Global Navigation Satellite Systems (GNSS) such as Global Positioning System (GPS), GALILEO and GLONASS need atleast four satellite signals to find out the accurate position. But in some areas, due to the non-availability or blockage of the signals, GNSS alone doesn't provide the accurate position of the object. Pseudolites (PLs) are ground based transmitters which provide GPS like signals that augment GNSS constellations to enhance the accuracy, integrity, continuity and availability. However, Near-Far effect which reduces the service area is one of the major problems where pseudolites are used. In order to account for such a problem, a step-by-step power control technique has been proposed to enlarge the service area. Simulation results show that the PL with step-by-step power control outperforms much better than conventional PL. The service area using proposed PL resulted in 4 times wider service area than conventional PL. Also, coverage and outage probability are analytically obtained and comparative analysis of coverage probability for conventional and proposed PL has been presented.

KEY WORD: Pseudolite, Near-far, Coverage probability, Outage probability.

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TiO2 thin films were deposited by spray pyrolysis technique using TiCl3 and TiAcAc as precursors on glass substrate. The structural and optical characteristics have been studied with variation of precursor concentration and precursor. XRD showed the structural orientation of the films especially in (101) plane corresponding anatase phase of TiO2. Band gap energy, refractive index, extinction coefficient and dielectric constants were estimated from U-V absorption data. The variations of these optical parameters with molar concentrations and precursors had been studied. The intense green light emissions for the films at 0.05M and 0.1M for InCl3 precursor and U-V and violet emission for the films at 0.05M and 0.1M for TiAcAc precursor were observed in the PL spectra.

KEY WORD: TiAcAc, Pneumatic, Dielectric constant, organometallic.

Major seismic activity in India is concentrated along the Himalayan arc including the western Himalaya. A region in the vicinity of Main Boundary Thrust (MBT) and Main Central Thrust (MCT) bounded by latitude 29o N to 36o N and longitude 73o E to 80o E was considered for the study. Nine Seismogenic Source Zones (SSZ), were identified on the basis of seismicity and the tectonics around it. Seismic hazard parameters were computed for each source zone and return periods were calculated for different magnitude earthquakes. For validation of return periods, seven recent earthquakes were studied. Out of seven earthquakes three earthquakes of magnitude between 5.0 and 6.0 occurred in Kangra SSZ . Two Ground Motion Prediction Equations (GMPE's) were used to estimate peak ground acceleration (PGA) in the region. PGA in the region was estimated to vary between 0.013 g to 0.315 g for 10% probability of exceedance in 50 years, and between 0.024 g to 0.68 g for 2% probability of exceedance in 50 years. Highest PGA values ≥ 0.31 g were observed in Kangra and Chamba district of Himachal Pradesh. For the Kangra SSZ, a return period of 141 years was estimated for magnitude Mw = 8.0, 44 years for Mw = 7 and 14 years for Mw = 6. Results obtained in the present study were compared with other studies. This hazard analysis study underlines the urgency for carrying out vulnerability analysis to estimate the populations that are at risk to this threat perception, so that appropriate mitigation measures can be put in place.

KEY WORD: Hazard Parameters, Probabilistic Seismic Hazard Assessment (PSHA), Peak Ground Acceleration (PGA), Seismogenic Source Zone (SSZ), Western Himalaya

Poor sleep is a common feature in autism, but the impact of poor sleep on daytime cognitive functioning in autism is not well-known and we, therefore, investigated whether sleep in autism correlates with daytime cognitive performance. We used a Neuropsychological Test Cognitive Assessment (CANTAB). Significant correlations between sleep behavior and Big/little circle (BLC) were found. The findings of this study suggest that ASD children with sleep problems are facing deficits in learning and comprehension. However, the association between poor sleep and ASD requires the use of different types of Cognitive Assessment (CANTAB) tests and an increase in the sample size of the study.

KEY WORD: Autism, Sleep disorder, Cognitive Assessment

Investigative areas represented by the watershed of High Sebou in the middle Atlas of Morocco, are the Regrag spring, the spring Sidi Bouali and Tataw spring , their waters are used for irrigation and drinking water. To establish a diagnosis of physicochemical and bacteriological sources, water samples were collected on a monthly basis from January 2013 to December 2013. The principal component analysis allowed respectively (i) identify the parameters most describing the relevant water quality (ii) to highlight their variability over time (iii) to highlight the existing correlations between the different parameters. These water are of medium hardness, the conductivities show a low mineralization in Tataw spring, Regrag spring and Sidi Bouali spring. Some elements are more abundant than the others (especially Ca2+ and HCO3). Therefore, the dominant facies is chemical and hydrogen-type calcium carbonate. Analysis by CAP shows the various rallies by physicochemical parameters, and the impact factor "season" on their fluctuating concentrations. Very negatively correlated , the permanganate index and dissolved oxygen show an organic pollution in summer. In the same context, the bacteriological analysis shows that Regrag spring an Tataw spring are of lesser quality, strongly influenced by human activities, with the presence of fecal coliform type Escherichia coli and faecal streptococci, that are the result of recent anthropogenic pollution.

KEY WORD: physical chemistry, bacteriology, ACP, sources Middle Atlas

World wide web is a huge repository of information and there is a tremendous increase in the volume of information daily. The numbers of users are also increasing day by day. To reduce users browsing time lot of research is taken place. Clustering plays an important role in a broad range of applications like Web analysis, CRM, marketing, medical diagnostics, computational biology, and many others. Clustering is the grouping of similar instances or objects. The key factor for clustering is some sort of measure that can determine whether two objects are similar or dissimilar. Cluster analysis is a technique for deriving natural groups present in the data. Fuzzy clustering uses membership degrees to assign data objects to clusters in order to handle uncertain data that shares properties of different clusters. Fuzzy clustering is an appropriate method since it separates the objects that are definite members of a cluster from the objects that are only possible members of a cluster. In this paper we focus on comparing and analyzing different fuzzy clustering algorithm on web data set.

KEY WORD: Fuzzy clustering, FCM, GG, GK, K-means, K-mediod.