Modern Technology Research Articles

[Effects of Controlled-release Blended Fertilizer on Crop Yield and Greenhouse Gas Emissions in Wheat-maize Rotation System].

The increasing use of nitrogen fertilizers exerts extreme pressure on the environment (e.g., greenhouse gas emissions, GHGs) for winter wheat-summer maize rotation systems in the North China Plain. The application of controlled-release fertilizers is considered as an effective measure to improve crop yield and nitrogen fertilizer utilization efficiency. To explore the impact of one-time fertilization of controlled-release blended fertilizer on crop yield and GHGs of a wheat-maize rotation system, field experiments were carried out in Dezhou Modern Agricultural Science and Technology Park from 2020 to 2022. Five treatments were established for both winter wheat and summer maize, including no nitrogen control (CK), farmers' conventional nitrogen application (FFP), optimized nitrogen application (OPT), CRU1 (the blending ratio of coated urea and traditional urea on winter wheat and summer maize was 5:5 and 3:7, respectively), and CRU2 (the blending ratio of coated urea and traditional urea on winter wheat and summer maize was 7:3 and 5:5, respectively). The differences in yield, nitrogen fertilizer utilization efficiency, fertilization economic benefits, and GHGs among different treatments were compared and analyzed. The results showed that nitrogen application significantly increased the single season and annual crop yields of the wheat-maize rotation system (P < 0.05). Compared with those of FFP, the CRU1 and CRU2 treatments increased the yields of summer maize by 0.4% to 5.6%, winter wheat by -5.4% to 4.1%, and annual yields by -1.1% to 3.9% (P > 0.05). N recovery efficiency (NRE), N agronomic efficiency (NAE), and N partial factor productivity (NPFP) were increased by -8.6%-43.4%, 2.05-6.24 kg·kg-1, and 4.24-10.13 kg·kg-1, respectively. Annual net income increased by 0.2% to 6.3%. Nitrogen application significantly increased the annual emissions of soil N2O and CO2 in the rotation system (P < 0.05) but had no effect on the annual emissions of CH4 (except for in the FFP treatment in the first year). The annual total N2O emissions under the CRU1 and CRU2 treatments were significantly reduced by 23.4% to 30.2% compared to those under the FFP treatment (P < 0.05). Additionally, nitrogen application significantly increased the annual global warming potential (GWP) of the rotation system (P < 0.05), but the intensity of greenhouse gas emissions was reduced due to the increase in crop yields. Compared with that under FFP, the annual GWP under the CRU1 and CRU2 treatments decreased by 9.6% to 11.5% (P < 0.05), and the annual GHGs decreased by 11.2% to 13.8% (P > 0.05). In summary, the one-time application of controlled-release blended fertilizer had a positive role in improving crop yield and economic benefits, reducing nitrogen fertilizer input and labor costs, and GHGs, which is an effective nitrogen fertilizer management measure to promote cleaner production of food crops in the North China Plain.

Alchemical rhetoric: the presences and absences of the Jackling-Gemmell Report (1899) in the archives of the Anthropocene

ABSTRACT This article rhetorically investigates a missing mining report known as the Jackling-Gemmell Report. Supposedly published in September 1899, this report was the first to scientifically rationalize porphyry, or open-pit, mining methods. Based on my analysis of thousands of archival records at Stanford University’s Daniel Jackling Collection, I argue that this textual absence is sutured by the rhetorical presence of mythopoeia wherein Daniel Jackling has become mythologized as the alchemist that transformed useless rock (i.e., mountains) into pure copper for modern technology. In my analysis of relevant books, letters, and reports, I complicate the textual agency of this alleged report and show how Jackling himself created a powerful public persona as a prophetic hero that predicted the commercial success of porphyry mining. I offer the concept alchemical rhetoric to emphasize how rhetors and rhetoricians create different meanings, identities, and realities from rhetorical resources within an extractive worldview.

The biotechnological potential of the Chloroflexota phylum.

