A5014326049- Data Quality and Management
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
- Time Series Analysis and Forecasting
- Image and Video Quality Assessment
- Digital Innovation in Industries
- IoT and Edge/Fog Computing
- Data Management and Algorithms
- Advanced Malware Detection Techniques
- Big Data and Business Intelligence
- Web Data Mining and Analysis
- Network Security and Intrusion Detection
- Vehicular Ad Hoc Networks (VANETs)
- Digital Transformation in Industry
- Peer-to-Peer Network Technologies
- Advanced Computational Techniques and Applications
- Mobile Crowdsensing and Crowdsourcing
- Traffic Prediction and Management Techniques
- Smart Grid Security and Resilience
- Blockchain Technology Applications and Security
- Advanced Database Systems and Queries
- Flexible and Reconfigurable Manufacturing Systems
- Economic and Social Issues
- Smart Agriculture and AI
- Corporate Governance and Management
Hochschule Osnabrück
2016-2020
Osnabrück University
2019
Our world and our lives are changing in many ways. Communication, networking, computing technologies among the most influential enablers that shape today. Digital data connected worlds of physical objects, people, devices rapidly way we work, travel, socialize, interact with surroundings, they have a profound impact on different domains, such as healthcare, environmental monitoring, urban systems, control management applications, several other areas. Cities currently face an increasing...
An increasing number of cities are confronted with challenges resulting from the rapid urbanization and new demands that a rapidly growing digital economy imposes on current applications information systems. Smart city enable authorities to monitor, manage, provide plans for public resources infrastructures in environments, while offering citizens businesses develop use intelligent services cities. However, providing such smart gives rise several issues, as semantic heterogeneity...
Heterogeneous sensor device networks with diverse maintainers and information collected via social media as well crowdsourcing tend to be elements of uncertainty in IoT Smart City networks. Often, there is no ground truth available that can used check the plausibility concordance new information. This paper proposes Valid.IoT Framework an attachable framework component linked generate QoI vectors Interpolated sensory data quality estimations a variety platforms. The utilises extended...
Due to the rapid development of Internet Things (IoT) and consequently, availability more IoT data sources, mechanisms for searching integrating sources become essential leverage all relevant improving processes services. This paper presents search framework IoTCrawler. The IoTCrawler is not only another framework, it a system systems which connects existing solutions offer interoperability overcome fragmentation. In addition its domain-independent design, features layered approach, offering...
The Internet of Things (IoT) offers an incredible innovation potential for developing smarter applications and services. However, today we see solutions in the development vertical services reflecting what used to be early days Web, leading fragmentation intra-nets Things. To achieve open IoT ecosystem systems platforms, several key enablers are needed effective, adaptive scalable mechanisms exploring discovering resources their data/capabilities. This paper discusses our work EU H2020...
With the introduction of Internet Things (IoT) into every area life, more and applications are created that rely on information collected from IoT sensors. These developed by third-party developers depend a continuous flow but do not operate sensor network themselves. However, in case failures, will be interrupted which pose problem for user/application as well data provider who might able to replace time. Depending requirements application, estimators trained through machine learning...
Reliable information processing is an indispensable task in Smart City environments. Heterogeneous sensor infrastructures of individual providers and data portal vendors tend to offer a hardly revisable quality. This paper proposes correlation model-based monitoring approach evaluate the plausibility smart city sources. The model based on spatial, temporal, domain dependent correlations between A set freely available datasets used component show challenges different spatial temporal resolutions.
This paper deals with the use of Quality Information (QoI) in context frameworks for data integration Internet Things (IoT). It analyses existing approaches available to generate measures information quality and proposes a concept integrate real-time QoI calculation into an IoT framework. The approach shows several advantages when it comes fault-detection, or ranking streams searching devices. However, often suffers from missing incomplete metadata. is addressed by knowledge-based approach.