scholarly journals Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5012 ◽  
Author(s):  
Bilal Arshad ◽  
Robert Ogie ◽  
Johan Barthelemy ◽  
Biswajeet Pradhan ◽  
Nicolas Verstaevel ◽  
...  
Keyword(s):  
Systematic Review ◽  
Computer Vision ◽  
Coastal Lagoons ◽  
Early Warning Systems ◽  
Flood Management ◽  
Sensor Data ◽  
Future Research ◽  
Warning Systems ◽  
Flood Monitoring ◽  
Computer Vision Applications

Floods are amongst the most common and devastating of all natural hazards. The alarming number of flood-related deaths and financial losses suffered annually across the world call for improved response to flood risks. Interestingly, the last decade has presented great opportunities with a series of scholarly activities exploring how camera images and wireless sensor data from Internet-of-Things (IoT) networks can improve flood management. This paper presents a systematic review of the literature regarding IoT-based sensors and computer vision applications in flood monitoring and mapping. The paper contributes by highlighting the main computer vision techniques and IoT sensor approaches utilised in the literature for real-time flood monitoring, flood modelling, mapping and early warning systems including the estimation of water level. The paper further contributes by providing recommendations for future research. In particular, the study recommends ways in which computer vision and IoT sensor techniques can be harnessed to better monitor and manage coastal lagoons—an aspect that is under-explored in the literature.

scholarly journals Facial Expression Recognition Using Computer Vision: A Systematic Review

2019 ◽  
Vol 9 (21) ◽  
pp. 4678 ◽  
Author(s):  
Daniel Canedo ◽  
António J. R. Neves
Keyword(s):  
Systematic Review ◽  
Computer Vision ◽  
Facial Expression ◽  
Emotion Recognition ◽  
Facial Expression Recognition ◽  
Principal Component ◽  
Local Binary Patterns ◽  
Future Research ◽  
Expression Recognition ◽  
Contemporary World

Emotion recognition has attracted major attention in numerous fields because of its relevant applications in the contemporary world: marketing, psychology, surveillance, and entertainment are some examples. It is possible to recognize an emotion through several ways; however, this paper focuses on facial expressions, presenting a systematic review on the matter. In addition, 112 papers published in ACM, IEEE, BASE and Springer between January 2006 and April 2019 regarding this topic were extensively reviewed. Their most used methods and algorithms will be firstly introduced and summarized for a better understanding, such as face detection, smoothing, Principal Component Analysis (PCA), Local Binary Patterns (LBP), Optical Flow (OF), Gabor filters, among others. This review identified a clear difficulty in translating the high facial expression recognition (FER) accuracy in controlled environments to uncontrolled and pose-variant environments. The future efforts in the FER field should be put into multimodal systems that are robust enough to face the adversities of real world scenarios. A thorough analysis on the research done on FER in Computer Vision based on the selected papers is presented. This review aims to not only become a reference for future research on emotion recognition, but also to provide an overview of the work done in this topic for potential readers.

The effect of adult Early Warning Systems education on nurses’ knowledge, confidence and clinical performance: A systematic review

2017 ◽  
Vol 73 (11) ◽  
pp. 2506-2521 ◽  
Author(s):  
Mohamad M. Saab ◽  
Bridie McCarthy ◽  
Tom Andrews ◽  
Eileen Savage ◽  
Frances J. Drummond ◽  
...  
Keyword(s):  
Systematic Review ◽  
Early Warning ◽  
Clinical Performance ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Nurses Knowledge

Current State and Solutions for Future Challenges in Early Warning Systems and Alerting Technologies

2011 ◽  
pp. 108-130 ◽  
Author(s):  
Ulrich Meissen ◽  
Agnès Voisard
Keyword(s):  
Information And Communication Technologies ◽  
Early Warning ◽  
Communication Technologies ◽  
Early Warning Systems ◽  
Future Research ◽  
Warning Systems ◽  
Current State ◽  
Future Challenges ◽  
Critical Issues ◽  
Information And Communication

