Kamaljit Kaur

Work place: Guru Nanak Dev University/Department of CET, Amritsar, 143005, India

E-mail: kamal.aujla86@gmail.com


Research Interests: Distributed Computing, Computing Platform, Data Structures and Algorithms


Kamaljit Kaur was born in Kapurthala, Punjab, India. She completed B.Tech. with Distinction from Punjab Technical University, and M.Tech. with Gold Medal from Guru Nanak Dev University, Amritsar. She is pursuing PhD in the field of Cloud Computing from Guru Nanak Dev University, Amritsar. From 2007 to 2008 she was employed with Dr. B.R.Ambedkar NIT, Jalandhar as Lecturer and from 2010 to 2012, she worked as an Assistant Professor at Lovely Professional University, Jalandhar. She joined Guru Nanak Dev University, Amritsar in July 2012 where she is currently working as an Assistant Professor. Her research interests are in Resource Provisioning in Cloud Computing, Resiliency in Cloud Computing and Distributed Systems, Big Data, IoT. Kamaljit Kaur has published and presented more than 35 papers in scientific journals and international conferences.

Author Articles
Internet of Things: A Review on Technologies, Architecture, Challenges, Applications, Future Trends

By Jaideep Kaur Kamaljit Kaur

DOI: https://doi.org/10.5815/ijcnis.2017.04.07, Pub. Date: 8 Apr. 2017

World Wide Web (1990’s) and Mobile Internet (the 2000’s) had consequential corroborated the way how people communicate. However, with evolution in technology, the cataclysm of Internet has stepped into a new phase-Internet of Things. Internet of Things, a prominent paradigm in the field of IT having a nominal intervention of humans allowing diverse things to communicate with each other, anticipate, sight, and perceive surroundings. IoT exploits RFID tags, NFC, sensors, smart bands, and wired or wireless communication technologies to build smart surroundings, smart Homes, quick-witted intelligence in medical care, ease of Transport, and more. This paper introduces IoT with emphasis on its driver technologies and system architecture. In addition to application layer protocols, we focus on identifying various issues and application areas of IoT as well as future research trends in the field of IoT. We have also highlighted how big data is associated with Internet of Things.

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Study of Image Enhancement Techniques in Image Processing: A Review

By Ramandeep Kaur Kamaljit Kaur

DOI: https://doi.org/10.5815/ijem.2016.06.04, Pub. Date: 8 Nov. 2016

Image denoising plays extremely important role in digital image processing. The primary objective of this paper is to explore highlighted challenges of the image filtering techniques. The comprehensive study has evidently shown that the one of most challenging issue in image filtering is edge preserving while removing the noise. Because edges deliver the most important information to the human visual system. This paper has compared different recent image filtering methods based upon certain factors. The comparisons have shown that the noise reduction using wavelet coefficients based on OMP has quite effective improvements over available methods. Challenging issue in image filtering technique is removing the multiplicative noise and high density of noises is still found.

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A Survey on Stereo Matching Techniques for 3D Vision in Image Processing

By Deepika Kumari Kamaljit Kaur

DOI: https://doi.org/10.5815/ijem.2016.04.05, Pub. Date: 8 Jul. 2016

Extraction of three-dimensional scene from the stereo images is the most effective research area in the field of computer vision. Stereo vision constructs the actual three-dimensional scene from two stereo images having different viewpoints. Stereo matching is a correspondence problem, that means it ascertains which part of image corresponds to which part of another image ,where variations inside two images is due to the movement of camera or elapse of time. Many stereo matching algorithms have been developed in order to construct the accurate disparity map. This paper presents a review on various stereo matching techniques. The comparison among existing techniques has clearly shown that none perform optimistically every time. This review has shown that the existing methods in stereo matching involve median filtering. But median filter is not effective for high density of noise. Besides mean-shift segmentation is being used for disparity refinement in existing methods, which can be enhanced by using improved mean-shift segmentation, available now days. In addition, guided filter has been used by many algorithms, but this can be replaced by joint trilateral filters.

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A New Technique for Detection and Prevention of Passive Attacks in Web Usage Mining

By Roop Kamal Kaur Kamaljit Kaur

DOI: https://doi.org/10.5815/ijwmt.2015.06.07, Pub. Date: 8 Nov. 2015

Data theft and data attack is very common with internet users and web log files. Web log file is the proof of authentication of any user over any website. Many unauthorized users change them according to their requirement. Attacks like sql injection, brute force attack, IP spoofing might cause severe damage to the database system In this encryption techniques and optimization technique have been applied in order to check the unexpected arrival of messages or queries and the system parameter.

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