Tool For Control Research Articles

A Tool of Sustainable Control of Groundwater Resources: Underground Dams

Climate change, global warming and drought have been on the world agenda since the first years of the 21st century. Türkiye, which has a semi-arid climate, has also experienced periodic droughts. One of the most economical and effective measures for the sustainability of water use is underground dams. An underground dam is constructed as a barrier that blocks groundwater flow to retain and store water in a porous and permeable underground environment. Although underground dams have moderate disadvantages, they are one of the most effective groundwater management methods for efficient and sustainable use of water. As in many countries, the construction of underground dams is on the agenda in Türkiye and there are many underground dams under construction. Moreover, the "Underground Dams Action Plan" (YBEP) is a project announced by the Minister of Agriculture on 22 July 2019 with the slogan "100 underground dams in honor of the 100th anniversary of the Republic of Türkiye". This article aims to emphasize underground dams as a useful tool for sustainable water management. Moreover, there is no literature and database containing statistical data on the number and location of underground dams in developed and developing countries in the world. In this article, it is aimed to make a brief review of underground dams in the world and to contribute to the literature by presenting data on the number and location of current underground dams in Türkiye.

Dual genetic level modification engineering accelerate genome evolution of Corynebacterium glutamicum.

High spontaneous mutation rate is crucial for obtaining ideal phenotype and exploring the relationship between genes and phenotype. How to break the genetic stability of organisms and increase the mutation frequency has become a research hotspot. Here, we present a practical and controllable evolutionary tool (oMut-Cgts) based on dual genetic level modification engineering for Corynebacterium glutamicum. Firstly, the modification engineering of transcription and replication levels based on RNA polymerase α subunit and DNA helicase Cgl0854 as the 'dock' of cytidine deaminase (pmCDA1) significantly increased the mutation rate, proving that the localization of pmCDA1 around transient ssDNA is necessary for genome mutation. Then, the combined modification and optimization of engineering at dual genetic level achieved 1.02×104-fold increased mutation rate. The genome sequencing revealed that the oMut-Cgts perform uniform and efficient C:G→T:A transitions on a genome-wide scale. Furthermore, oMut-Cgts-mediated rapid evolution of C. glutamicum with stress (acid, oxidative and ethanol) tolerance proved that the tool has powerful functions in multi-dimensional biological engineering (rapid phenotype evolution, gene function mining and protein evolution). The strategies for rapid genome evolution provided in this study are expected to be applicable to a variety of applications in all prokaryotic cells.

Газовый масс-спектрометрический анализ промышленных йогуртов

Food safety and quality are especially important in the dairy industry. Mass spectrometry is an effective tool of state control in this sphere. The research objective was to study the prospects for gas mass spectrometry with smart mathematical processing in assessing the composition and quality of dairy products. The study featured 11 samples of fresh and acidified yoghurts from different manufacturers and with various starters, functional food additives, etc. These samples and their packaging were evaluated using a small-sized quadrupole gas mass spectrometer MS7-200 with electron impact ionization developed at the Institute for Analytical Instrumentation, Russian Academy of Sciences. The data obtained were mathematically processed by the method of principal components. Based on the ratios of peak intensities at m/z = 55, 56, 57, 58, 59, 60, 61, 64, 67, 69, 70, 71, 72, 73, 74, 84, 85, and 88 Da, the fresh and expired samples were classified not only by the degree of freshness, but also by the composition and quality of the microbiological starters, raw materials, food additives, etc. In addition, some packaging materials proved to be of poor quality. In this study, the method of gas mass spectrometry was supplemented by the authentic methods for selecting gas emissions from yoghurts and packaging, accelerated acidification, and smart mathematical processing. The approach proved to be time-saving, sensitive, selective, available, and cost-effective. As a result, it demonstrated good potential as a means to control the composition and quality of dairy products and their packaging.

