MICOSE4aPS: Industrially Applicable Maturity Metric to Improve Systematic Reuse of Control Software

automated Production Systems (aPS) are highly complex, mechatronic systems that usually have to operate reliably for many decades. Standardization and reuse of control software modules is a core prerequisite to achieve the required system quality in increasingly shorter development cycles. However, industrial case studies in aPS show that many aPS companies still struggle with strategically reusing software. This paper proposes a metric-based approach to objectively measure the m aturity of i ndustrial IEC 61131-based co ntrol s oftwar e in aPS (MICOSE4aPS) to identify potential weaknesses and quality issues hampering systematic reuse. Module developers in the machine and plant manufacturing industry can directly benefit as the metric calculation is integrated into the software engineering workflow. An in-depth industrial evaluation in a top-ranked machine manufacturing company in food packaging and an expert evaluation with different companies confirmed the benefit of efficiently managing the quality of control software.

Towards Design and Feasibility Analysis of DePaaS: AI Based Global Unified Software Defect Prediction Framework

Using artificial intelligence (AI) based software defect prediction (SDP) techniques in the software development process helps isolate defective software modules, count the number of software defects, and identify risky code changes. However, software development teams are unaware of SDP and do not have easy access to relevant models and techniques. The major reason for this problem seems to be the fragmentation of SDP research and SDP practice. To unify SDP research and practice this article introduces a cloud-based, global, unified AI framework for SDP called DePaaS—Defects Prediction as a Service. The article describes the usage context, use cases and detailed architecture of DePaaS and presents the first response of the industry practitioners to DePaaS. In a first of its kind survey, the article captures practitioner’s belief into SDP and ability of DePaaS to solve some of the known challenges of the field of software defect prediction. This article also provides a novel process for SDP, detailed description of the structure and behaviour of DePaaS architecture components, six best SDP models offered by DePaaS, a description of algorithms that recommend SDP models, feature sets and tunable parameters, and a rich set of challenges to build, use and sustain DePaaS. With the contributions of this article, SDP research and practice could be unified enabling building and using more pragmatic defect prediction models leading to increase in the efficiency of software testing.

Data transfer in a decentralized network of robots using a local voting protocol

The construction of an effective intelligent information transmission system in a group of cyber-physical systems is one of the important problems in both practical and theoretical contexts. Such a system for transmitting information for a group is being built for a network consisting of separate robotic complexes. Increasingly, decentralized solutions are used to build effective interaction between group members. As a rule, in networks, decentralization is present in computing software modules, and the data transmission system between nodes is centralized. One of the aspects of such centralization is the need to send data to a specific destination directly or by relaying through other nodes - routing data in the network. In this work, a method of data transmission in a decentralized network between robotic complexes without reference to routing is proposed. The method consists of the exchange of data on the state of the entire network as a whole between the nodes.

PRECEDENT-ANALYTICAL MODEL OF EXERCISE SYSTEM FOR ENERGY MANAGERS

The topical issue of development of theoretical bases of creation and application of computerized systems for training of energy managers of industrial enterprises is considered. The object of the study is the practical activities of the company's staff, aimed at improving the energy efficiency of production systems for various purposes. The subject of research is computer technologies of training and coaching of industrial enterprise personnel. The purpose of the study is to create tools aimed at training the staff of energy management services. The research is based on scenario modeling of energy manager actions and precedent modeling of equipment reactions to such actions. The modeling of energy manager actions is based on the Deming cycle, and the modeling of reactions of production systems is based on cases of quasi-stationary energy consumption of the technological system. The software platform of the proposed technology consists of software modules that reproduce the control cycle PDCA (Plan-Do-Check-Act) and the subject area of ​​training in the form of a software add-on. The technology allows to work out the actions of the energy manager aimed at planning energy saving measures and calculating the financial and economic results achieved during their implementation.

Surveying Tasks Solution Automation in the Framework of Mining and Geological Information System Creation at PJSC "Uralkali"

The results of work on the automation of the solution of engineering problems facing the specialists of mine surveying services of the mines of PJSC "Uralkali" are presented. The developed software modules are fully integrated into the corporate mining and geological information system of PJSC "Uralkali" and are grouped into specialized software systems - automated workstations. These complexes are installed at the workplaces of various mining specialists, from the heads of technical departments to employees of departments at mines. In total, 21 software systems were developed, of which three workstations were created for the specialists of the company's mine surveying service. For the mine surveying departments at the mines, an automated workstation "Local mine surveyor" was developed and put into commercial operation, for the department of capital surveying and geodetic works - an automated workstation "Capital mine surveying", for employees of the department of the chief mine surveyor of PJSC "Uralkali" - an automated workstation "Chief surveyor". The software modules that are part of the automated workstations of the specialists of the mine surveying service allow in an automated mode to solve a wide range of engineering problems, due to the requirements of the current regulatory documents. Among them, one can single out such tasks as: processing the results of instrumental survey of underground and surface objects and, on its basis, replenishment of mining and graphic documentation in digital form (2D and 3D); mining planning and design; preparation, editing and printing of standard technical documentation (payroll, tables, reports and graphics); solving issues of safe mining; analysis of the implementation of planned and design indicators of the mining enterprise, etc.

