Hasil untuk "Industrial directories"

Meng Fanyu

Recently, three-dimensional or visual design, dressing, and simulation programs have become prominent in the garment industry. Image processing technology is increasingly utilized in the online customization process to adapt to the growth and revolution of garment customization. The emergence of online sites for browsing and purchasing personalized garments has given consumers a new platform to choose their outfits. The major challenge is extracting garment data, general clothing portrayals, and automatic dimensional extractions. Hence, this article proposes the Image Processing Technology-assisted Garment Visual Design Element Recognition (IMT-GVDER) model for tailoring clothing throughout the early phases of unique design and product development. The series of cloth pictures can be given as input to the recognition model from datasets. This clothing style recognition aids in predicting clothes' features and patterns, which aids in classifying them using efficient feature extraction and classification models such as Convolutional Neural Network (CNN). It helps to automatically recognize cloth images and categorize clothes styles depending on style components and their salient visual feature. The image texture characteristic variables can be utilized to classify the defects. The experimental outcome demonstrates that the suggested IMT-GVDER model enhances the prediction accuracy ratio of 98.7%, the matching rate by 97.6%, the performance ratio of 96.7%, and the F1-score ratio of 94.56% and reduces the error rate by 0.9% compared to other existing methods in visual clothing design.

Ekky Imanjaya, Cynthia MF Pangabean

Introduction: As stipulated in the Indonesian Labor Law, every worker is entitled to work safety and health protection, including the film industry. This research focuses on two articles in the Health, Safety, and Environment (HSE) regulations and the Law of Film Year 2009. However, the Indonesian film industry has not officially implemented these laws. There have been several cases of HSE, which caused death or fatal injuries to film workers, without applying the regulations. Other HSE issues include the cases where only a few film producers gave insurance to the film workers, applied proper risk assessment, or provided first aid kits. The paper will overview HSE in the Indonesian film industry by mapping out the problems and potential solutions. Methods: By having in-depth interviews with key persons in the field, such as the workers and film producers, this research aims to map out such issues and answering why and how the laws on work health and safety are not implemented in the Indonesian film industry. Result: This research has resulted in maps of problems and recommendations for policymakers, film workers, and related institutes concerning HSE and the rights of film workers, including of the lack awareness of film workers on HSE and HSE-related curriculum in film education, as well as the need for stronger film associations and union. Conclusion: HSE in the Indonesian film industry must be evaluated to be more effective. Some factors to be reviewed include law enforcement in contracts, health insurance, the collaboration of various parties, HSE-related knowledge in the curriculum in Indonesian film education, and the application of Work Competency Standards (SKKNI) to all film professional associations.

Huang Chenglong, Lin Chi-Ho, Lee Suan

Traditional rule-based manual bridge inspection methods often suffer from low efficiency and poor accuracy, making them inadequate for the demands of industrial-scale production. This study aims to achieve rapid recognition and localization of virtual assembly components within bridge 3D point clouds by constructing an intelligent analytical framework that integrates supervoxel clustering with a Transformer architecture. Specifically, an improved supervoxel clustering algorithm is developed, deeply integrating geometric morphology, density distribution, and structural response features to generate multimodal voxel units, thereby enhancing the semantic representation of local features. A graph-based Transformer module is introduced to model spatial relationships and semantic associations among supervoxel nodes through a self-attention mechanism, effectively integrating global contextual information. Additionally, a voxel voting strategy within a pose estimation module is employed to optimize component localization accuracy, forming an end-to-end recognition and localization system. The proposed model demonstrates excellent performance across multiple datasets, including Stanford Large-Scale 3D Indoor Spaces Dataset, ETH Zurich Building Dataset, International Society for Photogrammetry and Remote Sensing Benchmark Dataset, and National Building Museum Point Cloud Dataset. Compared to baseline models, the proposed approach achieves improvements of over 21.5% in semantic segmentation Mean Intersection over Union, instance recognition accuracy, and pose regression precision. In complex multi-box girder bridge scenarios, the recognition accuracy for small-scale connectors improves by up to 37.1%. Computational efficiency increases by more than 18.7%, with inference time reductions of up to 31.5% when processing large-scale data. Overall improvements in bridge component recognition exceed 22.4%, with recognition accuracy for critical connection components increasing by up to 37.4%, and localization accuracy improving by over 26.2%, reaching up to 35.9% for key node localization. The results demonstrate that the proposed model effectively addresses critical challenges in processing bridge point cloud data through multimodal feature fusion and global structural reasoning, significantly enhancing component recognition accuracy and localization precision in complex scenes while maintaining a balance between algorithmic efficiency and model performance. This study provides an efficient solution for the digital delivery and quality control of intelligent bridge construction. By integrating finite element analysis with deep learning, the model enhances semantic understanding of bridge structural functions, contributing significantly to the advancement of intelligent bridge engineering.

