Search

We studied the impact of 2D and 3D educational contents on learning and memory recall using electroencephalography (EEG) brain signals. For this purpose, we adopted a classification approach that predicts true and false memories in case of both short term memory (STM) and long term memory (LTM) and helps to decide whether there is a difference between the impact of 2D and 3D educational contents. In this approach, EEG brain signals are converted into topomaps and then discriminative features are extracted from them and finally support vector machine (SVM) which is employed to predict brain states. For data collection, half of sixty-eight healthy individuals watched the learning material in 2D format whereas the rest watched the same material in 3D format. After learning task, memory recall tasks were performed after 30 minutes (STM) and two months (LTM), and EEG signals were recorded. In case of STM, 97.5% prediction accuracy was achieved for 3D and 96.6% for 2D and, in case of LTM, it was 100% for both 2D and 3D. The statistical analysis of the results suggested that for learning and memory recall both 2D and 3D materials do not have much difference in case of STM and LTM.

The cyclic execution of several multi-typed queues through a unified server requires superlative tactics of polling strategies. Further, a number of traditional scheduling schemes have been put forward to provide assured Quality of Service (QoS) to the end-user. In the prior work, no effort has been put to combine the traditional scheduling schemes with polling mechanisms. Moreover, in the prior work, the researchers have utilized traditional Poisson distribution to analyze a variety of polling mechanisms to offer the standardized QoS to the end user. However, it has been proven through numerous studies that traffic carried by internet is self-similar and unfortunately, the traditional Poisson models are unable to capture the busty nature of internet traffic. To overcome the limitations of prior work, in the present study, we combine the limited service polling model with traditional non-preemptive scheduling scheme in two different ways. We build an analytical framework considering multiple classes of self-similar traffic and analyze their behavior on the basis of G/M/1 queuing system. We construct the Markov chain for G/M/1 queuing system and present the closed form expressions of packet latencies for related traffic classes. Simulated experiments in C++ were performed to test our proposed analytical framework for evaluating the QoS parameters and Markov chain transformation. This study clearly indicates that the combination of traditional polling mechanism with common scheduling scheme such as priority can offer a differentia treatment to facilitate the required QoS for latest 4G wireless network applications according to their requirement. Refereed/Peer-reviewed

Web services are loose-coupled, which allows developers to create, generate and compose them at runtime. But, single Web service isn't sufficient to achieve most of user demand in the current period. Therefore, composition of Web services is the appropriate solution and it's the best way to deal with various user requests. It has received a great attention from different communities. A number of different standards/specifications have been proposed to tackle this issue. These standards are Ontology Web Language, Web Service Modeling Ontology, Business Process Modeling Language, Web Services Business Process Execution Language, Web Service Choreography Interface and Web Service - Choreography Description Language. In this paper, we provide an overview of different applications that have been developed based on each of these standards, and present three comparisons between those applications along with the popularity of Web search for them. Refereed/Peer-reviewed