Abstract The key disadvantage of the supervised learning technique is that it requires many hand-labeled test data to learn the classifier accurately. However, in this dynamic world, neither it is possible always to create database of labeled data, nor it is readily available in hand. Therefore, most of the users of a practical system would prefer algorithms that take few numbers of labeled data.... The key disadvantage of the supervised learning technique is that it requires many hand-labeled test data to learn the classifier accurately. However, in this dynamic world, neither it is possible always to create database of labeled data, nor it is readily available in hand. Therefore, most of the users of a practical system would prefer algorithms that take few numbers of labeled data. This research paper demonstrates that semi-supervised naïve Bayes classifier using Expectation Maximization algorithm with few labeled data and huge number of inexpensive unlabeled data can create a high-accuracy non-standard word (NSW) classifier. It has been found that low information features contribute little to the accuracy of the naïve Bayes classifier. Therefore, we have eliminated these low information features during the estimation process and applied in the semi-supervised technique, thus provides a high performance model. The performance of the naïve Bayes classifier is good enough when there is huge number of labeled data. However, the EM method dramatically improves the accuracy of a NSW classifier, especially when there are only a few labeled data. We have carried out experiment on Bengali and English news corpus, but this is a general approach that can be applied to any language. Read More Read Less

Abstract In this paper, an AR (Augmented reality) system based on a multimodal user interface is proposed and its core techniques are described. The objective of this work is to realize certain task that operators can use the virtual robot to ameliorate the interaction with the real world using AR environment. VC++ and OpenGL are used to create this application. AR applications (ARToolKit) is... In this paper, an AR (Augmented reality) system based on a multimodal user interface is proposed and its core techniques are described. The objective of this work is to realize certain task that operators can use the virtual robot to ameliorate the interaction with the real world using AR environment. VC++ and OpenGL are used to create this application. AR applications (ARToolKit) is used to detect the real-time position and orientation of camera and to facilite the operator’s observation and operation. Experiments prove that the system is reliable and efficient. Simulation result is obtained and it is very useful for designers to ameliorate the interaction with the real world. Read More Read Less

Abstract The development of cloud computing technology has been continuously growing since its invention and has attracted the attention of many researchers in the academia and the industry, particularly during the recent years. The majority of organizations, whether large corporate businesses or typical small companies, are moving towards adapting this cutting edge technology. The private cloud provides low cost and privacy for workflow applications... The development of cloud computing technology has been continuously growing since its invention and has attracted the attention of many researchers in the academia and the industry, particularly during the recent years. The majority of organizations, whether large corporate businesses or typical small companies, are moving towards adapting this cutting edge technology. The private cloud provides low cost and privacy for workflow applications execution. However, an organization’s requirements to high performance resources and high capacity storage devices encourage them to utilize public clouds. Public cloud leases information technology services in the form of small units and in larger scale compared to private cloud, but this model is potentially exposed to the risk of data and computation breach and is less secure in comparison to a pure private cloud environment. The combination of public and private clouds is known as hybrid cloud, where workflow tasks can be executed on resources residing on either public or private clouds. The objective of this paper is to present a scheduling algorithm for maintaining data privacy in workflow applications, such that the budget is minimized, while the makespan limitation imposed by the user is satisfied. A scheduling algorithm called Workflow scheduling on Hybrid Cloud to maintain Data Privacy (WHPD) is proposed and it is shown that it can perform as well as HCOC while preserving data and computation privacy. Read More Read Less