Krivonogov Aleksei, Taranenko Pavel Alexandrovich, Khan Afrasyab

In connection to methods developed for determining of “liquid–gas” volume-mass parameters, research has been carried out by a group of scientists from South Ural State University and University of Dundee, where the current manuscript presents a new method for measuring a liquid and gas flow rate. Method able to measure a turbulent flow convective velocity through the pipeline wall and volumetric flow rate of a liquid and gas. A brief description of G. Taylor's “frozen turbulence” hypothesis is given on the basis of which the method works. Main scientific problems associated with its proof in relation to the problem of determining the convection velocity of turbulence are identified. Mathematical modeling was performed in the CFD computational fluid dynamics package using the hybrid eddy-resolving turbulence model SBES to determine an optimal configuration of the experimental setup. This model contains 2-D symmetry domain to decries simulation time. In this article describe correlation between 2-D symmetry model and full-scale tests. Result of experimental tests are presented. Therefore, novelty of this investigation is noninvasive method for flow measurement and experimental confirmation that it works.

Guido Alfaro Degan, Andrea Antonucci, Dario Lippiello

The ISO Standard 10819:2013 defines the method for evaluating the performances of antivibration (AV) gloves, but when used in real fields, the protection can be dissimilar to that labeled. This paper investigates the transmissibility, at the palm level, of three different types of AV gloves (air, gel, neoprene) and an ordinary leather glove, during the use of four similar electric hammers (average weight of 10 kg, and average impact energy of 18 J), in a limestone quarry plant. As the average triaxial transmissibility for all the hammers, results show very limited benefits in reducing the vibration (6%), with no significative differences among the different gloves. The working leather glove, instead, shows a transmissibility quite equal to the unit. Anyway, results can be different for the same glove when used among the different hammers, providing in some cases 19% of protection. Some differences can be found regarding the transmissibility through the three main axes for the same type of glove: the glove in gel seems to perform better in shear than in compression. The transmissibility in compression is around 20% higher than that provided by the manufacturers of the certified gloves. The usage of specific excitation curves during laboratory tests could help in providing a more accurate estimation of the transmissibility of the gloves when used with a specific tool.

Serhii Tsybulia, Artem Volokyta

У роботі розглянуті наявні підходи впливу на роботу алгоритмів штучного інтелекту, зокрема машинного навчання, що застосовуються в системах комп’ютерного зору для виявлення, класифікації та ідентифікації об’єктів. На даний час найпопулярнішою та найперспективнішою технологією розпізнавання образів є штучні нейронні мережі. Комп’ютерний зір застосовується у військовій справі для виявлення візуальних об’єктів певних класів: людей, озброєння та військової техніки, військових об’єктів тощо. Вхідними даними для аналізу можуть бути: фотографії, відеокадри чи відео потік реального часу, що отримані з космічних, повітряних або наземних засобів розвідки. Для боротьби з системами автоматичного виявлення об’єктів можливо застосовувати підходи, що здатні впливати на моделі машинного навчання, які використовуються у цих системах. Атака на моделі машинного навчання – це спеціальні дії щодо впливу на її елементи з метою досягти бажаної поведінки системи або перешкодити її коректній роботі. За результатами аналізу досліджень різних авторів визначено, що майже кожен алгоритм машинного навчання має певні вразливості. Під час виконання завдань інженерної підтримки військ щодо маскування військових об’єктів, найбільш доступними способами впливу на системи комп’ютерного зору, для введення їх в оману, є зміна фізичних властивостей об’єкта, що маскується, шляхом нанесення на його поверхню спеціальних покриттів і матеріалів. У якості покриттів можливо використовувати згенеровані змагальні патч-зображення, шляхом накладання або наклеювання їх на об’єкт та які здатні вносити завади в роботу алгоритмів засобу розвідки, прицілювання або наведення. Це особливо важливо в перспективі створення автономних систем зброї, які здатні виявляти, ідентифікувати цілі та самостійно приймати рішення на їх ураження.

