Research Projects

Tpark Assist. Parking assistance system for TPark.

The objective of this project is to extend the services offered to the clients by the Piconet
company, which is the national leader of city surface parking management systems.
The aim is to develop a robust method for monitoring the parking occupancy based on
processing of images captured by surveillance cameras. This method has to adapt to harsh
weather conditions and to changing in illumination due to some natural causes like clouds
or artificial ones like public lighting. It also has to adapt to a large variety of cameras’
deployment angles, and to learn environment changes. It has to offer a good support for
future extension of services – e.g. automatic car plates recognition or automatic payment
methods. The company plan to use the method developed here to implement a mobile
application that can offer an overview of parking occupancy to the clients for an entire area
managed by the company. The utility of this solution is to save the client time spent in
finding a parking place, especially in crowded central city areas, and it was already
requested by many existing clients. Moreover, it will ensure some other benefits like saving
the fuel consumption and reducing the pollution generated by cars that creates overhead
traffic on the way to find a free parking place. In order to ensure the desired accuracy this
method will combine image processing algorithms with existing statistical information
collected by the company, and with learned data. In addition it should include a simple and
clear procedure for further system deployment. The result of research will be a functional
prototype that can be integrated in the existing company parking management system.
Principal Investigator
Project Team
Marius Baba
Project Duration
2017.07.25 - 2017.12.31
Research Fields

INCEPTION: Internet of Things meets Complex Networks or early prediction and management of Chronic Obstructive Pulmonary Disease

Recent research indicates Chronic Obstructive Pulmonary Disease (COPD) as the third cause of death and one of the main impediments to the quality of living in today’s society. COPD is defined as the clinical condition which reduces pulmonary capacity; it is not reversible, however if diagnosed at an early phase, its evolution can be controlled. Unfortunately, the early detection of COPD is a difficult task, and often time people are diagnosed when they are already in an advanced stage. Capitalizing on recent research results which indicate sensor systems, mobile, and Internet of Things solutions as very useful for monitoring and managing COPD, we propose a personal, integrated prototype system for early detection and evolution prediction of COPD. As such, we intend to build a sensor network that gathers multiple physiological signals and a mobile application that extracts the multi-fractal spectra as mere signatures of these signals. Then, the mobile system will integrate the physiologic signatures with anthropometric and other individual clinical data. On the server side, we will collect the integrated data from a population of individuals, to build a complex network model of patients. Indeed, recent papers indicate the complex network model as very useful for generating COPD predictions. To this end, we will employ modularity clustering and network layout tools to build prediction models for both early detection and evolution prediction of COPD. The prediction model will be instantiated as a smartphone application and tested in order to assess its predictive capacity. In order to undertake the objectives of our proposal, we assemble a multidisciplinary team, consisting of computer engineers (hardware and software) and specialized medical doctors. The engineering teams will build the hardware and software parts of our demonstration model, whereas the medical team will provide the necessary medical expertise, in order to test and validate the engineering model.
Principal Investigator
Project Team

Andrei LIHU, Ștefan MIHĂICUȚĂ, Daniela REISZ, Rodica DAN, Carmen ARDELEAN
Project (Grant) Value
110K EURO
Project Duration
2017.01.03 - 2018.06.30
Research Fields

TEEFIOS: Time and Energy Efficient Framework for Inter-Operation of Smart devices

Wireless networks of sensors and smart devices (WSN) are an extremely interesting topic, at the confluence of engineering fields with enormous impact on worldwide society: digital networks, wireless communications, and miniature embedded digital devices.
Aware of the severe requirements and challenges raised by current applications in this area, we propose a new paradigm - Time and Energy Efficiency (T: or TEE). The goal of the project is to develop an integrated real-time and energy efficient inter-operation framework for networks of smart sensors and devices - TEEFIOS.
The main proposed objectives focus on three distinct layers: (a) T:Node, a hardware-software environment and methodology for designing and assessing real-time behavior and efficient energy consumption of embedded devices, (b) T:YNet, a system for the development and analysis of TEE communication in wireless ad-hoc networks, and (c) T:PIlot, a methodology for the power management of the entire network. An integrated set of tools, benchmarks and databases will also be created to help advanced developers and researchers in the WSN area apply the TEE paradigm to applications with high impact. All the results will be validated using real-life case studies.
Existing resources include a postdoc and PhD students with direct interest in these fields, balanced by senior researchers with high expertise and international visibility, all supported by a well equipped environment - the DSPLabs.
Principal Investigator
Project Team

Claudia Micea
Project (Grant) Value
123340 EUR
Project Duration
2015.10.01 - 2017.09.30
Research Fields
Cross-border access infrastructure to high-level education through web-casts – IPA 99310/04.12.2013

Cross-border access infrastructure to high-level education through web-casts

Project objectives: Increasing educational exchanges through a common cross-border approach in the area of technical education by implementing an Education web-cast system; Creating a cross-border partnership between the Faculty of Automation and Computers from Timisoara and the Technical Faculty from Zrenjanin; Improving the quality of education for the students and pupils from the border area Increasing the overall competitiveness of the economy in the border area.
Project results: EduWebCast systems, lectures that will be broadcasted through the portal, users of the portal, meetings attended by members of both teams, information and publicity events, conferences.
Target groups: University students from the two universities, High school pupils in the cross border area, Graduated students that are employed especially in companies that are located in the border region.
Principal Investigator
Project Team

