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Intelligent Systems and Computer Vision (ISCV)
2015 Intelligent Systems and Computer Vision (ISCV)
25-26 March 2015
Showing 1-25 of 63
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Intelligent Systems and Computer Vision (ISCV), 2015
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New model for aircraft landing scheduling using real time algorithms scheduling
Sallami Chougdali;Asmaa Roudane;Khalifa Mansouri;Mohamed Youssfi;Mohammed Qbadou
Publication Year: 2015,Page(s):1 - 7
Cited by: Papers (4)
Expert systems are designed to solve non-regular complex problems using extracted cognitive data and inspiring from the human expertise and its best practices. They are based on the machine performance and its ability to carry out a very large number of complex iterations. The Aircraft Landing Scheduling (ALS) problem has been complex and challenging problem in air traffic control for a long time,...Show More
Swarm reinforcement learning for traffic signal control based on cooperative multi-agent framework
Publication Year: 2015,Page(s):1 - 6
Cited by: Papers (14)
Congestion, accidents, pollution, and many other problems resulting from urban traffic are present every day in most cities around the world. The growing number of traffic lights in intersections needs efficient control, and hence, automatic systems are essential nowadays for optimally tackling this task. Agent based technologies and reinforcements learning are largely used for modelling and contr...Show More
Optimizing self-organizing method in traffic lights with PSO algorithm in a single junction modeled with a cellular automaton
Publication Year: 2015,Page(s):1 - 5
Cited by: Papers (1)
Among raised solutions for global flow optimization in traffic jam, we can quote traffic lights optimization. Several researches treated this problem and proposed different models to solve it. In this paper, we will use the cellular automaton to model the traffic flow in crossroads and the self-organizing method to control traffic lights and then we will apply the PSO algorithm to get the appropri...Show More
Multi-agent system based on fuzzy control and prediction using NN for smart microgrid energy management
Publication Year: 2015,Page(s):1 - 6
Cited by: Papers (9)
Nowadays, renewable energy is a promising solution to reduce the emissions and feed the lack of the energy in the world, the smart microgrid (MG) can be assumed as the ideal way to integrate with a large scale the renewable and clean energy source in the production of electricity and give to the consumer the opportunity to participate in the electricity market not just like consumer but also like ...Show More
Comparative study of the process model of Serious Game Design through the generic model DICE
Publication Year: 2015,Page(s):1 - 5
Cited by: Papers (5)
Nowadays Learning Games are widely utilized in various domains to ease learning and capture the focus of learner using playful spring. Although many researchers show that using Learning Games increase motivation and interest. However Learning Games users still suffer from the high cost and difficulties of developing and designing an attractive learning game without being a designer or an informati...Show More
Towards reputation measurement in online social networks
Publication Year: 2015,Page(s):1 - 8
Cited by: Papers (7)
E-Reputation is gaining increasing attention among companies. Many brands are making deep invests in managing their image across the web and virtual communities. Thereby, marketers try to access to large volumes of data generated by e-reputation analysis. Their main issue is detecting what is said about their brand and how it can impact their business. As social mediacontributes in assessing opini...Show More
A new modeling approach for Arabic opinion mining recognition
Publication Year: 2015,Page(s):1 - 6
Cited by: Papers (10)
Over recent years, the world has experienced a huge growth in the volume of shared web texts. Its users generate daily a huge volume of comments and reviews related to different aspects of their lives. In general, opinion mining/sentiment analysis refers to the task of identifying positive and negative opinions, emotions and evaluations related to an article, news, products, services, etc [1]. Ara...Show More
/r/-Letter disorder diagnosis (/r/-LDD): Arabic speech database development for automatic diagnosis of childhood speech disorders (Case study)
Publication Year: 2015,Page(s):1 - 7
Cited by: Papers (4)
In light of the scarcity of both published and free Acoustic Arabic databases, we propose in this paper Acoustic Arabic database to be a reference in the field of automatic Arabic speech recognition, this database is the result of a case study that has been developed to contribute to the automatic diagnosis of speech disorders in Arabic speaking children, the field work was in collaboration with e...Show More
Toward an effective hybrid collaborative filtering: A new approach based on matrix factorization and heuristic-based neighborhood
Publication Year: 2015,Page(s):1 - 8
Cited by: Papers (1)
“Collaborative filtering” (CF) methods provide a good solution for recommendation systems. Neighborhood formation is considered as the main phase in memory approaches. Unfortunately, this phase encounters many problems such as sparsity and scalability, especially for huge datasets which consists of a large number of users and items. This paper presents a new hybrid approach for collaborative filte...Show More
Learning analytics system for assessing students' performance quality and text mining in online communication
Publication Year: 2015,Page(s):1 - 8
Cited by: Papers (6)
A challenging and demanding task for the teachers and researchers in e-learning environments is the assessment of students' performance. This paper is to present a new Learning analytics system for Learning Management Systems (LMS), that will aid and support teachers and researchers to understand and analyze interaction patterns and knowledge construction of the participants involved in ongoing on...Show More
Motion detection using color structure-texture image decomposition
Publication Year: 2015,Page(s):1 - 8
Cited by: Papers (6)
Analyzing and interpreting video is a growing topic in computer vision and its applications. This paper mainly contributes to the Color Space-Time Interest Points (CSTIP) extraction and detection. We propose a new method for detection of moving objects. Two main steps compose the proposed method. First, we suggest applying the algorithm of the detection of Color Space-Time Interest Points (CSTIP) ...Show More
A new moving object tracking method using particle filter and probability product kernel
Hamd Ait Abdelali;Fedwa Essannouni;Leila Essannouni;Driss Aboutajdine
Publication Year: 2015,Page(s):1 - 6
Cited by: Papers (3)
