Application Fields Research Articles

Green synthesis of graphene-based derivatives from Ulva lactuca extract: Characterization and biomedical applications

Graphene-based materials have been extensively researched due to its biocompatibility, unique conjugated structure, and relatively low cost in the realm of biology. Graphene is increasingly being explored for many medical uses, including as DNA-hybridization devices, cancer treatment, and medicine administration. Furthermore, it exhibits substantial potential in several fields of biological applications, such as antibacterial interventions, therapy, and biosensing. The synthesis of GO and rGO was achieved in this work for the first-time using macroalgae, Ulva lactuca as a reducing agent. The antibacterial activity of graphene-based derivatives was evaluated against two different human pathogenic bacteria. Bacterial growth inhibition increased in proportion to the higher concentration. Higher concentration of nanosheets could enhance the cellular enzyme activity. Different scavenging assays are adapted to assess the antioxidant activity of GO and rGO. Significant in-vitro antioxidant activity was observed in a concentration-dependent manner. Furthermore, the antitumor activity of synthesized nanosheets was tested against human breast cancer cells (MCF-7) at various concentrations. The test results show that the graphene derivatives in the MCF-7 cell line exhibit an increase in apoptotic behaviour as sample concentration rises. This study could offer novel insights into the antibacterial, antioxidant, and anticancer activities of the green synthesized graphene-based derivatives.

Analysis of drop-on-demand printing characteristics and stability driven by inertial forces

As the core technology in the field of microdroplet related applications, researchers have been striving to develop new driving methods and improve the stability of inkjet printing technology to meet the diverse needs of various materials and applications. In this study, a novel, simple, and cost-effective droplet printing method based on inertial force driving is proposed, and its printing characteristics and stability are investigated through experimental and numerical simulation studies. A numerical model was developed to explore the effects of operating parameters and fluid properties on the printing process. The results showed that for a given fluid, it is easier to form satellite droplets when driven from a smaller nozzle with higher voltage and pulse width. The hydrophilic nature of the nozzle can suppress the formation of satellite droplets, but it is prone to retain liquid, thereby affecting the next printing effect. Under certain operating conditions, fluids with lower density, higher viscosity, and higher surface tension are difficult to be driven but can suppress the formation of satellite droplets and promote printing stability. Finally, a parameter space composed of dimensionless numbers Op representing operating parameters and Z representing fluid properties (reciprocal of the Oh number) was established to investigate the comprehensive influence on the printing. The correctness of this parameter space in guiding the selection of parameters for stable droplet printing was validated through experiments.

