Organization of Secure Communication between Programmable Logic Controllers Using the Open Platform Communications Protocol

Modern automated control systems in industrial and private enterprises are represented by a set of programmable logic devices and components from various manufacturers. They operate based on many of the most widely used protocols and interfaces. Some manufacturers have their own solutions that are mainly focused only on their product, without direct or indirect compatibility with third-party solutions. Many control systems used now operate on relatively old solutions that cannot be partially modernized due to lack of technical resources or financial unprofitability. The paper considers the most popular industrial protocols Modbus and Profibus, analyzes their advantages, as well as features of the structure and functionality. The study of the operation problems and information security of modern control systems is considered, solutions for their elimination are analyzed. A solution for the control systems modernization was proposed based on the analysis. It can become effective and financially justified due to its technical features, allowing it to be adapted to existing solutions. Conclusions about the effectiveness of the proposed solution were formulated based on the data collected and the goals achieved.

SELECTION OF POWER LINE COMMUNICATIONS PROTOCOL APPLIED TO A WIND TURBINE UNDER SEVERE CLIMATE CONDITIONS

The main purpose of this paper is to study the preliminary selection of one or more Power Line Communications protocols or standards, to be used in a full duplex communication between a wind turbine and a command center powered by this wind turbine. This situation considers that the wind turbine is located in an isolated area in the Patagonia Austral region, working under severe climate conditions.

A generic expert system framework with fuzzy Bayesian inference for medical classification and diagnosis in cardialogy [i.e. cardiology

Medical knowledge is expanding fast and it is difficult for general practitioners to remain abreast of all medical domains. Also, access to domain specialist is limited due to availability and geographical constraints. In many situations the diagnosis in [sic] upon the decision of the general practitioner and in cases this has resulted in the problem of patient's misdiagnosis. The purpose of this research is to create an expert system as a decision support model which is capable of risk analysis for diagnosis based on the patient's demography and laboratory tests. The expert system is designed in compliancy with medical communications protocol such as HL7 and can be integrated to any HL7 compliant Electronic Medical records system to provide more intelligence in diagnosis. Using linear scoring models and Fuzzy logic, the patient's demography and laboratory results will be used as rule bases. Such knowledge will be used as priors for a Bayesian engine to create the diagnostic spaces. Patient's information is compared in the space and the general practitioner can select between the possible hypotheses. Each diagnostic decision will be associated with a risk value. Using such scoring model provides a new semantic in diagnosis by providing risk values for every diagnosis made and by suggesting the most suitable treatment. Unlike many other existing expert systems, the architecture is designed in a generic standard which provides the capability to use the system for all medical domains. Achieving this generality has been a major goal achieved and its details are discussed in this document.

A generic expert system framework with fuzzy Bayesian inference for medical classification and diagnosis in cardialogy [i.e. cardiology

Medical knowledge is expanding fast and it is difficult for general practitioners to remain abreast of all medical domains. Also, access to domain specialist is limited due to availability and geographical constraints. In many situations the diagnosis in [sic] upon the decision of the general practitioner and in cases this has resulted in the problem of patient's misdiagnosis. The purpose of this research is to create an expert system as a decision support model which is capable of risk analysis for diagnosis based on the patient's demography and laboratory tests. The expert system is designed in compliancy with medical communications protocol such as HL7 and can be integrated to any HL7 compliant Electronic Medical records system to provide more intelligence in diagnosis. Using linear scoring models and Fuzzy logic, the patient's demography and laboratory results will be used as rule bases. Such knowledge will be used as priors for a Bayesian engine to create the diagnostic spaces. Patient's information is compared in the space and the general practitioner can select between the possible hypotheses. Each diagnostic decision will be associated with a risk value. Using such scoring model provides a new semantic in diagnosis by providing risk values for every diagnosis made and by suggesting the most suitable treatment. Unlike many other existing expert systems, the architecture is designed in a generic standard which provides the capability to use the system for all medical domains. Achieving this generality has been a major goal achieved and its details are discussed in this document.

Decentralized group control of autonomous robots swarm without data routing

To solve a wide class of practical problems in engineering practice, groups of robots with varying network topology are used; these groups are controlled by decentralized algorithms. The emphasis is on decentralizing computing in group, but at the communications protocol layer, the network remains centralized using data routing. This article discusses the task of group control, in which there is no traditional data packets routing. The procedure of simulation modeling and the hardware stand that implements it are described.

Operating System Realization for Real-Time Visualization of CAN-Bus Data Streams using Xilinx Zync SoC

The revolution in the automotive industry over time led to more and more electronics to be included in the vehicle and this increased the number and space allocated for cables. Therefore, the in-vehicle cabling network has been replaced with a two-wire bus serial communications protocol called Controller Area Network (CAN). The proposed paper describes the implementation of the CAN controller as a listener to monitor the state of the CAN bus in a real-time approach. The CAN listener obtains the data from the CAN bus by using an external signals converter. The work is realized using development platform called ZedBoard. The controller performs a sequence of processes on the received CAN frames including decoding, buffering and filtering. The processed data is stored in an implemented FIFO to keep the data from loss. After that, the data is sent serially to the processor system over the implemented SPI that connects the controller with the processor of the Zynq-7000 device. A single-threaded, simple operating system is run over the processor to provide a set of libraries and drivers that are utilized to access specific processor functions. It enables the execution of the C code that was written to configure the operation of the onboard display unit. The design procedure and simulation process for the implemented CAN listener is achieved using the Xilinx ISE WebPACK environment, while the final complete design is properly tested and verified by connecting the module to a CAN network consisting of six CAN nodes.

A Novel Way to Automatically Plan Cellular Networks Supported by Linear Programming and Cloud Computing

With the increasing number of mobile subscribers worldwide, there is a need for fast and reliable algorithms for planning/optimization of mobile networks, especially because, in order to maintain a network’s quality of service, an operator might need to deploy more equipment. This paper presents a quick and reliable way to automatically plan a set of frequencies in a cellular network, using both cloud technologies and linear programming. We evaluate our pattern in a realistic scenario of a Global System for Mobile communications protocol (GSM) network and compare the results to another already implemented commercial tool. Results show that even though network quality was similar, our algorithm was twelve times faster and used four times less memory. It was also able to frequency plan seventy cells simultaneously in less than three minutes. This mechanism was successfully integrated in the professional tool Metric, and is currently being used for cellular planning. Its extension for application to 3/4/5G networks is under study.