Forest Fire Scenarios in Digital Platforms

2021 ◽  
pp. 149-176
Author(s):  
Liliana Gonçalves ◽  
Lídia Oliveira
Keyword(s):  
Conceptual Framework ◽  
Forest Fire ◽  
Forest Fires ◽  
Mobile Apps ◽  
The Internet ◽  
Digital Platforms ◽  
Digital Platform ◽  
Fire Scenarios ◽  
Facebook Pages

Forest fires are widespread in Portugal, particularly in the summer. Recently, in 2017, Portugal had two great fires. As a result, more than 120 people died, hundreds suffered injuries and registered significant economic and environmental losses. Since then, and due to the evolution and democratization of the internet and technology devices, forest fire content is much more common in cyberspace. Thus, to understand this issue, the authors propose to outline a profile of the digital platforms used in forest fire situations. The goal is to understand the uses and commitment arising from forest fires' issues in digital platforms by presenting a conceptual framework in Portugal's specific case. The authors analyzed webpages, mobile apps, Facebook pages and groups, and YouTube channels, focusing on forest fires contents. By understanding the kind of digital platform, its contents, uses, and interaction, this chapter contributes to understanding digital platforms' role in crisis and disaster scenarios such as wildfires.

scholarly journals Architectures of contemporary digital platforms in education. Analysis of exclusion processes

2021 ◽  
Author(s):  
Inés María González Vidal
Keyword(s):  
Meta Analysis ◽  
The Internet ◽  
Synthesis Methods ◽  
Educational Context ◽  
Digital Information ◽  
Exclusion Processes ◽  
Digital Platforms ◽  
Digital Platform ◽  
The Social ◽  
Analysis And Synthesis

Abstract The Internet is a wide, open and dynamic ecosystem of digital platforms where people and technologies contribute to the creation and consumption of digital information. The convergence of the Internet and the accelerated change of technological innovation have been the engines of society and its development, and all this has caused transformations in the social, economic and educational context. In this context, this work analyzes contemporary digital platform architectures and their influence on the processes of educational exclusion. To meet the objectives, the crucial changes brought about by digitally mediated life are studied; the conceptual and technological aspects that characterize contemporary digital platform architectures; and its influence on exclusion processes. This research is supported by qualitative research methodologies; the analysis and synthesis methods, the PRISMA model, and a meta-analysis of data extracted from the Scopus databases and the Web of Science-WOS is also carried out. The work shows changes in the social and educational context given the consolidation of the Internet through contemporary digital platform architectures and its influence on the processes of social, digital and educational exclusion. The need to promote equal opportunities, active participation and the capacity for professional insertion between women and men is visualized.

scholarly journals SISTEM PERINGATAN DINI KEBAKARAN HUTAN MENGGUNAKAN MODUL NODEMCU DAN BOT TELEGRAM DENGAN KONSEP INTERNET OF THINGS (IOT)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Mohamad Jamil ◽  
Hafid Saefudin ◽  
Sarby Marasabessy
Keyword(s):  
Internet Of Things ◽  
Forest Fire ◽  
Early Warning ◽  
Forest Fires ◽  
Early Warning System ◽  
Warning System ◽  
Fire Department ◽  
The Internet ◽  
Living Things ◽  
The Internet Of Things

Forests have an important role in the life of living things. Nowadays forest fires (Karhutla) become a serious problem that can disrupt the symbiosis and life chain of living things. This problem has become a concern for the community, government and the world. Data obtained until August 2019 recorded 328,724 hectares and burned forest land. To overcome this problem, the government has made various efforts in the form of appeals or legal sanctions on actions that threaten forest sustainability whether carried out individually or in groups. Many cases of forest fires are known when a fire has occurred and little can be detected early. Information on the occurrence of many fires was obtained by residents around the location of the fire. To get the help of the fire department, community participation is needed, to contact the fire department so that they can anticipate the fire disaster early. The aim of this research is to develop a forest fire early warning system using the nodemcu module and the Telegram BOT with the Internet of Things (IOT) concept. Based on the test results of the Forest Fire early warning system using the Nodemcu module and the Telegram BOT with the concept of the Internet of Things (IOT) it is very helpful to provide quick information to find out fires that occur in the forest, by using the Internet of Things method, the officer will be able to know the conditions in real time, because this technology is capable of monitoring hardware using internet communication tools such as Telegram so that distance and location are not affected as long as the sensor used detects changes that occur.Keywords: Internet Of Things, Nodemcu, Telegram, Thingspeak, Forest fires

