An early warning system (EWS) is a distributed system that monitors the physical world and issues warnings if it detects abnormal situations. The Internet of Things (IoT) offers opportunities to improve monitoring capabilities of EWS and to realize (near) real-time warning and response. This paper presents the development of an interoperable IoT-based EWS to detect accident risks with trucks that deliver goods at the Valencia port area. Our solution addresses the semantic integration of a variety of data sources with processing in safety-critical applications for effective emergency response. The solution considers existing domain-specific ontologies and standards, along with their serialization formats. Accident risks are assessed by monitoring the drivers' vital signs with ECG medical wearables and the trucks' position with speed and accelerometer data. Use cases include the detection of health issues and vehicle collision with dangerous goods. This EWS is developed with the SEMIoTICS framework, which encompasses a model-driven architecture that guides the application of data representations, transformations, and distributed

No abstract

In addition to in-house applications, networked enterprises are increasingly using data and services from various external sources. Conversion of data to useful information and IT alignment with business goals are big challenges faced by these enterprises. Integration platforms (IPs) aid enterprises in solving such challenges. However, the large number of commercial and academic IPs currently available have created a new problem for enterprises, namely whether to build their own IP or buy/rent a existing IP. Also, how to choose from the plethora of different design/solution options that are available? This paper presents a study and analysis of 31 IPs to bring out best practices in IP design. Following a commonality analysis of IPs from different research domains, an IP reference architecture is proposed. The reference architecture will aid enterprises in making better IP design/solution choices. It can also contribute to IP research by acting as a common reference point for future IP analysis.

No abstract

Due to rapid global economic growth and competition, there is an increased pressure on logistic companies. On one hand, they have to be flexible and agile, to meet Service Level Agreements (SLA's) with clients, while on the other hand they have to comply with government regulations and environment protection laws. Better utilization of different modes of transport and improved decision making can contribute to solving both these challenges. This requires increased co-operation between logistic service providers (LSPs). Our aim is to develop an IT platform which facilitates increased cooperation between logistic partners and allows them to function in a synchromodal way. We use the principles of Service Oriented Architecture (SOA) to design the IT platform. Using this platform, a single consignment can be fulfilled using different modes of transport and unforeseen problems in transportation can be dealt with. A consortium of leading Dutch logistic companies will be the test bed for this research.