Browsing by Author "Jayathilaka, W.M.S.D."

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    Human Ear Recognition System
    (Uva Wellassa University of Sri Lanka, 2013) Jayathilaka, W.M.S.D.
    Human Ear Recognition is one of the challenging research areas nowadays. This research proposes a method to recognize human by using ear biometrics. Most of the other biometrics (Face, voice, and gait) change with age. When face was bearded and with emotions (smiling, crying, etc), it changes the basic shape and the appearance of the face. But in case of ear, the shape and appearance is fixed. Basically this research was focused to develop suitable algorithm to compare two ear images. This algorithm is based on Euclidian Distance. Before comparison there are several image processing activities to process ear image in order to eliminate unnecessary parts. They are Rotation, Cropping, Canny edge detection and rescale. This algorithm is based on image processing techniques. Java Programming language is used to implement this system. Java Advanced Imaging API is used to implement the Rotation, Cropping and Displaying components. Graphical User Interfaces are implemented using Java Swing. IIT Delhi Ear Database is used to test the system. These ear images are taken in several angles from same environmental conditions. So affect of the lightning is eliminated. This system archives 90% accuracy for this IIT Delhi Ear Database. But the accuracy level may change for other ear images taken from different environmental conditions. This System can be used for Criminal Investigation purposes. Police department, Custom department and other government agencies can use this system as a tool for person identification.
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    Human Ear Recognition System
    (Uva Wellassa University of Sri Lanka, 2013) Jayathilaka, W.M.S.D.; Wickramarathna, S.D.H.S.
    Biometric features are widely used today for identification purposes. The most interesting human anatomical parts for biometrics systems are finger prints, the irises, face and ear. These parts contain a large volume of unique features that allow identifying humans. Among them the ear has a large amount of unique features (Bhanuet al., 2008). The shape and appearance of an ear are fixed while other biometric features are changed with age (Singh et al., 2013). There are no developed systems for identifying a human by using the ear. This System can be used for criminal investigation purposes. Police Departments, Custom Departments and other government agencies can use this system as a tool for person identification. Methodology The system will accept an image which contains the ear of a person and register the image and store its color information taken from 25 regions. When it searches information of a person by his/her ear, it will compare the values with stored database values using Euclidean distance and output the corresponding personal information. The Human Ear Recognition System is an Image based recognition system consisting of three main modules as shown in Figure 1. The Widget module contains Graphical User Interfaces of the system. The process component supports preprocessing of the ear image before registering the ear in the system. It performs image rotation, cropping and edge detection. Registration component supports the registration of personal information with a preprocessed image of the ear. The search component supports searching a particular person from the system by using his/her ear image. The Service module contains functionalities to detect the edges of the ear, rescale the ear image and compare the particular ear with the ear database. The average color values of pixels within predefined 25 areas are taken in to account (Figure 2). The comparison is based on Euclidean Distance. The Database module supports the Widget module and the Service module to access the database. The Database includes records of personal information, a photograph of particular person and an ear image of the person. These data can be accessed only through the Database module. Result and Discussion The system is able to recognize a person by ear, independent of the angle of the ear. However problems were occurred due to various lighting conditions, which affects the detection the edges of the ear. Therefore, there should be standards to take an ear image that will not change from time to time. So the ear image that is going to be recognized should be taken by following the same standards as registered images were taken. The collections of ears used in this research were provided by IIT Delhi Ear Database. They were taken under identical conditions. The accuracy level of system for those images is 90%.
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    Identify the Potentials to Promote Special Interest Tourism in Kurunegala District: With Special Reference to Cultural Heritage Tourism
    (Uva Wellassa University of Sri Lanka, 2019) Jayathilaka, W.M.S.D.; Peiris, H.R.N.; Damunupola, A.K.A.