Preface

Preface to the Conference Proceedings We are delighted to present the proceedings of the 3rd International Conference on Nanoscience and Nanomaterials for Energy, Environment, and Biomedical Applications (iNEEBA-2023), which took place from October 1-2, 2023, in Salem, Tamilnadu, at Vinayaka Mission’s Kirupananda Variyar Arts and Science College, a constituent college of the Vinayaka Mission Research Foundation, in collaboration with Chulalongkorn University in Thailand and Gyeongsang National University (GNU) in South Korea. With an emphasis on the applications of Nanoscience and Nanotechnology in the fields of energy, environment, and biomedical applications, this conference brought together a diverse group of researchers, scientists, academicians, and industry professionals from all over the world to discuss and exchange ideas on the most recent developments in nanoscience and nanotechnology. The conference, which focused on encouraging collaboration and multidisciplinary methods, enabled fruitful discussions about the most recent developments, up-coming trends, and possible breakthroughs in the several fields it covered. We also extended our gratitude to all of the distinguished participants for their valuable contributions to the conference. Participants came from 8 different nations to present and share their work on a wide range of topics related to nanoscience and nanotechnology. We feel honoured to welcome our invited speakers, Prof. Dr. Myong Yong Choi, Director of Core-Facility Centre for Photochemistry and Nanomaterials, GNU, South Korea and Prof. Dr. Soorathep Kheawhom, Dept. of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Thailand. We would also like to express our appreciation to the keynote speakers, session chairs, and all the participants who actively engaged in the vibrant discussions that took place during the conference. Your contributions have significantly enriched the overall experience and impact of the event. There were 420 registration and 250 abstracts were received from 8 different countries, 16 Indian states. They were categorized into 200 oral presentations and 50 poster presentations. This volume of proceedings contains a compilation of selected papers that were presented during the conference. The manuscripts are received through Morressier platform and the reviewers are appointed by the Morressier platform itself, which also serves as the channel through which papers are accepted. We have received 53 papers for IOP conference series: Journal of Physics and 25 papers were accepted after critical evaluation process. We extend our heartfelt gratitude to all the authors who submitted their work for consideration and to the members of the scientific committee for their rigorous review process. Their efforts have ensured the inclusion of outstanding research that aligns with the conference’s objectives. Special thanks to Vinayaka Mission’s Research Foundation, Deemed to be University, whose generous support played a crucial role in making this conference a success. As editors, we hope that this volume will serve as a valuable resource for researchers, academics, and practitioners, fostering further collaboration and inspiring future endeavours in our shared quest for knowledge and progress. Thus, the International Conference on Nanoscience and Nanomaterials for Energy, Environment, and Biomedical Applications proved to be a significant platform for knowledge exchange and collaboration in the rapidly evolving field of nanotechnology. The event provided valuable insights into the current state of research, emerging trends, and the potential impact of nanoscience on energy, environmental sustainability, and biomedical advancements. As the field continues to advance, the conference served as a catalyst for future breakthroughs and collaborations that will shape the path of nanotechnology applications in various domains. Thank you for your participation and contribution to the success of the iNEEBA 2023. List of Brief overview of the meeting, full list of committee names and affiliations and Profile of the Guest Editor are available in this Pdf.

Paremiological material in teaching Russian in Arab audiences

Introduction. In the modern context of teaching Russian as Foreign Language, it is necessary to clearly understand the advantages and disadvantages of paremiological material in general and in the Arabic-speaking audience in particular. One of the advantages of paremiological units is their special national and cultural content, which makes them very attractive for teaching to foreign audiences. At the same time, the disadvantages include such characteristics of paremiological units as their etymology and structure, which complicate their understanding and correct use by foreign students. The problem of failed communication is incredibly acute in the 21st century. The paremiological fund of any language includes linguocultural and regional knowledge necessary for students studying a language for better communication with native speakers. The purpose of the article is to identify and highlight the beneficial aspects of using paremiological material in teaching Russian as Foreign Language at all stages of study. Materials and methods. This thesis uses a structural research method that allows to identify and analyze paremiological units from the point of view of their use in teaching Russian language. Also, the structural method allows to carry out the necessary analysis of Russian as foreign language teaching aids using paremiological material, which is necessary for this purpose. Research results. The study of modern research in the field of application of paremiological material in Russian as Foreign Language has shown that this issue remains relevant in linguistics and methods of teaching foreign languages in general and RFL in particular. An analysis of Russian proverbs from the point of view of their use as educational material in an Arabic-speaking audience has shown their enormous potential as a material for teaching, especially in the practice of increasing the linguistic and cultural competence of Arab students. Conclusion. Paremiological units are useful in creating phonetic, morphological, grammatical, and syntactic exercises. They can also be used to create regional studies exercises and creative assignments, which is extremely important when working with foreign audiences at advanced stages of education.