Anisha Banu Dawood Gani, Yudi Fernando, Shulin Lan et al.

PurposeThis study aims to examine whether the cyber supply chain risk management (CSCRM) practices adopted by manufacturing firms contribute to achieving cyber supply chain (CSC) visibility. Studies have highlighted the necessity of having visibility across interconnected supply chains. Thus, this study examines the extent of CSCRM practices enabling CSC visibility to act as a mediator in achieving CSC performance.Design/methodology/approachA survey method was used to obtain data from the electrical and electronics manufacturing firms registered with the Federations of Malaysian Manufacturers directory. Data from 130 respondents were analysed using IBM SPSS and PLS-SEM.FindingsThis study empirically proves a dedicated governance team's integral role in setting the security tone within its CSC. The result also confirms the significant role that CSC visibility plays in achieving CSC performance. As theorised in the literature, there is also a strong direct relationship between CSC visibility and CSC performance, assuring manufacturing firms that investments and policies devised to improve CSC visibility are fruitful.Originality/valueThe significance of supply chain visibility in an integrated supply chain is recognised and studied using analytical models, behavioural techniques and case studies. Substantial empirical evidence on the CSCRM practices which contributes towards achieving supply chain visibility is still elusive. This study's major contribution lies in identifying CSCRM practices that can contribute towards achieving CSC visibility, and the mediating role CSC visibility plays in achieving CSC performance.

Arira Celia Virta Parawansa, Naomi Cimera, Ahmad Rido’i Yuda Prayogi et al.

Introduction: PT. Kerta Rajasa Raya is an industrial manufacturing company in the manufacturing of Woven Bags and Jumbo Bags. From 2012 to 2017, the total incidence of work accidents reached 844 cases. One of the divisions at PT. Kerta Rajasa Raya which often experiences work accidents is the extruder division. The most frequent accidents experienced by workers in the extruder division are being hit by a cutter and pinched by a roll on the machine. One of the causes of accidents is workers' non-compliance with the use of PPE. This study aims to analyze relationship between personal factors and non-compliance behavior in using PPE by workers. Methods: This study used a quantitative approach with an observational analytical method and a cross-sectional design. The population of this study was workers in the extruder division of PT. Kerta Rajasa Raya with sample of 79 workers, who were chosen through a random sampling technique. The data collection was conducted by the means of observation sheets and questionnaires using Kendall test analysis. Results: The results of the study showed that education level (r = 0.220), years of service (r = 0.216), attitude (r = -0.244) and knowledge (r = -0.210) had a weak relationship with the behavior of using PPE. Conclusion: There was an effect in the relationship between education level, years of servicee, attitude, and knowledge of workers in using personal protective equipement. Keywords: behavior, personal factors, personal protective equipment

Panagiotis Papaioannou, Efthymis Papadopoulos, Anastasia Nikolaidou et al.

Intersection safety and drivers’ behavior are strongly interrelated, especially when the latter are located in dilemma zone. This paper explores, among others, the main factors affecting driver behavior, such as distance to stop line, approaching speed and acceleration/deceleration, and two additional factors, namely, driver’s aggressiveness and driver’s relative position at the onset of the yellow signal. Field data were collected using unmanned aerial vehicle (UAV) technology. Two binary choice models were developed, the first relying on observed data and the latter enriched by the latent factor drivers’ aggressiveness and the vehicles’ relative position. Drivers were classified to aggressive and non-aggressive ones using a latent class model that combined approaching speed and acceleration/deceleration data. Drivers were further grouped according to their expected reaction/decision to stop or cross the intersection in relation to their relative position. Both models equally explain drivers’ decisions adequately, but the second one offers additional explanatory power attributed to aggressiveness. Being able to identify the level of aggressiveness among the drivers enables the calculation of the probability that drivers will cross the intersection even if caught in a dilemma zone or in a zone in which the obvious decision is to stop. Such findings can be valuable when designing a signalized intersection and the traffic time settings, as well as the posted speed limit.

