IJIMAI 2016 - Special Issue on Artificial Intelligence Underpinning - Vol. 4 Issue 1

Year: 2016, Vol: 4, Number: 1         application/pdf icon

The research works presented in this issue are based on various topics of interest, among which are included: Pattern Recognition, Multimedia Information Retrieval, Knowledge extraction and knowledge mining, Data mining, Intelligent Systems & Artificial Intelligence, Wireless Technology, Network Telecommunication, Security & Network Management, Advanced Network Technologies. 

The International Journal of Interactive Multimedia and Artificial Intelligence provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence and Interactive Multimedia techniques.

Electronic File Download:
  Table of contents.

IJIMAI 2016 - Regular Issue - Vol. 3 Issue 7

Year: 2016, Vol: 3, Number: 7         application/pdf icon

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 Planning, Clustering in Text Mining, Mobile Networks, Weather Radars, Human Activity Recognition, LIF Neurons and DDF, Theft Prevention, Constraint Programming, Measuring Meditations Effects, Neural Networks and Deep Learning.

The International Journal of Interactive Multimedia and Artificial Intelligence provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence and Interactive Multimedia techniques.

Electronic File Download:
  Table of contents.

IJIMAI 2016 - Special Issue on Big Data and AI - Vol. 3 Issue 6

Year: 2016, Vol: 3, Number: 6         application/pdf icon

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 every day, especially following the emergence of online social networks (Facebook, Twitter, Google Plus, etc.) and the exponential growth of devices such as smartphones, smartwatches and other wearables, sensor networks, etc. as well as the possibility of taking into account increasingly updated and more varied information for decision making.

With proper Big Data analysis we can spot trends, get models from historical data for predicting future events or extract patterns from user behaviour, and thus be able to tailor services to the needs of users in a better way.

Using Big Data is becoming widespread among organizations of all kinds. It is a fact that large companies, start-ups, government agencies and non-governmental organizations are gradually being encouraged to use microdata generated by digital devices to operate more efficiently. When these microdata are aggregated they turn into massive amounts of data which require specialized tools and skills to be managed.

The challenge organizations are facing is that the increasing amount of data is too large or too unstructured to be managed and analysed with traditional methods. Think of the data derived from the sequence of clicks from the Web, social media content - tweets, blogs, Facebook wall postings (Facebook alone accounts for more than 1 billion active users generating social interaction content. Google processes on average over 53 thousand search queries per second, making it over 4.6 billion in a single day) - or radio frequency identification systems, which generate up to a thousand times more data than conventional barcode systems (12 million RFID tags – used to capture data and track movement of objects in physical world – had been sold in by 2011. By 2021, it is estimated that that number will have risen to 209 billion. Walmart manages more than 1 million customer transactions per hour). In the World 10.000 payment card transactions are recorded every second. The amount of data transferred over mobile networks increased by 81% to 1.5 Exabyte per month between 2012 and 2014. More than 5 billion people make phone calls, send text messages and surf the Internet with mobile phones. Every day they send 340 million tweets (4.000 per second!). To date they’ve generated 2.5 trillion bytes of data. However, very little of this information is in the form of rows and columns of traditional databases.

Electronic File Download:
  Table of contents.

IJIMAI 2015 - Regular Issue - Vol. 3 Issue 5

Year: 2015, Vol: 3, Number: 5         application/pdf icon

The research works presented in this issue are based on various topics of interest, among which are included: DSL, Machine Learning, Information hiding, Steganography, SMA, RTECTL, SMT-based bounded model checking, STS, Spatial sound, X3D, X3DOM, Web Audio API, Web3D, Real-time, Realistic 3D, 3D Audio, Apache Wave, API, Collaborative, Pedestrian Inertial, Navigation System, Indoor Location, Learning Algorithms and Information Fusion.

The International Journal of Interactive Multimedia and Artificial Intelligence provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence and Interactive Multimedia techniques.
 

 

Electronic File Download:
  Table of contents.

IJIMAI 2015 - Special Issue on Teaching Mathematics Using New and Classic Tools - Vol. 3 Issue 4

Year: 2015, Vol: 3, Number: 4         application/pdf icon

This special issue, Teaching Mathematics using new and classic tools, concentrates on the practical and experimental teaching in advanced Mathematics in Engineering. The selected papers deal with the most relevant issues in the field, such as Mathematical learning and other different subjects in which Mathematics are needed, Advanced Mathematics, the development of different studied using Masive Open Online courser (MOOCs) or even the history of E-Learning and Mathematics. The result is a collection of experimental validations, mathematical papers and MOOCs studies which constitutes a clear contribution to the state of the art.

