IJIMAI 2019 - Regular Issue - Vol. 5 Issue 5

Submitted by ruben.gonzalez on Tue, 05/28/2019 - 16:51

Dear Editorial Board Members,

We would like to announce the new issue of the journal.

Please check at http://www.ijimai.org/issues

 

IJIMAI 2019 - Regular Issue - Vol. 5 Issue 5

Year: 2019, Vol: 5, Number: 5          application/pdf icon

This regular issue presents research works based on different AI methods such as deep networks, genetic algorithms or classification trees algorithms. These methods are applied into many and various fields as video surveillance, forgery detection, facial recognition, activity recognition, hand written character recognition, clinical decision, marketing, renewable energy or social networking.

The issue starts with a review article, written by A. Ghazvini, S. N. H. S. Abdullah and M. Ayob, which gives a view on current individual counting approaches based on clustering, detection, regression or density based methods. This regular issue presents research works based on different AI methods such as deep networks, genetic algorithms or classification trees algorithms. These methods are applied into many and various fields as video surveillance, forgery detection, facial recognition, activity recognition, hand written character recognition, clinical decision, marketing, renewable energy or social networking.

The issue starts with a review article, written by A. Ghazvini, S. N. H. S. Abdullah and M. Ayob, which gives a view on current individual counting approaches based on clustering, detection, regression or density based methods. They describe their advantages and limitations, concluding that the use of convolutional neural networks with a density map approach will contribute in scheming more precise counting techniques, focusing not only on counting but also on localization of individuals in crowded scenes.

The second article describes a work of F. López Hernández, L. de- la-Fuente Valentín and I. Sarría Martínez de Mendivil about a quick and simple method to detect brush editing in images, which can be used in image-tampering detection tools. Their two main contributions are: the design of a new approach to detect brush editing and the algorithm of the filter that detects this editing; and the introduction of intentions as subjective metric, in contrast to other classical objective forgery metrics.

N. Bouchra, A. Aouatif, N. Mohammed and H. Nabil investigate deep learning models for face classification tasks. They propose using deep belief networks and stacked auto-encoder besides back propagation neural network to capture various latent facial features. The proposed approach shows better performance on two facial databases compared to other published methods.

A deep learning model is proposed by S. Jha, A. Dey, R. Kumar and V. Kumar-Solanki for visual question answering, a process in which a machine answers to a natural language question related to an image. Specifically the model involves faster Region based Convolutional Neural Network (R-CNN) for extracting image features with an extra fully connected layer whose weights are dynamically obtained by Long Short Time Memory (LSTM) cell according to the question. Questions can be open ended or multiple choice questions and authors show that the visual question answering problem can be solved by a single R-CNN model.

Next work, described by F. Z. Benhacine, B. Atmani and F. Z. Abdelouhab, has the objective of improving the visualization of large sets of association rules to ease doctors’ activity when using clinical decision support systems. The authors propose to use the CASI (Cellular Automata for Symbolic Induction) cellular machine together with the colored 2D matrices to improve the visualization of association rules. Effective interactivity between the human expert and the visualization matrix is a focus of the work to facilitate clinical decision.

In the field of renewable energy, A. H. A. Elkasem, S. Kamel, A. Rashad and F. Jurado aim to allow doubly fed induction generator wind farms (DFIG), which are connected to the power system, to effectively participate in feeding electrical loads. To achieve this they propose a multiobjective optimization algorithm that is applied to a model of doubly fed induction generator wind farm (DFIG) with the  aim  of determining the  optimal values of the gain soft he DFIGcontrol system. The oscillation in power system is one of the problems of the interconnection of wind farms to the grid, and this proposal achieves lower oscillation in electrical power, so that DFIG wind turbines are more reliable.

In the following article, L. E. George and H. A. Hadi propose the use of Electroencephalogram (EEG) signals for user identification and verification processes, which have shown effectiveness against forgery and theft. However, to make EEG applicable, the acquisition process should be easy and a minimum number of mental tasks must be asked to be performed by the user. Specifically, the authors propose methods using only two EEG channels when the user is performing one mental task, in order to reduce system complexity while maintaining high system accuracy.

