Mostrando ítems 1-20 de 20

    • A New Protection for Android Applications 

      ER-RAJY, Latifa; El kiram, My Ahmed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      Today, Smartphones are very powerful, and many of its applications use wireless multimedia communications. Prevention from the external dangers (threats) has become a big concern for the experts these days. Android ...
    • A Real Time Approach to Theft Prevention in the field of Transportation System 

      Mehta, Vartika; Punetha, Deepak; Bijalwan, Vishwanath (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      This paper report discusses a theft prevention system, which can prevent the theft and also can be track the object. This system is capable to tracking the vehicle as well as theft prevention. An R.F. module is use to ...
    • An Extensive Evaluation of Portfolio Approaches for Constraint Satisfaction Problems 

      Amadini, Roberto; Gabbrielli, Maurizio; Mauro, Jacopo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      In the context of Constraint Programming, a portfolio approach exploits the complementary strengths of a portfolio of different constraint solvers. The goal is to predict and run the best solver(s) of the portfolio for ...
    • Chinese-chi and Kundalini yoga Meditations Effects on the Autonomic Nervous System: Comparative Study 

      Dey, Anilesh; Bhattacharya, D. K.; Tibarewala, D.N.; Dey, Nilanjan; Ashour, Amira S.; Le, Dac-Nhuong; Gospodinova, Evgeniya; Gospodinov, Mitko (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      Cardiac disease is one of the major causes for death all over the world. Heart rate variability (HRV) is a significant parameter that used in assessing Autonomous Nervous System (ANS) activity. Generally, the 2D Poincare′ ...
    • Comparative Study of Clustering Algorithms in Text Mining Context 

      JALIL, Abdennour Mohamed; HAFIDI, Imad; ALAMI, Lamiae; ENSA, Khouribga (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The spectacular increasing of Data is due to the appearance of networks and smartphones. Amount 42% of world population using internet [1]; have created a problem related of the processing of the data exchanged, which ...
    • Design Methodology for Self-organized Mobile Networks Based 

      Anzola, John; Bolaños Castro, Sandro Javier; Tarazona Bermúdez, Giovanny Mauricio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The methodology proposed in this article enables a systematic design of routing algorithms based on schemes of biclustering, which allows you to respond with timely techniques, clustering heuristics proposed by a ...
    • Detection of Adverse Reaction to Drugs in Elderly Patients through Predictive Modeling 

      San Miguel Carrasco, Rafael (International Journal of Interactive Multimedia and Artificial Intelligence, 03/2016)
      Geriatrics Medicine constitutes a clinical research field in which data analytics, particularly predictive modeling, can deliver compelling, reliable and long-lasting benefits, as well as non-intuitive clinical insights ...
    • Editor’s Note 

      Mochón, Francisco; Gonzálvez, Juan Carlos (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2016)
      Digital information has redefined the way in which both public and private organizations are faced with the use of data to improve decision making. The importance of Big Data lies in the huge amount of data generated ...
    • Human Activity Recognition in Real-Times Environments using Skeleton Joints 

      Kumar, Ajay; Kumar, Anil; Kumar Singh, Satish; Kala, Rahul (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      In this research work, we proposed a most effective noble approach for Human activity recognition in real-time environments. We recognize several distinct dynamic human activity actions using kinect. A 3D skeleton data ...
    • IJIMAI Editor's Note - Vol. 3 Issue 7 

      Sanjuán Martínez, Óscar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2016)
      The research works presented in this issue are based on various topics of interest, among which are included: SVM and ANN Based Classification, Security in Android, Semantic Data, Planning and Software Agents, Mission ...
    • Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning 

      Machado Fernández, José Raúl; Bacallao Vidal, Jesús de la Concepción (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The discrimination of the clutter interfering signal is a current problem in modern radars’ design, especially in coastal or offshore environments where the histogram of the background signal often displays heavy tails. ...
    • Linear Temporal Logic-based Mission Planning 

      Kumar, Anil; Kala, Rahul (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      In this paper, we describe the Linear Temporal Logic-based reactive motion planning. We address the problem of motion planning for mobile robots, wherein the goal specification of planning is given in complex environments. ...
    • Query Migration from Object Oriented World to Semantic World 

      SOUSSI, Nassima; BAHAJ, Mohamed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      — In the last decades, object-oriented approach was able to take a large share of databases market aiming to design and implement structured and reusable software through the composition of independent elements in order ...
    • Real-Time Prediction of Gamers Behavior Using Variable Order Markov and Big Data Technology: A Case of Study 

      Baldominos, Alejandro; Albacete, Esperanza; Marrero, Ignacio; Saez, Yago (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2016)
      This paper presents the results and conclusions found when predicting the behavior of gamers in commercial videogames datasets. In particular, it uses Variable-Order Markov (VOM) to build a probabilistic model that is ...
    • Spiking Activity of a LIF Neuron in Distributed Delay Framework 

      Kumar Choudhary, Saket; Singh, Karan; Kumar Solanki, Vijender (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      Evolution of membrane potential and spiking activity for a single leaky integrate-and-fire (LIF) neuron in distributed delay framework (DDF) is investigated. DDF provides a mechanism to incorporate memory element in ...
    • SVM and ANN Based Classification of Plant Diseases Using Feature Reduction Technique 

      D. Pujari, Jagadeesh; Yakkundimath, Rajesh; Syedhusain Byadgi, Abdulmunaf (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      Computers have been used for mechanization and automation in different applications of agriculture/horticulture. The critical decision on the agricultural yield and plant protection is done with the development of expert ...
    • Text Analytics: the convergence of Big Data and Artificial Intelligence 

      Moreno, Antonio; Redondo, Teófilo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2016)
      The analysis of the text content in emails, blogs, tweets, forums and other forms of textual communication constitutes what we call text analytics. Text analytics is applicable to most industries: it can help analyze ...
    • The Silver Lining Methodology 

      Castillo Chamorro, José Miguel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The way in which Strategic planning is designed is different depending on the organization. For that reason, no standard procedures can be given to develop Strategic planning. However, the scenarios analysis method is ...
    • Uncertainty Model For Quantitative Precipitation Estimation Using Weather Radars 

      Gómez Vargas, A. Ernesto; Obregón N, Nelson; Álvarez Pomar, C. Lindsay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      This paper introduces an uncertainty model for the quantitatively estimate precipitation using weather radars. The model considers various key aspects associated to radar calibration, attenuation, and the tradeoff between ...
    • Using GDELT Data to Evaluate the Confidence on the Spanish Government Energy Policy 

      Bodas-Sagi, Diego; Labeaga, José (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2016)
      The growing demand for affordable, reliable, domestically sourced, and low-carbon electricity is a matter of concern and it is driven by several causes including public policy priorities. Policy objectives and new technologies ...