Mostrando ítems 1-15 de 15

    • Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking 

      Dey, Nilanjan; Amar, Yesmine Ben; Trabelsi, Imen; Bouhlel, Salim (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The three-dimensional (3D) polygonal meshes are recently widely used in several domains, which necessitate the realistic visualization of the objects. Moreover, there is an urgent need to protect the 3D data properties for ...
    • Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean 

      Parashar, Anubha; Parashar, Apoorva; Goyal, Somya (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      Push recovery is prime ability that is essential to be incorporated in the process of developing a robust humanoid robot to support bipedalism. In real environment it is very essential for humanoid robot to maintain ...
    • Temporal Information Processing and Stability Analysis of the MHSN Neuron Model in DDF 

      Choudhary, Saket Kumar; Singh, Karan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      Implementation of a neuron like information processing structure at hardware level is a burning research problem. In this article, we analyze the modified hybrid spiking neuron model (the MHSN model) in distributed delay ...
    • Erythrocyte Features for Malaria Parasite Detection in Microscopic Images of Thin Blood Smear: A Review 

      Devi, Salam Shuleenda; Sheikh, Shah Alam; Laskar, Rabul Hussain (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      Microscopic image analysis of blood smear plays a very important role in characterization of erythrocytes in screening of malaria parasites. The characteristics feature of erythrocyte changes due to malaria parasite ...
    • Analyzing the EEG Signals in Order to Estimate the Depth of Anesthesia using Wavelet and Fuzzy Neural Networks 

      Esmaeilpour, Mansour; Mohammadi, Ali Reis Ali (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      Estimating depth of Anesthesia in patients with the objective to administer the right dosage of drug has always attracted the attention of specialists. To study Anesthesia, researchers analyze brain waves since this is the ...
    • Face Detection for Augmented Reality Application Using Boosting-based Techniques 

      Hbali, Youssef; Ballihi, Lahoucine; Sadgal, Mohammed; Abdelaziz, El Fazziki (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      Augmented reality has gained an increasing research interest over the few last years. Customers requirements have become more intense and more demanding, the need of the different industries to re-adapt their products and ...
    • Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks 

      Bacallao-Vidal, Jesús Concepción; Machado-Fernández, José Raúl (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      The main problem faced by naval radars is the elimination of the clutter input which is a distortion signal appearing mixed with target reflections. Recently, the Pareto distribution has been related to sea clutter ...
    • Feature Selection for Image Retrieval based on Genetic Algorithm 

      Welekar, Rashmi; Kushwaha, Preeti (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      This paper describes the development and implementation of feature selection for content based image retrieval. We are working on CBIR system with new efficient technique. In this system, we use multi feature extraction ...
    • IJIMAI Editor's Note - Vol. 4 Issue 2 

      Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      The research works presented in this regular issue cover different fields of application such as medicine, industry or education, proposing solutions based on various topics of interest, as for example: neural networks, ...
    • Integrating Agents into a Collaborative Knowledge-based System for Business Rules Consistency Management 

      Houari, Nawal Sad; Taghezout, Noria (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      Capitalization and reuse of expert knowledge are very important for the survival of an enterprise. This paper presents a collaborative approach that utilizes domain ontology and agents. Thanks to our knowledge formalizing ...
    • A Review on Block Matching Motion Estimation and Automata Theory based Approaches for Fractal Coding 

      Kamble, Shailesh; Thakur, Nileshsingh; Bajaj, Preeti (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      Fractal compression is the lossy compression technique in the field of gray/color image and video compression. It gives high compression ratio, better image quality with fast decoding time but improvement in encoding time ...
    • Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure 

      Taghezout, Noria; Benkaddour, Fatima Zohra; Ascar, Bouabdellah (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      In spunlace nonwovens industry, the maintenance task is very complex, it requires experts and operators collaboration. In this paper, we propose a new approach integrating an agent- based modelling with case-based reasoning ...
    • Intelligent e-Learning Systems: An Educational Paradigm Shift 

      Bhattacharya, Suman; Nath, Sayan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      Learning is the long process of transforming information as well as experience into knowledge, skills, attitude and behaviors. To make up the wide gap between the demand of increasing higher education and comparatively ...
    • Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network 

      Kasihmuddin, Mohd Shareduwan Bin Mohd; Mansor, Mohd Asyraf Bin; Sathasivam, Saratha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      The restricted Maximum k-Satisfiability MAX- kSAT is an enhanced Boolean satisfiability counterpart that has attracted numerous amount of research. Genetic algorithm has been the prominent optimization heuristic algorithm ...
    • Design and Implementation of a Combinatorial Optimization Multi-population Meta-heuristic for Solving Vehicle Routing Problems 

      Osaba, Eneko; Díaz, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      This paper aims to give a presentation of the PhD defended by Eneko Osaba on November 16th, 2015, at the University of Deusto. The thesis can be placed in the field of artificial intelligence. Specifically, it is related ...