Supervision System Research Articles

SmartDED: A Blockchain- and Smart Contract-Based Digital Electronic Detonator Safety Supervision System

Digital electronic detonators, as a civil explosive, are of prime importance for people’s life and property safety in the process of production and operation. Therefore, the Ministry of Industry and Information Technology and the Ministry of Public Security of the People’s Republic of China have extremely high requirements for their essential safety. Existing schemes are vulnerable to tampering and single points of failure, which makes tracing unqualified digital electronic detonators difficult and identifying the responsibility for digital electronic detonator accidents hard. This paper presents a digital electronic detonator safety supervision system based on a consortium blockchain. To achieve dynamic supply chain supervision, we propose a novel digital electronic detonator supervision model together with three codes in one. We also propose a blockchain-based system that employs smart contracts to achieve efficient traceability and ensure security. We implemented the proposed model using a consortium blockchain platform and provide the cost. The evaluation results validate that the proposed system is efficient.

Problems and Improvement of The Guardianship Supervision System for Minors in the Civil Code

In recent year, the issue of supervision of minor guardianship has gradually become a hot topic of discussion. To a large extent, it is related to the frequent occurrence of cases of children's injuries due to the negligence of the guardians of minors in fulfilling their guardianship duties. At present, China has established a guardianship system which is mainly based on family guardianship and supplemented by state guardianship. However, this is only the relevant provisions of the juvenile guardianship system, and the system of juvenile guardianship supervision is still scattered in the Law on the Protection of Minors, the Civil Code, and the Law on Combating Domestic Violence, etc., which is most obviously manifested in the generality and limitations of the provisions of the juvenile guardianship supervision system, and the limitations of the scope of the adjustments have led to the passivity of the minors in safeguarding their rights. Modern society advocates "children's rights-based", under this trend, the custody of minor children will not only the family within the matter, but also should be included in the adjustment of society and the state, with the help of their power to safeguard the legitimate rights and interests of minors. In this paper, we will start from the existing system of supervision of minors' guardianship in China, discuss the lack of supervision system of minors' guardianship, and put forward some suggestions for improvement.

Peranan Sistem Pengawasan Keuangan Desa Dalam Mendukung Efektivitas Audit

This study aims to determine the role of the Village Financial Supervision System in supporting audit effectiveness at the Inspektorat Daerah Kabupaten Banyumas. This research uses case study qualitative research. The population in this study are 43 users of the Village Financial Supervision System (Siswaskeudes) then a sample of 12 people take using purposive sampling method. Data analysis using qualitative data analysis is the process of selecting, sorting and organizing data that researchers have collect from several sources including field notes, interviews, observations and documentation and the research theory that researchers use is UTAUT and Luder Contigency Model. The results of this study indicate that the role of the Siswaskeudes Application in supporting audit effectiveness at the Regional Inspectorate of Banyumas Regency is to determine priority villages for audits (based on risk analysis), Produce Audit Work Programs and Audit Working Papers automatically and standardized, Audit becomes effective and efficient, easy access to village government financial reports and formulate problem maps as a basis for further action. The driving and inhibiting factors in the use of the Siswaskeudes Application in supporting audit effectiveness at the Regional Inspectorate of Banyumas Regency using the Luder Contigency Model, The stimulant in using the Siswaskeudes Application is the number of villages that must supervise are 74,961 villages but the number of APIP is only 9,124 people. Social Structural Supporting Factors from the user's side, obstacles in Implementation from the user's side of the Siswaskeudes Application including.

Hierarchical spatial attention-based cross-scale detection network for Digital Works Supervision System (DWSS)

Vision-based on-site detection is a crucial component of the Digital Works Supervision System (DWSS). However, accurate detecting cross-scale objects in complicated construction sites remains a challenge. In this research, a hierarchical spatial attention-based cross-scale detection network is designed to address these challenges and provide accurate on-site information for the DWSS. Firstly, a convolutional neural network is constructed to extract multi-scale feature maps with different levels of information. Furthermore, a hierarchical spatial attention mechanism is proposed to facilitate information propagation and complement between multi-scale feature maps. Secondly, the cascade detection mechanism is designed to improve the detection performance of cross-scale objects. Large-scale feature maps with more detailed information are used for the detection of small-scale objects such as workers. Small-scale feature maps with semantic features are used for the detection of large-scale objects such as construction machines. Finally, the on-site information is automatically extracted from detection results and converted into suitable data formats to generate on-site reports for the DWSS. Experiments demonstrate that the proposed method can achieve SOTA detection performance on both MOCS and SODA dataset, especially for the small-scale objects and complicated construction scenarios.

