https://ir.kdu.ac.lk/handle/345/5765 IJRC 2026-04-08T13:44:16Z https://ir.kdu.ac.lk/handle/345/5771 An Android Application to Manage House Rental and Maintenance in Sri Lanka Wickramasinghe, MTA; De Silva, SHIDN; Gunasekera, D The impact of COVID-19 outbreak was felt across all real estate management. A slowdown in the house rental and maintenance management system can be anticipated, as a result of the lock-down and limitations in financing. There is a severe impact on handling the relationship between the house owners, tenants, and the handymen. Property management is a crucial component of being a landlord, but it is far from straightforward. An appropriate methodology was carried out by the researchers to identify all the problems regarding real state property management through quantitative and qualitative data gathering procedures such as semi-structured interviews, face-to-face interviews, questionnaires, and direct observation of the selected sample. After analyzing, the house owner must screen tenants, collect rental fees, handle complaints, and keep tenants satisfied, among other things. In this pandemic situation, tenants faced more difficulties s uch a s d ifficulty in fin ding a b et ter hou se, pay ing mon thly pay ments, paying utility bills, loss of connection with house owners, and finding the nearest h a ndymen. Handymen suffered a lot mainly because of the inability to find works. Researchers’ main aim is to give an appropriate solution for Sri Lankans. By examining the responses this investigation shows that a mobile application would be a better solution than implementing a web application. Iterative waterfall methodology was used for implementing this application. The researchers decided to develop this application using android studio and to enhance the effectiveness of the system by using 360 VR photography, Machine learning (ML)-based technologies, OTP/Fingerprint for User Verification and Geo location, and Geo-tagging. 2022-08-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/5770 Improving Customer Experience in Supermarkets: A New Approach based on Travel Path Dilrukshi, RSN; Caldera, HA In today’s competitive market, understanding its customers is a key to the success of any business. The market contains various customer subgroups that can be distinguished based on purchasing habits,time spent, product selection,and travel path.To identify the pattern hidden inside these subgroups is needed to use real data as it reflects the ordinary behaviour of the customers. Analysis of the travel path data that customers make inside the shopping mall enables retailers to understand and predict customer behaviour, which has become a critical point in effective decision-making for increasing sales with more customer comfort. Introducing the right discount for the right products acts as an important mediating factor in the customer relationship. Traditional methods of determining the discount and layout have dealt only with customer transactions, which have missed other important characteristics of customers’ purchasing behaviour. This paper addresses the problem of sales increase based on personalized discount schemas and improved store layout using customers’ hopping travel paths. It uses the Frequent Pattern Growth(FPGrowth) algorithm to improve the sales and the RFM(Recency, Frequency,and Monitory value) analysis to identify the customer segments based on the dataset of Instacart from the Kaggle website.An FP growth algorithm has been used to identify the frequent locations and frequent products of a customer’s purchases. An improved version of the supermarket layout has been suggested based on the frequent travel paths of customers. The findings of this approach can be used by retailers to improve the in-store shopping experience of customers. 2022-08-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/5769 A Review on Vision-Based Obstacle Avoidance and Assistant Systems for Visually Impaired People Imesha, KLH; Gayamini, G; Hettige, B Travelling is one of the biggest problems faced by the visually impaired community in their day today life. Even though the visually impaired people have their own methods for travelling such as with the aid of white canes and guide dogs, those traditional methods have lot of difficulties and i ssues. Because of those issues, researches has paid attention to develop assistive technologies which can help the visually impaired community for their day today travelling. Although the assistant technologies are developed in the past decades, the visually impaired community faces a lot of issues when using them because of the Disability Digital Devide. As a result of this, number of systems and technologies have been introduced to the word. Those systems use different technologies like vision modules, sensors and GIS maps but most of those systems are visionbased and they use different approaches to develop their vision modules such as deep learning, reinforcement learning, stereo imaging, enhanced image processing techniques, etc. So in this paper, we will focus on those vision-based systems to find the optimal way of developing a vison-based assistant system for visually impaired people by studying those technologies and by comparing and contrasting those technologies while understanding their used modules algorithms, efficiency, usability, functionalities and their advantages and disadvantages. 2022-08-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/5768 SQL Injection Detection and Preventive Approach for Web Applications Ariyathilake, GJM; Sandeepanie, MHR; Rupasinghe, PL Presently, the most highly used method of global communication is web applications and used for long-distance communication, online marketing, research and development, distance learning, e-banking and social media networks. Since web applications are available for the global community with access for anyone, web applications confront numerous security issues, specifically due to web-based c yberattacks. The SQL injection attack is the most prevailing web-based cyber-attacks globally, belonging to high-rank classifications. Because of the increased number of global online services with a high rate, SQL injection attacks also are amplified r apidly. Most SQL injection attacks are successful due to a lack of proper validation. However, a successful SQL injection attack highly interferes with databases’ integrity, availability, and confidentiality. Therefore, there is a vital global requirement to overcome SQL injection attacks. Accordingly, there are three key objectives. The first objective is to detect the SQL injection attacks affecting web servers. The second objective is to explore the preventive solution for SQL injection attacks affecting the web servers. The third objective is to share the knowledge on SQL injection attacks with other researchers. Towards overcoming predominant issues, a periodically and continuously running PHP-based programme, which can identify patterns of SQL injection attacks recorded in PHP Apache log files and blocking the identified suspicious IP addresses, was designed as the adopted me thodology. Statistics of total suspicious IP addresses and black listed IP addresses with their hitting counts and time were obtained while preventing access of black listed IP addresses to the Apache webserver. The proposed solution facilitates continuous monitoring of suspicious activities while blocking vulnerable hosts using its IP addresses automatically with securing web servers from the SQL injection attack. 2022-08-01T00:00:00Z