Uberveillance, Standards, and Anticipation

Author(s):  
Kyle Powys Whyte ◽  
Monica List ◽  
John V. Stone ◽  
Daniel Grooms ◽  
Stephen Gasteyer ◽  
...  

Uberveillance of humans will emerge through embedding chips within nonhumans in order to monitor humans. The case explored in this chapter involves the development of nanotechnology and biosensors for the real-time tracking of the identity, location, and properties of livestock in the U.S. agrifood system. The primary method for research on this case was an expert forum. Developers of biosensors see the tracking capabilities as empowering users to control some aspects of a situation that they face. Such control promises to improve public health, animal welfare, and/or economic gains. However, the ways in which social and ethical frameworks are built into standards for the privacy/access, organization, adaptability, and transferability of data are crucial in determining whether the diverse actors in the supply chain will embrace nanobiosensors and advance the ideals of the developers. Further research should be done that explores the possibilities of tripartite standards regimes and sousveillance in relation to nanobiosensors in agrifood.

2018 ◽  
pp. 577-596
Author(s):  
Kyle Powys Whyte ◽  
Monica List ◽  
John V. Stone ◽  
Daniel Grooms ◽  
Stephen Gasteyer ◽  
...  

Uberveillance of humans will emerge through embedding chips within nonhumans in order to monitor humans. The case explored in this chapter involves the development of nanotechnology and biosensors for the real-time tracking of the identity, location, and properties of livestock in the U.S. agrifood system. The primary method for research on this case was an expert forum. Developers of biosensors see the tracking capabilities as empowering users to control some aspects of a situation that they face. Such control promises to improve public health, animal welfare, and/or economic gains. However, the ways in which social and ethical frameworks are built into standards for the privacy/access, organization, adaptability, and transferability of data are crucial in determining whether the diverse actors in the supply chain will embrace nanobiosensors and advance the ideals of the developers. Further research should be done that explores the possibilities of tripartite standards regimes and sousveillance in relation to nanobiosensors in agrifood.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sandeep Kumar Singh ◽  
Mamata Jenamani

Purpose The purpose of this paper is to design a supply chain database schema for Cassandra to store real-time data generated by Radio Frequency IDentification technology in a traceability system. Design/methodology/approach The real-time data generated in such traceability systems are of high frequency and volume, making it difficult to handle by traditional relational database technologies. To overcome this difficulty, a NoSQL database repository based on Casandra is proposed. The efficacy of the proposed schema is compared with two such databases, document-based MongoDB and column family-based Cassandra, which are suitable for storing traceability data. Findings The proposed Cassandra-based data repository outperforms the traditional Structured Query Language-based and MongoDB system from the literature in terms of concurrent reading, and works at par with respect to writing and updating of tracing queries. Originality/value The proposed schema is able to store the real-time data generated in a supply chain with low latency. To test the performance of the Cassandra-based data repository, a test-bed is designed in the lab and supply chain operations of Indian Public Distribution System are simulated to generate data.


2019 ◽  
Vol 68 ◽  
pp. 46-47
Author(s):  
D. Cirella ◽  
J. Prunaretty ◽  
P. Debuire ◽  
N. Aillères ◽  
A. Morel ◽  
...  

2020 ◽  
Vol 134 ◽  
pp. 107526 ◽  
Author(s):  
Rebeca Jiménez-Pérez ◽  
Lorena Almagro ◽  
María Isabel González-Sánchez ◽  
María Ángeles Pedreño ◽  
Edelmira Valero

2017 ◽  
Vol 117 (9) ◽  
pp. 1890-1905 ◽  
Author(s):  
Yingfeng Zhang ◽  
Lin Zhao ◽  
Cheng Qian