    Cultural Heritage Tourism is the type of Special Interest Tourism and is one of the fast growing segments in Tourism. This trend is evident in the rise in the volume of tourists who seek adventure, culture, history, archaeology and interaction with local people. Kurunegala boasters with four ancient kingdoms in its periphery bearing a significant historical importance. The cultural quadrangle Program established under the central cultural fund is also based on these four ancient kingdoms namely, Kurunegala, Yapahuwa, Dambadeniya and Panduwasnuwara. But up to now it is not a district which popular among foreign tourists. The objective of this study is identifying the potentials to promote Kurunegala as Cultural Heritage Tourism destination. One hundred foreign tourists, who are visiting Cultural Heritage Sites in kurunegala District, were selected using convenient sampling technique and self-administered questionnaire was distributed among tourists to collect primary data. Descriptive analysis is used to identify the visitor profile of potential cultural heritage tourists to destination. Researcher identified location’s Cultural heritage attractions, Location’s Environmental features and its attractions, Basic Tourists’ needs, supporting services as destination attributes to promote the Cultural heritage tourism by using Exploratory Factor Analysis. The most significant attribute is Location’s Cultural Heritage Attractions. Tourism Itineraries together with all destinations and its attractions in kurunegala district, logo and slogan for the district, Plan the tour packages including kurunegala, communicate uniqueness of the destination can be recommended to promote the destination attributes identified. Since Location’s Cultural heritage attractions are most significant, Researcher recommends maintaining preserved and clean sites, excavating more past historical works and implementing sound signage and naming system.
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    Identifying the Potentials to Promote Special Interest Tourism in Kurunegala District; With Special Reference to Cultural Heritage Tourism
    (Uva Wellassa University of Sri Lanka, 2017) Jayathilaka, W.M.S.D.
    Cultural Heritage Tourism is the type of Special Interest Tourism which is fastest growing segment in a Tourism industry. This trend is evident in the rise in the volume of tourists who seek adventure, culture, history, archaeology and interaction with local people'. Kurunegala is the only district which locates four ancient kingdoms. The cultural quadrangle Program established under the central cultural fund is also based on these four ancient kingdoms namely, Kurunegala, Yapahuwa, Dambadeniya and Panduwasnuwara2. Kurunegala can be identified as the destination which can promote as the Cultural Heritage Tourism Destination with its unique resources. But up to now it is not a district which popular among foreign tourists. Therefore the objective of this study is identifying the potentials to promote Kurunegala as Cultural Heritage Tourism destination. Research data mainly depends on the primary data collected by the Researchers from 100 foreign tourists, who are visiting Cultural Heritage Sites in kurunegala District through self-administrated questionnaire. In order to achieve objectives, Researcher used Descriptive analysis to identify the visitor profile of potential cultural heritage tourists visit to destination and conducted exploratory factor analysis method and identified destination attributes which were important to promote the Cultural heritage tourism, the most significant attribute is Location's Cultural Heritage Attractions and finally researcher recommends that providing identity to the district, focusing significant cultural attractions, developing infrastructure facilities are best ways to attract high tourist flow to the District.
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    The Impact of Gamification Techniques on Employee Productivity in Hospitality Industry: Special Reference to Four and Five Star Hotels in Colombo District
    (Uva Wellassa University of Sri Lanka, 2019) Rajapaksha, R.M.P.D.K.; Jayathilaka, W.M.S.D.; Danthanarayana, C.P.
    Although gamification is a modern concept that can be applied in any industry, the hospitality industry is not much applying these techniques to the operations. On-the-job training is one of the most effective types of training which directs to employee productivity in the organization. The main objective of this study is to identify the relationship between gamification techniques used in the hospitality industry to improve employee productivity through on-the-job training. In addition, the paper examines the mediatory impact of on-the-job training on gamification techniques and employee productivity by analysing the collected data from two of the main stakeholders in the hospitality industry: hotel employees and employers. One hundred and fifty operational level employees and fifty executive-level managers who are working at above four-star hotels in Colombo district were selected using convenient sampling technique and two self-administered questionnaires were fielded to collect primary data from selected samples. Six underlying factors were analysed under gamification techniques used in hotels: achievements; collecting; challenge; competition; cooperation; and rules. Based on the analysed data collected from two parties, gamification can be used to act as an interface between employees and hotels, to leverage responsible and ethical working behaviour. Apart from the employee productivity gamification techniques positively contribute on effective communication, social interaction, better informed and more skilled personnel, increased job satisfaction, strategic thinking, positive attitudes toward the employment and lead to a satisfied client. Together with better-qualified employees, gamification contributes to improving the overall image of the hotel, a development of the cooperation between employees and hotels that can have a positive impact on the wellbeing of the entire hospitality industry.