Sea Captains’ Views on Automated Ship Route Optimization in Ice-covered Waters

2019 ◽  
Vol 73 (2) ◽  
pp. 364-383
Author(s):  
Ville V. Lehtola ◽  
Jakub Montewka ◽  
Johanna Salokannel
Keyword(s):  
State Of The Art ◽  
Code Of Conduct ◽  
Route Optimization ◽  
Essential Information ◽  
Current State ◽  
Open Questions ◽  
Maritime Studies ◽  
Ship Route ◽  
Ice Navigation ◽  
Shed Light

Safety in ice-covered polar waters can be optimised via the choice of a ship's route. This is of utmost importance for conventional as well as autonomous ships. However, the current state of the art in e-Navigation tools has left two open questions. First, what essential information are these tools still missing, and second, how they are seen by sea captains. In order to address these questions, we organised an ice navigation workshop to systematically collect routing justifications given by and waypoints planned by experienced sea captains that are particularly seasoned in ice navigation. Here, we report the outcome of that workshop. Our key findings include the reasoning and the commentary of the participants in looking for a better and safer route. These comments shed light upon both the official and unofficial code of conduct in open waters and boil down into a list of additional prerequisite information if further steps towards system autonomy are sought. Finally, the expert-planned waypoints are to be published alongside this paper to act as a benchmark for future maritime studies.

scholarly journals A Survey of Graphical Page Object Detection with Deep Neural Networks

2021 ◽  
Author(s):  
Jwalin Bhatt ◽  
Khurram Azeem Hashmi ◽  
Muhammad Zeshan Afzal ◽  
Didier Stricker
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Conceptual Understanding ◽  
Deep Neural Networks ◽  
State Of The Art ◽  
Learning Approaches ◽  
Document Images ◽  
Essential Information ◽  
Current State ◽  
High Level

In any document, graphical elements like tables, figures, and formulas contain essential information. The processing and interpretation of such information require specialized algorithms. Off-the-shelf OCR components cannot process this information reliably. Therefore, an essential step in document analysis pipelines is to detect these graphical components. It leads to a high-level conceptual understanding of the documents that makes digitization of documents viable. Since the advent of deep learning, the performance of deep learning-based object detection has improved many folds. In this work, we outline and summarize the deep learning approaches for detecting graphical page objects in the document images. Therefore, we discuss the most relevant deep learning-based approaches and state-of-the-art graphical page object detection in document images. This work provides a comprehensive understanding of the current state-of-the-art and related challenges. Furthermore, we discuss leading datasets along with the quantitative evaluation. Moreover, it discusses briefly the promising directions that can be utilized for further improvements.

High-performance computing systems: Status and outlook

Acta Numerica ◽  
2012 ◽  
Vol 21 ◽  
pp. 379-474 ◽  
Author(s):  
J. J. Dongarra ◽  
A. J. van der Steen
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
State Of The Art ◽  
Computing Systems ◽  
Future Developments ◽  
Steady Growth ◽  
Current State ◽  
Near Future ◽  
Performance Computing ◽  
Shed Light

This article describes the current state of the art of high-performance computing systems, and attempts to shed light on near-future developments that might prolong the steady growth in speed of such systems, which has been one of their most remarkable characteristics. We review the different ways devised to speed them up, both with regard to components and their architecture. In addition, we discuss the requirements for software that can take advantage of existing and future architectures.

An Overview of Current Methods Used in Weather Routeing

1988 ◽  
Vol 41 (1) ◽  
pp. 101-114 ◽  
Author(s):  
R. Motte ◽  
R. S. Burns ◽  
S. Calvert
Keyword(s):  
State Of The Art ◽  
Route Optimization ◽  
Data Handling ◽  
Ship Resistance ◽  
Current State ◽  
Performance Curves ◽  
Speed Performance

The aim of this paper is to provide a collective overview of current state-of-the-art weather routeing and it is therefore intended to give a descriptive appraisal. Essentially the paper will concentrate upon the vessel route optimization procedures, data-handling techniques including the parameters necessary to implement the methods, the ship-resistance characteristics and the James speed performance curves.

scholarly journals Advancements in perovskite solar cells: photophysics behind the photovoltaics

2014 ◽  
Vol 7 (8) ◽  
pp. 2518-2534 ◽  
Author(s):  
Tze Chien Sum ◽  
Nripan Mathews
Keyword(s):  
Solar Cells ◽  
State Of The Art ◽  
Perovskite Solar Cells ◽  
Current State ◽  
Open Questions ◽  
Working Mechanisms

This article reviews the fundamental photophysics and working mechanisms of perovskite solar cells and highlights the current state-of-the-art and open questions in this maturing field.