Forest Fire Propagation in Inclined Terrains

2001 ◽  
Author(s):  
K. Satoh ◽  
K. T. Yang
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Control Strategies ◽  
Weather Conditions ◽  
Strong Wind ◽  
Fire Control ◽  
Fire Propagation ◽  
Hot Air ◽  
Fire Scenarios ◽  
Local Weather

Abstract Forest fires are of common occurrence all over the world, causing the loss of precious natural resources. The propagation of forest fires depends on many factors, notably local weather conditions. Additionally, the local terrain such as mountainous areas also plays an important role. For instance, forest fires may propagate from mountain ridges to ridges due to locally strong wind by means of firebrands and hot air flows. While much is known cm the methodologies on the forest fire control, they are largely empirical and may not be totally effective. Therefore, scientific studies based on fundamental physical understanding of the underlying phenomena are needed to provide definitive data on cause-effect relationships in various forest fire scenarios, so that the collective database can be used to suggest control strategies and preventive measures for forest fires. The present study is motivated by this approach, and specifically focuses on the phenomena of rapid forest-fire propagation from mountain slqpes to other similar mountain slopes in the direction of the wind. The study deals with both laboratory experiments and numerical simulations by the use of a CFD-based fire field model.

Grassroots Resistance to Digital Platforms and Relational Business Model Design to Overcome It: A Conceptual Framework

2020 ◽  
Vol 5 (3) ◽  
pp. 271-291 ◽  
Author(s):  
Joan Enric Ricart ◽  
Yuliya Snihur ◽  
Carlos Carrasco-Farré ◽  
Pascual Berrone
Keyword(s):  
Collective Action ◽  
Conceptual Framework ◽  
Business Model ◽  
Business Models ◽  
Stakeholder Management ◽  
Model Design ◽  
Digital Platforms ◽  
Digital Platform ◽  
Business Model Design ◽  
Precarious Labor

Although extant research has studied incumbent resistance to digital platforms, it provides little understanding about when grassroots collective action by other ecosystem stakeholders against the digital platform is likely. In this paper, we identify the scope conditions detailing when local stakeholders can initiate grassroots collective action against the digital platform, a unique context characterized by fast growth, distributed innovation, role flexibility, and direct local connectivity, and propose viable solutions. Our conceptual framework suggests that grassroots collective action against the digital platform is most likely when the digital platform operates with localized scarce assets or localized precarious labor and when actors express their grievances through formalized channels. We combine business model design and stakeholder management perspectives to develop design-based solutions that involve a multisided business model structure, an inclusive stakeholder value proposition, and an ecosystem-centered governance. We call the combination of such design efforts relational business model design. To the incipient theory of digital platforms, we contribute a stakeholder-centered view of platform business models operating within local ecosystems, bridging research on collective action and stakeholder management with strategic management of platforms.

scholarly journals Investigating Students’ Eyesights in the Utilization of Platforms in Learning ESP During the Covid-19 Pandemic

SELTICS ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 1-16
Author(s):  
Multazam Abubakar ◽  
Annisa Shofa Tsuraya
Keyword(s):  
The Internet ◽  
Digital Platforms ◽  
Factors Affecting ◽  
Digital Platform ◽  
Online Mode ◽  
Learning Platform ◽  
Learning Platforms ◽  
Face To Face Learning ◽  
The One ◽  
Remote Learning

