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Herbal medicines can be used in treating health conditions under qualified medical observation. Various advantages are perceived by many consumers as being associated with using herbal medicines compared to conventional pharmaceutical products, such as the reduced risk of side effects, effectiveness with chronic conditions, lower cost and large availability, although robust evidence supporting such...
Today digital medical imaging starts to be more introduced in the daily practice for clinical, educational, research uses. The work reported in this paper is done within the context of the Research Project UEFISCDI No. 31/2014, “AIMMS - Application for Using Image Data Mining and 3D Modeling in Dental Screening”. AIMMS provides an integrated platform to support dental treatment methods using the most...
The opportunities offered by mobile technology continue to expand with the advances in wireless broadband. These days there are a lot of entrenched business solutions, upgraded for mobile devices, which likewise have direct use to services of the government services, work environment practices and involvement of stakeholders. Each advance has challenges. The usage of M-Government will bring several...
i-Light is a home-monitoring system that enables a pervasive, seamless, and inexpensive monitoring scheme. It is researched and implemented as part of a European Union funded project and it will achieve pervasive monitoring by means of a novel energy efficient luminaire equipped with an embedded sensing, indoor localization and communications electronic system, luminaire that is developed as part...
This paper is made within the context of the research UEFISCDI project no. 31/2014, “AIMMS — Application for Using Image Data Mining and 3D Modeling in Dental Screening”. The project is interdisciplinary and wants to build a system framework composed of several sub-systems: dental pathology recognition part, 3D printing part, user interface part. The main emphasis of this article regards the pathology...
In this paper, we explore the possibilities to detect and label straightforward the teeth in Cone Beam Computed Tomography images, without performing complex segmentation procedures on teeth. We are using the Circular Hough Transform (CHT) to find the teeth positions, segmentation using intensity level to determine the mandible and deformable templates to find the best fit position for the teeth on...
Edge detection is an important task in image processing, many times as part of the segmentation process. When segmentation is performed in medical imaging, one of the preferred tools is neural networks, because of their capabilities of adaptive learning and non-linear mapping. We present in this paper the neural network tools used for edge detection and we propose one that is able to perform edge...
Molecular dynamics (MD) studies the structure of molecular systems which are subject to certain constraints and forces. The simulation of particles is a tool for examining atomic systems during a period of nanoseconds in which the trajectory of atoms and the state of the system is analyzed. GROMACS is a package which supports molecular dynamics simulations and energy minimization, being started the...
The algorithm described in this paper is part of a program supporting the process of teeth contour detection, segmentation and 3D reconstruction. The data is taken from dental conical tomographies. Automatic contour detection starts by filtering the image according to an adaptive threshold. The region of interest is established and the tooth contour is determined using the possible edge directions...
Cone Beam Computed Tomography (CBCT) is one of the favorite imaging technologies in dentistry because if offers 3D images in conditions of reduced irradiation. High quality 3D imaging is essential for first-rate diagnostic and treatment, despite the rather low quality images, with low contrast and high noise. The paper presents an automatic method for 3D reconstruction of the oral cavity. We analyze...
We present in this paper a fast method for the reconstruction of the dental 3D structure using the images obtained from Cone Beam Computed Tomography (CBCT). A high-quality visualization of the dental tissues, including 3D reconstruction, is essential for the accurate diagnosis and treatment in dentistry. The segmentation for the dental CBCT images presents several major problems because of the noisiness...
We will present in this paper a method for the reconstruction of the oral 3D structure using Computed Tomography (CT) sections obtained from Cone Beam Computed Tomography (CBCT). A high-quality visualization of the dental tissues, based nowadays on fine 3D reconstruction, is essential for accurate diagnosis and treatments. Dental CBCT images present several major problems because of the noisiness...
Complex-Valued Neural Networks (CVNNs) are Artificial Neural Networks (ANNs) which function using complex numbers - they have complex-valued parameters and accept complex-valued inputs. Phase-Based Neurons (PBNs) are simple CVNNs that use for the internal weights complex numbers with the modulus 1, the only adaptable parameters being the phases of the weights. We present in this paper some limitations...
In this paper we analyze the performance of several methods for classification applied to the Romanian blogosphere. Blogs are difficult to categorize by humans and machines alike, because they are written in a changeable style. In the early days of web, directories maintained by humans could not keep up millions the websites; likewise, blog directories cannot keep up with the explosive growth of the...
This paper offers details on a particular type of Complex Valued Neural Networks, which are Artificial Neural Networks that accept complex-valued inputs and use complex numbers for the values of the internal parameters. The functioning in the complex numbers domain grants CVNNs more computational power than classical ANNs. Phase-Based Neurons (PBNs) are simple CVNNs which use for the internal weights...
The paper presents the implementation and usage of a Knowledge Management (KM) system for an industrial holding of Small and Medium Enterprises (SMEs). It pursues the application of service oriented architecture to business interaction across collaborative SMEs in virtual enterprise environment. The work analyses the KM system and proposes a KM scenario to support knowledge applications (KApps) development...
Complex-Valued Neural Networks are extensions of the classical Neural Networks. They have complex-valued weights, accept complex inputs and have more computational power than the classical ones. We discuss in this paper the training for Phase-Based Neurons, neural processing elements similar to Universal Binary Neurons, that uses as weights and bias complex numbers with unit magnitude, the phase being...
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