Parvovirus B19 infection: characteristics of population immunity in the world

Parvovirus B19 infection (PVI) is one of the relatively new problems in infectology, data on the study of its prevalence in our country began to appear only at the beginning of the twenty-first century. The article presents the results of an analysis of studies from available literature sources highlighting the prevalence of PVI markers at the population level among different social groups of the population at the present stage. The clinical manifestations of PVI are diverse, which requires differential diagnosis, both with exanthemic infectious diseases and with non-infectious pathology. Due to the peculiarity of PVI pathogenesis, it is relevant for various socially significant populations, primarily patients with exanthemic manifestations of various diseases, persons from among blood donors, pregnant women and women planning pregnancy. Furthermore, unlike most countries, our country does not have a system for PVI detecting and reporting in the system of state sanitary and epidemiological supervision, which makes it difficult to conduct research on this topic.

Enhancing supervision efficiency and satisfaction: Evaluating the impact of the e-monprakerin model on vocational high school apprenticeship monitoring

This study presents a novel approach to addressing the challenges brought about by Industry 4.0 in vocational education, particularly within the context of Indonesia's evolving industrial landscape. With industries increasingly embracing digitalization and automation, traditional apprenticeship supervision methods have struggled to keep pace. In response, this research introduces the e-monPrakerin model, an electronic-based supervision system tailored for vocational high schools (Bahasa: Sekolah Menengah Kejuruan/SMK). Through rigorous evaluation employing a randomized control group pretest-posttest design, the study demonstrates the effectiveness of the e-monPrakerin model compared to conventional methods. Results reveal significant improvements in practicality and user satisfaction, with practicability scores soaring from 41.1% to 81.3% and user satisfaction scores escalating from 31.6% to 84.4% post-implementation. These outcomes underscore the e-monPrakerin model's ability to optimize apprenticeship monitoring, offering a cost-effective, user-friendly, and efficient solution for navigating the complexities of Industry 4.0. By leveraging information technology to bridge the gap between vocational education and industry demands, this research sheds light on the practical implications of digital monitoring solutions. Ultimately, the e-monPrakerin model represents a substantial advancement in vocational education, showcasing the efficacy of technology-driven approaches in enhancing monitoring efficiency and user satisfaction. This contribution adds valuable insights to the field, benefiting educators, policymakers, and stakeholders alike in their efforts to equip the workforce with the skills necessary to thrive in the era of Industry 4.0.

Study on the Necessity and Feasibility of Lawyer's Intervention in the Detention Stage of Discipline Inspection and Supervision

The promulgation of Law of the People's Republic of China on Supervision aims to provide strong support to improve the regulatory system in the past. However, this Supervision Law does not stipulate the specific content of lawyer's intervention at the detention stage, and the legitimate rights and interests of the detained object cannot be guaranteed. This paper will explore the necessity and feasibility of lawyer's intervention in detention work from the perspective of the absence of lawyers in the supervision law. Based on the practical experience of China's supervision system reform, this paper will also put forward some institutional suggestions on the identity, mode and time of lawyer's intervention in supervising detention measures, so as to improve the right protection mechanism of supervision law.

Study on the technical management practice of rock burst prevention and control - Case study of Yankuang Energy Group Company Limited

To ensure the on-site implementation of regulations and technical measures for rock burst prevention and control, taking Yankuang Energy Group Company Limited. as an example, an on-site technical management system for preventing and controlling rock burst in coal mines is established. This on-site technical management system is based on the principles of “zero rock burst accident”, “graded management and control”, “general manager and chief engineer responsibility”, and “scientific, systematic, streamlined, and efficient management”. This system includes a technical management system and an on-site management mode, among which the former includes an organizational system, an institutional system, a technical data management system, and a comprehensive supervision and management system. Each system is interrelated, mutually promoting and supporting the other system. The on-site management mode includes five aspects and six links. These “five aspects” refer to the standardization of safe production, normalization of on-site operations, processization of system operation, quantification of antirisk ability, and demonstration of mine management. The “six links” on-site management mode includes the management system, source risk management and control, dynamic risk analysis, monitoring and control, on-site implementation and management, and emergency management. The construction of an on-site technical management system for rock burst prevention and control can ensure the timely detection and rectification of problems, remove management loopholes, and prevent the occurrence of rock burst disasters.

