Seeing Colours: Addressing Colour Vision Deficiency with Vision Augmentations using Computational Glasses

2022 ◽  
Vol 29 (3) ◽  
pp. 1-53
Author(s):  
Jonathan Sutton ◽  
Tobias Langlotz ◽  
Alexander Plopski
Keyword(s):  
Literature Review ◽  
Visual Impairment ◽  
Real World ◽  
Colour Vision ◽  
State Of The Art ◽  
The State ◽  
Colour Vision Deficiency ◽  
Compensation Methods ◽  
Head Mounted Displays

Colour vision deficiency is a common visual impairment that cannot be compensated for using optical lenses in traditional glasses, and currently remains untreatable. In our work, we report on research on Computational Glasses for compensating colour vision deficiency. While existing research only showed corrected images within the periphery or as an indirect aid, Computational Glasses build on modified standard optical see-through head-mounted displays and directly modulate the user’s vision, consequently adapting their perception of colours. In this work, we present an exhaustive literature review of colour vision deficiency compensation and subsequent findings; several prototypes with varying advantages—from well-controlled bench prototypes to less controlled but higher application portable prototypes; and a series of studies evaluating our approach starting with proving its efficacy, comparing to the state-of-the-art, and extending beyond static lab prototypes looking at real world applicability. Finally, we evaluated directions for future compensation methods for computational glasses.

Establishing the state-of-the-art on the adsorption of coexisting pnictogens in water: A literature review

Chemosphere ◽  
2021 ◽  
pp. 131947
Author(s):  
Ariana M.A. Pintor ◽  
Isabella T. Tomasi ◽  
Rui A.R. Boaventura ◽  
Cidália M.S. Botelho
Keyword(s):  
Literature Review ◽  
State Of The Art ◽  
The State

Planning of Material Handling : Literature Review

2019 ◽  
Vol 13 (2) ◽  
pp. 29-44
Author(s):  
Péter Telek ◽  
Ákos Cservenák
Keyword(s):  
Literature Review ◽  
Material Handling ◽  
State Of The Art ◽  
The State ◽  
Integrated Planning ◽  
Complex Process ◽  
Individual Planning ◽  
The Individual ◽  
The University

Nowadays, there are many well proved, effective processes to solve planning tasks in the field of material handling used advanced calculations forms and software. Unfortunately, most of them are used for individual tasks, so the applicability of their results is limited. The Institute of Logistics of the University of Miskolc has been working on integrated planning of handling machines for decades, where the individual planning tasks have to be solved together in a complex process. The main aim of this paper to give an overview about the state of the art of the planning of material handling, based on a literature review of the Science Direct publication database. As a result of this research we can determine some new direction for the planning of material handling.

Usability Heuristics for Mobile Phone Applications

2015 ◽  
pp. 143-157 ◽  
Author(s):  
Thaísa C. Lacerda ◽  
Juliane V. Nunes ◽  
Christiane Gresse von Wangenheim
Keyword(s):  
Literature Review ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Systematic Literature Review ◽  
Mobile Applications ◽  
State Of The Art ◽  
The State ◽  
Computer Applications ◽  
Starting Point ◽  
Mobile Phone Applications

In this chapter, we discuss the importance of evaluating the usability of mobile applications using tools and technics that consider their specific characteristics. One common way to evaluate usability is using heuristics. However, since many assumptions regarding usability of computer applications are not true for mobile applications, a question arises: does there exist usability heuristics specific for this type of device? To answer this question, we conducted a systematic literature review. We mapped the encountered sets of heuristics to Nielsen's ten heuristics and identified additional ones specifically proposed for this kind of device. Our review indicates that research with respect to usability heuristics for mobile phones are still sparse. Nevertheless, this chapter provides an overview on the state of the art that can guide the design and evaluation of interfaces for mobile applications as well as provide a starting point for the evolution of such customized heuristics.

