Focusing on regional financial services, this paper analyzes the variables affecting non-financial businesses getting loans through the region economic services function, and then proposes countermeasures to improve it. The DPC algorithm is applied to the financial analysis in this paper because of its fast speed and high accuracy. The AD-DPC approach is suggested in this study as a solution to the issue that the computation of local density relies on the choice of the truncation length parameter dc and the clustering sites must be manually chosen. This strategy lessens the subjectivity and volatility that the fictitious label dc brings. For the DPC algorithm by using a one-step assignment strategy, i.e., assigning the labels of clustering centers to all non-clustering centroids at one time, such a strategy is poorly fault-tolerant, this paper proposes the DAS-DPC algorithm on the basis of AD-DPC. Through experiments, ADAS-DPC is optimal for ARI metrics in the dataset. Among them, the ARI indexes of ADAS-DPC algorithm are 0.832, 0.895, 0.768 and 0.757 in the datasets Iris, Wine, Seed and Sonar. It shows that the ADAS-DPC algorithm can not only handle the datasets with complex shapes, large density differences between clusters and tightly connected clusters, but also improve the clustering performance of the algorithm for high-dimensional data.
This paper first describes the applications of digital signal processors in software radio, speech compression coding, modems and GPS systems, demonstrating the versatility of digital signal processors in practical communication systems. Next, digital signal processing oriented electronic communication practices are presented in the system design section to design high performance communication systems for specific communication needs and environmental conditions. The digital signal processing platform used in the platform architecture is optimized for signal processing and data transmission. The BER is 0.008% when the signal-to-noise ratio is -10 dB. The time complexity of digital signal processing is 7.2 ms when the number of communication nodes is 1000. It shows that digital signal processing oriented electronic communication engineering is important for improving the performance, reliability and efficiency of communication systems.
In this paper, strategies in image preprocessing, hardware composition and detection methods are considered to improve computerized machine vision detection accuracy. First, image preprocessing and image enhancement are performed to improve the quality of the input image. Second, the hardware composition of the computer vision online inspection system is optimized by focusing on the light source selection and the performance of the image acquisition card in spatial applications. Combined with spatial application calculations, methods such as frequency domain method and Canny operator are used in order to improve the accuracy of machine vision detection. Finally, in the same test environment, the machine vision detection requires only 400MB and the detection accuracy ranges from 85.13% to 99.42%. With these comprehensive strategies, this paper provides a comprehensive and effective approach for computerized machine vision detection in spatial applications to improve detection accuracy and meet demanding application scenarios.
As an expression of the informal economy, the night market is not only a place that could attract locals to buy goods but also a place where tourists can experience the local characteristics. While the night market brought economic vitality to the city's economy, it also brought some issues. A comprehensive literature review of night markets revealed that existing studies paid less attention to outdoor night markets' spatial operations and waste management. Grounded in the connection between sustainability and night markets, the present study reflected on existing research findings by adopting different periods of fieldwork to conduct a case study of the night market in Jalan 17/1A, Selangor, Malaysia. The study focused on three aspects of night markets: spatial operations, waste, and waste recycling. It found that night market operations brought localized regional economic benefits while causing more severe pollution issues, significantly affecting the region's environmental health and sustainable development. The findings revealed that local government regulation of night market businesses in Malaysia is weak (the issuance of business licenses is informed of the operational guidelines), and there is also no relevant monitoring and penalties by the local government to intervene in the misbehavior of night market consumers. Based on the results of the field survey and combined with the concept of sustainable development, the present study recommended suggestions for the future spatial operation and waste management of night markets. Innovative and novel perspectives of the study combined qualitative observations and data analysis to comprehensively examine how spatial considerations and waste management strategies intersect in the unique context of night markets—aiming to fill the gaps in the sustainability of night market operations and to protect the ecology of the surrounding territorial environment, contributing to the discourse on sustainable development.
