scholarly journals Experience, Data-Driven and Artificial Intelligence in Social (Fire) and Chemical Technology

2019 ◽  
pp. 45-46
Author(s):  
Takashiro Akitsu ◽  
Yuika Onami
Keyword(s):  
Artificial Intelligence ◽  
Fire Technology ◽  
Disaster Response ◽  
Data Driven ◽  
Disaster Prevention ◽  
Emergency Situations ◽  
Prevention Activities ◽  
In Fire ◽  
Post Disaster ◽  
Disaster Prediction

“Realization of society 5.0 in fire and disaster prevention activities” is one of intensive goals of Japanese government developing fire technology [1]. Improvement of new equipment and materials for disaster response utilizing AI and ICT should be developed according to social requirements. Efforts to predict earthquake, pour, flood, etc. through AI analysis of data collected from past disasters must continue. In parallel with such elaboration of disaster prediction, it is necessary to proceed with preparations for prompt and accurate provision of disaster information during emergency situations and support for rebuilding lives post disaster.

scholarly journals Experience, Data-Driven and Artificial Intelligence in Social (Fire) and Chemical Technology

2019 ◽  
pp. 45-46
Author(s):  
Takashiro Akitsu ◽  
Yuika Onami
Keyword(s):  
Artificial Intelligence ◽  
Fire Technology ◽  
Disaster Response ◽  
Data Driven ◽  
Disaster Prevention ◽  
Emergency Situations ◽  
Prevention Activities ◽  
In Fire ◽  
Post Disaster ◽  
Disaster Prediction

“Realization of society 5.0 in fire and disaster prevention activities” is one of intensive goals of Japanese government developing fire technology [1]. Improvement of new equipment and materials for disaster response utilizing AI and ICT should be developed according to social requirements. Efforts to predict earthquake, pour, flood, etc. through AI analysis of data collected from past disasters must continue. In parallel with such elaboration of disaster prediction, it is necessary to proceed with preparations for prompt and accurate provision of disaster information during emergency situations and support for rebuilding lives post disaster.

scholarly journals Case Study of the 2016 Kumamoto Earthquake: The Disaster Response Capability of Kumamoto Compact City, Japan

2020 ◽  
Vol 331 ◽  
pp. 01002
Author(s):  
Hang Liu ◽  
Riken Homma ◽  
Kazuhisa Iki
Keyword(s):  
High Risk ◽  
Disaster Response ◽  
Entropy Method ◽  
City Centre ◽  
Disaster Prevention ◽  
Compact City ◽  
The 2016 Kumamoto Earthquake ◽  
The City ◽  
Post Disaster

Compact cities are widely used in urban planning in Japan due to the following benefits: efficient land use, reduction in the transport network and reliance on mass transport, low emissions, etc. However, Compactness often means high density. In disaster-resistant Japan, whether the compact city form can effectively respond to disasters is needed further discussion. In the Kumamoto City Master Plan, 15 local hubs have been planned to promote the development of the compact city. In this study, 15 local hubs are selected as the research objects. Moreover, the entropy method was chosen to evaluate the disaster prevention capability. The results show that disaster risk is high and the disaster prevention ability is weak in the central urban area, which is likely to cause greater losses when the disaster occurs. The local hubs that are far away from the city centre also have the weak disaster prevention due to the lack of disaster prevention facilities, while some hub areas are more capable of disaster prevention despite the high risk of disasters. Therefore, in the post-disaster reconstruction plan, it is recommended making a focus on the low-risk and disaster resistant areas. At the same time, the cancellation of hubs with high risk and weak disaster prevention needs to be further discussed.

