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This paper develops a fuzzy modeling strategy to study the temperature of different combustion layers in a power plant. First, a new infrared temperature measurement system is developed to measure three layers (bottom, middle and upper) temperature on ...

This paper presents our approach for Audio-video Group Emotion Recognition sub-challenge in the EmotiW 2020. The task is to classify a video into one of the group emotions such as positive, neutral, and negative. Our approach exploits two different ...

Diagnosis prediction aims to forecast diseases that a patient might have in his next hospital visit, which is critical in Clinical Decision Supporting System (CDSS). Existing approaches mainly formulate diagnosis prediction as a multi-label ...

Audio-visual understanding is usually challenged by the complementary gap between audio and visual informative bridging. Motivated by the recent audio-visual studies, a closed-set word-level speech recognition scheme is proposed for the Mandarin Audio-...

This paper presents a hybrid deep learning network submitted to the 6th Emotion Recognition in the Wild (EmotiW 2018) Grand Challenge [9], in the category of group-level emotion recognition. Advanced deep learning models trained individually on faces, ...

The paper considers the problem of integration of data models for visualization purpose. Integration implies that the set of the data transformations from one model to another is defined and may be realized. A set of visual elements with attached ...

In this paper, a new direct self-repairing control scheme is developed for a helicopter flight control system with unknown actuator faults and external disturbance. The design of multi-model-based adaptive control is used to accommodate the faulty ...

We are interested in the multi-modeling and simulation of complex systems, that is representing a complex system as a set of interacting models and simulating it with a co-simulation approach. Representing and simulating a complex system multi-model ...

A robust hyper spectral unmixing algorithm that finds multiple sets of end members is introduced. The algorithm, called Robust Context Dependent Spectral Unmixing (RCDSU), combines the advantages of context dependent unmixing and robust clustering. ...

This paper discusses the state-of-art of adaptive control approaches for nonlinear systems to date and presents a new classification framework, in which the existing adaptive control approaches can be broadly classified into two categories: model-driven ...

We present a framework for massively parallel simulations of climate impact models in agriculture and forestry: the parallel System for Integrating Impact Models and Sectors (pSIMS). This framework comprises a) tools for ingesting large amounts of data ...

We use the multi-agent paradigm to consider multi-level modeling as a society of interacting models.

We propose a framework to better specify the concepts used in multi-level modeling and their relationships. This framework is implemented through the ...

Image automatic annotation is a promising and essential step for semantic image retrieval, and it's still a challenge because of the open problem of semantic gap. Recently, most of image annotation approaches paid more attention to detect single label ...

This paper presents a novel method for building textual feature defined on semantic distance and describes multi-model approach for Visual Concept Detection and Annotation(VCDA). Nowadays, the tags associated with images have been popularly used in the ...

AbstractThis paper deals with the stability study of the nonlinear Saint-Venant Partial Differential Equation PDE. The proposed approach is based on the multi-model concept which takes into account some Linear Time Invariant LTI models defined around a ...

In this work, the tracking of a Wireless Capsule Endoscope (WCE) is considered. The special shape of the movement track in the small intestine has been taken advantage of to model it as a multi mode random process. Then two Multi-Model (MM) target ...

Pervasive Computing is about interconnected and situated computing resources providing us(ers) with contextual services. These systems, embedded in the fabric of our daily lives, are complex: numerous interconnected and heterogeneous entities are ...

If companies are to fulfil their business goals then they must implement more than one software process improvement or information technology management model. The heterogeneity of these models signifies that their harmonization in accordance with ...

Information Technologies (IT) play a crucial role in the development of the business processes in organizations. Acquiring the best technologies is quickly becoming as important as understanding and improving the business model of organizations. As a ...

Many control theory based approaches have been proposed to provide QoS assurance in increasingly complex software systems. These approaches generally use single model based, fixed or adaptive control techniques for QoS management of such systems. With ...