In recent years, PEST analysis and its application in decision-making has become a hot topic, and this paper proposes a new model of PEST analysis based on neutral cognitive map static analysis.The proposed framework consists of five activities, identifying PEST factors and sub-factors, modeling the interrelationships among PEST factors, calculating centrality measures, categorizing the factors, and ranking the factors.The results show that the impact factor of the US breeding patent on the development of agricultural science and technology has reached the level of interrelationship, and the uncertainty is included in the analysis. Using this model to analyze the impact of U.S.-China breeding patents on the development of agricultural science and technology, we ranked the factors according to their interrelationships and incorporated uncertainty into the analysis. The results showed that the impact factor of U.S. breeding patents on the development of agricultural science and technology reached 0.70, and the index of the Gross Agricultural Product (GAP) caused by patents was greater than 100. The quantitative analysis of the impact of Sino-US cooperation in agricultural science and technology using PEST analysis has scientifically and accurately grasped the quantitative law of Sino-US agricultural science and technology cooperation.
This paper firstly structures the control system to ensure that the full-cost refinement management has a basis and forms a closure in the management chain. Secondly, it enhances the project system management, solidifies all the nodes, puts the communication mechanism in front, and ensures the efficient synergy and reasonable division of labor while establishing the efficient management and communication mechanism, so that it is located in the full-cost refinement management. Finally, the AHP method is used to choose the implementation method of the information system, so as to adapt the full-cost refinement management to the needs of each level and realize the application of full-cost refinement management in the economic management of the enterprise. The final simulation results show that the consistency ratio calculations of the decision-making level management organization, the executive level management organization, the basic level production department, and the other learning and growth, CR are 0.017, 0.023, 0.031, and 0.013, respectively, which are all less than 0.1, and pass the consistency test and do not need to be adjusted. It shows that the results of the calculation of the stratified weight assessment of the full-cost refined management provide an effective guarantee for the economic management of the enterprise, and can be found to be unreasonable in the process of practice, and make timely adjustments to solve the problem.
In this paper, a journal resource integration system under digital sharing was designed to assess the symmetry of the journal resource matrix using the shared resource matrix analysis method, so that the journal resources can transmit information covertly among the subjects. Subsequently, the collected journal resource data were processed to improve the accuracy of information categorization and integration to form a perfect resource management system. The nature of journal resources was deeply understood by calculating the characteristic observable vectors of journal resources. Finally, with the help of ant colony particle optimization algorithm, the sharing sequence and time of journal resources were calculated, and the metadata format of all journals was unified and standardized to complete the design of journal resource integration system. The results show that the whole average integration efficiency of journal resources is 92.8%. Compared with the traditional integration system, the integration efficiency is improved by 28.3%, which fully confirms the significant performance improvement of the designed digital system in the integration of shared journal resources.
The increasingly complex structure of enterprise economy highlights the drawbacks of traditional accounting, and this paper builds an intelligent platform to meet these challenges. Based on the overall objective, the design constructs the functional framework of full -scene reporting, budget control, intelligent filling and automatic accounting. In terms of technology application, OCR is applied to intelligent accounting, and bills are automatically filled through image processing and character recognition. Meanwhile, the enterprise financial process is reshaped based on process reengineering, and intelligent financial calculation methods are proposed. The study shows that the financial accounting intelligent platform significantly improves the total asset turnover rate of the enterprise, and the positive correlation between the two reaches 0.257. After the introduction of the intelligent platform technology in the accounting work, its technological advantages have brought a positive impact on the accounting work of the enterprise, and has brought substantial benefit improvement for the enterprise.
