Signal Processing for Gigabit-Rate Wireline Communications: An Overview of the State of the Art and Research Challenges

2017 ◽  
Vol 34 (5) ◽  
pp. 141-164 ◽  
Author(s):  
S.M. Zafaruddin ◽  
Itsik Bergel ◽  
Amir Leshem
2021 ◽  
Vol 16 (2) ◽  
pp. 111-135
Author(s):  
Emilio M. Sanfilippo

Information entities are used in ontologies to represent engineering technical specifications, health records, pictures or librarian data about, e.g., narrative fictions, among others. The literature in applied ontology lacks a comparison of the state of the art, and foundational questions on the nature of information entities remain open for research. The purpose of the paper is twofold. First, to compare existing ontologies with both each other and theories proposed in philosophy, semiotics, librarianship, and literary studies in order to understand how the ontologies conceive and model information entities. Second, to discuss some open research challenges that can lead to principled approaches for the treatment of information entities, possibly by getting into account the variety of information entity types found in the literature.


Author(s):  
Rafal Cupek ◽  
Marek Drewniak ◽  
Marcin Fojcik ◽  
Erik Kyrkjebø ◽  
Jerry Chun-Wei Lin ◽  
...  

2018 ◽  
Vol 44 (4) ◽  
pp. 651-658
Author(s):  
Ralph Weischedel ◽  
Elizabeth Boschee

Though information extraction (IE) research has more than a 25-year history, F1 scores remain low. Thus, one could question continued investment in IE research. In this article, we present three applications where information extraction of entities, relations, and/or events has been used, and note the common features that seem to have led to success. We also identify key research challenges whose solution seems essential for broader successes. Because a few practical deployments already exist and because breakthroughs on particular challenges would greatly broaden the technology’s deployment, further R&D investments are justified.


Author(s):  
Mirko Luca Lobina ◽  
Luigi Atzori ◽  
Davide Mula

Many audio watermarking techniques presented in the last years make use of masking and psychological models derived from signal processing. Such a basic idea is winning because it guarantees a high level of robustness and bandwidth of the watermark as well as fidelity of the watermarked signal. This chapter first describes the relationship between digital right management, intellectual property, and use of watermarking techniques. Then, the crossing use of watermarking and masking models is detailed, providing schemes, examples, and references. Finally, the authors present two strategies that make use of a masking model, applied to a classic watermarking technique. The joint use of classic frameworks and masking models seems to be one of the trends for the future of research in watermarking. Several tests on the proposed strategies with the state of the art are also offered to give an idea of how to assess the effectiveness of a watermarking technique.


2019 ◽  
Vol 18 (5) ◽  
pp. 3049-3082 ◽  
Author(s):  
Nelly Bencomo ◽  
Sebastian Götz ◽  
Hui Song

Author(s):  
Marijn Janssen ◽  
George Kuk

Stimulated by the need to reduce cost and improve service provisioning and client involvement at the same time, the concept of business models has gained attention in the e-government domain over the last few years. Business models can appear at the individual organization and network level and describes how an entity plans to provide services. The basic premise of business models is that it helps to understand the relation between service offering and other elements and can be used as an instrument to improve service provisioning and lowering cost at the same time. In this chapter an overview of the state-of-the-art of e-government business models, a theory integrating the various elements and research challenges and issues are presented. There is ample need for research and overcoming these challenges result in better leveraging the advantages of business models.


2017 ◽  
Vol 1 (48) ◽  
pp. 51-70 ◽  
Author(s):  
Igor Jakubiak

Abstract Immigration is one of the heavily discussed subjects in modern academic and political debate. In recent decades, fiscal effects of international migration remained the centre of interest. The goal of this paper is to review and synthesise the available literature, devoted to the relationship between immigration and welfare systems, in order to present the state of the art in this area and draw conclusions for further research. Despite extensive literature, it is difficult to find an unambiguous answer to the question, whether immigrants are a burden or an asset to the state with redistributive policies. Moreover, some of the assumptions and approaches widely used in presented articles appear too simplistic or even unfounded.


Author(s):  
Zixuan Ke ◽  
Vincent Ng

Despite being investigated for over 50 years, the task of automated essay scoring is far from being solved. Nevertheless, it continues to draw a lot of attention in the natural language processing community in part because of its commercial and educational values as well as the associated research challenges. This paper presents an overview of the major milestones made in automated essay scoring research since its inception.


2022 ◽  
Author(s):  
Shayan Mookherjee

Multi-microresonator photonic circuits can improve the conversion efficiency of nonlinear optics, realize higher-order, implement programmable filters, and other advances in optical signal processing. However, such structures are challenging to realize in practice. Through a deeper understanding of disorder effects in photonics, we have greatly advanced the state-of-the-art in CROW structures and their applications in linear, nonlinear and quantum optics.


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