scholarly journals Can the Visualization of Rip Currents Prevent Drowning Accidents? Consideration of the Effect of Optimism Bias

Author(s):  
Shintaro Endo ◽  
Ryo Shimada ◽  
Toshinori Ishikawa ◽  
Tsutomu Komine

Abstract Almost all drowning accidents in Japan are caused by rip currents. To reduce these accidents, a new technology that can detect rip currents and notify beachgoers by using the Internet of Things (IoT) and Artificial Intelligence (AI) was proposed. However, studies on the effect of visualizing rip currents or considering the effect of optimism bias have not been conducted. This study investigates if visualization of rip currents might help in preventing drowning accidents, while considering the effect of optimism bias. The participants were 90 Japanese beachgoers. They were asked to answer questions based on their knowledge of the beach and rip currents, their optimism bias regarding rip currents, and awareness with or without visualization. The results of the analyses suggest that despite optimism bias, the visualization of rip currents increases the tendency of beachgoers to perceive and avoid rip currents. As described above, it found that by visualizing rip currents, beachgoers can avoid. Additionally, an understanding of rip currents is positively related to the intent to avoid rip currents with visualization. Therefore, it is necessary not only to enhance the avoidance tendency by visualizing rip currents, but also to further enhance knowledge of beachgoers to deepen the understanding of rip currents including the danger associated and methods to avoid them.

Author(s):  
A.S. Travov ◽  

This article provides an overview of the decision to improve the field storage of sugar beet. The purpose of development is to preserve the crop. Methods of monitoring volumes of piles and microclimate inside them are considered. The method for obtaining data on volumes of piles and the further use thereof for optimizing the storage process is described.


2012 ◽  
Vol 6-7 ◽  
pp. 957-963 ◽  
Author(s):  
Shun Bing Zhu ◽  
Chun Quan Du ◽  
Miao Miao Niu

The wisdom community is the basic unit of the smart city, is a set of urban management, public services, social services, residents’ autonomy and mutual aid services in one of the new technology applications. This article analyzes the current situation and existing problems of the wisdom community, then described the Internet of Things architecture, equipment features, community cloud computing platform and structure, the last detailed analysis of the wisdom community features and community network video intercom, home security, appliance control, non-contact card access control, card consumption management, community security, community e-service technology and other technical content and features.


2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.


Author(s):  
Aboobucker Ilmudeen

Today, the terms big data, artificial intelligence, and internet of things (IoT) are many-fold as these are linked with various applications, technologies, eco-systems, and services in the business domain. The recent industrial and technological revolution have become popular ever before, and the cross-border e-commerce activities are emerging very rapidly. As a result, it supports to the growth of economic globalization that has strategic importance for the advancement of e-commerce activities across the globe. In the business industry, the wide range applications of technologies like big data, artificial intelligence, and internet of things in cross-border e-commerce have grown exponential. This chapter systematically reviews the role of big data, artificial intelligence, and IoT in cross-border e-commerce and proposes a conceptually-designed smart-integrated cross-border e-commerce platform.


Author(s):  
Kadir Alpaslan Demir ◽  
Buğra Turan

The introduction of Industry 4.0 has increased the focus on a number of technologies. These technologies also help realize the vision for intelligent cities. Furthermore, there are already discussions of Industry 5.0. One emerging aspect of Industry 5.0 is human-robot co-working. With the help of artificial intelligence, the internet of things paradigm, Industry 4.0, and Industry 5.0 visions, there will be two predominant types of systems interfacing with people in intelligent cities. These are robotic and ambient intelligence systems. The increasing deployment of these will help make cities even smarter. However, we need to see advancements in a number of relevant key technologies, including power and networking technologies. In this chapter, first, the authors briefly discuss Industry 4.0, Industry 5.0, and intelligent cities paradigm, as well as robotic and ambient intelligence systems. Then, they focus on developing trends in power and networking technologies.


2020 ◽  
Vol 2 (1) ◽  
pp. e8-e9 ◽  
Author(s):  
Daniel S W Ting ◽  
Haotian Lin ◽  
Paisan Ruamviboonsuk ◽  
Tien Yin Wong ◽  
Dawn A Sim

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