Integrated automation of wheeled ships technological processes

Появление судов с колесным движительно-рулевым комплексом, обладающих рядом специфических конструктивных и динамических особенностей, потребовало новых подходов к созданию алгоритмической и аппаратной базы для создания систем управления, обеспечивающих безопасную и эффективную эксплуатацию судов этого типа. Представлена структура судовой электростанции, ее особенности, связанные с обеспечением работы электропривода гребных колес и выполнения функций энергосбережения и резервирования. Приведены этапы развития комплексной системы контроля и управления для судов с колесным движительно-рулевым комплексом. Рассмотрена структура распределенной системы и ее аппаратная база, дающая широкие возможности автоматизации как отдельных подсистем и судовых технологических процессов, так и судна в целом. Приведены отдельные алгоритмы управления, реализованные в системе. Система позволяет модернизировать алгоритмическое обеспечение в процессе эксплуатации судна по мере возникновения ситуаций, требующих его коррекции. Обновление программных модулей не требует изменения структуры системы или аппаратной части системы. The appearance of ships with wheeled propulsion/steering system with a number of specific structural and dynamic features required new approaches to creation of algorithmic and hardware base for creation of control systems ensuring safe and efficient operation of this type of ships. The structure of the ship's power plant, its features related to ensuring the operation of the electric drive of the propeller wheels and performing the functions of energy saving and redundancy are presented. The stages of development of integrated control and management system for ships with wheeled propulsion/steering system are given in the article. The distribution system structure and its hardware base are considered. The hardware base gives ample opportunities for automation both individual subsystems and the ship technological processes, and the ship as a whole. Some control algorithms implemented in the system are described. The system makes it possible to upgrade algorithmic support during the operation of the vessel as situations requiring its adjustment arise. Updating software modules does not require changing the system structure or the system hardware.

A Study of Piano Timbre Teaching in the Context of Artificial Intelligence Interaction

This paper provides an in-depth analysis and research on piano timbre teaching in the context of artificial intelligence interaction, a bold vision of piano teaching, proposes a feasible solution in terms of teaching modules in intelligent piano teaching for senior teachers, and proposes an implementation path for the integration of intelligent piano and piano teaching from the four main blocks of piano teaching. Based on the multiplicative harmonic model of monophonic signal, combined with the variability of timbre characteristics, an audio synthesis model with editable timbre is proposed, and the experimental results show that editing the timbre parameters in the model can realize timbre modification, and the synthesized timbre conforms to the piano timbre characteristics. Based on the timbre analysis and the timbre synthesis model, a piano timbre library generation system is designed. The detailed design of the software modules such as audio file reading and writing, audio information analysis, timbre parameter acquisition, timbre synthesis, and simulated performance is given. The system can generate piano timbre libraries of different qualities flexibly and meet the requirements of timbre realism. The teaching experiment designed for teaching practice from solo teaching, and the practice target is first-year undergraduate students in the university, and the practice period is six weeks, and finally, the feasibility of intelligent piano teaching application is analysed by combining the experimental results. Through the teaching objectives, teaching content, and teaching methods, teaching environment reflects intelligent piano teaching to make up for the limitations of traditional piano teaching. Analyse the development trend of intelligent piano teaching in the context of artificial intelligence interaction, and explore the value of intelligent piano teaching.

Probabilistic Neural Network based Managing Algorithm for Building Automation System

A building automation system is a centralized intelligent system, which controls the operation of energy, security, water, and safety by the help of hardware and software modules. The general software modules employed for automation process have an algorithm with pre-determined decisions. However, such pre-determined decision algorithms won’t work in a proper manner at all situations like a human brain. Therefore a human biological inspired algorithms are developed in recent days and termed as neural network algorithms. The Probabilistic Neural Network (PNN) is a kind of artificial neural network algorithm which has the ability to take decisions same as like of human brains in an efficient way. Hence a building automation system is proposed in the work based on PNN for verifying the effectiveness of neural network algorithms over the traditional pre-determined decision making algorithms. The experimental work is further extended to verify the performances of the basic neural network algorithm called Convolution Neural Network (CNN).