Actual Application Effect Research Articles

A Practical Study on Artificial Intelligence (AI)-Assisted College English Translation Teaching

With the advent of the digital age, it has become an inevitable trend to integrate advanced artificial intelligence technology with English translation teaching in colleges and universities. This paper aims to explore the practical application of artificial intelligence (AI)-assisted English translation teaching in colleges and universities, analyze its advantages in improving teaching efficiency, promoting personalized learning, and providing intelligent tutoring, and put forward corresponding strategies and suggestions. Through specific cases, this paper demonstrates the actual application effect of AI in translation teaching and looks forward to the future development direction.

Effectiveness of Forehand Near Net Short Ball Tactics in Table Tennis and The Performance of College Level Athletes in Hunan, China

This research the effectiveness of forehand short ball tactics near the net on the performance of Hunan college table tennis players and its relationship with coach evaluation. By analyzing background factors such as age, gender, and coaching years of coaches, their evaluation of athletes' frequency of tactical use, anticipatory reactions, ball control, and decision-making adaptations was explored. The study found that coaches generally believed that the tactic had a limited effect on improving core skills, and that gender had a significant impact in evaluating the effectiveness of tactics and athlete performance. Based on the research results, suggestions for improving tactical training for table tennis players are put forward in order to improve the actual application effect of tactics.

Advances in Family Dignity Interventions in Hospice Care

The current concept, background, basic theory, method, and actual application effect of the family dignity intervention proposed are analyzed. The application of family dignity intervention in hospice care in China is studied in the hope that it can effectively promote effective application in the clinic and provide a reference for the clinic.

Research and Implementation of Container Based Application Orchestration Service Technology

With the rapid development of cloud computing technology, Kubernetes(K8S), as the main orchestration tool for cloud native applications, has become the preferred choice for enterprises and developers. This article is based on container based application orchestration service technology. Through a set of templates containing cloud resource descriptions, it quickly completes functions such as application creation and configuration, application batch cloning, and application multi environment deployment. It simplifies and automates the lifecycle management capabilities required for cloud applications, such as resource planning, application design, deployment, status monitoring, and scaling. Users can more conveniently complete infrastructure management and operation and maintenance work, In order to focus more on innovation and research and development, and improve work efficiency. The actual application effect of the technology used in this article depends to a certain extent on the ability level of basic service resources, and manual template creation is required for the first use. In production use, a certain professional ability is required to create a good application layout template, adjust and optimize resources according to the production environment, in order to significantly improve the effectiveness and efficiency of practical applications.

Research on Risk Assessment and Prevention of Dewing on the Surface of the Thousand-handed Avalokitesvara Statue Based on COMSOL and CFD

The Thousand-handed Avalokitesvara statue in Dazu Stone Carving has been in a high temperature and humidity environment with serious air pollution for a long time. Under the combined effect of various environmental factors, its surface disease is extremely serious. Among them, condensation disease is one of the main diseases of the Thousand-handed Avalokitesvara statue, and also the root cause of other diseases. The surface temperature of the Thousand-handed Avalokitesvara statue was simulated by COMSOL simulation technology, and compared with the dew point temperature of the air near the wall at the same time, the seasonal and daily variation laws of the condensation risk on the image surface were analysed. To effectively prevent surface condensation, a three-level condensation risk assessment level was established based on the difference between the surface temperature and the dew point temperature near the wall. Summer is a period of high risk of condensation, during field investigation, it was found that under the condition that dehumidification measures have been added, a large area of condensation still occurs on the statue surface in summer. According to the actual measurement of the core area where the Thousand-handed Avalokitesvara statue is located, it was found that there were obvious differences between the near wall measuring points and those far away, the near wall air fluidity was poor, and the actual application effect of dehumidification equipment was poor. In order to better create a suitable storage environment and avoid condensation, based on CFD simulation technology, the distribution law of the internal environmental parameters of the Dabei Pavilion under different optimization prevention and control schemes was studied, and the optimal optimization scheme of closing the steam inlet and adding dehumidifiers was proposed, which could reduce the relative humidity and dew point temperature of the air near the wall of the Thousand-handed Avalokitesvara statue by 12.6% and 3ºC respectively, effectively reducing the risk of condensation.

Construction and Effectiveness Evaluation of Smart Classroom for Civic and Political Education

Abstract A smart classroom is a new type of teaching mode based on dynamic data analysis, which is a major change in the teaching mode, and the application of smart classrooms in ideological education can significantly enhance the relevance and effectiveness of ideological and political education in colleges and universities. This paper constructs a smart classroom teaching model for college ideology and politics based on the theory and technology of smart classrooms and designs a smart classroom teaching evaluation model to assess its practical application effect. The model design is combined with the expert consultation method to establish a comprehensive evaluation index system and calculate the weights of each index. Finally, the evaluation of the actual application effect of smart classroom teaching is carried out. The results show that the weights of the two first-level indexes, namely, “scientific method” and “patriotism”, are the highest, respectively 0.5 and 0.5, and the weights of the two first-level indexes are the highest. The results show that among the first-level indicators, the two first-level indicators of “scientific method” and “patriotism” have the highest weights, respectively 0.214 and 0.186. The weights of “classroom performance”, “homework,” and “practical activities” are lower, respectively 0.077, 0.073, and 0.073. Applying this paper's Civics Smart Classroom Teaching Model to actual Civics teaching, the model evaluation results show that the scores of the secondary indicators have increased, of which “asking questions” has increased from 3.54 to 3.98, an increase of 12.43%. In contrast, the indicator of “ extracurricular activities” has risen from 3.54 to 3.98, an increase of 12.43%, and the indicator of “extracurricular activities” has increased from 0.077 to 3.98. Extracurricular activities” indicator rose from 4.36 to 4.47, an increase of 2.52%. This paper designs an intelligent classroom teaching model for college civic education with good practical application effects.

Analysis of the application of path finding system based on efficiency improvement in smart tourism

With the proposal and development of intelligent tourism destination, the problem of tourism route planning has become a hot topic in tourism research. This study proposes an intelligent tourism route planning model based on efficiency improvement for Guangxi tourism route planning. In order to improve the efficiency of the model, this paper combines ant colony algorithm with genetic algorithm and introduces smoothing factor and guiding factor, and obtains genetic algorithm (genetic algorithm-path smoothing ant colony optimization) with changing probability. Experimental results show that the convergence speed of the algorithm is fast, and it can converge in 78 iterations, and the operation efficiency is higher. The result error of the proposed algorithm is 1.39, which is smaller than that of other comparative algorithms. In the actual application effect evaluation, the average satisfaction of the planned route of the intelligent tourism route planning model based on efficiency improvement is 15.38, which is higher than that of the traditional genetic algorithm and simulated annealing algorithm. It shows that the model can not only efficiently plan the best travel route, but also comprehensively consider the whole trip of tourists, so that tourists can have a better travel experience. The research provides an intelligent route planning method that is more efficient and more in line with tourists' needs for tourism development.

A versatile dynamic noise control framework based on computer simulation and modeling

Abstract This article attempts to effectively reduce the impact of active noise pollution on human life, and to make up for the traditional passive noise control technique. In low-frequency noise control, there are some shortcomings. The making of active noise control (ANC) technique, in low-frequency noise reduction, can achieve very good results. This article proposes a versatile dynamic noise control framework based on computer simulation and modeling. The research is mainly focused on the principle and application of versatile dynamic noise control framework. To accomplish this, a research method combining theoretical analysis, software simulation, and hardware realization is adopted. The derivation process of the adaptive algorithm (LMS algorithm, filter-XLMS algorithm, etc.) is introduced in detail, and the influencing factors of algorithm performance, a variable step size normalization algorithm based on relative error is proposed. Perform simulation calculations on various algorithms in MATLAB, analyze parameters such as step factor, filter order, etc., and the degree of influence on the algorithm’s convergence speed and steady-state performance. Common command set software is used, the path adaptive identification is realized, and the program design of the versatile dynamic noise control framework is used. After completion of software and hardware debugging on the experimental platform of generalized comfort, the experimental equipment layout is completed. Using the additive random noise method, the adaptive offline modeling of the first path of the versatile dynamic noise control framework is realized. Finally, utilizing the experimental platform of generalized comfort, the adaptive ANC experiment of the single-channel filtered least mean square algorithm is conducted, then the experimental data are analyzed, and at last, the actual application effect of the versatile dynamic noise control framework is verified.

Antibacterial and antibiofilm performance of low-frequency ultrasound against Escherichia coli O157:H7 and its application in fresh produce

Ultrasound technology has been focused on due to its unique advantages in biofilm removal compared with traditional antibacterial methods. Herein, the anti-biofilm properties of low-frequency ultrasound (LFUS) were studied against Enterohemorrhagic Escherichia coli O157: H7 (E. coli O157:H7). After ultrasonication (20 kHz, 300 W) for 5 min, the removal rate of biofilm from polystyrene sheets reached up to 99.999 %. However, the bacterial cells could not be inactivated completely even extending the duration of ultrasonic irradiation to 30 min. Fortunately, this study indicated that LFUS could efficiently weaken the metabolic capacity and biofilm-forming ability of bacterial cells separated from biofilm. It could be associated with the removal of cell surface appendages and damage to cell membrane induced by mechanical vibration and acoustic cavitation. Besides, the genetic analysis proved that the transcription level of genes involved in curli formation was significantly down-regulated during ultrasonic irradiation, thus impeding the process of irreversible adhesion and cells aggregation. Finally, the actual application effect of LFUS was also evaluated in different fresh produces model. The results of this study would provide a theoretical basis for the further application of ultrasound in the food preservation.

A BRIEF DISCUSSION ON MOTIVATION OF CHINESE LANGUAGE LEARNING FOR STUDENTS MAJORING IN TRANSLATION STUDIES AT CONFUCIUS INSTITUTE OF SOUTH UKRAINIAN NATIONAL PEDAGOGICAL UNIVERSITY NAMED AFTER K. D. USHYNSKY

As the object and subject of teaching activities, the learners’ subjective motivation in learning has a crucial influence on the final learning effect. Therefore, the exploration of learners’ motivation and its influencing factors is of great practical significance to the development of teaching activities and the final achievement of teaching results. In this paper, we take the second-year translation class 2 of Confucius Institute as the object of teaching observation and motivation of Chinese language learning. By finding and analysing the relationship between students’ problems in Chinese learning and their motivation in the new Chinese learning cycle, we try to select a targeted method from the perspective of maintaining and further stimulating students’ Chinese learning motivation and make adjustments according to the actual application effect of the method. The aim is to find out a set of strategies for motivating students’ Chinese language learning in three different stages: before, during and after classes, so that students can gradually move from being able to learn to learning well and enjoying learning.

Using Semantic Text Similarity calculation for question matching in a rheumatoid arthritis question-answering system.

When users inquire about knowledge in a certain field using the internet, the intelligent question-answering system based on frequently asked questions (FAQs) provides numerous concise and accurate answers that have been manually verified. However, there are few specific question-answering systems for chronic diseases, such as rheumatoid arthritis, and the related technology to construct a question-answering system about chronic diseases is not sufficiently mature. Our research embedded the classification information of the question into the sentence vector based on the bidirectional encoder representations from transformers (BERT) language model. First of all, we calculated the similarity using edit distance to recall the candidate set of similar questions. Then, we took advantage of the BERT pretraining model to map the sentence information to the corresponding embedding representation. Finally, each dimensional feature of the sentence was obtained by passing a sentence vector through the multihead attention layer and the fully connected feedforward layer. The features that were stitched and fused were used for the semantic similarity calculation. Our improved model achieved a Top-1 precision of 0.551, Top-3 precision of 0.767, and Top-5 precision of 0.813 on 176 testing question sentences. In the analysis of the actual application effect of the model, we found that our model performed well in understanding the actual intention of users. Our deep learning model takes into account the background and classifications of questions and combines the efficiency of deep learning technology and the comprehensibility of semantics. The model enables the deep meaning of the user's question to be better understood by the intelligent question answering system, and answers that are more relevant to the original query are provided.

How to Regulate the Migration Ability of Emulsions in Micro-Scale Pores: Droplet Size or Membrane Strength?

Micro visualization has become an important means of solving colloid and interface scientific problems in enhanced oil recovery. It can establish a relationship between a series of performance evaluations of an oil-water interface under macroscopic dimensions and the actual application effect in confined space, and more truly and reliably reflect the starting and migration behavior of crude oil or emulsion in rock pores. In this article, zwitterionic surfactant alkyl sulfobetaine (ASB) and anionic extended surfactant alkyl polyoxypropylene sulfate (A145) were employed as flooding surfactants. The macroscopic properties of the surfactant solutions, such as the oil-water interfacial tension (IFT), the interfacial dilational rheology and the viscosity of crude oil emulsions, have been measured. At the same time, we link these parameters with the oil displacement effect in several visual glass models and confirm the main factors affecting the migration ability of emulsions in micro-scale pores. The experimental results show that ASB reduces the IFT through mixed adsorption with crude oil fractions. The flat arrangement of the large hydrophilic group of ASB molecules enhances the interactions between the surfactant molecules on the oil-water interface. Compared with sulfate, betaine has higher interfacial membrane strength and emulsion viscosity. A145 has a strong ability to reduce the IFT against crude oil because of the larger size effect of the PO chains at the oil side of the interface. However, the membrane strength of A145 is moderate and the emulsion does not show a viscosity-increasing effect. During the displacement process, the deformation ability of the front emulsions or oil banks is the main controlling factor of the displacement efficiency, which is determined by the membrane strength and emulsion viscosity. The strong interfacial membrane strength and the high emulsion viscosity are not conducive to the migration of droplets in pore throats and may result in low displacement efficiency.

Research on deep mining of MOOC multimodal resources based on improved Eclat algorithm

In order to overcome the problems of low recall and precision in traditional MOOC multimodal resource mining methods, this paper proposes a new MOOC multimodal resource deep mining method based on improved Eclat algorithm. Based on cloud computing technology, according to MOOC resource pool structure, MOOC multi-modal knowledge map is constructed, and hash chain is used to analyse the attribute connection rules between knowledge maps. Based on the attribute connection rules, the improved Eclat algorithm is used to transform the captured modal information of resources, so as to design the MOOC multi-modal resource deep mining process and get the results of resource deep mining. The experimental results show that the recall and precision of this method are above 97%, the mining effect is better, and the mining time is always less than 0.7 s, the mining efficiency is higher, and the actual application effect is better.

Reinforcement of reclaimed sand by stimulating native microorganisms for biomineralization.

The method of biological stimulation to reinforce soil has good environmental benefits. The optimization of stimulation solutions can not only improve soil reinforcement but also effectively reduce treatment costs. Response surface methodology was used to optimize a biostimulation solution to reinforce reclaimed sand by native microorganism-induced mineralization. First, response surface methodology was used to obtain the optimal stimulation solution. Then, the effect of the optimal stimulation solution in inducing mineralization to reinforce reclaimed sand was evaluated. Finally, the reinforcement mechanism was revealed by SEM, XRD, and microbial diversity analysis. The results showed that the urease activity of the sample optimized by response surface methodology was 1.17 times higher than that of the sample treated with the initial stimulation solution. The uniaxial compressive strength of samples treated with the optimal biostimulation solution and 1.0 M cementation solution over 15 cycles reached 3.94 MPa. The product of microbial mineralization was calcite, which was the main substance responsible for the improvement in the mechanical properties of the reclaimed sand. The concentration of the cementation solution not only affected the production of calcium carbonate but also affected the morphology of calcium carbonate crystals. After sample treatment with the stimulation solution, ureolytic microorganisms became the dominant bacteria in the sample. A comprehensive assessment of the reinforcement effect and cost revealed that using the optimal stimulation solution and 1.0 M cementation solution over 10 cycles was ideal for reinforcing reclaimed sand. Biostimulation is an effective method to reinforce reclaimed sand; however, the actual application effect requires further examination.

Research on Power supply office management based on RPA intelligent video technology

With the acceleration of digital construction process, robotic process automation technology is more and more applied in the company's digital business, in order to achieve the goal of reducing cost, improving quality and increasing efficiency. By analyzing the scenarios where robotic process automation is required in the daily work of regional power supply services and command centers, this paper provides solution ideas and designs for key software functions of robotic process automation to assist the labor force. Combined with the actual application effect analysis. Put forward relevant conclusions and suggestions. Against the "three a" national power grid operating space after transforming the defect of operations management, through the intelligent video monitoring equipment installed in open space, intelligent video analysis technology is used to collect subregional traffic statistics, studies the VIP customers recognition and customer behavior analysis, and other functions, under the condition of without changing the original structure, further enhance the level of intelligent management of power supply business hall, Standardize the service quality of the staff of the power supply business hall, conduct the operation efficiency analysis of the power supply business hall, save management and reduce costs, improve the on-site control function, and improve the company image.

Active solar collector located on roof ridge assisted Chinese solar greenhouse for thermal environment enhancement

ABSTRACT Maximizing the use of solar energy to increase the indoor temperature of greenhouse is of great significance to the green and energy-saving intensive greenhouse production in China. In this study, an active solar heating system (ASHS) was developed and analyzed, consisting of five solar water heaters equipped with vacuum tube solar collectors, one heat storage tank and heating system including booster pump and heating pipes. During the day, the water was heated in the solar collectors and stored in tanks before being placed into circulation in the heating pipes to distribute the heat to the aerial and root zones of plants. To evaluate the performance of ASHS and the feasibility of practical application, climate and plant growth parameters were monitored in two Chinese Solar Greenhouses (CSGs) located in Yangling, China. Results revealed that under the operating condition with the flow rate of 5.4 L/min, the effective heat collection, average heat collection efficiency and energy-saving efficiency of ASHS were 1.9 MJ/(m2•h), 64% and 84%, respectively. The coefficient of performance (COP) was between 4.5 and 6.2, and the payback period was 12.0 years. Furthermore, the results revealed that the ASHS successfully provided 76% of its annual heating needs, heated the CSG for 4 months and maintained the nocturnal temperature above 8 ℃. The actual application effect proved that it increased average indoor air temperature by 2.2 ℃ and substrate temperature by 3.3 ℃ in heated greenhouse. The growth rate of tomato plant height in the heated greenhouse was 0.7427 cm/d, greater than that in the unheated greenhouse (0.6 cm/d). The novel system proposed in this study adopting particular location enables the rise of the ambient and the substrate temperatures with lower energy consumption, improvement of the environmental conditions in CSG, and a more suitable growing environment for plants in the cold season.

A New GNSS Spoofing Signal Power Control Algorithm for Receiver Sensors in Acquisition Phase and Subsequent Control.

Satellite navigation spoofing technology has become a hotspot of interference technology research because of its significant threat and high concealment. In a spoofing scenario, suppressive interference is typically used to ensure that the target receiver sensor is in the unlocked and reacquisition state, and then spoofing is implemented. This method has a high feasibility, and the power of the spoofing signal affects the concealment and efficiency of spoofing. Currently, there is limited research involving the GNSS spoofing signal power control. Moreover, there is no systematic complete power control scheme, most of which is limited to qualitative or simulation, and the actual application effect is still unclear. Therefore, a new GNSS spoofing signal power control algorithm under the power constraints of the receiver sensor in the acquisition phase and the subsequent control is proposed. The experimental platform is designed to prove that compared with the conventional spoofing signal high power control algorithm, the new GNSS spoofing signal power control algorithm shortens Doppler frequency fluctuation time by 72.2% and reduces the range by 75.9%. The carrier-to-noise ratio of the received signal is less than the threshold of the receiver sensor, and the range of three-dimensional coordinates of Earth-Centered, Earth-Fixed (ECEF) is significantly reduced during the spoofing signal taking over receiver sensor, this shows that the new design of the GNSS spoofing signal power control algorithm can make spoofing behavior more hidden, and it will make it more difficult for the target receiver sensor to detect spoofing behavior. The designed algorithm can take over the receiver sensor stealthily with the help of suppressing interference and then pull the bias positioning results, which has good feasibility and effectiveness.

