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Towards a Quality-centric Big Data Architecture for Federated Sensor Services

Lakshmish Ramaswamy, Victor Lawson, Siva Venkat Gogineni
2013 2013 IEEE International Congress on Big Data  
We envision a cloud-based eco-system in which high quality data from large numbers of independently-managed sensors is shared or even traded in real-time.  ...  In this paper, we present our vision for data quality (DQ)centric big data infrastructure for federated sensor service clouds. We first motivate our work by providing real-world examples.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors, and do not necessarily reflect the views of the NSF.  ... 
doi:10.1109/bigdata.congress.2013.21 dblp:conf/bigdata/RamaswamyLG13 fatcat:vhuqmdxpd5eejpi7umtwjwpgzu

Guest Editorial for the Special Issue on Data Quality in Databases

Felix Naumann, Louiqa Raschid
2009 Journal of Data and Information Quality  
"Representing Data Quality in Sensor Data Streaming Environments" by Anja Klein and Wolfgang Lehner addresses quality problems for sensor data managed in data streams.  ...  mining techniques to analyze data quality; -methods to implant information quality dimensions into a (sensor stream) database; -an innovative method to clean data within a database; -an approach to make  ... 
doi:10.1145/1577840.1577842 dblp:journals/jdiq/NaumannR09 fatcat:dg6fhvup35a2ffylgoksjrs2sm

Dynamic Data Driven Applications Systems: A New Paradigm for Application Simulations and Measurements [chapter]

Frederica Darema
2004 Lecture Notes in Computer Science  
Dynamic Data Driven Application Systems (DDDAS) entails the ability to incorporate additional data into an executing application -these data can be archival or collected on-line; and in reverse, the ability  ...  Recent advances in complex applications, the advent of grid computing and of sensor systems, are some of the technologies that make it timely to embark in developing DDDAS capabilities.  ...  the streamed input data and the scope of systemic approach to addressing the ensuing challenges: assessment of data quality, incorporation of uncertainty, ability to combine different kinds of data taken  ... 
doi:10.1007/978-3-540-24688-6_86 fatcat:m43ggokzsnh4fbpo6qaenzs53m

DQS-Cloud: A Data Quality-Aware Autonomic Cloud for Sensor Services

Abhishek Kothari, Vinay Boddula, Lakshmish Ramaswamy, Neda Abolhassani
2014 Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing  
Second, it incorporates autonomic-computing-based techniques for dealing with sensor failures as well as data quality dynamics.  ...  In this paper, we present the design and evaluation of Data Quality-Aware Sensor Cloud (DQS-Cloud), a cloud-based sensor data services infrastructure.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors, and do not necessarily reflect the views of the NSF.  ... 
doi:10.4108/icst.collaboratecom.2014.257475 dblp:conf/colcom/KothariBRA14 fatcat:w77yps2mujgnrizox555r4iere

A need for an integrative security model for semantic stream reasoning systems

Admirim Aliti, Edmond Jajaga, Kozeta Sevrani
2018 International Journal of Business & Technology  
We plan to validate our approach on a typical application of stream data, on Wireless Sensor Networks (WSNs). In particular, WSNs for water quality monitoring will serve as a case study.  ...  The provision of Stream Reasoning as a new area spanning Semantic Web and Data Stream Management Systems has eventually opened up new challenges.  ...  We strive to develop and implement a security model which has all main segments of security for Stream Reasoning systems, and which can be used when we deploy or need to maintain a WSN in different contexts  ... 
doi:10.33107/ijbte.2018.6.3.01 fatcat:is4n3d3lj5cw7nzfjmoe3vhwie

Embedding intelligent decision making within complex dynamic environments

G. M. P. O'Hare, M. J. O'Grady, R. Tynan, C. Muldoon, H. R. Kolar, A. G. Ruzzelli, D. Diamond, E. Sweeney
2007 Artificial Intelligence Review  
This paper considers in situ decision making whereby decisions are effected based upon inferences made from both locally sensed data and data aggregated from a sensor network.  ...  Decision-making is a complex and demanding process often constrained in a number of possibly conflicting dimensions including quality, responsiveness and cost.  ...  describe the construction of a virtual sensor for water quality control that incorporates neural networks and fuzzy logic. In maritime environments, Chen and Mynett (?)  ... 
doi:10.1007/s10462-008-9089-y fatcat:zris6553knhanc44q5stbz4huu

Designing Future Processing, Exploitation, and Dissemination Support Systems Using Simulation

Corey Lofdahl, Martin Voshell, Samuel Mahoney
2014 Procedia Computer Science  
Although earlier integration of the data during the process will not completely eliminate the need for additional personnel for each sensor stream, the dynamic systems model indicates that earlier data  ...  together in the sensor stream, as represented by PE, as were exploitation and dissemination, as represented by ED.  ... 
doi:10.1016/j.procs.2014.09.026 fatcat:voutrtrqcze37hbvdyyme624cu

Special Issue on Smart Data and Semantics in a Sensor World

Sergio Ilarri, Laura Po, Raquel Trillo-Lado
2020 Applied Sciences  
Since its first inception in 2001, the application of the Semantic Web [...]  ...  Semantics and Sensor Data: real-time sensor data streams, data management for sensor data, obtention of smart data from sensors, analytics of sensor data streams, semantic modelling and annotation of sensor  ...  Sensor data are uncertain and imprecise by definition; therefore, to increase their quality, allocating enough resources to clean up sensor data properly is needed.  ... 
doi:10.3390/app10186355 fatcat:ufucttdtyvcvngkq6h6n2oyt64

