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Using the CityPulse framework we developed a proof of concept application for Braşov public transportation company. The application provides route recommendations and incident notifications for the citizens who travel by bus. This is achieved by processing in real-time the data streams about bus arrivals in stations and the incidents reported by citizens. The proof of concept application was presented...
This paper presents a framework for processing the data generated by Smart City sensors and IoT data streams in real-time. The scope of processing is to detect various event patterns from the raw data. The framework is extensible because at any moment new data sources can be registered or new specific event detection mechanism can be deployed. The framework offers a HTTP interface which can be used...
In this paper we present the work done to develop a fault recovery component for the situation when the quality of the data streams from a smart city environment drops. The fault recovery component is able to generate estimated values when the stream generates invalid or missing observations. The component is easy to configure and deploy for a large number of data streams from a smart city environment...
Our world and our lives are changing in many ways. Communication, networking, and computing technologies are among the most influential enablers that shape our lives today. Digital data and connected worlds of physical objects, people, and devices are rapidly changing the way we work, travel, socialize, and interact with our surroundings, and they have a profound impact on different domains, such...
Smart Cities represents a large living lab environment. Due to intensively interconnected and overlapped types of systems the approach to extract effective paths to the right information on the right time raise large problems in terms of data processing capabilities. Streams acquired from all around a city raise specific challenges regarding appropriate ways to use, to extract valuable insights. In...
The main objective of this work is to develop a framework for supporting the development of applications for logistic companies that transport perishable goods (food and medicines). Reducing the amount of lost and damaged perishable goods during transportation and storage represents a substantial global challenge, which imply the implementation of cold chain monitoring at all levels of the supply...
Reducing the amount of lost and damaged perishable goods (food and medicines) during transportation and storage represents a substantial global challenge, which imply the implementation of cold chain monitoring at all levels of the supply chains. The main objective of this work is to develop an IoT enabled infrastructure, which supports the development of smart transportation specific applications...
The paradigm of Multi-agent Systems has been developed targeting scenarios with multiple actors involved in complex interactions. The nature of agent behaviors and their interactions often requires elaborate models which have to be developed, analysed and tested. This paper addresses the issue of behavior modeling for Multi-agent Systems by using the Petri Net formalism. It also describes an implementation...
Geofencing is one of the components in the wider spectra of Ambient Assisted Living related applications. Such applications are meant to provide support to persons with disabilities or to those impaired, as well as to their caretakers. Within this context, geofencing targets the safe mobility of such persons. As mobility related data can be translated into events with a temporal dimension, we have...
As the number of vehicles present on today's roads constantly increases along with the number of intelligent traffic infrastructure elements capable of providing traffic related data, the need for making the best use of this data in order to provide proper traffic and resources management increases at the same pace. Traffic Management System designers are facing thus the problem of handling vast amounts...
This paper addresses the issue of modelling concurrent systems whose structure is subject to changes by using an extension of the Petri nets formalism. Within this scope, we introduce the concept of reconfigurable finite capacity Petri nets and we apply it to a flexible manufacturing system model. Besides providing the designer a facile means of expressing the dynamic character of the flexible manufacturing...
Successful path planning and object manipulation in service robotics applications rely both on a good estimation of the robot’s position and orientation (pose) in the environment, as well as on a reliable understanding of the visualized scene. In this paper a robust real-time camera pose and a scene structure estimation system is proposed. First, the pose of the camera is estimated through the analysis...
The latest advances in the field of microelectronics and modern control systems demand for more flexible control architectures. As a result of that, the centralized control architectures are replaced by flexible distributed control systems based on intelligent drives and powerful communication networks. CAN network was designed for car networking in order to reduce the complexity of the related wiring...
The past evolutions of manufacturing processes demand more flexible automation systems. The solution, for the multi-axis positioning systems, is to replace the traditional architectures with distributed motion control architecture based on local intelligent drives. This paper presents the control of an articulated arm robot with two local intelligent drives connected on a CAN network to a motion controller...
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