http://repository.wyb.ac.lk/handle/1/3060 2026-05-08T14:17:12Z 2026-05-08T14:17:12Z Amarasena, PT Kumara, BTGS Jointion, S http://repository.wyb.ac.lk/handle/1/3588 2022-02-03T06:27:27Z 2019-01-01T00:00:00Z

SVM Based Classification Approach to Identify Suitable Beginners for Tennis Based on Anthropometric Measurements Amarasena, PT; Kumara, BTGS; Jointion, S Anthropometric measurements are generally used to determine and predict achievement in different sports. An athlete’s anthropometric and physical characteristics may be an important precondition for successful participation in any given sport. Further, anthropometric profiles indicate whether the player would be suitable for the competition at the highest level in a specific sport. The main aim of this study is to measure accuracy of the given classification algorithms. Each and every data mining algorithm provides separate prediction accuracy details. This study investigates an integration of four data mining algorithms (Naïve Bayes, Decision Trees, Random Forest, and Support Vector Machine) and an Ensemble approach (bagging, boosting, and stacking). In this research, Push up, Sit-up, Cardiac respect endurance, flexibility, agility, Height, Weight, Upper Arm Relaxed Girth, Fore Arm Girth, Chest Girth, Wrist Girth, Waist Girth, Thigh Girth, Calf Girth, Angle Girth, Acromial Radial Length, Radials lion Dactyl ion, Foot Length, body composition, fore arm length, hand length, Explosive power, Breath hold in time, resting heart rate, volume of oxygen, Force vital capacity, force explotaty volume in 1 second, Upper arm radius, and Leg Length are used. In this paper, classification performance of these models has been evaluated using Accuracy, Precision, Recall, F-Measure, MCC, ROC Area, PRC Area, Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) etc. The results of this study indicated that SVM was the most suitable algorithm to classify Anthropometric measurements of tennis players.

2019-01-01T00:00:00Z Kudagamage, UP Kumara, BTGS Baduraliya, CH http://repository.wyb.ac.lk/handle/1/3587 2022-02-03T06:20:56Z 2019-01-01T00:00:00Z

Movie Success Prediction and Movie Rating using Data Mining Kudagamage, UP; Kumara, BTGS; Baduraliya, CH This study aims to analyze different data mining approaches to explore the attributes affecting the success or failure of a movie and develop a rating for movies. Four data mining algorithms and an Ensemble approach are considered in movie success prediction and also this study demonstrates the correlation between successes or failure of a movie and the different attributes of movies. Various prediction criteria are used to evaluate the prediction performance of these models. Further, a spatial clustering technique called the Associated Keyword Space (ASKS) was applied for this study. Similarities between movies were calculated using the Cosine Similarity and these affinity values were used for this clustering model. Movies were categorized under the success or failure of movies by clustering them into four clusters as Most Successful Movies, Successful Movies, Unsuccessful Movies and Least Successful Movies. The most effective attributes towards the success or failure of a movie were identified. Movie makers can use these results to identify which movie attributes are the most effective and can consider them for the success of their future movie productions. Also, using the Correlation Coefficient, a mathematical model that can be used to predict the movie’s success or failure is proposed and a movie rating (from 1-10) is developed.

2019-01-01T00:00:00Z Suraweera, SAPD Nagahamulla, HRK Vidanagama, VGTN http://repository.wyb.ac.lk/handle/1/3586 2022-02-03T05:23:07Z 2019-01-01T00:00:00Z

IoT and Fuzzy Logic Based Smart Mirror for the Hospitality Industry Suraweera, SAPD; Nagahamulla, HRK; Vidanagama, VGTN Automation has been a best topic in the hospitality industry over the past few months. From AI concierge’s electronic butlers to fully intelligent hotels, hotels have been embracing this technology to improve their operations and revolutionize the guest experience. To monitor guests at hotels constantly, there should be a system that can be easily handled, user friendly and smart in accordance with the rapid advancements in technology. Though the applications of Internet of Things (IoT) are diverse, this system is based on IoT which can be implemented by using Raspberry pi technology.

2019-01-01T00:00:00Z Suraweera, SAPD Arudchelvam, T http://repository.wyb.ac.lk/handle/1/3577 2022-02-02T04:37:32Z 2019-01-01T00:00:00Z

A Study on Information Security Gaps of Electronic Data Interchange (Edi) in Logistics Industry, Sri Lanka Suraweera, SAPD; Arudchelvam, T Electronic Data Interchange (EDI) plays a major role in improving business prospects. EDI usage is expected to increase in the immediate future. This high growth in a potentially paperless environment presents a variety of security risks, such as disclosure of messages, tempering with messages, etc. However, a major barrier to the organizational adoption and usage of EDI, is the lack of knowledge and the need of security. This paper presents the findings of the survey which has been conducted among logistics companies in Sri Lanka.

2019-01-01T00:00:00Z