Next article by S. Taleb Zouggar and A. Adla presents a work on ensemble methods. Although these methods improve the performance of classifiers, they deteriorate the readability of the models. Therefore, some researchers propose to synthesize the structure of a tree from a set of classifiers, but prediction gets worse in this case. S. Taleb Zouggar and A. Adla propose an evaluation function combining performance and diversity for selection in a homogeneous ensemble used in a process of hill climbing. The method was evaluated on several benchmarks and compared to pruning homogeneous ensembles in literature, achieving better results.

In the field of activity recognition, A. Jalal and S. Kamal propose a system that classifies the nature of 3D body postures obtained by Kinect. They present novel features suitable for depth data, which are robust to noise, invariant to translation and scaling, and capable of monitoring fast human body parts movements. Besides, an advanced hidden Markov model is used to recognize different activities. The system outperforms other methods when applied to three depth- based behavior datasets, in both posture classification and behavior recognition.

M. M. G. Ribeiro and A. J. P. Gomes face the challenge of improving visual perception of deutan and protan dichromats, by introducing the first algorithm mainly focused on the enhancement of object contours in images. Typically the problem is mitigated by remapping colors to other colors but this does not help individuals to learn the naturalness of colors from past experience. Their algorithm increases the image contrast while keeping the naturalness of image colors, so the image perception improves but perceptual learning about the world is not disturbed.

Going back to recognition tasks but, this time, of handwritten characters, M. Daldali and A. Souhar propose an Arabic text line segmentation approach using seam carving. The technique offers satisfactory results at extracting handwritten text lines without the need for the binary representation of the document image, even with documents presenting low text-to-background contrast such as degraded historical manuscripts. Although this work focuses on Arabic language, the method is language independent.

Next paper presents another work in the field of medicine, specifically a tool to help radiologists in breast cancer detection tasks. L. Belkhodja and D. Hamdadou describe an automatic computer aided detection system, which combines medical image processing, bioinspired pattern recognition areas and others methods in computer vision. The system succeeded in automatic detection of abnormal regions.

H. M. Keerthi Kumar, B. S. Harish and H. K. Darshan present a work on sentiment analysis. They intend to identify sentiments analyzing short texts, specifically movie reviews. They propose the use of hybrid features obtained by concatenating machine learning features with lexicon features. Experiments show that the results obtained are highly promising both in terms of space complexity and classification accuracy.

Next article by M. Raees and S. Ullah presents an approach on Three Dimensional (3D) interaction inside a Virtual Environment (VE). They describe an interaction technique where manipulation is performed by the perceptive gestures of the two dominant fingers, thumb and index. Experimental results show that the proposed approach has reliable recognition and accuracy rates. Moreover, the system neither needs training of images nor use any feature extraction, hence providing fast preprocessing.

W. Waheeb and R. Ghazali describe a new application of ridge polynomial based neural network models in multivariate time series forecasting. Their main objective is to investigate and compare the forecasting efficiency of neural network models in forecasting the well-known multivariate time series called Box-Jenkins gas furnace time series.

This regular issue starts and ends with review works, specifically the last article is about marketing intelligence and big data. Jan Lies describes how marketing intelligence has started to impact marketing practice with an important scope of social engineering techniques, concluding that marketing intelligence has led to a paradigm shift in marketing, from digital marketing to social engineering. Digital marketing includes data driven marketing, search engine marketing, recommender marketing, etc., while social engineering relates to content marketing, influencer marketing, social media marketing or creative marketing. Marketing intelligence is, without doubt, a current relevant issue. In fact, this is an advance of a next special issue of this journal that will focus on use cases of artificial intelligence, digital marketing and neuroscience.

 

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    Editorial Team

     

    Founders
    Dr. Jesús Soto Carrión, SEPES, Spain
    Dr. Óscar Sanjuán Martínez, CenturyLink, USA
    Dr. Rubén González Crespo, Universidad Internacional de La Rioja (UNIR), Spain

    IJIMAI Council

    Director - Dr. Rubén González Crespo, Universidad Internacional de La Rioja (UNIR), Spain
    Office of Publications - Lic. Ainhoa Puente, Universidad Internacional de La Rioja (UNIR), Spain
    Latin-America Regional Manager - Dr. Carlos Enrique Montenegro Marín, Francisco José de Caldas District University, Colombia

