Software Operational Profile Based Test Case Allocation Using Fuzzy Logic

Software operational profile （SOP） is used in software reliability prediction, software quality assessment, performance analysis of software, test case allocation, determination of ＂when to stop testing,＂ etc. Due to the limited data resources and large efforts required to collect and convert the gathered data into point estimates, reluctance is observed by the software professionals to develop the SOP. A framework is proposed to develop SOP using fuzzy logic, which requires usage data in the form of linguistics. The resulting profile is named fuzzy software operational profile （FSOP）. Based on this work, this paper proposes a generalized approach for the allocation of test cases, in which occurrence probability of operations obtained from FSOP are combined with the criticality of the operations using fuzzy inference system （FIS）. Traditional methods for the allocation of test cases do not consider the application in which software operates. This is intuitively incorrect. To solve this problem, allocation of test cases with respect to software application using the FIS model is also proposed in this paper.

Operation Control of a High-resolution Plasma Imaging System in KT5D Torus

This paper describes the control software together with the operational hardware, which successfully realizes the operation of a new fully programmable imaging system with high spatial and temporal resolutions on the KT5D magnetic torus, for observing the visible l ight emission from the plasma discharge.

Ergonomic Aspects of Operation of IT Systems in Precision Agriculture

The operation of IT systems is a sine qua non condition in precision agriculture. In the traditional approach, professional competencies of a farmer comprise the ability to operate machines and technical equipment in production technologies for biological raw materials. Precision agriculture increases this range of professional competencies with the ability to use computer IT systems that are complex and, by their very nature, much differing in their content and scope from typical farming knowledge. The ergonomic problem can be brought down to determination whether the operation of IT systems in precision agriculture is adjusted to the predispositions, needs and skills of the farmers. Generally, in the IT system of precision agriculture, three phases can be differentiated： data collection, processing and application. To what extent should they be operated by the farmer, and to what extent by the IT specialist, is the problem that determines effective functioning of precision farming. The ergonomic assessment of some software for equipment operation, generation of harvesting maps and applications points to： （1） the need for standardisation in construction and operation of IT systems; （2） the division of the function-farmer and IT specialist （e.g. from an agriculture consulting institution） in the precision agriculture system.

Smart computational light microscopes(SCLMs)of smart computational imaging laboratory(SCILab)

Computational microscopy,as a subfield of computational imaging,combines optical manipulation and image algorithmic reconstruction to recover multi-dimensional microscopic images or information of micro-objects.In recent years,the revolution in light-emitting diodes(LEDs),low-cost consumer image sensors,modern digital computers,and smartphones provide fertile opportunities for the rapid development of computational microscopy.Consequently,diverse forms of computational microscopy have been invented,including digital holographic microscopy(DHM),transport of intensity equation(TIE),differential phase contrast(DPC)microscopy,lens-free on-chip holography,and Fourier ptychographic microscopy(FPM).These computational microscopy techniques not only provide high-resolution,label-free,quantitative phase imaging capability but also decipher new and advanced biomedical research and industrial applications.Nevertheless,most computational microscopy techniques are still at an early stage of“proof of concept”or“proof of prototype”(based on commercially available microscope platforms).Translating those concepts to stand-alone optical instruments for practical use is an essential step for the promotion and adoption of computational microscopy by the wider bio-medicine,industry,and education community.In this paper,we present four smart computational light microscopes(SCLMs)developed by our laboratory,i.e.,smart computational imaging laboratory(SCILab)of Nanjing University of Science and Technology(NJUST),China.These microscopes are empowered by advanced computational microscopy techniques,including digital holography,TIE,DPC,lensless holography,and FPM,which not only enables multi-modal contrast-enhanced observations for unstained specimens,but also can recover their three-dimensional profiles quantitatively.We introduce their basic principles,hardware configurations,reconstruction algorithms,and software design,quantify their imaging performance,and illustrate their typical applications for cell analysis,medical diagnosis,and microlens characterization.