Zbigniew Kulesza

Automated stand for thermal characterization of electronic packages

This paper presents the design and the practical realization of a measurement stand dedicated to thermal characterization of electronic packages. The standard Dual Cold Plate (DCP) solution is enhanced with the Peltier Thermo-Electric Modules (TEMs) and a tensometer bridge. The TEMs are automatically controlled by a special circuit so as to provide either constant case temperature or constant thermal resistance to ambient. The tensometers are used to assure parallel alignment of the layers and to adjust contact thermal resistance between them. The realized stand is thoroughly tested and verified during the measurements of a power diode.

Automatic people identification on the basis of iris pattern - extraction features and classification

In this paper an attempt to design decision part of the iris identification system, which will be able to identify persons just by a look at the camera, is discussed. Proposed system will be cheap in comparison with present ones. Modified Haralicks co-occurrence method with multilayer perceptron is used for extraction and classification of the irises. Some preliminary research results are also presented.

Implementation Of Bayesian Network In FPGA Circuit

The paper presents a novel approach to the implementation of Bayesian network - an implementation in an FPGA circuit. The opportunities and problems connected with the parallel-processing approach of the FPGA circuit are discussed. Modifications of the computation algorithm that are needed due to limited computational capabilities are described. Details of the construction of the main computational blocks are also depicted

Real-time prediction of acute cardiovascular events using hardware-implemented Bayesian networks

This paper presents a decision support system that aims to estimate a patient׳s general condition and detect situations which pose an immediate danger to the patient׳s health or life. The use of this system might be especially important in places such as accident and emergency departments or admission wards, where a small medical team has to take care of many patients in various general conditions. Particular stress is laid on cardiovascular and pulmonary conditions, including those leading to sudden cardiac arrest. The proposed system is a stand-alone microprocessor-based device that works in conjunction with a standard vital signs monitor, which provides input signals such as temperature, blood pressure, pulseoxymetry, ECG, and ICG. The signals are preprocessed and analysed by a set of artificial intelligence algorithms, the core of which is based on Bayesian networks. The paper focuses on the construction and evaluation of the Bayesian network, both its structure and numerical specification.

Automatic people identification on the basis of iris pattern - image processing and preliminary analysis

People identification gains more importance in life and consequently more concern in science. This paper tries to present a simple way to solve the problem through a basic analysis of the human iris. Main predicaments and strategies to overcome them are outlined and a direction of future activities leading to a complete and simple identification system is pointed out.

Active control of boundary conditions for dynamic thermal characterization of electronic components

This paper presents a practical realization of the system for the active control of boundary conditions during the dynamic thermal characterization of electronic components. The control of boundary conditions is exercised by the dual cold plate cooling assembly equipped with Peltier thermo-electric modules and an appropriate control circuit. Additionally, a tensometer bridge is used to assure the parallel alignment of surfaces and to adjust the contact thermal resistance between particular layers. The operation of the entire control system is illustrated based on a practical example where Peltier module currents are adjusted in real time so as to impose isothermal or constant heat flux boundary conditions on a power diode package surface during measurements performed with time varying power dissipation in the device.

Distributed network of remote sensors for real time prediction of hot spot temperature values

This paper presents a practical realization of an on-chip sensor network capable of monitoring an integrated circuit temperature in real-time. The main novelty consists in the fact that the hot spot temperature is estimated based on remote sensor measurements employing an inverse algorithm developed expressly to detect fast thermal transients. The operation of the algorithm is demonstrated not only on the simulated data but also on the measurements of a real integrated circuit equipped with distributed networks of temperature sensors and transistor heat sources. The measurement results can be processed either directly on-chip in the digital filter implementing the inverse algorithm or in the external signal processor connected to the analog sensor outputs.

Decision Support System for Real-Time Monitoring of Patients with Cardiovascular Risks

This paper presents decision support system for estimation of patient’s general state with particular stress laid on cardiovascular and pulmonary diseases. It works in conjunction with a standard medical monitor, which provides input signals such as temperature, blood pressure, pulseoxymetry, ECG, ICG, etc. The signals are preprocessed and analysed by a set of algorithms, the core of which is based on Bayesian networks. As an output the system should give information about detected problems, possible future threats, possible causes and suggestions for further treatment. From the hardware point of view the system is implemented in DaVinci DM3730 embedded microprocessor. Use of the presented system might be especially important in places such as Accident Emergency Departments and Admission Rooms, where small medical team has to take care of many patients in various general conditions.

System for Estimation of Patient’s State – Discussion of the Approach

This chapter presents work on a diagnosis support system with continuous estimation of a sudden cardiac arrest risk. The concept is based on the analysis of the signals received on line from a medical monitor, possibly augmented by clinical data. The need for such solution is motivated and existing approaches towards quantitative estimation of patient’s health are examined. An overview of the system and its building blocks are presented, which allows to define the requirements for the hardware platform and operating system. A discussion follows, explaining the choice made. The design of communication path between the medical monitor decided upon and the discussed system is explained. The prototyping microprocessor board being used is presented, together with detailed description of steps which lead to the development of a fully-featured Linux distribution for this board.

Influence of boundary conditions on thermal RC ladder model element values

This paper presents an experimental study aimed at the investigation of the influence of boundary conditions on the element values of compact thermal models generated in the form of Cauer RC ladders. Particular attention is paid to the analysis of the impact of variable boundary temperature. The considerations are illustrated based on the experimental results obtained for a discrete silicon carbide power device.