BrainMap

Constantin-Lucian Aldea

- UNIVERSITATEA TRANSILVANIA BRASOV

Teaching staff

Expertise & keywords

Improving the technology of mechatronic multispectral system to increase capture performance of vegetative parameters in the context of climate changes Call name: P 2 - SP 2.1 - Transfer de cunoaștere la agentul economic „Bridge Grant”
PN-III-P2-2.1-BG-2016-0132 2016 - 2018

Role in this project:

Coordinating institution: UNIVERSITATEA TRANSILVANIA BRASOV

Project partners: UNIVERSITATEA TRANSILVANIA BRASOV (RO); INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU CARTOF SI SFECLA DE ZAHAR-BRASOV (RO); DRIFT DATA SYSTEMS SRL (RO)

Affiliation: UNIVERSITATEA TRANSILVANIA BRASOV (RO)

Project website: http://old.unitbv.ro/dpm/CercetareStiintifica/Sistememecatroniceavansate/Proiect%E2%80%9EBridgeGrant%E2%80%9DMultiCanSPEC.aspx

Abstract:

The project addresses environmental and climate changes field, offering an extremely important instrument for the vegetation status monitoring. Today, agriculture faces major challenges as: increasing food demand, climate changes, environmental and economic issues. The experience and expertise of farmers are often overtaken by the conditions in continuous change. In this context the technology, which is the project subject, proves its usefulness through an innovative approach meant to assure the removal of the current limitations, by improving existing solutions and developing an integrated system covering the key areas of precision agriculture management.

The project aims to improve the technology of the hexaspectral mechatronic system, which belongs to the economic agent, through advanced methods and processes, in order to increase its performances in capturing the vegetative parameters in the context of climate changes.

The specific objectives are based on a number of three identified needs and consists of: improving the HexaSPEC system technology by identifying and adapting new CMOS sensors and increasing the number of capture channels; optimizing the image alignment and synchronizing the sensor data acquisition by creating a unique optical assembly; automating the image processing flow and improving the existing software with new functionalities by integrating new methods and techniques for the collected data processing. The goals achievement is possible by fitting the project partners’ expertise into the industrial needs, namely precision agriculture in multi and trans-disciplinary areas. The partnership between the university, the research institute and the economic agent develops the cooperation between research entities and the economic environment and contributes to the knowledge transfer.

Design, Implementation and Testing of a Mechatronic System for Multispectral Monitoring of Crops Vegetation Status – MoniCult Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-1629 2014 - 2017

Role in this project:

Coordinating institution: UNIVERSITATEA TRANSILVANIA BRASOV

Project partners: UNIVERSITATEA TRANSILVANIA BRASOV (RO); INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU CARTOF SI SFECLA DE ZAHAR-BRASOV (RO); UNIVERSITATEA TEHNICA DIN CLUJ - NAPOCA (RO); HIBRIDUL S.A. (RO)

Affiliation: UNIVERSITATEA TRANSILVANIA BRASOV (RO)

Project website: http://www.unitbv.ro/dpm/CercetareStiintifica/C04Sistememecatroniceavansate/ProiectParteneriate-MoniCult.aspx

Abstract:

Climate, economic and anthropic changes (pressure exerted by human activities on agrosystems - biodiversity loss and environmental pollution) led to alterations in the stability of agricultural systems, increasing their vulnerability and therefore reducing food safety and security.

Crop management, under new conditions created in the last period, increasingly requires monitoring of the soil resources and dynamics of crop vegetation status, for real time interventions regarding the precise allocation (localized and economic) of technological inputs (fertilizers, pesticides etc.).

In this context, the project proposal entitled "Design, Implementation and Testing of a Mechatronic System for Multispectral Monitoring of Crops Vegetation Status – MoniCult" it constitutes an efficient and effective tool for implementing the concept of precision agriculture as part of the sustainable agriculture.

Precision agriculture management considers, among other things, also the monitoring of the crops vegetation status. This is done by calculating and interpreting vegetation indices based on spectral data collected by specialized acquisition systems.