Membangun Kapasitas Tata Kelola Pengawasan Ketenagakerjaan Bidang Keselamatan dan Kesehatan Kerja (K3)

The issue of implementing national K3 labor inspection includes two main aspects, namely governance and capacity building. The two main issues relate to weak awareness of the importance of implementing OSHMS in the workplace, weak understanding of K3 as part of human rights, weak criminal sanctions related to K3, relatively low coverage of K3 supervision, overlapping technical K3 regulations between institutions, weak quality, quantity and competence of K3, as well as the lack of synergy and integration of the operational supervision system between the central and regional governments. The author analyzes empirical data and reviews previous research using a systematic flow prism framework, and juxtaposes it with the fundamental theoretical concepts of governance, capacity building and labor inspection. The results of the analysis produce a hypothetical framework for building capacity for labor inspection governance in the K3 sector. This requires strategic intervention in human resource capacity, organizations and institutions, as well as governance that needs to be jointly constructed on the basis of an agreement on the principle of joint involvement. So, during the management and implementation process, each stakeholder/actor can be adaptive, the system and implementation of supervision can be more effective and efficient, where continuity and feedback from the accumulated process can reduce the impact and influence of uncertainty and the dynamics of a dynamic workforce environment.

Systemic Importance and Risk Characteristics of Banks Based on a Multi-Layer Financial Network Analysis.

Domestic and international risk shocks have greatly increased the demand for systemic risk management in China. This paper estimates China's multi-layer financial network based on multiple financial relationships among banks, assets, and firms, using China's banking system data in 2021. An improved PageRank algorithm is proposed to identify systemically important banks and other economic sectors, and a stress test is conducted. This study finds that China's multi-layer financial network is sparse, and the distribution of transactions across financial markets is uneven. Regulatory authorities should support economic recovery and adjust the money supply, while banks should differentiate competition and manage risks better. Based on the PageRank index, this paper assesses the systemic importance of large commercial banks from the perspective of network structure, emphasizing the role of banks' transaction behavior and market participation. Different industries and asset classes are also assessed, suggesting that increased attention should be paid to industry risks and regulatory oversight of bank investments. Finally, stress tests confirm that the improved PageRank algorithm is applicable within the multi-layer financial network, reinforcing the need for prudential supervision of the banking system and revealing that the degree of transaction concentration will affect the systemic importance of financial institutions.

Challenges and Countermeasures of Internet Banking Supervision

Due to the continuous innovation of computer technology and the popularization of the Internet, the number of users, transaction volume and economic benefits of cyberbanking have shown a significant growth trend, which has contributed to the rapid development of cyberbanking. Compared with traditional banks, Internet banks utilize information technology in a more diversified way, and their service efficiency has been greatly improved. However, there are still many problems in China's Internet banking, such as failure to build a perfect legal supervision mechanism, ambiguous supervisory model and unclear supervisory content, which affect the safe operation of cyberbanking. Based on this, we should improve the legal system of cyberbanking supervision, explore new cyberbanking supervision model, and clarify the content of cyberbanking supervision, and improve the cyberbanking supervision system, so as to strengthen the legal supervision of cyberbanking and promote the healthy development of cyberbanking.

Revitalization Supervision Islamic Banking in Enhancement Compliance in Indonesia and Malaysia

This study is indicated with social reality that, following three decades of dual banking system implementation in Indonesia, Islamic banks' operational activities are essentially identical with the operations of conventional banks. The thing that distinguishes is only the Shariah "brand". In the vast zone of national banking industry, Islamic banks are still being the "followers" of conventional banks with approximately 6.65% market share. The focus of study is on the Islamic bank supervision system by DPS, the Shariah Bank Compliance Directorate, and OJK in carrying out supervisory functions related to fields of duty. The study methodology applied is a normative legal study which includes a study of norms, principles of sharia banking law, and the opinions of sharia economic law experts, while those used are a statutory approach and a sociological approach. The next stage of data analysis is data display, which illustrated through tables, figures, and graphs. Data categorization was carried out relied to the theme to identify the implementation of Islamic bank supervision duties in conforming to Shariah principles and the implementation of laws and regulations. The results showed that there are several problems in Islamic bank supervision institutions that make supervisory performance not optimal and pose potential legal risks for the bank. The roles of DPS, the Directorate of Shariah Bank Compliance, and OJK, which run independently and inefficiently, create overlapping aspects of Islamic bank supervision. This study recommends amending UURI No. 21 of 2008 about Shariah Banking by giving attributive responsibility to DPS to sanction Islamic banks that proved to violate Shariah principal compliance and establishing the OJK regulations on Islamic banking audit instruments.