Moving object tracking is a tricky job in computer vision problems. In this approach, the object tracking system relies on the deterministic search of target, whose color content matches a reference histogram model. A simple RGB histogram-based color model is used to develop our observation system. Secondly and finally, we describe a new approach for moving object tracking with particle filter by ...Show More
New models of visual saliency: Contourlet transform based model and hybrid model
Publication Year: 2015,Page(s):1 - 5
Cited by: Papers (1)
Modeling of visual attention is a very active research domain which has attracted the attention of researchers over the past years. Several models of saliency detection are now available that have shown successful applications in various fields. In this paper, we initially present three models already existing in the literature, we are talking about Itti's model, Imamoglu's model and Le Moans's mo...Show More
Motion detection based on the combining of the background subtraction and spatial color information
Publication Year: 2015,Page(s):1 - 4
To detect the moving objects in a video sequence based on background subtraction approaches, a background model should be generated at the first time before subtract it from each image of the sequence and then segmenting the moving objects. But this detection can be difficult when the environment is influenced by illumination and weather changes. In The goal to solve the problem of environmental i...Show More
Object tracking using particle filter based on Lyapunov stability
Publication Year: 2015,Page(s):1 - 5
Cited by: Papers (1)
Object tracking in video data is a topic that attracts many researchers, many algorithms have been developed in this context. Particle filter is one of the methods that having great success for its characteristic to track object in case of not-Gaussian and non linear system. In this paper we will present a new approach based on the Lyapunov function using the linear matrix inequality formulation. ...Show More
Clustering of large data based on the relational analysis
Publication Year: 2015,Page(s):1 - 7
Cited by: Papers (4)
This paper presents a fast heuristic which finds clusters by partitioning categorical large data sets according to the Relational Analysis, whereby the cluster analysis is modeled as a linear integer program with n2 attributes (n is the number of observations) and solved by the optimization under constraints of the Condorcet criterion. Without neither a sampling method nor the fixing of input para...Show More
A new approach to build a geographical taxonomy of adjacency automatically using the latent semantic indexing method
Omar El Midaoui;Abderrahim El Qadi;Moulay Driss Rahmani;Driss Aboutajdine
Publication Year: 2015,Page(s):1 - 6
Cited by: Papers (1)
In this paper, we introduce an approach for constructing a geographical taxonomy of adjacency for a country, to be used in reformulating spatial queries. The proposed approach uses the best-ranked documents retrieved by the search engine while submitting the spatial entity composed of a spatial relationship and a noun of a city A. Then, apply to it the Latent Semantic Indexing method to found the ...Show More
Multi agent based incident management system according to ITIL
Publication Year: 2015,Page(s):1 - 7
Cited by: Papers (3)
Various crucial business processes within the enterprise are based on information technology (IT) services and, as consequence, negative IT incidents can interrupt the daily enterprise' activities and cause negative effects such as: a loss of costumers' confidence, loss of productivity and direct financial loss. For that, enterprises look for implementing IT incident management system in order to ...Show More
An overview of big data opportunities, applications and tools
Publication Year: 2015,Page(s):1 - 6
Cited by: Papers (33)
Nowadays, many industries and government can exploit Big Data to extract valuable insight. Such insight can help decision makers to enhance their strategies and optimize their plans. It helps the organization to gain a competitive advantage and provides added value for many economic and social sectors. In fact, several governments have launched programs, with important funds, in order to enhance r...Show More
Optimization of prediction approach for improving students orientation in university: Case of Sidi Mohammed Ben Abdelah University (SMBAU)
Publication Year: 2015,Page(s):1 - 6
Cited by: Papers (1)
Determine the right size of the tree is a crucial operation in the construction of a decision tree from a large volume of data. It largely determines its performance when deployed in the population. This is to avoid two extremes: the sub-study, defined by a tree too small, poorly capturing useful information of the training data; overfitting, defined by a exaggerated size of tree, capturing the sp...Show More
Development of an adaptation and interface model, for the information systems interoperability
Publication Year: 2015,Page(s):1 - 6
Cited by: Papers (1)
Companies are found increasingly confronted with problems related to the integration of applications in an information system (IS), and the interconnection of the system itself with other information systems. One of The model driven engineering's (MDE) objectives is to provide solutions to the difficulties of interoperability between business systems. MDE has also provided several significant impr...Show More
Knowledge discovery in WSN using mobile agents
Rais Amine;Kada Amine;Bouragba Khalid;Ziyati Elhoussaine;Ouzzif Mohammed
Publication Year: 2015,Page(s):1 - 6
The lifespan of wireless sensors networks (WSN) is entirely dependent on the energy level in sensors. To reduce the energy consumption, the traffic exchange between sensor nodes must be reduced in order to preserve the remaining energy. To reduce the network traffic overhead and prolong the lifespan of the network, we can use mobile agents to gather data from source nodes. However, this solution c...Show More
This paper treats the estimation of narrowband Direction of Arrival (DoA) of far field and punctual sources using one dimensional smart antennas, in the first part we demonstrate a new expression of the propagator operator which is subspace based technique, using the orthonormal matrix Q obtained from QR factorization of data's second order statistics, next we present a new high resolution techniq...Show More
Neural Best Fit Void Filling Scheduler in fixed time for optical burst switching
Publication Year: 2015,Page(s):1 - 6
Cited by: Papers (2)
Optical Burst Switching (OBS), which works only with optical signal processing, is the next generation hopeful technology for Exabyte optical transport networks. Yet, there are still some issues that need to be addressed such as burst assembling, switching, scheduling, contention resolution and quality of service. Indeed, one of the major problems is to schedule efficiently bursts on wavelength ch...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Intelligent Systems and Computer Vision (ISCV), 2015
- Print on DemandPurchase at Partner
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