Research on Cooperation Mechanism of China's Financial Regulation and Supervision System

Financial regulation and supervision is an important subject in finance research. After the U. S. subprime mortgage crisis,the weakness in this field becomes the research focus. Every country attaches importance to strengthen the financial supervision and management. But the financial regulatory system is a large system,and the process of model building and index selection is very complicated. A model for China's financial regulation and supervision system was proposed and a system evaluation method was improved. A more exact result was drawn by choosing 2003- 2009 index data.

Research on effectiveness of coal mine safety supervision system reform on three types of collieries in China

Coal mine safety supervision system plays an important role in the coal mine safety management in China.However,the current supervision system is established on the basis of learning the advanced experience from other developed countries.It needs to be further improved according to national conditions.Therefore,the effectiveness of coal mine safety supervision system reform on three types of collieries are assessed by using time series analysis method based on comparative analysis of the supervision system before and after the reform in this paper.The regression results show that the structural reform is not conductive to the improvement of coal mine safety situation in the short term,but conductive significantly in the long term.Specifically,the effects in township coal mines are more significant than stateowned key coal mines in the long run,but negative effects also exist in the short term.The negative effects in state-owned key coal mines are non-significant compared with township coal mines.Moreover,the regression results are analyzed from the aspects of the closure policy of illegal small township coal mines at the end of 1998 and shortage of the new supervision system.Finally,the suggestions on improving the new supervision system are put forward based on the above analysis.

Influencing Factors and Path Choice of Rebuilding Rural Financial Supervision System

The necessity of rebuilding Chinese rural financial supervision system is expounded. Rebuilding rural financial supervision system is conducive to normalizing rural financial order and forming the benign competitive situation; to clarifying the role played by rural financial organization and providing better financial services for "three agriculture";to forming safe rural financial environment to promote the development of rural economy and national economy. The restricting factors of rebuilding Chinese rural financial supervision system are analyzed. The major reasons are that rural financial legislation is relatively backward and the supervision department lacks the necessary legal basis. The administrative supervision is insufficient, which lead to the mal-position, administrative offside and vacancy of rural financial supervision;rural financial organization mechanism is unreasonable and the internal supervision mechanism is relatively bad;supervision organization of rural financial industry is imperfect and the function is imperfect; public's supervision awareness is weak and social supervision mechanism develops slowly. The paths for rebuilding Chinese rural financial supervision system are put forward including accelerating rural financial legislation to provide perfect legal evidence for rural financial supervision system; clarifying the position on governmental functions and fully displaying the leading role of rural financial supervision; establishing specialized rural financial supervision organization to perfect its supervision functions; vigorously cultivating people's supervision awareness to promote the development of social supervision mechanism.

A Preliminary Study of Embedded Supervision Thoughts:Based on a Distributed Financial System

Regulation of technology has been a hot issue in the financial field in recent years.Traditional financial regulation is constructed by a centralized account system,which relies on ex-ante regulation.Embedded supervision,which relies on regulation during and after the matter,operates in a decentralized and trusted environment and has the characteristics of high efficiency,transparency,and safety.It provides a breakthrough to solve the lag of traditional financial supervision.This paper clarifies the concepts and theoretical basis of embedded supervision,constructs the embedded supervision model with a lag,and analyzes the feasibility of embedded supervision with a lag.This research can promote scientific exploration and method innovations in the domestic finance field,enrich China’s financial discipline system,and provide decision-making references for practical financial supervision innovation.

Problems of Rural Food Safety and Strategies of Constructing Supervision System

This paper expounds the practical necessity of constructing diversified rural food safety supervision system as follows: it is the necessary requirements of guaranteeing people's health and life safety; it is an important component of governmental function of social management and the logical extension of administrative responsibilities; it is the basis of maintaining order of rural society and constructing harmonious society. The main problems existing in the supervision of rural food safety are analyzed as follows: first, the legislative work of rural food safety lags behind to some extent; second, the supervision of governmental departments on rural food safety is insufficient; third, the industrial supervision mechanism of rural food security is not perfect; fourth, the role of rural social organizations in supervising food safety is limited; fifth, the farmers' awareness of food safety supervision is not strong. Based on these problems, the targeted strategies of constructing diversified rural food safety supervision system are put forward as follows: accelerate the legislation of rural food safety, and ensure that there are laws to go by; give play to the dominant role of government, and strengthen administrative supervision on rural food safety; perfect industrial convention of rural food safety, and improve industrial supervision mechanism; actively support the fostering of social organizations, and give play to the role of supervision of organizations; cultivate correct concept of rights and obligations of farmers, and form awareness of food safety supervision.

