Smart home, smart things and smart me in the smart city: the hub-of-all-things resource integration and enabling tool (HARRIET)

Author(s):  
Xiao Ma ◽  
I. Ng ◽  
G. Pogrebna
2019 ◽  
Vol 8 (4) ◽  
pp. 9543-9547

Internet of things plays an important role to make smart in all the areas like smart city, smart home etc [1]. It is used in more efficient water supply, an innovative solution for traffic congestion, to make reliable public transportation, improved the public safety, energy efficient building, Vehicle smart security system etc [4]. While the average cost for basic items is going up, there is a developing concentration to include innovation to bring down those costs for smart city development. In the following chapter will discussed the few innovation for the smart city development.


Author(s):  
Philip Cooke

In her study of ‘Surveillance Capitalism’, Shoshana Zuboff cites Google’s parent firm Alphabet’s legal customer-purchase agreement for the parent firm’s Nest thermostats. These impose ‘oppressive privacy and security consequences’ requiring sensitive information to be shared through ‘Internet-of-Things’ (IoT) networks with other domestic and external devices, unnamed functionaries and various third parties. This is for data harvesting, analytics, processing, manipulation and transformation through digital re-sale to the same and other consumers in the form of unwanted, targeted advertising. The point of this identity ‘rendition’ is to massively augment corporate profits. It is but a short step from trapping the unwitting consumer in a ‘smart home’ to planning a similarly mediated ‘smart city’ aimed at further massively augmenting corporate profits. This is happening, as founders of digital media from Google, Facebook, Microsoft, Amazon and Tesla either commission or become beneficiaries of ‘smart city’ planning. However, there is evidence that such imperiousness is increasingly countered by emerging democratic critique of these new ‘model villages’ or ‘company towns’.


Author(s):  
Vishal Dattana ◽  
Arun Kumar ◽  
Ashwani Kush ◽  
Syed Imran Ali Kazmi
Keyword(s):  

BWK ENERGIE. ◽  
2019 ◽  
Vol 71 (05) ◽  
pp. 24-25
Author(s):  
Steffen Heudtlaß

INTERNET OF THINGS | Ob Smart Home, Smart Building oder Smart City – Stadtwerke sollten die neuen Betätigungsfelder mithilfe der Long-Range-Wide-Area-Network (LoRaWAN)-Funktechnologie rasch besetzen, rät Steffen Heudtlaß, bei der MeterPan GmbH verantwortlicher Geschäftsentwickler. Das Unternehmen aus Norderstedt unterstützt Versorger beim Schritt in die Welt des Internet of Things (IoT).


2016 ◽  
Vol 2016 ◽  
pp. 1-20 ◽  
Author(s):  
Aggeliki Vlachostergiou ◽  
Georgios Stratogiannis ◽  
George Caridakis ◽  
George Siolas ◽  
Phivos Mylonas

Ubiquitous Computing is moving the interaction away from the human-computer paradigm and towards the creation of smart environments that users and things, from the IoT perspective, interact with. User modeling and adaptation is consistently present having the human user as a constant but pervasive interaction introduces the need for context incorporation towards context-aware smart environments. The current article discusses both aspects of the user modeling and adaptation as well as context awareness and incorporation into the smart home domain. Users are modeled as fuzzy personas and these models are semantically related. Context information is collected via sensors and corresponds to various aspects of the pervasive interaction such as temperature and humidity, but also smart city sensors and services. This context information enhances the smart home environment via the incorporation of user defined home rules. Semantic Web technologies support the knowledge representation of this ecosystem while the overall architecture has been experimentally verified using input from the SmartSantander smart city and applying it to the SandS smart home within FIRE and FIWARE frameworks.


Author(s):  
Ali Reza Honarvar ◽  
Ashkan Sami

Advances in sensing techniques and IOT enabled the possibility to gain precise information about devices in smart home and smart city environments. Data analysis for sensors and devices may help us develop friendlier systems for smart city or smart home. Sequence pattern mining extracts interesting sequence pattern from data. Electricity usage dose follow a sequence of events. In this study the authors investigate this issue and extracted valuable sequence pattern from real appliances' power usage dataset using PrefixSpan. The experiments in this research is implemented on Spark as a novel distributed and parallel big data processing platform on two different clusters and interesting findings are obtained. These findings show the importance of extracting sequence pattern from power usage data to various applications such as decreasing CO2 and greenhouse gas emission by decreasing the electricity usage. The findings also show the needs to bring big data platforms to processing such kind of data which is captured in smart home and smart cities.


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