scholarly journals A Deep Learning Based Object Identification System for Forest Fire Detection

Fire ◽  
2021 ◽  
Vol 4 (4) ◽  
pp. 75
Author(s):  
Federico Guede-Fernández ◽  
Leonardo Martins ◽  
Rui Valente de Almeida ◽  
Hugo Gamboa ◽  
Pedro Vieira
Keyword(s):  
Deep Learning ◽  
Forest Fires ◽  
Fire Detection ◽  
Object Identification ◽  
Identification System ◽  
The Public ◽  
The Social ◽  
Independent Test ◽  
Social Environmental

Forest fires are still a large concern in several countries due to the social, environmental and economic damages caused. This paper aims to show the design and validation of a proposed system for the classification of smoke columns with object detection and a deep learning-based approach. This approach is able to detect smoke columns visible below or above the horizon. During the dataset labelling, the smoke object was divided into three different classes, depending on its distance to the horizon, a cloud object was also added, along with images without annotations. A comparison between the use of RetinaNet and Faster R-CNN was also performed. Using an independent test set, an F1-score around 80%, a G-mean around 80% and a detection rate around 90% were achieved by the two best models: both were trained with the dataset labelled with three different smoke classes and with augmentation; Faster R-CNNN was the model architecture, re-trained during the same iterations but following different learning rate schedules. Finally, these models were tested in 24 smoke sequences of the public HPWREN dataset, with 6.3 min as the average time elapsed from the start of the fire compared to the first detection of a smoke column.

scholarly journals Internet of Trees

2021 ◽  
Vol 10 (2) ◽  
pp. 750-753
Keyword(s):  
Forest Fires ◽  
Low Cost ◽  
Web Server ◽  
Fire Risk ◽  
Fire Detection ◽  
Natural Habitats ◽  
The Public ◽  
Recorded Data ◽  
The Impact ◽  
The Internet Of Things

The frequency of the forest fires that have occurred in the different parts of the world, In recent decades significant population problems and causing the death if the wild animals as the impact of these fires extend beyond the destruction of the natural habitats. The proliferation of the Internet of Things industry, resolutions for initial fire detection should be developed. The valuation of the fire risk of an area and communication of this realities to the population could reduce the amount of fires originated by accident or due to carelessness of the public user. This paper proposes a low-cost network based on NXP Rapid IOT kit and Long Range (Lora) technology to autonomously estimate the level of fire risk in the forest. The system comprises of NXP Rapid IOT kit which humidity, air quality and detection of the tree fall. The data from each node stored and processed in a in a web server or the mobile application that sendsthe recorded data to a web server for graphical conception of collected data.

Animal Spirits or Engaging Spirits?

2017 ◽  
pp. 223-250 ◽  
Author(s):  
Angela Besana
Keyword(s):  
Cluster Analysis ◽  
Welfare State ◽  
Social Economy ◽  
Public Welfare ◽  
Accounting Data ◽  
The Public ◽  
For Profit ◽  
Not For Profit ◽  
The Social

After having discussed the contemporary importance of the not-for-profit and social economy, the chapter builds on a cluster analysis of performances and roles of grant-making foundations, who are the essential node of the cooperation and coopetitiveness, today. This chapter aims to present worldwide grant-making foundations for their performances and profiling according to the latest accounting data and mission reports, which collect results of their projects according to the classification of pure grant-making, networking, leadership, partnership and pooling. With this in mind, the chapter adopts a typical approach of cluster analysis of industrial organization. The cluster analysis emphasizes the profiling of the sample and it allows to separate groups with significant features. The main focus remains on the issues of the finance of the social economy, when the Public Welfare State is too much indebted. Complementary and substitute roles of the Private Welfare State can emerge for the support the not-for-profit economy.

scholarly journals Foresters and the Challenge of Integrated Resource Management

1970 ◽  
Vol 46 (3) ◽  
pp. 196-199 ◽  
Author(s):  
W. W. Jeffrey ◽  
C. S. Brown ◽  
M. Jurdant ◽  
N. S. Novakowski ◽  
R. H. Spilsbury
Keyword(s):  
Resource Management ◽  
Land Resources ◽  
Resources Management ◽  
Integrated Resource Management ◽  
The Public ◽  
The Social ◽  
Social Environmental ◽  
Wildland Management ◽  
Political Economic

