비만아 부모의 돌봄 경험: q 방법론

/pdf/a-break-in-the-clouds-towards-a-cloud-definition-svovsw1r5a.pdf

A Break in the Clouds: Towards a Cloud Definition

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Flow The Psychology Of Optimal Experience

Fast Fourier Transform

Creativity: Flow and the Psychology of Discovery and Invention

Seven indicators variations for multiple PV array configurations under partial shading and faulty PV conditions

https://pure.hud.ac.uk/ws/files/14003465/Manuscript.pdf

Novel hot spot mitigation technique to enhance photovoltaic solar panels output power performance

Parallel fault detection algorithm for grid-connected photovoltaic plants

The development of sustainable software has been identified as one of the key challenges in the field of computational science and engineering. However, there is currently no agreed definition of the concept. Current definitions range from a composite, non-functional requirement to simply an emergent property. This lack of clarity leads to confusion, and potentially to ineffective and inefficient efforts to develop sustainable software systems. The aim of this paper is to explore the emerging definitions of software sustainability from the field of software engineering in order to contribute to the question, what is software sustainability? The preliminary analysis suggests that the concept of software sustainability is complex and multifaceted with any consensus towards a shared definition within the field of software engineering yet to be achieved.

/pdf/software-sustainability-the-modern-tower-of-babel-11xrqimwpb.pdf

Software Sustainability: The Modern Tower of Babel

In this work, the authors present a new algorithm for detecting faults in grid-connected photovoltaic (GCPV) plant. There are few instances of statistical tools being deployed in the analysis of photovoltaic (PV) measured data. The main focus of this study is, therefore, to outline a PV fault detection algorithm that can diagnose faults on the DC side of the examined GCPV system based on the t-test statistical analysis method. For a given set of operational conditions, solar irradiance and module temperature, a number of attributes such as voltage and power ratio of the PV strings are measured using virtual instrumentation (VI) LabVIEW software. The results obtained indicate that the fault detection algorithm can detect accurately different types of faults such as, faulty PV module, faulty PV String, faulty Bypass diode and faulty maximum power point tracking unit. The proposed PV fault detection algorithm has been validated using 1.98 kWp PV plant installed at the University of Huddersfield, UK.

/pdf/simultaneous-fault-detection-algorithm-for-grid-connected-kzlccdlugc.pdf

Violeta Holmes

Papers

Seven indicators variations for multiple PV array configurations under partial shading and faulty PV conditions

Novel hot spot mitigation technique to enhance photovoltaic solar panels output power performance

Parallel fault detection algorithm for grid-connected photovoltaic plants

Software Sustainability: The Modern Tower of Babel

Simultaneous fault detection algorithm for grid-connected photovoltaic plants