Quantitative Assessment and Validation of Groundwater Pollution Risk in Southwest Karst Area

AbstractGroundwater pollution risk assessment is a useful tool for groundwater pollution prevention and control. However, it is difficult to accurately quantify groundwater flow and contaminant fluxes in karst areas and different types of karst areas have different hydrogeological characteristics. Therefore, the assessment of groundwater pollution risk in karst areas must use different assessment indicator systems. This study developed a new methodology that modified the vulnerability assessment model PLEIK, determined pollutant fluxes considering hydrogeological conditions, and revised parameter weights using the random forest method. The resulting PLEIKD-RF model was used to assess the risk of groundwater contamination in the southwestern karst region and its validity was verified. The results showed that the groundwater pollution risk in the region was low, with 65.64% of the low and relatively low risk areas located in the middle and high mountainous regions. 11.81% of the high and relatively high risk areas were sporadically located in the western and central regions, which were mainly controlled by the distribution of the pollution sources and the karst development. The accuracy of the results of groundwater pollution risk assessment in the study area was 71.87% as verified by the horizontal difference method. The results of the sensitivity analysis indicated that accurate, detailed, and representative data on the protective layer, surface water-groundwater interactions, and pollution source loads would improve the accuracy of groundwater pollution risk zoning. This assessment method provided a reference for similar assessments and the results provide a basis for the protection and management of groundwater resources in the region.

Cost of Quality Management: Encouraging Business Leaders to Manage and Invest in Quality Enhancement

The quality management is a complex set of constant activities aimed at improving the quality of products and services, regularly evaluating and monitoring it, preventing defects, limiting and reducing malfunctions, and correcting production defects before and after the sale of goods. Ineffective quality management leads to such problems as product returns, claims, replacement or repair, loss of customer base, damage to brand reputation, etc. This paper aims to analyze advanced strategies, methodologies, methods and tools for effective control of quality management costs, ways and means of their strategic integration into the practice of business quality management, emphasize the importance of optimizing the cost of quality management in enterprises. The proposals developed in this article are demonstrated on the example of the woodwork division of MEKKERA (MDM), a subsidiary of the HASNAOUI Group in Algeria. An approach represented in the article combines qualitative and quantitative methods. Qualitative data collection involved semi-structured interviews with four company managers, processed using NVIVO software. The purpose of these interviews was to understand the reasons that led the company to include the evaluation of the Cost of Quality in its quality objectives for 2023, as well as the perspectives and goals aimed for by the company in this initiative. A Quantitative analysis relied on secondary data from the company’s database: direct quality costs were calculated using the P-A-F and Ferrebœuf models, prevention and detection measures’ effectiveness and production process performance were evaluated; key performance indicators for indirect quality acquisition costs were defined. Findings revealed the company exceeded set thresholds for internal and external failure costs, necessitating improvements. Ishikawa method identified causes, and corrective actions were proposed using Failure Mode and Effects Analysis (FMEA).

A robust ultra performance liquid chromatography method for dacarbazine quantification in nanosponge formulation: A quality by design approach

A new, user-friendly Ultra Performance Liquid Chromatography (UPLC) method was developed using Analytical Quality by Design (QbD) for precise analysis of Dacarbazine in both bulk powder and Dacarbazine-loaded Nanosponges. This method follows ICH guidelines and uses a statistically designed approach to optimize the separation conditions for Dacarbazine. A central composite design was implemented to identify the ideal combination of organic solvent (mobile phase composition) and flow rate. The UPLC method was successfully optimized for rapid separation (1.3 minutes) for Dacarbazine using a mobile phase consisting of 70% Methanol: 30% Orthophosphoric acid (0.1%) at a flow rate of 1.0 mL/min, using a Hypersil C18 column. The method exhibited excellent linearity with a correlation coefficient value of 0.997 across a concentration range of 4-20 μg/mL, accuracy (drug recovery of 96-100%) and sensitivity (LOD 1.15 μg/mL, LOQ 3.50 μg/mL) and it successfully quantified the drug in the formulated Dacarbazine-loaded Nanosponges. This QbD-driven UPLC method offers a valuable tool for reliable Dacarbazine quality control in pharmaceuticals providing rapid analysis, high accuracy, and low detection limits.

History Chronicles: A Tribute to Peter Armitage

Peter Armitage CBE recently passed away (February 2024). He was a pio¬neer in medical statistics and was best known for his innovative developments in clinical trial design and analysis, especially the use of sequential analysis and optimal stopping decision criteria. Sequen¬tial analysis was originally devised as a tool for industrial quality control, and it was Armitage’s genius to recognize its importance for medical research. This column includes tributes and memories of Armitage’s life and accomplishments.

