Predicting COVID-19-Induced Lung Damage Based on Machine Learning Methods

Programming and Computer Software - In this paper, we consider the course of the coronavirus disease (COVID-19) in human patients. We investigate anamnesis, examination, and clinical analysis data,...     

A New 3-DOF Spatial Parallel Mechanism for Milling Machines with Long X Travel

It is well known that the shape and volume of the workspace are one of the greatest weaknesses of parallel kinematic machine tools (PKM). Hexaglide and Triaglide mechanisms are examples where workspace extension is achieved by elongating one axis as a principal motion axis that is a common feature of all Cartesian machines. With the idea of principal axis of motion in mind, a new 3-DOF spatial parallel mechanism for horizontal and vertical milling machines has been developed. In comparison with similar developed mechanisms it has several advantages such as: rather regular shape of the workspace (slightly modified block) similar to serial machines; greater stiffness by nature of the struts arrangement; good force and speed ratio through the entire mechanism's workspace. The paper describes the structure of the mechanism, modelling approach and simulation on a developed vertical milling machine prototype.     

A novel canonic,bipolynomial analogue filter configuration with a minimum number of common-ground capacitors

We proposed a novel canonic, multiple-loop feedback, bipolynomial analogue filter configuration with a minimum number of common-ground capacitors which contains same-type active functional blocks. A detailed analysis of sensitivity criterion minimization is given and a comparison is made with other filter configurations.     

N-unit parallel redundant system with multiple correlated failures

This paper deals with mathematical models of an N-unit parallel redundant system with one repair facility and multiple correlated failures. These models are generalized on the basis of the results obtained previously and related to a system subject to a process of single failures and double and N-unit correlated failures. The method of the supplementary variable in two models differing by the repair policy is used. We obtain the following results: for both models the stationary availability, and for the second model the Laplace transform (L.T.) of the system reliability, L.T. of the pointwise a vailability, and the mean time to system failure (MTSF).     

Set-up and maintenance of ontologies for innovation support in extended enterprises

The effective generation, sharing and re-use of innovation knowledge play an increasingly crucial role in the competitiveness of industrial enterprises allowing the companies to offer new solutions based on rapidly exploited innovations. As the innovation knowledge is by its nature very unstructured and manifold in its definition, solutions for effective exchange and sharing of such knowledge within collaboration networks of extended enterprises are still missing. This paper presents a set of new methods and IT tools to support efficient and smooth exchange of innovation knowledge in extended and networked enterprises. The methods and tools are based on so-called hybrid approach in definition of ontologies needed as a basis for knowledge sharing within a network of companies. The developed tools enable efficient set-up, harmonisation and maintenance of generic, shared ontologies. The solutions are tested within a large manufacturing enterprise involving several subsidiaries.     

Properties of thermomechanically rolled Nb/Ti microalloyed steel sheets

Structure and mechanical properties of a Nb/Ti microalloyed steel, thermomechanically rolled on a strip-production facility, are evaluated. Small (0.02%) titanium addition to niobium-containing steel is found to increase precipitation while reducing grain-refining potential of niobium. This effect increases with increasing finish-rolling temperature, and is also reflected in an increased charpy energy transition temperature. A reduced tendency for precipitation in a nitrogen-free austenite together with the short interpass times in the finishing train, is assumed to reduce the tendency for pancaking, which is prerequisite for an effective grain refining.     

RASP—A language with operations on fuzzy set

At the Center for Multidisciplinary Studies, University of Belgrade, Yugoslavia, a high level language for easily manipulating fuzzy set operations was developed. In this paper, after a brief introduction to the theory of fuzzy sets, some features and possibilities are described from the user point of view, and an application in picture enhancement is shown. The language presented was written in BASIC, thus any microcomputer, for personal/home use, should be able to execute RASP.     

A distributed and adaptive signal processing approach to exploiting correlation in sensor networks

We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm.¹ While the topic of energy-aware routing to alleviate energy consumption in sensor networks has received attention recently [C. Toh, IEEE Commun. Mag. June (2001) 138; R. Shah, J. Rabaey, Proc. IEEE WCNC, March 2002], in this paper, we propose an orthogonal approach to complement previous methods. Specifically, we propose a distributed way of continuously exploiting existing correlations in sensor data based on adaptive signal processing and distributed source coding principles. Our approach enables sensor nodes to blindly compress their readings with respect to one another without the need for explicit and energy-expensive inter-sensor communication to effect this compression. Furthermore, the distributed algorithm used by each sensor node is extremely low in complexity and easy to implement (i.e., one modulo operation), while an adaptive filtering framework is used at the data gathering unit to continuously learn the relevant correlation structures in the sensor data. Applying the algorithm to testbed data resulted in energy savings of 10–65% for a multitude of sensor modalities.     

A numerical study of a utility boiler tangentially-fired furnace under different operating conditions

For prediction of complex processes in two-phase turbulent reactive flows within large-scale boiler furnaces firing pulverized coal, a comprehensive 3D differential mathematical model and CFD computer code have been developed in-house. The model incorporates trade-offs between submodels sophistication and computational practicality. An easy-to-use interface for introducing input data and grid generation has been build within the code. The main purpose of the paper is to present numerical predictions of processes in the case-study furnace under different operating conditions, obtained by the developed model. The paper also provides information on characteristics and evaluation of the model, with a grid refinement study and comparisons with comprehensive data. The effects of different operating conditions on the processes in the case-study furnace are correctly predicted, demonstrating the ability of the developed model to perform parametric studies.