Gas Turbine Using In Situ Combustion

2016 ◽  
Vol 859 ◽  
pp. 20-28
Author(s):  
Cleopatra Florentina Cuciumita ◽  
Ionuţ Porumbel ◽  
Sterian Dănăilă
Keyword(s):  
Literature Review ◽  
Gas Turbine ◽  
State Of The Art ◽  
The State ◽  
Extensive Literature ◽  
Research Project ◽  
Extensive Literature Review ◽  
Gas Turbine Combustion ◽  
New Research

The paper presents the background and objectives of a new research project carried out in the field of in situ gas turbine combustion. An extensive literature review highlighting the state-of-the-art in the field is presented. Several possible solutions for the turbine burner are also included. The objectives and the expected original contributions of the projects conclude the paper.

Process-oriented disaster response management: a structured literature review

2015 ◽  
Vol 21 (5) ◽  
pp. 966-987 ◽  
Author(s):  
Marlen Hofmann ◽  
Hans Betke ◽  
Stefan Sackmann
Keyword(s):  
Literature Review ◽  
Business Process ◽  
Disaster Response ◽  
State Of The Art ◽  
The State ◽  
Wide Field ◽  
Content Type ◽  
Process Oriented ◽  
Disaster Response Management ◽  
Structured Literature Review

Purpose – The application of business process methods in the domain of disaster response management (DRM) is seen as promising approach due to the similarity of business processes and disaster response processes at the general structure and goals. But up to now only a few approaches were able to handle the special characteristics of the DRM domain. Thus, the purpose of this paper is to identify the existing approaches and analyze them for the discussion of general requirements for applying methods and tools from business process management to DRM. Design/methodology/approach – A structured literature review covering a wide field of information system-related publications (conferences and journals) is used to identify and classify general requirements discussed as the state of the art. Findings – The work in this paper resulted in a suitable classification of requirements for the development of process-oriented DRM approaches deduced from the existing work. This was used to outline and analyze the current research landscape of this topic and identify research gaps as well as existing limitations. Research limitations/implications – Although the review of the state of the art is based on a wide set of publication databases, there may exist relevant research papers which have not been taken into consideration. Originality/value – The elaborated requirements provide value for both the research community and practitioners. They can be considered to develop new or improve existing DRM systems and, thus, to exploit the potentials of process-oriented IT in supporting DRM in the case of disaster.

scholarly journals Particle Swarm Contour Search Algorithm

Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 407 ◽  
Author(s):  
Dominik Weikert ◽  
Sebastian Mai ◽  
Sanaz Mostaghim
Keyword(s):  
Image Processing ◽  
Real World ◽  
State Of The Art ◽  
Search Algorithm ◽  
Particle Swarm ◽  
Search Space ◽  
Local Information ◽  
The State ◽  
Complete Knowledge ◽  
Real World Applications

In this article, we present a new algorithm called Particle Swarm Contour Search (PSCS)—a Particle Swarm Optimisation inspired algorithm to find object contours in 2D environments. Currently, most contour-finding algorithms are based on image processing and require a complete overview of the search space in which the contour is to be found. However, for real-world applications this would require a complete knowledge about the search space, which may not be always feasible or possible. The proposed algorithm removes this requirement and is only based on the local information of the particles to accurately identify a contour. Particles search for the contour of an object and then traverse alongside using their known information about positions in- and out-side of the object. Our experiments show that the proposed PSCS algorithm can deliver comparable results as the state-of-the-art.

Debunking the myth of industry 4.0 in health care: insights from a systematic literature review

2020 ◽  
Vol 32 (4) ◽  
pp. 849-868 ◽  
Author(s):  
Mauro Cavallone ◽  
Rocco Palumbo
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Health Services ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Services Quality ◽  
State Of The Art ◽  
The State ◽  
Content Type

PurposeIndustry 4.0, artificial intelligence and digitalization have got a momentum in health care. However, scholars and practitioners do not agree on their implications on health services' quality and effectiveness. The article aims at shedding light on the applications, aftermaths and drawbacks of industry 4.0 in health care, summarizing the state of the art.Design/methodology/approachA systematic literature review was undertaken. We arranged an ad hoc research design, which was tailored to the study purposes. Three citation databases were queried. We collected 1,194 scientific papers which were carefully considered for inclusion in this systematic literature review. After three rounds of analysis, 40 papers were taken into consideration.FindingsIndustry 4.0, artificial intelligence and digitalization are revolutionizing the design and the delivery of care. They are expected to enhance health services' quality and effectiveness, paving the way for more direct patient–provider relationships. In addition, they have been argued to allow a more appropriate use of available resources. There is a dark side of health care 4.0 involving both management and ethical issues.Research limitations/implicationsIndustry 4.0 in health care should not be conceived as a self-nourishing innovation; rather, it needs to be carefully steered at both the policy and management levels. On the one hand, comprehensive governance models are required to realize the full potential of health 4.0. On the other hand, the drawbacks of industry 4.0 should be timely recognized and thoroughly addressed.Originality/valueThe article contextualizes the state of the art of industry 4.0 in the health care context, providing some insights for further conceptual and empirical developments.

