Adriana Olteanu

Enhanced data integration for LabVIEW laboratory systems

Integrating data is a basic concern in many accredited laboratories that perform a large variety of measurements. However, the present working style in engineering faculties does not focus much on this aspect. To deal with this challenge, we developed an educational platform that allows characterization of acquisition ensembles, generation of Web pages for lessons, as well as transformation of measured data and storage in a common format. As generally we had to develop individual parsers for each instrument, we also added the possibility to integrate the LabVIEW workbench, often used for rapid development of applications in electrical engineering and automatic control. This paper describes how we configure the platform for specific equipment, i.e. how we model it, how we create the learning material and how we integrate the results in a central database. It also introduces a case study for collecting data from a thermocouple-based acquisition system based on LabVIEW, used by students for a laboratory of measurement technologies and transducers.

A semantic Web based scientific news aggregator

Scientists want to stay connected with everything that is new in scientific world, so they constantly read several online scientific magazines and newspapers. However, not all the subjects are of interest to everyone. Consequently, a user is forced to do a lot of browsing to find the articles which are important to him. This paper presents a scientific news aggregator, structured as an online magazine. The content is automatically withdrawn from several online publications, available on the Internet. Instead of using a traditional database, all the information about the items posted on the site is stored in a RDF file, which is automatically updated.

Biomedical data correlation and reuse in analyzing the efficiency of rehabilitation treatment

The aim of the project making the subject of this paper was setting up a complex database (medical, imagistic, biomechanical) and developing conceptual models for interpreting the available data, with direct applicability in choosing and evaluating the treatment. The database contains heterogeneous, multidisciplinary data, provided by various investigations. Research based on corroborating clinical data, specific to each specialization involved in the functional rehabilitation process for patients with orthopaedics or neuromuscular pathology, has been successfully associated with motion analysis software, in order to create a complex acquisition and data processing system, with direct applicability in the human motility analysis.

Sensor Network Modeling as a Service.

Cloud Computing opens new possibilities of service provisioning for sensor networks, necessary as they become more pervasive and distributed. This paper introduces a Model as a Service approach and a modeling language specifically defined for representing sensor network architecture, based on a four-phased method. It describes the metamodel and the correspondent environment for graphical modeling, with examples of sensor network models for road traffic monitoring. The sensor modeling environment was integrated on a private Cloud platform, within a virtual machine template, to provide sensor network modeling as a service, which is currently available for our university students. This serves as a foundation for delivering new services based on the interpretation of the resulted sensor network architecture models.

Data acquisition, processing and visualization for early warning information systems

Data acquisition, processing and visualization are generally part of any information system dedicated to early warning and are implemented in a large variety of ways. This paper analyzes the existing possibilities and presents a case study for a system focused on territorial vulnerabilities induced by nuclear facilities. One discusses the solutions adopted, the challenges and the aspects that are generic to warning systems, irrespective of the application domain.

The Design and Validation of an Experimental Model for the Secure and Efficient Medical Services Based on PKI Infrastructures and Smart-Cards

Abstract This paper presents an experimental information system for the secure and efficient medical services based on PKI infrastructures and smart-cards. The introduction offers a global view of the current context in Romania and emphasizes the necessity of a new approach in the medical area. The second section presents the platform architecture – from both software and hardware point of view. Afterward, we introduce and explain the stages of the card and how the system was tested and the experimental validation of the system. In the end, there are a few main talking points that conclude all presented above.

The design and implementation of an experimental model for secure management of personal data based on electronic identity card and PKI infrastructure

Abstract This paper presents an experimental information system for the management of personal data and citizen identification, called PLATSEC, based on multi-application smartcards technologies and on PKI infrastructures. The introduction offers a global view of the current context in Romania and emphasizes the necessity of a new approach in the public sector – which addresses both the public sectors services and the public information security. The second section presents the platform architecture – from both software and hardware point of view. Afterward, we introduce and explain a use-case scenario, which aims to prove our system efficiency and advantages, which have also been confirmed by the quality assurance tests performed. In the end, there are a few main talking points that conclude all presented above.

Managing Systems Complexity at Architectural Level

Abstract Today systems are getting bigger and more complex. In order to defend against overwhelming system complexity, we need to be able to understand and measure complexity and then, manage the issues that cause complexity. In this paper we discuss about the complexity challenge during the design of complex systems, methods and techniques for evaluation, measurement and reduction. The architecture model must be simple, maintainable and understandable. An appropriate level of abstraction in modeling helps to reduce the emerging complexity by focusing on the relevant properties and omitting irrelevant detail, thus leading to a simpler representation. Moreover engineering solutions such as model driven development may increase complexity due to the technologies used to create and manipulate models.