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.

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.

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.

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.

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 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.

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.