Governance of the Internet of Things

Weber, Rolf H.; Weber, Romana

doi:10.1007/978-3-642-11710-7_4

Cited by 27 publications

(26 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A further possibility exists in connecting dedicated low-cost SSR devices with e.g. light control units or programmable thermostats, using the Internet of Things [9].…”

Section: Introductionmentioning

confidence: 99%

Chime-home: A dataset for sound source recognition in a domestic environment

Foster

Sigtia

Krstulović

et al. 2015

2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

View full text Add to dashboard Cite

For the task of sound source recognition, we introduce a novel data set based on 6.8 hours of domestic environment audio recordings. We describe our approach of obtaining annotations for the recordings. Further, we quantify agreement between obtained annotations. Finally, we report baseline results for sound source recognition using the obtained dataset. Our annotation approach associates each 4-second excerpt from the audio recordings with multiple labels, based on a set of 7 labels associated with sound sources in the acoustic environment. With the aid of 3 human annotators, we obtain 3 sets of multi-label annotations, for 4378 4-second audio excerpts. We evaluate agreement between annotators by computing Jaccard indices between sets of label assignments. Observing varying levels of agreement across labels, with a view to obtaining a representation of 'ground truth' in annotations, we refine our dataset to obtain a set of multi-label annotations for 1946 audio excerpts. For the set of 1946 annotated audio excerpts, we predict binary label assignments using Gaussian mixture models estimated on MFCCs. Evaluated using the area under receiver operating characteristic curves, across considered labels we observe performance scores in the range 0.76 to 0.98.Dataset URL: http://archive.org/details/chime-home

show abstract

“…A further possibility exists in connecting dedicated low-cost SSR devices with e.g. light control units or programmable thermostats, using the Internet of Things [9].…”

Section: Introductionmentioning

confidence: 99%

Chime-home: A dataset for sound source recognition in a domestic environment

Foster

Sigtia

Krstulović

et al. 2015

2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

View full text Add to dashboard Cite

show abstract

“…With the rapid development of information technology, increasing applications referring to the Internet of things (IoT) [1] are booming. These IoT applications are applied in a vast variety of fields, such as environmental monitoring, health care, military, biological research, factories, security, social contact, smart homes and so on, close the distance between man and the real world.…”

Section: Background and Problem Motivationmentioning

confidence: 99%

A distributed range query framework for the internet of things

Zhang

Wang

2015

2015 18th International Conference on Intelligence in Next Generation Networks

View full text Add to dashboard Cite

A distributed range query framework for the Internet of Things Förnamn Efternamn Congcong ZhangA Distributed Range Query Framework for the Internet of Things Congcong Zhang 2014-11-15 i AbstractWith the rapid development of information technology, applications referring to the Internet of things are booming. Applications that gather information from sensors and affect the context environment with actuators can provide customized and intelligent behaviour to users. These applications have become widely used nowadays in daily life and have initiated the multi-dimensional range query demand referring to the Internet of things. As the data information is fully distributed and the devices like sensors, mobile phones, etc., has limited resources and finite energy, supporting efficient range query is a tough challenge. In this paper, we have proposed a distributed range query framework for Internet of things. In order to save energy costs and reduce the network traffic, we suggest a reporting data range mechanism in the sensing peers, which choose to report a data range and report again only when the peer senses an abnormal data instead of the common moving data method. In addition, we selected some strong peers to be used as the super peers to create a data index by collecting the reporting data range, which will be used for performing range queries. The study has shown that our proposal framework could reduce resource costs in the less strong peers like sensors and mobile phones, and reduce network traffic among all the peers within the network, as well as support a range query function. According the evaluation results, the reporting data range method could greatly reduce the data migration times and save energy costs, and the data index could significantly reduce accessing unnecessary peers and diminish the network traffic.

show abstract

“…The way how users employ their devices has changed in the past few years; even the number of different devices per user is increasing because of the socalled Internet of Things (1). Thanks to it, users have more flexibility since they can now use their devices to access company assets and continue working outside of the workplace.…”

Section: Introductionmentioning

confidence: 98%