Increasing public pressure on Canada's land resources to produce a greater variety of social values indicates an urgent need for integrated resources management. This, in turn, requires a reorientation in the traditional "single resource" thinking of foresters and others. However, it is believed that the current major impediments to developing integrated resource management are to be found in the attitudes and opinions which prevail in the administrative centres of government in respect to social, political, economic, legal, and other matters. Integrated resource management is fundamentally a social concept and a prerequisite to long-term progress in this area is a better knowledge and awareness of the social-environmental needs of society on the part of all resource personnel. Foresters are closely identified in the public mind with responsibilities in wildland management and should be actively concerned with integrated resource management.

scholarly journals Automatic Staff Reconstruction within SIMSSA Project

2020 ◽  
Vol 10 (7) ◽  
pp. 2468
Author(s):  
Lorenzo J. Tardón ◽  
Isabel Barbancho ◽  
Ana M. Barbancho ◽  
Ichiro Fujinaga
Keyword(s):  
Object Identification ◽  
Research Topic ◽  
Identification System ◽  
The Public ◽  
Post Process ◽  
Correct Analysis ◽  
Musical Object ◽  
Musical Scores ◽  
Ancient Music ◽  
Music Databases

The automatic analysis of scores has been a research topic of interest for the last few decades and still is since music databases that include musical scores are currently being created to make musical content available to the public, including scores of ancient music. For the correct analysis of music elements and their interpretation, the identification of staff lines is of key importance. In this paper, a scheme to post-process the output of a previous musical object identification system is described. This system allows the reconstruction by means of detection, tracking and interpolation of the staff lines of ancient scores from the digital Salzinnes Database. The scheme developed shows a remarkable performance on the specific task it was created for.

scholarly journals Building collaborative platforms for urban innovation: Newcastle City Futures as a quadruple helix intermediary

2020 ◽  
Vol 27 (4) ◽  
pp. 325-341 ◽  
Author(s):  
Paul Vallance ◽  
Mark Tewdwr-Jones ◽  
Louise Kempton
Keyword(s):  
Innovation System ◽  
Private University ◽  
Quadruple Helix ◽  
Test Bed ◽  
Collaborative Relationships ◽  
The Public ◽  
Conceptual Argument ◽  
The Social ◽  
Social Environmental ◽  
Newcastle Upon Tyne

There is a growing academic and policy interest in the notion of using cities as ‘living laboratories’ to develop and test responses to the social, environmental and economic challenges present in contemporary urbanism. These living laboratories are often assumed to function through ‘quadruple helix’ relations between varied actors from the public, private, university and community sectors. However, empirical research that explores the real-world functioning of these arrangements is comparatively limited. This paper will help address this gap through the case of Newcastle City Futures (NCF) – a university-anchored platform for collaborative urban foresight research, public engagement and innovation. In particular, the paper will concentrate on a two-year period when NCF focused on the facilitation of innovation demonstrator projects guided by the vision of Newcastle upon Tyne developing a postindustrial future as a ‘test-bed city’. Detailed empirical accounts of the development of two demonstrator projects are used to illustrate and analyse processes of cross-sectoral collaboration and engaging the public in co-design. These are used to support the conceptual argument that the presence of the quadruple helix as a form of local innovation system should not be taken as given. Instead, the collaborative relationships required for transformational interventions in the future of cities need to be actively constructed by diverse actors and supported by intermediary vehicles such as NCF.

scholarly journals Popularization of Materials about Life and Creative Work of A.I. Solzhenitsyn in the Ryazan Regional Library

2018 ◽  
Vol 67 (6) ◽  
pp. 701-706
Author(s):  
Svetlana A. Antonenko
Keyword(s):  
Public Libraries ◽  
Cultural Development ◽  
Bibliographic Databases ◽  
Creative Work ◽  
Social Functions ◽  
The Public ◽  
Documentary Sources ◽  
The Social

