Ali Kalakech

Toward new vision of XLINK

In this article, we present the limitations of HTML hyperlink and how could be solve it by using a new XML based language XLINK. Till now there is neither clear specification nor implementation of this language, a new comprehensive design using UML is proposed.

Network Layer Benchmarking: Investigation of AODV Dependability

In wireless sensor networks (WSN), the sensor nodes have a limited transmission range and storage capabilities as well as their energy resources are also limited. Routing protocols for WSN are responsible for maintaining the routes in the network and have to ensure reliable multi-hop communication under these conditions. This paper defines the essential components of the network layer benchmark, which are: the target, the measures and the execution profile. This work investigates the behavior of the Ad Hoc On-Demand Distance Vector (AODV) routing protocol in situations of link failure. The test bed implementation and the dependability measures are carried out through the NS-3 simulator.

Selection of income indicators for Middle East country classification

Laplacian score used to select the most relevant income (input) indicators for Middle East countries, has shown good classification performances of those countries, while reducing their input indicator space. In this paper, we propose a new way to calculate the similarity matrix used by this Laplacian score in order to perform the selection. This similarity matrix is calculated using selected outcome (output) indicators. Based on this matrix, a Laplacian score is attributed to each input indicator. These indicators are then ranked according to their scores and the most discriminant ones are selected. Results show the interest of the proposed approach for indicator selection to perform classification of those Middle East countries. They also reveal that the women participation is a critical dimension of the development process of a country.

Selection of world development indicators for countries classification

Middle East countries, characterized by many income and non-income development indicators, can be classified into different groups that reflect the diversity in human development across those countries. However, few of these available indicators are relevant for the classification purpose, and thus, it is important to perform an indicator selection stage before operating the classification. In this paper, we use the Laplacian score to select the most relevant income indicators. This Laplacian score is based on a similarity matrix which is usually calculated using the income indicators. However, the non-income indicators may contain important information that is not taken into consideration in the selection procedure. So, we propose to use the non-income indicators to build the similarity matrix used by the Laplacian score. Results show the interest of the proposed approach for indicator selection to perform classification of those Middle East countries. They also reveal that the women participation is a critical dimension of the development process of a country.

Multi-Nary Content Addressable Memory Based on Artificial Neural Networks

away from strict Boolean logic, this paper propose a new design of memory array that has the ability to recognize erroneous and deformed data and specify the rate of error. To achieve this work, artificial neural network was exploited to be the actor responsible of representing the crude of the building. Its worth mentioning that simple neurons with binary step function and identity function were used, which will facilitate the way of implementation. The connection of few neurons in a simple network issues an exclusive X gate, which accepts only one value X (where X ∊ ℝ +) with an acceptable error rate α. This gate will be the main core of designing a memory cell that can learn a value X and recognized this value when requested. After several stages of development, the final version of this memory cell will serve as a node unit of a large memory array which can recognize a data word or even a whole image with the ability to accept and recognize distorted data. Specific software that simulates the designed networks was developed in order to declare the efficiency of this memory. The obtained result will judge the Network.