With the growing emphasis on energy conservation and emission reduction in Iraq, there has been a rising focus on the consumption of energy in buildings. This phenomenon is attributable to its substantial contribution to aggregate energy consumption within society. Consequently, the primary focus of energy conservation research has been directed towards this particular domain. There has been a growing emphasis in energy conservation research on public buildings characterized by elevated levels of energy consumption. The examination of energy conservation in expansive public structures carries substantial practical significance and societal value. This study employs a building in Baghdad City - Iraq, as a case study. The research was centred on the execution of experiments pertaining to insulation, the ratio of windows to walls, and the thickness of window glass. A comparative analysis was undertaken through the implementation of simulations that considered the climatic conditions of the Baghdad- Iraq region. In order to evaluate energy efficiency, a variety of software applications were utilized, namely Revit, Ecotect, and Hap. The results showed that when analyzing the climate of Baghdad, it was observed that the total cooling savings ranged from 2.34% to 2.45%. As a result, it was determined that the optimal insulation thickness is 11cm. Additionally, it was observed that the energy savings in cooling remained consistent. The analysis of window-to-wall ratios has shown that the highest level of savings can be achieved by maintaining a window-to- wall ratio of 50%. During the calculation of window glass thickness, it was discovered that in the city of Baghdad, the ideal glass thickness is 2mm. This thickness leads to a 1% reduction in annual energy consumption for cooling purposes. The results of this study are significant as they can significantly contribute to reducing energy consumption. Furthermore, the authors highlight the potential for improving energy efficiency in the buildings situated within the specified study area.
As a relatively mature energy storage technology, charge/discharge devices are bound to develop significantly in the contemporary society among them energy is increasingly scarce. The traditional charging and discharging device is not smart enough, slow charging and discharging and other shortcomings have limited its further high-speed development. The application of functional materials and high-voltage pulse technology can drive the further development of charging and discharging devices. In this study, a safe, low-cost, functional material with high adsorption capacity was developed. At the same time, this functional material is applied to the charging and discharging device to improve the storage capacity and discharge efficiency of the device. In addition, we combine high-voltage electric pulse technology with charging and discharging technology to improve the charging and discharging rate of the charging and discharging device. It has certain guidance and reference values for the development of high-voltage electric pulse charging and discharging devices. According to the test results, the dynamic adjustment time of the charging module output current is only 20ms, and the dynamic adjustment response time of the discharging module input current is about 0.14s. The device provides a new idea for the development of high-voltage electric pulse charging and discharging equipment.
The phenomenon of noise interference during vocal transmission can lead to the problem of poor vocal transmission quality. This paper proposes a study on the sustainability of vocal ecology in a digital ecological environment. First, the matching tracking algorithm can extract the time-frequency characteristics of the effective signal, attenuate the interference of noise, and improve the propagation quality. A sustainable development GA-BP network model is established, and the adjustment amount of each weighting coefficient is obtained according to the gradient algorithm and using the inertia adjustment strategy. The coordination is regulated through feedback control strategies to ultimately achieve ecological sustainability of vocal music. The analysis results show that the average relative error of the simulation prediction of the sustainable development GA-BP network model is 3.54%, the maximum relative error is 8.11%, and the average relative error is within 5% of 70%. It has significant superiority and high efficiency in comparison with the prediction degree of the traditional model.
For several decades, the development of metal-oxide-semiconductor field-effect transistors have made available to us better circuit time and efficiency per function with each successive generation of CMOS technology. However, basic product and manufacturing technology limitations will make continuing transistor scaling difficult in the sub-32 nm zone. Field impact transistors with fins were developed. offered as a viable solution to the scalability difficulties. Fin field effect transistors can be made in the same way as regular CMOS transistors, allowing for a quick transition to production. The use of inserted-oxide FinFET technology was presented as a solution to continue transistor scaling. Due to gate fringing electric fields through the added oxide (SiO2) layers, the electromagnetic integrity of an iFinFET is superior to that of a FinFET. We discovered that the proposed mobility model functions admirably and that the Joule effect mostly influences the drain current and the heat source. The major goal of this work is to compare the performance characteristics of combinational logic using CMOS and FinFET technology. The inverting gate is modelled in HSPICE simulation on a 32nm transistor size utilising CMOS and FinFET structures, and respective performances, such as energy consumed, are examined.