Dina Tri Amalia, Muhammad Ilyas

Introduction: One of the most common chlorinated solvents in the world is tetrachloroethylene (TCE) because it is widely used in various industries. Exposure to tetrachloroethylene can cause health problems so biological monitoring is necessary to do. The aim of this research is to assess which one is more feasible to use among the various types of biological monitoring for tetrachloroethylene exposure, based on the evidence-based literature. Methods: The literature searching was performed via electronic databases from PubMed, Scopus, and Proquest. The keywords used were “biological monitoring”, “biomonitoring”, “tetrachloroethylene”, “perchloroethylene”, “work” and “occupation”. The articles were chosen based on the given inclusion and exclusion criteria. Selected articles were then critically appraised. Results: Initially 29 papers were collected, but only6 cross-sectional articles were selected after the screening process and manual searching. Based on the selected evidence-based literatures, statistically meaningful associations were found between tetrachloroethylene exposure and tetrachloroethylene in blood in pre- and end-of-shift, in urine at end of shift, and in exhaled air at end-of-shift. Moreover, micronucleus frequency and DNA damages between dry cleaning workers and the controls differed significantly. Conclusion: The level of tetrachloroethylene in blood, urine, and exhaled air becomes an appropriate biological exposure index for assessing tetrachloroethylene exposure in dry-cleaning workers. In Indonesia, biomonitoring that is more feasible to be implemented is micronucleus frequency evaluation from buccal mucosal epithelial smears since it is a simpler, faster, and less expensive procedure. Keywords: biological monitoring, biomonitoring, occupational exposure, tetrachloroethylene

Rieza Dwi Anggia

Introduction: Workplace air that contains dust and microorganism when inhaled by workers into respiratory tract can accumulate and cause lung function disorder. This study aimed to analyze the correlation between the concentrations of dust with the concentration of microorganism and analyze the association of worker characteristics, dust and microorganism concentration to lung physiology status. Method: This study adopted cross sectional design. The sample consisted of 24 workers who were randomly selected from factory and 10 workers who were totally selected from the administration area for respirable dust, microorganism concentration monitoring and workers’ characteristics data collecting. Result: Concentration of respirable dust has strong correlation with bacteria (rs = 0.704) and fungi (rs = 0.662) concentration. Variables that had significant association with pulmonary function status were age (p = 0.000), tenure (p = 0.008), the degree of smokers (p = 0.000), the dust concentration (p = 0.000), the bacteria concentration (p = 0.000), and the fungi concentration (p = 0.000), while the use of PPE mask (p = 0.890) had no significant association with pulmonary function status. Conclusion: Factors that related to pulmonary function status are age, tenure, degree of smokers, respirable dust, bacteria, and fungi concentration. Respirable dust concentration has significant positive correlation with bacteria and fungi concentration. Keywords: concentration of dust, concentration of microorganism, pulmonary function status

Hadiseh Rabiei, Hossein Akbari, Niloufar Davoudi et al.

Introduction: Since occupational diseases are costly and have a direct impact on workers’ health, their identification and investigation are necessary. The purpose of this study was to investigate changes in the results of periodic occupational examinations and their effective factors over the last four years in Steel Industry of Kashan City. Methods: This longitudinal study was conducted in a steel company in 2018. In order to investigate the changes, the results of periodic occupational examinations in this company were reviewed from 2014 to 2018. Blood pressure, blood glucose, audiometry, optometry, spirometry, and liver enzymes were evaluated. The results of medical records were analyzed by SPSS software version 21. Results: The mean age, work experience, and body mass index of participants were 19.19 years, 9.45 years, and 27.58, respectively. The results showed that the most common disease was hearing loss. High levels of glucose and high cholesterol increased dramatically over the studied period. A significant difference was observed between AST and ALT in 2014 (P <0.05). Conclusion: The results showed that some diseases were more prevalent among the staff due to the lack of attention to occupational health controls, the nature of work, and lack of proper control of occupational stress. Moreover, the results of this study can be used to improve the working conditions and choose the appropriate control measures for occupational diseases.

javad karami

Introduction: Renewable energies, such as wind and solar energy have attracted the attention of scientific, research, and industrial communities due to its fewer threats to the environment and human health. The purpose of this study was to identify and assess the safety and health risks of the Sun Air research institute of Ferdowsi University of Mashhad. Methods: In this descriptive cross-sectional study, the failure mode and effect analysis (FMEA) technique was used to identify and assess the risks of all Sun Air Research Institute of Ferdowsi University of Mashhad units in the second half of 2019. The HSE management team identified the risks of each unit separately and assessed the risks. All risks were prioritized following identification based on the range of priority numbers (RPN) method resulting from multiplication of the Occupancy, Severity, and Detectability components as well as the control measures. Results: The RPN ranged from 18 cases related to repetitive work in inspection operations to RPN=180 related to electric current leakage. Among the risks, three potential risks had higher priority, which included electric current leakage (RPN=180), inhalation of toxic substances (RPN=162), and falling from a height (RPN=150). Other risks were ranked next in priority. Conclusion: The results showed that use of FMEA technique was appropriate to identify and assess occupational risks in research and renewable energy production environments that lead to identification of risks at different levels. This helps the HSE team to eliminate or reduce the level of risks by providing control solutions with the priority of unacceptable risks.

