iosr-JECE   International Conference on RECENT TRENDS IN ENGINEERING AND MANAGEMENT

Abstract: The proposed system has implement the image processing knowledge and to improve the state of the art of Traffic Control System (TCS). Now a day, traffic problems are increased because of the presence of growing number of vehicles and limited resources provided by the current infrastructures. The purpose of the system is to help traffic engineers in the selection of the state of traffic control devices on real time, using data recorded by traffic detectors on motorways. This project also proposes to implement a real-time emergency vehicle revealing system. In case an crisis vehicle is detected, the traffic lane is given primacy over all the others. System is made more efficient with addition of intelligence in term of simulated vision, using image processing techniques to appraisal actual road traffic and compute time each request for every road before permitting the signal. System is crafty enough to provide priority to authorized emergency vehicles with the help of GSM at a particular intersection. If there is a high traffic, clear the vehicles in an alternate way by the use of image processing algorithm and also extend the signal time in case of emergency. This System also give the provision to reduce the traffic level by charitable the alert SMS to the nearest traffic control station. Based on the traffic level, if there is any chance, the traffic controller directs the vehicles towards the path which has the lowest traffic.
Keywords:- Artificial Intelligence, Image Processing, Edge Detection, Emergency Vehicle Detection, Intelligent Transportation System, GSM, Traffic Appearance Analysis, Traffic Information System

[1] Ahmed S. Salama, Bahaa K. Saleh, Mohamad M.Eassa, "Intelligent Cross Road Traffic Management System (ICRTMS)," 2nd Int. Conf.on Computer Technology and Development, Cairo, Nov 2010, pp. 27-31.
[2] B. Fazenda, H. Atmoko, F. Gu, L. Guan1 and A. Ball, "Acoustic Based Safety Emergency Vehicle Detection for Intelligent Transport Systems, "ICCAS-SICE, Fukuoka, Aug 2009, pp.4250-4255.
[3] Antonio Albiol, Laura Sanchis, Alberto Albiol, and José M. Mossi, "Detection of parked vehicles using spatiotemporal maps," IEEE. Trans. On intelligent transport systems, vol. 12, no, 4, Decemebr 2011.
[4] Alberto Broggi, Senior Member, IEEE, Pietro Cerri, Member, IEEE, Stefano Ghidoni, Member, IEEE, Paolo Grisleri, Member, IEEE, and Ho Gi Jung, Member, IEEE," A new Approach to Urban Pedestrian Detection for Automatic Braking," IEEE. Trans. On intelligent transport systems, vol.12, no,4, December 2009.
[5] M.Juneja, P. Sandhu, "Performance evaluation of edge detection techniques for images in spatial domain," Int. Journal of Computer Theory and Engineering, Singapore, vol. 1, no. 5, Dec 2009,pp. 1793-8201.
[6] K. Wang, Z. Li, Q. Yao, W. Huang, and F.Wang," An automated vehicle counting system for traffic surveillance," IEEE Int. Conf. on Vehicular Electronics and Safety, Japan, Dec 2007, pp. 1-6.
[7] Y. Wu, F. Lian, and T. Chang, "Traffic monitoring and vehicle tracking using roadside camera," IEEE Int. Conf. on Robotics and Automation, Taipei, Oct 2006, pp. 4631– 4636.
[8] K. Ranjini, A. Kanthimathi, Y. Yasmine, Design of Adaptive Road Traffic Control System through Unified Modeling Language,International Journal of Computer Applications(0975– 8887),Volume14– No.7, February 201
[9] Abdul Kareem, E.I. & Jantan, A. (2011). An Intelligent Traffic Light Monitor System using an Adaptive Associative Memory. International Journal of Information Processing and Management. 2(2): 23-39.
[10] R. Benenson, S. Petti, T. Fraichard, and M. Parent, "Towards urban driverless vehicles," International Journal of Vehicle Autonomous Systems, Volume 6, Number 1-2, pp.4-23, 2008.

Abstract: Liver vessel segmentation is known to be a challenging task due to the low contrast and the complex branching structure. The major blood vessels in liver are hepatic vein and portal vein. In this paper segmentation and 3D visualization of major blood vessels have been proposed. Preprocessing step is first performed in order to refine the tubular structures in the extracted liver region. Then, thresholding is applied in order to detect initial contour which is later used for the initialization of the localised region based active contour. Then 3D visualization of the entire segmented CT liver image is done for clear visualization of blood vessels.
Keywords:- liver blood vessel, median filter segmentation, , thresholding.3D reconstruction.