Due to the new development stage, it is especially important to improve the education quality of private undergraduate universities. As a result, it is a new hot issue for the construction of a mechanism and assessment system for the quality improvement of private undergraduate education. In this paper, after analyzing and researching the quality of undergraduate education in present-day universities, the mechanism of deep learning is applied to the establishment of the assessment system. Finally, 1082 samples collected from the data center platform of a private university are analyzed as the research object. From the results, the final size of the combined weights of the seven evaluation items constituting the assessment system differed basically little. They were 12.81%, 15.78%, 15.28%, 14.38%, 12.83%, 12.81%, 15.01%, and 13.27%, respectively. In the comparison of this paper's method with FAHP+TOPSIS combined evaluation, euclidean map method, and genetic algorithm assignment, the difference between the seven weight values of the euclidean map method is larger, 5.56%. The evaluation times of the four methods were 41 s, 38 s, 47 s, and 118 s. Compared with the other three methods, the genetic algorithm assignment took the most time.
In this work, a pure (PVA) polymer film reinforced with magnesium oxide, graphene oxide poly (o-phenylene diamine) (GO-MgO-PoPDA) was created utilizing the solution casting process in various weight ratios (0, 2, 4, 6, 8, 10 wt%). It was investigated how varied weight ratios of the nanoparticles magnesium oxide (MgO) and graphene oxide (GO) affected the Dielectric Properties of nano composite films. FTIR, SEM,X-RAY were used to characterized the nanocomposite. The results of the dielectric properties showed that the values of the alternating electrical conductivity of the prepared films increase when adding (GO-MgO-PoPDA) nanoparticles and with the increase of the frequency of the applied electric field and the increase of the particle content, while the values of the dielectric constant increase with the increase of each of the content of (GO-MgO- PoPDA) nanoparticles, but it decreases with increasing frequency. Whereas, the dielectric loss coefficient of the prepared films decreases when nanoparticles are added and with increasing frequency.
This study aims to achieve the following goals: 1- To distinguish between the inelastic responses of buildings under earthquakes with NFGM and FFGM. 2- To inspect the effect of soil shear velocity on the response spectra. Several earthquake events, with different characteristics, are brought from the PEER website for “Pacific Earthquake Engineering Research” and analyzed using PRISM software to achieve these goals. The research found that the acceleration, velocity, and displacement response of the selected near-fault ground motions on the structure has a higher effect than the far- field ground motion response in both types of soils and this difference is displayed more noticeably in long periods (periods after 0.2 sec). And when comparing responses of the two types of soils (the soft soil type and the rock type) it shows that the geological and geotechnical aspects of the soil deposits majorly affect the response spectra of the free field surface motions
With the gradual deterioration of today's ecological environment, there is an urgent need to improve the quality of environmental education. The current environmental education has grown somewhat with the increase in government investment. However older teaching methods seem inadequate to deal with the current situation. The integration of music teaching into environmental education, as explored in this paper, can be a good solution to this problem. This fun and educational approach is a good way to enhance students' interest in learning. After the corresponding discussion on the value of integration, the article used hierarchical analysis to conduct a fuzzy comprehensive evaluation of the combined utility. After stratifying the corresponding influencing factors, the weights were assigned and satisfactory evaluation results were obtained. An example was used for the analysis in this paper. The results showed that third graders with appropriate education got a significant improvement in their scores than sixth graders with no education. Both their median and mean scores improved from 66 and 60 to 70, respectively. More students are also concentrated in the high-score segment. In terms of the direction of focus, the percentages of the four areas of saving food, saving water, saving electricity, and separating garbage all changed. The values of the corresponding numbers for the third and sixth grades are 29%, 20%, 23%, 28% and 29%, 15%, 21%, 35%, respectively.
