Operational Method Research Articles

Methodological guidelines for a rapid appraisal of agricultural innovation systems under agroecology (RAAIS-AE)

The agricultural innovation system (AIS) is an approach that considers agricultural innovation from a multidisciplinary perspective. The Rapid Appraisal of Agricultural Innovation Systems is one of the commonly used operational methods. It involves a series of structured and participatory activities, including interviews, focus group discussions, and stakeholder workshops, to identify the actors, institutions, and relationships involved in the AIS, as well as the strengths and weaknesses of the system. This approach has been structured in such a manner that it adapts easily to different contexts where different stakeholders, such as developers, academicians, and policymakers are working with community members on innovation. A reflection on the concept -what to know (the requirements) and what to get (the outputs) is necessary for coming up with practical, reflective analysis and applicable procedures for a deeper understanding of the context where the innovations are introduced. Following this will enable us to fully understand the bottlenecks in transitioning from conventional systems to an agroecological model thus pinpointing potential entry points for promoting these systems’ dissemination and scaling.

A novel operational reliability and state prediction method based on degradation hidden Markov model with random threshold

AbstractBearings are widely used as a common mechanical component and significantly impacts the reliability and safety of various engineering equipment. In the field of large‐scale equipment such as wind turbines, statistical data for reliability and state prediction of bearings is usually limited, leading to the inapplicability of traditional statistical methods. Besides, individual differences commonly exist among bearings, and the appropriate failure threshold for a specific bearing is difficult to be determined due to the individual uncertainty, which may induce prediction errors. To address these issues, a novel operational reliability and state prediction method based on random threshold degradation hidden Markov model was proposed in the study. The traditional hidden Markov model was improved by considering the effect of performance degradation on state transition probability matrix. Moreover, random failure thresholds of performance degradation were employed to describe individual differences between bearings. The operational reliability and state of bearings was obtained by comprehensive analysis of prediction results under different failure thresholds. Verification of the proposed operational reliability and state prediction method were conducted using PHM2012 bearing operation data. The results underscored the effectiveness of the proposed method in achieving a comparatively high accuracy in operational reliability prediction without the prerequisite of an exact failure threshold, when contrasted with several established reliability and life prediction techniques.

A Quantitative Method of Carbon Emission Reduction for Electrochemical Energy Storage Based on the Clean Development Mechanism

Electrochemical energy storage (EES) plays a crucial role in reducing the curtailed power from wind and solar PV power (WSP) generation and enhancing the decarbonization effects of power systems. However, research on quantifying the carbon emission reduction effects of EES methods in the engineering field is still insufficient, which constrains decision-makers from making intuitive assessments of the decarbonization effects of energy storage. Therefore, drawing on the principles of the clean development mechanism (CDM), this paper proposes a method for quantifying the carbon emission reductions of a standalone EES station. Firstly, based on the design principles of building marginal emission factor in the CDM, a method for calculating the BM weight of WSP is proposed. Secondly, three quantification methods for the carbon emission reductions of EES are presented based on the complexity of the calculations. Lastly, to analyze the impacts of different operational conditions and calculation methods on the carbon emission reduction of energy storage systems, a dispatch model is constructed for various operational scenarios. The results of the case study indicate that different calculation methods yield varying results in terms of the carbon emission reductions of energy storage systems, with the sharply value method yielding the smallest reduction and the output curve method yielding the largest reduction. Additionally, when considering the losses in the state of charge (SOC) of an energy storage system and reducing the overall output fluctuations of WSP-EES, the carbon emission reduction potential of the energy storage will decrease. This study establishes a theoretical basis for quantifying the carbon emission reductions of standalone electrochemical energy storage systems, aiding decision-makers in gaining a deeper understanding of the role of electrochemical energy storage in carbon reduction and operational value.

