For Arabic letters recognition, we achieve three of pattern recognition approaches namely gray level co-occurrence matrix (GLCM), local binary pattern recognition (LBP) and artificial neural network (ANN) and compare between them to result best performance. Two of these methods level co-occurrence matrix and local binary pattern recognition are used for feature extraction whereas in artificial neural network (ANN) we use the intensity values of pixels for input of the neural network. Two classifiers are used, the K-Nearest Neighbor classifier (KNN) for the LBP, GLCM and neural network classifier for (ANN) artificial neural network. Also, we evaluate the results by using leave one person out approach, fold classification and leave one out.

Marketing experts have debated for more than two decades about the effect of nationality and culture on marketing. However, most research on this issue was conducted in Western countries. An important question for marketers in the international arena, therefore, is whether the consumer's responses (i.e., sentiment and behavioural aspects) toward the global marketing programs in developing countries depend on culture. In a research representing a large sample of consumers and four different home appliances country-of-origin global operators in Libya, we explore the potential role of culture on consumers' responses toward foreign marketing programs. Results indicate that although the foreign companies have a tendency to adopted standardisation perspective, this does not impact on consumers' responses in a single cultural context toward marketing. The findings reveal that buying behavior was more a function of individual difference than of national cultural context. Further, our results suggest that for mainstream home appliances, segmenting on the basis of nationality is probably unnecessary and that a standardized approach would likely be successful across an increasingly relevant Arab world; and that continuing perceptions of Arab insularity are likely to be misplaced. Faced with the effectiveness of globally efficient marketing programs, local manufacturers would need to work hard to identify particular niche segments where a culturally-specific appeal might be more successful

Keywords: buyer's characteristics, consumer behaviour, the Arab World, marketing program, home appliances

In this paper we introduce a new fractional generalization of the

Smith's formula for the classical generalization of the Drude

equation. The generalized Drude formula described was proposed

originally to account for the unusual behavior of the optical

properties of mercury and its amalgams, it can be used for liquid

tellurium and some quasicrystals.

Two new fractional entropy functions, first, based on extension of

Ubriaco and Shafee approach, and second, the generalization

through the use of concept of expansion of linear fractional

distributed order derivative, is proposed. The first entropies are the

two-parametric functions. The second entropy is a linear

combination of the above functions. Then they have the same

properties as the Shannon entropy except additivity. For q1, q2 

(0,1], these entropies satisfy the third law of thermodynamics in

the Bento sense, and, for q1 ≤ 1 and q2 ≥ 1, the Lesche stability

criteria.

ABSTRACT

In the 21st century, climate change is considered one of the greatest environmental threats to the world, and it has greater negative impacts on human society and the natural environment. All the IPCC's reports concluded that we should prepare scenarios and strategies for under the conditions of forthcoming global change. This study presents the projections of future changes under HadCM3 A2a and HadCM3 B2a SRES scenarios using the statistical downscaling model (SDSM) in the period (2020-2099) and their link to the planning of sustainable development in Libya. Results of downscaling show that the SDSM model can be well acceptable regard its performance. The result of the SDSM model showed great reliability of SDSM in ascertaining changes for the periods; (2020-2039), (2040-2059), (2060-2079) and (2080-2099), relative to 1961–1990. Trend analysis in Libya showed an increase in average annual and monthly temperature, compared to the baseline period for both HadCM3A2a and HadCM3B2a scenarios in both the dry and wet seasons. Thus, there is likely to be a significant warming in local surface temperature, which is enough for a significant change on the energy balance and is likely to affect water availability. The SDSM is well to help decision-makers understand the expectations of the change in extreme temperatures in the future and its environmental and economic impacts and social in Libya.

Keywords: Statistical downscaling model, SDSM, Intergovernmental Panel on Climate Change IPCC, General circulation model, GCM, HadCM3 Hadley Climate Model version, Temperature, Libya.

Field experiment was conducted to evaluate the correlation relationship between the yield of two localized wheat genotypes (Triticum aestivum,) Acsad 901 and Salamboo and Olsen phosphorus soil test (0.5 M of NaHCO3 at pH 8.5) values. The experimental site was run at west sector of Libya. The experimental site pH was 8.4 and the texture is sandy The experiment consisted of three replicates and three phosphate fertilizer rates which equivalent, (0, 60, and 120) kg P2O5 ha-1 for both genotypes. The results of grain yield of the experiment were expressed by relative values (Relative Yield). The relative yield (RY) illustrated the relationship between soil test values and the grain yield clearly. Very close correlation relationship (r = 0.98 ) between relative yield of grain and the soil test values of Salamboo was found whereas Acsad genotypes was achieved less correlation( r =0.69) at 0 kg P2O5 ha-1 for both genotypes. The similarity between the two genotypes was very close (r = 0.99 ) for treatments that received high phosphate rate.

this paper derives extended three-stage recursive identification algorithm of MISO for (CARARMA) systems. Based on The decomposition technique, four subsystems are obtained and the parameters of each subsystem are identified. Some model validation methods are computed to measure the model value and Akaike’s Final Prediction Error Criterion (FPE) is used to verify the selection of system order. The algorithm has a high computational efficiency because the covariance matrices dimensions become small in each subsystem. Finally, this algorithm effectiveness is demonstrated in simulation example.