The automation surveying is one of the most influential changes to surveying concept and profession has had to go through, this has taken effect in two major courses, hardware (instrumentation used in data collection and presentation), and the software (the applications used in data processing and manipulation). Automation is majorly computer based and just like all such systems is subject to improvement often; this is manifested in the new kinds of instrumentation models every few years such as total station and newer versions of software’s. The software that has the potential to completely affect survey automation is Carlson Surveying Software. This when coupled with total station as data processing and collection methods respectively; is capable of greatly improving productivity while reducing time and cost required in the long run. However, it is only natural for users to desire a competent software and be able to choose from what is available on the market based on guided research and credible information from previous researches. Such studies not only help in choice of software but are also handy when it comes to testing approaches and recommending improvements based on advantages and disadvantages to the manufacturers to help in advancement in the software industry for better and more comfortable use. The expected outcome of the research is a successful implementation of Carlson survey 2009 software in survey works and a comparison with other existing software like Civil Design Software (CDS) was highlighted its advantages and disadvantages.

In many semi-arid countries in the world like Libya, drinking water supply is dependent on reservoirs water storage. Since the evaporation rate is very high in semi-arid countries, estimates and forecasts of reservoir evaporation rate can be useful in the management of major water source. Many researchers have been investigating the suitability of estimates evaporation rates methods in many climatic settings, infrequently of which were in an arid setting. This paper presents the modeling results of evaporation from Omar El Mukhtar Reservoir, Libya. Three techniques namely (artificial neural networks (ANN), Multiple linear regression (MLR) and response surface methods (RSM) ) were developed, to assess the estimation of monthly evaporation records from 2001 to 2009; their relative performance were compared using the coefficient of determination(E), mean absolute percentage error (MAPE%), and 95% confidence interval. The key variables used to develop and validate the models were: monthly (precipitation Rf., average temperature Temp., relative humidity Rh., sunshine hours Sh., atmospheric pressure Pa. and wind speed Ws.).  The encouraging results approved that the models with more inputs generally had better accuracies and the ANN model performed superior to the other models in predicting monthly Evp with high E=0.86 and low MAPE%= 13.9 and the predicted mean within the range of observed 95CI%. In summary, it is revealed in this study that the ANN and RSM models are appropriate for predicting Evp using climatic inputs in semi-arid climate.

The World Health Organization (WHO) report on the circumstances of clinical facilities in developing countries indicates that, there is considerable efficient delivery of medical services to the rural inhabitants where the services are available, these services are very expensive and not affordable to the average citizen. This has risen inadequacies such as prolonged suffering and even death. The slow process of diagnosis trial and error of diseases can be disastrous when a patient is at the advanced stage of a disease. Here we propose an automated system that can aid the diagnosis of sexually transmitted diseases and suggest adequate drug prescriptions and treatment. To achieve this, an extensive review on related diseases were reevaluated and a common type (gonorrhea) was used as an exemplary study. This is based on the Structure Systems Analysis and Design Methodology (SSADM). The paper as shown a system that is most effective and have a fast way of diagnosing and treating sexually transmitted diseases, which serves as a great relief for the doctors and even non-experts in the field.

The aim of this paper is to continue our study of information in the setting of Pseudo-Analysis. We shall present, by axiomatic way, the definition of measures of general conditional information and we shall study particular measure by using a system of functional equations in which it is present a pseudo-operation. We know that J.Aczel is the founder of the Theory of Functional Equations and he solved the so called ”Cauchy Equation”. The method used in this paper consists in reducing the principal equation, to some basic known equations solved by Aczel and his school. With Benvenuti we studied a generalization of the Cauchy Equation and following these our results, we are able to give the general solution of the system and the expression for this measure of general conditional information.