    Editor-in-Chief

    Dr. Rubén González Crespo, Dean
    School of Engineering and Technology
    Universidad Internacional de La Rioja (UNIR)
    PROEDUCA Altus
    Almansa, 101, Madrid Office, Spain

    Managing Editor

    Dr. Elena Verdú
    School of Engineering and Technology
    Universidad Internacional de La Rioja (UNIR)
    Avda. de la Paz, 137, 26006, Logroño, Spain

    Associate Editors

    Dr. Óscar Sanjuán Martínez, CenturyLink, USA
    Dr. Jordán Pascual Espada, ElasticBox, USA
    Dr. Juan Pavón Mestras, Complutense University of Madrid, Spain
    Dr. Alvaro Rocha, University of Coimbra, Portugal
    Dr. Jörg Thomaschewski, Hochschule Emden/Leer, Emden, Germany
    Dr. Vicente García Díaz, Oviedo University, Spain
    Dr. Carlos Enrique Montenegro Marín, Francisco José de Caldas District University, Colombia
    Dr. Manju Khari, Ambedkar Institute of Advanced Communication Technologies and Research, India
    Dr. Francisco Mochón Morcillo, National Distance Education University, Spain 

    Editorial Board Members

    Dr. Rory McGreal, Athabasca University, Canada
    Dr. Anis Yazidi, Oslo Metropolitan University, Norway
    Dr. Nilanjan Dey, Techo India College of Technology, India
    Dr. Abelardo Pardo, University of Sidney, Australia
    Dr. Hernán Sagastegui Chigne, UPAO, Peru
    Dr. Lei Shu, Osaka University, Japan
    Dr. Ali Selamat, Malaysia Japan International Institute of Technology, Malaysia
    Dr. León Welicki, Microsoft, USA
    Dr. Enrique Herrera, University of Granada, Spain
    Dr. Hamido Fujita, Iwate Prefectural University, Japan
    Dr. Francisco Chiclana, De Montfort University, United Kingdom
    Dr. Luis Joyanes Aguilar, Pontifical University of Salamanca, Spain
    Dr. Ioannis Konstantinos Argyros, Cameron University, USA
    Dr. Ligang Zhou, Macau University of Science and Technology, Macau, China
    Dr. Juan Manuel Cueva Lovelle, University of Oviedo, Spain
    Dr. Pekka Siirtola, University of Oulu, Finland
    Dr. Peter A. Henning, Karlsruhe University of Applied Sciences, Germany
    Dr. Vijay Bhaskar Semwal, Indian Institute of Information Technology, Dharwad, India
    Dr. Sascha Ossowski, Universidad Rey Juan Carlos, Spain
    Dr. Miroslav Hudec, University of Economics of Bratislava, Slovakia
    Dr. Walter Colombo, Hochschule Emden/Leer, Emden, Germany
    Dr. Javier Bajo Pérez, Polytechnic University of Madrid, Spain
    Dr. Jinlei Jiang, Dept. of Computer Science & Technology, Tsinghua University, China
    Dr. B. Cristina Pelayo G. Bustelo, University of Oviedo, Spain
    Dr. Masao Mori, Tokyo Institue of Technology, Japan
    Dr. Daniel Burgos,Universidad Internacional de La Rioja - UNIR, Spain
    Dr. JianQiang Li, NEC Labs, China
    Dr. David Quintana, Carlos III University, Spain
    Dr. Ke Ning, CIMRU, NUIG, Ireland
    Dr. Alberto Magreñán, Real Spanish Mathematical Society, Spain
    Dr. Monique Janneck, Lübeck University of Applied Sciences, Germany
    Dr. Carina González, La Laguna University, Spain
    Dr. Mohammad S Khan, East Tennessee State University, USA
    Dr. David L. La Red Martínez, National University of North East, Argentina
    Dr. Juan Francisco de Paz Santana, University of Salamanca, Spain
    Dr. Héctor Fernández, INRIA, Rennes, France
    Dr. Yago Saez, Carlos III University of Madrid, Spain
    Dr. Guillermo E. Calderón Ruiz, Universidad Católica de Santa María, Peru
    Dr. Giuseppe Fenza, University of Salerno, Italy
    Dr. José Miguel Castillo, SOFTCAST Consulting, Spain
    Dr. Moamin A Mahmoud, Universiti Tenaga Nasional, Malaysia
    Dr. Madalena Riberio, Polytechnic Institute of Castelo Branco, Portugal
    Dr. Juan Antonio Morente, University of Granada, Spain
    Dr. Holman Diego Bolivar Barón, Catholic University of Colombia, Colombia
    Dr. Manik Sharma, DAV University Jalandhar, India
    Dr. Sara Rodríguez González, University of Salamanca, Spain
    Dr. Elpiniki I. Papageorgiou, Technological Educational Institute of Central Greece, Greece
    Dr. Edward Rolando Nuñez Valdez, Open Software Foundation, Spain
    Dr. Juha Röning, University of Oulu, Finland
    Dr. Luis de la Fuente Valentín, Universidad Internacional de La Rioja - UNIR, Spain
    Dr. Paulo Novais, University of Minho, Portugal
    Dr. Giovanny Tarazona, Francisco José de Caldas District University, Colombia
    Dr. Sergio Ríos Aguilar, Corporate University of Orange, Spain
    Dr. Fernando López, Universidad Internacional de La Rioja - UNIR, Spain
    Dr. Mohamed Bahaj, Settat, Faculty of Sciences & Technologies, Morocco
    Dr. Javier Martínez Torres, Centro Universitario de la Defensa de Marín, Escuela Naval Militar, Spain
    Dr. Abel Gomes, University of Beira Interior, Portugal
    Dr. Edgar Henry Caballero Rúa, Inforfactory SRL, Bolivia
    Dr. Víctor Padilla, Universidad Internacional de La Rioja - UNIR, Spain
    Ing. María Monserrate Intriago Pazmiño, Escuela Politécnica Nacional, Ecuador
     