Pengembangan Keterampilan Pengendalian Manajemen bagi Usaha Mikro, Kecil, dan Menengah Kota Mojokerto

Purpose – This community service program is motivated by the need for strategic and technical knowledge and skills from MSMEs participating in business incubation under the Government of Mojokerto City. With the local government’s vision to create a business that strengthens the community’s economy, MSMEs must have sufficient knowledge in managing their business. Yet, the government's current identification shows a lack of managerial knowledge of the MSMEs. For this reason, this community service program proposes a solution to this issue by developing management control skills for micro, small, and medium enterprises in Mojokerto City in partnership with the Office of Cooperatives, SMEs, Industry, and Trade of the Mojokerto City. Design/methodology/approach – The program’s design includes three stages: preparation of materials, conduction of training, and publication of results. Material preparation consists of the preparation of training materials and handbook drafts, which will then become one of the outputs of this program. Meanwhile, the activities’ implementation consists of pre-tests, training material provision, and post-tests after activities. The results publication stage comprises processing, analyzing, and presenting training results data and finalizing the handbook. Findings – The goals of this program are concluded successful in achieving the intended outcomes. The training program for MSMEs demonstrates that knowledge of management control tools is key to their application in business processes. Furthermore, another important key is understanding SMEs’ benefits and perceived ease in using specific tools. It shows that holding similar training on business management strengthening is crucial for MSMEs to encourage increased performance through more professional management practices. Originality/value – This paper is novel and original to the best knowledge of the authors since the training program on management control was the first held in the local government of Mojokerto City.

PENGEMBANGAN SISTEM TERINTEGRASI BERBASIS IOT (INTERNET OF THINGS) UNTUK MONITORING DAN KONTROL KUALITAS AIR PADA BUDIDAYA TAMBAK UDANG DARATAN

Water quality is very important for the sustainability of a shrimp farm, starting from the quantity and quality of shrimp harvested is very influential on the good quality of the pond water. The water quality in question is parameters such as water turbidity, a lot or clean of dirt in the pool, a pH value that suits your needs and ammonia content in the pond which is usually produced from shrimp manure. This research designed a water quality monitoring and control tool in shrimp ponds that is integrated automatically through an IoT-based system (Internet of Things) using the thingspeak application as a server and telegram bots as controls. Based on the results of tests that have been carried out, the tool has been able to determine the quality of water correctly. The error percentage was 0.01% for turbidity sensors, 0.05% for TDS sensors, 0.01% for pH sensors and 0.12% for ammonia gas sensors. Based on the results of direct data collection on shrimp ponds for 6 hours, the average value of water turbidity was 3.06 NTU, the lowest was 1.07 NTU and the highest was 5.99 NTU, for the average value of TDS content was 170.98 ppm, 150.00 ppm was the lowest and 204.12 ppm was the highest, for the average pH content was 7.80, the lowest was 7.50 and the highest was 8.74, and the average value of ammonia content was 0.004 ppm, 0.0007 ppm is the lowest and 0.0113 is the highest.

From Swiffers to Solutions: The Impact of Environmental Sampling in the Veterinary Medical Center at OSU