Comparison and Enlightenment of China's and EU's Food Safety Supervision Systems

Food is the paramount necessity of the people,and safety is most essential for food. Food safety is related to people's fundamental interests,affecting people's basic health. It is an important factor in promoting people's livelihood development and social progress. Compared with European countries and the United States in developed food safety supervision systems,the development of food safety supervision system in China is still relatively backward. As food safety supervision is not in place,food safety incidents have occurred in recent years,so that public's panic about food safety has intensified. It has a strong impact on social stability and the food economy. Thus,strengthening the construction of food safety supervision system is imperative. Since experiencing a series of food safety incidents,the EU has gradually improved its food safety supervision system and has developed the most comprehensive and mature food safety supervision system in the world. On the basis of sorting out the characteristics of EU's food safety supervision system,the development direction of China's food safety supervision system is proposed from four aspects: supervisor,legal system,law enforcement ability and safety standards.

Research on the supervision system of social security fund ——based on the diversified supervision subject

Social security fund is the foundation of the social security to run, so to strengthen the supervision of social security fund, and promote the sustainable development of it is particularly important. However, the supervision of social security fund of China exists many difficulties at present. In this paper ,the author will be based on the angle of the diversity of regulation, and put forward some relevant suggestions to improve the system of supervision of social security fund.

Discussion on the Enhanced Accounting Supervision System of Financial Management

Accounting supervision is a management activity to monitor and supervise the production, business operation, and budget implementation in enterprises, and a good accounting supervision plays an extremely important role in the social and economic development. In China, there are many accounting supervision problems in accounting practice at present, and a lot of the problems have exerted a negative impact on the social and economic life. Therefore, the causes for these problems are discussed and analyzed, so that the corresponding methods and measures are proposed for solving the existing problems and promoting the accounting supervision to play a better and greater role in the financial management of enterprises.

Discussion on the Enhanced Accounting Supervision System of Financial Management

Accounting supervision is a management activity to monitor and supervise the production, business operation, and budget implementation in enterprises, and a good accounting supervision plays an extremely important role in the social and economic development. In China, there are many accounting supervision problems in accounting practice at present, and a lot of the problems have exerted a negative impact on the social and economic life. Therefore, the causes for these problems are discussed and analyzed, so that the corresponding methods and measures are proposed for solving the existing problems and promoting the accounting supervision to play a better and greater role in the financial management of enterprises.

Innovate Project Supervision System for Higher Engineering Construction Quality

With rapid development of PetroChina＇s Qinghai Oilfield, engineering construction quality becomes more and more important in infrastructure construction of the oilfield. Generally speaking, engineering construction quality is related both to national economic development and safety of people and assets. To turn a design map into a materialized object, the construction project involves a large number of elements, such as design, materials, machinery, landform, geological factors, meteorological factors, construction process, technological measures and supervision system. Therefore, quality control holds the key to a construction project.

Establishment of Supervision and Monitoring System for Taining Danxia World Natural Heritage Site

Taking Danxia World Natural Heritage Site in Taining for example, the way of establishing scientific and systematic supervision and monitoring system for the world natural heritage site was explored to ensure the scientific protection and sustainable development of world heritage site. Contents of supervising and monitoring heritage site were first elaborated, monitoring indexes given, and then contents, location, feedback and equipment requirements of heritage site monitoring proposed. Finally, the supervision and monitoring system for Danxia World Natural Heritage in Taining was established from three aspects: establishing the center of digital information monitoring and supervision center, adopting scientific monitoring means, improving distribution of supervision sites and long-range video monitoring system.

Innovation of Supervision System for Quality and Safety of Edible Agricultural Products

This paper elaborated multidimensional characteristics of quality and safety of agricultural products,introduced current situation of quality and safety supervision of edible agricultural products in China,analyzed existing problems of quality and safety supervision system and corresponding reasons,and finally came up with recommendations for innovation of supervision system for quality and safety of agricultural products.

