Specification, Development, and Verification of CASCADAS Autonomic Computing and Networking Toolkit

2011 ◽  
pp. 65-96 ◽  
Author(s):  
Antonio Manzalini ◽  
Nermin Brgulja ◽  
Roberto Minerva ◽  
Corrado Moiso
Keyword(s):  
Autonomic Computing ◽  
Management Control ◽  
Experimental Results ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
New Challenges ◽  
Eu Project ◽  
And Storage ◽  
Autonomic Communications

Increasing complexity, heterogeneity, and dynamism of current networks (telecommunications, ICT, and Internet) are making current computational and communication infrastructures brittle, inefficient, and almost unmanageable. As a matter of fact, computing and storage are progressively embedded in all sorts of nodes and devices that are interconnected through a variety of (wireless and wired) technologies in Networks of Networks (NoNs). Dynamicity, pervasivity, and interconnectivity of future NoNs will increase the complexity of their management, control, and optimization more and more, and will open new challenges for service delivery in such environments. Autonomic communications principles and technologies can provide effective computing and networking solutions overcome these bottlenecks and to foster such challenging evolution. This chapter presents the main concepts of an autonomic communications toolkit designed and developed in the EU project CASCADAS for creating and supervising service networking ecosystems, structured as ensembles of distributed and cooperating autonomic components. Moreover, it describes several use-cases developed for its validation and demonstration and reports the experimental results to assess the toolkit performances. A brief overview of future research directions concludes the chapter.

Life cycle assessment of carbon capture and storage/utilization: From current state to future research directions and opportunities

2021 ◽  
Vol 108 ◽  
pp. 103309
Author(s):  
Tatiane Tobias da Cruz ◽  
José A. Perrella Balestieri ◽  
João M. de Toledo Silva ◽  
Mateus R.N. Vilanova ◽  
Otávio J. Oliveira ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Carbon Capture ◽  
Carbon Capture And Storage ◽  
Future Research ◽  
Research Directions ◽  
Current State ◽  
Future Research Directions ◽  
And Storage

Blockchain Towards Secure UAV-Based Systems

2021 ◽  
pp. 149-174
Author(s):  
lamia Chaari Fourati ◽  
Mohamed Fourati ◽  
Bilel Najeh ◽  
Aicha Idriss
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Use Cases ◽  
Future Research ◽  
Research Directions ◽  
Smart Systems ◽  
Aerial Vehicles ◽  
Future Research Directions ◽  
New Challenges

During this last decade, the blockchain (BC) paradigm has been required in several use cases and scenarios in particular for security, privacy, and trust provisioning. Accordingly, several studies proposed the use of BC technology to secure and to assure the trustworthiness of unmanned aerial vehicles (UAVs). In this context, this chapter highlights several applications and scenarios for the deployment of UAVs within diverse smart systems. In addition, it illustrates the advantages of the integration of the BC within UAVs-based smart systems. This integration reveals new challenges and future research directions that are discussed in this chapter.

Approaches of Ontological Concept Mapping Based on Multi-Strategy

2014 ◽  
Vol 519-520 ◽  
pp. 820-823
Author(s):  
Rong Li ◽  
Lei Liu
Keyword(s):  
Concept Mapping ◽  
High Accuracy ◽  
Experimental Results ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
Ontological Concept

Aiming at solving ontology heterogeneity, in this paper, we propose approaches of ontological concept mapping based on multi-strategy. At first, we use strategies based on concept name, property and taxonomy to calculate similarity. Then mapping results of multi-strategy are obtained. Finally, we present experimental results with high accuracy and point out future research directions.

scholarly journals Numerals in Financial Narratives

2021 ◽  
pp. 55-71
Author(s):  
Chung-Chi Chen ◽  
Hen-Hsen Huang ◽  
Hsin-Hsi Chen
Keyword(s):  
Experimental Results ◽  
Future Research ◽  
Shared Task ◽  
Named Entities ◽  
Research Directions ◽  
Future Research Directions ◽  
Financial Narratives

AbstractNumerals are more common in financial narratives than in documents from other domains, which makes understanding numerals very important when analyzing financial documents. In this chapter, we summarize our work on numerals in financial narratives and share findings from the FinNum shared task series in the 14th and 15th NTCIR Conferences. In Sect. 5.1, we discuss how to understand the meaning of a given numeral, and in Sect. 5.2, we discuss numeral attachment, where we link numerals and named entities. In Sect. 5.3, we show experimental results from downstream tasks that demonstrate the importance of numeral understanding in financial narratives. We conclude by proposing future research directions in Sect. 5.4.

scholarly journals MANAGEMENT CONTROL SYSTEMS IN MADEIRA ISLAND LARGEST FIRMS: EVIDENCE ON THE BALANCED SCORECARD USAGE

2010 ◽  
Vol 11 (4) ◽  
pp. 652-670 ◽  
Author(s):  
Carla Curado ◽  
José Manica
Keyword(s):  
Control Systems ◽  
Balanced Scorecard ◽  
Management Control ◽  
Management Control Systems ◽  
Future Research ◽  
Research Directions ◽  
The Balanced Scorecard ◽  
Madeira Island ◽  
Managerial Implications ◽  
Future Research Directions