Operational matrix method approach for fractional partial differential-equations

Abstract Fractional partial differential equations (FPDEs) have become very popular to model and analyze numerous different physical phenomena in recent years. However, it is generally complicated to find the exact solutions of those FPDEs. The objective of this study is to find the approximate numerical solution of FPDEs by introducing a wavelet-based operational matrix technique. In this study we employ Hermite wavelets (HWs) and the operational matrices of the fractional integration for Hermite wavelets. The sparsity of the obtained operational matrices provides fast and efficient computation of the proposed method. The original FPDE equations are converted to Sylvester equations, which then are solved to obtain the final solution. We provide a few numerical examples to demonstrate the versatility and efficiency of the proposed method.

Metatarsal sliding osteotomy is effective without altering plantar pressure in Morton's neuroma: Retrospective case series.

Various operative methods for the treatment of Morton's neuroma have been discussed, and osteotomy of the metatarsal bone has been reported recently. However, there has been no report of pedobarographic changes after metatarsal osteotomy. Pedobarographic changes of other metatarsal area after the surgery may cause transfer metatarsalgia, and thorough analysis of the pedobarographic data should be performed peri-operatively. The purpose of this study is to investigate the post-operative pedobarographic changes of sliding osteotomy of the 3rd metatarsal bone for treating Morton's neuroma. Forty patients (45 feet) who underwent metatarsal sliding osteotomy of the 3rd metatarsal bone for treating Morton's neuroma from November 2013 to December 2021 were retrospectively reviewed. Proximal sliding osteotomy was performed at the proximal 3rd metatarsal bone through dorsal approach. Clinical outcomes were evaluated with American Orthopaedic Foot and Ankle Society Lesser Metatarsophalangeal Interphalangeal Scale (AOFAS LMIS), Foot Function Index (FFI), and Visual Analogue Scale (VAS). Plain radiograph and pedobarogram were performed to evaluate the radiologic and pedobarographic outcomes. AOFAS score was improved from 52.8±9.0 (18-62) to 88.8±9.8 (78-100) and FFI was improved from 61.8±4.9 (50-70) to 32.2±5.1 (23-42) on average. The 3rd metatarsal bone was shortened by 3.1±0.8mm and dorsally shifted by 1.5±0.4mm after the surgery. Plantar intermetatarsal distances between 2nd and 3rd and 3rd and 4th metatarsal heads were significantly increased post-operatively. Average forefoot pressure and maximum pressure of the 2nd to 4th metatarsal head were not significantly changed between pre-operatively and post-operatively. Proximal metatarsal sliding osteotomy of the 3rd metatarsal bone shows a satisfactory result in both clinical and pedobarographical evaluations. It could be an effective treatment of permanent indirect decompression of Morton's neuroma with avoiding recurred neuroma, adhesion of tissue, paresthesia, and transfer metatarsalgia.

Structuring live stream commerce: A study on classification, framework development, and future research agendas

This study aims to address the existing gaps in Live Stream Commerce (LSC) research by focusing on understanding the variety of LSC platforms and user motivations and behaviors within these platforms. To achieve this aim, a practical and strategic analytical framework is proposed. This framework comprehensively explores the classification of LSC and its supply and demand aspects, providing a detailed description of its phenomena, characteristics, participants, and operational methods. Furthermore, this study identifies new research directions, including investigating consumer behavior and marketing strategies across different platform types, analyzing the impact of algorithms on behavior, examining discrepancies in LSC development between East and West, exploring the integration of LSC supply chains, and assessing the influence of LSC on traditional e-commerce. Overall, this framework aims to guide future research endeavors, benefiting both academics and industry professionals.

Fat embolism: a systematic review to facilitate the development of standardised procedures in pathology.

