Developing an End-to-End Scientific Workflow: a Case Study of Using a Reliable, Lightweight, and Comprehensive Workflow Platform in e-Science

2011 ◽  
Author(s):  
Xiaoyu Yang
Keyword(s):  
Scientific Workflow ◽  
End To End

Developing an End-to-End Scientific Workflow:

2010 ◽  
Vol 12 (3) ◽  
pp. 52-61 ◽  
Author(s):  
Xiaoyu Yang ◽  
Richard P. Bruin ◽  
Martin T. Dove
Keyword(s):  
Scientific Workflow ◽  
End To End

scholarly journals Identifying population segments for effective intervention design and targeting using unsupervised machine learning: an end-to-end guide

2019 ◽  
Vol 3 ◽  
pp. 1503
Author(s):  
Elisabeth Engl ◽  
Peter Smittenaar ◽  
Sema K. Sgaier
Keyword(s):  
Well Being ◽  
Voluntary Medical Male Circumcision ◽  
Medical Male Circumcision ◽  
Targeted Interventions ◽  
Change Behavior ◽  
End To End ◽  
The Many ◽  
Missed Opportunity ◽  
Selection Of

One-size-fits-all interventions that aim to change behavior are a missed opportunity to improve human health and well-being, as they do not target the different reasons that drive people’s choices and behaviors. Psycho-behavioral segmentation is an approach to uncover such differences and enable the design of targeted interventions, but is rarely implemented at scale in global development. In part, this may be due to the many choices program designers and data scientists face, and the lack of available guidance through the process. Effective segmentation encompasses conceptualization and selection of the dimensions to segment on, which often requires the design of suitable qualitative and quantitative primary research. The choice of algorithm and its parameters also profoundly shape the resulting output and how useful the results are in the field. Analytical outputs are not self-explanatory and need to be subjectively evaluated and described. Finally, segments can be prioritized and targeted with matching interventions via appropriate channels. Here, we provide an end-to-end overview of all the stages from planning, designing field-based research, analyzing, and implementing a psycho-behavioral segmentation solution. We illustrate the choices and critical steps along the way, and discuss a case study of segmentation for voluntary medical male circumcision that implemented the method described here. Though our examples mostly draw on health interventions in the developing world, the principles in this approach can be used in any context where understanding human heterogeneity in driving behavior change is valuable.

scholarly journals Real-time End-to-End Federated Learning: An Automotive Case Study

2021 ◽  
Author(s):  
Hongyi Zhang ◽  
Jan Bosch ◽  
Helena Holmstrom Olsson
Keyword(s):  
Real Time ◽  
End To End

End-to-End Formal Specification, Validation, and Verification Process: A Case Study of Space Flight Software

2013 ◽  
Vol 7 (4) ◽  
pp. 632-641 ◽  
Author(s):  
Miriam C. Bergue Alves ◽  
Doron Drusinsky ◽  
James Bret Michael ◽  
Man-Tak Shing
Keyword(s):  
Space Flight ◽  
Formal Specification ◽  
Validation And Verification ◽  
End To End ◽  
Verification Process

On data and connectivity in complete supply chains

2019 ◽  
Vol 25 (5) ◽  
pp. 1145-1163 ◽  
Author(s):  
Per Engelseth ◽  
Judith Molka-Danielsen ◽  
Brian E. White
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Process Development ◽  
Chain Management ◽  
Content Type ◽  
Management Discourse ◽  
End To End ◽  
Chain Organization

Purpose The purpose of this paper is to question the applicability of recent industry-derived terms such as “Big Data” (BD) and the “Internet of things” (IoT) in a supply chain managerial context. Is this labeling useful in managing the operations found in supply chains? Design/methodology/approach BD and IoT are critically discussed in the context of a complete supply chain organization. A case study of banana supply from Costa Rica to Norway is provided to empirically ground this research. Thompson’s contingency theory, Alderson’s functionalistic end-to-end “marketing channels” model, Penrose’s view of supply purpose associated with service provision, and particularities of banana supply reveal how end-to-end supply chains are complex systems, even though the product distributed is fairly simple. Findings Results indicate that the usefulness of BD in supply chain management discourse is limited. Instead its connectivity is facilitated by what is now becoming commonly labeled as IoT, people, devices and documents that are useful when taking an end-to-end supply chain perspective. Connectivity is critical to efficient contemporary supply chain management. Originality/value BD and IoT have emerged as a part of contemporary supply chain management discourse. This study directs attention to the importance of scrutinizing emergent and actual discourse in managing supply chains, that it is not irrelevant which words are applied, e.g., in research on information-enabled supply process development. Often the old words of professional terminology may be sufficient or even better to help manage supply.

Towards a framework for measuring end to end performance of land administration business processes – A case study

2009 ◽  
Vol 33 (4) ◽  
pp. 293-301 ◽  
Author(s):  
Dorman Chimhamhiwa ◽  
Paul van der Molen ◽  
Onisimo Mutanga ◽  
Denis Rugege
Keyword(s):  
Business Processes ◽  
Land Administration ◽  
End To End

scholarly journals Encrypted Network Traffic Analysis of Secure Instant Messaging Application: A Case Study of Signal Messenger App

2021 ◽  
Vol 11 (17) ◽  
pp. 7789
Author(s):  
Asmara Afzal ◽  
Mehdi Hussain ◽  
Shahzad Saleem ◽  
M. Khuram Shahzad ◽  
Anthony T. S. Ho ◽  
...  
Keyword(s):  
Network Traffic ◽  
Instant Messaging ◽  
Vital Role ◽  
Media Messages ◽  
Security Services ◽  
Network Traffic Analysis ◽  
End To End ◽  
Network Forensic ◽  
Encrypted Traffic

Instant messaging applications (apps) have played a vital role in online interaction, especially under COVID-19 lockdown protocols. Apps with security provisions are able to provide confidentiality through end-to-end encryption. Ill-intentioned individuals and groups use these security services to their advantage by using the apps for criminal, illicit, or fraudulent activities. During an investigation, the provision of end-to-end encryption in apps increases the complexity for digital forensics investigators. This study aims to provide a network forensic strategy to identify the potential artifacts from the encrypted network traffic of the prominent social messenger app Signal (on Android version 9). The analysis of the installed app was conducted over fully encrypted network traffic. By adopting the proposed strategy, the forensic investigator can easily detect encrypted traffic activities such as chatting, media messages, audio, and video calls by looking at the payload patterns. Furthermore, a detailed analysis of the trace files can help to create a list of chat servers and IP addresses of involved parties in the events. As a result, the proposed strategy significantly facilitates extraction of the app’s behavior from encrypted network traffic which can then be used as supportive evidence for forensic investigation.

scholarly journals Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding

2021 ◽  
Author(s):  
Siddhant Arora ◽  
Alissa Ostapenko ◽  
Vijay Viswanathan ◽  
Siddharth Dalmia ◽  
Florian Metze ◽  
...  
Keyword(s):  
Spoken Language ◽  
Language Understanding ◽  
Spoken Language Understanding ◽  
End To End
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