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In recent years, Intelligent Assistant services have come out to respond to user requests or to perform certain functions. These services get the request input from users with natural ways such as voice or text. However, the biggest hurdle of this approach is that it is very difficult for users to know the scope of the service (feature or knowledge) and therefore it is difficult to deliver the right...
We propose a deep neural network fusion architecture for fast and robust pedestrian detection. The proposed network fusion architecture allows for parallel processing of multiple networks for speed. A single shot deep convolutional network is trained as a object detector to generate all possible pedestrian candidates of different sizes and occlusions. This network outputs a large variety of pedestrian...
Dynamic binary analysis is a prevalent and indispensable technique in program analysis. While several dynamic binary analysis tools and frameworks have been proposed, all suffer from one or more of: prohibitive performance degradation, a semantic gap between the analysis code and the program being analyzed, architecture/OS specificity, being user-mode only, and lacking APIs. We present DECAF, a virtual...
The current research trend is about intelligent devices. There is a need to interconnect these intelligent embedded devices using the Internet and hence IoT devices have become more essential. Web of Things and Wisdom Web of Things are two technologies in their growing stages. This paper is a study on integration of IoT devices with WoT and W2T. An architecture has been designed to implement the interaction...
Although Information Centric Networking (ICN) has been identified as promising candidate for the Internet of Things (IoT) architecture, the emerging of various IoT use cases poses great challenges to the ICN architecture. The new characteristics of IoT data and clients' IoT data retrieval require the ICN infrastructure to be more intelligent and advanced capabilities. This paper proposes enhanced...
The current work blends the different paradigms of Question Answering systems and presents a content-aware hybrid architecture for an open-domain factoid questions. It combines a knowledge-based, information extraction-based and a web-based approach in a pipelined architecture to construct an answer to a question keeping the context and discourse of the question in view. The proposed semantic-aware...
A context model plays a significant role in developing context-aware architectures and consequently on realizing context-awareness, which is important in today's dynamic computing environments. These architectures monitor and analyse their environments to enable context-aware applications to effortlessly and appropriately respond to users' computing needs. These applications make the use of computing...
In this paper we examine the use of deep convolutional neural networks for semantic image segmentation, which separates an input image into multiple regions corresponding to predefined object classes. We use an encoder-decoder structure and aim to improve it in convergence speed and segmentation accuracy by adding shortcuts between network layers. Besides, we investigate how to extend an already trained...
Relevance is one of the most interesting topics in the information retrieval domain. In this paper, we introduce another method of relevance calculation. We propose to use the implicit opinion of users to calculate relevance. The Implicit judgment of users is injected to the documents by calculating different kinds of weighting. These latter touch several criteria like as user's weight in the query's...
We propose a data-centric three leveled modeling architecture in an effort towards a Model Driven approach of services for the Internet of Things (IoT): a resources level, an artifacts level and a semantic level. In this architecture, the resources level abstracts all important pieces of information describing real objects as resources. The artifacts level allows to collect all objects and contexts...
This paper describes a Semantic Version Management method that enables managing consistently digital resources throughout their life cycle. The core notion is that resources are described be means of logical specifications formally expressed using an extensible logical language. A new version is considered certified only if the resource owner is able to formally prove that it satisfies its logical...
Sentiment classification has been a very hot topic in the field of natural language processing (NLP) and understanding in recent years. Recurrent neural networks (RNN) is a widely used tool to deal with the classification problem of variable-length sentences. The standard RNN can only access the preceding context of a sentence. In this paper, a new architecture termed Comprehensive Attention Recurrent...
The growing amount of information produced by automatic systems is often associated with the paradigm of Big Data. Next to this approach it remains the interest in integrating information of different origin within a shared framework, conceptually able to be formalized by an ontology. The IEC Common Information Model (CIM) is a natural candidate to take on the role of reference ontology in the electrical...
This paper proposes an architecture for managing and distributing context information from an AAL (Ambient Assisted Living) environment to the cloud. The architecture, with semantic features, includes the processing of the sensed data using QoC (Quality of Context) parameters and data transport using SDN (Software-defined Networking). The experiments showed that the semantic context processing allows...
In this paper, we propose a sensor-cloud environmentwhich incorporates remotely located physical sensor devicesin the generic resource family along with other resources likeCPU, memory etc. The environment enables ubiquitous andon-demand access to virtual sensors which are abstractions ofphysical devices with enhanced capabilities. An architecture ofthe sensor-cloud environment is discussed in this...
The complexity of today's world reflects and is reflected on society's lifestyle, space and productive structure, the economy, and in technological processes. In this perspective, the essence of a social glance should not focus exclusively in humanities, but in a new type of engineering of cooperation networks. The identification and modeling of process semantics for cooperation networks should, therefore,...
An original architecture for production and usage of modal linguistic summaries in IoT contexts and domains is presented. The underlying research takes into account basic features of real IoT contexts and tries to map them effectively into a set of functional requirements. The architecture is strongly influenced and supported by original models of natural language processing, developed interactive...
Multimedia documents can be accessed at anytime and anywhere on a wide variety of devices, such as laptops, tablets and smartphones. The heterogeneity of devices and user preferences has raised a serious issue for multimedia contents adaptation. Our research focuses on multimedia documents adaptation with a strong focus on interaction with users and exploration of multimodality. We propose a semantic...
The current service discovery mechanisms are syntactic methods that often offer poor quality results. By researching this area we are able to identify issues that limit the quality of the result with these traditional service mechanisms. To overcome this issue we use ontologies to enable semantic matchmaking. By reasoning on concepts and relations, our approach can derive matches that syntactically...
In this paper, we present a big data software architecture that uses an ontology, based on the Experience API specification, to semantically represent the data streams generated by the learners when they undertake the learning activities of a course, e.g., in a course. These data are stored in a RDF database to provide a high performance access so learning analytics services can process the large...
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