Modeling of mechanical behavior of Agave sisalana fiber's yarn using the design of experiments method

The aim of this study is to propose a model for predicting the mechanical properties of natural sisal yarn based on mechanical strength of used fibers, unit twist of yarn and its density. To achieve this, a complete factorial design modelling method was used, based on a design of experiments approach, which is recommended today because of the ease it offers in taking into account the most complex phenomena. It was developed on the basis of laboratory tests. The model obtained predicts mechanical strength and elasticity modulus of sisal yarn, based on control parameters such as fiber strength, unit twist and yarn mass. This model is currently one of the most accurate tools for predicting and optimising the mechanical properties of sisal yarns. The iso-surface curves represented by this model, can be used to obtain the strength and elasticity modulus of sisal yarn during manufacture, by varying the optimum control parameters. This model is an original tool that can be recommended to the spinning and sisal fiber composite manufacturing industries and others, as it saves time and materials and ensures precision in the manufacture of yarns according to the field of application, thereby contributing to safety in use.

The Effect of Knowledge Orchestration On Dynamic Capabilities: An Analytical Research in the Iraqi Media Network

This research aims to know the effect of the knowledge orchestra with its dimensions (knowledge mobilization, knowledge acquisition, knowledge coordination, knowledge sharing, and knowledge integration) on the dynamic capabilities with its dimensions (environmental sensing capabilities, opportunity investment capabilities, resource rearrangement capabilities, marketing capabilities, and technological capabilities). The main problem of this research was represented by the current question (Was the Iraqi Media Network able to invest the knowledge orchestra in achieving distinguished performance across having dynamic capabilities?). The Iraqi Media Network took a field of application for these variables, as the research sample included the senior leaders of the Iraqi Media Network, their numbers were 134 being between a director of a directorate, an assistant director, and a head of a department. The research used the quantitative method and the questionnaire was the main tool for collecting data and information, and the research used the SPSS program (v. 25) for data analysis. The results of the study concluded that there is a significant and positive influence and correlation between each dimension of the orchestra's knowledge operations and its dynamic capabilities. Also, results of the research reported that the Media Network showed its modules to mobilize knowledge through adopting communication patterns that are harmonious with its orientation towards having intellectual capital that distinguishes it from others, particularly it works to expand the knowledge base, such as diversity in knowledge fields within its current and future staff.

Applications of chitosan in the agri-food sector: A review

Chitosan is a natural and renewable polysaccharide that can form biopolymers. It is derived from the deacetylation of chitin mainly from crustaceans' shells, but also from fungi and insects. Thanks to unique characteristics such as antimicrobial effects, antioxidant properties or film forming capacities, it has triggered an important amount of research in the last decade about possible applications in industrial fields. The main application field of chitosan is the food industry where it can be used for preservation purposes and shelf-life improvement for fresh food products such as fruits or meat. For beverages, it is used for clarification and fining as well as elimination of spoilage flora in beverages like fruit juices or wine. And in agriculture, it can be used as a plant protection product through different mechanisms like the elicitation of plant defences. The mechanisms of action of chitosan on microorganisms are multiple and complex but revolve mostly around the disturbance of microorganisms’ membranes and cell walls resulting in the leakage of cell material. The use of chitosan is still minor but is promising in finding environmentally friendly alternatives to synthetic chemicals and plastics. Therefore, its characterization is primordial for the future of sustainable production and preservation processes.

Optimization of flow behavior models by genetic algorithm: A case study of aluminum alloy

Prediction of the flow stress of materials using a flow constitutive model provides strong support for engineering practice and promotes the continuous development of aluminum alloys and relevant application fields. Optimizing the parameters of flow constitutive models is a key concern to explain and predict the flow behavior. In this study, a genetic algorithm (GA) is used to optimize the parameters of flow constitutive models widely used for the flow behavior of Al alloy including modified Johnson-Cook model, hyperbolic sinusoidal Arrhenius-type model, SK-Paul model, modified Zerilli-Armstrong model, Kobayashi-Dodd model, and modified Fields-Backofen model. AA6061−T6 alloy is used in this study since it has been used as a representative Al alloy. The performance of the models optimized by GA was evaluated through comparative analysis with mechanical test. The Gleeble-3800 thermal simulation testing apparatus was employed to conduct unidirectional thermal compression tests under multi conditions, including different temperatures (573 ∼ 783 K), diverse strain rates vary from 0.001 to 1 s−1, and a range of strains (0 ∼ 0.8). The performance of all the models optimized by GA is enhanced, and the optimization effect of GA on SK-Paul model is most pronounced, which exhibits a maximum correlation coefficient (R) of 0.99731 and a minimum average absolute relative error (AARE) of 6.53%. The findings highlight the validity of GA optimization in flow constitutive models in the prediction of the flow behavior of Al alloy.

