Efficient Data Collection in Multimedia Vehicular Sensing Platforms

Vehicles provide an ideal platform for urban sensing applications, as they can be equipped with all kinds of sensing devices that can continuously monitor the environment around the travelling vehicle. In this work we are particularly concerned with the use of vehicles as building blocks of a multimedia mobile sensor system able to capture camera snapshots of the streets to support traffic monitoring and urban surveillance tasks. However, cameras are high data-rate sensors while wireless infrastructures used for vehicular communications may face performance constraints. Thus, data redundancy mitigation is of paramount importance in such systems. To address this issue in this paper we exploit sub-modular optimisation techniques to design efficient and robust data collection schemes for multimedia vehicular sensor networks. We also explore an alternative approach for data collection that operates on longer time scales and relies only on localised decisions rather than centralised computations. We use network simulations with realistic vehicular mobility patterns to verify the performance gains of our proposed schemes compared to a baseline solution that ignores data redundancy. Simulation results show that our data collection techniques can ensure a more accurate coverage of the road network while significantly reducing the amount of transferred data

Experimental program for the operational study of data collection platforms in Bolivia

The system developed for the SMS/GOES satellite while learning the limitations possessed by this system with regard to the LANDSAT 1 and 2 satellites with respect to the transmission distance and horizon angle is investigated. The advantages possessed by this system in comparison with conventional methods are evaluated so as to permit studying the feasibility of introducing it into this country in the near future

A pseudo random-access synchronous meteorological satellite system

Communications satellite system uses pseudo-random time frequency multiplexing technique for extracting real-time meteorological data from great number of isolated weather stations /data collection platforms/ situated randomly throughout the world

Modeling Subtropical Water-level Dynamics Distribution

ERTS-1 MSS imagery coupled with data collection platforms relaying virtual real time data for modeling subtropical water level dynamics distribution in south Florid

Habitual Disclosure: Routine, Affordance and the Ethics of Young Peoples Social Media Data Surveillance

Drawing on findings from qualitative interviews and photo elicitation, this paper explores young people’s experiences of breaches of trust with social media platforms and how comfort is re-established despite continual violations. It provides rich qualitative accounts of users habitual relations with social media platforms. In particular, we seek to trace the process by which online affordances create conditions in which ‘sharing’ is regarded as not only routine and benign but pleasurable. Rather it is the withholding of data that is abnormalised. This process has significant implications for the ethics of data collection by problematising a focus on ‘consent’ to data collection by social media platforms. Active engagement with social media, we argue, is premised on a tentative, temporary, shaky trust that is repeatedly ruptured and repaired. We seek to understand the process by which violations of privacy and trust in social media platforms are remediated by their users and rendered ordinary again through everyday habits. We argue that the processes by which users become comfortable with social media platforms, through these routines, calls for an urgent reimagining of data privacy beyond the limited terms of consent

Time-control system for communication between data-collection and orbiting

Platform design includes timers which limit data transmission to times when satellites are within radio communication range. As result of reduced power requirement, data-collection platforms now can be equipped with significantly lighter battery packages

Mobile Privacy and Business-to-Platform Dependencies: An Analysis of SEC Disclosures

This Article systematically examines the dependence of mobile apps on mobile platforms for the collection and use of personal information through an analysis of Securities and Exchange Commission (SEC) filings of mobile app companies. The Article uses these disclosures to find systematic evidence of how app business models are shaped by the governance of user data by mobile platforms, in order to reflect on the role of platforms in privacy regulation more generally. The analysis of SEC filings documented in the Article produces new and unique insights into the data practices and data-related aspects of the business models of popular mobile apps and shows the value of SEC filings for privacy law and policy research more generally. The discussion of SEC filings and privacy builds on regulatory developments in SEC disclosures and cybersecurity of the last decade. The Article also connects to recent regulatory developments in the U.S. and Europe, including the General Data Protection Regulation, the proposals for a new ePrivacy Regulation and a Regulation of fairness in business-to-platform relations

Applications of satellite data relay to problems of field seismology

A seismic signal processor was developed and tested for use with the NOAA-GOES satellite data collection system. Performance tests on recorded, as well as real time, short period signals indicate that the event recognition technique used is nearly perfect in its rejection of cultural signals and that data can be acquired in many swarm situations with the use of solid state buffer memories. Detailed circuit diagrams are provided. The design of a complete field data collection platform is discussed and the employment of data collection platforms in seismic network is reviewed

Finding Meaning in the Madness: Unifying Your Library’s Data Collection with LibAnalytics

Libraries have collected data across multiple platforms and areas and developed reports to inform their stakeholders to show the value of the library. As data collection methods have evolved, more assessment platforms have become available in the market. LibAnalytics can help you pull together an all-inclusive, real-time assessment of your library’s services. At the University of Maryland, Priddy Library, we implemented LibAnalytics in 2011 to centralize our data collection points on numerous library services. Learn how this personalized tool has helped the Priddy Library aggregate statistics on library services such as gate counts, circulation and acquisition statistics, interlibrary loan activity, reference statistics and library instruction sessions. The presentation will focus on how we developed a customized instance based on library services and the assessment needs specific to our library. Participants will brainstorm data collection points based on their library services and how to group data points logically. The presentation will discuss how to create a dataset, categorize data entry fields, develop questions, select data field types (i.e. numeric, single or multi option dropdown menus, or text fields), and edit existing datasets. In a few simple steps, learn how to filter your data, generate custom reports, create visualizations, analyze library usage instantly, and produce shareable dashboards to provide a comprehensive overview of your library’s metrics. Through these features, learn how your library can assess trends across multiple years, make data driven decisions to improve services and demonstrate the library’s value