in addition to exploring constructions and properties of limits and colimits in categories of topologicalalgebras, we study special subcategories of topological algebras and their properties. in particular, undercertain conditions, reflective subcategories when paired with topological structures give rise to reflectivesubcategories and epireflective subcategories give rise to epireflective subc...

Fuzz testing is an active testing technique which consists in automatically generating and sending malicious inputs to an application in order to hopefully trigger a vulnerability. Fuzzing entails such questions as: Where to fuzz? Which parameter to fuzz? What kind of anomaly to introduce? Where to observe its effects? etc. Different test contexts depending on the degree of knowledge assumed ab...

As agile software development and extreme programing have become increasingly popular, continuous integration (CI) has a widely used collaborative work method. However, it is common to make changes frequently project during CI. If existing testing methods are applied CI directly, will be difficult resources focus on generated by CI, which results in insufficient for changes. To solve this probl...

Many software security vulnerabilities only reveal themselves under certain conditions, i.e., particular configurations and inputs together with a certain runtime environment. One approach to detecting these vulnerabilities is fuzz testing. However, typical fuzz testing makes no guarantees regarding the syntactic and semantic validity of the input, or of how much of the input space will be expl...

Tungsten fuzzy nanostructures commonly form on the plasma-facing walls of magnetic-confinement nuclear fusion reactors, induced by helium plasma irradiation. We calculate field enhancement factors at fuzz tips tungsten, molybdenum, and tantalum, quantitatively representing degree focusing, based classical electromagnetic theory under quasistatic approximation, for a model system comprising subw...

This paper generalizes the concepts of rough membership functions in pattern classification tasks to fuzz rough membership functions. Unlike the rough membersgp value of a pattern, which is sensitive only towards the rough uncertainty associated with the pattern, the fuzzy-rough membership value of the pattern signlfies the rou h uncertainty as well as the . fuzz uncertainty associated wig it. ...

Randomly mutating well-formed program inputs or simply fuzzing, is a highly effective and widely used strategy to find bugs in software. Other than showing fuzzers find bugs, there has been little systematic effort in understanding the science of how to fuzz properly. In this paper, we focus on how to mathematically formulate and reason about one critical aspect in fuzzing: how best to pick see...

Determination of the mechanisms underlying the growth of tungsten fuzz is an important step towards mitigation of fuzz formation. Nanostructured tungsten was produced on resistively heated tungsten wires in a helicon plasma source (maximum flux of 2.5× 1021 m−2 s−1). Asymmetry in the setup allows for investigation of temperature and flux effects in a single sample. An effort at elucidating the ...

A bstract We perform a detailed study of perturbations around 2-charge circular fuzz-balls and compare the results with ones obtained in case ‘small’ BHs. In addition to photon-sphere modes that govern prompt ring-down, we also find branch long-lived QNMs localised inside at (meta)stable minimum radial effective potential. The latter are expected dominate late time signals form ‘echoes’. Moreov...

A pilled nonwoven fabric image consists of brightness variations caused by high frequency noise, randomly distributed fibers, fuzz and pills, fabric surface unevenness, and background illumination variance. They have different frequency and space distributions and thus can be separated by the two-dimensional dual-tree complex wavelet transform reconstructed detail and approximation images. The ...