Global Mindset in International Virtual Research Teams A Research Framework and Agenda

Author(s):  
Andrea Hanebuth ◽  
Michael Nippa
2010 ◽  
Author(s):  
Amy Buhl Conn ◽  
Michael J. Benson ◽  
Michael N. Bazigos ◽  
Seymour Adler ◽  
Brandy Orebaugh Agnew ◽  
...  

2020 ◽  
Vol 1 (2) ◽  
pp. 192-207
Author(s):  
Juliette Barbera

For decades, both incarceration and research on the topic have proliferated. Disciplines within the Western sciences have studied the topic of incarceration through their respective lenses. Decades of data reflect trends and consequences of the carceral state, and based on that data the various disciplines have put forth arguments as to how the trends and consequences are of relevance to their respective fields of study. The research trajectory of incarceration research, however, overlooks the assumptions behind punishment and control and their institutionalization that produce and maintain the carceral state and its study. This omission of assumptions facilitates a focus on outcomes that serve to reinforce Western perspectives, and it contributes to the overall stagnation in the incarceration research produced in Western disciplines. An assessment of the study of the carceral state within the mainstream of American Political Development in the political science discipline provides an example of how the research framework contributes to the overall stagnation, even though the framework of the subfield allows for an historical institutionalization perspective. The theoretical perspectives of Cedric J. Robinson reveal the limits of Western lenses to critically assess the state. The alternative framework he provides to challenge the limits imposed on research production by Western perspectives applies to the argument presented here concerning the limitations that hamper the study of the carceral state.


Author(s):  
Sindhu Madhuri G. ◽  
Indira Gandhi M P

Image is a basic and fundamental data source for the digital image processing. This image data source is required to be processed into information or intelligence and further to knowledge levels where it is required to understand and migrate into knowledge economy systems. Image registration is one of such key and most important process already identified in the digital image processing domain. Image registration is a process of bringing the reference image and sensed image into a common co-ordinate system, and application of complex transformation techniques for necessary comparison of reference with sensed images obtained from different - views, times, spaces, etc., in order to extract the valuable information and intelligence embedded in them. Due to the complexity of overall image registration process, it is difficult to suggest a single transformation technique even for a specific application. In addition, it is highly impossible to suggest one single transformation technique for comparison of various sensed images with a reference image during the image registration process. This research gap calls for the development of new image registration techniques for the application of more than one transformation technique during the image registration process for the necessary comparisons with reference image & sensed images, those are obtained from the available heterogeneous sources or sensors, based on the requirement. In addition, it is a basic need to attempt for the measurement of effectiveness of the image registration process also. Therefore, a research framework is developed for image registration process and attempted for the measurement of its effectiveness also. This new research area is a novel idea, and is expected to emerge as a provision for the knowledge computations with creative thinking through the embedded intelligence extraction during the complex image registration process.


Sign in / Sign up

Export Citation Format

Share Document