The development of a framework for clinical education programme of undergraduate nursing students in Ghana

IntroductionClinical education is an important aspect of the training of nursing students but it is faced with challenges in Ghana. The development of a framework will respond to the need for improvement in the quality of clinical nursing education. This study describes part of a larger study which culminated in the development of a framework for a clinical education programme for undergraduate nursing students in Ghana. The aim of the current study was to integrate findings from a scoping review and situational analysis to develop a framework for clinical education in nursing.MethodsA sequential multimethod design approach was used to conduct the study. A scoping review on the practices that facilitate clinical nursing education and situational analysis were first conducted. The lessons learnt from the scoping review and the situational analysis provided the data matrix that was triangulated to develop the framework. The framework was developed using the model for clinical education developed by South African Nursing Education Stakeholders in consultation with experts in nursing education. An implementation plan was developed from the framework and evaluated using a Delphi technique.FindingsThe resulting framework indicates the need for effective communication and collaboration between nursing education institution and the service setting to ensure that there is a well-structured clinical placement, formal supervision system and effective clinical assessment of students. The framework also proposes that to ensure quality clinical nursing education there is the need for Nursing Education Institutions to implement innovative and cost-effective clinical teaching methods.ConclusionThe framework spells out the functions of the various stakeholders in nursing education and how these can be integrated and implemented to enhance quality clinical nursing education. Effectiveness of the thematic areas of the framework will increase the quality of clinical nursing education.

Novel IEC 61850-based off-site engineering and validation methodology for protection, automation, and control systems

The IEC 61850 standard has driven the development of power systems Protection, Automation, and Control Systems (PACS) over the past years. Although it is well-known for its communication protocols, several concepts and features are underused. This paper presents a new engineering and validation methodology applying the IEC61850 standards concepts to optimize the project life cycle by standardizing and enhancing engineering and testing. An electrical specification has been defined according to the IEC 61850 data modeling, reducing misinterpretations at the specification and configuration stage. The proposed top-down configuration approach establishes a user’s profile and product naming to eliminate the vendor’s dependability. The validations were performed using modern commercial tools. The results show that the proposed methodology makes it possible to have a reliable engineering process where the output of the previous stage provides all required information is independent of the next one. The project naming approach makes it possible to validate the system integration based on the agnostic system specification files in an early project stage. Thus, the protection devices and supervision systems can be validated independently, reducing integration issues in the later stages without affecting interoperability and making it possible to achieve interchangeability.

Deep practice of internet of things image recognition technology based on deep learning in intelligent financial supervision system

With the deepening development of the financial market, the role of regulatory systems in ensuring green and safe financial environment is becoming increasingly prominent. The traditional intelligent financial regulatory systems on the market lack precise and effective real-time monitoring and recognition capabilities, making it difficult to effectively process and analyze large-scale financial data. In order to improve the real-time recognition of abnormal situations or potential risks, achieve automation and intelligence of supervision, this article combines deep learning technology to study the deep practice of IoT image recognition technology in intelligent financial supervision systems. In response to the “data silos” and cross regional linkage issues faced by financial industry regulation, this article designs and implements an intelligent regulatory system based on IoT image recognition technology through deep learning. Using Convolutional Neural Network (CNN) algorithm to classify and analyze system images for regulatory and risk control purposes. The research results indicate that the intelligent financial regulatory system constructed in this article has high stability and responsiveness, which can effectively meet the real-time regulatory needs of finance and help promote the healthy development of the financial market.

Players' strategy selection in co-governance and supervision of internet platforms' monopolistic behaviors: A study on new media participation.

Incidents of monopolies among Internet platforms have seriously endangered the development of the market economy, public interest, and social fairness, making it a highly discussed topic of broad public concern. Preventing such incidents requires not only a comprehensive supervision system by governments, but also contributions from other relevant parties. The new media environment has provided a new platform to support such joint supervision from multiple parties. As such, this study constructed an evolutionary game model involving the government, Internet platforms, new media, and the public to explore the stable equilibrium point of players' strategy selections. The stability of the strategy combinations was tested using Lyapunov's first stability method, and MATLAB 2021b was used to conduct simulation analysis of the impact of each decision variable on players' strategy selection. The results showed that (1) new media participation in co-governance and public complaints/reports facilitated government supervision; (2) government's application of co-governance and supervision and public complaints/reports promotes compliance by Internet platforms; (3) new media plays a supplementary role when government supervision is lacking; the greater the impact of new media, the greater its supervisory effect on Internet platforms; and (4) effective reduction of costs stimulates the enthusiasm of the government and new media, and increases the success of the anti-monopoly co-governance and supervision system. Measures and suggestions to improve supervision of monopolistic behaviors among Internet platforms are proposed.