Volodymyr Dachkovskyi, Larisa Rodchenco

Особливості ведення війн та збройних конфліктів вказують на те, що для забезпечення живучості військових формувань, які приймають участь в операціях (бойових діях), одним із пріоритетів є своєчасне повернення до строю пошкоджених зразків озброєння та військової техніки. Успіх виконання завдань під час ведення збройного протистояння в значній мірі буде залежати не тільки від вогневих і ударних можливостей угруповань військ (сил), але і від того, як швидко ремонтно-відновлювані органи зможуть своєчасно відновити максимальну кількість озброєння та військової техніки, які вийшли з ладу від бойових пошкоджень або експлуатаційних несправностей. Для зразків озброєння та військової техніки які знаходяться на озброєння ЗС України та тих які допущені до експлуатації за останні п’ять років запропоновано методику оцінювання відновлюваності озброєння та військової техніки. Згідно запропонованої методики основним оціночним параметром відновлюваності зразків ОВТ може служити середній час простою ОВТ в ремонті. Це не єдиний критерій але більш відповідний для оцінювання відновлюваність, оскільки його можна задати, виміряти або розрахувати. Дана обставина багато в чому буде сприяти і визначенню ймовірності відновлення, так як від середнього часу простою можна легко переходити до визначення ймовірності відновлення якщо відомо розподіл часу простою.

Sean A. Tormoehlen, William E. Field

Agriculture has historically been one of the most hazardous of all occupations, with a variety of potential safety risks to workers and even higher risks documented for older agricultural workers. This study was undertaken to document and summarize Indiana farm work-related fatalities involving persons 55 years and older over the 30 year period from 1988 to 2017. Data were mined from the Purdue University Agricultural Safety and Health Program&#8217;s Fatality Database that dates back to the 1960s. A total of 388 fatalities involving persons 55 years and older was documented. The average age of the victims was 69.3 years old, and an overwhelming majority of the cases involved males (96.1%). The average number of deaths per year has remained fairly consistent, though it has occasionally been erratic, with an unanticipated increase in the number of documented fatalities over the period 2012&#8722;2017. There appeared to be a direct positive correlation between the level or intensity of agricultural production in a county and the frequency of fatalities. The type of fatal injury most commonly reported was crush/run-over, with 229 cases (59%). The most common agent or source of injury involved was tractors, with 157 cases (40.5%). Another noted contributing factor was the high frequency of incidents in which the victim was reported to be working alone at the time of death. Findings will be used to develop evidence-based injury prevention strategies, including the development of agricultural safety training materials and methods more relevant to older farmers. A special emphasis should be placed on reducing the risk of tractor and farm machinery overturns, especially when older, non-roll over protection structure (ROPS) equipped tractors are being operated.

Spartak Hohoniants, Pavlo Hrytsai, Oleksandr Shapran

В статті запропоновано застосування методики оцінювання рівня воєнної небезпеки держави. Зосереджується увага на гострій потребі у виробленні єдиного уніфікованого підходу до опису складових геополітичних процесів та формалізації процедур опису їх впливу на рівень воєнної небезпеки держави. Сформульована можливість використання математичних методів багатомірного порівняльного аналізу чинників, що суттєво впливають на рівень воєнної небезпеки. 29   Проведений огляд існуючих наукових досліджень та публікацій фахівців у галузі стратегії національної безпеки з питань дослідження загроз національним інтересам у воєнній сфері засвідчив, що існуючі підходи достатньо грунтовні та актуальні. У проведених дослідженнях воєнна небезпека, як фуднаментальне поняття воєнної науки, є основою досліджень та розглядається як потенційна можливість будь-якої держави (групи держав) застосування воєнної сили для вирішення міждержавних протиріч. Воєнна небезпека існуватиме завжди поки існують конфлікти інтересів держав, а її рівень визначатиметься характером існуючих протиріч та наявністю матеріальної бази для ведення збройної боротьби. В той же час, існує певна неоднорідність поглядів фахівців на поняття воєнної небезпеки держави та відсутність однозначності щодо визначення її місця у системі забезпечення національної безпеки. Тому, це обумовлює необхідність застосування адекватного науково-методичного апарату оцінювання і прогнозування воєнно-політичної і воєнно-стратегічної ситуації з метою розроблення конкретних пропозицій щодо підтримки необхідного рівня воєнної безпеки держави. Представлена методика дозволяє на основі всебічного аналізу міждержавних відносин у політичній, економічній, воєнній, релігійній та інших сферах одержувати кількісні оцінки рівня воєнної небезпеки та ризиків розв'язання збройного конфлікту з боку інших держав. Застосування даної методики є запорукою вироблення ефективних управлінських рішень в інтересах забезпечення прийнятного рівня воєнної небезпеки та визначення заходів щодо зниження напруженості у стосунках між державами.

