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Institution

Chandigarh University

EducationMohali, India
About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.


Papers
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31 Oct 2014
TL;DR: The optimisation of the optical wireless channel at 60 x 10 Gbps using Wavelength division multiplexing has been optimised using different parameters like eye diagrams, Q-factor, noise figure and output power and acceptable Q-Factor and BER are achieved.
Abstract: In this paper, optimisation of the optical wireless channel at 60 x 10 Gbps using Wavelength division multiplexing has been optimised using different parameters like eye diagrams, Q-factor, noise figure and output power. The signals are transmitted over longer range of communication to have improved Q-factor and Lower BER. It has been shown that the cascaded amplifiers used to boost the signal with net spectral efficiency of 6.45 b/s/Hz provide better performance. Further the investigation of power loss is optimised using WDM systems and cascaded amplifiers. The signals are transmitted over a distance of 10,000 km with channel spacing of 100 GHz using bandwidth of 1550 nm. The process is repeatedly performed at different ranges of communication and acceptable Q-Factor and BER are achieved. The results thus obtained correspond to the longest transmission distance with WDM and cascaded amplifiers to best of our knowledge.

15 citations

Book ChapterDOI
01 Jan 2022
TL;DR: In this paper, the authors highlight the need for smart sensors in smart cities for remote control technologies, and discuss the applications of smart temperature sensors with examples such as water management system, energy conservation, street lighting system and waste management.
Abstract: Smart cities provide critical infrastructure for a network of sensors, cameras, cables, wireless devices, and data centres that allow city authorities to deliver essential services more quickly and efficiently. Intelligent cities also make the use of sustainable construction materials and reduce energy consumption much more environmentally friendly. Practical usage of technology facilitates the construction of an effective transport management program, upgrades healthcare services, and establishes a broad contact network to interact with all businesses, workers, and other governmental interrelationships. The urbanization pattern is rising. Cities around the world face tight budgets and ageing facilities with further population shifts to metropolitan regions. Future communities need to be healthier, resilient, effective, relaxed, engaging, and intelligent. This chapter highlights the need for smart sensors in smart cities for remote control technologies. The smart temperature sensors are elaborated in detail. The applications of smart temperature sensors in smart cities also discussed with examples such as water management system, energy conservation, street lighting system and waste management.

15 citations

Proceedings ArticleDOI
01 Oct 2016
TL;DR: The proposed algorithm and technique minimizes the number of collisions by removing the problem of clustering and has shown considerable improvements over all major hashing algorithms in terms of performance.
Abstract: Searching is a prime operation in computer science and numerous methods has been devised to make it efficient. Hashing is one such searching technique with objective of limiting the searching complexity to O (1) i.e. finding the desired item in one attempt. But achieving complexity of O (1) is quite difficult or usually not possible. This happens because there is no perfect mapping function for insertion and searching; and this imperfection of hashing function results in collisions. The algorithm and technique presented in this article minimizes the number of collisions by removing the problem of clustering. Clustering occurs when the data items congregates in one particular area thus increasing the number of collisions and results in increased number of probes to insert and search an item. During trials runs the proposed algorithm have shown considerable improvements over all major hashing algorithms in terms of performance.

15 citations


Authors

Showing all 1533 results

NameH-indexPapersCitations
Neeraj Kumar7658718575
Rupinder Singh424587452
Vijay Kumar331473811
Radha V. Jayaram321143100
Suneel Kumar321805358
Amanpreet Kaur323675713
Vikas Sharma311453720
Munish Kumar Gupta311923462
Vijay Kumar301132870
Shashi Kant291602990
Sunpreet Singh291532894
Gagangeet Singh Aujla281092437
Deepak Kumar282732957
Dilbag Singh27771723
Tejinder Singh271622931
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023116
2022182
2021893
2020374
2019233
2018174