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Journal Cover   ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal
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  This is an Open Access Journal Open Access journal
   ISSN (Print) 2255-2863
   Published by Universidad de Salamanca Homepage  [3 journals]
  • Obtaining Relevant Genes by Analysis of Expression Arrays with a
           Multi-Agent System

    • Abstract: Triple negative breast cancer (TNBC) is an aggressive form of breast cancer. Despite treatment with chemotherapy, relapses are frequent and response to these treatments is not the same in younger women as in older women. Therefore, the identification of genes that provoke this disease is required, as well as the identification of therapeutic targets.There are currently different hybridization techniques, such as expression ar-rays, which measure the signal expression of both the genomic and tran-scriptomic levels of thousands of genes of a given sample. Probesets of Gene 1.0 ST GeneChip arrays provide the ultimate genome transcript coverage, providing a measurement of the expression level of the sample.This paper proposes a multi-agent system to manage information of expres-sion arrays, with the goal of providing an intuitive system that is also extensible to analyze and interpret the results.The roles of agent integrate different types of techniques, from statistical and data mining techniques that select a set of genes, to search techniques that find pathways in which such genes participate, and information extraction techniques that apply a CBR system to check if these genes are involved in the disease.
      PubDate: 2015-05-16
      Issue No: Vol. 3 (2015)
  • INDEX VOL 3 N 3

    • Abstract: The Advances in Distributed Computing and Artificial Intelligence Journal (ADCAIJ) is an open access journal that publishes articles which contribute new results associated with distributed computing and artificial intelligence, and their application in different areas. The artificial intelligence is changing our society. Its application in distributed environments, such as the Internet, electronic commerce, mobile communications, wireless devices, distributed computing and so on, is increasing and becoming and element of high added value and economic potential in industry and research. These technologies are changing constantly as a result of the large research and technical effort being undertaken in both universities and businesses. The exchange of ideas between scientists and technicians from both academic and business areas is es-sential to facilitate the development of systems that meet the demands of today's society. We would like to thank all the contributing authors for their hard and highly valuable work. Their work has helped to contribute to the success of this special issue. Finally, the Editors wish to thank Scientific Committee of Ad-vances in Distributed Computing and Artificial Intelligence Journal for the collaboration of this special issue, that notably contributes to improve the quality of the journal. We hope the reader will share our joy and find this special issue very useful.
      PubDate: 2015-05-11
      Issue No: Vol. 3 (2015)
  • Real-time Identification of Respiratory Movements through a Microphone

    • Authors: Juan CASTRO, Pere MARTI-PUIG
      Abstract: This work presents a software application to identify, in real time, the respiratory movements -inspiration and expiration- through a microphone. The application, which has been developed in Matlab and named ASBSLAB for the GUI version and ASBSLABCONSOLE for the command-line version, is the result of a research and experimentation process. A total of 48 minutes of breathing movements from four subjects was recorded and 18 acoustic features were extracted to generate the data model. A first level of identification, based on the classification of tiny audio segments, was designed using kNN supervised method. The second level of identification implements a state machine that takes the results ordered in the time from kNN as input and identifies the whole respiratory movement, achieving a level of positive identifications above 95%. As computation time is a handicap, the application let the user choose easily the sample rate, the audio segment size and the set of acoustic features to use in the identification process. In addition, based on the number of features selected, this works suggests those that achieve best results.
      PubDate: 2015-05-09
      Issue No: Vol. 3 (2015)
  • Supporting Informed Decision Making in Prevention of Prostate Cancer