[1] Dirk Selle, Bernhard Preim*, Andrea Schenk, and Heinz-Otto Peitgen, "Analysis of Vasculature for Liver Surgical Planning", IEEE transactions on medical imaging, vol. 21, no. 11, November 2002.
[2] Do-Yeon Kim, "Hepatic vessel segmentation on contrast enhanced CT image sequence for liver transplantation planning", J. Biomedical Science and Engineering, 2013.
[3] Mamta Juneja,Rajni Mohana," An Improved Adaptive Median Filtering Method for Impulse Noise Detection" International Journal of Recent Trends in Engineering, Vol 1, No. 1, May 2009
[4] Shawn Lankton, Allen Tannenbaum," Localizing Region-Based Active Contours" IEEE Trans Image Process. November 2008.
[5] Michelle Doherty, Nicole Bordes, Thomas Hugh* and Bernard Pailthorpe," 3D Visualization of Tumours and Blood Vessels in Human Liver", VisLab and School of Physics, A28 ,The University of Sydney, NSW 2006, Australia.
[6] Oussema Zayane1, Besma Jouini1, Mohamed Ali Mahjoub," "Automatic liver segmentation method in CT images" Canadian Journal on Image Processing & Computer Vision Vol. 2, No. 8, December 2011.
[7] Yanfeng Shang*, Rudi Deklerck, Edgard Nyssen, Aneta Markova, Johan de Mey, Xin Yang, and Kun Sun, "Vascular Active Contour for Vessel Tree Segmentation", IEEE transactions on biomedical engineering, vol. 58, no. 4, April 2011.
[8] Yang Fei, Jong Won Park." Automatic Segmentation of Liver Blood Vessels Using Level Set Method", IEEE transactions on medical imaging, April 2008.
[9] Ya-Yun Cheng1, Hsiao-Mei Chang1, Hong-Ren Su1, Shang-Hong Lai1 , Kai-Che Liu, Chien-Hua Lin, "3D Liver Segmentation and Model Reconstruction from CT Images", May 2012 International Conference on Biomedical Engineering and Biotechnology.

Abstract: Coronary artery is one of the main arteries which supplies blood flow to the heart muscles. Interruption of blood flow to the coronary artery results in minimizing the function of the heart. So, accessing the condition of coronary artery is required for increasing importance in cardiovascular diagnosis, therapy planning and surgical verification. Various models are developed to access the condition of coronary artery. In this paper, mathematical model for coronary artery tree is proposed using topological analysis and finite element analysis. These analyses can be used to determine the structure of coronary artery tree and its abnormalities, which is used for the diagnosis and treatment of cardiac diseases.
Keywords:- ANSYS, FEM, Mathematical model, Stenosis, Topology.

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[9] Maartje C F Geven,Vincent N Boht‟el,Wilbert H Aarnoudse Petra M J van den Bergl,Marcel C M Rutten 1,Nico H J Pijls and Frans N van de Vosse, "A Physiologically representive in vitro model of the coronary circulation" Institute of Physics Publishing ,physiol,Measurements.Vol.25(2004)891-904.
[10] Mahdi Mazinani, S. D. Qanadli, Rahil Hosseini, Tim Ellis, Jamshid Dehmeshki, "A 3D Approachh for Extraction of the Coronary artery and Quantification of the Stenosis ", World Academy of Science, Engineering and Technology, 59, 2011.

Abstract: Smart grid is an electrical grid that uses information and communication platform .It improved the efficiency, reliability, economics and sustainability of the production and distribution of electricity. Wireless multimedia sensor networks (WMSNs) have been connected and intelligent monitoring system for smart grid. A radio or system that senses, and is aware of, its operational environment and can dynamically and autonomously adjust its radio operating parameters C.R network will provide high bandwidth to users via heterogeneous wireless sensor architecture .The heterogeneous characteristics of smart grid traffic including multimedia and proposed system a Dynamic traffic aware scheduling approach for CR communication infrastructure based smart grid system CR channel allocation to reduce traffic in C.R communication and solve a system utility optimization problem.
Keywords:- Cognitive radio, Dynamic traffic scheduling, Smart grid, utility optimization, WMSN

[1]. Ma.X, Li.H, and Djouadi.S, "Networked system state estimation insmart grid over cognitive radio infrastructures," 2011, pp. 1–5.
[2]. Ansari .C.L.N, "The progressive smart grid system from both powerand communication aspects," vol. 14,no. 3, pp. 799–821, 3rd quart., 2012
[3]. Ghassemi.A,Bavarian.S,andLampe.L,"Cognitive radio for smartgrid communications," in Oct. 2010, pp. 297–302.
[4]. Erol-Kantarci.M and .MouftahH.T, "Wireless multimedia sensor andactor networks for the next-generation power grid,"vol. 9, no. 4, pp.542–551, Jun.2011.
[5]. Ansari .C.L.N, "The progressive smart grid system from both powerand communication aspects," vol. 14,no. 3, pp. 799–821, 3rd quart., 2012.