Disaster Prevention Activities of Japanese Fire Companies

2015 ◽  
Vol 10 (5) ◽  
pp. 929-938 ◽  
Author(s):  
Atsushi Sakuma ◽  
◽  
Ichiro Matsuo ◽  
Shin Ito ◽  
Shigeyoshi Tanaka ◽  
...  
Keyword(s):  
Large Scale ◽  
Great East Japan Earthquake ◽  
The Other ◽  
Individual Experience ◽  
Disaster Prevention ◽  
Information Communication ◽  
Safety Measures ◽  
The Core ◽  
Prevention Activities ◽  
In Fire

Many lives were saved due to local disaster prevention activities such as evacuation guidance during the Great East Japan Earthquake. On the other hand, those involved in local disaster prevention activities were negatively affected in many cases. Therefore, local disaster prevention activities and safety-ensuring measures during large-scale disasters are being reviewed. This paper focuses on fire companies that are expected to develop and implement the core of local disaster prevention activities. In order to study the effectiveness of safety measures in areas that are vulnerable to natural disasters, disaster prevention activities focusing on water and wind disasters in particular were studied in Kiho Town in Mie Prefecture following the Great East Japan Earthquake. As a result, information communication measures, equipment, and manuals proved to be effective in areas that are at risk of disasters other than earthquakes. In addition, the importance of sharing manuals in organizations was also shown, because disaster measures in fire companies tend to be performed based on individual experience. Furthermore, the importance of cooperation with other organizations in the region was also demonstrated.

scholarly journals An Integrated Approach for Post-Disaster Flood Management Via the Use of Cutting-Edge Technologies and UAVs: A Review

2021 ◽  
Vol 13 (14) ◽  
pp. 7925
Author(s):  
Hafiz Suliman Munawar ◽  
Ahmed W. A. Hammad ◽  
S. Travis Waller ◽  
Muhammad Jamaluddin Thaheem ◽  
Asheem Shrestha
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Disaster Response ◽  
Integrated Approach ◽  
Flood Management ◽  
Cutting Edge ◽  
Management Domain ◽  
Integrated Approaches ◽  
Disaster Scenario ◽  
Post Disaster

Rapid advances that improve flood management have facilitated the disaster response by providing first aid services, finding safe routes, maintaining communication and developing flood maps. Different technologies such as image processing, satellite imagery, synthetic imagery and integrated approaches have been extensively analysed in the literature for disaster operations. There is a need to review cutting-edge technologies for flood management. This paper presents a review of the latest advancements in the flood management domain based on image processing, artificial intelligence and integrated approaches with a focus on post-disaster. It answers the following research questions: (1) What are the latest developments in image processing for flood management in a post-disaster scenario? (2) What are the latest techniques for flood management based on artificial intelligence in a post-disaster scenario? (3) What are the existing gaps in the selected technologies for post-disaster? (4) How can the authorities improve the existing post-disaster management operation with cutting-edge technologies? A novel framework has been proposed to optimise flood management with the application of a holistic approach.

SEISMIC RISK ASSESSMENT AND REDUCTION IN ITALY

2019 ◽  
Vol 1 (Special Issue on First SACEE'19) ◽  
pp. 55-75
Author(s):  
Fabio Sabetta
Keyword(s):  
Risk Assessment ◽  
Seismic Risk ◽  
Safety Assessment ◽  
Public Funding ◽  
Tax Incentives ◽  
Technical Training ◽  
Disaster Prevention ◽  
Existing Buildings ◽  
Seismic Risk Assessment ◽  
Post Disaster

In this paper, the main features of the policies adopted in Italy for seismic risk reduction are discussed. Particular attention is given to the Pre-disaster prevention activities such as the implementation of the building code, the seismic risk assessment for a priority scale of intervention, tax incentives and public funding for the vulnerability reduction of the existing buildings, information to population and school education, technical training of experts. The phases of response and post-disaster activities, including emergency management, search and rescue, loss scenarios, and safety assessment of buildings, are also discussed taking example from the most recent devastating earthquakes in Italy (L.Aquila 2009, Amatrice 2016).

