Browsing by Author "Weerasinghe, H"

Now showing 1 - 3 of 3

item: Conference-Full-text
Biometric Signatures and Elliptic Curve Cryptography for Internet based Applications
Perera, KMS; Weerasinghe, H
Public key cryptography is an important aspect in Information Security. Since RSA is the most widely used and accepted public key algorithm so far, many proven applications based on the RSA algorithm are widely used around the world. At present, applications of the Elliptic Curve Cryptography have been arisen as ECC has become a competing algorithm to RSA. Therefore, many comparisons between the two algorithms have been identified for various applications. This research focuses on applying Public Key Cryptography for user authentication in online transactions. Authentication is carried out generating biometric base digital signatures. The process of generating the digital signature is a combination of biometric signature and public key cryptography. The introduced new technique was implemented for algorithms ECC and RSA, and then conducted a strength comparison between two algorithms in order to observe the most suitable algorithm for the biometric digital signature generation.
item: Conference-Full-text
Machine learning approach for hairstyle recommendation
(Faculty of Information Technology, University of Moratuwa., 2020-12) Weerasinghe, H; Vidanagama, D; Karunananda, AS; Talagala, PD
According to aesthetic evaluations, hair is the most unique feature which can enhance the facial features of a person. Beauty experts have identified that 70% of overall face appearance completely depends on the haircut or hairstyle. The physical attributes such as the haircut is a major determinant of women's psychology. This is the essence of why a haircut which is matching a woman's face is necessary articulation. But selecting the right haircut or hairstyle is one of the most difficult decisions to take in a woman's life. This paper presents a novel framework to select the most suitable hairstyle or haircut by classifying the face shape. The author considers the shape of the face, beauty experts knowledge related to hair cuts and hairstyles and the length of the hair to develop a model to recommend the most suitable hairstyle or haircut. The author focused to recommend the haircuts and hairstyles for women which is a subsection of this large research area. According to beauty experts identifying the shape of the face is the most important step before selecting the right hairstyle or haircut. The proposed model has the ability to classify the face shape when a user uploaded a portrait of herself. Machine Learning libraries were used to identify the landmarks of the face image and classify the face in the correct shape. Naïve Bayes classification algorithm has used to recommend the most suitable hairstyle or haircut according to the detected face shape., hair length and information collected from the hair experts. User has given an option to share the recommended hair style or haircut with the beautician via “The Beauty Quest” Salon network platform. Five thousand images were trained, and python language has used as the programming language. The accuracy of the face shape classification model is 91% and the accuracy of the hair recommendation is also 83%.
item: Article-Abstract
Web crippling behaviour of cold-formed carbon steel, stainless steel, and aluminium lipped channel sections with web openings
(MDPI, 2022) Weerasinghe, H; Konthesingha, C; Nanayakkara, A; Poologanathan, K; Perampalam, G; Kanthasamy, E
This paper reviews the research advancements and design practices related to the structural web crippling response of lipped Cold-Formed (CF) carbon steel, stainless steel, and aluminium channels with web perforations. The web crippling response differs among each material based on the non-linear stress-strain characteristics and degree of strain hardening. Therefore, the reduction in the web crippling strength of web-perforated CF channel sections made of different materials may not be equivalent. The research activities surrounding the web crippling response of CF channels with and without web openings were reviewed initially. Despite the limited design provisions given in the international specifications for the web crippling design of lipped CF channels with web openings, web crippling studies conducted across the world have developed suitable design equations in the form of reduction factors. Past research studies have substantially captured the web crippling response of carbon steel channels with web openings while that of stainless steel and aluminium are limited, as identified in this paper. Lastly, numerical models were developed for simulating the web crippling behaviour of lipped CF carbon steel, stainless steel, and aluminium channels with web opening and validated with past experimental data, with a view for developing unified design guidelines.