Teaching Mathematics is always hard since most of the students have the feeling that this field is not really applicable and not interesting at all. Although it is well known that Mathematics are present in almost all actions of life, as for exampe the design of a car or even shopping, it is complicated to make people understand this matter due to the fact that this Mathematics are camouflaged in the background. Moroever, there exists another problem: Student find Mathematics as a very tough subject, which is comupulsory, so many of the students have no motivation at all with the subject which constitutes another worry to teachers.

On the other hand, it is also known that one of the main benefits of using ICTs in a classroom is that teachers can motivate their students in almost every area and taking into account that, as previously remarked, this area is specially hard, we have to investigate all the possibilities that can make teaching easier. In this scene, E-Learning can be a very useful tool and we, as teachers, must get all the juice to it. The use of ICT and E-Learning have been increased exponentially in recent years both in school/college classrooms and University classrooms up to flood them with resources for a more meaningful learning in all areas of knowledgement.

In the last years, many authors are concerned with this problem and are putting all efforts in desgining new Websites related to Mathematics and their teaching, investigating how math skills are acquired in different virtual environments or even developing different E-Learning environments which allow teachers evaluate their students in a compact and computerized way. Therefore, many other authors have focused their studies in the field of teaching mathematics using E-Learning.

Over the past decade, the number of students that need specific mathematical courses is increasing every year leaded up to the requirement of developing different MOOCs which help students to understand better the basic concepts and can allow them to see different practical examples. Some authors have study this Mathematical MOOCS.

Finally, the increasing number of research mathematicians has experienced an extraordinary growth and all the studies indicate that this trend will continue in the coming years. Some of this recent research is focused on developing new computer tools that can be used both as an aid to the investigation as in the classroom in order to explain advanced Mathematics. 

Electronic File Download:
  Table of contents.

IJIMAI 2015 - Regular Issue - Vol. 3 Issue 3

Year: 2015, Vol: 3, Number: 3         application/pdf icon

The research works presented in this issue are based on various topics of interest, among which are included: 3D Interface, Information Extraction, Artificial immune system, Security  in Cloud Computing, Genetic Algorithm, Activity recognition, 3D Render Distribution, Software visualization, Event Perception, New Programming Language, Distributed computing, MOOC environments, etc.

The International Journal of Interactive Multimedia and Artificial Intelligence provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence and Interactive Multimedia techniques.

Electronic File Download:
  Table of contents.

IJIMAI 2015 - Special Issue on Digital Economy - Vol. 3 Issue 2

Year: 2015, Vol: 3, Number: 2         application/pdf icon

The term 'Digital Economy' was coined for the first time by Don Tapscott in 1995 in his best-seller The Digital Economy: Promise and Peril in the Age of Networked Intelligence. When he wrote the book 20 years ago, he announced how he thought the Internet would fully transform the nature of business and government. We have now extended the concept, illustrating how digital technologies are rapidly transforming business practices, the economy and societies. Technology, and its impact on business strategy and society, continues to rise in importance. The Digital Economy, sometimes also called “Digital Business” has become a philosophy for many top executive teams as they seek competitive advantages in a world of fast moving technological change. When we talk about digital technologies, we are not only talking about the internet, nor only ICT (Information and Communications Technology), but other concepts such as mobile, telecommunications or content. The digital economy is by no means an exclusively economic concept. Therefore, it might be more appropriate to speak of digital society or digital technology. What matters is that digital is a transverse concept that affects individuals, businesses and public administrations.

People are progressively entering the digital world. In our daily life we are in direct contact with digital devices such as cars, electrical appliances etc. People increasingly communicate digitally; through mobile devices, internet, and social networks. In addition, our leisure, education and health are largely being integrated into a digital environment.

Likewise, organizations are progressively incorporating digital technology in their production and distribution processes, conducting research and also in the process of decision making. In this sense the emergence of Big Data has been one factor that has accelerated an already observed trend.

Public administrations and political institutions are incorporating digital into both their internal procedures and in their relationships with citizens. An example is the role played by Big Data in the two elections won by Obama. Another example may be the way the ISIS terrorist group uses social networking to publicize their activities and secure funding.

