ISSN 2253-0150

Editor-in-Chief :
Mohamed Ridda LAOUAR

Table of contents:
Volume 2 issue 1 - Current Issue
Published: 2014


- Victoria Lopez, Guadalupe Miñana, Beatriz González-Perez and Raquel Caro
Big and Open Data. Some challenges for Smartcity
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The way of thinking on Big Data and Open Data and their use by organizations or individuals is a trending topic nowadays. Big Data is explained from collecting, storing, analyzing and putting in value. At the same time, movements about rights on public data have been increased their presence and force. Data which come from government must be open. Every day more and more cities and countries are opening their data. Open Data has emerged as a new paradigm of public data with a special role in Smart City. The main goal of Big and Open Data in Smart City is to develop systems which can be useful for citizens and which improves the real meaning of e- Government. In this work we analyze how both private enterprise and government manage to improve their data value and we also give some examples of applications within Madrid as a Smart City.

- Reham Al-Haidary, Heba Mohammad. Imam Muhammad ibn Saud Islamic University, Saudi Arabia
Applying TAM in Customer Adoption of U-Commerce: An Extended Model
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Ubiquitous commerce provides great business opportunities for companies and personalized services for customers. Though, cus- tomers have some concerns that a ect the adoption of this new tech- nology. In the prior literature, many researchers have studied the user's concerns and issues regarding u-commerce adoption. However, there was no enough research on how culture may a ect customers' intentions. This paper proposes a framework to identify the factors that impact the customers' behavior towards u-commerce services in Saudi Arabia. It ex- tends TAM with extra constructs such as: privacy, security, subjective norm and trust. This research contributes to existing literature by inves- tigating the factors that inuence customer's adoption of u-commerce in Saudi Arabia.

- Zhou Zhong, Kaizhi Huang and Huiqing Bai. National Digital Switching System Engineering & Technological Research Center. China.
Using 2-Dimensional Classified Normalized BPbased Algorithm for LDPC Codes
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A BP-based algorithm with 2-dimensional classified normalized correction was developed to reduce the complexity and improve the performance of decoding algorithm for the low density parity check (LDPC) codes. The algorithm first utilizes classification according to the absolute values of incoming messages in check nodes. Then it uses 2-dimensional normalization to correct the minimum and sub-minimum values. The 2-dimensional normalized factors can be calculated respectively by using probability and statistic theory in the initialization step. Simulation results illustrate that the proposed algorithm achieves better performance in BER and average iteration number than normalized BP-based algorithm in the high SNR region, i.e., it can achieve 0.4dB SNR gain and reduce 20% number of iterations at BER=10−5 , whose complexity is also much less than that of BP algorithm. It is a good algorithm that offer better trade offs between performance and complexity.

- Dalel Kanzari and Khaled Mellouli. University of Monastir, Tunisia
Psyrational strategy to simulate negotiator’s behavior on bilateral automated negotiation
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Bilateral automated negotiation is a process of concession making to resolve conflicts between two autonomous agents. The aim is to reach a final agents’ agreement by proposing a series of offers and counter-offers. The content of such offer is function of strategies and agents’ decision-making process. Autonomous agents could be intelligent software entities, distinguish by a psychological character (such that conciliatory, neutral or aggressive), and a rational reasoning to take part in the process of searching gain with eventual agreement. Nevertheless in a dynamic environment, with incomplete information about the others tactics, agents have to make carefully winning actions to achieve their desired purpose. This paper presents a combination of a psychological approach (survey of negotiator behavior during negotiation process) and a rational approach (survey of negotiator collaboration) to simulate a complex negotiation behavior of a called psyrational agent.

- J.K. Ravan and S.R. Chougule
High Data Rate UWB System Design
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UWB technology is a serious candidate for the new emerging Wireless Personal Area Network (WPAN). In this context UWB is expected to provide very high data rates ≥ 500Mbps for short range communication. Many physical layer schemes have been proposed to address such rates on the wireless medium. Historically pulse based systems have been first proposed as the main modulation technique for UWB. The pulse based modulations inherently occupies a very large bandwidth (several GHz), which is required due to the very low emitting power. This technique is currently considered for low data rate in the sensor network context, but seems to be discarded for high data rate transmissions. Another physical layer, Multi Band Orthogonal Frequency Division Modulation (MB-OFDM), has been proposed within the IEEE802.15.3a task group. This technique is based on the well known OFDM scheme which allows good immunity towards multipath channels. In this proposal, only a 500MHz band is used at a given time, and a frequency hopping technique spreads the signal over several GHz. Finally, Direct Sequence Spreading (DSS) has also been proposed in the UWB framework (DSUWB). In this scheme, the data are spread over few GHz of bandwidth by means of very high rate sequences. In the existing proposal, the difficulty comes with the increase of the data rate, which imposes to shorten the spreading sequences. As a consequence there is an increase of the interference which results either in performance degradation or in receiver complexity increase.