scholarly journals Nanogenerator-based self-powered sensors for data collection

2021 ◽  
Vol 12 ◽  
pp. 680-693
Author(s):  
Yicheng Shao ◽  
Maoliang Shen ◽  
Yuankai Zhou ◽  
Xin Cui ◽  
Lijie Li ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Implantable Devices ◽  
Environmental Data ◽  
Physiological Data ◽  
The Internet ◽  
Rich Variety ◽  
Material Compatibility ◽  
Self Powered ◽  
The Internet Of Things

Self-powered sensors can provide energy and environmental data for applications regarding the Internet of Things, big data, and artificial intelligence. Nanogenerators provide excellent material compatibility, which also leads to a rich variety of nanogenerator-based self-powered sensors. This article reviews the development of nanogenerator-based self-powered sensors for the collection of human physiological data and external environmental data. Nanogenerator-based self-powered sensors can be designed to detect physiological data as wearable and implantable devices. Nanogenerator-based self-powered sensors are a solution for collecting data and expanding data dimensions in a future intelligent society. The future key challenges and potential solutions regarding nanogenerator-based self-powered sensors are discussed.

Big Data, Artificial Intelligence, and the Internet of Things in Cross-Border E-Commerce

2021 ◽  
pp. 257-272
Author(s):  
Aboobucker Ilmudeen
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Economic Globalization ◽  
The Internet ◽  
Technological Revolution ◽  
Cross Border ◽  
Wide Range ◽  
The Internet Of Things

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.

scholarly journals Law in Context for the Digital Age

2019 ◽  
Vol 36 (1) ◽  
pp. 3-11
Author(s):  
Pompeu Casanovas ◽  
Jianfu Chen ◽  
David Wishart
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Digital Age ◽  
The Internet ◽  
Historical Account ◽  
Web Of Data ◽  
The Law ◽  
The Internet Of Things ◽  
The Web

We introduce both the new inception of Law in Context - A Socio-legal Journal and the continuing issue of LiC 36 (1). The editorial provides a brief historical account of the Journal since its inception in the early 1980s, in the context of the evolution of the Law & Society movement. It also describes the changes produced in the digital age by the emergence of the Web of Data, Big Data, and the Internet of Things. The convergence between Law & Society and Artificial Intelligence & Law is also discussed. Finally, we introduce briefly the articles included in this issue.          

scholarly journals Explore and Practice of China's Intelligent “New Engineering” — Based on the Grounded Theory

2020 ◽  
Vol 10 (8) ◽  
pp. 632-640
Author(s):  
Jingyi Qin ◽  
◽  
Hua Li ◽  
Xiu Chen ◽  
Wen Feng
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Grounded Theory ◽  
Internet Of Things ◽  
Theory And Practice ◽  
The Internet ◽  
Research And Practice ◽  
Engineering Research ◽  
Cooperation System ◽  
The Internet Of Things

In the era of the Industrial Revolution 4.0, emerging intelligent information technologies represented by the Internet of Things, big data, artificial intelligence, etc. are triggering a new round of educational reforms, driving human education to transition to intelligent education. This article adopts the 612 national-level new engineering research and practice projects released by China in 2018 that involve the integration of new engineering and wisdom education in universities and colleges that also implement the integration of the two in addition to the New Engineering Research and Practice Project，A total of 80 colleges and universities practice samples as research objects，With the help of the grounded theory system, a fusion model consisting of 755 original sentences, 77 concepts, 25categories, 7main categories, and 3 core categories-the TCG model. Its integration path is: Block chain: more open and more credible new ideas; Internet + education: the construction of a curriculum system that combines theory and practice with individuality and multiple coexistence; emotional skills perception + cloud computing: intelligent new teachers Strength training; AI + VR: construction of an open and immersive second learning world; big data + the Internet of Things: the establishment of a precise and intelligent management system; big data + artificial intelligence: the construction of a new mechanism of evaluation and incentives; the Internet of Things + none Seamless Interconnection: Comprehensive Perception of Government-Industry-Research Cooperation System.

scholarly journals Corporate governance for trillion dollar opportunities

2017 ◽  
Vol 13 (3) ◽  
pp. 19-27 ◽  
Author(s):  
Hugh Grove ◽  
Maclyn Clouse
Keyword(s):  
Artificial Intelligence ◽  
Corporate Governance ◽  
Big Data ◽  
Boards Of Directors ◽  
Industry 4.0 ◽  
The Internet ◽  
Technological Changes ◽  
Corporate Executives ◽  
Challenges And Opportunities ◽  
The Internet Of Things

