http://dlib.iit.ac.lk/xmlui/handle/123456789/275 Wed, 15 Apr 2026 21:33:55 GMT 2026-04-15T21:33:55Z http://dlib.iit.ac.lk/xmlui/handle/123456789/491 ‘Element’ Mindfulness Approach from Binaural Beats using Mobile Application Jayasinghe, Tanush In the current world, people have shown how powerful stress, anxiety and depression is by looking at mental illnesses and suicide rate. In this research, it is shown how much the rate has been increased from 2002, and it is caused due to the busy life schedule of people. Since there is no way to detect stress other than using a standard questionnaire or using an expensive EEG result with vigorous training data from the same person, the heart rate pattern was introduced since smartwatches are now used in day to day life. The aim of this research is to present an application that detects and reduces stress by having feedback from the Apple Health Kit and Google Fit application. By using machine learning classifier, K-Nearest Neighbours and Naive Bayes the application has managed to detect stress and a further the application goes towards eliminating stress based on the user preferences and it's own treatment records by using an artificial neural network (ANN). The research further criticizes how the current process of application works and how it can be improved further on even with a traditional approach. Since this research is based on the end results of conventional approaches that pathway was slightly adjusted using binaural beats, therefore, these auditory waves are expected to give an equivalent effect as meditation in a subordinate response time. The results of the application showed tremendous improvement in accuracy during the first 90 days and from there onwards it shows how accuracy was perfected gradually from beyond. Tue, 01 Jan 2019 00:00:00 GMT http://dlib.iit.ac.lk/xmlui/handle/123456789/491 2019-01-01T00:00:00Z http://dlib.iit.ac.lk/xmlui/handle/123456789/490 ‘Continuum’ An Automatic Music Arranger for Solo Guitar based on Audio Signal Processing and Evolutionary Algorithms Sumanaratne, Pasan Music is composed to be played on an instrument or a group of instruments. Many musicians attempt to interpret music composed by others with their own instruments. These interpretations are often called cover versions. If a song needs to be played on an instrument that it was not specifically written for, it must go through some alterations due to the limitations of the target instrument or the player. This process is called arrangement. The guitar is a very versatile, yet a very limiting instrument, that needs arranging for most of the music to be played on it. The arrangement task is a very tedious and a difficult task for intermediate and beginner players, therefore they rely mostly on arrangements made by others till they gain enough experience. These arrangements can be found online in the form of guitar tablature, a notation specific for stringed instruments. Players can’t always find the arrangements of music they are looking for from online repositories. As a solution to this problem, the proposed system attempts to automate the task of creating basic solo guitar arrangements of songs given in audio format, and present the arrangements to the users in the form of guitar tablature. The problem was decomposed into several components, namely note extraction, note arrangement and note placement. Note extraction and note arrangement aspects were combined and audio signal processing algorithms were used to extract important note events from audio files. Note placement problem was classified as an optimization problem and an evolutionary algorithmic approach was used to find the optimal placement of notes. The solution does not attempt to be creative as a human arranger, but creates basic arrangements on which the players can further improvise with their own essence of playing. Tue, 01 Jan 2019 00:00:00 GMT http://dlib.iit.ac.lk/xmlui/handle/123456789/490 2019-01-01T00:00:00Z http://dlib.iit.ac.lk/xmlui/handle/123456789/489 “Around me” An application for user recommendation/ suggestion system with ML Fernando, Pravin Prediction and suggestion plays a vital role in the software developing industry. As technology rising, the leaning algorithm outcome has grown massively. Managing multiple technologies has grabbed more attention towards the industry. Existing systems provide numerous amount functionalities for user to browse. As a result, users in the current market increase massively due to enormous number of data usage. Current algorithms available to predict future which helps the user to use the application easily. Machine learning plays a major role in developing this project. Algorithms are derived from libraries which are included in machine learning technology. In this project, a well-balanced and a developed system is introduced where all the information’s are provided in the system itself with user recommendations. Around Me is an application where the user gets to surf all the locations and places around Sri lanka with enormous number of details about the place/location (Promotions, discounts and offers). This app ensures high security authentication with custom unique tokenization’s for every user. This system does not require much of attention into accessibility though it requires a stable internet connection. As privacy measures are taken deeply for every user. Recommendations of places gives the user easy access to desired POI. Less time consuming while browsing the application in all means compared to manual contact. Tue, 01 Jan 2019 00:00:00 GMT http://dlib.iit.ac.lk/xmlui/handle/123456789/489 2019-01-01T00:00:00Z http://dlib.iit.ac.lk/xmlui/handle/123456789/488 ‘You Voter’ A Secure e-voting system using Blockchain Technology De Zoysa, Sachin Tharindu Electronic casting a ballot (e-casting a ballot) is an image of current majority rule government exercises. Because of the high ticket security and unquestionable status, e-casting a ballot framework has been blasting lately. Existing electronic casting a ballot frameworks all experience the ill effects of a genuine plan blemish: They are brought together by configuration, which means there is a solitary provider that controls the code base, the database, and the framework yields while additionally providing the checking apparatuses to confirm the outcome. The absence of an autonomously undeniable framework implies that, when voters mark their vote decision, they should put their trust in the association that their vote is recorded and considered proposed. The absence of a freely evident yield makes it troublesome for these brought together frameworks to get the dependability required by voters, subsequently conceivably restricting voter support, or provide reason to feel ambiguous about uncertainty the distributed yield of a race. To give a permanent, obvious and secure web based casting a ballot framework I mean to use the accessibility of the Blockchain as a safe exchange database. From this open record, voters will probably freely review the consideration of their vote, and the result of the decision all in all, while being certain that the outcomes can't be changed because of the unchanging nature of the Blockchain. Tue, 01 Jan 2019 00:00:00 GMT http://dlib.iit.ac.lk/xmlui/handle/123456789/488 2019-01-01T00:00:00Z