  The Covid-19 pandemic suddenly attacked the world and led every sector of life affected, including the education process, which is forced to shift into online mode. All educators are forced to adapt and find a learning platform to utilize in this emergency remote learning. This research uncovers the students' preference of digital platforms in learning ESP during the Covid-19 pandemic, the factors accepting their preference, and their perception of those learning platforms. The design of this study is qualitative. The participants of this study were 112 freshmen of a state university in Makassar who learn English for Specific Purposes (ESP), comprising 95 females and 17 males. The participants were consisted of 3 majors and involved in remote learning for one semester (16 meetings) through WhatsApp, Google Classroom, University LMS, YouTube, and Video Conference (Zoom and Google Meet). In order to collect the data, a questionnaire that consists of close-ended and open-ended questions was distributed to the participants. It is found that the students' preference of digital platform in learning ESP during the Covid-19 pandemic is WhatsApp. The factors affecting students' preference of the platform are demographic and economic constraints. The criteria of the application that is highly preferred by the students were the one which does not drain the internet quota, can still work correctly in which the internet connection is not strong, and can facilitate the interaction between lecturers and students. Finally, this study suggests that no one perfect digital platform can replace face-to-face learning since many things are missing during this online learning. So, to keep it running effectively, the combination of several platforms is required to be utilized.  

India Goes Digital..Smartphone is the New Shopping Destination

2018 ◽  
Vol 6 (8) ◽  
pp. 289
Author(s):  
Shankar Chaudhary
Keyword(s):  
Online Shopping ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile Commerce ◽  
Mobile App ◽  
Smart Phones ◽  
The Internet ◽  
The World ◽  
Shopping Experience ◽  
User Friendly

Despite being in nascent stage m-commerce is gaining momentum in India. The explosive growth of smart-phone users has made India much loved business destination for whole world. Indian internet user is becoming the second largest in the world next to China surpassing US, which throws open plenty of e-commerce opportunities, not only for Indian players, offshore players as well. Mobile commerce is likely to overtake e-commerce in the next few years, spurred by the continued uptrend in online shopping and increasing use of mobile apps.The optimism comes from the fact that people accessing the Internet through their mobiles had jumped 33 per cent in 2014 to 173 million and is expected to grow 21 per cent year-on-year till 2019 to touch 457 million. e-Commerce brands are eyeing on the mobile app segment by developing user-friendly and secure mobile apps offering a risk-free and easy shopping experience to its users. Budget 4G smart phones coupled with affordable plans, can very well drive 4G growth in India.

Internet-based Online Higher Education in Nepal Amidst COVID-19

2020 ◽  
Author(s):  
Ashis Acharya ◽  
Nabaraj Poudyal ◽  
Ganesh Lamichhane ◽  
Babita Aryal ◽  
Bibek Raj Bhattarai ◽  
...  
Keyword(s):  
Higher Education ◽  
Human Life ◽  
The Internet ◽  
Online Classes ◽  
Traditional Concept ◽  
Digital Platforms ◽  
Factors Affecting ◽  
Online Higher Education ◽  
Alternative Means ◽  
The Government

The COVID-19 global pandemic has affected all aspects of human life, with education, not an exception. In an attempt to stop the SARS-CoV-2 spreading like wildfire, the Government of Nepal has implemented nationwide lockdowns since March 24, 2020, that have enforced schools and universities to shut down. As a consequence, more than four hundred thousand students of various levels in higher education institutions (HEIs) are in a dilemma about restoring the situation. Several HEIs, nationwide, have leaped forward from the traditional concept of learning—limited within the boundary of the classroom—to choosing digital platforms as an alternative means of teaching because of the pandemic. For this research, the descriptive and inferential analysis was carried out to investigate the effects and challenges of learning via digital platforms during this pandemic. Data were collected from students and faculty at various levels of higher education and analyzed statistically with different factors using t-test and ANOVA, and variables were found to be approximately normally distributed. The study revealed that 70% of the respondents had access to the Internet, but 36% of the Internet accessed did not continue online classes due to unexpected disturbance in Internet and electrical connectivity. Likewise, 65% of students did not feel comfortable with online classes, and among attendees of online classes, 78% of students want to meet the instructor for a better understanding of course matters. According to the analytic hierarchy process (AHP) model, three factors, such as institutional policy, internet access, and poverty, are found to be significant factors affecting the online higher education systems in Nepal. On the brighter side, this outbreak has brought ample opportunities to reform the conventional teaching-learning paradigm in Nepal.

