INFORMATION MANAGEMENT-A STATE-OF-THE -ART STUDY. PART I - SYNOPSIS OF ORGANIZATIONS AND RESEARCH ACTIVITIES

1962 ◽  
Author(s):  
Carole E. Bare
2021 ◽  
Vol 11 (10) ◽  
pp. 4553
Author(s):  
Ewelina Ziajka-Poznańska ◽  
Jakub Montewka

The development of autonomous ship technology is currently in focus worldwide and the literature on this topic is growing. However, an in-depth cost and benefit estimation of such endeavours is in its infancy. With this systematic literature review, we present the state-of-the-art system regarding costs and benefits of the operation of prospective autonomous merchant ships with an objective for identifying contemporary research activities concerning an estimation of operating, voyage, and capital costs in prospective, autonomous shipping and vessel platooning. Additionally, the paper outlines research gaps and the need for more detailed business models for operating autonomous ships. Results reveal that valid financial models of autonomous shipping are lacking and there is significant uncertainty affecting the cost estimates, rendering only a reliable evaluation of specific case studies. The findings of this paper may be found relevant not only by academia, but also organisations considering to undertake a challenge of implementing Maritime Autonomous Surface Ships in their operations.


2023 ◽  
Vol 55 (1) ◽  
pp. 1-39
Author(s):  
Thanh Tuan Nguyen ◽  
Thanh Phuong Nguyen

Representing dynamic textures (DTs) plays an important role in many real implementations in the computer vision community. Due to the turbulent and non-directional motions of DTs along with the negative impacts of different factors (e.g., environmental changes, noise, illumination, etc.), efficiently analyzing DTs has raised considerable challenges for the state-of-the-art approaches. For 20 years, many different techniques have been introduced to handle the above well-known issues for enhancing the performance. Those methods have shown valuable contributions, but the problems have been incompletely dealt with, particularly recognizing DTs on large-scale datasets. In this article, we present a comprehensive taxonomy of DT representation in order to purposefully give a thorough overview of the existing methods along with overall evaluations of their obtained performances. Accordingly, we arrange the methods into six canonical categories. Each of them is then taken in a brief presentation of its principal methodology stream and various related variants. The effectiveness levels of the state-of-the-art methods are then investigated and thoroughly discussed with respect to quantitative and qualitative evaluations in classifying DTs on benchmark datasets. Finally, we point out several potential applications and the remaining challenges that should be addressed in further directions. In comparison with two existing shallow DT surveys (i.e., the first one is out of date as it was made in 2005, while the newer one (published in 2016) is an inadequate overview), we believe that our proposed comprehensive taxonomy not only provides a better view of DT representation for the target readers but also stimulates future research activities.


2012 ◽  
pp. 286-305
Author(s):  
Christian Welzel ◽  
Heiko Hartenstein ◽  
Jörn von Lucke

Core Directories are content infrastructure elements for interoperable use in service oriented architectures. They capsulate basic information to a generic structure offering easy access and transparency. The design and research activities focused on specification, a generic approach, globally unique identification of objects and development of an example application. Moreover, requirements and advantages of the concept were discussed and directed to information management issues. Key objective is the modernisation of the information technology used in and between administrations. The interdisciplinary approach is a challenge for the constitution of next generation e-Government networks. The chapter describes the strategic and operative standardisation activities, the concept of Core Directories and the example application service responsibility finder. Furthermore, an outlook for some research activities and projects on this topic is given.


2009 ◽  
pp. 1446-1453
Author(s):  
Ozgul Unal ◽  
Ersin C. Kaletas ◽  
Hamideh Afsarmanesh ◽  
H. Hakan Yakali ◽  
Louis O. Hertzberger

With the increasing need for collaboration in different science domains, a lot of research activities are now focused on the mechanisms and infrastructures supporting advanced collaborations among pre-existing, distributed, heterogeneous, and autonomous organizations. Collaborating organizations typically share some common objectives and in order to achieve them they need to share their information and resources. One prominent requirement is to access each other’s data or databases through a secure infrastructure. Biodiversity is one such science domain. Challenges in biodiversity information management are being addressed in the project ENBI (European Network for Biodiversity Information) (ENBI, n.d.). A summary of the information management challenges in different science domains is given in the second section, Information Management Challenges in Science Domains. In this context, the CIMS introduces promising solutions to cope with these challenges. In general terms, CIMS refers to the set of components and mechanisms that together constitute a generic information manipulation framework to support the interoperation and data sharing among collaborating members (Guevara-Masis, Unal, Kaletas, Afsarmanesh, & Hertzberger, 2004). The proposed CIMS involves three main paradigms and technologies, consisting of: (1) federated database architecture, (2) virtual organizations paradigm, and (3) grid technology. Introductory information about these technologies and paradigms and their major benefits are covered in the third section, paradigms and technologies.


Author(s):  
Ilpo Huhtiniemi ◽  
Massimo Anselmi ◽  
Gary Vassallo ◽  
Flaviano Bruno ◽  
Giulio Panini

This paper reviews the experience gained when setting-to-work a state-of-the-art waste characterisation facility that will be a fundamental element in the JRC’s strategy to characterise radioactive wastes originating from four decades of nuclear research activities conducted at the Ispra Site. In a previous paper at ICEM ’01, the authors described the specifications for the principal components of a Waste Characterisation System (WCS) and the ensuing contractor selection process via a public tendering procedure. The present paper has a broader perspective by addressing the whole waste characterisation facility of which the WCS forms a part. In the opening section, the main constituents of the facility are reviewed, and their optimised integration to respect emerging Italian standards, conventional safety principles, ALARA and operational efficiency, are discussed. The second part of the paper examines the analyses required for the licensing of the waste characterisation facility. Finally, the paper concludes with a summary of the lessons learned from the setting-to-work phase of the facility. Since the facility combines a state-of-the-art NDA solution with comprehensive process automation in an industrial environment, the experience is expected to be of significant interest to the radioactive waste management community.


2020 ◽  
Vol 50 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Changwon Suh ◽  
Clyde Fare ◽  
James A. Warren ◽  
Edward O. Pyzer-Knapp

Machine learning, applied to chemical and materials data, is transforming the field of materials discovery and design, yet significant work is still required to fully take advantage of machine learning algorithms, tools, and methods. Here, we review the accomplishments to date of the community and assess the maturity of state-of-the-art, data-intensive research activities that combine perspectives from materials science and chemistry. We focus on three major themes—learning to see, learning to estimate, and learning to search materials—to show how advanced computational learning technologies are rapidly and successfully used to solve materials and chemistry problems. Additionally, we discuss a clear path toward a future where data-driven approaches to materials discovery and design are standard practice.


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Kleanthis Thramboulidis

The industrial and research activities around the IEC 61499 architecture for distributed automation systems are discussed by Vyatkin, (2011). Research results related to the design of this kind of systems as well as to the execution of IEC 61449 on embedded devices are reviewed. It is claimed that IEC 61499 has been developed to enable intelligent automation through the distribution of software components and that the industry will benefit through its adoption from the promise of the intelligence automation research results. In this paper, several observations are presented on the arguments that are used to prove that IEC 61499 is a solid technology for industrial automation systems development. Portability, interoperability, code modularity, reusability, and reconfigurability as well as determinism and the event-driven execution of IEC 61499 are discussed.


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