Public libraries, realizing their social functions, contribute to the social and cultural development of the region. One of their main functions is education, dissemination of knowledge that forms the culture of person and worldview attitudes. The article reveals the long-term activity of the Ryazan regional universal scientific library named after Gorky on the information resources representing the pages of life and work of Alexander Solzhenitsyn, the Nobel Prize laureate in literature, Honorary citizen of Ryazan, the world famous writer and publicist, educator, public and political person. The author reveals the significance of creative work of A.I. Solzhenitsyn in the public life of Ryazan and the region; analyses the experience of library work with the documents from the library holdings. As example, the author presents educational projects implemented in the partnership with organizations and institutions of the city: the Scientific and educational centre for the study of heritage of A.I. Solzhenitsyn, the Ryazan Solzhenitsyn society, as well as with writers and local historians. The article considers classification of types of resources on A.I. Solzhenitsyn, including personal documentary sources of the writer’s life, the documents of book collections of libraries, bibliographic databases, catalogues and card files, electronic resources created by librarians; provides examples of the above resource groups, including electronic ones collected through partner organizations and posted on the website of the Ryazan regional universal scientific library named after Gorky.

scholarly journals A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fahdi Kanavati ◽  
Gouji Toyokawa ◽  
Seiya Momosaki ◽  
Hiroaki Takeoka ◽  
Masaki Okamoto ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Deep Learning ◽  
Area Under The Curve ◽  
Learning Model ◽  
Primary Sources ◽  
Independent Test ◽  
Hematoxylin And Eosin ◽  
Deep Learning Model ◽  
Whole Slide Images

AbstractThe differentiation between major histological types of lung cancer, such as adenocarcinoma (ADC), squamous cell carcinoma (SCC), and small-cell lung cancer (SCLC) is of crucial importance for determining optimum cancer treatment. Hematoxylin and Eosin (H&E)-stained slides of small transbronchial lung biopsy (TBLB) are one of the primary sources for making a diagnosis; however, a subset of cases present a challenge for pathologists to diagnose from H&E-stained slides alone, and these either require further immunohistochemistry or are deferred to surgical resection for definitive diagnosis. We trained a deep learning model to classify H&E-stained Whole Slide Images of TBLB specimens into ADC, SCC, SCLC, and non-neoplastic using a training set of 579 WSIs. The trained model was capable of classifying an independent test set of 83 challenging indeterminate cases with a receiver operator curve area under the curve (AUC) of 0.99. We further evaluated the model on four independent test sets—one TBLB and three surgical, with combined total of 2407 WSIs—demonstrating highly promising results with AUCs ranging from 0.94 to 0.99.

scholarly journals Women and Livelihood Resilience of Household: Analysis of Oil Palm Expansion Impact in Jambi

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Fatimah Azzahra ◽  
Arya Hadi Dharmawan ◽  
Nurmala K. Pandjaitan
Keyword(s):  
Forest Fires ◽  
Oil Palm ◽  
Social Impact ◽  
Structural Changes ◽  
Economic Benefits ◽  
The Public ◽  
The Social ◽  
Livelihood Resilience ◽  
Household Analysis ◽  
Depth Interviews