Near-infrared optical properties of Cs2KScF6:Cr3+ phosphor for high-power light-emitting diodes

The recent years have witnessed a great leap for near-infrared (NIR) spectroscopy technology in multifunctional application fields. In this study, a double-perovskite structured Cr3+-doped Cs2KScF6 fluoride NIR phosphor with peak location at 778 nm and full-width at half maximum (FWHM) of 95 nm was synthesized by a co-precipitation method. The integral emission intensity at 423 K retains 70 % of that at room temperature (RT), showing good luminescent thermal stability. Combining the obtained phosphor in an NIR phosphor converted light-emitting diode (NIR pc-LED) device, the output power and photoelectric conversion efficiency can reach 72.28 mW and 6.83 % at 320 mA. By virtue of the good optical performance, clear structural images of different fruits were visualized by using the NIR pc-LED as light source, suggesting the potential of Cs2KScF6:Cr3+ phosphor to be used in high-power LED devices.

Atypical applications of transverse diffusion of laminar flow profiles methodology for in-capillary reactions in capillary electrophoresis.

Capillary electrophoresis (CE) is a powerful separation technique offering quick and efficient analyses in various fields of bioanalytical chemistry. It is characterized by many well-known advantages, but one, which is perhaps the most important for this application field, is somewhat overlooked. It is the possibility to perform chemical and biochemical reactions at the nL scale inside the separation capillary. There are two basic formats applicable for this purpose, heterogeneous and homogeneous. In the former, one reactant is immobilized onto a particle or monolithic support or directly on the capillary wall, and the other is injected. In the latter, the reactant mixing inside a capillary is based on electromigration or diffusion. One of the diffusion-based methodologies, termed Transverse Diffusion of Laminar Flow Profiles, is the subject of this review. Since most studies utilizing in-capillary reactions in CE focus on enzymes, which are being continuously and exhaustively reviewed, this review covers the atypical applications of this methodology, but still in the bioanalytical field. As can be seen from the demonstrated applications, they are not limited to reactions, but can also be utilized for other biochemical systems.

Conformational changes induced by cellulose nanocrystals in collaboration with calcium ion improve solubility of pea protein isolate

The low solubility of pea protein isolate (PPI) greatly limits its functional properties and its wide application in food field. Thus, this study investigated the effects and mechanisms of cellulose nanocrystals (CNC) (0.1–0.4 %) and CaCl2 (0.4–1.6 mM) on the solubility of PPI. The results showed that the synergistic effect of CNC (0.3 %) and Ca2+ (1.2 mM) increased the solubility of PPI by 242.31 %. CNC and Ca2+ changed the molecular conformation of PPI, enhanced intermolecular forces, and thus induced changes in the molecular morphology of PPI. Meanwhile, the turbidity of PPI decreased, while surface hydrophobicity, the absolute zeta potential value, viscoelasticity, β-sheet ratio, and thermal properties increased. CNC bound to PPI molecules through van der Waals force and hydrogen bond. Ca2+ could strengthen the crosslinking between CNC and PPI. In summary, it is proposed a valuable combination method to improve the solubility of PPI, and it is believed that this research is of great significance for expanding the application fields of PPI and modifying plant proteins.