The Oxford Handbook of Ethics of AI

2020 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Rapid Development ◽  
Data Driven ◽  
International Human Rights Law ◽  
Human Knowledge ◽  
Human Rights Law ◽  
Ai Ethics ◽  
And Behavior ◽  
Control Complex

This book explores the intertwining domains of artificial intelligence (AI) and ethics—two highly divergent fields which at first seem to have nothing to do with one another. AI is a collection of computational methods for studying human knowledge, learning, and behavior, including by building agents able to know, learn, and behave. Ethics is a body of human knowledge—far from completely understood—that helps agents (humans today, but perhaps eventually robots and other AIs) decide how they and others should behave. Despite these differences, however, the rapid development in AI technology today has led to a growing number of ethical issues in a multitude of fields, ranging from disciplines as far-reaching as international human rights law to issues as intimate as personal identity and sexuality. In fact, the number and variety of topics in this volume illustrate the width, diversity of content, and at times exasperating vagueness of the boundaries of “AI Ethics” as a domain of inquiry. Within this discourse, the book points to the capacity of sociotechnical systems that utilize data-driven algorithms to classify, to make decisions, and to control complex systems. Given the wide-reaching and often intimate impact these AI systems have on daily human lives, this volume attempts to address the increasingly complicated relations between humanity and artificial intelligence. It considers not only how humanity must conduct themselves toward AI but also how AI must behave toward humanity.

Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy

2021 ◽  
Author(s):  
Marina Johnson ◽  
Rashmi Jain ◽  
Peggy Brennan-Tonetta ◽  
Ethne Swartz ◽  
Deborah Silver ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Driven

scholarly journals Out of the loop? On the radical and the routine in urban big data

Urban Studies ◽  
2021 ◽  
pp. 004209802110140
Author(s):  
Sarah Barns
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Computational Models ◽  
Data Driven ◽  
Urban Systems ◽  
Out Of The Loop ◽  
Urban Futures ◽  
Urban Behaviour ◽  
The City

This commentary interrogates what it means for routine urban behaviours to now be replicating themselves computationally. The emergence of autonomous or artificial intelligence points to the powerful role of big data in the city, as increasingly powerful computational models are now capable of replicating and reproducing existing spatial patterns and activities. I discuss these emergent urban systems of learned or trained intelligence as being at once radical and routine. Just as the material and behavioural conditions that give rise to urban big data demand attention, so do the generative design principles of data-driven models of urban behaviour, as they are increasingly put to use in the production of replicable, autonomous urban futures.

scholarly journals An Artificial Intelligence of Things-Based Picking Algorithm for Online Shop in the Society 5.0’s Context

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2813
Author(s):  
Muslikhin Muslikhin ◽  
Jenq-Ruey Horng ◽  
Szu-Yueh Yang ◽  
Ming-Shyan Wang ◽  
Baiti-Ahmad Awaluddin
Keyword(s):  
Artificial Intelligence ◽  
System Performance ◽  
Industry 4.0 ◽  
Online Shopping ◽  
Robotic Manipulators ◽  
Data Driven ◽  
Key Points ◽  
Detection And Localization ◽  
Picking System

In this study, an Artificial Intelligence of Things (AIoT)-based automated picking system was proposed for the development of an online shop and the services for automated shipping systems. Speed and convenience are two key points in Industry 4.0 and Society 5.0. In the context of online shopping, speed and convenience can be provided by integrating e-commerce platforms with AIoT systems and robots that are following consumers’ needs. Therefore, this proposed system diverts consumers who are moved by AIoT, while robotic manipulators replace human tasks to pick. To prove this idea, we implemented a modified YOLO (You Only Look Once) algorithm as a detection and localization tool for items purchased by consumers. At the same time, the modified YOLOv2 with data-driven mode was used for the process of taking goods from unstructured shop shelves. Our system performance is proven by experiments to meet the expectations in evaluating efficiency, speed, and convenience of the system in Society 5.0’s context.

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