Background: In 2018, the Ohio State University College of Veterinary Medicine (OSU CVM) implemented an Antimicrobial Stewardship Program, central to which was the integration of an environmental surveillance (ES) program. The ES focuses on pathogens recognized as urgent threats to public health by the Centers for Disease Control and Prevention. The pathogens currently targeted include carbapenemase-producing Enterobacterales (CPE), Salmonella spp., methicillin-resistant Staphylococcus spp. (MRSs), vancomycin resistant Enterococcus spp., and enrofloxacin resistant Pseudomonas aeruginosa. Identification of these pathogens allows the hospital to be aware of the local environmental microflora which can act as a sentinel for disease in the hospital, potentially causing healthcare associated infections. Therefore, the objective of this program is to identify resistant bacterial pathogens, characterize their resistance profiles, analyze prevalence patterns, and initiate infection control interventions where needed in the OSU VMC. Method: From January 2018 through December 2023, a total of 5449 samples were collected from approximately 86 locations across the OSU VMC encompassing the small animal, equine, and farm animal sections. A majority (64%, n=3561) of samples were collected from the small animal hospital, with the farm animal section contributing 1055 samples and the equine section 899. Areas sampled were frequented by both humans and animals, as well as surfaces exclusively touched by humans. Samples were collected using Swiffers® and processed through selective culture media. Result: Approximately half (52%, n=2890) of the samples collected represented human-touch only surfaces. A total of 3794 bacterial isolates were recovered, with an overall low prevalence for all targeted pathogens. Prevalence of CPE was 2% (n=103), with Enterobacter species being the most common. Recovery of MRSs was 8.5% (n=464) and Salmonella species was 1% (n=47). Conclusion: Through this initiative, the equine division of the OSU VMC collaborated with the antimicrobial stewardship team to enhance their Salmonella fecal and ES practices. In 2019, ES was critical in identifying persistent CPE and extended-spectrum cephalosporin-resistant Enterobacteriaceae in the ICU and surrounding areas of the small animal hospital. Effective measures were taken to halt the spread of ESC among patients and eliminate CPE in the environment. With the discovery of a new CPE in early 2023 in the small animal ICU and nearby areas, the program initiated targeted ES and cleaning and disinfection protocols, to identify contaminated areas and control disease transmission. These efforts have increased patient safety, health, and well-being, demonstrating how ES can be an important tool for infection control and prevention in veterinary settings.

Accounting for observation noise in equation‐free forecasting: The hidden‐Markov S‐map

Abstract Ecosystems contain numerous species interacting with each other and the environment. However, data on all relevant state variables is rarely available, hampering inference and prediction. Empirical dynamic modelling (EDM) is a valuable tool for prediction, inference and control in such partially observed systems. However, EDM typically assumes that the available time series are observed without error. Failing to account for observation noise strongly biases estimates of Lyapunov exponents and reduces forecast accuracy. To address this limitation, we propose incorporating EDM into a hidden Markov framework and using an iterative scheme based on the expectation maximization (EM) algorithm to obtain filtered state and parameter estimates. We evaluate the performance of this approach on several simulated dynamical systems with a range of additive noise levels, as well as on insect population time series. Accounting for observation noise improved accuracy of population forecasts and estimates of Lyapunov exponents (LE) over a wide range of noise levels relevant to ecological time series.

Investigation of Hybrid Laminar Flow Control Capabilities from the Flight Envelope Perspective

The present work conducts a multifidelity aerodynamic design of a medium-range commercial aircraft wing featuring hybrid laminar flow control (HLFC) technology. The design was performed to investigate the capabilities of the HLFC, considering the entire design flight envelope, low-speed performance requirements, and various potential mission scenarios. A combination of medium-fidelity aerodynamic design tools for laminar flow control using MSES-COCO-LILO, CFD RANS for high-lift cases, the quasi-three-dimensional for database generations, and SUAVE for mission analysis were used to design and assess aircraft’s performance with the HLFC wing. Studies of the design objective demonstrated a conflict between friction and compressibility drag that strongly affects the design objective function and the wing performance at various off-design conditions. A strong dependence of HLFC on flight conditions was observed to indicate technology performance limitations and a tradeoff between airplane emissions, range, and costs. Finally, a comparison of medium- and low-fidelity performance results showed deviations in the design fuel burn of 4%, a minimum possible harmonic range difference of 3%, and direct operating costs of 2%. The outcome suggests the need for better compressibility and parasite drag models for early design stages to accurately model the HLFC technology without introducing complicated methods at the first sizing steps.

Unveiling the potency of ready-to-use brodifacoum blocks in lesser bandicoot rats: exploring toxicity, blood clotting factors, and organ histology.