Fat embolism (FE) is a historically recognised but still actively researched topic in forensic pathology. Several aspects remain not fully elucidated, such as its aetiopathogenesis, its causal role in death determination, the impact of interfering factors (e.g. cardiopulmonary resuscitation or other medical procedures) and both qualitative and quantitative diagnostic methodologies in clinical and forensic contexts. These issues are further underscored by the potential involvement of FE in the causal determination of non-traumatic deaths, which often raises questions of professional liability. The present study aims to provide a comprehensive and up-to-date overview of the most recent scientific evidence relevant to forensic pathology. Our systematic research has included 58 articles from 1990 to the present on the topic of FE and fat embolism syndrome (FES). From these articles, we identified 45 case reports, from which the authors' descriptions were extracted to provide information on individual cases and the operational methods of forensic pathologists. Additionally, 21 experimental studies were identified, and their key findings have been summarised narratively. It has emerged that both traumatic and non-traumatic cases are frequently reported in the forensic context, with orthopaedic and cosmetic surgery being among the highest-risk specialities. Experimental studies have re-evaluated the role of a patent foramen ovale in the pathogenesis of FE, as well as the impact of cardiopulmonary resuscitation in causing FE severe enough to result in death. Additionally, there are new findings regarding diagnostic techniques, including radiological and immunohistological methods; however, they have not yet fully bridged the reliability gap compared to an accurate autopsy-histological evaluation. The major critical points that emerged include the lack of complete and detailed information on premortem clinical conditions, the underutilisation of grading systems and the methodological heterogeneity applied, resulting in considerable variability regarding the organs studied histologically and the diagnostic techniques used. Despite the limitations associated with the analysis of case reports and the heterogeneity of included experimental studies, we believe that this study can provide a comprehensive overview of the FE topic. It furnishes pathologists with an updated overview useful for clinical practice and guiding future research trends, as well as facilitating the development of standardised procedures.

Variation in the metagenomic analysis of fecal microbiome composition calls for a standardized operating approach.

The reproducibility in microbiome studies is limited due to the lack of one gold-standard operating procedure. The aim of this study was to examine the impact of protocol variations on microbiome composition using metagenomic data sets from a single center. We assessed the variation in a data set consisted of 2,722 subjects, including 9 subcohorts harboring healthy subjects and patients with various disorders, such as inflammatory bowel disease, colorectal cancer, and type 2 diabetes. Two different DNA extraction kits, with or without lyticase, and two sample storage methods were compared. Our results indicated that DNA extraction had the largest impact on gut microbiota diversity among all host factors and sample operating procedures. Healthy subjects matched by age, body mass index, and sample operating methods exhibited reduced, yet significant differences (PERMANOVA, P < 0.05) in gut microbiota composition across studies. The variations contributed by DNA extraction were primarily driven by different recovery efficiency of gram-positive bacteria, e.g., phyla Firmicutes and Actinobacteria. This was further confirmed by a parallel comparison of fecal samples from five healthy subjects and a standard mock community. In addition, the DNA extraction method influenced DNA biomass, quality, and the detection of specific lineage-associated diseases. Sample operating approach and batch effects should be considered for cohorts with large sample size or longitudinal cohorts to ensure that source data were appropriately generated and analyzed. Comparison between samples processed with inconsistent methods should be dealt with caution. This study will promote the establishment of a sample operating standard to enhance our understanding of microbiome and translating in clinical practice.IMPORTANCEThe reproducibility of human gut microbiome studies has been suboptimal across cohorts and study design choices. One possible reason for the disagreement is the introduction of systemic biases due to differences in methodologies. In our study, we utilized microbial metagenomic data sets from 2,722 fecal samples generated from a single research center to examine the extent to which sample storage and DNA extraction influence the quantification of microbial composition and compared this variable with other sources of technical and biological variation. Our research highlights the impact of DNA extraction methods when analyzing microbiome data and suggests that the microbiome profile may be influenced by differences in the extraction efficiency of bacterial species. With metagenomics sequencing being increasingly used in clinical biology, our findings provide insight into the challenges using metagenomics sequencing in clinical diagnostics, where the detection of certain species and its abundance relative to a "healthy reference" is key.

