In this research, we present freight status app as mobile application in android and iOS devices. We used Dart language and Flutter framework for developing the management system. Flutter is Google’s portable user interface structure for making top notch local interfaces on Android and iOS in specific time. Flutter operates with existing code, is utilized by engineers and associations around the globe, and it is release and not closed source. Superior and efficiency in Flutter are accomplished by utilizing a few strategies. Dart is a coding language that we will use to build up our application in Flutter. The system has been designed by IntelliJ IDE. Clients are able to browse Freights Status mobile application, check relegation of merchandise committal cost standard, glance through enterprises news, and freight data and industry patterns by means of application. Through the framework behind the stage the board, charging staff can build up and alter dispatch notes; charging individual and accepting representatives can check transfer data. Flutter applications are achieved in the Dart coding language and aggregate to local code, so the exhibition is outrageously extraordinary. Dart is a customer enhanced language for quick applications on any stage made by Google.

The design and operation of any solar energy system requires a good knowledge of the solar radiation data in a location. This data finds application in agriculture, climatology, meteorology, etc. Since the solar radiation reaching the earth’s surface varies with climatic conditions of a place, a study of solar radiation under local climatic condition is essential. Global solar radiation is of economic importance as renewable energy alternatives. In this research 14 Iraqi climatic stations radiation data were used for the years 2013 to 2015.  Data have been designed and calculated by using Excel.  ArcGIS 10.2 is used for spatial interpolation and mapping activities. Surface radiation map have been generated by using ordinary kriging interpolation technique. Different models are tested, namely Spherical, Gaussian and Circular model. Creation of digital grid maps makes it possible to obtain climatic information at any point, whether there is a weather station or not. Results show that the spherical model outperforms Gaussian and circular models.

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<p>Given a social graph, the influence maximization problem (IMP) is the act of selecting a group of nodes that cause maximum influence if they are considered as seed nodes of a diffusion process. IMP is an active research area in social network analysis due to its practical need in applications like viral marketing, target advertisement, and recommendation system. In this work, we propose an efficient solution for IMP based on the social network structure. The community structure is a property of real-world graphs. In fact, communities are often overlapping because of the involvement of users in many groups (family, workplace, and friends). These users are represented by overlapped nodes in the social graphs and they play a special role in the information diffusion process. This fact prompts us to propose a solution framework consisting of three phases: firstly, the community structure is discovered, secondly, the candidate seeds are generated, then lastly the set of final seed nodes are selected. The aim is to maximize the influence with the community diversity of influenced users. The study was validated using synthetic as well as real social network datasets. The experimental results show improvement over baseline methods and some important conclusions were reported.</p>