Land Use Land Cover Analysis for Godavari Basin in Maharashtra Using Geographical Information System and Remote Sensing

The dynamic transformation of land use and land cover has emerged as a crucial aspect in the effective management of natural resources and the continual monitoring of environmental shifts. This study focused on the land use and land cover (LULC) changes within the catchment area of the Godavari River, assessing the repercussions of land and water resource exploitation. Utilizing LANDSAT satellite images from 2009, 2014, and 2019, this research employed supervised classification through the Quantum Geographic Information System (QGIS) software’s SCP plugin. Maximum likelihood classification algorithm was used for the assessment of supervised land use classification. Seven distinct LULC classes—forest, irrigated cropland, agricultural land (fallow), barren land, shrub land, water, and urban land—are delineated for classification purposes. The study revealed substantial changes in the Godavari basin’s land use patterns over the ten-year period from 2009 to 2019. Spatial and temporal dynamics of land use/cover changes (2009-2019) were quantified using three Satellite/Landsat images, a supervised classification algorithm and the post classification change detection technique in GIS. The total study area of the Godavari basin in Maharashtra encompasses 5138175.48 hectares. Notably, the built-up area increased from 0.14% in 2009 to 1.94% in 2019. The proportion of irrigated cropland, which was 62.32% in 2009, declined to 41.52% in 2019. Shrub land witnessed a noteworthy increase from 0.05% to 2.05% over the last decade. The key findings underscored significant declines in barren land, agricultural land, and irrigated cropland, juxtaposed with an expansion in forest land, shrub land, and urban land. The classification methodology achieved an overall accuracy of 80%, with a Kappa Statistic of 71.9% for the satellite images. The overall classification accuracy along with the Kappa value for 2009, 2014 and 2019 supervised land use land cover classification was good enough to detect the changing scenarios of Godavari River basin under study. These findings provide valuable insights for discerning land utilization across various categories, facilitating the adoption of appropriate strategies for sustainable land use in the region.

Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems

In the era of an energy revolution,grid decentralization has emerged as a viable solution to meet the increasing global energy demand by incorporating renewables at the distributed level.Microgrids are considered a driving component for accelerating grid decentralization.To optimally utilize the available resources and address potential challenges,there is a need to have an intelligent and reliable energy management system(EMS)for the microgrid.The artificial intelligence field has the potential to address the problems in EMS and can provide resilient,efficient,reliable,and scalable solutions.This paper presents an overview of existing conventional and AI-based techniques for energy management systems in microgrids.We analyze EMS methods for centralized,decentralized,and distributed microgrids separately.Then,we summarize machine learning techniques such as ANNs,federated learning,LSTMs,RNNs,and reinforcement learning for EMS objectives such as economic dispatch,optimal power flow,and scheduling.With the incorporation of AI,microgrids can achieve greater performance efficiency and more reliability for managing a large number of energy resources.However,challenges such as data privacy,security,scalability,explainability,etc.,need to be addressed.To conclude,the authors state the possible future research directions to explore AI-based EMS's potential in real-world applications.

Research on the intelligent supervision and operation platform of railway real estate

Railway real estate is the fundamental element of railway transportation production and operation.Effective management and rational utilization of railway real estate is essential for railway asset operation.Based on the investigation of the requirements of railway real estate management and operation,combined with Beidou positioning,GIS(Geographic Information System),multi-source data fusion and other cutting-edge technologies,this paper puts forward the multi-dimensional dynamic statistical method of real estate information,the identification method of railway land occupation and the comprehensive evaluation method of real estate development and utilization potential,and build the railway real estate supervision and operation platform,design the function of the platform,so as to provide intelligent solutions for the railway real estate operation.

Routine Supportive Supervision and Management of Medicines and Other Health Products and Technologies in Vihiga County, Kenya

Health Products and Technologies (HPTs) are pivotal for an efficient health system. Availability and accessibility to affordable health products are critical indicators towards achieving universal health coverage. Routine supportive supervision, performance monitoring, recognition of efforts and client feedback are vital activities toward health supply chain system strengthening. This is a descriptive paper that describes a model of integrated commodity supportive supervision, and mentorship and its impact on various outcomes of health commodity management. Data were abstracted from the standardized scored checklists used during integrated commodity supportive supervision and supply chain audit in public health facilities in Vihiga County. Scores for the period 2020 to 2022 were analyzed on the eight key areas of interest. The analysis was done using Statistical Package for Social Sciences (SPSS version 26). Results are interpreted at 95% Confidence interval. This paper also shares findings from both quantitative and qualitative data from client exit and facility managers’ interviews. Six complete rounds of supervisions, three clients and service providers’ interviews, and three annual award events have been conducted. We observed trends across six data collections points and compared the results at first point or baseline (January-June 2020) to the results at the last point or end line (April-June 2022). Findings show significant improvements on the eight parameters in terms of mean scores as follows: resolution of issues from previous visits by 35.06% (46.75% - 81.81%);storage of HPTs by 17.41% (68.72% - 86.13%);inventory management by 28.16% (42.67% - 70.83%);availability and use of commodity data management information systems (MIS) tools by 22.39% (74.40% - 96.79%);verification of commodity data by 25.61% (65.56% - 91.17%);availability of guidelines and job aids for commodity management by 46.28% (36.65% - 82.93%). There was an improvement on the mean score on accountability by 20.22% (58.58% - 83.51%). The composite (final) score improved by 28.33% (56.19% - 84.52%). There was progressive narrowing of the standard deviations on all the indicators across the study period. This demonstrates that there is standardization of practices and positive competition among all the public health facilities. There were significant improvements on all the eight indicators. Routine integrated commodity supportive supervision has proven to be an effective high impact intervention in improving management of health products and technologies in Vihiga County, Kenya.