In the next decades, the increasing material and energetic demand to support population growth and higher standards of living will amplify the current pressures on ecosystems and will call for greater investments in infrastructures and modern technologies. A valid approach to overcome such future challenges is the employment of sustainable bio-based technologies that explore the metabolic richness of microorganisms. Collectively, the metabolic capabilities of Chloroflexota, spanning aerobic and anaerobic conditions, thermophilic adaptability, anoxygenic photosynthesis, and utilization of toxic compounds as electron acceptors, underscore the phylum's resilience and ecological significance. These diverse metabolic strategies, driven by the interplay between temperature, oxygen availability, and energy metabolism, exemplify the complex adaptations that enabled Chloroflexota to colonize a wide range of ecological niches. In demonstrating the metabolic richness of the Chloroflexota phylum, specific members exemplify the diverse capabilities of these microorganisms: Chloroflexus aurantiacus showcases adaptability through its thermophilic and phototrophic growth, whereas members of the Anaerolineae class are known for their role in the degradation of complex organic compounds, contributing significantly to the carbon cycle in anaerobic environments, highlighting the phylum's potential for biotechnological exploitation in varying environmental conditions. In this context, the metabolic diversity of Chloroflexota must be considered a promising asset for a large range of applications. Currently, this bacterial phylum is organized into eight classes possessing different metabolic strategies to survive and thrive in a wide variety of extreme environments. This review correlates the ecological role of Chloroflexota in such environments with the potential application of their metabolisms in biotechnological approaches.

Интеграция мультимедийных образовательных технологий в учреждениях среднего звена: практический опыт

The article presents an analysis of the use of multimedia technologies in the educational environment of secondary vocational education. The use of multimedia technologies is considered as an opportunity to increase the efficiency of the educational process, improve the assimilation of educational material and develop the skills of technical students. They get the opportunity to create interactive lessons tailored to the individual needs and interests of students. The organization of collective work becomes more effective and convenient for all participants in the educational process. Using digital tools, teachers can create a variety of assignments, educational materials, check and evaluate student work online. This allows students to receive feedback on their achievements and progress in real time. The article draws attention to the importance of training in multimedia technologies for future professionals who are ready to use multimedia technologies, which expands the range of professional competencies and be more competitive in the labor market. The author pays special attention to the readiness of the pedagogical cluster of a technological college to use digital platforms and tools that can significantly change the level of teaching. In the digital educational environment, students can interact with each other and with the teacher through various communication channels and educational platforms, discuss modern trends and technologies, share ideas, ask questions and work together on current projects.

SOLAR GRASS CUTTER: HARNESSING RENEWABLE ENERGY FOR SUSTAINABLE LAWN MAINTENANCE

In the realm of sustainable landscape management, the imperative to reduce environmental impact while enhancing efficiency is paramount. This paper presents a pioneering approach to address these challenges through the development of the Solar Grass Cutter. Grounded in the fusion of renewable energy technology and innovative design, our objective is to revolutionize traditional lawn maintenance practices by introducing a comprehensive system that harnesses solar power to trim grass effectively and sustainably. At its core, the Solar Grass Cutter represents the convergence of modern engineering with environmental concern. This device provides a disruptive solution by combining solar panels with precision cutting mechanisms, reducing reliance on fossil fuels and the carbon emissions associated with traditional lawn care equipment. Key features of the Solar Grass Cutter include: 1.Renewable energy utilization: Leveraging solar power, the system operates autonomously, reducing dependence on non-renewable energy sources and mitigating environmental impact. 2.Efficient grass cutting: Through innovative design and engineering, the Solar Grass Cutter ensures precise and efficient grass trimming, optimizing resource utilization and minimizing waste. 3.Environmental stewardship: By adopting sustainable practices, the Solar Grass Cutter promotes environmental stewardship, contributing to the preservation of ecosystems and biodiversity. In essence, the Solar Grass Cutter represents an evolutionary leap in lawn maintenance, bringing technological innovation together with environmental responsibility. It represents a dedication to sustainable behaviours as well as a vision for a greener future in which human inventiveness and environmental consciousness combine to improve our planet’s health. Key Words: Solar Grass Cutter, Renewable Energy, Sustainable Lawn Maintenance, Precision Cutting, Environmental Stewardship, Technological Innovation.

Coin Insertion Based EV Car Charging System Using Raspberry PI PICO

The coin insertion-based Electric Vehicle (EV) charging system represents a novel approach to enhance accessibility and convenience in EV charging infrastructure. This system integrates a coin based payment mechanism with Raspberry Pi technology to provide users with an alternative and straightforward payment option. Utilizing a Raspberry Pi as the central control unit, the system interfaces with EV charging hardware, a coin acceptor, and sensors to facilitate the charging process. Users can effortlessly charge their EVs by inserting coins, addressing the needs of individuals who prefer cash transactions or lack access to digital payment methods. The system ensures safety compliance, calculates charging duration based on coins inserted, and offers a user friendly interface displaying charging status and payment information. This abstract presents an innovative solution to broaden the accessibility of EV charging services by incorporating a familiar and efficient payment method in tandem with modern technology