<p>ABSTRACT<br />Indonesia is the greatest producer of oil palm in the world. Despite providing economic benefits, oil palm plantations cause significant environmental and social impacts. Environmental impacts such as deforestation, loss of biodiversity, forest fires and drought. The social impact of oil palm expansion changes women works in livelihood resilience. The purpose of this study are to analyze the influence of oil palm plantations to the livelihood structure and working changes in women and men at smallholder household in Jambi. The method used is mix method using questionnaire and in-depth interviews. The results are the expansion of oil palm plantations cause structural changes such as the shift subsistence living from rubber plantations into oil palm plantation and on lower household changes women from domestic work into the public work as oil palm labours. This is done to increase income of the household in order to remain economically resilient when a crisis situation. However, the environment is very vulnerable, causing drought and exacerbated by forest fires<br />Keywords: oil palm, livelihood, women, resilience, household</p><p>ABSTRAK<br />Indonesia merupakan negara produsen minyak kelapa sawit terbesar di dunia. Meskipun memberikan manfaat ekonomi, perkebunan kelapa sawit menimbulkan dampak lingkungan dan sosial yang signifikan. Dampak lingkungan seperti deforestasi, hilangnya keanekaragaman hayati, hingga bencana kebakaran hutan dan kekeringan. Dampak sosial perkebunan kelapa sawit yaitu mengubah pekerjaan perempuan dalam resiliensi nafkah. Tujuan dari penelitian ini yaitu menganalisis sejauh mana ekspansi perkebunan kelapa sawit mempengaruhi struktur nafkah dan kerja nafkah laki-laki dan perempuan pada rumahtangga petani di Provinsi Jambi. Metode yang digunakan yaitu metode campuran dengan menggunakan kuesioner dan wawancara mendalam. Hasil penelitian ini yaitu ekspansi perkebunan kelapa sawit menyebabkan perubahan struktur nafkah berupa pergeseran sumber nafkah dari perkebunan karet menjadi perkebunan kelapa sawit. Selain itu, pada rumahtangga lapisan bawah terjadi perubahan kerja perempuan dari domestic menjadi ke ranah publik yaitu sebagai buruh kelapa sawit. Hal tersebut dilakukan untuk menambah penerimaan rumahtangga agar tetap resilien secara ekonomi ketika terjadi krisis. Namun, lingkungan menjadi sangat rentan sehingga menimbulkan kekeringan dan diperparah dengan kebakaran hutan.<br />Kata kunci: kelapa sawit, nafkah, perempuan, resiliensi, rumahtangga</p>

Animal Spirits or Engaging Spirits?

2019 ◽  
pp. 1527-1548
Author(s):  
Angela Besana
Keyword(s):  
Cluster Analysis ◽  
Welfare State ◽  
Social Economy ◽  
Public Welfare ◽  
Accounting Data ◽  
The Public ◽  
For Profit ◽  
Not For Profit ◽  
The Social

After having discussed the contemporary importance of the not-for-profit and social economy, the chapter builds on a cluster analysis of performances and roles of grant-making foundations, who are the essential node of the cooperation and coopetitiveness, today. This chapter aims to present worldwide grant-making foundations for their performances and profiling according to the latest accounting data and mission reports, which collect results of their projects according to the classification of pure grant-making, networking, leadership, partnership and pooling. With this in mind, the chapter adopts a typical approach of cluster analysis of industrial organization. The cluster analysis emphasizes the profiling of the sample and it allows to separate groups with significant features. The main focus remains on the issues of the finance of the social economy, when the Public Welfare State is too much indebted. Complementary and substitute roles of the Private Welfare State can emerge for the support the not-for-profit economy.

scholarly journals The Influencing Factors of The Social Environment of Public Psychological Crisis In COVID-19

2021 ◽  
Author(s):  
Yaner Tang ◽  
Weiken Kong ◽  
Zhijian Pang ◽  
Shuwen Guan
Keyword(s):  
Social Support ◽  
Practical Significance ◽  
Negative Effects ◽  
Informal Social Support ◽  
Factors Affecting ◽  
The Public ◽  
The Social ◽  
Social Environmental ◽  
Social Environmental Factors ◽  
The Impact

Abstract The COVID-19 epidemic spreads around the world early in 2020. As a public emergency, the COVID-19 epidemic has caused a public psychological crisis such as panic, anxiety and worry. Government trust and social support are considered social environmental factors affecting the public psychological crisis, but there is a lack of strong empirical evidence. Thus, it has important theoretical and practical significance to study the impact of government trust and social support on the public psychological crisis. Through regression analysis of the questionnaire during the pandemic, we found that government trust helps reduce public psychological crises, but informal social support increases public psychological crises. Therefore, strengthening government trust and preventing the negative effects of informal social support are effective ways to alleviate public psychological crises.

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