Vegetation indices are correlated with the degree of plant health and development. Information about thermal and water stress, pests and so on, of the utmost importance for timely intervention in all that means the need for water, pesticide and fertilizer to be supplied at the proper time, in the necessary quantity and in the adequate place, leading to a major economic and environmental protection impact.

Products developed under this project are the result of complementarities and synergies of the research and implementation teams that form the consortium: Acquisition, Processing, Storage and Transmission System for Multispectral Information (APSTSMI), an innovative system that provides the basic tool for field data collection, Multispectral Terrestrial Mobile Mechatronic System (MTMMS), and Multispectral Autonomous Aerial Mobile Mechatronic System (MAAMMS) – consisting of mechanical components, electronics and software, starting from simple elements, providing a solution for farmers with limited financial possibilities, and reaching at a “jewel” of the art technology that is the drone, for monitoring the vegetation state of the crops. To these products, the Innovative Technology for Multispectral Monitoring of the Vegetation Status of Crops (ITMMVSC) is added, based on artificial intelligence techniques, containing GIS elements on which agricultural information is overlapped, offering through a friendly user graphical interface, a valuable decisional tool in what means today precision crop management.

Such a complex project could not be addressed individually by any of the partners. The skills and the expertise of a National Agricultural Research Institute (P1) regarding multispectral information for the precision management are valorised by designing and implementing by the other two partners (CO and P2) of some mechatronic system models (terestrial and aerial) which allow the dynamic data aquisition and their interpretation using a Decision Support System. The role of testing and validation of results is the responsibility of partner P3 (SME), which assures the implementing of management at the farm level, organizing and conducting of demonstration crops, monitoring of the crop vegetation status, ensuring so the most significant pole of dissemination of the innovative solutions offered by the project.

The impact of precision agriculture management implementation is focused on obtaining large productions and quality, on optimizing the economical profits, achieving of an integrated environmental protection and increasing of the sustainability of agricultural systems. All of these lead to a significant improvement of our life quality.

High-PErformance Computing of PersonAlized CaRdio-Vascular ComponenT Models Call name: Joint Applied Research Projects - PCCA-2011 call, Type 2
PN-II-PT-PCCA-2011-3.2-1229 2012 - 2016

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA TRANSILVANIA BRASOV

Project partners: UNIVERSITATEA TRANSILVANIA BRASOV (RO); SIEMENS SRL (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); SPITALUL CLINIC DE URGENTA (RO)

Affiliation: UNIVERSITATEA TRANSILVANIA BRASOV (RO)

Project website: http://heart.unitbv.ro

Abstract:

The incidence of premature morbidity and mortality for Coronary Artery Disease patients is still very high,the main reason being the lack of accurate in-vivo and in-vitro patient-specific estimates for diagnosis and progression of the disease.For example,in the case of coronary stenosis, accurate estimates of the anantomy as seen in the diagnostic images,can vastly underestimate or overestimate the severity of the blockage.For a functional assessment of such a blockage,analysis of the subsequent disease progression and assessment of the best intervention/surgical option for an individual patient,it is important to incorporate multi-faceted information from the hemodynamics and cellular mechanisms from multiple scales.Incorporating such multi-scale information in a complex computational model has been difficult in the past due to the high computational demands therefore it is important to enable such simulations on High Performance Computing(HPC)platforms.

HEART wants:

-To develop,integrate and validate patient-specific multi-scale computational models with high predictive power for coronary circulation in healthy and diseased vessels:

•Comprehensive modeling of the anatomical,hemodynamic and cellular phenomenon in coronary circulation

•Efficient multi-scale coupling with the state-of-the-art heart models for advanced patient-specific simulations

•Assessment of functional parameters and subsequent validation of the models.

-To improve the clinical management of coronary artery disease by leveraging the computational models to create specific therapeutic interventions:

•Simulation based methods for intervention planning(virtual stenting, angioplasty and Coronary Artery Bypass Graft) using computational models.

•HPC architecture for efficiently addressing the multi-scale complexity, a critical requirement for translation into clinical decision making; Comparative analysis of the potential implementations: GPUvsCluster based platforms.

FILE DESCRIPTION	DOCUMENT
List of research grants as project coordinator
List of research grants as partner team leader
List of research grants as project coordinator or partner team leader
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects