scholarly journals Rapid deployment modular building solutions and climatic adaptability: Case based study of a novel approach to “thermal capacity on demand”

2018 ◽  
Vol 167 ◽  
pp. 124-135 ◽  
Author(s):  
Boris Ceranic ◽  
John Beardmore ◽  
Adrian Cox
Author(s):  
Mirjam Minor ◽  
Alexander Tartakovski ◽  
Daniel Schmalen ◽  
Ralph Bergmann

The increasing dynamics of today’s work impacts the business processes. Agile workflow technology is a means for the automation of adaptable processes. However, the modification of workflows is a difficult task that is performed by human experts. This chapter discusses the novel approach of agile workflow technology for dynamic, long-term scenarios and on change reuse. First, it introduces new concepts for a workflow modelling language and enactment service, which enable an interlocked modelling and execution of workflows by means of a sophisticated suspension mechanism. Second, it provides new process-oriented methods of case-based reasoning in order to support the reuse of change experience. The results from an experimental evaluation in a real-world scenario highlight the usefulness and the practical impact of this work.


2012 ◽  
Vol 3 (2) ◽  
pp. 62-77
Author(s):  
Janet H. Sanders ◽  
Silvanus J. Udoka

To meet today’s business culture of rapid deployment of new products and processes, engineering and manufacturing personnel must utilize efficient means for process development. This paper discusses a novel approach to characterize a task driven manufacturing process. The approach utilized Response Surface Methodology (RSM) to investigate, identify, and prioritize the key process drivers and subsequently develop quantifiable methods for setting the operating levels for the process drivers to determine if the current levels of these key process drivers result in a process response value that is near optimum. The approach identifies the improved response region, generates a mathematical model of the process and specifies an operating window that would yield consistent results for each of the process drivers. A High Strength Fiber Splicing process was used to demonstrate this approach. This study led to the identification of the region that improved the process yield from 65% to 85%.


Author(s):  
Paul Müller ◽  
Dennis Schwerdel

AbstractAlthough testbeds and experimental facilities are accepted as tools for research in the scope of distributed systems research, such as Future Internet Research, they lack sustainability; once established as a project, they must be maintained and renewed every few years. However, unfortunately, due to an absence of long-term funding for operating/maintenance and reinvestment, a lot of these are terminated just after the project is complete.In this paper, we describe a software-defined testbed on demand; this is based on the Topology Management Tool (ToMaTo), a software environment which was developed within the G-Lab project. ToMaTo, initially designed to run on the G-Lab infrastructure, is now independent of the underlying infrastructure and can be deployed on any Cloud infrastructure on demand. We describe here the deployment of ToMaTo to the CloudLab infrastructure offered by the NSF-funded CloudLab project.This approach offers a new method for sustainable testbeds where neither upfront investment nor the recurring and operating/maintenance costs for the infrastructure will burden the budgets of the projects.


Author(s):  
Yan Xu ◽  
Ge Li ◽  
Lili Mou ◽  
Yangyang Lu

Learning non-taxonomic relations becomes an important research topic in ontology extension. Most of the existing learning approaches are mainly based on expert crafted corpora. These approaches are normally domain-specific and the corpora acquisition is laborious and costly. On the other hand, based on the static corpora, it is not able to meet personalized needs of semantic relations discovery for various taxonomies. In this paper, we propose a novel approach for learning non-taxonomic relations on demand. For any supplied taxonomy, it can focus on the segment of the taxonomy and collect information dynamically about the taxonomic concepts by using Wikipedia as a learning source. Based on the newly generated corpus, non-taxonomic relations are acquired through three steps: a) semantic relatedness detection; b) relations extraction between concepts; and c) relations generalization within a hierarchy. The proposed approach is evaluated on three different predefined taxonomies and the experimental results show that it is effective in capturing non-taxonomic relations as needed and has good potential for the ontology extension on demand.


2020 ◽  
Vol 56 (23) ◽  
pp. 3365-3368 ◽  
Author(s):  
Kota Murakami ◽  
Yuta Tanaka ◽  
Ryuya Sakai ◽  
Yudai Hisai ◽  
Sasuga Hayashi ◽  
...  

Low-temperature heterogeneous catalytic reaction in an electric field is anticipated as a novel approach for on-demand and small-scale catalytic processes.


2019 ◽  
Vol 7 (5) ◽  
pp. 1815-1824 ◽  
Author(s):  
Bing Liang ◽  
Kexiao Yu ◽  
Yi Ling ◽  
Micheal Kolios ◽  
Agata Exner ◽  
...  

We report a novel approach to transform a tumor into a “bio-magnet”, to be magnetized on demand, in order to create an intrinsic tumor magnetic field, able to collect magnetic nanoparticles circulating in the blood and achieve simultaneous magnetic hyperthermia.


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