Advanced Safety Monitoring System for Coal Mines Using IOT

The Coal Mine Safety and Monitoring Project revolutionizes safety practices in coal mining through its innovative approach, leveraging modern technology for real-time monitoring and cloud-based systems. By continuously tracking critical parameters such as temperature, humidity, gas concentration, and miners' heart rates, potential hazards are swiftly identified, allowing for proactive interventions. Utilizing cloud- based platform, data collected from sensors is seamlessly transmitted and analysed in real-time, enabling immediate responses to mitigate risks and ensure miners' safety. This initiative represents a significant advancement in safety protocols, not only minimizing the risk of accidents but also enhancing operational efficiency and productivity within coal mines. By providing a comprehensive framework for safety enhancement, this project sets a new standard for the industry, prioritizing the well-being of miners while contributing to overall sustainability and success in the coal mining sector.

Effectiveness of Agricultural Extension Programs on Crop Productivity in India

Purpose: The aim of the study was to analyze the effectiveness of agricultural extension programs on crop productivity in India. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Agricultural extension programs in India have significantly enhanced crop productivity by providing farmers with access to modern techniques and technologies. Studies indicate that these programs have effectively increased yields by facilitating better pest management, improved seed quality, and efficient water use. However, the effectiveness varies widely depending on the region and the specific crops involved, with some areas showing much greater improvement than others. Unique Contribution to Theory, Practice and Policy: Diffusion of innovations theory, theory of planned behavior (TPB) & human capital theory may be used to anchor future studies on analyze effectiveness of agricultural extension programs on crop productivity in India. Practically, these recommendations aim to transform the implementation of agricultural extension programs by emphasizing the role of extension agents as both educators and facilitators of change, enhancing their training in both agricultural techniques and effective communication skills. Policies promoting the legal and financial backing for farmer cooperatives and requiring the incorporation of robust monitoring and evaluation frameworks in extension programs are crucial.

Wide-incident-angle, polarization-independent broadband-absorption metastructure without external resistive elements by using a trapezoidal structure

The absorption of electromagnetic waves in a broadband frequency range with polarization insensitivity and incidence-angle independence is greatly needed in modern technology applications. Many structures based on metamaterials have been suggested for addressing these requirements; these structures were complex multilayer structures or used special materials or external electric components, such as resistive ones. In this paper, we present a metasurface structure that was fabricated simply by employing the standard printed-circuit-board technique but provides a high absorption above 90% in a broadband frequency range from 12.35 to 14.65 GHz. The metasurface consisted of structural unit cells of 4 symmetric substructures assembled with a metallic bar pattern, which induced broadband absorption by using a planar resistive interaction in the pattern without a real resistive component. The analysis, simulation, and measurement results showed that the metasurface was also polarization insensitive and still maintained an absorption above 90% at incident angles up to 45°. The suggested metasurface plays a role in the fundamental design and can also be used to design absorbers at different frequency ranges. Furthermore, further enhancement of the absorption performance is achieved by improved design and fabrication.

Integrated End-to-End automatic speech recognition for languages for agglutinative languages

The relevance of the problem of automatic speech recognition lies in the lack of research for low-resource languages, stemming from limited training data and the necessity for new technologies to enhance efficiency and performance. The purpose of this work was to study the main aspects of integrated end-to-end speech recognition and the use of modern technologies in the natural processing of agglutinative languages, including Kazakh. In this article, the study of language models was carried out using comparative, graphic, statistical and analytical-synthetic methods, which were used in combination. This paper addresses automatic speech recognition (ASR) in agglutinative languages, particularly Kazakh, through a unified neural network model that integrates both acoustic and language modeling. Employing advanced techniques like connectionist temporal classification and attention mechanisms, the study focuses on effective speech-to-text transcription for languages with complex morphologies. Transfer learning from high-resource languages helps mitigate data scarcity in languages such as Kazakh, Kyrgyz, Uzbek, Turkish, and Azerbaijani. The research assesses model performance, underscores ASR challenges, and proposes advancements for these languages. It includes a comparative analysis of phonetic and word-formation features in agglutinative Turkic languages, using statistical data. The findings aid further research in linguistics and technology for enhancing speech recognition and synthesis, contributing to voice identification and automation processes.

