https://ir.kdu.ac.lk/handle/345/3820 2026-04-06T07:37:40Z https://ir.kdu.ac.lk/handle/345/6400 Featured Containerization Enterprise-Ready DevOps Engine Modeling with Microservices Kithulwatta, WMCJT 2019-01-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/2386 Introducing a cluster based concept to portfolio selection from colombo stock exchange (CSE) Kumara, MSMS; Liyanage, UP Portfolio management is a compelling concept in the financial sector for strategizing investments resulting maximum return with minimum risk. Normal procedure of selecting companies to the portfolios out of the registered companies in Colombo Stock Exchange (CSE) depends on the experience as well as the gut-feeling of the investor or the broker. Thereby, this selection depends on qualitative measures without much quantitative justification. This research objective is to introduce a quantitative criterion to select companies in an investment portfolio that result higher return compared to the selection made by qualitative measures, using clustering based algorithm. As per literature or the knowledge of collaborators, this technique was never used. Here, the daily share prices of 215 companies were collected for the period of five years, starting from 1st January 2012 and K-means clustering algorithm was used in clustering with Norm of the Variance of the Quarterly Share Prices (VQSP) as clustering variable. Based on the VQPS values, all companies were sorted, and the analysis was carried out by considering first 100%, 95%, 90%, 80%, 70% selected companies separately. There after the selected companies were clustered into 5 clusters and those clusters were used to build different portfolios by introducing a quantitative measure on the selection criterion. The return gained by the portfolios that were built-up based on company clusters was higher than that gained by the traditional selection criterion. Therefore, the research exhibits that the portfolio which are having higher return can be constructed by the selections from the clusters suitably. 2019-01-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/2385 Human Element of the Ceylon Cinnamon Value Chain: Functions and Role Amadoru, CK; Basnayake, BMRL; De Silva, DAM 2019-01-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/2384 Evaluation of Delvocid in-cooperated antimicrobial edible coating made from the whey protein isolate base to improve the shelf life of Swiss Cheese Siriwardana, EDJP; Wijesekara, I The objective of this research was to evaluate the effectiveness of an antimicrobial edible coating made from whey protein isolate base to improve the shelf life of Swiss cheese throughout 60days of storage, as a substitute for commercial nonedible paraffin coatings. Whey protein isolate which is producing through the cheese production process, have natural lactic acid. So it can inhibit the growth of other bacteria species by lowering the pH. Delvocid which contain 50% of Natamycin was added to inhibit the growth of yeasts & molds. Three types of antimicrobial solutions were prepared by adding different concentration of Delvocvid. Edible coated, paraffin coated and uncoated cheeses were kept at 100C, 85% relative humidity for 60 days and all cheeses were compared with each other. Physicochemical properties including hardness, moisture, weight loss, colour variations, pH, fat and salinity were measured of each samples in subsequently 0, 10, 20, 40 and 60 days of storage. Edible coated cheeses exhibited decreased moisture loss, pH change, hardness, colour change and increment of salinity and fat contest was relatively lower than other Cheeses. Sensory evaluation tests were carried by 10 trained panellists using seven point hedonic scales. Highest Delvocid concentration contained edible coated cheeses obtained highest acceptability score on 20, 40 and 60 day of storage and relatively low level of microbial count throughout the storage and thus it was selected as the best Delvocid concentration for coating preparation. This research was reviewed the effectiveness of Delvocid for edible cheese coatings as an antimicrobial agent. 2019-01-01T00:00:00Z