     
     
    FOCUS AND SCOPE:

    Topics covered by IJIMAI include but are not limited to:

    Artificial Intelligence

    • AI and Multimedia techniques for enhanced accesibility systems.
    • AI in Games.
    • AI for Software Engineering.
    • AI for Ubiquitous Computing.
    • AI for Web Intelligence Applications.
    • AI Parallel Processing Tools (hardware/software).
    • AI Tools for CAD and VLSI
    • AI Tools for Computer Vision and Speech Understanding.
    • AI Tools for Multimedia, Cognitive Informatics.
    • AI components for Service Oriented Arquitectures (SOA).
    • Neural Networks for AI.
    • Fuzzy logic systems.
    • Case base reasoning systems.
    • Heuristic and AI Planning Strategies and Tools,
    • Natural Language Understanding.

    Data Mining and Knowledge Management

    • Knowledge-Based/Expert Systems.
    • Knowledge Management and Processing Tools.
    • Knowledge Representation Languages.
    • Data Mining and Machine Learning Tools.

    Semantic Web, Web Services an Networks

    • Semantic Web.
    • Semantic Reasoners.
    • Semantic web services.
    • Upper ontologies.

    Interactive Multimedia

    • Visual Perception.
    • Analysis/Design/Testing.
    • Social networks.
    • Human Computer Interactions
    • User Experience

    Specials

    • Multimedia and artificial intelligence components for Bioinformatics systems.
    • Intelligent Services (Rule based systems). ILOG / JESS / MS Business Rules / Yasu technologies.
    • OpenCyc in real applications.
    • Reasoning using belief networks (MSBNx, GENIE, BNJ, Weka, etc...).

    IJIMAI welcomes submissions of scientific papers, which will be peer-reviewed. These articles should be prepared following the journal's official format and submitted through the official online submission system. Scientific research papers make up the core of the issues of IJIMAI. IJIMAI also considers less technical and shorter articles for inclusion, which can be useful for the scientific community:

    • Short articles reporting on PhD theses recently defended in the technical areas relevant to the journal. Articles in this category are typically expected to be one page long and will contain information like the abstract of the thesis, details of the viva (date, place, members of the examination board) and a photo of the event. This article can be written by the student or by one of the supervisors.
    • Opinion articles and letters which can help our community to reflect, discuss or encourage debate and joint work in certain areas.

    Articles in any of these two categories should also be prepared following the journal's official format, but should not be submitted through the official submissions webpage, but sent directly to co-Editors-in-Chief. These types of papers will not be peer-reviewed. The co-Editors-in-Chief will decide on the inclusion of these articles.

    IJIMAI Team