Blended teaching is a model of teaching that combines traditional classroom teaching with online teaching. The integration of blended teaching is not only the integration of carrier means but also the breakthrough of teaching mode and the expansion of teaching time and space. Based on the theory of education ecology, this paper first analyzes the mixture of college English translation teaching modes and indicates that the college English translation teaching system from the dimension of the language training system, cultivation system, and communication dimensions cultural dimensions of three parts, and communicative dimension culture contains three platforms, four interaction, five links. Then, the hardware and software of the hybrid teaching ecosystem are designed to realize translation teaching. In the test to verify the system performance in this paper, it was found that the overall iteration value of the system presented a rising trend with the increasing number of tests, and in 6 tests, the maximum iteration value of the system in this paper was always 3-12 higher than the maximum iteration value of the teaching system in the traditional protocol data test group. Therefore, the hybrid teaching ecosystem designed in this paper has obvious advantages in reliability and practicality.
In order to make the game industry chain be developed structurally, this paper designs a functional game industry expansion path based on VR realistic technology to enhance the interactivity of functional game industry expansion. The interactive 3D model is used to integrate the professional game engine and design the functional game expansion process. The motive of game expansion is guided by the ARCS model to support the construction of functional games. According to the VR realistic game experience, analyze the expandable paths from the modules of technological innovation and industrial integration in order to enhance the realistic experience of integrated industries in functional games. The simulation analysis of the expansion path of the functional game industry based on VR realistic technology shows that VR realistic technology improves the signal-to-noise ratio of functional games by 50% on average, height and cross-roll angle changes by 6.65f/ms and 6.79f/ms respectively, and the number of textures is up to 16.68MB. Therefore, VR realistic technology is beneficial to promote the transformation of the functional game industry it can ensure that the functional game industry steps into a sustainable and expandable track of transformation and upgrading.
With the rapid development of big data technology, it has greatly changed the way people get information, and also improved the speed and quality of information. In this context, smart sports has become a new trend in sports development. This paper creates an intelligent learning environment and builds a smart sports platform through advanced concepts and technical means, which can effectively optimize the integration and sharing of sports resources. Starting from the overall architecture design of smart sports, the key technologies of machine learning model to realize smart sports are sorted out. Through the five basic linking stages with machine learning model as the core, the value innovation path of platform construction structure is analyzed. The current status of sports resources application is studied, and the data mining algorithm is used to calculate the user usage data of the smart sports platform and improve the construction of the smart platform. Through the construction of the smart sports platform, people shift from traditional reading books and watching TV programs to getting information through intelligent mobile terminals, and the proportion of attention to sports information is as high as 58.6%. This shows that by building a smart sports platform, it can provide support and guarantee for the sustainable development of sports.
With the continuous progress and development of society and the outstanding achievements of football in the field of competitive sports in recent years, the enthusiasm of citizens to participate in sports and fitness has become higher and higher. The course turf ecology is a multi-layered organic whole composed of many natural and social factors, which is an important symbol of football competitiveness. It can be predicted that the relationship between sports and the environment and the impact of environmental changes on consumer intentions are global and long-term. Therefore, according to the annual change status and formation factors of ecological benefits such as carbon sequestration and oxygen release, transpiration water release, and heat absorption in the turf of a football field in a city, the time series stability test method and the multiple regression analysis method are used to discuss the comprehensive application of the lawn ecology of the football field in enhancing the intention of sports consumption. The experimental results verify that the ecological benefits of lawns have a significant positive effect on sports consumption intentions, which can not only optimize the unreasonable sports consumption structure, improve the level of sports consumption, and increase the proportion of consumption amount of more than 5,000 yuan from 5.06% to 23.34%, but also make the leading sports consumption motivation from a more symbolic display of personality, status symbols, and social entertainment to a sportsmanlike physique, entertainment, spiritual enjoyment, and positive guidance of sports consumption motivation.