The deployment of Early Warning Systems (EWS) and Alerting Technologies (AT) is one of the best measures for improved disaster prevention and mitigation. With the evolution of Information and Communication Technologies (ICT), we face new opportunities as well as new challenges for improving classical warning processes. This chapter concentrates on the main aspects of existing early warning systems and alerting technologies. Beginning with the definition and classifications in this field, we describe general approaches, representative systems, and interoperability aspects of EWS. Furthermore, we introduce a list of criteria for evaluating and comparing existing systems. It is worth noting that the deployment of an operational EWS is a complex challenge and remains a young field of research. This is due to many reasons, ranging from the political to the technical. The most critical issues regarding efficient alerting are described in this chapter, along with areas for future research.

scholarly journals Paediatric early warning systems for detecting and responding to clinical deterioration in children: a systematic review

BMJ Open ◽  
2017 ◽  
Vol 7 (3) ◽  
pp. e014497 ◽  
Author(s):  
Veronica Lambert ◽  
Anne Matthews ◽  
Rachel MacDonell ◽  
John Fitzsimons
Keyword(s):  
Systematic Review ◽  
Early Warning ◽  
Early Warning Systems ◽  
Clinical Deterioration ◽  
Warning Systems

scholarly journals Loan asset indicators and commercial bank fragility in Kenya

2021 ◽  
Vol 29 (1) ◽  
pp. 25-36
Author(s):  
Albert Camus Onyango Bwire
Keyword(s):  
Commercial Bank ◽  
Early Warning ◽  
Statistical Significance ◽  
Early Warning Systems ◽  
Future Research ◽  
Research Approach ◽  
Exploratory Research ◽  
Warning Systems ◽  
Loan Portfolio ◽  
Lagged Dependent Variable

Purpose. To test the predictive ability of loan asset indicators on Commercial bank fragility in Kenya.  Design/Method/Research approach. The study adopted positivism research philosophy with exploratory research design. The study population was 42 Commercial banks in operation on 31st December 2015. Secondary data was collected from Central Bank of Kenya and analysed using Stata Statistics/Data analysis. Generalised Linear Model was used to establish the relationship between asset indicators and bank fragility. The concept of credit creation was explored as the genesis of bank fragility. This study is part of early warning systems in detecting bank fragility. Findings. The research found a direct relationship between a lagged dependent variable, loan portfolio growth, loan deposit ratio and bank fragility. Practical implications. Recommendations are followed on the basis of this study. At first, regulator develop a potential solution to control loan portfolio growth, cap loan deposit ratio and limit the level of non-performing loans. Banking practitioners should model monthly reporting requirements to ensure that banks are able to disclose the ratio and explain any significant changes. Secondly, since Non-performing loans can act as an incentive for bank managers to seek deposits and lend more thereby exacerbating the problem, banks with NPL to gross loans greater than an upper threshold determined by the regulator should not be allowed to attract more deposits. Thirdly, set the maximum level of loan deposit ratio to avoid expensive, sensitive and high-risk loan capital. Implementation of these recommendations will lead to secured social welfare. Originality/Value. The study examines the role of certain loan asset indicators on bank fragility and extends the discussion in the area of early warning systems and commercial bank instability in Kenya. Research limitations/Future Research. This research contributes to the discussion on bank fragility and early warning systems. The further research should review evidence from other jurisdiction with high numbers of distressed institutions to determine how many months or years before distress the three significant variables could predict fragility. Besides, there is need for research on insider loans as defined and why there was no statistical significance. Paper type. Empirical.

scholarly journals A systematic review of Community Engagement (CE) in Disaster Early Warning Systems (EWSs)

2020 ◽  
Vol 5 ◽  
pp. 100058
Author(s):  
Sofyan Sufri ◽  
Febi Dwirahmadi ◽  
Dung Phung ◽  
Shannon Rutherford
Keyword(s):  
Systematic Review ◽  
Community Engagement ◽  
Early Warning ◽  
Early Warning Systems ◽  
Warning Systems

scholarly journals Towards an improved understanding of participation in natural hazard early warning systems

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Georgina Clegg ◽  
Richard Haigh ◽  
Dilanthi Amaratunga
Keyword(s):  
Conceptual Understanding ◽  
Early Warning ◽  
Natural Hazard ◽  
Early Warning Systems ◽  
Future Research ◽  
Warning Systems ◽  
Content Type ◽  
Academic Literature ◽  
Online Searches ◽  
Risk Knowledge

