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Authors:GAMAL A. HUSSEIN, MOSTAFA A. NOFAL, MOAWAD I. DESSOUKY, OSAMA ALY ORABY, WALEED AL-HANAFY, ABD EL-NASER A. MOHAMED, IBRAHIM M. ELDOKANY, EL-SAYED M. EL-RABAIE, SALEH A. ALSHEBEILI, FATHI E. ABD EL-SAMIE Abstract: International Journal of Information Acquisition, Volume 09, Issue 03n04, September & December 2013. Low earth orbit (LEO) satellite systems allow a broad range of services to be provided using small, lightweight, cellular-like portable telephones. Exploiting LEO satellites to support distress signals for aircrafts, ships and international travelers is explored in the current paper. A multi-service priority-oriented algorithm is proposed for handling voice, data and emergency signals over LEO satellites. The emergency signal is privileged with service priority so that rescue operation can be carried out as soon as possible. The priority mechanism includes channel reservation as well as joining a queue if no free channel is available as long as the request is roaming in the handover area. In addition, a simplified but efficient approach is suggested for locating the object of an imminent danger situation. As LEO satellites are non-geostationary, the visible period of each spot-beam is small. Consequently, a teletraffic model, that accommodates the mobility of spot-beams as well as the resulting handover rate, is developed in order to gauge the performance of the proposed algorithm. Numerical results for access denying and service-dropping rates are presented for nominal system parameters. Citation: International Journal of Information Acquisition PubDate: 2014-05-19T07:22:36Z DOI: 10.1142/S0219878913500186 Issue No:Vol. 09, No. 03n04 (2014)
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Abstract: International Journal of Information Acquisition, Volume 09, Issue 03n04, September & December 2013.
Citation: International Journal of Information Acquisition PubDate: 2014-05-19T07:22:34Z DOI: 10.1142/S0219878913990015 Issue No:Vol. 09, No. 03n04 (2014)
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Authors:MARK LIEBERMAN, RADU MURESAN, SIMON X. YANG, DAVID DOYLE Abstract: International Journal of Information Acquisition, Volume 09, Issue 03n04, September & December 2013. This work investigates the potential use of temperature modulation of MOS gas sensors combined with the Hilbert–Huang transform (HHT) as a feature extraction mechanism for MOS-based electronic noses. Five samples each of ethyl acetate, ethanol and isopropanol were prepared. The response of each of four sensors in an array was decomposed using empirical mode decomposition and the marginal Hilbert spectrum was computed. A set of 72 frequency components was extracted from marginal Hilbert spectrum response of each sensor in an array of four sensor to produce a 288 element fingerprint of each sample. The fingerprints were successfully clustered using PCA and classified using a SVM neutral network. Citation: International Journal of Information Acquisition PubDate: 2014-05-19T07:22:21Z DOI: 10.1142/S0219878913500149 Issue No:Vol. 09, No. 03n04 (2014)
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Authors:YUANYUAN XU, BIN KONG, HU WEI, QIANG TIAN Abstract: International Journal of Information Acquisition, Volume 09, Issue 03n04, September & December 2013. In intelligent vehicle system, it is significant to detect and identify road markings for vehicles to follow traffic regulation. This paper proposes a method to recognize direction markings on road surface, which is on the basis of detected lanes and uses Hu moments. First of all, the detection of lanes is based on horizontal luminance difference, which converts the RGB color image to the luminance image, calculates the horizontal luminance difference, obtains the candidate points of lanes' edge and uses least square method to fit the lanes. Secondly, with the detected lines as guide for the search of candidate marking, the paper extracts Hu moments of candidate marking, calculates its Mahalanobis distance to every marking type and classifies it to the type which has the minimal distance with the candidate marking. From the simulation results, the method to detect lanes is more effective and time-efficient than canny or sobel edge detection methods; the method to recognize direction marking is effective and has a high accuracy. Citation: International Journal of Information Acquisition PubDate: 2014-05-19T07:22:18Z DOI: 10.1142/S0219878913500162 Issue No:Vol. 09, No. 03n04 (2014)
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Authors:M. E. MADKOUR, S. E. SOLIMAN, M. I. DESSOUKY, F. E. ABD EL-SAMIE Abstract: International Journal of Information Acquisition, Volume 09, Issue 03n04, September & December 2013. Transmission of data over wireless sensor networks (WSNs) poses significant constraints on the energy and bandwidth of the communication system. We consider the problem of decision fusion in a distributed detection system in a classical parallel fusion structure by incorporating the fading channel layer that is omnipresent in WSNs. We use channel coding and transmit diversity schemes, equal gain combining (EGC) and maximum ratio combining (MRC). We employ a multi-carrier modulation scheme over the wireless communication channel. This paper proposes the use of Hamming, low-density parity-check (LDPC) coding, or Viterbi coding. Interleaving is also suggested in this paper using chaotic Baker map randomization for the reduction of the bit error rate (BER). Moreover, the chaotic interleaving adds a degree of security to the transmitted data. Simulation results show that the application of coding and interleaving achieves a performance improvement in the WSN. Citation: International Journal of Information Acquisition PubDate: 2014-05-19T07:22:08Z DOI: 10.1142/S0219878913500174 Issue No:Vol. 09, No. 03n04 (2014)
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Authors:XIAOLI YANG, YIFAN CAI, CHARLES TSENG Abstract: International Journal of Information Acquisition, Volume 09, Issue 03n04, September & December 2013. To enhance the effectiveness of learning genetics, we have developed a series of individual computer programs integrating interactivity with animated processes. It was noted that, although the content of the programs varied, the programs all contained a number of common features, including the ability to display text and images, present animated content, and interact with the user. These common features led us to the development of an innovative and unified framework of integrated functions for modeling and simulations. The framework, named "GeneAct" was developed to standardize and accelerate the development of the computer based genetics learning programs and was used as the application programming interface (API). The API allows the content to be imbued with rich text (text with multi-formats), static images, and animations; and it also allows the program to be interactive. Citation: International Journal of Information Acquisition PubDate: 2014-05-19T07:22:00Z DOI: 10.1142/S0219878913500198 Issue No:Vol. 09, No. 03n04 (2014)
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Authors:SUBHASH CHANDRA PANDEY, GORA CHAND NANDI Abstract: International Journal of Information Acquisition, Volume 09, Issue 03n04, September & December 2013. We propose an artificial endocrine system (AES) for extracting the knowledge from database so that effective and reliable decision rules can be constructed. The proposed AES mimics the functionality of biological endocrine system (BES) to some extent. A mathematical model is proposed for expressive representation of endocrine system as well as for homeostasis. Further, different aspects of our proposed "Artificial endocrine system for knowledge discovery" (AESKD) have been compared with state of art classifiers e.g., support vector machine, neural network, radial basis function (RBF) network and K-NN for some bench mark datasets. Citation: International Journal of Information Acquisition PubDate: 2014-05-19T07:21:58Z DOI: 10.1142/S0219878913500150 Issue No:Vol. 09, No. 03n04 (2014)