In this work the detection process of buried objects is presented utilizing Ground Penetrating Radar (GPR). Background removal algorithm is used to obtain the target signature and correlation process is performed to reveal the reflected target energy Then, a detection warning signal is created depending on a special process. In this work, pulsed GPR system with 1 GHz bandwith is used. Scanning speed is 0.33cm/sec in the sweeping direction and this process is repeated in the walking direction with 4 cm spatial resolution.

Game engines have become an important type of software that is widely used not only in the game industry but also in engineering and design. Selecting an appropriate engine is an important research topic for developers. This study investigates the effects of software quality of game engines on engine performance and engine selection. Static code analysis can objectively evaluate the reliability and maintainability of software. In this study, the maintainability of open-source game engines is analyzed by static code analysis, the source code of game engines was analyzed with a fuzzy logic-based model that assesses maintainability using software metrics measurements, revealing that most scored poorly, with Godot Engine classified as “poorly maintainable”. The findings of the analysis show that game engines have serious quality issues. The relationship between code quality and popularity of game engines was also analyzed and it was found that the number of games developed and the popularity of these games are inversely proportional to the quality of the game engine. Therefore, refactoring and regular analysis of code quality has been proposed to maintain the popularity of ambitious game engines like Godot and O3DE. In the current era of increasing code-free and model-based game development, this study concludes that traditional code quality assessment methods alone are not a suitable solution for evaluating the quality of game software.

Face validation is an informal type of validation, usually applied in the early stages of a simulation project or model development process. Face validation is used to determine the reasonableness of a model or simulation when advanced validation methods such as statistical analysis or sensitivity analysis are not applicable. In large-scale simulation projects such as warfare simulation applications, which consist of a large number and variety of models that cannot be evaluated independently and contain high levels of uncertainty, face validation should be utilized, but no standard method for face validation can be proposed. In this paper, we review the literature and practical applications of face validation. We propose a process to improve the effectiveness of face validation. The proposed process is expected to help to realize a measurable, concrete and practical face validation, especially in large-scale projects involving high-fidelity complex models and constructive simulations.