Oct'19
The IUP Journal of Electrical and Electronics Engineering
Focus
Registration can be considered
as an optimization problem which helps in aligning sensed image and reference image. The paper, �Multiview Image Registration Employing Computationally Efficient Algorithm � LS-SVM�, by Sandip R Panchal, Jaymin K Bhalani and Vrushank H Gandhi, presents the Least Square-Support Vector Machine (LS-SVM) method based on statistical learning theory. It is demonstrated that global deformations can be well registered by LS-SVM-based multiview image registration.
Voltage and current reference circuits are used in microelectronics which generate a constant reference voltage and current for various components. The paper, �Low-Voltage and Wide-Temperature Range Voltage Reference�, by Gopal Agarwal and Ved Vyas Dwivedi, presents a design of low power and low voltage reference using the peaking current mirror circuit with MOSFETs. The circuit was designed and simulated using 180 nm CMOS technology modules, and the design is suitable for use in low-power and low-voltage applications.
Wireless Sensor Networks (WSNs) are networks with a huge number of sensor nodes connected through wireless nodes. WSNs are used in biodiversity mapping, intelligent buildings, precision agriculture, etc. Energy consumption depends on the data communication method. In the paper, �Energy-Efficient Approach for Data Transmission in WSN�, the authors, Anju Rani and Kusum Dalal, propose a new method of routing, using cache nodes, by employing clustering to improve network life.
Field Programmable Gate Arrays (FPGA) are preferred for modern circuit designs due to programmability in field, short turn-around time, etc. In FPGA placement, routing of a large number of logic devices is a challenging area. The paper, �Greedy Simulated Annealing for FPGA Placement�, by Jyoti Chugh, deals with FPGA placement using a probabilistic technique, called Simulated Annealing (SA) technique, to find the global optimum placement.
Various image processing techniques are used in biometric-based smart attendance system. In the paper, �Implementation of Smart Attendance Using Image Processing Techniques�, the authors, by J Bhaskara Rao, Navya Allamsetty, Sai Kishore Datti, Poojitha Jakkampudi and G Komal Kumar, propose an illumination invariant algorithm for improving the light intensity problem of surroundings.
Consulting Editor
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| Article | Price (₹) | ||
| Multiview Image Registration Employing Computationally Efficient Algorithm � LS-SVM |
100
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| Low-Voltage and Wide-Temperature Range Voltage Reference |
100
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| Energy-Efficient Approach for Data Transmission in WSN |
100
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| Greedy Simulated Annealing for FPGA Placement |
100
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| Implementation of Smart Attendance Using Image Processing Techniques |
100
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Multiview Image Registration Employing Computationally Efficient Algorithm � LS-SVM
Image registration is a fundamental image processing task to match and align physically two images which could have been imaged by different sensors, view angles and/or at different times. While registering the satellite images, there are several unique challenges like cloud pixels, noise in the images, systematic errors, multispectral images, terrain induced distortions, etc. Through image registration techniques, we are finding a proper geometric transform between two images that can align corresponding points in them. It is the foundation of applications, such as image fusion, medical image processing, remote sensing and threedimensional (3D) image reconstructions. Remote sensing is one of the fields that have benefited most from image registration technique for stitching the reference and sensed images to get a larger view of the scene. The paper presents the Least Square-Support Vector Machine (LS-SVM) which has very strong theoretical foundation based on statistical learning theory. The experimental results demonstrate that global deformations can be well registered by LS-SVM-based multiview image registration.
Low-Voltage and Wide-Temperature Range Voltage Reference
The paper presents a low power and low voltage reference using the peaking current mirror circuit with MOSFETs operated in the subthreshold region. The circuit was designed and simulated using 180 nm CMOS technology MOSFET models. At minimum supply voltage of 0.5 V, the reference voltage obtained was 342.41 mV. The circuit achieved a temperature coefficient of 21 ppm/�C, supply current of 218 nA current, and power supply noise rejection ratio of �26 dB at 1 KHz.
Energy-Efficient Approach for Data Transmission in WSN
In this paper, cache nodes are deployed in the networks based on the newly proposed routing protocol for gathering the data from nodes. MATLAB is used to find out the results. Several parameters are calculated to evaluate the outcomes. There are very few number of dead nodes and higher number of alive nodes as visualized by the proposed routing protocol and as depicted in the outcomes. It is also seen that the previously existing protocol transmitted less number of packets, and this rate increased when proposed routing protocol is applied.
Greedy Simulated Annealing for FPGA Placement
VPR tool provides high quality solution for FPGA but takes large CPU placement time. Placement strategy in VPR tool is based on Simulated Annealing (SA) algorithm. The paper finds a method using which the CPU placement time can be reduced by adding short-term memory, which is called Greedy Simulated Annealing (GSA) algorithm. The experimental results show that it reduces 80% CPU placement time by paying 2% placement quality.
Implementation of Smart Attendance Using Image Processing Techniques
Attendance maintaining system is a difficult process if it is done manually. The smart and automated attendance system for managing attendance can be implemented using various ways of biometrics. Face recognition is one of them. By using this system, the issue of fake attendance and proxies can be solved. In the previous face recognitionbased attendance systems, there were some disadvantages like intensity of light and head pose problems. To overcome these issues, various techniques like illumination invariant, Viola and Jones algorithm and Principal Component Analysis are used. The major steps in this system are detecting the faces and recognizing them. Then, a comparison of detected faces can be done by crosschecking with the database of student�s face. This smart system will be an effective way to maintain the attendance and records of students.