    • Authors: Constantino MARTINS, Ana Rita SILVA, Carlos MARTINS, Goreti MARREIROS
      Abstract: Identifying and making the correct decision on the best health treatment or screening test option can become a difficult task. Therefore is important that the patients get all types of information appropriate to manage their health. Decision aids can be very useful when there is more than one reasonable option about a treatment or uncertain associated with screening tests. The decision aids tools help people to understand their clinical condition, through the description of the different options available. The purpose of this paper is to present the project “Supporting Informed Decision Making In Prevention of Prostate Cancer” (SIDEMP). This project is focused on the creation of a Web-based decision platform specifically directed to screening prostate cancer, that will support the patient in the process of making an informed decision
      PubDate: 2015-05-08
      Issue No: Vol. 3 (2015)
  • A Novel Pilot Expansion Approach for MIMO Channel Estimation

    • Authors: Ming Fei SIYAU, Tiancheng LI, Jonathan LOO
      Abstract: A training-based MIMO channel estimation scheme is presented to operate in severe frequency and time selective fading channels. Besides the new pilot bits designed from the ‘Paley-Hadamard’ matrix to exploit its orthogonal and ‘Toeplitz-like’ structures and minimising its pilot length, a novel pilot expansion technique is proposed to estimate the length of the channel impulse response, by flexibly extending its pilot length as required in order to capture the number of multipath existed within the MIMO channel. The pilot expansion can also help to deduce the initial channel variation and its Doppler rate which can be subsequently applied for MIMO channel tracking using decision feedback Kalman filter during the data payload.
      PubDate: 2015-05-08
      Issue No: Vol. 3 (2015)
  • A Future Look

    • Abstract: Since the Industrial Revolution, some believe that the machines will take the place of men, their simplest task to the most sophisticated. Others, that technology has transformed the habits of society and improves his quality of life. This article debates the technology and its relationship with the man, the automation of human occupations and the impact on their daily lives.Although the issue travels in the realm of science fiction, the man faces specifically with the machine in carrying out their professional activities, in meeting their reproductive needs, including entertainment. To address this issue, it was essential to recover the debate on the Law of Declining Trend Profit formulated by Karl Marx in Capital Rate and illustrates, recover the work of Isaac Asimov's fiction, I, Robot.
      PubDate: 2015-05-08
      Issue No: Vol. 3 (2015)
  • A Study on the Key Management Strategy for Wireless Sensor Networks

    • Authors: Hoon KO, Kita BAE, Goreti MARREIROS, Haengkon KIM, Hyun YOE, Carlos RAMOS
      Abstract: Many users who are in a cyber-space usually want to join the social group to have or to share their information. Now, there are two ways to join the group, the group manager invites them, and the users who want to join ask the owner. These days the group polices usually follow this way. But, it can be faced a security problem when the manager send group messages in near future because they don’t have any securities. Therefore, the security modules to join groups will be needed when they join the group or when they read the group messages. To set the security, we have to think how to keep the key such as a generation /an update/an arrangement, because all users need the key to join the groups or to read the group messages by decrypting. The key are going to be used to joining the group when it dynamically changes such as frequent group joining and leaving. If it applies or uses the existing methods in the smart cities which consider the users who will move globally, it could easily assume that the overhead/the cost of CPU will be increased and it follows capacity down because of lots of the key updates. So, to let them down, we suggest three key strategies, a group key, a subgroup key and a session key in this paper.
      PubDate: 2015-05-08
      Issue No: Vol. 3 (2015)
  • A HMM text classification model with learning capacity

    • Authors: Eva L. IGLESIAS, Lourdes BORRAJO, R. ROMERO
      Abstract: In this paper a method of classifying biomedical text documents based on Hidden Markov Model is proposed and evaluated. The method is integrated into a framework named BioClass. Bioclass is composed of intelligent text classification tools and facilitates the comparison between them because it has several views of the results. The main goal is to propose a more effective based-on content classifier than current methods in this environment To test the effectiveness of the classifier presented, a set of experiments performed on the OSHUMED corpus are preseted. Our model is tested adding it learning capacity and without it, and it is compared with other classification techniques. The results suggest that the adaptive HMM model is indeed more suitable for document classification.
      PubDate: 2015-05-08
      Issue No: Vol. 3 (2015)
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