https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4139 Fri, 27 Mar 2026 10:27:38 GMT 2026-03-27T10:27:38Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4211 Title: Medical Prescription Identification Solution Authors: Wijewardena, W.R.A.D. Abstract: A medical prescription is a very familier document to any person and is a one that is usually believed impossible to read. There are several reasons for that well known conclustion. First, the sloppy handwriting of the doctors and second, the lack of the domain knowledge. Because of these difficulties in reading a prescription have a high probability of ending up in misreading the content. These misreading often lead to many health issues with regard to the patient and even a threat to their lives. But unfortunatly both the mentioned reasons for such situations cannot be changed. In the present, one of the leading research area is Optical Character Recognition. Among that, handwritten character recognition takes a significant interest in researchers. Taking these advantaged into account and with the help of the domain knowledge, this research is to find a way to accuratly read the content of a medical prescription. This research uses a neural network approach for the charater recognition process and a knowledge base matching to accuralty output the result. The outcome of this research has been a successfull enhancement in the prescription identification domain and has established for further improvements. Mon, 26 Jul 2021 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4211 2021-07-26T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4210 Title: Efficiently transform contracts written in Peyton Jones contract descriptive language to Solidity Authors: Wickramarachchi, V. U. Abstract: Financial contracts play a major role in the modern economy. Due to a large variation of contracts being traded in financial markets, a standard representation for contracts was required in order to eliminate the ambiguity imposed by natural languages. Peyton Jones et al. catered this need by proposing a combinator library embedded in Haskell which enabled contract representation and valuation. However, every financial contract represented as such suffered from the same fundamental problem. If a contract is executable, the parties involved in the contract needed to trust a central counterparty to give them the correct results after execution. The interference of this middleman introduced certain risks as well as a significant amount of overhead. In this dissertation, a novel approach to facilitate autonomous contract execution was proposed, exploiting the features and use cases of the Ethereum blockchain and its scripting language, Solidity. The approach involves transforming contracts written in the Peyton Jones’ Contract Descriptive language to Solidity using a special purpose compiler. The result of this transformation is a smart contract equivalent to the traditional financial contract. The transformed smart contract is deployed and executed on the Ethereum blockchain using an Ethereum client. The proposed solution was evaluated against existing attempts to design autonomous financial contracts. The research shows that a contract written in the Peyton Jones’ Contract Descriptive language can be transformed to a smart contract which executes autonomously in a trustless environment. As a result, it was concluded that financial contracts could operate without a central counterparty with increased performance and reduced overheads. Mon, 26 Jul 2021 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4210 2021-07-26T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4209 Title: Combining Image Processing Techniques and Mobile Sensor Information for Marker-less Augmented Reality Based Reconstruction Authors: Weerakkody, I. S. Abstract: Marker-less augmented reality based reconstruction using mobile devices, is a near impossible task. This largely due to the lack of processing power in mobile devices when considering vision based tracking for localization and to the lack of accuracy in mobile GPS when considering mobile sensor based approach for localization. In order to address this problem this research presents a novel approach which combines image processing techniques and mobile sensor information which can be used to perform precise position localization in order to perform augmented reality based reconstruction using mobile devices. The core of this proposed methodology is tightly bound with the image processing technique which is used to identify the object scale in a given user image. Use of mobile sensor information was to classify the most optimal locations for a given particular user location. This proposed methodology has been evaluated against the results obtained using 10cm accurate RTK device and against the results obtained using only the A-GPS chips in mobile device. Though this proposed methodology require more processing time than A-GPS chips, the accuracy level of this proposed methodology is outperforms that of A-GPS chips. And the results of the experiments carried out further convince that this proposed methodology facilitates improving the accuracy of position localization for augmented reality based reconstruction using mobile devices. Mon, 26 Jul 2021 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4209 2021-07-26T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4208 Title: A Blockchain Based Approach for Secure E-Voting System Authors: Sanjaya, M.D. Abstract: Voting is the process of representation of democracy in a country, to select a person for parliament, approve a bill in a parliament and decision making in board meetings etc. Voting systems have been around of hundreds of years and but they were evolving very slowly. Many solutions were proposed in the history, but most of them were rejected because of some security issues and limitations. Finally at the 21th century, evoting systems started to bloom with the development of the web technologies With the development of the blockchain 2.0, the researchers started to go towards a new destination by applying blockchain to software engineering applications. E-voting systems were developed based on Ethereum as well as Zcash and bitcoin. But they were not full e-voting frameworks. Due to the limitations of proposed solution, those were unable to exist with the modern world. In order to prove feasibility of developing a secure e-voting system by combining some concepts of Zcash with the ethereum platform, this research is a proof of concept to implement a full e-voting framework with voter registration, voter verification, voting, tallying and end to end verification. To maintain user privacy, zk-SNARK which is a concept used in Zcash for maintaining private transactions, was used. To write Immutable codes, a concept called smart contract which is used in ethereum, was used. Due to the experiment and testing done, it is very clear that this system is a practical solution and works well by protecting voter privacy. Mon, 26 Jul 2021 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4208 2021-07-26T00:00:00Z