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Prabakaran, R.
- WSN based Three-Dimensional Location Tracking Algorithm
Authors
1 M.E. Pervaisve Computing Technology, Anna University of Technology, Tiruchirappalli, Tamil Nadu, IN
2 Department of Electrical and Electronics Engineering, Anna University of Technology, Tiruchirappalli, Tamil Nadu, IN
3 Computing Technology, Anna University of Technology, Tiruchirappalli, Tamil Nadu, IN
Source
Wireless Communication, Vol 2, No 4 (2010), Pagination:Abstract
Wireless Sensor Network based location tracking is lways a concerned area in shipping industry, construction and material location in stacks. The WSN based 3D location tracking algorithm can be used to track and analyze the possible location and it can identify the target object both in indoor and outdoor environmental area. The Received Signal Strength indication (RSSI) is useful for calculating the distance between transmitter and receiver. The location of the Transmitter is calculated with help of gradient descent method. This paper propose a WSN based 3D location tracking algorithm that can be used to gradually locate towards the exact location of the target object and enhancing management, safety for the shipping industries.Keywords
Wireless Sensor Network (WSN), RSSI, Three-Dimensional Location Tracking.
- Efficient Approach for Delay Analysis in Digital Circuits
Authors
1 Department of ECE, Tejaa Shakthi Institute of Technology for Women, Coimbatore, Tamilnadu-641659, IN
Source
Biometrics and Bioinformatics, Vol 10, No 2 (2018), Pagination: 37-40Abstract
In this article, a fully digital system to analysis setup/hold time delays in digital circuits is presented. The digital circuit classified as two types: 1.combinational circuit, 2.sequentialcircuit.The proposed system benefits from easy to modify design, lowpower, smallarea, and simplecircuits. Delay element in digital system is timer. Her delay is propagation and contamination delay and etc. Delay analyzed in Xilinx ISE 10.1 software and ncsim in cadence tool,
It is implemented in very large scale integration (VLSI).here I am using ISCAS 85/89 benchmark circuits. Analysis and compare the delay in combinational circuit and sequential circuit. The system continuously monitor and analysis any setup/hold time delay in the combinational/sequential data path.
Keywords
Combinational and Sequential Circuits, Hold Time, Setup Time, Timing Analysis, Digital VLSI Circuit.References
- T. Okumura and M. Hashimoto, “Setup time, hold time and clock-to-Q delay computation under dynamic supply noise,” in Proc. IEEE CICC, Sep. 19–22, 2010, pp. 1–4.
- M. Hashimoto, J. Yamaguchi, and T. Sato et al., “Timing analysis considering temporal supply voltage fluctuation,” in Proc. Asia and South Pacific Design Automation Conf. (ASP-DAC 2005), Jan. 18–21, 2005, vol. 2, pp. 1098–1101 .
- Y.-S. Su, W.-K. Hon and C.-C. Yang et al., “Clock skew minimization in multi-voltage mode designs using adjustable delay buffers,” IEEE Trans. Comput.Aided Des. Integer. Circuits Syst., vol. 29, no. 12, pp. 1921–1930, Dec. 2010.
- C.-C. Kao and K.-C. Lin, “Clock skew minimization with adjustable delay buffers restriction,” in Proc. IEEE Int. Symp. Next-Generation Electron. (ISNE), Feb. 25–26, 2013, pp. 321–324.
- W.-P. Tu, S.-H. Huang and H.-H. Lu, “PVT-variations-tolerant clock design using self-correcting adjustable delay buffers,” in Proc. 2014 Int. Symp. Next-Generation Electron. (ISNE), May 7–10, 2014, pp. 1–2.
- K.-H. Lim, D. Joe, and T. Kim, “An optimal allocation algorithm of adjustable delay buffers and practical extensions for clock skew optimization in multiple power mode designs,” IEEE Trans. computer.-Aided Des. Integer. Circuits Syst., vol. 32, no. 3, pp. 392–405, Mar. 2013.