Edge blurring suppression of ultrasonic reflection coefficients in contact state measurement

Ultrasonic reflection coefficient is the key of contact state evaluation of mechanical devices. Edge blurring can lead to contact state (such as stress concentrations) measurement errors. This reduces the reliability of performance evaluations and introduces potential security risks. In this study, an edge blurring suppression method based on matching pursuit algorithm was proposed. Firstly, the interference signal prediction model is built based on the Nakagami model. Then, a blurred signal separation algorithm based on matching pursuit is proposed to obtain the effective signal. Finally, the reflection coefficient with and without edge blurring effect were obtained. The simulation results show that the maximum relative error of the reflection coefficient is reduced from 219% to 15%. The effectiveness of the proposed method is also verified by experiments. The experimental results show that the relative error of the reflection coefficient after edge blurring suppression is reduced from 64% to 16%. This indicates that the proposed method can effectively suppress edge blurring, which provides an effective method for edge blurring suppression in various application fields of ultrasonic measurement and improve the reliability of product quality evaluation.

Atypical applications of transverse diffusion of laminar flow profiles methodology for in-capillary reactions in capillary electrophoresis.

Capillary electrophoresis (CE) is a powerful separation technique offering quick and efficient analyses in various fields of bioanalytical chemistry. It is characterized by many well-known advantages, but one, which is perhaps the most important for this application field, is somewhat overlooked. It is the possibility to perform chemical and biochemical reactions at the nL scale inside the separation capillary. There are two basic formats applicable for this purpose, heterogeneous and homogeneous. In the former, one reactant is immobilized onto a particle or monolithic support or directly on the capillary wall, and the other is injected. In the latter, the reactant mixing inside a capillary is based on electromigration or diffusion. One of the diffusion-based methodologies, termed Transverse Diffusion of Laminar Flow Profiles, is the subject of this review. Since most studies utilizing in-capillary reactions in CE focus on enzymes, which are being continuously and exhaustively reviewed, this review covers the atypical applications of this methodology, but still in the bioanalytical field. As can be seen from the demonstrated applications, they are not limited to reactions, but can also be utilized for other biochemical systems.

THE PARTICULARITIES OF THE APPLICATION OF SPECIAL KNOWLEDGE IN PSYCHO-CRIMINALISTICS

In this article we propose to make an analysis and evaluation of some aspects related to the application of the polygraph to the investigation of crimes. Attention will be paid to the professional skills and competences of the polygraph examiner, as well as the need to know the special procedures that can be applied during the testing. We will establish criteria for classifying the profile of the criminal under psycho-criminological and criminological aspects.The circumstances to be elucidated by applying the polygraph to the investigation of acts of terrorism. We will analyze the psycho-criminological profile of the victim, witnesses and other categories of people to be tested by applying the polygraph. We will focus on the manner and methodology of conducting the polygraph examination and make recommendations for further research in the field of polygraph application.

FPGA implementation and measurement of cusp-flattop hybrid filter shaping method for nuclear instruments

In the field of nuclear technology applications, digital multi-channel pulse amplitude analysis technology plays an indispensable role in information acquisition due to its high precision and sensitivity. However, the challenge of pulse pileup can compromise the accuracy of measurement results in this technology. While conventional filter shaping and pulse pileup processing methods can extract nuclear pulse feature information under mild pileup conditions, severe pileup can notably degrade spectral counting rate and resolution. This paper introduces a designed two-channel pulse pileup rejection method, termed the cusp-flattop hybrid filter forming algorithm, leveraging the unique features of cusp, such as high forming speed and minimal interference from pulse pileup. The two channels simultaneously process the collected signals and utilize their differences for data filtering and rejection. This approach enhances information content, improves data processing quality, and boosts the signal-to-noise ratio. Compared to three methods—three trapezoidal filter shaping algorithms, the triangle trapezoidal pulse shaping algorithm, and the pulse width discrimination algorithm—our proposed method refines the shaping threshold of pulse pileup rejection. It accurately distinguishes and extracts effective pulse amplitudes even under severe pileup conditions, generating energy spectrum results while accounting for counting rate and resolution. Building on this, we construct a digital multichannel pulse amplitude analysis system based on FPGA (Field Programmable Gate Array) and use a national standard alloy sample, YSBS41346, for testing. The system can generate energy spectrum correctly, consistent with the actual sample content. We evaluate the system's performance by comparing the peak counting rate and resolution of the energy spectrum generated by the cusp-flattop hybrid filter forming algorithm and the trapezoidal forming algorithm. A high peak counting rate represents the maximum nuclear pulse data captured by the system, while low resolution indicates more valid data after pileup rejection. Through testing, the peak counting rate reaches 12843cps, with a resolution of 6.68%, marking a significant improvement over the trapezoidal pulse forming algorithm. The system demonstrates satisfactory performance and operational effectiveness, aligning with the design objectives and presenting innovative and practical applications.

