The scientific and technical journal Computer Technologies of Printing is a peer-reviewed periodical aimed at creating an open scholarly space for the dissemination of fundamental and applied research in publishing and printing technologies, computer science, and automation. The journal is dedicated to advancing the field's scientific potential by integrating cutting-edge digital solutions into classic and digital on-demand printing. It facilitates professional communication between researchers, engineers, and business representatives to implement innovations that drive digital transformation and enhance the competitiveness of the media industry.
Scope and Objectives
- Approval and Dissemination of Research Results: Providing a professional peer-reviewed platform for publishing original theoretical and applied findings, ensuring their validity, reliability, and novelty to legitimize scholarly contributions and facilitate their implementation within industrial clusters.
- Formation of a Unified Scientific Information Environment: Establishing a platform for professional communication between the academic community, software developers, and engineers to promote experience exchange and strengthen links between research centers and the manufacturing sector.
- Support for the Professional Growth of Researchers: Assisting young scientists, graduate, and postgraduate students by publishing their initial professional results, thereby ensuring the continuity of scientific schools and the renewal of intellectual capital.
- Theoretical and Methodological Support for Innovative Development: Developing a comprehensive knowledge base on the transformation of technical systems and technological processes to scientifically justify the implementation of advanced computer solutions into industrial practice.
- Integration into the Global Research Space: Adhering to international standards of scientometric reporting and publication ethics to enhance author citation rates and ensure proper representation of national achievements in global databases.
- Forecasting Industry Paradigms: Identifying prospective vectors in computer technology and engineering through the systematic analysis of current technological trends and societal demands.
- Stimulating Interdisciplinary Research: Creating conditions for integrating achievements in computer science, engineering, and social communications to develop complex technologies for the creation and distribution of information content.
Main Research Areas:
SYSTEMS: THEORY AND DESIGN OF INFORMATION AND CONTROL COMPLEXES
- System Architecture and Intellectualization: Principles of distributed control system design; cloud and edge computing within production line structures; integration of artificial intelligence tools into engineering solutions.
- Specialized Information Platforms: Scientific foundations for the design and implementation of Content Management Systems in Web-to-Print processes; architecture of automated marking and identification systems for warehouse and industrial logistics.
- Reliability and Security: Methods for ensuring the resilience of complex technical systems; real-time hardware diagnostics; cyber-physical security of control networks.
SIGNALS: METHODS OF PROCESSING, MODELING, AND DATA TRANSMISSION
- Digital Signal Processing and Transformation: Mathematical methods and algorithms for filtering, compression, restoration, and transformation of signals in complex communication channels and information systems; analysis of multidimensional signals in data reproduction and visualization processes.
- Intellectual Analysis and Pattern Recognition: Development of computer vision and machine learning methods for object identification; statistical signal processing in sensor networks and automated monitoring systems for complex environments.
- Synthesis and Verification of Information Structures: Theoretical foundations of signal formation for end-to-end control of print and digital content characteristics; mathematical modeling of screening and encoding processes for data integrity and protection.
PROCESSES: AUTOMATION, TECHNOLOGICAL OPTIMIZATION, AND MONITORING
- Mathematical Modeling of Production Cycles: Identification and optimization of technological parameters for printing, packaging, and finishing processes; modeling the dynamics of mechanical and hydrodynamic equipment systems.
- Automation of Publishing and Printing Operations: Development of algorithms for automated adjustment and stabilization of equipment operation modes; adaptive control under conditions of uncertainty in consumable material characteristics.
- Integration and Business Logic: Automation of document workflow and end-to-end product lifecycle management; scientific and methodological approaches to the digitalization of customer-manufacturer interaction within the media industry.