The present study unveiled the effectiveness of ready-to-use brodifacoum blocks (0.005%) against the prevalent field rat species in southeast Asia, Bandicota bengalensis. Brodifacoum, a more potent second-generation anticoagulant, offers a solution for managing rodents resistant to other anticoagulants of its class. Male and female bandicoot rats caught wild were exposed to brodifacoum for 1, 2, and 3days in both the no-choice and bi-choice tests. The observations included mortality rates, impact on body weight, food consumption, blood clotting factors, organ weights, and histological changes. Results indicated 100% mortality within 2-3days in the no-choice tests, and 50.00%-83.33% mortality in the bi-choice tests within 5 to 8days. The median lethal feeding periods were determined to be 2.10 and 2.33days for male and female rats, respectively. Toxicity symptoms included bleeding from the nose, gums, and feet. While no significant effects were observed on body weight or organ weights, food consumption decreased notably in no-choice tests. Additionally, significant increases in prothrombin time and activated partial thromboplastin time were noted 24h post-treatment in the no-choice tests, with post-treatment international normalized ratios of 9.45-14.20 and 1.52-3.03 in the no-choice and the bi-choice tests, respectively. Histological analysis revealed mild to severe necrotic changes in the liver and kidneys after brodifacoum treatment. Overall, this study underscores the potential of ready-to-use brodifacoum blocks as an effective tool for rodent population control, offering a viable alternative to other second-generation anticoagulant rodenticides.

High-Throughput Fluorometric Assay For Quantifying Polysorbate In Biopharmaceutical Products Using Micelle Activated Fluorescence Probe N-Phenyl-1-Naphthylamine.

Polysorbates are among the most used surfactants in biopharmaceutical products containing proteins. Our work aims to develop a high-throughput fluorometric assay to further diversify the analytical toolbox for quantification of PSs. The assay leverages the micelle activated fluorescence signal from N-Phenyl-1-Naphthylamine (NPN). The development and optimization of assay parameters were guided by the pre-defined analytical target profile. Furthermore, NMR was used to probe the interaction between protein, PS80 and NPN in the measurement system and understand protein interference. All assay parameters including excitation and emission wavelengths, standard curve, NPN concentration, and incubation time have been optimized and adapted to a microplate format, making it compatible with automated solutions that will be pursued in the near future to drive consistency and efficiency in our workflows. The specificity, accuracy, and precision of the assay have been demonstrated through a case study. Furthermore, NMR results provided additional insight into the change of the interaction dynamics between PS80 and NPN as the protein concentration increases. The results indicate minimal interaction between the protein and PS80 at lower concentration. However, when the concentration exceeds 75mg/mL, there is a significant interaction between the protein and PS-80 micelle and monomer. A high-throughput fluorometric assay has been developed for quantification of polysorbates in biopharmaceutical samples including in-process samples, drug substance and drug product. The assay reported herein could serve as a powerful analytical tool for polysorbate quantification and control, complementing the widely used liquid chromatography with charged aerosol detection method.

Ending the HIV Epidemic in Metropolitan Atlanta: a mixed-methods study to support the local HIV/AIDS response.

Four counties within the Atlanta, Georgia 20-county eligible metropolitan area (EMA) are currently prioritized by the US "Ending the HIV Epidemic" (EHE) initiative which aims for a 90% reduction in HIV incidence by 2030. Disparities driving Atlanta's HIV epidemic warrant an examination of local service availability, unmet needs and organizational capacity to reach EHE targets. We conducted a mixed-methods evaluation of the Atlanta EMA to examine geographic HIV epidemiology and distribution of services, service needs and organization infrastructure for each pillar of the EHE initiative. We collected 2021 county-level data (during June 2022), from multiple sources including: AIDSVu (HIV prevalence and new diagnoses), the Centers for Disease Control and Prevention web-based tools (HIV testing and pre-exposure prophylaxis [PrEP] locations) and the Georgia Department of Public Health (HIV testing, PrEP screenings, viral suppression and partner service interviews). We additionally distributed an online survey to key local stakeholders working at major HIV care agencies across the EMA to assess the availability of services, unmet needs and organization infrastructure (June-December 2022). The Organizational Readiness for Implementing Change questionnaire assessed the organization climate for services in need of scale-up or implementation. We found racial/ethnic and geographic disparities in HIV disease burden and service availability across the EMA-particularly for HIV testing and PrEP in the EMA's southern counties. Five counties not currently prioritized by EHE (Clayton, Douglas, Henry, Newton and Rockdale) accounted for 16% of the EMA's new diagnoses, but <9% of its 177 testing sites and <7% of its 130 PrEP sites. Survey respondents (N = 48; 42% health agency managers/directors) reported high unmet need for HIV self-testing kits, mobile clinic testing, HIV case management, peer outreach and navigation, integrated care, housing support and transportation services. Respondents highlighted insufficient existing staffing and infrastructure to facilitate the necessary expansion of services, and the need to reduce inequities and address intersectional stigma. Service delivery across all EHE pillars must substantially expand to reach national goals and address HIV disparities in metro Atlanta. High-resolution geographic data on HIV epidemiology and service delivery with community input can provide targeted guidance to support local EHE efforts.

