DATA PROCESSING BY END DEVICES IN IoT SYSTEMS
This paper presents a correlation method for processing data on end devices and reducing
the amount of data transmitted over the network. Instead of expensive and complex network
devices, developers can use cheap and proven low-speed Internet of Things (ZigBee, NB IoT,
BLE) solutions for data transfer. The novelty lies in one of the features of this approach: the use
of components for analysis, rather than a complete copy of the signals, as well as processing
directly on the sensor. The advantage of this approach allows you to reduce the number of
operations and complexity of implementation, in contrast to other methods focused on the
cloud computing paradigm. We provide results for correlation values and the number of logical
elements (LE) when implemented on the FPGA, depending on the number of elements in the
correlator. This allows to maintain a balance between the required calculation accuracy and
spent hardware resources, as well as to simplify the end device.
This paper presents a method and computational technology for forecasting ambulance trips. We used statistical information about the number of the trips (per day or per night) in 2009-2013, the meteorological archive, and the corresponding archive of the meteorological measurements and meteorological forecasts for the same period. We take into account both social and meteorological predictors simultaneously. The impact of the meteorological factors (both climatic and short range lead times) into the statistics may be significant for some diseases. We present also the errors of these forecasts and demonstrate that the quality of our weather forecasts for the lead times 1- 3 days is good for the forecasting the number of ambulance trips.
The method may be used operatively for planning and control in the ambulance service. It may be applied for all trips and for specific subgroups of diseases. The method and the technology may be applied for any megalopolis if the corresponding medical and meteorological information is available.
Measuring indirect importance of various attributes is a very common task in marketing analysis for which researchers use correlation and regression techniques. We have listed and illustrated some common problems with widely used latent importance measures. A more theoretically sound approach - the Shapley Value decomposition - was applied to a rich data set of US internet stores. The use of store-level data instead of respondent-level data allowed us to reveal the factors, which are powerful in explaining, why some stores have higher rates of willingness to make repeat purchases than the others. By confronting the indirect importance and performance measures for three different internet stores, we have revealed strengths, weaknesses, attributes that the company should bring customers' attention to and attributes that do not require immediate improvement.
The 30th DAAAM International Symposium on Intelligent Manufacturing and Automation took place in Zadar, Croatia between the 21th and 26th October 2019, during the DAAAM International Week. The Symposium was organized by DAAAM International Vienna in cooperation with ÖIAV-1848, Technical University of Vienna (TU Wien), International Academy of Engineering and University of Applied Sciences Technikum Wien and Under the Auspices of the Danube Rectors’ Conference & Rectors’ and Presidents’ Honor Committee of DAAAM International for 2019. The Symposium took place in Zadar, Croatia. This year symposium aimed at continuing the success of the previous year's focusing on the five-fold traditional objectives of the symposium: the presentation of the most recent high-quality results, support of development of young scientists and researchers, organization of international (summer) doctoral school, inauguration of new members of Central European Branch of International Academy of Engineering and the provision of the necessary setting for stimulating discussions, brainstorming and networking among European and international researchers coming both from the academia government agencies and industry.
This proceeding contains 168 refereed papers from more then 400 authors presented at the 30th DAAAM International Symposium 2019. All the papers included in these proceedings are reviewed by the experts in double blind peer review way, and finally revised by the authors for the improvement according to referee’s reports and advices.
The papers discuss many aspects of modern manufacturing and automation such as: Algorithms, Artificial Intelligence, CAX, Computer Integration, Control, Cutting Tools, Design, FEM, Invited Lectures, Knowledge, Management, Manufacturing System, Mechatronics, Methodology, Methods, Modelling, Optimization, Robotics, Simulation, Technical Solutions, Technology and Trends.
The paper describes basic methods of data compression without loss and analyzes their advantages and disadvantages. There is a hardware implementation on FPGA of compression algorithm for stream processing of information. This algorithm can be used in applications related to telecommunications networks of distributed control systems.
The paper covers mathematical and heuristic approaches for solution the image restoration problem. Attention is paid to the least squares method, least absolute deviations, Tikhonov regularization, total variation, Wiener and Kalman filters, as well as matched filter. A description of a new method for constructing the maximum likelihood estimate is given. Such heuristic approaches as the non-local means, block-matching and 3D filtering, K-SVD were also considered.
A simple measure of similarity for the construction of the market graph is proposed. The measure is based on the probability of the coincidence of the signs of the stock returns. This measure is robust, has a simple interpretation, is easy to calculate and can be used as measure of similarity between any number of random variables. For the case of pairwise similarity the connection of this measure with the sign correlation of Fechner is noted. The properties of the proposed measure of pairwise similarity in comparison with the classic Pearson correlation are studied. The simple measure of pairwise similarity is applied (in parallel with the classic correlation) for the study of Russian and Swedish market graphs. The new measure of similarity for more than two random variables is introduced and applied to the additional deeper analysis of Russian and Swedish markets. Some interesting phenomena for the cliques and independent sets of the obtained market graphs are observed.
Measuring indirect importance of various attributes is a very common task in marketing analysis for which researchers use correlation and regression techniques. We have listed and illustrated some common problems with widely used latent importance measures. A more theoretically sound approach – the Shapley Value decomposition – was applied to a rich data set of US internet stores. The use of store-level data instead of respondent-level data allowed us to reveal the factors, which are powerful in explaining, why some stores have higher rates of willingness to make repeat purchases than the others. By confronting the indirect importance and performance measures for three different internet stores, we have revealed strengths, weaknesses, attributes that the company should bring customers’ attention to and attributes improvement of which is not of a high priority.
Generalized error-locating codes are discussed. An algorithm for calculation of the upper bound of the probability of erroneous decoding for known code parameters and the input error probability is given. Based on this algorithm, an algorithm for selection of the code parameters for a specified design and input and output error probabilities is constructed. The lower bound of the probability of erroneous decoding is given. Examples of the dependence of the probability of erroneous decoding on the input error probability are given and the behavior of the obtained curves is explained.
The dynamics of a two-component Davydov-Scott (DS) soliton with a small mismatch of the initial location or velocity of the high-frequency (HF) component was investigated within the framework of the Zakharov-type system of two coupled equations for the HF and low-frequency (LF) fields. In this system, the HF field is described by the linear Schrödinger equation with the potential generated by the LF component varying in time and space. The LF component in this system is described by the Korteweg-de Vries equation with a term of quadratic influence of the HF field on the LF field. The frequency of the DS soliton`s component oscillation was found analytically using the balance equation. The perturbed DS soliton was shown to be stable. The analytical results were confirmed by numerical simulations.
Radiation conditions are described for various space regions, radiation-induced effects in spacecraft materials and equipment components are considered and information on theoretical, computational, and experimental methods for studying radiation effects are presented. The peculiarities of radiation effects on nanostructures and some problems related to modeling and radiation testing of such structures are considered.
This volume presents new results in the study and optimization of information transmission models in telecommunication networks using different approaches, mainly based on theiries of queueing systems and queueing networks .
The paper provides a number of proposed draft operational guidelines for technology measurement and includes a number of tentative technology definitions to be used for statistical purposes, principles for identification and classification of potentially growing technology areas, suggestions on the survey strategies and indicators. These are the key components of an internationally harmonized framework for collecting and interpreting technology data that would need to be further developed through a broader consultation process. A summary of definitions of technology already available in OECD manuals and the stocktaking results are provided in the Annex section.