A Brief History of Prosthetics and Orthotics of the Lower Body and Their Types

2021 ◽  
pp. 365-380
Author(s):  
Dheeman Bhuyan ◽  
Kaushik Kumar
Keyword(s):  
Historical Perspective ◽  
State Of The Art ◽  
Lower Body ◽  
Form And Function ◽  
Current State ◽  
History Of ◽  
And Function ◽  
Shed Light

Prosthetics and orthotics are items taken for granted in today's day and age. However, this has not always been the case. The history of these everyday items is long and very colorful. In this chapter, the authors shed light on the history and development of prosthetics and orthotics of the lower body in order to better understand the current state of the art in the fields. A historical perspective is provided followed by enumeration of the types of devices and techniques available without going into the form and function of individual products.

scholarly journals A Survey of Graphical Page Object Detection with Deep Neural Networks

2021 ◽  
Vol 11 (12) ◽  
pp. 5344
Author(s):  
Jwalin Bhatt ◽  
Khurram Azeem Hashmi ◽  
Muhammad Zeshan Afzal ◽  
Didier Stricker
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Conceptual Understanding ◽  
Deep Neural Networks ◽  
State Of The Art ◽  
Learning Approaches ◽  
Document Images ◽  
Essential Information ◽  
Current State ◽  
High Level

In any document, graphical elements like tables, figures, and formulas contain essential information. The processing and interpretation of such information require specialized algorithms. Off-the-shelf OCR components cannot process this information reliably. Therefore, an essential step in document analysis pipelines is to detect these graphical components. It leads to a high-level conceptual understanding of the documents that make the digitization of documents viable. Since the advent of deep learning, deep learning-based object detection performance has improved many folds. This work outlines and summarizes the deep learning approaches for detecting graphical page objects in document images. Therefore, we discuss the most relevant deep learning-based approaches and state-of-the-art graphical page object detection in document images. This work provides a comprehensive understanding of the current state-of-the-art and related challenges. Furthermore, we discuss leading datasets along with the quantitative evaluation. Moreover, it discusses briefly the promising directions that can be utilized for further improvements.

A Brief History of Prosthetics and Orthotics of the Lower Body and Their Types

2019 ◽  
pp. 36-56
Author(s):  
Dheeman Bhuyan ◽  
Kaushik Kumar
Keyword(s):  
Historical Perspective ◽  
State Of The Art ◽  
Lower Body ◽  
Form And Function ◽  
Current State ◽  
History Of ◽  
And Function ◽  
Shed Light

Prosthetics and orthotics are items taken for granted in today's day and age. However, this has not always been the case. The history of these everyday items is long and very colorful. In this chapter, the authors shed light on the history and development of prosthetics and orthotics of the lower body in order to better understand the current state of the art in the fields. A historical perspective is provided followed by enumeration of the types of devices and techniques available without going into the form and function of individual products.

scholarly journals Explainable Embodied Agents Through Social Cues

2021 ◽  
Vol 10 (3) ◽  
pp. 1-24
Author(s):  
Sebastian Wallkötter ◽  
Silvia Tulli ◽  
Ginevra Castellano ◽  
Ana Paiva ◽  
Mohamed Chetouani
Keyword(s):  
State Of The Art ◽  
Social Cues ◽  
Interested Reader ◽  
Embodied Agents ◽  
The Past ◽  
Current State ◽  
Open Questions ◽  
The Impact

The issue of how to make embodied agents explainable has experienced a surge of interest over the past 3 years, and there are many terms that refer to this concept, such as transparency and legibility. One reason for this high variance in terminology is the unique array of social cues that embodied agents can access in contrast to that accessed by non-embodied agents. Another reason is that different authors use these terms in different ways. Hence, we review the existing literature on explainability and organize it by (1) providing an overview of existing definitions, (2) showing how explainability is implemented and how it exploits different social cues, and (3) showing how the impact of explainability is measured. Additionally, we present a list of open questions and challenges that highlight areas that require further investigation by the community. This provides the interested reader with an overview of the current state of the art.

Behavioral Genetics: Concepts for Research and Practice in Language Development and Disorders

1995 ◽  
Vol 38 (5) ◽  
pp. 1126-1142 ◽  
Author(s):  
Jeffrey W. Gilger
Keyword(s):  
Language Development ◽  
Behavioral Genetics ◽  
State Of The Art ◽  
Genetic Research ◽  
Great Promise ◽  
Behavioral Genetic ◽  
Fine Grained ◽  
Future Goals ◽  
Current State ◽  
Research Designs

This paper is an introduction to behavioral genetics for researchers and practioners in language development and disorders. The specific aims are to illustrate some essential concepts and to show how behavioral genetic research can be applied to the language sciences. Past genetic research on language-related traits has tended to focus on simple etiology (i.e., the heritability or familiality of language skills). The current state of the art, however, suggests that great promise lies in addressing more complex questions through behavioral genetic paradigms. In terms of future goals it is suggested that: (a) more behavioral genetic work of all types should be done—including replications and expansions of preliminary studies already in print; (b) work should focus on fine-grained, theory-based phenotypes with research designs that can address complex questions in language development; and (c) work in this area should utilize a variety of samples and methods (e.g., twin and family samples, heritability and segregation analyses, linkage and association tests, etc.).

Schizophrenia Research: Current State of the Art

1976 ◽  
Vol 21 (7) ◽  
pp. 497-498
Author(s):  
STANLEY GRAND
Keyword(s):  
State Of The Art ◽  
Current State
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