scholarly journals Humanitarian supply chain performance management: a systematic literature review

2014 ◽  
Vol 19 (5/6) ◽  
pp. 592-608 ◽  
Author(s):  
Hella Abidi ◽  
Sander de Leeuw ◽  
Matthias Klumpp
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Performance Measurement ◽  
Supply Chains ◽  
Performance Management ◽  
State Of The Art ◽  
The State ◽  
Content Type ◽  
Humanitarian Supply Chains ◽  
Humanitarian Supply Chain

Purpose – This paper aims to identify the state of the art of performance measurement and management in humanitarian supply chains; to categorize performance measurement indicators in the five supply chain phases of Gunasekaran and Kobu (2007) and evaluate them based on the evaluation criteria of Caplice and Sheffi (1995); and to define gaps and challenges in this field and give insights for future research in this domain. Design/methodology/approach – A literature review has been conducted using a structured method based on Denyer and Tranfield (2009) and Rousseau et al. (2008). The state of the art on humanitarian supply chain performance management with a focus on measurement frameworks and indicators and their applications in practice is classified in three categories. The first category is the definition and measurement of success in humanitarian supply chains. The second category is managing performance, which focuses on describing and analyzing the actual practice of managing performance. The third category shows the challenges in performance management that humanitarian supply chain actors deal with. Findings – Findings reveal that performance measurement and management in humanitarian supply chains is still an open area of research, especially compared to the commercial supply chain sector. Furthermore, the research indicates that performance measurement and management in humanitarian supply chains has to be developed in support of the supply chain strategy. Based on the findings of the literature review on performance measurement and management in the commercial and humanitarian field, a first classification of 94 performance measurement indicators in humanitarian supply chains is presented. Furthermore, the paper shows key problems why performance measurement and management systems have not been widely developed and systematically implemented in humanitarian supply chains and are not part of the supply chain strategy. The authors propose performance measurement guidelines that include input and output criteria. They develop a research agenda that focuses on four research questions for designing, deploying and disseminating performance measurement and management in humanitarian supply chains. Practical implications – The result helps the humanitarian supply chain community to conduct further research in this area and to develop performance measurement frameworks and indicators that suit humanitarian supply chains. Originality/value – It is the first systematic approach to categorize research output regarding performance measurement and management in humanitarian supply chains. The paper shows the state of the art in performance measurement and management in humanitarian supply chains and develops a research agenda.

scholarly journals Scene text removal via cascaded text stroke detection and erasing

2021 ◽  
Vol 8 (2) ◽  
pp. 273-287
Author(s):  
Xuewei Bian ◽  
Chaoqun Wang ◽  
Weize Quan ◽  
Juntao Ye ◽  
Xiaopeng Zhang ◽  
...  
Keyword(s):  
Performance Improvement ◽  
Real World ◽  
Large Scale ◽  
State Of The Art ◽  
The State ◽  
Experimental Results ◽  
Processing Unit ◽  
Final Model ◽  
Scene Text ◽  
End To End

AbstractRecent learning-based approaches show promising performance improvement for the scene text removal task but usually leave several remnants of text and provide visually unpleasant results. In this work, a novel end-to-end framework is proposed based on accurate text stroke detection. Specifically, the text removal problem is decoupled into text stroke detection and stroke removal; we design separate networks to solve these two subproblems, the latter being a generative network. These two networks are combined as a processing unit, which is cascaded to obtain our final model for text removal. Experimental results demonstrate that the proposed method substantially outperforms the state-of-the-art for locating and erasing scene text. A new large-scale real-world dataset with 12,120 images has been constructed and is being made available to facilitate research, as current publicly available datasets are mainly synthetic so cannot properly measure the performance of different methods.

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