Octavian PROSTEAN, Cristian VASAR, Anca Sorana POPA
Project (Grant) Value
179890 EUR
Project Duration
2013.12.18 - 2015.06.17
Research Fields
JCBICS-UDPUT Joint Cross-Border Internet Communication System of the University of Debrecen and Politehnica University of Timisoara

JCBICS-UDPUT Joint Cross-Border Internet Communication System of the University of Debrecen and Politehnica University of Timisoara

University of Debrecen, as main partner, and the Politehnica University of Timisoara, as cross-border partner, submit a proposal with the stated goal of the proposal is integration of in cross-border communication system the local internetwork systems of the University of Debrecen and the Politehnica University of Timişoara. The overall goal of the project is to enable enhanced capacity for cross-country cooperation and interaction between and within the participating universities by providing high quality WiFi system and IP streaming system for the students, professors and researchers at the University of Debrecen and Politehnica University of Timisoara, aiming at supporting the synchronization of educational, research and development, and other scientific activities of the cooperating universities. Present proposal influences the cooperation activity of the universities involved, facilitating collaboration between the target groups, university students, researchers.
Principal Investigator
Project Team
Project (Grant) Value
356275,90 EUR
Project Duration
2013.01.01 - 2014.05.31
Research Fields

GEMSCLAIM: GreenEr Mobile Systems by Cross LAyer Integrated energy Management

Personal computing currently faces a rapid trend from desktop machines towards mobile services, accessed via tablets, smartphones and similar terminal devices. With respect to computing power, today´s handheld devices are similar to Cray-2 supercomputers from the 1980s. Due to higher computational load (e.g. via multimedia apps) and the variety of radio interfaces (such as WiFi, 3G, and LTE), modern terminals are getting increasingly energy hungry. For instance, a single UMTS upload or a video recording process on today´s smartphones may consume as much as 1.5 Watts, i.e. roughly 50% of the maximal device power. In the near future, higher data rates and traffic, advanced media codecs, and graphics applications will ask for even more energy than the battery can deliver. At the same time, the power density limit might lead to a significant share of “Dark Silicon” at 22nm CMOS and below. Obviously, disruptive energy optimizations are required that go well beyond traditional technologies like DVFS (dynamic voltage and frequency scaling) and power-down of temporarily unused components. The GEMSCLAIM project aims at introducing novel approaches for reducing this “greed for energy”, thereby improving the user experience and enabling new opportunities for mobile computing. The focus is on three novel approaches: (1) cross layer energy optimization, ranging from the compiler over the operating system down to the target HW platform, (2) efficient programming support for energy-optimized heterogeneous Multicore platforms based on energy-aware service level agreements (SLAs) and energy-sensitive tunable parameters, and (3) introducing energy awareness into Virtual Platforms for the purpose of dynamically customizing the HW architecture for energy optimization and online energy monitoring and accounting. GEMSCLAIM will provide new methodologies and tools in these domains and will quantify the potential energy savings via benchmarks and a HW platform prototype.
Principal Investigators
Thomas Fahringer (Project Director)

(Project Manager, DCTI)
Project Team
Oana Boncalo, Sebastian Fuicu, Gabriel Garban, Alexandru Amaricai, Razvan Bogdan, Cosmin Cernazanu, Lucian Bara
Project (Grant) Value
1.2M EUR
Project Duration
2012.09.01 - 2015.08.31
Research Fields

ICT-eMuCo: Embedded Multi-Core Processing for Mobile Communicating Systems

ICT-eMuCo addresses the platform architecture of future mobile devices. This comprises the relevant controller elements as well as the operating system and application layers. It is expected that the computational performance needed by these devices will grow exponentially due to the growing number of features implemented and the advances in the wireless communication standards. The fast growing number of applications and the resulting diversification requires a co-existence of open and protected environments.
It is therefore proposed to choose a multi-core architecture to get the best ratio of performance and power consumption while maintaining a high flexibility and scalability in the system through variations in number of cores, cache sizes, clock speeds etc. Existing multi-cores are taken as a starting point for the controller architecture. The actual implementation of e. g. the cache and memory system will be optimised to the specific needs as well as the extension by hardware accelerators for dedicated tasks.
Virtualisation technology will be employed to abstract the applications including potential legacy operating systems from the hardware architecture. This provides the means to separate real-time from non-real-time and secure from open domains. To account for the embedded nature of mobile devices and its limitations in performance and power consumption the virtualisation functionalities are supported by hardware where appropriate.
The awareness for the existence of multi-cores must also arise at the programmer's level. This is taken care of by a model-driven code generation technology based on SDL for typical communications protocol tasks and UML for the application development and modelling.
Principal Investigators
Attila Bilgic (Project Director)

(Project Manager, DCTI)
Project Team

Dacian Tudor, Georgiana Macariu
Project (Grant) Value
4.580M EUR
Project Duration
2008.02.01 - 2010.01.31
Research Fields