Abstract: Breath tests are the non-invasive methods for clinical diagnosis of the tracheal diseases. The tracheal sound signal can be processed using several techniques for diagnostic information. Computerized analysis can facilitate the detection of changes in tracheal sound and storing. This may help in the diagnosis of tracheal disorders and treatment for a patients suffering from various tracheal diseases. This paper is intended to describe the potential applications of breathe pressure and sound signals measured using acoustic sensor from nostrils in diagnosing tracheal diseases using feature extraction and pattern recognition.
Keywords:- Breathe sound signals, Feature extraction, and Pattern recognition

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Abstract: In this paper, I have propose a Planar assumption algorithm. This algorithm to eliminate the haze and light scattering from underwater images. Light scattering is caused by light incident of object reflected and deflected many times by particles present in water before reaching the camera. This the process for turn lower visibility and color deviation of the image captured by camera. Color change caused by light travelling in the water for various wavelength. This paper propose a novel systematic approach to improve the underwater images PA algorithm.PA algorithm to perform the PSNR and MSE.PA algorithm result more efficient compare to (WCID)Wavelength compensation and image dehazing approach.
Keywords:- color change, light scattering, PA, underwater images, dehazi

[1] Carlevaris-Bianco.N, Mohan .A, and Eustice R.M, "Initial results in underwater single image dehazing," in Proc. IEEE OCEANS, 2010, pp. 1–8
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[5] Hou .W, Gray D.J, Weidemann A.D, Fournier G.R, and Forand J.L, "Automated underwater image restoration and retrieval of related optical properties," in Proc.IGARSS, 2007, vol. 1, pp. 1889–1892
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Abstract: IMAGE scaling is widely used in many fields, ranging from consumer electronics to medical imaging. In many practical real-time applications, the scaling process is included in end-user equipment, so a good lower complexity scaling technique, which is simple and suitable for low-cost VLSI implementation,is needed.here we proposed a low-complexity, low-memory requirement,and high-quality algorithm is proposed for VLSI implementation of an image scaling processor. The proposed Image scaling algorithm consists of a sharpening spatial filter, a clamp filter, and a bilinear interpolation.To reduce the blurring and aliasing artifacts produced by the bilinear interpolation,the sharpening spatial and clamp filters are added as prefilters. To minimize the memory buffers and computing resources here we use hybrid method to combine spatial and clamp filter. Hardware cost is reduced by reconfigurable unit but large numbers of adders are used. This will increase overall delay of the filter .in order to reduce the delay we propose high speed parallel prefix based link adder with high valency. The experimental results will demonstrate that the proposed design performs better than other lower complexity image scaling methods in terms of area and power overhead.
Keywords:- Clamp Filter(C),Image quality (IQ) ,Multiplier-Adder(MA),Reconfigurable calculation units (RCUs), Spatial Filter(S).

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Abstract: In medical field, surgery is incredibly necessary to save the human life. The electromyography neural monitoring system is employed to observe the neural signal throughout the surgery. This neural monitoring system is employed to avoid the nerve injury and conjointly helps doctors to regulate the surgery. This realization will be made on field programmable gate arrays. This technique consists of each an analog circuit and digital circuit. Signal capture and corresponding amplification units are realized by an analog circuit. Signal method, signal analysis and man –machine interface management units are realized by digital circuit. In this system, electromyogram signal is ascertain from muscle for the signal process. Electromyogram signal is recorded by secure digital card and SRAM. On surgery, doctor will get the data from the result analysis of this neural inspection system. The result notification is obtained by two methods--visual notification and alarm notification.
Keywords:- Preprocessing box, self-adaptive amplifier, digital filter, and secure digital card storage area unit.

Journal Papers: [1] V.T.Inman,H.J.Ralston,J.B.De,C.M.Saunders,B.Bertram Feinstein, and E. W. Wright, "Relation of human electromyogram to muscular tension," Electroencephalogr. Clin. Neurophysiol., vol. 4, no. 2, pp. 187–194, May 1952.
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Abstract: Performance of the MPSOCs and NOCs are increased by using SDRAMs, which is to increase parallelism, reusability & scalability. The memory system performance is increased by concentrating a large number of sensitive parameters such as SDRAM timing, memory controller policies and topologies. Besides, In-order delivery, resource exploitation and latency are the most decisive issues. In our present system novel network interface architecture (NI)is used to cope with these issues efficiently. Using resourceful reordering mechanism, In-order delivery, and the resource utilization is increased. The brilliant memory controller is integrated into the proposed NI and it is able to reorder memory to improve memory utilization and reduce both memory and network latencies and also by selecting accurate topology and switching techniques. OPEN CORE PROTOCOL (OCP) is used to bring compatibility with existing IP cores and NI. The proposed system is using FPGA for implement shared memory NOC multiprocessor system. The MPSOC have been validated and evaluated through actual implementation with matrix multiplication function. A Global Asynchronous Local Synchronous (GALS) design tactic have been adopted throughout the design cycle and browbeaten for clock trees designs.
Keywords: - Index Terms: GALS, NoC, Network interface, OCP, resourceful reordering mechanism

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