Purpose The huge demand for fresh goods has stimulated lots of research on the perishable food supply chain. The characteristics of perishable food and the cross-regional transportation have brought many challenges to the operation models of perishable food supply chain. The purpose of this paper is to address these challenges based on the real-time data acquired by the Internet of Things (IoT) devices. Design/methodology/approach IoT and the modeling of the Supply Hub in Industrial Parks were adopted in the perishable food supply chain. Findings A conceptual model was established for the IoT-enabled perishable food supply chain with two-echelon supply hubs. The performance of supply chain has improved when implementing the proposed model, as is demonstrated by a case study. Originality/value By our model, the supply hubs which act as the dominators of the supply chain can respond to the real-time information captured from the operation processes of an IoT-enabled supply chain, thus to provide public warehousing and logistic services.


2021 ◽  
Author(s):  
Joshua A Salomon ◽  
Alex Reinhart ◽  
Alyssa Bilinski ◽  
Eu Jing Chua ◽  
Wichida La Motte-Kerr ◽  
...  

The U.S. COVID-19 Trends and Impact Survey (CTIS) is a large, cross-sectional, Internet-based survey that has operated continuously since April 6, 2020. By inviting a random sample of Facebook active users each day, CTIS collects information about COVID-19 symptoms, risks, mitigating behaviors, mental health, testing, vaccination, and other key priorities. The large scale of the survey -- over 20 million responses in its first year of operation -- allows tracking of trends over short timescales and allows comparisons at fine demographic and geographic detail. The survey has been repeatedly revised to respond to emerging public health priorities. In this paper, we describe the survey methods and content and give examples of CTIS results that illuminate key patterns and trends and help answer high-priority policy questions relevant to the COVID-19 epidemic and response. These results demonstrate how large online surveys can provide continuous, real-time indicators of important outcomes that are not subject to public health reporting delays and backlogs. The CTIS offers high value as a supplement to official reporting data by supplying essential information about behaviors, attitudes toward policy and preventive measures, economic impacts, and other topics not reported in public health surveillance systems.


Author(s):  
X. Zhou ◽  
D. Li ◽  
G. Li

In recent years, great disasters happen now and then. Disaster management test the emergency operation ability of the government and society all over the world. Immediately after the occurrence of a great disaster (e.g., earthquake), a massive nationwide rescue and relief operation need to be kicked off instantly. In order to improve the organizations efficiency of the emergency rescue, the organizers need to take charge of the information of the rescuer teams, including the real time location, the equipment with the team, the technical skills of the rescuers, and so on. One of the key factors for the success of emergency operations is the real time location of the rescuers dynamically. Real time tracking methods are used to track the professional rescuer teams now. But volunteers’ participation play more and more important roles in great disasters. However, real time tracking of the volunteers will cause many problems, e.g., privacy leakage, expensive data consumption, etc. These problems may reduce the enthusiasm of volunteers’ participation for catastrophe rescue. In fact, the great disaster is just small probability event, it is not necessary to track the volunteers (even rescuer teams) every time every day. In order to solve this problem, a ground moving target emergency tracking method for catastrophe rescue is presented in this paper. In this method, the handheld devices using GPS technology to provide the location of the users, e.g., smart phone, is used as the positioning equipment; an emergency tracking information database including the ID of the ground moving target (including the rescuer teams and volunteers), the communication number of the handheld devices with the moving target, and the usually living region, etc., is built in advance by registration; when catastrophe happens, the ground moving targets that living close to the disaster area will be filtered by the usually living region; then the activation short message will be sent to the selected ground moving target through the communication number of the handheld devices. The handheld devices receive and identify the activation short message, and send the current location information to the server. Therefore, the emergency tracking mode is triggered. The real time location of the filtered target can be shown on the organizer’s screen, and the organizer can assign the rescue tasks to the rescuer teams and volunteers based on their real time location. The ground moving target emergency tracking prototype system is implemented using Oracle 11g, Visual Studio 2010 C#, Android, SMS Modem, and Google Maps API.


Sign in / Sign up

Export Citation Format

Share Document