But digital technology and information are not only affecting the daily behavior of individuals, businesses and public administrations. They are also playing a very prominent role in the knowledge of the fundamental laws of nature. In this sense we can highlight the contribution of digital technology in the computer modeling of fundamental elements of life, and consequently in the creation of artificial life. Likewise, you may also note the role in deepening the knowledge of the universe.

Bearing in mind that Digital Economy is becoming more relevant from the economic perspective, we decided to star this issue with something unusual in this magazine: a paper that discusses the economy. It’s interesting from our point of view, as it underscores the fact that digital technologies, which of course include Artificial Intelligence and Interactive Multimedia, are not only relevant from the technical point of view, but from the business and society perspective as well.

Electronic File Download:
  Table of contents.

IJIMAI 2014 - Regular Issue - Vol. 3 Issue 1

Year: 2014, Vol: 3, Number: 1         application/pdf icon

The research works presented in this issue are based on various topics of interest, among which are included:  bayesian networks, evolutionary algorithms, virtual reality, web advertising, 3D technologies, traffic expression, Smart Cities, computational sustainability, computer vision, image recognition, deep neural networks, graphical models, mobile devices, human/complex system interactions, multi-agent systems, physics inspired behaviours, etc.

The International Journal of Interactive Multimedia and Artificial Intelligence provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence and Interactive Multimedia techniques.

Electronic File Download:
  Table of contents.

IJIMAI 2014 - Special Issue on Multisensor User Tracking and Analytics to Improve Education and other Application Fields - Vol. 2 Issue 7

Year: 2014, Vol: 2, Number: 7         application/pdf icon

This special issue, Special Issue on Multisensor user tracking and analytics to improve education and other application fields, concentrates on the practical and experimental use of data mining and analytics techniques, specially focusing on the educational area. The selected papers deal with the most relevant issues in the field, such as the integration of data from different sources, the identification of data suitable for the problem analysis, and the validation of the analytics techniques as support in the decision making process. The application fields of the analytics techniques presented in this paper have a clear focus on the educational area (where Learning Analytics has emerged as a buzzword in the recent years) but not restricted to it. The result is a collection of use cases, experimental validations and analytics systems with a clear contribution to the state of the art.

The International Journal of Interactive Multimedia and Artificial Intelligence provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence and Interactive Multimedia techniques.

Electronic File Download:
  Table of contents.

IIJIMAI 2014 - Regular Issue - Vol. 2 Issue 6

Year: 2014, Vol: 2, Number: 6         application/pdf icon

The research works presented in this issue are based on various topics of interest, among which are included:  3D image reconstruction, Persian texts, usability evaluation methods, user experience, oriented matroids, flexible job-shop scheduling, business and social behavior, mobile computing and mobile devices, intelligent tutoring systems and geography optimization.

Pacheco et al. present a novel hybrid methodology, composed by 10 phases that combine active and passive methods, using images and a laser in order to supplement the missing information and obtain better results in the 3D object reconstruction. The proposed methodology proved its efficiency in two complex topological complex objects.

Noferesti, S. and Shamsfard M., write about Persian Texts and the Ezafe construction. They introduce a framework for combining genetic algorithms with rule-based models. This framework was used for recognizing the position of Ezafe constructions in Persian written texts. At the first stage, the rule-based model was applied to tag some tokens of an input sentence. Then, in the second stage, the search capabilities of the genetic algorithm were used to assign the Ezafe tag to untagged tokens using the previously captured training information. The proposed framework was evaluated on Peykareh corpus and it achieved 95.26 percent accuracy. Test results show that this proposed approach outperformed other approaches for recognizing the position of Ezafe constructions.

Schön, E.M. et al. describe a procedure to analyze and optimize scientific Internet information services that can be accomplished with relatively low effort. It consists of a combination of methods that already have been successfully applied to practice: Human beings, usability inspections, Online Questionnaire, Kano model and Web Analytics [3].

José Antonio Valero Medina and Ivan Lizarazo Salcedo describe the implementation of a prototype REST service for triangulation of point sets collected by mobile GPS receivers. The first objective of their work is to test functionalities of an application, which exploits mobile devices’ capabilities to get data associated with their spatial location.  A triangulation of a set of points provides a mechanism through which it is possible to produce an accurate representation of spatial data. Such triangulation may be used for representing surfaces by Triangulated Irregular Networks (TINs), and for decomposing complex two-dimensional spatial objects into simpler geometries. The second objective is to promote the use of oriented matroids for finding alternative solutions to spatial data processing and analysis tasks. This study focused on the particular case of the calculation of triangulations based on oriented matroids. The prototype described used a wrapper to integrate and expose several tools previously implemented in C++.

