Search-based software testing (SBST) is now a mature area, with numerous techniques developed to tackle the challenging task of software testing. SBST techniques have shown promising results and have been successfully applied in the industry to automatically generate test cases for large and complex software systems. Their effectiveness, however, has been shown to be problem dependent.

This paper presents several methods for diagnosing partial discharge (PD) in a Gas insulated switchgear (GIS) chamber using SF6 gas decomposed component analysis. Nine types of purposefully created defects within the chamber were simulated, resulting in PD and hence decomposed byproducts. In contrast to previous studies that only looked at specific aspects of PD analysis, this study employs decomposition component analysis to classify the defect type and assess the severity of SF6 gas decomposition. A series of experiments involving conducting and nonconducting defects were carried out.

This data set is a selected list of publications on data visualization on large high-resolution display. We conducted a systematic search in six major scientific databases in computer science (Springer, Wiley Online Library, ScienceDirect, ACM digital library, IEEE Xplore, EBSCO host between November 23 and December 1, 2019) using 23 search queries capturing the different terms used to describe a wall-sized display (e.g. “visualization wall”, “tiled display”, etc.).

This dataset is used to design patent and many machines can be designed using this dataset.

This is a very important dataset to do breakthrough. One of the secrets behind invention is revealed in these datasets.

Part of this design, with manually done tabulated calculations were submitted as the proposal design (for innovation challenge) proposed by the author, in the small concept paper to Ministry of Railways, Govt. of India in the year 2017.

 As the Excel files(using LibreOffice) are given, so no paper is written is for it.