Boards of Directors will have to play a key role in the technological survival and development of companies by asking corporate executives about their plans and strategies for these emerging technological changes and challenges. Key challenges and opportunities discussed in this paper, with corresponding corporate governance implications, included Big Data, Artificial Intelligence (AI) with Industry 4.0, AI with the Internet of Things (IoT), Deep Learning, and Neural Networks. Survival should not be the goal, but it may be the necessary first step for today’s companies. Potential winners seizing these trillion dollar opportunities will be company executives and Boards of Directors who can incorporate these technological changes into specific new business models, strategies, and practices. While the awareness on boards regarding risks originating from disruptive innovation, cyber threats and privacy risks has been increasing, Boards of Directors must equally be able to challenge executives and identify opportunities and threats for their companies. This shift for companies is not only about digital technology but also cultural. How can people be managed when digital, virtual ways of working are increasing? What do robotics and Big Data analysis mean for managing people? One way to accelerate the digital learning process has been advocated: the use of digital apprentices for boards. For example, Board Apprentice, a non-profit organization, has already placed digital apprentices on boards for a year-long period (which helps to educate both apprentices and boards) in five different countries. Additional plans and strategies are needed in this age of digitalization and lifelong learning. For example, cybersecurity risks are magnified by all these new technology trends, such as Big Data, AI, Industry 4.0, and IoT. Accordingly, the main findings of this paper are analysing the challenges and opportunities for corporate executives, Boards of Directors, and related corporate governance concerning the driving force of Big Data, Artificial Intelligence with Industry 4.0, Artificial Intelligence with the Internet of Things, Deep Learning, and Neural Networks.

scholarly journals Wearable Nanogenerators: Working Principle and Self-Powered Biosensors Applications

Electrochem ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 118-134
Author(s):  
Helinando Pequeno de Oliveira
Keyword(s):  
Active Component ◽  
Low Cost ◽  
Body Movement ◽  
Implantable Devices ◽  
The Internet ◽  
Harvesting Systems ◽  
Working Principle ◽  
Multiple Analytes ◽  
Self Powered ◽  
The Internet Of Things

Wearable self-powered sensors represent a theme of interest in the literature due to the progress in the Internet of Things and implantable devices. The integration of different materials to harvest energy from body movement or the environment to power up sensors or act as an active component of the detection of analytes is a frontier to be explored. This review describes the most relevant studies of the integration of nanogenerators in wearables based on the interaction of piezoelectric and triboelectric devices into more efficient and low-cost harvesting systems to power up batteries or to use the generated power to identify multiple analytes in self-powered sensors and biosensors.

scholarly journals RESEARCH ON BIG DATA ANALYSIS OF LOCATION SERVICE AND INTELLIGENT SERVICE PLATFORM OF URBAN SCENIC SPOTS: A CASE STUDY OF GUILIN CITY, GUANGXI, CHINA

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 1135-1138
Author(s):  
B. S. Li ◽  
M. Z. Liao ◽  
L. L. Huang
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Processing ◽  
Big Data Analysis ◽  
The Internet ◽  
Location Service ◽  
Service Module ◽  
Scenic Spot ◽  
Service Data ◽  
The Internet Of Things

Abstract. In many famous tourist cities, there is a lack of big data analysis and perception of tourist behavior, which reflected in the existence of a large number of basic data in the scenic area. Through the traditional and/or non-special sensors of the Internet of Things, a large amount of special -temporal change data is collected, including video monitors data, RFID, WIFI, temperature and humidity, water depth sensors and other big data of the Internet of Things(IoT)that can perceive the location and environmental resource information of tourists. In addition, the thermodynamic data of the distribution location of tourists' mobile phones, although these data include the behavior data of tourist groups and individuals in the scenic spot, which can be most shown by supplying, lack of in-depth analysis and intelligent service application.As we all know, Guilin, Guangxi is a famous tourist attraction in the word. In this tourism city, the big data processing methods of location service include establishing a data processing framework, information extraction, fusion and batch processing technology. As a result of the location data of tourists in the scenic spot are constantly created over time, the location service data will be processed by stream mode. At the same time, dimension reduction analysis of big data is an important link in processing as it has a large volume but a low-value density. The analysis methods of location service include kernel density analysis, GIS spatial and temporal analysis, artificial intelligence deep learning, two-dimensional mapping, visualization processing results, and extraction of hot spots or scenic spots, etc. Spatial and temporal index technology is used to manage the big data of scenic spot location service and to improve the efficiency of data query and access. At the same time, a reasonable predictive analysis of data processing results is an important research method.The main system structure of an intelligent service platform includes platform, data processing sing, and analysis end, mobile management end. The platform includes a general user service module, location service module, a communication module, etc, which is responsible for providing reasonable service to customers. The data processing and analysis end include a data receiving module and a data processing and analysis module. Responsible for receiving and processing the location service data returned by the client. The mobile management end includes the scenic spot management module. Responsible for providing the manager with the distribution of tourists in the scenic area, the location information of the staff, the location of the emergency situation and other contents, and providing great help for the manager to maintain the order of the scenic area, reasonably dispatch personnel, and launch rescue in time. Development and design to show users good models and development concepts and typical artificial intelligence products, to improve the scenic spot tourist's playing efficiency and humanized experience and reduce the management cost.

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