Designing and Analysing an APP based on "Internet+" for Integrating Health Data of University Physical Classes

INTRODUCTION: University physical education programs still largely use traditional methods without significant innovation in teaching or health evaluation. With the growing capabilities of Internet technology and artificial intelligence, there's a critical need to leverage these advancements to enhance the physical health assessments of college students.OBJECTIVES: The study proposes an integrated APP design for health data collection and analysis both inside and outside physical education classes, utilizing Internet technologies and intelligent learning algorithms. This is aimed at precisely analyzing and improving the health outcomes of university students by fostering more tailored and responsive physical education experiences..METHODS: The method involves constructing an app design analysis index system, integrating a vulture search heuristic optimization algorithm with a convolutional neural network (CNN). This setup uses smart sports APP behavioral data as input to refine and optimize health data integration, aiming to enhance the analysis and feedback mechanisms within university sports programs.RESULTS: The implementation of this method showed that it meets real-time requirements while significantly improving the accuracy and efficiency of integrated APP design analyses for health data. The use of smart algorithms allows for more precise adjustments and feedback in physical education programs, suggesting a substantial improvement over traditional physical health monitoring and evaluation methods.CONCLUSION: The proposed APP design successfully integrates and analyzes health data, enhancing the management and evaluation of physical education programs. It represents a significant step forward in utilizing modern technology to address the stagnation in physical education health monitoring, with potential implications for broader educational and health management practices in universities. Future iterations of the APP could incorporate more diverse data inputs and advanced analytical features to further refine its effectiveness and usability.

2D materials-based photodetectors combined with ferroelectrics.

Photodetectors are essential optoelectronic devices that play a critical role in modern technology by converting optical signals into electrical signals, which are one of the most important sensors of the informational devices in current "Internet of Things" era. Two-dimensional (2D) material-based photodetectors have excellent performance, simple design and effortless fabrication processes, as well as enormous potential for fabricating highly integrated and efficient optoelectronic devices, which has attracted extensive research attention in recent years. The introduction of spontaneous polarization ferroelectric materials further enhances the performance of 2D photodetectors, moreover, companying with the reduction of power consumption. This article reviews the recent advances of materials, devices in ferroelectric-modulated photodetectors. This review starts with the introduce of the basic terms and concepts of the photodetector and various ferroelectric materials applied in 2D photodetectors, then presents a variety of typical device structures, fundamental mechanisms and potential applications under ferroelectric polarization modulation. Finally, we summarize the leading challenges currently confronting ferroelectric-modulated photodetectors and outline their future perspectives.

РАЗРАБОТКА НОВОЙ КОНСТРУКЦИИ АРМИРОВАННОЙ ОККЛЮЗИОННОЙ ШИНЫ С ПАРАМЕТРИЗОВАННЫМ КАРКАСОМ НА ОСНОВЕ МЕДИЦИНСКИХ И ИНЖЕНЕРНЫХ ЦИФРОВЫХ ТЕХНОЛОГИЙ

Subject. Today, the use of splint therapy is an essential part of specialized dental treatment, since in recent years the number of patients with dysfunctional conditions of the dentofacial apparatus, has increased significantly. In addition, according to recent research, the use of occlusal splints as part of complex therapy is effective in the treatment of neurological diseases, such as bruxism, chronic tension-type headache, and neuromuscular syndrome. Traditionally used designs of occlusal splints have some disadvantages, such as fragility of use, insufficient rigidity, and the impossibility of relining if the patient's dental status changes. The article provides a description and clinical and laboratory stages of manufacturing the developed new design of an occlusal splint reinforced with a titanium frame. Objectives. Increasing the effectiveness of treatment of patients with functional disorders of the dentofacial system through the development and implementation of a new prosthetic construction – a combined occlusal splint with a titanium frame, using modern intellectual and medical 3D technologies. Materials and methods. Titanium alloy (Rematitan®) was chosen as the material for the frame of the occlusal splint. Manufacturing method implies the use of additive technologies, in particular, 3D-printing for obtaining a high-precision structure with a minimum cross-sectional thickness. Hot-curing acrylic plastic was used to cover the parameterized frame; it is also possible to use a light-curing composite. Results. During the study, the expediency of introducing a reinforcing component in the form of a metal frame into the construction of the occlusal splint was determined. A new design of a combined occlusal splint and a method for its manufacture were developed. Conclusion. By reinforcing the occlusal splint with a titanium frame, high structural strength, durability of use, maintainability or relocation if necessary are ensured; at the same time, due to 3D-printing, the frame has a minimal cross-sectional thickness, which practically does not affect the thickness of the structure as a whole.