The Application of Digital Marketing in the Operation and Development of Pet Stores in China

Pet stores have both opportunities and challenges as a result of the notable rise of the pet sector in China in recent years. Pet stores are increasingly using digital marketing techniques to successfully navigate this changing environment. The development and functioning of pet stores in China heavily depend on the use and impact of internet marketing. Pet stores can obtain a competitive edge in a highly competitive industry by studying digital marketing methods that will improve their brand awareness, customer engagement, sales growth, and operational efficiency. This study examines the use of digital marketing and its effects on the growth and operation of pet stores in China, analyzing and summarizing the body of prior research in the field. It studies at different consumer traits, profitability tactics, and operational methods. The effectiveness of several digital marketing techniques, such as content, display, search, and social media marketing, is also examined in this article. The study found that pet stores can improve their operational efficiency and brand awareness, customer engagement, and sales by implementing digital marketing methods. Social media marketing, search marketing, display marketing, and content marketing all demonstrate high effectiveness in achieving business objectives. All things considered, internet marketing gives pet stores the vital resources and techniques they need to overcome market obstacles.

An operational risk assessment method for petrochemical plants based on deep learning

The petrochemical industry is an important guarantee for the development of people’s lives, and the operational risk assessment method of personnel in the operation of petrochemical enterprises is the most important. Based on a deep learning algorithm, a new method based on the micro-Doppler effect and fuzzy analytic hierarchy process is proposed to evaluate the operational risk of personnel in petrochemical enterprises. The original monitoring image of petrochemical equipment is invoked, and micro-Doppler analysis is performed based on the original image to identify the activity target of the personnel on the job site and generate the activity map of the petrochemical plant operators. Based on the analysis data of the micro-Doppler effect, the fuzzy function and hierarchical analysis method are combined. The fuzzy theory is introduced into the analytic hierarchy process, and the inherent expert evaluation scores are transformed into fuzzy numbers. It makes the expert evaluation of petrochemical plants more accurate in the subsequent coupling and improves the objectivity of the traditional analytic hierarchy process. The scheme proposed in this paper can monitor real-time operation safety and provide a guarantee for the personal safety of field operators. This method plays an important role in improving the safety of petrochemical plants.

Determination of the Modal Parameters of the Historical Elevated Water Tank Using Experimental and Numerical Methods

Determining the modal parameters of historical buildings is crucial for understanding their dynamic behavior, which is essential for their preservation and safety for future generations. Experimental and numerical studies are commonly used to characterize modal properties such as natural frequencies and mode shapes. Experimental studies typically employ the operational modal analysis method, while numerical studies employ the finite element method. Vibration measurements of the structure under various environmental conditions, including wind and traffic, were used to determine the modal parameters. However, discrepancies often arise between modal parameters obtained from experimental research and those assessed by finite element models, primarily due to unknown factors like boundary conditions and material properties. The purpose of this study was to measure the vibrations of a historic elevated water tank a 150-year history under ambient conditions to determine its modal characteristics. Comparing the modal parameters obtained from numerical and experimental investigations revealed that the water tank's finite element model requires updating to align with the findings of the experimental modal study. Using the updated finite element model in future evaluations or assessments of the structure can lead to a better understanding of the behavior of the structure.

Towards a 2DEnVar surface data assimilation approach within the convective scale numerical weather prediction model AROME‐France

