Security-Induced Lock-In in the Cloud

Author(s):  
Daniel Arce
Keyword(s):  
1995 ◽  
Vol 7 (1) ◽  
pp. 215-228 ◽  
Author(s):  
J. Rantala ◽  
D. Wu ◽  
G. Busse
Keyword(s):  

1982 ◽  
Vol 43 (5) ◽  
pp. 755-759 ◽  
Author(s):  
M. Bertault ◽  
M. Krauzman ◽  
M. Le Postollec ◽  
R.M. Pick ◽  
M. Schott

2012 ◽  
Vol 132 (11) ◽  
pp. 1033-1038
Author(s):  
Yuichiro Kai ◽  
Yuji Tsuchida ◽  
Takashi Todaka ◽  
Masato Enokizono

GIS Business ◽  
2007 ◽  
Vol 2 (1) ◽  
pp. 39-47
Author(s):  
Sunita Kumari ◽  
Bino Paul G.D.

We explore emerging contexts of social entrepreneurship in India. Social entrepreneurship is emerging as an important option in poverty reduction and social change wherein organizing societal responses to scenarios like entrenched deprivation, cumulative disadvantages, long extant institutional lock-in, and vulnerabilities enmeshed in social stratification, hiatus emanating from segmentation of labour market and inadequate coverage of social protection form the core of strategies/collectives/organisation. In this paper, first, drawing cues from the literature, we outline basic typology of social entrepreneurship while delineating pivotal role technology and collaboration play in social entrepreneurship. Second, we provide a glimpse of not profit organisations in India, based on the secondary data. We juxtapose select patterns from the data on non profit organisations with human development. Third, we discuss select cases of social entrepreneurship that diverge in characteristics and contexts, in particular how these initiatives work towards poverty reduction and social development.


2016 ◽  
Vol 58 (1) ◽  
pp. 31-35
Author(s):  
Philipp Myrach ◽  
Christiane Maierhofer ◽  
Markus Rahammer ◽  
Marc Kreutzbruck
Keyword(s):  

2018 ◽  
Author(s):  
Ke-Ying Lin ◽  
Chih-Yi Tang ◽  
Yu Chi Wang

Abstract The paper demonstrates the moving of lock-in thermography (LIT) spot location by adjusting the lock-in frequency from low to high. Accurate defect localization in stacked-die devices was decided by the fixed LIT spot location after the lock-in frequency was higher than a specific value depending on the depth of the defect in the IC. Physical failure analysis was performed based on LIT results, which provided clear physical defect modes of the stacked-die devices.


Author(s):  
Otwin Breitenstein

Abstract The electronic properties of solar cells, particularly multicrystalline silicon-based ones, are distributed spatially inhomogeneous, where regions of poor quality may degrade the performance of the whole cell. These inhomogeneities mostly affect the dark current-voltage (I-V) characteristic, which decisively affects the efficiency. Since the grid distributes the local voltage homogeneously across the cell and leads to lateral balancing currents, local light beam-induced current methods alone cannot be used to image local cell efficiency parameters. Lock-in thermography (LIT) is the method of choice for imaging inhomogeneities of the dark I-V characteristic. This contribution introduces a novel method for evaluating a number of LIT images taken at different applied biases. By pixel-wise fitting the data to a two diode model and taking into account local series resistance and short circuit current density data, realistically simulated images of the other cell efficiency parameters (open circuit voltage, fill factor, and efficiency) are obtained. Moreover, simulated local and global dark and illuminated I-V characteristics are obtained, also for various illumination intensities. These local efficiency data are expectation values, which would hold if a homogeneous solar cell had the properties of the selected region of the inhomogeneous cell. Alternatively, also local efficiency data holding for the cell working at its own maximum power point may be generated. The amount of degradation of different cell efficiency parameters in some local defect positions is an indication how dangerous these defects are for degrading this parameter of the whole cell. The method allows to virtually 'cut out' certain defects for checking their influence on the global characteristics. Thus, by applying this method, a detailed local efficiency analysis of locally inhomogeneous solar cells is possible. It can be reliably predicted how a cell would improve if certain defects could be avoided. This method is implemented in a software code, which is available.


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