Citizen Deliberation Online

2019 ◽  
pp. 689-712
Author(s):  
Patrícia Rossini ◽  
Jennifer Stromer-Galley
Keyword(s):  
Political Engagement ◽  
Future Research ◽  
The Internet ◽  
Digital Platforms ◽  
The Core ◽  
Political Conversation ◽  
Political Talk ◽  
Citizen Deliberation ◽  
The Impact

Political conversation is at the heart of democratic societies, and it is an important precursor of political engagement. As society has become intertwined with the communication infrastructure of the Internet, we need to understand its uses and the implications of those uses for democracy. This chapter provides an overview of the core topics of scholarly concern around online citizen deliberation, focusing on three key areas of research: the standards of quality of communication and the normative stance on citizen deliberation online; the impact and importance of digital platforms in structuring political talk; and the differences between formal and informal political talk spaces. After providing a critical review of these three major areas of research, we outline directions for future research on online citizen deliberation.

scholarly journals A Collaborative Region Detection and Grading Framework for Forest Fire Smoke Using Weakly Supervised Fine Segmentation and Lightweight Faster-RCNN

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 768
Author(s):  
Jin Pan ◽  
Xiaoming Ou ◽  
Liang Xu
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Learning Strategy ◽  
Early Stage ◽  
Fire Detection ◽  
Surveillance Systems ◽  
Region Detection ◽  
Decision Network ◽  
Fire Smoke ◽  
Weakly Supervised

Forest fires are serious disasters that affect countries all over the world. With the progress of image processing, numerous image-based surveillance systems for fires have been installed in forests. The rapid and accurate detection and grading of fire smoke can provide useful information, which helps humans to quickly control and reduce forest losses. Currently, convolutional neural networks (CNN) have yielded excellent performance in image recognition. Previous studies mostly paid attention to CNN-based image classification for fire detection. However, the research of CNN-based region detection and grading of fire is extremely scarce due to a challenging task which locates and segments fire regions using image-level annotations instead of inaccessible pixel-level labels. This paper presents a novel collaborative region detection and grading framework for fire smoke using a weakly supervised fine segmentation and a lightweight Faster R-CNN. The multi-task framework can simultaneously implement the early-stage alarm, region detection, classification, and grading of fire smoke. To provide an accurate segmentation on image-level, we propose the weakly supervised fine segmentation method, which consists of a segmentation network and a decision network. We aggregate image-level information, instead of expensive pixel-level labels, from all training images into the segmentation network, which simultaneously locates and segments fire smoke regions. To train the segmentation network using only image-level annotations, we propose a two-stage weakly supervised learning strategy, in which a novel weakly supervised loss is proposed to roughly detect the region of fire smoke, and a new region-refining segmentation algorithm is further used to accurately identify this region. The decision network incorporating a residual spatial attention module is utilized to predict the category of forest fire smoke. To reduce the complexity of the Faster R-CNN, we first introduced a knowledge distillation technique to compress the structure of this model. To grade forest fire smoke, we used a 3-input/1-output fuzzy system to evaluate the severity level. We evaluated the proposed approach using a developed fire smoke dataset, which included five different scenes varying by the fire smoke level. The proposed method exhibited competitive performance compared to state-of-the-art methods.

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