AbstractSurface data assimilation (DA) plays a key role in the initialisation of soil variables in coupled surface–atmosphere numerical weather prediction (NWP) models. Météo‐France, as many other NWP centres, uses an operational surface DA method based on an optimal interpolation (OI), implemented more than 30 years ago. The current surface DA system implemented at Météo‐France in the operational limited‐area AROME‐France model operates in two steps. First, a two‐dimensional OI method analyses the diagnostic screen‐level parameters, which are then used to initialise the prognostic soil variables according to a one‐dimensional OI method. This article presents the implementation and the results of a new two‐dimensional ensemble‐based variational (2DEnVar) system, using the object‐oriented prediction system framework, for the diagnostic screen‐level variable analyses (2‐m temperature and 2‐m relative humidity) within the AROME‐France model. These analysed variables are then used to initialise the soil temperature and soil moisture of the first and second soil layers. A two‐dimensional variational system is initially implemented and compared with an equivalent system that uses an OI surface analysis. The comparison of 2‐m temperature increments shows that the two systems behave in a similar way. From this two‐dimensional variational approach, a 2DEnVar scheme is developed and compared with the OI screen‐level analysis used operationally (reference system). The results are encouraging even though a degradation in forecast quality is noticed at short ranges for 2‐m temperature and 2‐m relative humidity. This is mainly due to a low spread near the surface in the ensemble‐based data assimilation that is used to compute background‐error covariances in 2DEnVar. Sensitivity tests have been performed to improve the initial version of the 2DEnVar scheme. A positive and significant impact is noticed when a multiplicative inflation is applied to the background perturbations coming from the ensemble‐based data assimilation for the computation of 2‐m temperature and 2‐m relative humidity background‐error covariances. Finally, when comparing the inflated 2DEnVar system with the reference, the two systems behave similarly. This suggests that the 2DEnVar scheme, based on ensemble statistics, is capable of properly reconstructing background‐error structures derived from the empirical correlations described in OI.

Application and Research of Intelligent Multi-source Information Fusion Technology in Firefighting Equipment

As modern firefighting environments become increasingly complex, traditional firefighter equipment and operational methods are no longer adequate to address the high-risk challenges of fire rescue operations. Fire scenes are characterized by complex and hazardous environmental factors, with firefighters facing multiple threats such as extreme temperatures, dense smoke, and toxic gases. Therefore, ensuring the safety and efficiency of firefighters is of paramount importance. This study integrates multiple sensor technologies to enable real-time monitoring of firefighters' physiological status, posture changes, and fire scene conditions. The system incorporates ErgoLAB wireless ECG and PPG sensors, the BWT61CL posture sensor, and the MAG14mini infrared camera, which are capable of simultaneously capturing key physiological data and heat distribution in the fire scene. To ensure data accuracy and real-time performance, the study employs efficient signal preprocessing techniques, including noise reduction, baseline correction, and time synchronization. In addition, wireless transmission technology and multimodal data fusion algorithms are utilized to comprehensively analyze the firefighters' status and fire scene conditions. This approach significantly enhances the precision of firefighter safety monitoring and operational efficiency, demonstrating substantial innovation and practical value.

ANALYSIS OF THE REGULATORY AND METHODOLOGICAL APPARATUS FOR CARRYING OUT TESTS OF ARMORED TANK AND VEHICLE EQUIPMENT TO THE INFLUENCE OF EXTERNAL MECHANICAL AND CLIMATE FACTORS

In the work is carried out an analytical study of normative and methodical support of the processes of testing armored and automobile vehicles to the influence of climatic and mechanical factors. Unsolved aspects of the testing are highlighted. The advantages and disadvantages of conducting tests of military equipment and its components on the influence of external mechanical and climatic factors have been identified for national standards of Ukraine and national standards harmonized with international standards in order to form the direction of further improvement of the regulatory and methodical apparatus to increase the accuracy and reliability of equipment evaluation in operating conditions. The need to improve test methods based on increasing the accuracy and reliability of equipment evaluation during laboratory tests is substantiated. The provisions of foreign military standards, which are used in Ukraine and the world as basic – STANAG 4370, MIL-STD-810 were analyzed. Based on the analysis of these standards, which include requirements for conducting tests, methods, procedures and acceptance criteria for equipment in operational conditions, the direction and method of improving test methods is determined. Prospective directions for ensuring standardization in the process of testing are outlined, in which there is a high need to maintain a high level of reliability and efficiency of armored and automobile vehicles in operational conditions. The need to adapt standards to modern challenges and threats has been established by optimizing test methods in conditions that are as close as possible to real ones, as well as using the latest technologies to improve the processes of monitoring the state of equipment.