Purpose The purpose of this paper is to improve the conceptual understanding of the process of participation in early warning systems (EWS) through a review of participatory EWS examples in the academic literature. Specifically, this paper asks: who is involved, what responsibilities do participants hold, what activities are they involved in, and what are the associated successes, issues and outcomes? Design/methodology/approach A total of 30 cases of participation in EWS documented in the academic literature were identified through online searches. Existing concepts in participation (power and responsibility, communication) and people-centred early warning (risk knowledge, monitoring and warning, communication and dissemination and response capability) were used to examine each paper. Findings Participation was found to take place through a range of activities across all elements of the EWS. Participation also varied in breadth of inclusion, ranging from the general public to selected volunteers. The majority of cases received support and facilitation from other actors, such as government and NGOs, but the extent of power and responsibility held by participants varied greatly within this. Common successes and issues associated with participatory EWS and the potential outcomes are presented, and the opportunities, challenges and gaps in knowledge are discussed. Originality/value This paper links participation and EWS literature to form a clearer conceptualisation of participation in EWS in support of future research in the field. It provides unique insights into who participates, their roles and relations with other actors and the outcomes of participation.

scholarly journals A Bibliometric Analysis of Drought Indices, Risk, and Forecast as Components of Drought Early Warning Systems

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 253
Author(s):  
Gokhan Yildirim ◽  
Ataur Rahman ◽  
Vijay Singh
Keyword(s):  
Bibliometric Analysis ◽  
Early Warning Systems ◽  
Drought Indices ◽  
Future Research ◽  
Drought Risk ◽  
Warning Systems ◽  
Prolific Author ◽  
Productive Author ◽  
The Usa ◽  
Academic Influence

In this study, we apply a bibliometric analysis to characterize publication data on droughts, mainly focusing on drought indices (DIs), drought risk (DR), and drought forecast (DF). Data on publications on these selected topics were obtained through the Scopus database, covering the period from 1963 to June 2021. The DI-related publications, based on meteorological, soil moisture, hydrological, remote sensing, and composite/modeled Dis, accounted for 57%, 8%, 4%, 29%, and 2% of the scientific sources, respectively. DI-related studies showed a notable increase since the 1990s, due perhaps to a higher number of major droughts during the last three decades. It was found that USA and China were the two leading countries in terms of publication count and academic influence on the DI, DR, and DF studies. A network analysis of the country of residence of co-authors on DR and DF research highlighted the top three countries, which were the USA, China, and the United Kingdom. The most productive journal for the DI studies was found to be the International Journal of Climatology, whereas Natural Hazards was identified as the first-ranked journal for the DR and DF studies. In relation to individual researchers, Singh VP from the USA was found to be the most prolific author, having the greatest academic influence on DF study, whereas Zhang Q from China was identified as the most productive author on DR study. This bibliometric analysis reveals that further research is needed on droughts in the areas of risk management, water management, and drought management. This review maps trends of previous research in drought science, covering several important aspects, such as drought indices, geographic regions, authors and their collaboration paths, and sub-topics of interest. This article is expected to serve as an index of the current state of knowledge on drought warning systems and as guidance for future research needs.

scholarly journals Object Analysis with Visual Sensors and RFID

2012 ◽  
pp. 234-250 ◽  
Author(s):  
Gour Karmakar ◽  
Laurence S. Dooley ◽  
Nemai Chandra Karmakar ◽  
Joarder Kamruzzaman
Keyword(s):  
Computer Vision ◽  
Radio Frequency Identification ◽  
Vision Research ◽  
Object Representation ◽  
Future Research ◽  
Visual Sensors ◽  
Fundamental Limitations ◽  
Frequency Identification ◽  
Future Research Directions ◽  
Computer Vision Applications

Object analysis using visual sensors is one of the most important and challenging issues in computer vision research due principally to difficulties in object representation, segmentation, and recognition within a general framework. This has motivated researchers to investigate exploiting the potential identification capability of RFID (radio frequency identification) technology for object analysis. RFID however, has a number of fundamental limitations including a short sensing range, missing tag detection, not working for all objects, and some items being just too small to be tagged. This has meant applying RFID alone has not been entirely effective in computer vision applications. To address these restrictions, object analysis approaches based on a combination of visual sensors and RFID have recently been successfully introduced. This chapter presents a contemporary review on these object analysis techniques for localisation, tracking, and object and activity recognition, together with some future research directions in this burgeoning field.

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