Heat flow density measurement during non-destructive testing

The object of the study is the development of a device capable of accurately and reliably measuring heat flux density in various environments. The development of a heat flux density meter designed for non-destructive analysis of thermal processes in various fields of application is presented. The developed device is intended for evaluating the thermal insulation condition of underground pipelines. The functionality of the heat flow device relies on comparing standard temperature values with experimental ones measured on the soil surface. To ensure accurate and reliable measurement of heat flux density, the basis is a thermoelectric battery converter, which uses the auxiliary wall method. The heat flow density measuring device is constructed in the shape of a restricted cylinder, with one base serving as the working surface, while the second base establishes thermal contact with the body at ambient temperature. Embedded heaters enable the generation of heat flow through the thermoelectric sensor in directions perpendicular to its base. For calibrating the heat flux device, experiments were conducted using a standard copper-constantan calibration table. Temperature increments were determined from thermo electromotive force, and tests were performed on an existing heating network. The conducted measurements validate the fundamental feasibility of employing the proposed device for implementing the non-destructive thermal testing method on underground heating mains. The results of the experiment can be used not only for research, but also for monitoring and regulating processes in various fields of science and technology. The developed heat flux meter promises a significant contribution to the development of modern methods for analyzing thermal processes. The dimensions of the thermoelectric battery converter are also determined and the coefficient (kq) should be in the range from 4.0 to 12.0 W/(m2⋅mV), and the electrical resistance should be in the range of 12–20 kOhm

Heat flow density measurement during non-destructive testing

The object of the study is the development of a device capable of accurately and reliably measuring heat flux density in various environments. The development of a heat flux density meter designed for non-destructive analysis of thermal processes in various fields of application is presented. The developed device is intended for evaluating the thermal insulation condition of underground pipelines. The functionality of the heat flow device relies on comparing standard temperature values with experimental ones measured on the soil surface. To ensure accurate and reliable measurement of heat flux density, the basis is a thermoelectric battery converter, which uses the auxiliary wall method. The heat flow density measuring device is constructed in the shape of a restricted cylinder, with one base serving as the working surface, while the second base establishes thermal contact with the body at ambient temperature. Embedded heaters enable the generation of heat flow through the thermoelectric sensor in directions perpendicular to its base. For calibrating the heat flux device, experiments were conducted using a standard copper-constantan calibration table. Temperature increments were determined from thermo electromotive force, and tests were performed on an existing heating network. The conducted measurements validate the fundamental feasibility of employing the proposed device for implementing the non-destructive thermal testing method on underground heating mains. The results of the experiment can be used not only for research, but also for monitoring and regulating processes in various fields of science and technology. The developed heat flux meter promises a significant contribution to the development of modern methods for analyzing thermal processes. The dimensions of the thermoelectric battery converter are also determined and the coefficient (kq) should be in the range from 4.0 to 12.0 W/(m2⋅mV), and the electrical resistance should be in the range of 12–20 kOhm

Development a novel design of miniaturized heptagonal Koch fractal wide band antenna for 5G mm wave and IoT applications