This paper describes the findings of an exploratory study on the use of management control systems in Madeira Island providing evidence on the Balanced Scorecard (BSC) usage. Empirical data collected illustrates the degree of BSC usage at the Island's biggest corporations and provides response to the research questions. The findings reveal remarkable differences concerning management control systems’ use across corporations in the study and previous research reports from other regions. Finally, this study discusses managerial implications and includes invitations to future research directions. Santrauka Straipsnyje pateikiami duomenys apie mokslini valdymo kontroles sistemu tyrima, atlikta Madeiros saloje naudojant subalansuotos apskaitos duomenis. Surinkti empiriniai duomenys rodo naudojimasi subalansuotos apskaitos modeliu didžiausiose salos korporacijose ir pateikia atsakymus i tyrimo klausimus. Tyrimo duomenys atskleidžia svarbius skirtumus tarp valdymo kontroles sistemu naudojimo ivairiose imonese, lyginant kitu regionu ankstesniu tyrimu ataskaitas. Šiame tyrime aptariama organizaciju vadybos reikšme, kviečiama aptarti būsimu moksliniu tyrimu kryptis.

Advanced Middleware Architectural Aspects for Personalised Leading-Edge Services

2011 ◽  
pp. 94-117
Author(s):  
Nancy Alonistioti
Keyword(s):  
Knowledge Management ◽  
Service Provision ◽  
Autonomic Computing ◽  
State Of The Art ◽  
Leading Edge ◽  
Future Research ◽  
Research Directions ◽  
Architectural Model ◽  
Future Research Directions ◽  
Service Adaptation

This chapter introduces context-driven personalisation of service provision based on a middleware architectural approach. It describes the emerging environment on service provision, outlining the increasing requirements for personalisation as well as the state-of-the-art approaches in personalisation. A novel information space is presented to introduce the middleware architectures for personalisation in service provision. Technology enablers for context and knowledge management as well as service adaptation are also introduced, and an architectural model for the personalisation functionality is presented. The study also touches upon advanced concepts based on autonomic computing and communications to introduce future research directions.

INNOVATION MANAGEMENT CONTROL: BIBLIOMETRIC ANALYSIS OF ITS EMERGENCE AND EVOLUTION AS A RESEARCH FIELD

2018 ◽  
Vol 22 (03) ◽  
pp. 1850031 ◽  
Author(s):  
ALEXANDER TKOTZ ◽  
JAN CHRISTOPH MUNCK ◽  
ANDREAS ERICH WALD
Keyword(s):  
Bibliometric Analysis ◽  
Innovation Management ◽  
Innovation Process ◽  
Research Field ◽  
Management Control ◽  
Future Research ◽  
Coherent System ◽  
Management Control System ◽  
Research Directions ◽  
Future Research Directions

Innovation Management Control (IMC) supports innovation management with valuable information, thus improving innovation effectiveness and efficiency. Literature has shown that different elements of a management control system must be interdependent and that its design must form a coherent system of controls that spans the entire process under control. Accordingly, IMC covers the entire innovation process. However, IMC literature is spread over numerous journals from different disciplines, which may prevent the development of holistic IMC systems. We present a bibliometric analysis that provides insights into the development of IMC as a research field and examines the severity of knowledge dispersal. We build on a database covering 549 papers. The aim of the study is to reveal IMCs emergence and evolution as a research field, and future research directions. Our study shows that IMC combines several subfields and that dispersion is present in IMC, thus slowing knowledge transfer and hindering rapid progress.

Research and Application of Heat Transfer Fluids in Solar Thermal Power

2013 ◽  
Vol 815 ◽  
pp. 415-422 ◽  
Author(s):  
Xiao Min Cheng ◽  
Chuang Zhu ◽  
Han Zhang ◽  
Xian Jie Yang
Keyword(s):  
Heat Transfer ◽  
Molten Salt ◽  
Liquid Alloy ◽  
Thermal Power ◽  
Heat Transfer Fluid ◽  
Future Research ◽  
Research Directions ◽  
Heat Transfer Fluids ◽  
Future Research Directions ◽  
And Storage

mproving the thermophysical properties of heat transfer fluid is always a research hotspot and difficult subject in the application of solar energy for medium and high temperature. The research and application of these heat transfer fluid, including steam, heat transfer oil, molten salt, air, liquid alloy and nanofluids, were summarized in this paper. After comparing their characteristics, it is found that molten salt, air and liquid alloy have greater application and development prospects. Future research directions include extending the temperature span of operating condition, enhancing the efficiency of heat transfer and storage, lengthening service life and finding out the correlation between microstructure and related performance.

scholarly journals Machine Learning for Sustainable Energy Systems

2021 ◽  
Vol 46 (1) ◽  
Author(s):  
Priya L. Donti ◽  
J. Zico Kolter
Keyword(s):  
Machine Learning ◽  
Sustainable Energy ◽  
Energy Systems ◽  
Future Research ◽  
Annual Review ◽  
Publication Date ◽  
Research Directions ◽  
Sustainable Energy Systems ◽  
Future Research Directions ◽  
And Storage

In recent years, machine learning has proven to be a powerful tool for deriving insights from data. In this review, we describe ways in which machine learning has been leveraged to facilitate the development and operation of sustainable energy systems. We first provide a taxonomy of machine learning paradigms and techniques, along with a discussion of their strengths and limitations. We then provide an overview of existing research using machine learning for sustainable energy production, delivery, and storage. Finally, we identify gaps in this literature, propose future research directions, and discuss important considerations for deployment. Expected final online publication date for the Annual Review of Environment and Resources, Volume 46 is October 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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