Online Voting System Based on Blockchain
Research Paper | Journal Paper
Vol.9 , Issue.2 , pp.60-64, Feb-2021
CrossRef-DOI: https://doi.org/10.26438/ijcse/v9i2.6064
Abstract
Voting plays an important role in making decision and is an serious event as it determines the fate of a nation. In Current voting System, voters cast their vote in an appointed polling stations, which usually involves more expenditure on time and cost budget. In this paper aiming to implement the application of Blockchain as a service to implement distributed Online Voting Systems. Blockchain based Online Voting System (BOVS) to enhance the integrity, optimize the voting process, produce consistent voting results, strengthen the transparency of the voting system and and it doesnot allow duplicate votes and is fully tamper proof. In this System voting is convenience to users as voters can vote from their devices without extra cost and effort. In this paper we explore the advantges of Online voting system based on Blockchain technology.
Key-Words / Index Term
Voting, distributed, transparency, tamper proof, Blockchain
References
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Citation
B.T. Prasanna, Rakshitha R., "Online Voting System Based on Blockchain," International Journal of Computer Sciences and Engineering, Vol.9, Issue.2, pp.60-64, 2021.
Morphological Image Processing using improved Canny Algorithm: Curing Inflammatory Skin infection
Research Paper | Journal Paper
Vol.9 , Issue.2 , pp.65-67, Feb-2021
CrossRef-DOI: https://doi.org/10.26438/ijcse/v9i2.6567
Abstract
Abstract- Trichophyton rubrum infections do not elicit strong inflammatory responses, as this agent suppresses cellular immune responses involving lymphocytes particularly T-cells. It is an exclusively clonal, anthropophilic saprotroph that colonizes the upper layers of skin, and is the most common cause of athlete`s foot, fungal infection of nail, jock itch, and ringworm . This study aims to detect the Trichophyton rubrum fungus on upper layer of skin. This paper describes the model that is based on improved adaptive Canny edge detection algorithm which aims to solve the threshold of the traditional Canny cannot be adjusted automatically and the morphological filter replaces the Gauss filter to smooth the image, and the OTSU algorithm is utilized to adjust the high and low thresholds dynamically. The experimental results show that the improved Canny algorithm, which can not only improve the contrast of the image and automatically adjust the threshold but also reduce the background and false edges, is an effective edge detection method. We tested the results to calculate the effectiveness of the techniques used for detecting fungus for medicating it hastily to cure its inflammatory action and to control its further spreading.
Key-Words / Index Term
Edge detection, preserving and smoothing/filtering, OTSU algorithm, Canny algorithm, Improved Canny algorithm, Trichophyton, fungi, inflammation, treatment.
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Citation
Priyanjali Jain, Priyanshu Jain, Yash Agrawal, "Morphological Image Processing using improved Canny Algorithm: Curing Inflammatory Skin infection," International Journal of Computer Sciences and Engineering, Vol.9, Issue.2, pp.65-67, 2021.