Research and Development of a Real-time UAV Flight Visualization Simulation System

On the premise of practical application, this paper describes the principle, technology and implementation methods of a real-time UAV flight visualization simulation system. The overall framework, hardware system composition, UAV flight model establishment, determination of flight control mode and control rate, design of 3D visual simulation system, management and processing of UAV flight state data are discussed, and finally, the actual application effect of the system is evaluated.

Optimal design and analysis of refractive index and thickness gradient optical films

Gradient optical films have potential applications in instrumentation, display technology, avionics and other fields, it is usually plated on the instrument lens to transmit or reflect the corresponding waveband. In order to improve the transmittance and avoid the disadvantages of uniform films, in order to change the traditional film layer arrangement, this paper proposes a graded refractive index film and a graded thickness film. Through Matlab and TFCalc software simulation, the results show that the final reflectivity curves not only have good rectangularity, but also are closer to the ideal reflectivity of 100% at the central wavelength. Among them, the reflectivity of the high-reflective film in a specific range can reach 99.4%, the reflectivity of the minus filter at 532 nm is 99.6%, in the ranges of 385 nm–490 nm and 570 nm–780 nm on both sides, the reflectivity is greater than 91,5%. This result shows that the actual application effect of the thin film designed with a gradual structure is better.

SINS/Odometer/Doppler Radar High-Precision Integrated Navigation Method for Land Vehicle

A high-precision integrated navigation method for a land vehicle using a strapdown inertial navigation system (SINS), an odometer, and Doppler radar is studied. Attitude outputs of the SINS, distance increment outputs of the odometer, and velocity outputs of Doppler radar are taken to accomplish position and velocity calculation. The error models of the odometer and Doppler radar are studied, and error models of position and velocity calculation are established. Errors including that of the SINS, odometer, and Doppler radar are taken as the system state of integrated navigation. The difference between the SINS position output and the previous position calculation output, as well as between the SINS velocity output and the previous velocity calculation output, is taken as the measurement information. On this basis, the Kalman filter algorithm is used in the design of a high-precision integrated navigation filter. The vehicle trajectory is designed and generated, and the researched navigation method is simulated and verified by MATLAB. Simulation results show that in the navigation time of 10800 s, the horizontal position accuracy is ±27.8 m, the altitude accuracy is ±11.2 m, and the error of position does not exceed 0.03% of the vehicle’s total driving distance. The horizontal attitude accuracy and heading accuracy are <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\pm 0.3^\prime $ </tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\pm 2.4^\prime $ </tex-math></inline-formula> , respectively. The horizontal and upward velocity have accuracy of ±0.05 m/s and ±0.01 m/s, respectively. When the odometer and Doppler radar fail to output for a long time, this integrated navigation method still maintains high navigation accuracy and shows superior reliability. Finally, the vehicular experiment is carried out, and the experimental results show that the actual application effect of the SINS/odometer/Doppler radar integrated navigation is as satisfactory as in the simulation experiment. During the navigation time of 3600 s, the heading error of the navigation system is less than <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\pm 2.6^\prime $ </tex-math></inline-formula> , the horizontal attitude errors are less than <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\pm 0.7^\prime $ </tex-math></inline-formula> , the horizontal position errors are ±14.9 m, the altitude error is ±13.0 m.