The safety of overdose and repeat administrations of BCG Danish strain 1331 vaccine in calves and pregnant heifers

Bovine tuberculosis (bTB), caused by Mycobacterium bovis infection, is a zoonotic disease in cattle that represents a significant ongoing challenge to cattle farming productivity and the livelihoods of livestock farmers in the UK. Vaccination of cattle with BCG could directly target the ability of M. bovis to proliferate within vaccinates, restricting bTB pathogenesis and onward disease transmission, and represent a step change in the tools available to help control bTB in farmed cattle. A Marketing Authorisation (MA) is required before a cattle BCG vaccine could be sold and supplied as a veterinary medicine within the UK and this requires comprehensive data supporting vaccine quality, efficacy and, most importantly, its safety. We carried out two independent Good Laboratory Practice (GLP) studies in which the safety of BCG vaccination in cattle was stringently tested through overdose and repeat vaccine administrations in young calves and pregnant heifers. Mild and generally short-lived reactions to vaccinations were observed in some animals, most commonly increases in body temperature and swelling at vaccine injection sites, but these did not have a negative impact on the overall health status of vaccinates. BCG was not shed in the saliva, faeces, milk or urine from vaccinated animals and its dissemination was limited to injection site tissues and associated lymph nodes. Overall, young calves and pregnant heifers vaccinated with BCG remained in good general health, and the vaccinated pregnant heifers had normal pregnancies and gave birth to healthy calves. Obtaining a Marketing Authorisation for a cattle BCG vaccine is a critical milestone in the progress towards the eventual use of BCG vaccination in cattle as an additional bTB control tool within the UK; these pivotal GLP vaccine safety studies generated the detailed and essential target animal safety data needed to support this.

Management and Control Tools in Student Professional Integration Performance: A Case Study of Graduates from the School of Economics and Management at Yaound é Second University in Cameroon

This scientific essay focuses on management control tools in the performance of students' professional integration: the case of graduates of the Faculty of Economics and Management of the University of Yaoundé II (Cameroon). It is part of an authentic and current theme with regard to the use of internal control tools and the evaluation of the functioning of services in higher education. What is problematic here is the level of student unemployment and the need for the student to find a professional integration into the labour market. In view of this, we formulated our research problem in the form of a question as follows: What are the management control tools that determine the performance in the successful professional integration of students in the human resources management specialty? Around this main question, there is a lack of effectiveness and a lack of efficiency in the pedagogical system to manage the value-cost couple allowing students in higher education to obtain a job at the end of their academic career. In the methodological framework of our investigation, we used both the quantitative and qualitative methods. The fieldwork carried out by means of a questionnaire was carried out on a sample of (one hundred) 100 students holding a Bachelor's degree in Management Sciences from the classes of 2021 and 2022 from the Faculty of Economics and Management of the University of Yaoundé II; Data collection was conducted from 04 January to 28 March 2024. At the end of the survey, despite the government's efforts to facilitate the professional integration of students, it appears that only 30% of operational management control tools are made available to graduates to get a job, which is insignificant to facilitate the performance of the successful professional integration of graduates of the Faculty of Economics and Management. The main results obtained show that the quality of mobilization of market management tools; the value of the tools to support the management of the company and the evaluation of a model of management control tools guarantee the performance of the professional integration of graduates of the Faculty of Economics and Management. At the end of our analysis, we have suggested some possible solutions, namely: policies must seek to obtain results in the context of the objectives set, university governance must break with idleness and waste, human resources management (HRM) must adapt to a better organization for the successful professional integration of graduates of the Faculty of Economics and Management.

