Fuzzy Assessment for Affective and Cognitive Computing in Intelligent E-learning Systems

generation of Intelligent E-Learning systems (ILS) has been designed and implemented by means of the construction of an agent factory, NEOCAMPUS2, able to produce "ad hoc" multi-agent structures for developing ILS. The paper describes some fuzzy assessment techniques suitable to be used with affective and cognitive computing and gives some results obtained with DYNAMICS2, a NEOCAMPUS2 spin-off ILS. The positive results, so far obtained, encourage the introduction of those fuzzy techniques in all NEOCAMPUS2 spin-off systems dealing with affective and cognitive computing, now under way.

Sentiment and Emotion Analysis for Context Sensitive Information Retrieval of Social Networking Sites: A Survey

Sensitive Information Retrieval (CSIR) is quite a challenging issue because of the complexities involved in the process from semantics and ontology to the huge amount of processing capacity required to make it possible in real time. Understanding the semantic gap (where context is neglected) plays a major role in elimination false positives and improving the true positives in the information retrieval process. With big data becoming ubiquitous due to the volume, velocity and variety of data being presented and analysed in almost all the domains today, context sensitive analysis and interpretation of big data becomes important. This paper presents a comprehensive survey of the existing techniques for big data analysis based on massively parallel processing techniques like GPGPUs (CUDA), Hadoop Map- Reduce and also Data Warehousing. This paper presents a discussion about the datasets that are available for research and also the applications that could be thought of by context sensitive analysis of social media data. Also this paper provides research directions for context sensitive information retrieval and sentiment analysis in big data based on massively parallel processing architecture.

Energy Efficient Task Scheduling and Data Allocation Strategy in Heterogeneous Environment with Real Time Constraints

Content based Caption Generation for Images Embedded in News Articles

A Review of Space-Time Block Codes from Real and Complex Orthogonal Designs

paper discusses the fundamental concepts behind the real and complex orthogonal designs for space-time block coding used in wireless communication systems. Generalized real orthogonal design and complex orthogonal designs are discussed in this paper. Also a brief survey of existing orthogonal designs for space-time block coding is put forward in this paper.

Energy Aware Coverage Preservation and Lifetime Enhancement Protocol for Wireless Sensor Network

Harnessing the Power of Mobile Phone Technology to Improve Maternal Healthcare in Tanzania: Proposed Model

In the effort to reduce maternal mortality rate, Millennium Development Goal (MDG) 5 was declared globally. Tanzania has no exception on this. Maternal mortality and morbidity is still an enduring challenge in Tanzania. In 2010 the Maternal Mortality Rate (MMR) was recorded at 454/100,000 live births. Despite of the devoted efforts and significant progress that Tanzania has made in reducing MMR, still the situation demands for more improved intervention. One among the contributors of maternal mortality is lack of education to expectant mothers. In this paper, a model with a pivotal role to extend health information accessibility to expectant mothers is proposed. A proposed model is exploiting the potential and power of mobile phones to deliver its services. Existing extended network coverage and expansion of mobile phone usage are the unprecedented advantages that would also be exploited.

Directional MAC Protocols in Ad-Hoc Networks

Assessing h- and g-Indices of Scientific Papers using k-Means Clustering

A Fuzzy Controller for TCP Improvement over Mobile Networks

The Transmission Control Protocol (TCP) is used for reliable delivery of data over unreliable networks. Practically, most TCP mechanisms have been carefully designed for wired networks. Neglecting the characteristics of wireless environments can lead to TCP implementations with poor performance. In order to use TCP in mobile networks, improvements have been proposed in this paper to enhance TCP algorithm to distinguish between the different types of loss events. In mobile or static wireless environments, losses are not always due to network congestion, as in the case of wired networks. In this paper, a modified algorithm is presented using fuzzy controller to differentiate the loss events (error loss from congestion loss) that intend at adapting TCP to mobile and static wireless environments with better performance. Simulation results were performed using OMNET simulator and have showed that the new proposal has better throughput than other TCP schemes.