In the last few years, the computer network technology has been improved by a large scale and therefore has influenced the application of distributed DATA BASE systems for a better reliability, performance and inexpensive query processing. Hence, new application and DATA BASE architecture for distributed DATA BASE system need to be developed and several challenging issues have to resolved by research communities around the world. The major challenging issues for this new generation of DATA BASE system deal with allocation, replication and portioning DATA and influences of each other for a better design.In this paper, we present a heuristic and efficient algorithm to solve the problem of DATA portioning and allocation at the same time. The DATA portioning is vertically broken into two or more segments that are most efficiently allocated to DATA BASE sites. To provide an efficient and cost effective portioning and allocation, an object function is developed and used for each iteration to intelligently getting closer to the optimized result. To examine the correctness of the algorithm, a typical problem is solved and then the results are discussed in this paper. A software package is implemented to be used for designing a distributed DATA BASE system

Technological development in production and use of materials has introduced growing demand to a powerful process kinetic DATA-BASE. Opposite to the thermodynamic information’s available, rate processes suffer from complex formulation techniques and lack of a standard presentation method. Optimum metallurgical reactor design and control can only successfully be achieved via convenient compilation, standardization and recovery of the kinetic DATA. Recent developments on creation of a comprehensive metallurgical kinetic DATA-BASE utilizing a powerful search engine assisted with an electronic DATA compilation system are discussed in this paper. The empirical/theoretical DATA can be cross-checked through the application of the kinetic laws as well as the mathematical simulation models available. Electronic DATA-transfer methods are convenient routes for transfer of the collected information.

The study of motorcyclists’ vulnerability in roads and highways has not received adequate attention and it seems there would be a need for extensive study in this field. That is why in this paper we are about to investigate factors influencing accident severity of motorcyclists and to predict severity level of accidents due to the human, road, weather and vehicle factors as predictor factors. Motorcycle accidents DATA for developing models were extracted from DATABASE of Tehran Traffic Police Department for the years 2003 to 2007. Then, the DATA associated with traffic characteristics, such as volume and flow speed and highways geometrical characteristics, were collected from Tehran Traffic and Trans-potation Organization and Tehran Comprehensive Traffic and Transportation Studies Company, respectively.In the present paper, the severity of accidents was classified into two levels, “injury or fatality” and “property damage” and, then, to model, analyze and compare the results, they were processed through two methods; first, the mixed logistic method was used by means of SPSS software and then other models were developed by a series of artificial neural networks.The results of the two methods, i.e. the logistic and artificial neural networks methods, were compared, showing that artificial neural networks are better estimators than logistic models. Comparing the results prove the reliability of new methods BASEd on natural evolutionary algorithms, like neural networks, when dealing with irregular objective functions.

Environmental studies require an environmental gridded DATABASE. Environmental change, and climate change studies are not possible without a gridded climate DATABASE. In those environmental studies that cover a geographical area, but the necessary DATA is available for a restricted number of points (for example, meteorological stations) and not for the entire area under study, interpolation is required to convert the point DATA to areal DATA. In other words, it is necessary to create a network DATABASE. The first sample of such DATABASEs for Iran called Asfezari was introduced in 1996 at the University of Isfahan. This article introduces the process of preparing the third version of the Asfazari rainfall DATABASE prepared at the University of Isfahan. This gridded rainfall DATABASE is provided in a conical Lambert projection system. Its temporal resolution is daily and its spatial separation is ten kilometers. This DATABASE covers the daily rainfall of the mainland of Iran from 1349/01/01 to 1394/12/29. The error in estimating the average rainfall in this DATABASE is less than 15%. In preparing this DATABASE, the daily rainfall DATA of 2188 meteorological stations (including synoptic stations, climatic stations and rain gauge stations) of the Meteorological Organization of Iran (IRIMO) have been used.

Esthetic is a natural necessity among all human beings, and the reconstruction of the natural features of prosthesis is considered an important aspect in dentistry. Reconstruction of the natural features in removable prosthesis by characterization of denture BASE is one of the most important factors. In this regard esthetic, in removable prostheses, is achieved through different techniques such as: tooth selection and arrangement, designing the denture BASE and acrylic BASE color. The final goal for all these effects is to achieve a natural appearance for denture. However, other factors such as treatment limitations, different personal needs and general health principles, should be taken into consideration. This article not only reviews the natural appearance of oral mucosa that is replaced by the denture BASE, but also discusses about the materials used in tinting acrylic denture BASE and their application techniques.

The neoclassical growth model is tested by use of panel DATA procedure in this research. In the econometric test, simoultanously time series and cross detection will be compared on the basis of panel DATA method through which their observed points increase and consequently the estimation efficiency will be increased. The examination of neoclassical growth theory has been done with reference to external & internal factors of 52 selected countries from 1960 to 2000. The independent variable of model has been selected on the basis of the result of previous research which explains the result in three separate models: developed countries, developing countries, and whole countries. These factors are such as: Gross National Products with lag of period, work force age, growth rate, education level, the change of capital accumulation and economic trade volum. The consequences of this research is that: neoclassical growth model can explain the major part of economic growth of the countries with use of internal variables. Also with the use of panel procedure of fixed effect, we can see the fundamental differences and structure of the growth process for different countries; and show how the economic, and social conditions affect on the growth.

One the challenging in hardware performance is to designing a high speed calculating unit. The higher of calculations speeds in a computer system will be pointed out in terms of performance. As a result, designing a high speed calculating unit is of utmost importance. In this paper, we start design whit this knowledge that one multiplier made of several adder and one divider made of several sub tractor. Therefore, if the fast adder or fast multiplier designed, performance will be improved. In this design, a circuit is designed in a manner that without a need for transforming numbers or letters from the given BASEs into binary BASEs, the multiplication of two numbers for the same BASE is done in that BASE. Reduction in the number of conversions in the calculating unit, causes reduction in the consumption power and an increase in the operating speed of the system. In this design, a very small DATA Oriented Memory is used to save numerical and character DATA.