Solving the Cross Domain Problem with Functional Encryption

Author(s):  
Alan Kaminsky ◽  
Michael Kurdziel ◽  
Steve Farris ◽  
Marcin Lukowiak ◽  
Stanislaw Radziszowski
Author(s):  
Sergios Soursos ◽  
Ivana Podnar Zarko ◽  
Patrick Zwickl ◽  
Ivan Gojmerac ◽  
Giuseppe Bianchi ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Henry P. Huntington ◽  
Jennifer Schmidt ◽  
Philip A. Loring ◽  
Erin Whitney ◽  
Srijan Aggarwal ◽  
...  

The food-energy-water (FEW) nexus describes interactions among domains that yield gains or tradeoffs when analyzed together rather than independently. In a project about renewable energy in rural Alaska communities, we applied this concept to examine the implications for sustainability and resilience. The FEW nexus provided a useful framework for identifying the cross-domain benefits of renewable energy, including gains in FEW security. However, other factors such as transportation and governance also play a major role in determining FEW security outcomes in rural Alaska. Here we show the implications of our findings for theory and practice. The precise configurations of and relationships among FEW nexus components vary by place and time, and the range of factors involved further complicates the ability to develop a functional, systematic FEW model. Instead, we suggest how the FEW nexus may be applied conceptually to identify and understand cross-domain interactions that contribute to long-term sustainability and resilience.


2014 ◽  
Vol 955-959 ◽  
pp. 3145-3150
Author(s):  
Xian Ze Peng ◽  
Cai Yuan ◽  
Qian Yu

Along with the main rivers and lakes of China are polluted inordinately, water environment issues in China have been becomingincreasingly severe. The cross-domain water pollution contradictions cannot be well settled by the government-centered river and watercourse control, which means that,urgently, a new river and watercourse control mechanism needs to be established. With continuous changes of water management, in order to get along with water even more harmoniously, the mankind has formed the concept of water resource management through cross-domain consultation. Combining traditional, historical and social culturefactors, ancient and modern, this paper analyzes influences of the cross-domain consultation upon water culture, proposes detailed countermeasures of establishing the water culture featuring“harmoniousco-existence between mankind and water”by cross-domain consultation, so as to effectively settle contradictions triggered by water pollution amongdifferent administrative regions, and improve the efficiency ofwatercontrol.


Author(s):  
Preeti Arora ◽  
Deepali Virmani ◽  
P.S. Kulkarni

Sentiment analysis is the pre-eminent technology to extract the relevant information from the data domain. In this paper cross domain sentimental classification approach Cross_BOMEST is proposed. Proposed approach will extract <strong>†</strong>ve words using existing BOMEST technique, with the help of Ms Word Introp, Cross_BOMEST determines <strong>†</strong>ve words and replaces all its synonyms to escalate the polarity and blends two different domains and detects all the self-sufficient words. Proposed Algorithm is executed on Amazon datasets where two different domains are trained to analyze sentiments of the reviews of the other remaining domain. Proposed approach contributes propitious results in the cross domain analysis and accuracy of 92 % is obtained. Precision and Recall of BOMEST is improved by 16% and 7% respectively by the Cross_BOMEST.


Author(s):  
Satbir Singh ◽  
Rajiv Kapoor ◽  
Arun Khosla

This chapter emphasizes on the approach to include information from different type of sensors into the visible domain real time tracking. Since any individual sensor is not able to retrieve the complete information, so it is better to use information from distinct category of sensors. The chapter firstly enlightens the significance of introducing the cross-domain treatment into video based tracking. Following this, some previous work in the literature related to this idea is briefed. The chapter introduces the categorization of the cross-domain activity usage for real time object tracking and then each category is separately discussed in detail. The advantages as well as the limitations of each type of supplemented cross domain activity will be discussed. Finally, the recommendation and concluding remarks from the authors in lieu of future development of this cutting-edge field will be presented.


Author(s):  
Christopher Frugé

This chapter develops a style of argument that realists can use to defend the methodological propriety of appealing to a given range of intuitions. Unbunking arguments are an epistemically positive analogue of debunking arguments, and they revolve around the claim that the processes dominantly responsible for beliefs about a given domain are reliable. However, processes cannot always be assessed for accuracy with respect to the relevant domain, so this chapter also develops the cross-domain strategy, which involves arguing that processes known to be reliable in one domain are similarly reliable with respect to a different domain. The chapter ends by unbunking our metaphysical intuitions about mutual supervenience by way of a cross-domain strategy that draws on cognitive scientific research into our ability to track correlations.


Author(s):  
Kwansuk Oh ◽  
Jong Wook Lim ◽  
Seongwon Cho ◽  
Junyeol Ryu ◽  
Yoo S. Hong

AbstractVariety management is a cross-domain issue in product family design. In the real field, the relationships across the domains are so complex for most of the existing product families that they cannot be easily identified without proper reference architecture. This reference architecture should provide the cross- domain mapping mechanisms in an explicit manner and be able to identify the proper units for management. From this perspective of cross-domain framework, this paper introduces development architecture (DA) to describe the relationships between elements in market, design, and production domains and to give insights for the cross-domain variety management in the product development stage. DA has three parts: (1) the arrangement of elements in each domain, (2) the mapping between elements, and (3) the identification of management sets and key interfaces which are the proper units for variety management. The proposed development architecture framework is applied to the case of front chassis family of modules of an automobile.


2019 ◽  
Vol 214 ◽  
pp. 04004 ◽  
Author(s):  
Fabian Lambert ◽  
Jérôme Odier ◽  
Jérôme Fulachier

AMI (ATLAS Metadata Interface) is a generic ecosystem for metadata aggregation, transformation and cataloguing. Often, it is interesting to share up-to-date metadata with other content services such as wikis. Here, the cross-domain solution implemented in the AMI Web Framework is described: a system of embeddable controls, communicating with the central AMI service and based on the AJAX and CORS technologies. The main available controls and their basic usage are also described.


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