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Content available remote Hurdles For Designing Flowcharting Process
EN
To develop programming language skills, there are many tools available which have been developed to introduce the basics of programming to new-comers in the area of programming. Whatever tools are there for the programming environment of flow chart based notation depends on the interference of user with the system. The flowchart-based Environment depends on the intermediate code generated but every time human intervention is needed. The development of the environment for teaching aids can be other area where the flowcharts can be used. The main animus of the contemplate research work is to enroot a framework which not only automatically converts the process text but also to deploy it as software to create training materials. That is to automate the flowchart drawing activity based on the text inputs given by the end users hence; this research proposes a strategy that will be used to draw flowcharts without human intervention. It can also be used to represent the basics of programming problems to new users. The feature applied in the system not only automatically converts the text into flowchart but also builds up the critical thinking abilities of new software engineers. It also improves solution designing skill of new software engineers. Otherwise also the system is useful to represent the any given process text into the graphical form using the standard flowcharting symbols.
EN
The energy distribution of the surface state density NSS(E) on the chemically polished n-type InP (100) surface was determined from a rigorous computer analysis of the band-to-band photoluminescence efficiency (ϒ PL) versus excitation light intensity (θ). We obtained a very good modelling of the experimental ϒ PL-θ spectrum, taken from the literature, which exhibited a strong increase of ϒ PL. The theoretical values of ϒ PL were calculated using a numerical simulator taking account of all possible recombination processes in a bulk and via surface states. Due to an optimised fitting realised by means of a novel fully-computer procedure based on Genetic Algorithm, we determined the U-shaped NSS(E) distribution as well as the values of surface state cross sections for capturing electrons (σn) and holes (σp). In addition, we analysed the behaviour of the quasi-Fermi levels (EFn, EFp) on the surface and profiles of the radiative recombination velocity (Urad) under increasing excitation intensity.
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