Realization of Urban Perception Art: Painting Expressions of Internet of Things Technologies in Urban Environments

INTRODUCTION: With the continuous progress of urbanization, people's perceptions and experiences of the urban environment are increasingly concerned. Traditional forms of artistic expression can no longer fully meet people's needs for urban perception. Therefore, it is especially important to explore new possibilities of urban perception art with the help of modern technology, especially intelligent technology.OBJECTIVES: The main purpose of this study is to explore the feasibility and effectiveness of utilizing advanced technology for urban perception art expression. Through an in-depth understanding of the urban environment and the perceptual needs of urban residents, as well as existing technological means, artistic expressions that can present urban perceptions more intuitively and vividly are developed.METHODS: This study adopts a combination of field research and art practice. Through urban observation and questionnaire surveys, the subjective experience and needs of urban residents for urban perception were collected. Then, using digital painting and video technology, combined with the principles of perception psychology, urban perception works with artistic and technological senses were designed.RESULTS: A series of urban perception artworks were designed in this study, covering all aspects of urban life, including architectural landscapes, transportation scenes, and humanistic customs. These works enable viewers to perceive the urban environment in a more intuitive and immersive way through digital painting and video technology, as well as real-time data and perceptual feedback.CONCLUSION: By exploring new ways of artistic expression of urban perception, this study provides urban residents with a richer and deeper experience of urban perception. The application of digital painting and video technology, as well as the interaction and feedback with urban residents, opens up new possibilities for the development of urban perceptual art. 

Evolutionary trends and innovations in cardiovascular intervention

Cardiovascular diseases remain a global health challenge, prompting continuous innovation in medical technology, particularly in Cardiovascular MedTech. This article provides a comprehensive exploration of the transformative landscape of Cardiovascular MedTech in the 21st century, focusing on interventions. The escalating prevalence of cardiovascular diseases and the demand for personalized care drive the evolving landscape, with technologies like wearables and AI reshaping patient-centric healthcare. Wearable devices offer real-time monitoring, enhancing procedural precision and patient outcomes. AI facilitates risk assessment and personalized treatment strategies, revolutionizing intervention precision. Minimally invasive procedures, aided by robotics and novel materials, minimize patient impact and improve outcomes. 3D printing enables patient-specific implants, while regenerative medicine promises cardiac regeneration. Augmented reality headsets empower surgeons during procedures, enhancing precision and awareness. Novel materials and radiation reduction techniques further optimize interventions, prioritizing patient safety. Data security measures ensure patient privacy in the era of connected healthcare. Modern technologies enhance traditional surgeries, refining outcomes. The integration of these innovations promises to shape a healthier future for cardiovascular procedures, emphasizing collaboration and research to maximize their transformative potential.

Developing Small-Cargo Flows in Cities Using Unmanned Aerial Vehicles

Modern technology allows for the simplification of a number of functions in industry and business. Many companies have achieved a high level of robotisation and automation in the use of services, including companies operating in the transport sector, where smart systems help to control load planning, the issuing of documents, the tracking and transportation of shipments, etc. Drones can be exploited as smart assistants in delivering cargo in cities. Since it is a new technology capable of working autonomously, it presents various legal, psychological, and physical challenges. This article presents an analysis of the scientific literature on the development of small-cargo flows using drones and a research methodology on the development of the use of drones, presenting a model which helps to address the issue of cargo delivery in cities.

Research on the Development of Methods for Detection of Substandard and Falsified Medicines by Clarifying Their Pharmaceutical Characteristics Using Modern Technology.

The existence of substandard and falsified medicines threatens people's health and causes economic losses as well as a loss of trust in medicines. As the distribution of pharmaceuticals becomes more globalized and the spread of substandard and falsified medicines continues worldwide, pharmaceutical security measures must be strengthened. To eradicate substandard and falsified medicines, our group is conducting fact-finding investigations of medicines distributed in lower middle-income countries (LMICs) and on the Internet. From the perspective of pharmaceutics, such as physical assessment of medicines, we are working to clarify the actual situation and develop methods to detect substandard and falsified medicines. We have collected substandard and falsified medicines distributed in LMICs and on the Internet and performed pharmacopoeial tests, mainly using HPLC, which is a basic analytic method. In addition to quality evaluation, we have evaluated the applicability of various analytic methods, including observation of pharmaceuticals using an electron microscope, Raman scattering analysis, near-IR spectroscopic analysis, chemical imaging, and X-ray computed tomography (CT) to detect substandard and falsified medicines, and we have clarified their limitations. We also developed a small-scale quality screening method using statistical techniques. We are engaged in the development of methods to monitor the distribution of illegal medicines and evolve research in forensic and policy science. These efforts will contribute to the eradication of substandard and falsified medicines. Herein, I describe our experience in the development of detection methods and elucidation of the pharmaceutical status of substandard and falsified medicines using novel technologies.