- K. Chae and S. Mu, “A dynamic timing error prevention technique in pipelines with time borrowing and clock stretching,” IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 61, no. 1, pp. 74–83, Jan. 2014.
- V. S.Melikyan, A.S.Sahakyan, and A. H.Shishmanyan etc.,” Data-clock setup and hold times margins correction method in high speed serial links,” in Proc. Computer. Sci. Inf. Technol. (CSIT), Sep. 23–27, 2013, pp. 1–5.
- M. Sasaki, N. N. M. Khan, and K. Asada, “A circuit for on-chip skew adjustment with jitter and setup time measurement,” in Proc. IEEE Asian Solid State Circuits Conf. (A-SSCC), Nov. 8–10, 2010, pp. 1–4.
- Vehicle Location Estimation by Dead Reckoning Using Inertial Measurement Unit Sensor in MEMS
Authors
1 Department of ECE, Tejaa Shakthi Institute of Technology for Women, Coimbatore, Tamilnadu-641659, IN
2 Tejaa Shakthi Institute of Technology for Women, Coimbatore, Tamilnadu-641659, IN
Source
Networking and Communication Engineering, Vol 10, No 2 (2018), Pagination: 28-30Abstract
This paper presents estimation of vehicle location by accurate determination of its attitude using low cost MEMS inertial measurement unit (IMU) sensor. This comprises of tri-axial gyroscope and a tri-axial accelerometer. Because of drift problem low-cost MEMS gyro cannot be used. An accelerometer is used to correct this drift problem. However this is not possible because accelerometer measurements are corrupted by external accelerations produced due to vehicle movements. In this paper we show that vehicle kinematics allow the removal of external acceleration from the lateral and vertical axis accelerometer measurements. A adaptive Filter is designed for the conjunction of accelerometer and gyroscope to accurately determine the attitude of vehicle. The proposed filter is able to maintain sub-degree estimation accuracy even under severe and prolonged dynamic condition.
Keywords
Attitude Estimation, Vehicle Attitude, MEMS IMU, External Acceleration.References
- V.Agarwal, H.Arya, S. Bhakthavatsala, ‘ Design and development of a Real-time DSP and FPGA- Based integrated GPS-INS system for compact and Low Power Application’ IEEE Transaction on a aerospace and electronic system, Vol. 45, No.2, April 2009.
- Jiwon J.oh and Seibum B.Choi, Member, IEEE, Dec 12 ‘Vehicle velocity observer design using 6-D IMU and Multiple-observer approach’ IEEE Transaction on Intelligent Transportation System, Vol. 13, No.4.
- Hamad Ahmed, M. Tahir, ‘Terrain based vehicle localization using low cost MEMS IMU sensor’ IEEE 83rd Vehicle Technology Conference, (VTC spring) May 2016.
- Farid Gulmammadov, ‘Analysis, Modeling and Compensation of Bias Drift in MEMS Inertial Sensors’ IEEE 4th International Conference, (RAST) June 2009.
- D.Chattaraj, K.B.M.Swamy and S.Sen, ‘Design and Analysis of Dual Axis Accelerometer’ Physics of Semiconductor Devices, 2007.
- Zenming zaho, weidong xiang, Paul Richardson, ‘Vehicle lateral Control and Yaw Stability Control through Differential Braking’ Industrial Electronics, 2006 IEEE International Symposium, 9-13 July 2006.
- J.Tiemen, J.Schmalzen, R.Krchnavek, ‘Design of a MEMS based, 3-axis accelerometer smart sensor’ Sensors for Industry Conference, 2002. 2nd ISA/IEEE, 19-21 Nov 2002.
- Sohiel azimi, Abdul QaderAshan Qureshi, Fatmeh Edalatfar, ‘Design, Fabrication and Characterization of a high performance MEMS accelerometer’ SENSORS, 2016 IEEE 30 Oct- 3 Nov 2016.