scholarly journals Infrastructural surveillance

2019 ◽  
Vol 22 (8) ◽  
pp. 1414-1436 ◽  
Author(s):  
Alex Gekker ◽  
Sam Hind

This article proposes a new model of privacy: infrastructural surveillance. It departs from Agre’s classic distinction between surveillance and capture by examining the sociotechnical claims of connected and autonomous vehicles (CAVs) as requiring totalising surveillance of passengers and environment in order to operate. By doing so, it contributes to the ongoing debate on the commodification and platformisation of life, paying attention to the under-explored infrastructural requirements of certain digital technologies, rather than its business model. The article addresses four distinct characteristics of infrastructural surveillance: the aggregation of data, initialisation of protocols limiting possible actions, the prioritisation of distributed modes of governance and the enclosure of the driver in a personalised bubble of sovereign power. Ultimately, unlike previous modes of computer privacy in which activities are being constructed in real time from a set of institutionally standardised parts specified by a captured ontology, we observe the creation of new ontologies.

2017 ◽  
Vol 46 (2) ◽  
pp. 57-60 ◽  
Author(s):  
Bernard F. Reilly

Abstract:In the past, in an analog world, libraries—to meet their informational responsibilities—preserved newspapers in analog form and on microfilm. With the emergence of digital technologies, preservation has evolved, and so has the creation of news. These evolutions have challenged libraries to meet their old (and ongoing) responsibilities, and they have faced this challenge by continuing to think of news in the old way: as a commodity to be captured and stored as they have always done it, by themselves, in traditional ways. Today news is not as static as it once was: a version produced for a morning audience; another, modified, for an afternoon or evening audience; each discrete and preservable by itself. News is fluid: it is created and grows as it emerges; and the news media let the information evolve as it evolves in real time. Capturing and preserving this new kind of resource forces libraries and other news-preservation agencies to rethink the old models of operation. Preservation of the news should be done with a new model of cooperation, as the present essay explains.


Author(s):  
M.P. Korol ◽  
◽  
Z Moldagali

The article examines the process of creating a model of distance education in the Republic of Kazakhstan, due to the search for answers to the global challenges of the XXI century. In many ways, the transition to a distance education formatwas accelerated by the COVID-19 pandemic, as a result of which a state of emergency was declaredon the territory of the republic. The new model of education required the creation of digital content, the development of the didactic foundations of digital technologies. However, for Kazakh teachers, along with universal approaches to distance learning, the main thing remains to preserve the values of ethnopedagogy.


2020 ◽  
Vol 174 ◽  
pp. 03007
Author(s):  
Viktoriia Frolova ◽  
Olga Borisova ◽  
Nadezhda Filimonova

The article reflects some aspects of the authors’ research on issues related to the growth of mining companies. The authors analyzed the main approaches to assessing growth, revealed correlation dependencies between them, as well as factors of the industry and macroeconomic level. The study allows concluding that not all proposed models show the same dynamic trends, as a result, the authors proposed a reasonable choice of one of the models. The authors found that the important factors the development of which is necessary for the growth of companies and the mining industry as a whole are the restructuring of the business model, the transition to more active use of digital technologies and overcoming the effects of the pandemic. In addition, it is important for companies to maintain demand for their products, the achievement of which feasible through access to e- commerce sites and real-time trading.


2020 ◽  
pp. 35-43
Author(s):  
Alexey Smyshlyaev ◽  
Maria Sadovskaya

Optimization of the activities of medical organizations providing primary health care requires the development of new organizational and functional models. The introduction of new approaches to organizing the activities of medical organizations is primarily a step towards patients. The new model is a patient-oriented medical organization, the management of which is based on the use of a process-oriented approach and «lean» technologies. Since 2019, within the framework of the federal project «Development of a primary health care system,» a project has been launched to introduce the «New Model of a Medical Organization Providing Primary Health Care». The implementation of the project is scheduled for 2019-2024 inclusive. The creation and replication of the «new model» is planned for the participation of all subjects of the Russian Federation. The introduction of lean technology methods in the work of medical organizations has reduced the waiting time for doctors, optimized the burden on doctors, reduced the time for obtaining research results, streamlining the process of moving a patient within a medical organization. The creation of an effective quality management system in medical organizations is achieved through the phased implementation of lean-technology.


Author(s):  
John Danaher

There is a growing sense of unease around algorithmic modes of governance (“algocracies”) and their impact on freedom. Contrary to the emancipatory utopianism of digital enthusiasts, many now fear that the rise of algocracies will undermine our freedom. Nevertheless, there has been some struggle to explain exactly how this will happen. This chapter tries to address the shortcomings in the existing discussion by arguing for a broader conception of freedom as well as a broader conception of algocracy. Broadening the focus in this way enables one to see how algorithmic governance can be both emancipatory and enslaving, and provides a framework for future development and activism around the creation of this technology.


Author(s):  
Shrutika Mishra ◽  
A. R. Tripathi

Abstract In today’s world, many digitally enabled start-ups are budding all over the globe because of the fast enhancement in digital technologies. For the establishment of new business, it is necessary to adopt a proper business model which needs to define the way in which the company will provide values and the ways in which the customers can pay for their services. This paper aims to study the various business models being used in today’s marketplace and to provide a better understanding for these business models by having an insight on the attributes.


2020 ◽  
Vol 13 (1) ◽  
pp. 89
Author(s):  
Manuel Carranza-García ◽  
Jesús Torres-Mateo ◽  
Pedro Lara-Benítez ◽  
Jorge García-Gutiérrez

Object detection using remote sensing data is a key task of the perception systems of self-driving vehicles. While many generic deep learning architectures have been proposed for this problem, there is little guidance on their suitability when using them in a particular scenario such as autonomous driving. In this work, we aim to assess the performance of existing 2D detection systems on a multi-class problem (vehicles, pedestrians, and cyclists) with images obtained from the on-board camera sensors of a car. We evaluate several one-stage (RetinaNet, FCOS, and YOLOv3) and two-stage (Faster R-CNN) deep learning meta-architectures under different image resolutions and feature extractors (ResNet, ResNeXt, Res2Net, DarkNet, and MobileNet). These models are trained using transfer learning and compared in terms of both precision and efficiency, with special attention to the real-time requirements of this context. For the experimental study, we use the Waymo Open Dataset, which is the largest existing benchmark. Despite the rising popularity of one-stage detectors, our findings show that two-stage detectors still provide the most robust performance. Faster R-CNN models outperform one-stage detectors in accuracy, being also more reliable in the detection of minority classes. Faster R-CNN Res2Net-101 achieves the best speed/accuracy tradeoff but needs lower resolution images to reach real-time speed. Furthermore, the anchor-free FCOS detector is a slightly faster alternative to RetinaNet, with similar precision and lower memory usage.


2016 ◽  
Vol 17 (3) ◽  
pp. 468-488 ◽  
Author(s):  
LOQMAN RADPEY

AbstractHaving been supressed and denied their rights by successive Syrian governments over the years, Syrian Kurds are now asserting ade factoautonomy. Since the withdrawal of the Syrian President's forces from the ethnically Kurdish areas in the early months of the current civil war, the inhabitants have declared a self-rule government along the lines of the Kurdistan regional government in northern Iraq. For Syrian Kurds, the creation of a small autonomous region is a dream fulfilled, albeit one unrecognized by the international community. Some 15% to 17% of the Syrian population is Kurdish. Whether they can achieve statehood will depend on a reading of international law and on how the international community reacts. There are certain aspects which differentiate Kurdish self-rule in Syria from its counterpart in Iraq.


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