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Dams are very important economical and social structures that have a great impact on the population living in surrounding area. Dam surveillance is a complex process which involves data acquisition and analysis techniques, implying both measurements from sensors and transducers placed in the dam body and its surroundings, and also visual inspection. In order to enhance the visual inspection process...
This paper intend to introduce a new concept of federative SCADA systems based on cooperative systems, which assure not only the functionally augmentation of individual system by integration, but ensure the global tasks of the federation as required by the envelope model. It presents the concept, the structure of the federation, the services offered and their analysis. The federation addresses different...
The monitoring and behavioral prediction of the hydrodams and hydrotechnical sites relies on the analysis of some objective information, the large number of sensors and examination modalities renders the human inspection of this information very difficult if not even impossible. The main objective of system is to provide a solution to overcome this problem through the development of a decision support...
Hydro-dams safety represents an important concern since their failure could be critical for the society. A key part of the hydro-dams surveillance programs is their visual inspection. However few computer vision support tools for implementing semi-automatically and objectively the visual surveillance and observation of the hydro-dams components exist. One of the issues addressed during the visual...
In this paper we describe an integrated mobile system applicable in emergency medicine, able to provide tele-healthcare services and remote transfer of medical data in order to ensure triage, early accurate diagnosis and treatment in case of major trauma. The main goal of the project is to develop tools for performance enhancement of emergency medical services, based on the FAST (focused assessment...
Hepatocellular carcinoma (HCC) is one of the neoplasic diseases that meet the requirements to become the target of surveillance in a screening program: it is a frequent condition; it has a high rate of mortality; it affects a very well defined at risk population (chronic liver diseases patients). This population can be closely followed-up using an ultrasonography method (US). Therefore, the improvement...
This paper proposes a classification scheme of prostate cancer patients based on support vector machines (SVM) classifiers that allow including the diagnosed prostate cancer patients into risk classes, before performing radical prostatectomy, according to their medical parameters. Our objective is to assess the use of SVM in order to predict the individual result of radical prostatectomy performed...
The balanced scorecard concept, developed in 1992 by Robert S. Kaplan and David P. Norton, became one of the most expedient management approaches on international scale. At the highest conceptual level, balanced scorecard is defined as being a "frame that helps the organizations to transpose the strategy into operational objectives, in order to direct both the organization performance and behavior"...
The goal of this paper consists in a presentation of a telemedicine system architecture applicable in emergency and disaster medicine achieved through a benchmarking between cooperative robotics technique and the mobile intervention units reaction in case of human emergency or disaster appearance. The paper presents an innovative method of assistance, gridiron and guiding patients to the most adequate...
This paper presents a software application that allows the management and analysis of the multimodal parameters used in early diagnosis of prostate cancer. The information system includes a complex medical database, containing clinical, histological, biological, and imaging parameters, and a dedicated software tool for prostate ultrasound image processing and analysis
Ultrasound imaging monitor of tumor angiogenesis and vascular evolution under chemotherapy is a major preoccupation in oncology medicine, where, combined with the practical experience of the medical personnel, dedicated software tools play a vital role. In this paper we present a software application with the purpose to assist specialized medical personnel to locate and classify tumors, based on ultrasound...
Underwater images analysis is a difficult task due to their specific attributes: weak and variable lighting, low contrast, blurring. Therefore powerful image analysis algorithms, application specific, must be employed to obtain good results. In this paper we propose such a novel architecture based on a support vector machine (SVM) classifier, dedicated to large underwater scenes analysis for the specific...
Neoplasic diseases are widely recognized as extremely disabling, requiring in advanced stages a large amount of medical, technical, and financial support and, eventually, leading to death. This is why it is recommended to early diagnose them, gaining time for proper care and/or cure. Hepatocellular carcinoma (HCC) is one of these neoplasic diseases, accomplishing the requirements to become the target...
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