Research Cell: An International Journal of Engineering Sciences

Beant Kaur ¹, Amandeep Kaur ², Gurmeet Kaur ¹

Affiliations
1 Department of Electronics and Communication Engg., Punjabi University, Patiala, IN
2 Centre for Computer Science and Technology, Central University of Punjab, Bathinda, IN

Abstract

This paper aims to present a survey of different applications of image registration technique. Image registration is a pre-processing step for different applications. It consists of mainly four steps: feature detection, feature matching, transformation model estimation and image resampling and transformation. Image registration has wide applications in remote sensing, in medicine and agriculture using different methods and techniques, which have been presented in this paper.

Keywords

Image Registration, Feature Based Method, Area Based Method, Remote Sensing, Biomedical and Agriculture.

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Amandeep Kaur ¹, Reecha Sharma ¹

Affiliations
1 Department of ECE, Punjabi University, Patiala, IN

Abstract

Image fusion is a technique that extracts relevant information from two or more source images into single scene. It serve best in wide spectrum of applications i.e. medical diagnosis (Magnetic resonance image (MRI), Computed tomography (CT)), remote sensing, computer vision, robotics, microscopic imaging and to improve Enhanced Fight Vision System (EFVS), so it has been receiving attention of researchers. Image fusion is a new technique which can preserve important information and reduce amount of data for the purpose of human/ machine perception. This paper has been present literature review on various fusion techniques like principal component analysis, Wavelet transform and Laplacian pyramid and comparison of these techniques helps in selecting techniques in future research work.

Keywords

Image Fusion, Image Fusion Techniques, Wavelet Transform.

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Kamalpreet Kaur ¹, Amandeep Kaur ²

Affiliations
1 Computer Science Department, Centre of Computer Science and Technology, Punjabi University, Patiala, IN
2 Computer Science Department, School of Engineering and Technology, Punjabi University, Patiala, IN

Abstract

Images are used in many fields. One of the major issues of image is zooming. Zooming is used to increase the image resolution. Zooming is done through various interpolation methods. Interpolation is used for image scaling and zooming. Image zooming is process to extending an image to create a large image. There are several techniques of zooming. Wavelet transform is used due to the reason to obtain the image without distortion. This paper starts with the study of image zooming, their need and use of image zooming. This paper presents a review on different wavelet based interpolation techniques and their comparisons.

Keywords

Zooming, Interpolation, Wavelet Transform, Wavelet Based Interpolation, Zoomed Image.

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Beant Kaur ¹, Amandeep Kaur ², Gurmeet Kaur ¹

Affiliations
1 Department of Electronics and Communication Engg., Punjabi University, Patiala, IN
2 Centre for Computer Science and Technology, Central University of Punjab, Bathinda, IN

Abstract

This paper aims to present a survey of image registration technique. It is a procedure of mapping points from one image to corresponding points in another image. The image registration geometrically align the two images (one is reference and second is sensed image). The procedure of image registration consists of four steps: feature detection, feature matching, mapping function design and image transformation and resampling which are explained in Section V. The goal of image registration, algorithms and steps for image registration methods have been presented in this review paper.

Keywords

Image Registration, Feature Detection, Feature Matching, Feature Mapping, Resampling.

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Jaspreet Kaur ¹, Amandeep Kaur ²

Affiliations
1 Electronics and Communication Department, UCOE, Punjabi University, Patiala, Patiala, IN
2 Electronics and Communication Department, UCOE, Punjabi University, Patiala, IN

Abstract

Air dense wireless phone spectrum resources are insufficient, the traditional approach is to deploy additional ships (Bs), or offload some of the traffic onto Wi-Fi unlicensed band. A study to be run by a management algorithm for Tethering as a white -out. The iterative algorithm bunch of the hotspots of the slaves and their resources to maximize spectrum utility. It is estimated that the algorithm can effectively take advantage of TVWS spectrum, and receives a fixed amount of network resources, which increase the number of users.

Keywords

White-Space, Spectrum, User, Channel Allocation.

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Amandeep Kaur ¹, Kanwalvir Singh ¹

Affiliations
1 CSE, BBSBEC, Fatehgarh Sahib, Punjab, IN

Abstract

A relational database is a table-based system where there's no scalability, lowest data duplication, computationally overpriced table joins and issue in addressing complicated data. The matter with relations in relational database is that advanced operations with massive data sets quickly become prohibitively resource intense. Relational databases don't lend themselves well to the type of horizontal scalability that is needed for large -scale social networking or cloud applications. NoSQL has emerged as a results of the demand for relational database alternatives. The most important motivation behind NoSQL is scalability. NoSQL is supposed for the present growing breed of net applications that require to scale effectively. This paper analyzes the NoSQL databases that is the demand of the present large-scale social networking or cloud applications. We tend to additionally analyze the capabilities of assorted NoSQL models like BigTable, Cassandra, CouchDB, MongoDB and Couchbase.

Keywords

NoSQL, Scalability.

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Amandeep Kaur ¹, Pooja ¹, Manju Bala ¹

Affiliations
1 Department of CSE, CT Group of Institutions, Jalandhar, Punjab, IN

Abstract

Use of the decorated text is highly preferable in the area where the attention of viewers is required. The basic optical recognition systems do not give good results for the decorated inputs because the formation of decorated text is complex and different from the other regular fonts. Very less work has been done in the field of decorated text and specially decorated words. In this paper algorithm has been designed which work for the recognition of decorated words. The proposed system uses the neural network for the recognition and consists of the following portion. First is Otsu's algorithm, then applying preprocessing, neural network and finally the matched decision is displayed.

Keywords

Text Recognition, Neural Network, Otsu’s Algorithm.

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Jaspreet Kaur ¹, Amandeep Kaur ¹

Affiliations
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN

Abstract

TRM antenna is the one of the component of the Wireless System Network. It is used in Wireless network to improve the throughout and efficiency of the network. The TRM antenna is used in satellites, SONAR for acquisition of signals. Due to large number of arrays presents, sometimes TRM antenna failure takes place. When a transmitter/receiver module (TRM) error occurs, the beam pattern is distorted. In this case, resynthesizing the optimal beam pattern with all functioning TRMs, without failed TRM, is preferable to TRM repair or replacement. The degradation of the capacity of transmitter/receiver module (TRM) distorts the beam pattern; that is, the side lobe level (SLL) increases. Lot of research has been done on the optimization of the antennas, but the focus will be on the usage of ACO. Firstly, antenna failure takes place. Then compensation will be done by using ACO and the whole simulation will be shown in MATLAB environment.

Keywords

Antenna Arrays, Linear Arrays, ACO, Matlab, SLL Reduction.

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Bhawna ¹, Amandeep Kaur ¹, Sanjay Bhatnagar ¹

Affiliations
1 Department of Computer Applications, Giani Zail Singh Punjab Technical University Campus, Bathinda, IN

Abstract

The Extra Sensory Perception (ESP) famously known as Six Sense Technology lets you have access to a bulk of information that aids you with taking decision with the help of camera, web enabled mobile, projector, mirror, speech IC and colored markers. The markers work as reference point of the gestures, camera captures the gestures, that is manipulated and converted into decision with the help of information which is provided by the web enabled mobile, the mirror reflects the decision image that is projected by the projector This technology has wide range of applications, not only in the technology sector but also in the social scenario. In this paper we discuss about the vast area of the sixth sense that needs to be explored like motion sensing, artificial intelligence, gaming to make it more user-friendly technology.

Keywords

Six Sense, RFID, Speech IC.

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Amandeep Kaur ¹, Vinay Chopra ¹

Affiliations
1 DAV Institute of Engineering. & Technology, Jalandhar, IN

Abstract

Designing of Fuzzy model for optimizing the strategic decision can be very helpful to protect the failures in the system and software. The systems and software development industry is characterized by a paradigm of project failure. One of the known contributing causes of these project failures is poor requirements engineering and management, poor design strategy which has been repeatedly and widely issued and documented. The above problems could be easily countered by the Fuzzy logic, because fuzzy logic has ability to deal with uncertainty and multi valued logic This paper explains the technique for tracking the progress of the software project being built and the technique for selecting an optimal PERT chart developed by using fuzzy logic and it also explains the important variables that effects the strategic decisions connected with the software project.

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Kumud Sachdeva ¹, Amandeep Kaur ¹, Rajan Sachdeva ¹

Affiliations
1 Department of Computer Science and Engineering, Chandigarh University, Gharuan, Punjab, 140413, IN

Abstract

The primary causes of brain lesions are abnormalities in brain cells. Tumor develops in the brain as a result of these aberrant lesions. MRI and CT scans are two examples of medical imaging (CT) are the two different techniques for brain imaging scanning. The interior regions of the brain are scanned using MR imaging in this research project. There are two types of aberrant lesions in the brain: benign and malignant. Benign lesions can be treated with radiation therapy, whereas malignant lesions require adequate surgery performed by a radiologist with expertise. Uncontrolled cell proliferation in any area of the body is referred to as a tumor. Tumor come in a variety of forms, has unique traits, and call for a range of therapies. Brain tumors are a current problem. Malignant or metastatic brain tumors and primary brain tumors are two different categories. The metastatic or malignant tumors start as a cancer somewhere else in the body before spreading into the brain region, but the primary tumors start in the brain and have a tendency to stay there. The automatic tumor detection and segmentation method has therefore. In order to accurately classify and identify the tumor sections, three brain tumor segmentation methods are proposed in this study. First, a powerful brain tumor segmentation method is used by merging Convolution Neural Networks (CNN) and Multi Kernel K Means Clustering and Network (MKKMC). The proposed CNN-MKKMC technique uses the CNN algorithm to classify MR images into normal, IV, and abnormal categories. The next step is to separate the brain tumor from the aberrant brain imaging using the MKKMC algorithm. The accuracy, sensitivity, and specificity of the proposed CNN-MKKMC algorithm are assessed visually as well as objectively in comparison to the currently used segmentation techniques. The experimental findings show that the suggested CNNMKKMC technique produces greater segmentation accuracy for brain tumours while requiring less time. Both clinical datasets and publically accessible open access datasets are used to test the meningioma brain tumour detection approach.

Keywords

Neural Network, Deep Learning Neural Network, Convolution Neural Network, Multi Kernel K Means Clustering and Network, Multi Kernel K Means Clustering and Network.

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