Celia Gutiérrez proposes a work based on an algorithm where each objective (resource allocation, start-time assignment) is solved by a genetic algorithm (GA) that optimizes a particular fitness function, and enhances the results by the execution of a set of heuristics that evaluate and repair each scheduling constraint on each operation. The flexible Job-shop Scheduling Problem (fJSP) considers the execution of jobs by a set of candidate resources while satisfying time and technological constraints. The aim of this work is to analyze the impact of some algorithmic features of the overlap constraint heuristics, in order to achieve the objectives at a highest degree. To demonstrate the efficiency of this approach, experimentation has been performed and compared with similar cases, tuning the GA parameters correctly.

Zouhair et al. present a work in the field of Intelligent Tutoring System (ITS), in fact, there is still the problem of knowing how to ensure an individualized and continuous learners follow-up during learning process, indeed among the numerous methods proposed, very few systems concentrate on a real time learners follow-up. This research develops the design and implementation of a Multi-Agents System Based on Dynamic Case Based Reasoning which can initiate learning and provide an individualized follow-up of learner. This approach involves the use of Dynamic Case Based Reasoning to retrieve the past experiences that are similar to the learner’s traces (traces in progress), and the use of Multi-Agents System. Through monitoring, comparing and analyzing learner traces, the system keeps a constant intelligent watch on the platform, and therefore, it detects the difficulties hindering progress and  avoids possible dropping out. The system can support any learning subject. To help and guide the learner, the system is equipped with combined virtual and human tutor [6].

Sati, M. et al. outline a solution about a fault-tolerant mobile computing model based on scalable replica. The most frequent challenge faced by mobile user is stay connected with online data, while disconnected or poorly connected store the replica of critical data. Nomadic users require replication to store copies of critical data on their mobile machines. Existing replication services do not provide all classes of mobile users with the capabilities they require, which includes: the ability for direct synchronization between any two replicas, support for large numbers of replicas, and detailed control over what files reside on their local (mobile) replica. Existing peer-to-peer solutions would enable direct communication, but suffers from dramatic scaling problems in the number of replicas, limiting the number of overall users and impacting performance. Roam is a replication system designed to satisfy the requirements of the mobile user. Roam is based on the Ward Model, replication architecture for mobile environments. Using the Ward Model and new distributed algorithms, Roam provides a scalable replication solution for the mobile user. They describe the motivation, design, and implementation of Roam and report its performance. Replication is extremely important in mobile environments because nomadic users require local copies of important data.

Bhaskar, V.S. et al., describe the work to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. Their paper introduces the decision making model which is based on the application of Artificial Neural Networks (ANNs) and Particle Swarm Optimization (PSO) algorithm. Essentially the business spatial data illustrate the group behaviors. The swarm optimization, which is highly influenced by the behavior of creature, performs in group. The Spatial data is defined as data that is represented by 2D or 3D images. SQL Server supports only 2D images till now. As they know that location is an essential part of any organizational data as well as business data: enterprises maintain customer address lists, own property, ship goods from and to warehouses, manage transport flows among their workforce, and perform many other activities. By means to say a lot of spatial data is used and processed by enterprises, organizations and other bodies in order to make the things more visible and self-descriptive. From the experiments, they found that PSO is can facilitate the intelligence in social and business behaviour.

Dixit, P. et al. write about the Internet security. This topic deals with the information secure and the integrity of the data. Sending messages over the Internet secretly is one of the major tasks as it is widely used for passing the message. In order to achieve security there must be some mechanism to protect the data against unauthorized access. A lossless data hiding scheme is proposed in this paper which has a higher embedding capacity than other schemes. Unlike other schemes that are used for embedding fixed amount of data, the proposed data hiding method is block based approach and it uses a variable data embedding in different blocks which reduces the chances of distortion and increases the hiding capacity of the image. When the data is recovered the original image can be restored without any distortion. The experimental results indicate that the proposed solution can significantly support the data hiding problem. We achieved good Peak signal-to-noise ratio (PSNR) while hiding large amount of data into smoother regions.

Electronic File Download:
  Table of contents.