2021 ◽  
Vol 12 (1) ◽  
Author(s):  
◽  
Elmar Kotter ◽  
Luis Marti-Bonmati ◽  
Adrian P. Brady ◽  
Nandita M. Desouza

AbstractBlockchain can be thought of as a distributed database allowing tracing of the origin of data, and who has manipulated a given data set in the past. Medical applications of blockchain technology are emerging. Blockchain has many potential applications in medical imaging, typically making use of the tracking of radiological or clinical data. Clinical applications of blockchain technology include the documentation of the contribution of different “authors” including AI algorithms to multipart reports, the documentation of the use of AI algorithms towards the diagnosis, the possibility to enhance the accessibility of relevant information in electronic medical records, and a better control of users over their personal health records. Applications of blockchain in research include a better traceability of image data within clinical trials, a better traceability of the contributions of image and annotation data for the training of AI algorithms, thus enhancing privacy and fairness, and potentially make imaging data for AI available in larger quantities. Blockchain also allows for dynamic consenting and has the potential to empower patients and giving them a better control who has accessed their health data. There are also many potential applications of blockchain technology for administrative purposes, like keeping track of learning achievements or the surveillance of medical devices. This article gives a brief introduction in the basic technology and terminology of blockchain technology and concentrates on the potential applications of blockchain in medical imaging.


2015 ◽  
Vol 12 (2) ◽  
pp. 145-152 ◽  
Author(s):  
Giulio E. Lancioni ◽  
Nirbhay N. Singh ◽  
Mark F. O’Reilly ◽  
Jeff Sigafoos ◽  
Fiora D’Amico ◽  
...  

Author(s):  
Yinong Zhang ◽  
Shanshan Guan ◽  
Cheng Xu ◽  
Hongzhe Liu

In the era of intelligent education, human behavior recognition based on computer vision is an important branch of pattern recognition. Human behavior recognition is a basic technology in the fields of intelligent monitoring and human-computer interaction in education. The dynamic changes of human skeleton provide important information for the recognition of educational behavior. Traditional methods usually use manual information to label or traverse rules only, resulting in limited representation capabilities and poor generalization performance of the model. In this paper, a kind of dynamic skeleton model with residual is adopted—a spatio-temporal graph convolutional network based on residual connections, which not only overcomes the limitations of previous methods, but also can learn the spatio-temporal model from the skeleton data. In the big bone NTU-RGB + D dataset, the network model not only improved the representation ability of human behavior characteristics, but also improved the generalization ability, and achieved better recognition effect than the existing model. In addition, this paper also compares the results of behavior recognition on subsets of different joint points, and finds that spatial structure division have better effects.


1992 ◽  
Vol 03 (03n04) ◽  
pp. 263-277 ◽  
Author(s):  
KENICHI IGA

In this paper we review the progress and basic technology of vertical cavity surface emitting lasers together with related parallel surface operating optical devices. First, the concept of a vertical cavity surface emitting laser is presented, and then currently developed devices and their performances will be introduced. We will then feature some technical issues, such as multilayer structures, 2-dimensional arrays, photonic integration, etc. Lastly, future prospects for parallel lightwave subsystems using surface emitting lasers will be discussed.


1997 ◽  
Vol 109 ◽  
pp. 319 ◽  
Author(s):  
E. F. Borra ◽  
G. Tremblay ◽  
Y. Huot ◽  
J. Gauvin

2017 ◽  
pp. 85-89 ◽  
Author(s):  
V. V. Panikarovskii ◽  
E. V. Panikarovskii

At late stage of development of gas fields they need to solve the specific issues of increasing the production rate of wells and decreasing water cut. The available experience of development of gas and gas condensate fields proves, that the most effective method of removing of water, accumulating in wells, is an injection into the bottom hole zone of foam-forming compositions, based on surfactants. The most technological in the application was the use of solid and liquid surfactants. Installation in wells of lift columns of smaller diameter ensured the removal of liquid from the bottom hole of wells, but after few month of exploitation the conditions of removal of liquid from the bottom hole of wells deteriorate. The technologies of concentric lift systems and plunger-lift systems are used in small number of wells. The basic technology for removal of liquid from bottom hole of gas wells at present time is the technology of treatment of bottom hole of wells with solid surfactants.


Author(s):  
R. Todd Stephens

In this chapter, the author takes a look at how organizations can integrate Social Media technology into their current electronic commerce environment. While electronic commerce technology has been around for many years, social media technology is emerging as the dominating force in commerce itself. Organizations must evolve their online environments in order to progress to the next level of service delivery. Social Media provides the basic technology for creating a network of customers who are passionate about the company’s product offering. The key here is the commitment of the customers throughout the business lifecycle. Social Media includes a variety of technologies and concepts such as social networking, weblogs, wikis, Really Simple Syndication (RSS), social tagging, mashups, information markets, and user defined content. This chapter will review several different examples where organizations have added Social Media to their environment and impact that integration is having to the entire business model.


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