Conway-Maxwell-Poisson profile monitoring with rk-Shewhart control chart: a comparative study

A control chart is an essential tool in Statistical Quality Control for monitoring the production process. It provides a visual means of identifying process irregularities. In this study, we focus on the Shewhart control chart based on the rk-deviance residuals, namely rk-Shewhart control charts to examine the Conway–Maxwell–Poisson (COM-Poisson) profile, which is used to model the count data with varying degrees of dispersion. The primary goal of this study is to identify the biasing parameter that produces the best result among newly presented biasing parameters developed based on existing ones. It provides a short overview of the COM-Poisson distribution, its modeling, and rk parameter estimation in the case of multicollinearity, as well as the construction of the deviance-residual-based Shewhart chart. To evaluate the performance of the rk-Shewhart, we conduct an analysis using a real-life data set, considering various shift sizes. By employing different biasing parameters, we examine the effectiveness of the rk-Shewhart control chart. The performance evaluation outcomes of the rk-Shewhart charts are compared to the ML-deviance-based Shewhart chart and within themselves based on the biasing parameters. The results demonstrate the advantage of the rk-Shewhart charts over the ML-deviance-based control chart in detecting out-of-control signals. Among the considered biasing parameters, the rk-Shewhart chart utilizing the adjusted biasing parameter k_4 shows the best performance based on the ARL metric.

BENCH TESTS OF A CATALYTIC CONVERTER UNIT WITH A CATALYST LAYER ON THE SURFACE OF GLASS-CRYSTAL MEDIATORS

The article examines the problems of industrial gas emissions and vehicle emissions as the main sources of environmental pollution. The article focuses on the importance of catalytic conversion as a modern method of cleaning gas emissions, but points to the need for further improvement of catalytic converter designs. The authors point out the shortcomings in the production of mechanically strong and thermally stable catalysts and their carriers, as well as the limitations of existing calculation and design methods. The article experimentally shows approaches to increasing the efficiency of catalytic conversion of gas emissions, and also provides a comparative analysis of the efficiency of the developed catalytic converter and its industrial analogue. The article presents experimental research on the motor stand using the VAZ-21081i engine, presents technical characteristics and tools of control and measurement equipment. The developed catalytic converter, its design and characteristics are considered. Key attention in the article is given to the program and methodology of testing catalytic converters and processing the results: including the system for measuring temperatures, velocity and composition of the outgoing gases. In experimental studies, the influence of the load on the internal combustion engine on the temperature and speed of the flow of exhaust gases is analyzed. The analysis of the results of the experiments shows that an increase in the load on the engine leads to an increase in the temperature and speed of the flow of exhaust gases. The authors use the mathematical model of the conversion of gas emissions, developed in previous works, and experimentally prove that increasing the load on the engine contributes to more efficient purification of gases from carbon (II) oxide and hydrocarbons. The extremum of the dependence of the degree of conversion of carbon (II) oxide and hydrocarbons on engine power was revealed, where an increase in load leads to a decrease in the degree of gas purification. Comparative tests show the high efficiency of the experimental catalytic converter compared to the industrial analogue.

Improvement of the secure routing model in software-configured networks

Currently, the deployment of such network architectures as Software-Defined Networking (SDN) is facing new cyber security threats that require the development and research of new specialized solutions to increase the level of network security. Despite its high openness and programmability, the SDN architecture replaces the traditional network, but it increases the number of potential network attacks, which leads to new security problems. The growing interest in SDN and the widespread deployment of software-configured networks of various types allow identifying their shortcomings in the process of combating cyber security threats. Obviously, security issues are closely related to the characteristics of SDN networks themselves. Furthermore, security issues in SDN can be divided based on three layers: data plane, control plane, and application plane. At the same time, devices of different SDN levels can be among the objects of attacks. Therefore, according to the multilayer architecture of SDN, security threats can be classified at the data transmission, management and application layers. For its part, the data plane consists of switches and other network devices and is mainly responsible for data processing, forwarding, discarding, and collecting statistics. The data plane functions on the basis of flow rules provided by the network controller. While the main causes of security problems are the SDN architecture itself, external malicious attacks, insufficient access control and encryption tools. Today, an important place in the complex of means of increasing network security, including SDN networks, is given to routing protocols, which require the systematic and coordinated interaction of a number of network elements at the same time – SDN switches and network controllers during the formation (calculation) of paths and flow rules, along which the required level of security must be ensured according to selected indicators or criteria. The paper analyzes how to modify route metrics in such a way that the resulting model acquires the properties of secure QoS routing. It is shown that the improvement of the model and the choice of the route should be chosen taking into account the basic metrics of the criticality of vulnerabilities and the bandwidth of the communication channels that make up this route.