Toward Semantic Sensor Data Archives on the Web

Jean-Paul Calbimonte, Karl Aberer
2016 Extended Semantic Web Conference  
In this paper we identify some of the main challenges for engineering semantic sensor data archives, and we present an abstract architecture for such type of infrastructure.  ...  We use a real sensor deployment for air quality monitoring as a motivating use case and running example, and we show preliminary results on RDF transformation, compared with a representative data compression  ...  A Semantically-enabled Sensor Data Archive In this section we present the main design principles for a sensor data archive that incorporates semantic data management at its core, in order to cope with  ... 
dblp:conf/esws/CalbimonteA16 fatcat:efyveywnsvf45jox75rijavhta

A Data Analysis Driven Streaming Framework for Body Sensor Area Networks

Yu Cao, Ming Li, B Prabhakaran
2013 Proceedings of the 8th International Conference on Body Area Networks  
In this work, we propose a data analysis driven framework with feedback for efficient streaming of body sensor data.  ...  Streaming and analysis of time series body sensor data have been well investigated recently for various applications, especially on health data monitoring.  ...  RELATED WORKS Quality of service (QoS) scheduling for streaming body sensor data has been well investigated.  ... 
doi:10.4108/icst.bodynets.2013.253914 dblp:conf/bodynets/Cao0P13 fatcat:hjxobvvnafahfmga5ssqfefime

A Prospective Data-Oriented Framework for New Vessel Design

Brendan P. Sullivan, Shantanoo Desai, Patrick Klein, Jordi Sole Rebull, Monica Rossi, Lucia Ramundo, Sergio Terzi, Klaus Dieter-Thoben
2019 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)  
The successful utilization of sensors and relevant data in vessel design requires forward thinking and consideration of stakeholders and current design processes.  ...  With this approach, incorporation of stakeholder and usage information facilitate an improved design process, providing traceability between the link of data streams and design decisions.  ...  Data for Vessel Design The incorporation of data from sensor and PUI data is limited in the use of vessel design and vessel optimization efforts [15] , [16] .  ... 
doi:10.1109/ice.2019.8792643 dblp:conf/ice-itmc/SullivanDKRRRTT19 fatcat:lsip3dxigjfjbcazkfxoyt2bbe

Dynamic Data Driven Applications Systems: New Capabilities for Application Simulations and Measurements [chapter]

Frederica Darema
2005 Lecture Notes in Computer Science  
sensor systems, to data storage technologies and remote data access have also matured.  ...  The Dynamic Data Driven Application Systems (DDDAS) concept entails the ability to incorporate dynamically data into an executing application simulation, and in reverse, the ability of applications to  ...  The paper in [8] develops capabilities for short-range forecasting of wildfire behavior from real-time weather data, thermal imaging, and thermal sensor data streams.  ... 
doi:10.1007/11428848_79 fatcat:gtvyefrwufgnxnj3kzepicva7u

Guest Editorial

2004 IEEE Transactions on Mobile Computing  
They achieve high spectral efficiency by simultaneously transmitting multiple independent data streams in the same channel.  ...  They have first presented a centralized algorithm called stream-control medium access (SCMA) that incorporates optimization considerations.  ...  They achieve high spectral efficiency by simultaneously transmitting multiple independent data streams in the same channel.  ... 
doi:10.1109/tmc.2004.40 fatcat:xiknxhliurbzxnebe64o6a3y2a

From Wellness to Medical Diagnostic Apps: The Parkinson's Disease Case [chapter]

Stefan Kueppers, Ioannis Daskalopoulos, Ashwani Jha, Nikos F. Fragopanagos, Panagiotis Kassavetis, Effrosyni Nomikou, Tabish Saifee, John C. Rothwell, Kailash Bhatia, Marco U. Luchini, Marco Iannone, Theano Moussouri (+1 others)
2016 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
We report on lessons learnt towards meeting fidelity and regulatory requirements; effective procedures employed to structure user context and ensure data quality; a robust service provision architecture  ...  Acknowledgments Project CloudUPDRS: Big Data Analytics for Parkinson's Disease patient stratification is supported by Innovate UK (Project Number 102160).  ...  Data Quality. Data quality in pervasive computing has often been investigated by considering specific stages of the processing pipeline in isolation.  ... 
doi:10.1007/978-3-319-49655-9_46 fatcat:quohfxnoyzhnrnds4dd4xner4q

Management of Underground Infrastructure

Sachin Bajaj, Amol Adhave, Priyanka Avhad
2015 International Journal of Computer Applications  
As most of the cities in India have adopted underground drainage system, it is very important that this system should work in proper manner to keep the city clean, safe and healthy.  ...  Also Leaks and bursts are an unavoidable aspect of water distribution systems management, and can account for significant water loss within a distribution network if left undetected for long periods.  ...  It also has the ability to perform local data processing when appropriate. Wireless Sensor Network is deployed in network, and provides on-line streams of data.  ... 
doi:10.5120/ijca2015906627 fatcat:uvzkzekizzffjb2oqxabh3m3ye
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