Ryosuke Sugano, Kazunori Ikegami, Satoshi Michii et al.

Objectives: Although musculoskeletal pain is considered to be a major contributor to chronic pain in Japan, there are few epidemiological studies on chronic musculoskeletal pain in workers. Presenteeism, defined as attendance at work in spite of the need to rest due to poor health, related to chronic pain causes a decrease in labor productivity, and its economic loss is said to be four times greater than that of Absenteeism. In this study, we examined the relationship between the actual state of musculoskeletal pain in workers and chronic musculoskeletal pain and labor productivity, with the goal of obtaining useful information to improve labor productivity. Methods: A questionnaire was distributed to 3,406 workers, of whom 2,055 were analyzed to determine the prevalence of chronic musculoskeletal pain and the affected body parts, and the influence of work-related factors and the degree of labor productivity loss due to chronic musculoskeletal pain. Results: 34.0% of subjects had chronic musculoskeletal pain. The most commonly reported pain site was “neck and shoulder”. Chronic musculoskeletal pain was significantly more common in people working overtime and in physical workers. Labor productivity was significantly lower in the group with chronic musculoskeletal pain than in the group without musculoskeletal pain, and it was significantly lower in the “neck and shoulder” and “lower back” groups than in the group without chronic musculoskeletal pain. Conclusions: Thirty-four percent of workers were engaged in work while experiencing chronic musculoskeletal pain. These workers had significantly decreased labor productivity. Efforts to improve conditions for workers with chronic musculoskeletal pain in each work type and working condition may improve labor productivity.

Yu. I. Bulygin, A. A. Pantuzenko, R. R. Lazurenko et al.

The article deals with the issues of injuries and accidents in the operation of hoisting machinery in Russia. The paper provides the statistics on accidents and fatal injuries on hoisting devices,as well as data on the accident rate of hoisting machines (HM). In the process of data analysis, interpolation algorithms embedded in the mathematical software are used. As a result of computer simulation of the prediction process, time intervals are determined, which give more accurate results of the prediction in relation to the dynamics of operation of autocranes with theexpired service life and the coefficient of fatal injuries per 1000 cranes. In addition, the analysis of perspective prediction methods for further scientific work is given.

Olga L. Sidorchuk

Радіолокаційні станції наземної розвідки рухомих цілей типу ПСРН–5 «Кредо», ПСНР–8 «Кредо-М1» приймають і випромінюють лише хвилі лінійної поляризації. У статті розглянуто метод проектування станцій наземної розвідки рухомих цілей шляхом використання методів визначення електромагнітного поля, розсіяного рупорним опромінювачем лінійної поляризації з подальшою їх адаптацією до антенних систем з коловою поляризацією. Новим у методі є врахування фазуючої секції, яка на відміну від звичайної рупорної антени лінійної поляризації розкладає хвилю на дві ортогональні складові. Враховано шляхи, що проходять хвилі від місця відбиття до перетину між секціями та коефіцієнти відбиття від кожної з них. Результати досліджень доцільно використовуати при проектуванні нових, більш удосконалених антенних систем радіолокаційних станцій з покращеними поляризаційними характеристиками. Впровадження таких антен дозволить підвищити якість виявлення цілей на фоні пасивних і активних перешкод існуючими та перспективними станціями наземної розвідки. Пропонується замінити штатні антени радіолокаційних станцій наземної розвідки, що приймають лише лінійно поляризовану хвилю, на антенні системи з коловою поляризацією, процес моделювання яких значно спрощується при застосуванні запропонованого методу.

F. Betin, G. Capolino, D. Casadei et al.