Self-Construction of Aggregation Tree for Gathering Mobile Data in Wireless Sensor Network

2010 ◽  
Vol E93-B (5) ◽  
pp. 1264-1267 ◽  
Author(s):  
Sangbin LEE ◽  
Songmin KIM ◽  
Sungjun KIM ◽  
Doohyun KO ◽  
Bumjin KIM ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Mobile Data ◽  
Aggregation Tree

scholarly journals DaLiF: a data lifecycle framework for data-driven governments

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Syed Iftikhar Hussain Shah ◽  
Vassilios Peristeras ◽  
Ioannis Magnisalis
Keyword(s):  
Big Data ◽  
Data Management ◽  
Good Governance ◽  
Business Community ◽  
Data Driven ◽  
Governmental Organizations ◽  
Data Lifecycle ◽  
The Government ◽  
Data Ecosystem ◽  
Governance Transparency

AbstractThe public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity and comes from a diversity of sources. This kind of data is known as big data. Public Administrations (PAs) pursue big data as “new oil” and implement data-centric policies to transform data into knowledge, to promote good governance, transparency, innovative digital services, and citizens’ engagement in public policy. From the above, the Government Big Data Ecosystem (GBDE) emerges. Managing big data throughout its lifecycle becomes a challenging task for governmental organizations. Despite the vast interest in this ecosystem, appropriate big data management is still a challenge. This study intends to fill the above-mentioned gap by proposing a data lifecycle framework for data-driven governments. Through a Systematic Literature Review, we identified and analysed 76 data lifecycles models to propose a data lifecycle framework for data-driven governments (DaliF). In this way, we contribute to the ongoing discussion around big data management, which attracts researchers’ and practitioners’ interest.

scholarly journals Reducing the Cooling Energy Consumption of Telecom Sites by Liquid Cooling

Proceedings ◽  
2020 ◽  
Vol 58 (1) ◽  
pp. 19
Author(s):  
Jari Huttunen ◽  
Olli Salmela ◽  
Topi Volkov ◽  
Eva Pongrácz
Keyword(s):  
Energy Savings ◽  
Reduction Potential ◽  
Dissipated Energy ◽  
Air Cooling ◽  
Liquid Cooling ◽  
Mobile Data ◽  
Commercial Use ◽  
The Future ◽  
Base Transceiver Station ◽  
Ventilation Duct

The use of mobile data has increased and will continue to increase in the future, because more data is moving to wireless networks such as 5G. Cooling energy need is also expected to increase in indoor telecom rooms, and can be as high as the equipment’s own power consumption. The world’s first liquid Base Transceiver Station (BTS) was adopted into commercial use in 2018, in Helsinki, Finland. Conventional air-cooled BTS hardware was converted into liquid-cooled BTS equipment. Heat from the BTS was pumped out of the site room, and thus ventilation or air conditioning was not needed for the heat load from the BTS. Heat stored in the liquid was released into the ventilation duct of the building, still providing annual cooling energy savings of 70%, when compared to air cooling. In the future, 80% of the total dissipated energy, 13450 kWh/a in total, can potentially be used for heating purposes. In terms of CO2 emissions, adapting liquid cooling showed an 80% reduction potential when compared to air cooling.

Trust in open data applications through transparency

2020 ◽  
pp. 146144482097970
Author(s):  
Christian Wiencierz ◽  
Marco Lünich
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Open Data ◽  
Application Process ◽  
Data Application ◽  
User Data ◽  
Data Ecosystem

Open data provide great potential for society, for example, in the field of smart cities, from which all citizens might profit. The trust of these citizens is important for the integration of various data, like sensitive user data, into an open data ecosystem. In the following study, we analyzed whether transparency about the application of open data promotes trust. Furthermore, we formulated guidelines on how to create transparency regarding open data in an ethical way. Using an open-data-based fictitious smart city app, we conducted an experiment analyzing to what extent communication of the technical open data application process and the ethical self-commitment for the transparent communication of data application affect trust in the app’s provider. The results indicate that the more information users obtain regarding the use of open data, the more trustworthy they perceive the app provider to be, and the more likely they are to use the app.

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