Transparent ionic liquid antenna based on multi-modes using multiple feeding structures

With the rapid development of modern wireless communication technology, there is an increasing demand for the functionality of the communication system carried by a single platform. To improve the utilization of the antenna, a multimode liquid antenna is proposed in this paper. The antenna is fabricated using 3D printing technology and mainly consists of a cylindrical dielectric resonator, a coaxial feeding structure, and a slot-coupling feeding structure. By hollowing out the middle of a resin container and filling it with low-loss ionic liquid with stable dielectric properties, a liquid dielectric resonator antenna (DRA) is formed. The various resonant modes (slot mode, HEM11δ, TM11δ, TM21δ, and TM31δ modes) can be excited by introducing different feeding structures. The operating frequencies and radiation patterns can be modulated by mode switching. Simulated and measured results show that the antenna operates in the frequency bands of 2.25–2.76 GHz (20.4 %) and 4.82–5.73 GHz (17.3 %), and the maximum gain can be up to 10.3 dBi. The proposed antenna structure avoids the complex RF control circuit design, which has various applications including 5G/6G communications, transparent electronic devices, and Internet of Things.

ЧИСЕЛЬНЕ МОДЕЛЮВАННЯ ПРОЦЕСУ ВПЛИВУ ПРОДУКТІВ ДЕТОНАЦІЇ НА НАДЗВУКОВИЙ ПОТІК ПОВІТРЯ

Currently, there is a large number of control bodies used in modern rocket technol-ogy. Gasdynamic systems are usually used in rocket engines to change the thrust vector, less often - to create asymmetric air flow around the case. But the application of the det-onation process for such scheme can have better energy and dynamic characteristics compared to existing systems. The driving force in such scheme is created not only by the reactive mass force of detonation products ejected from the gas generator, but also by the effect of an intense shock wave on the pattern of supersonic flow around the rocket. Therefore, it is necessary to evaluate the performance and efficiency of the experiment. The purpose of the study is a priori numerical study of the detonation wave effect on the supersonic flow in the nozzle. Modeling was carried out in the Solid Works application software package. The geometric parameters of the model coincide with the experimental model. It is a flat nozzle, one of the walls is longer than the other and imitates the surface of the rocket. Air, accelerating in the nozzle to supersonic speeds with Mach number M=1.3...2, flows around this wall. Setting devices affecting the flow in it, it is possible to investigate their influence and the possibility of creating a lateral (controlling) force. When detonation is used to disturb the flow, an intense shock wave is generated in it, which changes the pres-sure distribution on the wall surface. Some holes for pressure sensors are made in the wall to fix this disturbance over time. A priori numerical modeling was carried out in order to estimate the parameters of the interaction of detonation products with the supersonic air flow. The pressure range and duration of the process have been determined, which allows selection of equipment and planning of the experiment. Patterns of velocity and pressure distribution in the model over time were obtained.

PRONUNCIATION LEARNING USING AUTOMATIC SPEECH RECOGNITION

Due to limited interaction between the teacher and the student, learning a foreign language can be difficult. Language learning, in contrast to most other courses, necessitates oral practice and interactive corrective feedback, which may be unavailable with little study material and time for interactions. It might not be possible for the teacher to give each student their whole attention in a classroom setting. By enabling better and more flexible work and digitizing study materials utilizing cutting- edge signal processing techniques, modern computer technology can enhance language acquisition. The project offers an online pronunciation learning tool that follows the listen and repeat method. In order to enable foreign language learners to practice their abilities remotely and even without the teachers presence, it offers an interactive interface. The underlined text will be phonetically transcriptioned by the use of automatic speech recognition software to record and process human speech. The teacher will compare it to the prompt text. Students can hear teacher-generated speech as feedback and adjust their pronunciation until it is recognized correctly. KEYWORDS: E-Learning, Pronunciation learning, Automatic Speech Recognition