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Temporal Pooling (TP) is a recent technique for processing temporal events by forming declarative representations of the complete sequences. In this paper, we examine and extend the functionality of the existing TP algorithm from the Hierarchical Temporal Memory (HTM) framework and introduce the Self-Organising Temporal Pooling (SOTP) architecture. The SOTP draws together the Merge Self-Organising...
This paper defines a model of a special type of digital forensics tools, known as digital media preparation forensic tools, using the formal refinement language Event-B. The complexity and criticality of many types of computer and Cyber crime nowadays combined with improper or incorrect use of digital forensic tools calls for the evidence produced by such tools to be able to meet the minimum admissibility...
This paper presents a perspective on Modeling an Adaptive Hypermedia Instructional System, having sound footings on research findings in context of high quality technology enabled learning environment. We propose a framework that is primarily based on the concept of reusable learning objects, media worthiness of components and instructional ergonomics. The goal of the framework is to cater protocols...
This paper describes current research exploring the adaption of the Bridge21 pedagogical model for the provision of a Computer Science (CS) Continuing Professional Development (CPD) Programme for post-primary/high school teachers in the Republic of Ireland. This paper outlines the design of the programme and explores the delivery of two, week long CS CPD interventions delivered in the authors' home...
Enhancing brand awareness through online social networks is increasingly pivotal to business success. This paper is concerned with a hybrid paradigm for modeling, simulation and analysis of brand virality in social media. In particular, mathematical models and graphical animation are proposed and formulated to represent the spread and viral process of a brand over social Web and mobile networks. Simulation...
This paper identifies and evaluates key factors that influence credibility perception in microblogs. Specifically, we report on a demographic survey (N=81) followed by a user experiment (N=102) in order to answer the following research questions: (1) What are the important cues that contribute to information being perceived as credible? and (2) To what extent is such a quantification portable across...
Recommendation systems have been widely used in social media. One of recommendation tasks in social media is to provide relevant messages for users. Although many models have been proposed, how to make accurate recommendation for new users with little historical information still remains a big challenge, which is called the cold start problem. In order to address this problem, many models have been...
Network management becomes more difficult for the increasing of data transmission speed and the network complexity, the paper presents an intelligence multi-agent for virtual resource model in cloud computing. We illustrate that it's process and discuss the mechanism of each agent. The proposed model is able to analyze social media service resources in real time by user context and system state and...
Business processes are dynamic and constantly evolving. Contextual elements that had not yet been identified and represented can arise and influence the execution of each process instance in diverse manners. In this scenario, the identification of these elements is considered of great importance. This paper proposes a formalism for context associated with business processes that intends to identify...
The current technological scenario presents different mobile devices, which support wireless communication at an increasingly low cost. This all makes it possible to build systems thought to be impossible. The utilization of computational and natural elements, and the mixing of virtual and real elements, set up a complex relationship between elements. A good organization of these relations would enable...
A conditional model is introduced for triggering understanding actions that correct errors of frame hypothesization and composition. Experimental evidence is provided using the French MEDIA corpus that these models trained with automatic speech recognition hypotheses trigger effective corrections of more than half of the errors. The overall frame recall increases from 0.76 to 0.84 while precision...
By integrating Media Richness Theory, Channel Expansion Theory, and the Technology Acceptance Model (TAM), we study the postadoption use behavior of instant messaging. We developed the construct “use richness” as a measure of the extent to which users use the media communication capacity after adoption and proposed a conceptual model of the antecedents of use richness. Through a field survey with...
Under the development of ubiquitous technologies, people need a novel media system. That means the multi-sensory media service which satisfies the five senses and makes people feel realistic. It is necessary to build knowledge about sensory effects and devices in order to provide the service. In this paper, we propose an ontology-based knowledge modeling. The proposed ontology model consists of effect...
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