The use of audio information is useful for many applications, like e-learning, languages studies, conferences etc. The use of this kind of information is very frequent either for learning, for memorization or for the search of an audio subsequence dealing with a particular subject. People find difficulties in the use of information in his audio format and especially in the search for an audio sequence in different places. For this, and to help users, we focus our work on the problem of finding an audio subsequence in a distributed audio database. The search will be in voice mode where the user dictates a text into microphone. The goal is to receive the text dictated by user from the microphone and compare it with all sequences of the database and then returns the closest sequence to the dictated one. This goal requires a great work which will be proposed as a doctoral subject. In this paper we propose to acquire the query by playing a sequence of the database and to capture it by microphone. This paper presents a new system that identifies an audio subsequence using basic audio descriptors. Each audio document of corpus is pre-processed before the extraction of a set of basic audio descriptors, which characterize the temporal and the spectral information. Therefore, an audio signal is represented by a sequence of characteristics called in this paper "audio fingerprint". The search process is based on a new concept called “interference wave”. This wave is generated from the content of audio signals, and used to calculate the similarity rate between two audio signals.

It has been proven that fuzzy systems called type-1 fuzzy systems can approximate any nonlinear function to any desired accuracy because of the universal approximation theorem. The principal problem encountered with type-1 fuzzy systems is that they can deliver a non satisfactory performance in face of uncertainty and imprecision. In this paper, a new type-2 fuzzy system based on type-2 fuzzy basis functions was developed in order to use them in an indirect adaptive control.

Traditional food preparation requires fossil fuel producing pollution which induce to ecosystem’s damage, deforestation and health diseases. Solar cooker such as box type can be one of the solutions of this critical problems. This research paper deal with the temperatures and efficiency mapping of a realized box solar cooker. The cooker is designed with inclined aperture area, tested in Saharan hot climate of Ghardaîa. Several maps are generated by this study for summer and winter clear skies such as global solar radiation and concentrated irradiances. By using Black body temperature equation’s, maps for absorber temperatures are obtained, the efficiency map of the realized cooker is then deduced which allow the determination of the most exploitable areas corresponding to the climatic conditions of Algeria. It is found that the cooker can be used during all the year’s months in south regions of Algerian Sahara. In Sahara center regions, the use of the cooker will be reduced to 10 months (from February to November). The height plain can cook food with this device in all seasons of year accept in winter. However, the littoral regions can use the cooker only for 6 months in summer and spring seasons.

Wireless sensor network (WSN) is an emerging technology that aims to offer innovative capabilities. However, the sensor nodes present important limitations, mainly in terms of energy which depends on the lifespan of battery. This is why so many works focused on of the energy consumption. In this paper, we are interested especially in heterogeneous environment taking into account the communication and data routing algorithms. We present a new protocol called Hybrid Energy Efficient (H2E) Protocol for Heterogonous WSNs, which is an improvement of HEEP protocol [1] making it more scalable and supporting heterogeneity of nodes. H2E protocol is implemented using TinyOS embedded system. Simulations under Tossim are performed to evaluate the performances of the proposed protocol.

An intelligent diagnostic method based on 3-D plot continuous wavelet transform (3-D plot CWT) and fuzzy inference system is presented to investigate the detectability and classification of rotor broken bars faults in induction machine (IM) and to overcome the limitation of classical Fourier Transform (FT). This approach is successfully used with Motor Current Signature Analysis (MCSA) and suitable developed model of IM in healthy and faulty mode using Matlab environment. As first step we performed new results using 3-D plot CWT to extract the discriminating features. The features extracted from the wavelet transformed signal are the second most predominant frequency, the time range at which it occurs and the corresponding wavelet coefficients .Then as second and last step a fuzzy Inference system is designed and implemented using Matlab software with these three features extracted from the wavelet transformed signal as inputs and generates an output that classifies the fault and no