Descriptive Epidemiology and Management of Perilunate Injuries.

Perilunate injuries and dislocations, typically caused by high-impact trauma, can lead to acute compression of the median nerve and subsequent complications if left untreated. This study examines the epidemiology, injury mechanisms, immediate treatment, and need for carpal tunnel release in such cases. Perilunate injuries at a single level 1 trauma center were retrospectively reviewed from 2014 to 2023. Data on patient demographics, injury mechanism, initial management, and operative management were collected. Thirty-three cases were analyzed, averaging 33.9 years in age. Injury mechanisms included falls (24% each from 0 to 10 feet and >10 feet, and motor vehicle accidents), bicycle-auto collisions or assaults (10%), pedestrian-auto collisions (5%), and 1 crush injury (3%). Most cases involved trans-scaphoid perilunate dislocation (predominantly Mayfield 3). Initial reduction in the emergency department succeeded in 60% of cases, with 48% showing median nerve paresthesias. Thirty-three percent underwent surgery within 24 hours, and 95% required operative intervention, including open reduction internal fixation (56%), open reduction with percutaneous pinning (30%), and closed reduction with percutaneous pinning (7%). Fifty-two percent needed carpal tunnel release. Prompt evaluation and treatment are crucial for perilunate injuries. If initial reduction fails, urgent operative intervention is warranted, although delayed management may be appropriate in some cases. Various operative fixation methods exist for realigning carpal bones, emphasizing the importance of tailored approaches to individual cases.

Advancing ethanol content determination in hydrogels: non-destructive and operational methods for health and criminal inspections.

The significance of accurate determination of ethanol content in hydrogel formulations was accentuated during COVID-19 pandemic coinciding with the heightened demand for sanitizing agents. The present article proposes three robust methodologies for this purpose: Fourier Transform Infrared Spectroscopy (FTIR), Raman spectroscopy, and Densitometry with matrix effect correction by Near-Infrared Spectroscopy (NIR). All three methods demonstrated outstanding linearity (R2 ≥ 0.99) and minimal errors (< 1.7%), offering simplicity and operational efficiency. FTIR and Raman, being non-destructive and requiring minimal preparation, enable practical on-site analysis capabilities, underscoring the potential of the spectroscopic methods to expedite health investigations and inspections, empowering on-site ethanol determination, and relieving the burden on official laboratories. Additionally, the densitometry with NIR-based approach showcased superior accuracy and precision compared to spectroscopic methods, meeting validation criteria while offering operational advantages over the costly official distillation-based method. Therefore, it stands as a reliable and reproducible technique for comprehensive health and criminal compliance assessments, making it a compelling alternative for both industry and official laboratories.

Treatment of an Overcorrected Ear After Previously Performed Otoplasty.

No single otoplasty technique can be applied to all prominent ear deformities. The factors determining the type of operative method are based on the surgeon's preference for and confidence in the technique as well as long-term results. However, all cutting or scoring techniques include a risk of development of undesired edges, defects, or deformities on the ear being operated on. One of the patients' complaints and dissatisfactions after otoplasty is an overcorrected ear in its upper half. This condition leads to the loss of helix and prominent and conspicuous crus superior and antihelix. The article presents a simple and successful surgical procedure for correction of the condition.

