Implementation of a Synchronized Oscillator Circuit for Fast Sensing and Labeling of Image Objects

We present an application-specific integrated circuit (ASIC) CMOS chip that implements a synchronized oscillator cellular neural network with a matrix size of 32 × 32 for object sensing and labeling in binary images. Networks of synchronized oscillators are a recently developed tool for image segmentation and analysis. Its parallel network operation is based on a “temporary correlation” theory that attempts to describe scene recognition as if performed by the human brain. The synchronized oscillations of neuron groups attract a person’s attention if he or she is focused on a coherent stimulus (image object). For more than one perceived stimulus, these synchronized patterns switch in time between different neuron groups, thus forming temporal maps that code several features of the analyzed scene. In this paper, a new oscillator circuit based on a mathematical model is proposed, and the network architecture and chip functional blocks are presented and discussed. The proposed chip is implemented in AMIS 0.35 μm C035M-D 5M/1P technology. An application of the proposed network chip for the segmentation of insulin-producing pancreatic islets in magnetic resonance liver images is presented

A three layer model for thermal impedance of the human skin: modelling and experimental measurements

In this paper a dynamic three layer model for the heat transfer in the human skin is presented. The model is solved in the Laplace domain using the phasor notation. In order to compare the theoretical model with experimental results, a transient heating was carried out and the time dependent skin temperature was recorded with a thermographic camera. The transient temperature could be fitted very well to an analytical function, which could easily be transformed into the Laplace domain allowing an easy comparison between the model and the experimental results. The aim of the research is to evaluate the skin thermal parameters for all layers including the blood perfusion

Texture analysis methods -- a review

Methods for digital-image texture analysis are reviewed based on available literature and research work either carried out or supervised by the authors. The review has been prepared on request of Dr Richard Lerski, Chairman of the Management Committee of the COST B11 action “Quantitation of Magnetic Resonance Image Texture”

Computational Fluid Dynamics as an Engineering Tool for the Reconstruction of Hemodynamics after Carotid Artery Stenosis Operation: A Case Study

Background and objectives: Brain ischemic stroke is caused by impaired or absolutely blocked blood flow into the brain regions. Despite the large number of possible origins, there is no general strategy for preventive treatment. In this paper, we aimed to predict the hemodynamics in a patient who experienced a critical stenosis operation in the carotid artery. This is a unique study where we used medical data together with the computational fluid (CFD) technique not to plan the surgery, but to predict its outcome. Materials and Methods: AngioCT data and blood perfusion of brain tissue (CT-perfusion) together with CFD technique were applied for stroke formation reconstruction in different clinical conditions. With the use of self-made semiautomatic algorithm for image processing and 3DDoctror software, 3D-vascular geometries before and after surgical intervention were reconstructed. As the paper is focused on the analysis of stroke appearance, apparent stroke was simulated as higher and lower pressure values in the cranial part due to different outcomes of the surgical intervention. This allowed to investigate the influence of spatial configuration and pressure values on blood perfusion in the analyzed circulatory system. Results: Application of CFD simulations for blood flow reconstruction for clinical conditions in the circulatory system accomplished on average 98.5% and 98.7% accuracy for CFD results compared to US-Doppler before and after surgical intervention, respectively. Meanwhile, CFD results compared to CT-perfusion indicated an average 89.7% and 92.8% accuracy before and after surgical intervention, respectively. Thus, the CFD is a reliable approach for predicting the patient hemodynamics, as it was confirmed by postoperative data. Conclusions: Our study indicated that the application of CFD simulations for blood flow reconstruction for clinical conditions in circulatory system reached 98% and 90% accuracy for US-Doppler and CT-perfusion, respectively. Therefore, the proposed method might be used as a tool for reconstruction of specific patients’ hemodynamics after operation of critical stenosis in the carotid artery. However, further studies are necessary to confirm its usefulness in clinical practice

РЕАЛІЗАЦІЯ КОНЦЕПЦІЇ SMART GRID ЗА РАХУНОК ВИКОРИСТАННЯ ПРОГРАМ З КЕРУВАННЯ ПОПИТУ І СУЧАСНИХ СИСТЕМ СИЛОВОЇ ЕЛЕКТРОНІКИ

Modern trends in electricity supply grids aimed on intellectualization of existing grids, energy supply and creating Smart Grid systems to ensure a high level of reliability and power quality. As part of the Smart Grid concept demand side management programs play an important role in solving technical and technological problems in concept implementation process. The grid must implement a catena of demand side management programs by providing various services according to the situation, requirement contracts, forecasting of consumption/demand and collect information about energy savings. This requires the study of existing and development of new programs. According to traditional grid in Smart Grid transformation appears the wide-spread use of modern power-electronic installations in electrical power grids. Research of existing models and structures provide base for installations improvements and trends understanding. Proposed practical solutions for power electronics arrangements, either dedicated or capable of adaptation to the distribution systems.Сучасні тенденції в мережах електропостачання спрямовані на інтелектуалізацію існуючих мереж енергопостачання та створення систем Smart Grid для забезпечення високого рівня надійності та якості електроенергії. В рамках програм з керування попитом, концепція Smart Grid відіграє важливу роль в рішенні технічних і технологічних проблем в процесі реалізації даної концепції. Мережа електропостачання повинна реалізувати низку програм керування попитом шляхом надання різних послуг в залежності від ситуації, вимог контрактів, прогнозування споживання / попиту і наявної інформації про рівень економії енергії. Це вимагає детального аналізу існуючих і розробки нових програм. Згідно концепції Smart Grid все більшого використання в розподільних мережах отримують сучасні устаткування силової електроніки. Дослідження існуючих моделей і конструкцій забезпечують базу для удосконалення існуючих конфігурацій та розуміння сучасних тенденції в галузі