Effectiveness of Cutting-Edge Technology for Motel Management System

The online motel management system was designed regarding the client Delicacy Inn, Galle, Sri Lanka. In the present, the client is using a manual system to manage their large amount of data which is having several issues. The proposed system allows users to store and manipulate all the data in the database while making the data handling process in to a very effective manner. The proposed system is developed to cover the process of the motel such as employee management, customer & room management, food & beverages management and transportation management. Human Resource manager is responsible of adding, updating, and deleting employee details. Human Resource manager is able to mark the leave consideration and the salary details of the employees. Human Resource manager can search relevant employee details. Customer Resource manager is responsible of adding, updating, and deleting customer details the customers can register and log in to the system. Customers can order foods, order vehicle for transportation and view bills through their online login. Transportation manager is able to manage the vehicle details and managing the process of that. Food and beverages manager are responsible of managing food items and orders given by the customers. A web application was mainly developed to ensure that the internal procedures in the motel management system are processing well. The system is developed with the intention of reducing data manipulation errors in the current manual process, resulting in considerable development in human resource utilization. The system is designed in a user-friendly manner, with a reliability, in an efficient way and its statistics all the client requirements

An augmented reality-based fashion design interface with artistic contents generated using deep generative models

Fashion design is an art that reshapes the designers’ imagination into visible content which requires a significant amount of time and effort. The assistance provided by the available design tools are limited in the sense of visualizing and fitting of the generated cloth on the human body. We present, ARGAN-an Augmented Reality (AR) based Fashion Design system which is able to generate a new dress when a sketch and a theme image are provided as the input into a Controllable Generative Adversarial Network. Further, this system can visualize the generated virtual 2D apparel in realtime on a real human body using Augmented Reality. To the best of our knowledge, this work is the first attempt at utilizing Deep Generative Models (e.g. GANs) in an Augmented Reality prototype in fashion designing for generate creative fashion content in 2D and exploiting the possibility of Deep Generative Models to generate fashion designs align to a theme. Our findings show that the use of the ARGAN can support fashion designers’ during their designing process

The use of augmented reality to deliver enhanced user experiences in fashion industry

With the advancement of new technologies, industries are developing rapidly. Among them, the fashion industry is a vast area that involves the production of raw materials, the production of fashion goods by designers, and retail sales. One of the most contributed technologies used in industry is Augmented reality. The use of new technologies can address the limitations of traditional fashion experience and enhance user experience. Undertaking a comparative thematic analysis of AR research in the fashion industry, this paper considers how AR applications evolve to enhance designer skills and knowledge throughout the past decades and the customization of clothes by users themselves to make a satisfactory and comfortable product. Secondly, the paper considers the enhancement of customer experience by analyzing how clothing retail has progressed with the adoption of AR applications. Finally, we have concluded the review paper by addressing the future research ideas. The results of the review show that possible improvements can be done for fashion designing and enhancing customer experience using AR and hybrid technologies

Knowledge of prescribed medication information among patients with limited English proficiency in Sri Lanka

Abstract Background Patients’ knowledge on prescribed medications play a key role in the long term management of cardiac diseases and in determining their outcome. The present study evaluates the knowledge about prescribed medication among cardiac patients and aim to identify factors influencing knowledge. Methods A descriptive-cross-sectional study was conducted among 200 adult patients attending clinics at the Cardiology Unit of the National Hospital of Sri Lanka. Knowledge assessment focused on four different sections; drug name, dose, frequency and indication. The total score of 60 was calculated by giving each component the following weighted scores; drug name = 20, indication = 20, drug dose = 10 and frequency = 10. A binary logistic regression analysis to evaluate factors associated with ‘good knowledge’ (total score ≥ 40) was performed. Results Among 200 participants 56.5% (n = 113) were males. Mean age was 59.7 ± 8.2 years and a majority (n = 170, 85.0%) were older than 50 years of age. Sinhala was the primary language of 91.5% (n = 183) of participants, while English was the primary language in only two of the study participants (1.0%). Eighty four percent of the participants were educated up to secondary education or above, while 2.5% (n = 5) had no formal education. The overall knowledge (total score-60) on prescribed medications among the study population was ‘poor’ (score ≤ 20) in 46%, ‘adequate’ (score 21–40) in 36.5% and ‘good’ (score ≥ 40) in 17.5%. The results of the binary logistic regression analysis indicates that Secondary (OR-1.53) and Tertiary levels (OR-2.79) of education, self-reported perception of illness as being Moderate (OR-1.23) or Severe (OR-1.70) and being educated by a doctor (as reported by patients) (OR-1.69) significantly increased the odds of having a ‘Good Knowledge of Drugs’. Majority of the patients were unable to read and understand the information written in English. The doctor’s contributed towards educating on drug information only in 33.0% of the patients. Conclusion In a resource-poor setting in patients with Limited English Proficiency, lower level of education and misperception of illness severity resulted in reduced knowledge on prescribed medications. Furthermore, being educated by a doctor significantly improved knowledge. However the doctors’ contribution at present to deliver quality health information to their patients was at an unsatisfactory level.</p