IDENTITY OF AN ENTERPRISE AS A DISTINCT VALUE IN A CULTURE OF HIGH TOLERANCE FOR UNCERTAINTY

The identity of an enterprise, once overlooked by theorists, has gained significant attention across multiple disciplines, including management, sociology, and economics. In today’s dynamic business landscape, especially within cultures of high tolerance for uncertainty, corporate identity has emerged as a crucial element for success. Such cultures, characterized by flexibility, openness to change, and risk acceptance, require companies to establish a strong identity to navigate uncertainty and maintain coherence. Corporate identity integrates values, goals, culture, and operational methods, ensuring the company remains distinct and trustworthy amid constant change. This research aims to explore the theoretical and practical aspects of corporate identity as a distinct value in a culture with high tolerance for uncertainty, emphasizing its role in strategic decision-making and adaptability. The study is based on an interdisciplinary theoretical framework, utilizing general and specialized scientific research methods. These methods, including system analysis, theoretical generalization, and qualitative approaches, were employed to highlight challenges related to corporate identity and offer solutions. The research also incorporates perspectives from psychology, sociology, and management to analyze how identity functions in uncertain environments. The study highlights several factors contributing to the importance of corporate identity: cultural diversity, mission and values, image and reputation, organizational culture, management style, innovation capacity, and communication processes. It was found that companies with a well-defined identity are better equipped to manage risks, adapt to market changes, and build long-term relationships with stakeholders. A strong corporate identity enhances employee motivation, stakeholder trust, and the ability to innovate, thereby fostering a competitive edge in uncertain environments. The findings underscore the significance of corporate identity as a strategic asset in managing uncertainty. In today’s globalized, rapidly changing market, businesses must prioritize the development and maintenance of a clear, cohesive identity to ensure resilience and sustainability. Future research should focus on further exploring the role of corporate identity in different cultural contexts and its impact on long-term competitiveness and innovation.

Operating modal parameter identification of railway vehicle bogie based on k-value optimization variational mode decomposition and second-order blind identification method

Due to the variable operating conditions and strong background noise, the accuracy of modal parameter identification of the railway vehicle bogie is low. This paper proposes a method for identifying operational modal parameters by combining the K-value optimization variational mode decomposition (KVMD) and second-order blind identification (SOBI) method (KVMD–SOBI method). Firstly, the variational mode decomposition (VMD) algorithm is used to adaptively decompose a single-channel vibration signal into intrinsic mode function (IMF) components with different scale characteristics. The feature IMF components are selected through the K-value optimization method based on energy ratio and stability graph. Then, the SOBI algorithm is used to separate the matrix composed of the feature IMF components. And the mode shape and single-mode signal are obtained. Finally, the natural frequency and damping ratio of each order mode are extracted by the single-mode parameter recognition method. Through simulation and experimental verification, it is shown that the proposed method has good noise robustness and can effectively identify the first three modal parameters of railway vehicle bogies in variable-speed operation. At the same time, the feature IMF components extracted by KVMD algorithm eliminate the sensitivity of sensor installation positions and operating conditions to detection results. Therefore, this method is an excellent operational mode identification method based on a single-channel signal with good noise and working condition robustness.

Development of the Combined Operations Method to Improve the Efficiency of Block Encryption

Real-time information protection requires the implementation of special methods aimed at providing reliable and fast encryption algorithms to protect personal and corporate information from unauthorized access. With the growth of data volumes and the speed of their processing, the importance of effective encryption methods increases significantly. One of the common, reliable and well-known encryption algorithms is AES (Advanced Encryption Standard), also known as Rijndael, which is a symmetric block cipher. AES has high efficiency and cryptoresistance and is suitable for processing large volumes of data. The reliability and speed of encryption and decryption using the AES algorithm depends on the size of the key and the data. This paper proposes to improve algorithm of symmetric block encryption AES to provide faster data processing. The possibility of combining mathematical operations that have a similar principle of processing elements is shown. This approach made it possible to reduce the processing time for data encryption and decryption compared to known implementations. A comparative analysis of the practical implementation of the standard and optimized AES cryptoalgorithms has been carried out. The general principles of the proposed method are to transform all two-dimensional arrays into one-dimensional arrays, add auxiliary tables for ShiftRows and MixColumns operations, and combine operations with similar element processing principles. The simulation results showed that the modified implementation of the AES algorithm demonstrates a reduction in processing time of up to 50% when encrypting and up to 75% when decrypting data compared to known results