Specifics and Vulnerabilities of the Timing Control in Cyber-Physical Systems

Cyber-physical systems integrate powerful computing (real-time embedded system, operating system, applications, and Internet networking) and physical environment (advanced manufacturing cells, medical platforms, energetics aggregates, social and educational control). The reliable functionality depends extremely on the correct timing. Wrong timing because of buried malfunction or external tampering could be critical. The paper is some analysis of the vulnerable timing parameters that influence the precise processing. Expert estimation of the criticality of different timing parameters is given to support fault-tolerant design considering possible failures.

Development of an Information Model for the Personality’s Social Portrait Formation Using OSINT Technology

The results of the development of an information model for the personality’s social portrait formation are presented. The modelling has been carried out using OSINT technology that is the technology of legal obtaining and using open source information. In the result of the analysis, it has been found out that the social portrait is a heterogeneous semantic network consisting of personalized data. It has been defined that people organize formal and official communities of various orientations and the number of such communities associated with a particular person is practically unlimited. When formalizing the decision-making process, the concept of a group social portrait (GSP) has been introduced, which takes into account the community’s social tendencies united by certain common properties, group members' interpersonal interactions and their behavioural patterns. The obtained information models of personal and group social portraits let to take into account all the main properties of the objects under study, their tonality and significance, as well as to conduct an analysis of the implicit dependencies determination. The next step is to move on to considering the diversity of the digital social environment elements.

Overview of Network-based Methods for Analyzing Financial Markets

Network based methods are suitable for the analysis of a large number of financial time series and a better understanding of their interdependencies. Known approaches to reveal the underlying information about the complex structure of these interdependencies include network-wise and vertex-wise measures of the topology, as well as filtering techniques relying on minimum spanning trees, planar graphs, or spectral analysis. The aim of this study is to review relevant graph theoretical and statistical models and techniques for generating and examining the properties of financial networks, obtained by computing time series correlations or causality relationships. In particular, this study reviews literature discussing the time evolution of the observed phenomena from a network perspective, as well as applications in economy and finance, ranging from risk and diversification, through policy making and better understanding crisis impact, to forecasting. The information synthesized in this paper can be useful to gain further insights into this relatively new research area.

Widget Transactions Dynamic Processing Architecture Development

The article is devoted to the development of a widget's dynamic transaction processing architecture. An object is a hierarchical widget in a user interface organization. The subject is the process of the dynamic processing of widget transactions. The purpose of the article is to develop a dynamic transaction processing architecture) for a hierarchical widget. The article discusses the construction of a complex structured user interface in applications that are built on the basis of event-oriented programming. The article discusses the use of hierarchical widgets in companies such as Microsoft and Google, as well as existing developments related to hierarchical widgets. The main components of the dynamic processing of widget transactions, the main objects of the dynamic model are determined. A hierarchy of objects of the dynamic model of transaction processing of the widget is proposed. To interact with the dynamic model and its graphical representation, a special graphical notation is proposed. Dynamic processing of widget transactions is a new approach that has its advantages and disadvantages, the class of tasks being solved. The proposed architecture combines both work with unstructured data and the use of a hierarchical data model.

OVERVIEW OF NETWORK-BASED METHODS FOR ANALYZING FINANCIAL MARKETS

Network based methods are suitable for the analysis of large number of financial time series and the better understanding of their interdependencies. Known approaches to reveal the underlying information about the complex structure of these interdependencies include network-wise and vertex-wise measures of the topology, as well as filtering techniques relying on minimum spanning trees, planar graphs, or spectral analysis. The aim of this study is to review relevant graph theoretical and statistical models and techniques for generating and examining the properties of financial networks, obtained by computing time series correlations or causality relationships. In particular, this study reviews literature discussing the time evolution of the observed phenomena from a network perspective, as well as applications in economy and finance, ranging from risk and diversification, through policy making and better understanding crisis impact, to forecasting. The information synthesized in this paper can be useful to gain further insights into this relatively new research area.

ADVANTAGES OF USING DECOUPLING MATRIX FOR MIMO CONTROL

A research for the effectiveness of using decoupling matrix for MIMO PID control is conducted. Approximations of different orders are used for the calculation of the decoupling matrix. The estimation of the effectiveness is measured by a modified criterion.

DIGITAL AGRICULTURE INDUSTRY – CURRENT SITUATION ON THE BASIS OF EXISTING RESEARCHES AND SHARE FACTS

Despite the big and rapid growth of technologies during the 21st century, there is still an industry that is lagging behind with the optimization and launch of its digital transformation. In fact, this is the agricultural sector. Therefore, in recent years, many attempts have been made to develop and implement optimized processes and technologies, in order to increase production and reduce costs while maintaining product quality. The purpose of this publication is to summarize the current situation on the basis of existing researches and share facts.

FOUR-DIMENSIONAL ENCODING OF CHARACTER SEQUENCES AND EVALUATION OF THEIR SIMILARITIES AND DIFFERENCES

This paper describes a string encoding algorithm, which produces sparse dis-tributed representations (SDR) of text data. In essence, this is a modified version of a prior algorithm and the modifications have the following benefits: - the ability to decode data, without loss of information; - greatly increased capacity of the encoding space; - the possibility of performing more detailed comparisons of encoded strings. The main disadvantage compared to the prior algorithm is the increased complexity of the procedure for encoded string comparison. This is due to the use of a four-dimensional encoding space, instead of a two-dimensional space.

CASCADE CONTROL OF A MULTI INPUT AND MULTI OUTPUT (MIMO) THERMAL CONTROL SYSTEM

Cascade control of a “Multi Input and Multi Output (MIMO) Thermal Control System” is developed for better speed, better reduction of noise, lower overshoot. The thermal object consists of 4 thermally connected modules (three with a heater and one with a cooler), which is a MIMO object – 4 inputs and 4 outputs. The control system is realized with CPU and contains developing of PID control, Autotune system, history data.

SYSTEM CHARACTERISTICS OF DISTRIBUTED PARAMETER SYSTEMS

The paper considers the problem of distributed parameter systems modeling. The basic model types are presented, depending on the partial differential equation, which determines the physical processes dynamics. The similarities and the differences with the models described in terms of ordinary differential equations are discussed. A special attention is paid to the problem of heat flow in a rod. The problem set up is demonstrated and the methods of its solution are discussed. The main characteristics from a system point of view are presented, namely the Green function and the transfer function. Different special cases for these characteristics are discussed, depending on the specific partial differential equation, as well as the initial conditions and the boundary conditions.