Augmenting IoT Intrusion Detection System Performance Using Deep Neural Network

Due to their low power consumption and limited computing power,Internet of Things(IoT)devices are difficult to secure.Moreover,the rapid growth of IoT devices in homes increases the risk of cyber-attacks.Intrusion detection systems(IDS)are commonly employed to prevent cyberattacks.These systems detect incoming attacks and instantly notify users to allow for the implementation of appropriate countermeasures.Attempts have been made in the past to detect new attacks using machine learning and deep learning techniques,however,these efforts have been unsuccessful.In this paper,we propose two deep learning models to automatically detect various types of intrusion attacks in IoT networks.Specifically,we experimentally evaluate the use of two Convolutional Neural Networks(CNN)to detect nine distinct types of attacks listed in the NF-UNSW-NB15-v2 dataset.To accomplish this goal,the network stream data were initially converted to twodimensional images,which were then used to train the neural network models.We also propose two baseline models to demonstrate the performance of the proposed models.Generally,both models achieve high accuracy in detecting the majority of these nine attacks.

Human-pose estimation based on weak supervision

Background In computer vision,simultaneously estimating human pose,shape,and clothing is a practical issue in real life,but remains a challenging task owing to the variety of clothing,complexity of de-formation,shortage of large-scale datasets,and difficulty in estimating clothing style.Methods We propose a multistage weakly supervised method that makes full use of data with less labeled information for learning to estimate human body shape,pose,and clothing deformation.In the first stage,the SMPL human-body model parameters were regressed using the multi-view 2D key points of the human body.Using multi-view information as weakly supervised information can avoid the deep ambiguity problem of a single view,obtain a more accurate human posture,and access supervisory information easily.In the second stage,clothing is represented by a PCA-based model that uses two-dimensional key points of clothing as supervised information to regress the parameters.In the third stage,we predefine an embedding graph for each type of clothing to describe the deformation.Then,the mask information of the clothing is used to further adjust the deformation of the clothing.To facilitate training,we constructed a multi-view synthetic dataset that included BCNet and SURREAL.Results The Experiments show that the accuracy of our method reaches the same level as that of SOTA methods using strong supervision information while only using weakly supervised information.Because this study uses only weakly supervised information,which is much easier to obtain,it has the advantage of utilizing existing data as training data.Experiments on the DeepFashion2 dataset show that our method can make full use of the existing weak supervision information for fine-tuning on a dataset with little supervision information,compared with the strong supervision information that cannot be trained or adjusted owing to the lack of exact annotation information.Conclusions Our weak supervision method can accurately estimate human body size,pose,and several common types of clothing and overcome the issues of the current shortage of clothing data.

A Systematic Literature Review of Deep Learning Algorithms for Segmentation of the COVID-19 Infection

Coronavirus has infected more than 753 million people,ranging in severity from one person to another,where more than six million infected people died worldwide.Computer-aided diagnostic(CAD)with artificial intelligence(AI)showed outstanding performance in effectively diagnosing this virus in real-time.Computed tomography is a complementary diagnostic tool to clarify the damage of COVID-19 in the lungs even before symptoms appear in patients.This paper conducts a systematic literature review of deep learning methods for classifying the segmentation of COVID-19 infection in the lungs.We used the methodology of systematic reviews and meta-analyses(PRISMA)flow method.This research aims to systematically analyze the supervised deep learning methods,open resource datasets,data augmentation methods,and loss functions used for various segment shapes of COVID-19 infection from computerized tomography(CT)chest images.We have selected 56 primary studies relevant to the topic of the paper.We have compared different aspects of the algorithms used to segment infected areas in the CT images.Limitations to deep learning in the segmentation of infected areas still need to be developed to predict smaller regions of infection at the beginning of their appearance.