The object of the study is a compact heptagonal broadband antenna specially designed for use in the 5G millimeter band using Koch fractals to improve performance. As a result of the study, the most important problem of achieving higher gain, improving bandwidth and reducing interference at higher frequencies, which is necessary for the effective functioning of 5G networks, was solved. As a result, the maximum realized gain of 5 dB was obtained at a frequency of 27.58 GHz with an impressive bandwidth in the range from 26.5 to 40 GHz. The use of Koch fractal geometry and defective ground planes significantly improves impedance matching and expands bandwidth, which explains the excellent antenna performance compared to traditional designs. The features and distinguishing features of the results obtained, thanks to which they allowed solving the problem under study, are its compact dimensions (only 9 mm by 9 mm) and the ability to maintain VSWR at a level of less than 2 in the entire frequency spectrum. These features make the antenna particularly suitable for millimeter-band integration and flexible applications such as portable devices and wearable home appliances. The field of practical application of the results includes integration into portable and wearable devices, improving the performance and connectivity of Internet of Things applications. The conditions of practical use require compliance with 5G network standards and compatibility with millimeter-wave technologies. This characterizes the antenna as a significant achievement in antenna technology, demonstrating its potential for widespread adoption in next-generation wireless communication systems and paving the way for more reliable and high-performance wireless networks

Developing a technology for modeling radar portraits of complex-shape objects for intelligent recognition systems

The object of this study is the modeling of radar portraits (RPs) for intelligent recognition systems based on the use of faceted 3D models. In order to solve the problems of target identification in homing systems of high-precision missile weapons, a technology is needed that could make it possible to efficiently and quickly generate RPs of military objects of complex shape in the required quantity. The research results are based on a combination of separate component technologies, in particular: the devised technology of using faceted 3D models – their construction and further processing with invisible surfaces excluded from it for an arbitrary viewing angle. The basic part of the work is the development of an algorithm and technological procedures for the formation of a spatial tracing grid for the current observation angle. A feature of the proposed technology is the application of a facet selection algorithm using an array of tracing facets and the application of the Huygens-Fresnel principle to recognize objects of complex shape. The RP database of military objects of complex shape was built. The results of modeling faceted RP’s, in particular the armored boat "Gyurza-M", are given. The results of the experimental study showed the ability to recognize the type of military object of complex shape at the level of 80‒90 %, which makes the use of this technology appropriate for recognizing military objects of complex shape. The achieved high-speed and quality characteristics of RP generation of military objects of a complex shape makes it possible to assume that the main prospective field of practical application is the identification and visual interpretation of targets in homing systems of high-precision missile weapons

Developing a technology for modeling radar portraits of complex-shape objects for intelligent recognition systems

The object of this study is the modeling of radar portraits (RPs) for intelligent recognition systems based on the use of faceted 3D models. In order to solve the problems of target identification in homing systems of high-precision missile weapons, a technology is needed that could make it possible to efficiently and quickly generate RPs of military objects of complex shape in the required quantity. The research results are based on a combination of separate component technologies, in particular: the devised technology of using faceted 3D models – their construction and further processing with invisible surfaces excluded from it for an arbitrary viewing angle. The basic part of the work is the development of an algorithm and technological procedures for the formation of a spatial tracing grid for the current observation angle. A feature of the proposed technology is the application of a facet selection algorithm using an array of tracing facets and the application of the Huygens-Fresnel principle to recognize objects of complex shape. The RP database of military objects of complex shape was built. The results of modeling faceted RP’s, in particular the armored boat "Gyurza-M", are given. The results of the experimental study showed the ability to recognize the type of military object of complex shape at the level of 80‒90 %, which makes the use of this technology appropriate for recognizing military objects of complex shape. The achieved high-speed and quality characteristics of RP generation of military objects of a complex shape makes it possible to assume that the main prospective field of practical application is the identification and visual interpretation of targets in homing systems of high-precision missile weapons