEEE Computer
Graphics and Application 14:30-39, 1994.

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Abstract:

The UHF RFID system removes the requirement for manual processes, by improving inventory visibility performs workflows automation but these RFID tags cannot perform well in the existence of metallic items. In this paper , a unique UHF RFID tag antenna which can be suitable for metallic objects is put forward. The micro strip antenna is composed of two substrates isolated by an air layer the upper substrates is implemented with a folded dipole and two slots inserted at the end of the dipole. Second substrate is double-faced, parallel bars and metal plane on upper and lower face respectively. The printed parallel bar is to enlarge the bandwidth of the antenna by employing multi resonant bands. The main aim of the proposed antenna is to improve the antenna gain and to bring the return loss better than -10dB.

Keywords:

Antenna,UHF,RFID,Substrate,Metallic objects,gain,

Refference:

I. Convective Heat Transfer [Online]. Accessible:
http://www.engineeringtoolbox.com/convective-heat-move d_430.html.
II. Deziel, Chris. Standard Indoor Door Sizes [Online]. Accessible:
http://homeguides.sfgate.com/standard-inside-entryway sizes-84805.html.
III. FengVa-bing. Modbus information correspondence executed by utilizing
sequential port correspondence technology[J]. Procedure Automation
Instrumentation,2016.
IV. GlassThickness[Online].Accessible:
http://www.dullesglassandmirror.com/private/glass_thickness.asp.
V. Lu Min, Li Zhen-hai, Ai-mu-la-jiang, et al. Modbus correspondence appear in
power gaining system[J]. Computerization in Water Resources and
Hydrology,2016Modbus-lDA, Modbus Application Protocol
Specification,2014
VI. Peng Dao-power, Zhang Hao, Li Hui, et al. Plan and utilization of ARM
inserted checking Platform dependent on Modbus protocol[J]. Electric Power
Automation Equipment,2016.
VII. Wang Li. Insistence of correspondence appear for Modbus RTU slave
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Abstract:

Waste management has turned into a challenge that is faced by the developing, developed and precocious countries. The three main entities that are involved from the overall waste management are users who generate waste, who collects the waste& city administration, stakeholders. The main aim is to set up an intelligent system to control the waste management that helps to notify the waste status in-time to collect the waste. At the same time the stakeholders knows about the type of waste in what quantity is coming up at what particular time in a timely fashion. We see it many times in our city trash cans or garbage cans placed in the public places are always overloaded. This results in unhealthiest environment for people as well as leave the place dirty. These situations can be avoided by implementing a project called smart waste and IoT waste Collection containers .These holders are interfaced with Microcontroller based framework with remote IR frameworks with focal framework that indicates current condition of waste using Wi-Fi. So the state will be refreshed on the html page. The majority of our own the task relies upon the activity of Wi-Fi module; fundamental for its usage. The primary target of this venture is to diminish assets and endeavours with progress of a savvy city vision.

Keywords:

IoT waste collection containers,WiFi,Microcontroller Based Framework,Arduino UNO,

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