Strategic Planning And Instructional Supervision As Determinants Of Quality Assurance In Public Universities In Cross River State, Nigeria

Quality assurance plays a crucial role within the university education system. It is determined by upholding elevated standards in teaching, research, and the overall educational experience. This study investigated the interplay between strategic planning, instructional supervision, and quality assurance in public universities in Cross River State, Nigeria. Two hypotheses framed the study. The correlational research design was adopted. Census approach was adopted in selecting the entire population of 169 departmental heads and deans of faculties from two public universities in Cross River State. An instrument titled Strategic Planning, Instructional Supervision and Quality Assurance in University Scale (SPISQAUS) was used for data collection. It was validated by three experts in the department of Educational Management, Measurement and Evaluation, University of Calabar. The reliability was established using Cronbach’s alpha and it ranges from .80 - .89 respectively. The null hypotheses were tested at .05 level of significance using Pearson Product Moment Correlation Coefficient (r) and multiple regression analyses of statistical package for social science (SPSS) version 26 for data analysis. It was discovered that there was a statistically significant relationship between strategic planning, instructional supervision, and quality assurance in public universities in Cross River State, Nigeria. The study recommended among others, the university administrators must establish a robust instructional supervision system, which includes ongoing professional development for staff, effective classroom observation measures, and a culture that promotes constructive feedback.

Research on the Legislative Power of Special Economic Zones

There are two components to the zones of special economic’ dual legislative authority: the legislative authority of delegation and the legislative power of power. The challenge of balancing the legislative power of delegation and the legislation of functions under the dual-power legislation, the imprecise definition of the practical application of the legislative authority of the special economic zones, and the significant tendency toward departmentalism in the laws about special economic zones are the primary issues facing the legislative power of the zones. Future improvements to particular economic zones legislation’s procedural framework are desperately needed. These improvements should focus on bolstering the legislature’s guiding role, enhancing the normative character of draft legislation with authority, and enhancing the system for reviewing draft regulations. Construct a path for resolving conflicts between internal regulations, including clarifying the purpose and scope of authorized legislation, strengthening legislative supervision systems such as filing and review, and improving overall legislative planning and methods.

Hospital Medical Behaviour Supervision and Operational Efficiency Evaluation Method based based on Big Data Platform

The application of cloud computing and big data core technologies and concepts to medical informatization can improve its flexibility and efficiency, and achieve the overall deployment and intensive management of the system. In the era of big data, the use of information management platform can optimize and standardize clinical diagnosis and treatment process, improve the quality and efficiency of diagnosis and treatment services, and improve the quality and level of scientific research, which meets the requirements of medical reform for fine management of hospitals and precise medical treatment in the era of evidence-based medicine. This paper introduces the development and application of big data analysis in the field of information technology. Through the research on the supervision of hospital medical service behavior, the top-level design is used to standardize the content of medical behavior supervision, and the effectiveness of supervision is discussed to achieve the purpose of reducing clinical paperwork. Based on the needs, the medical service behavior supervision system is proposed and constructed. Strengthen hospital medical behavior supervision through hospital big data analysis and knowledge base system support. This system can provide management with an effective monitoring and management tool, enabling them to promptly identify and solve problems that arise in medical services. By analyzing a large amount of medical data, hospitals can help predict the trend of disease occurrence in advance, thereby taking preventive and control measures in advance, and reducing the occurrence and spread of diseases. Through deep learning and analysis of patient data, personalized treatment plans can be provided for each patient to improve treatment effectiveness.

Interest Rate Volatility and Economic Growth in Nigeria: New Insight from the Quantile Autoregressive Distributed Lag (QARDL) Model

AbstractThis is a study on interest rate volatility, a crucial form of volatility which affects local and foreign investments in the real and financial sectors. Whether to prioritize interest rate stability to prevent distortions in the market mechanism or to prioritize other macroeconomic objectives while allowing interest rates to independently react to market forces is a key question for Nigeria’s apex monetary authority. Answering this question is the primary motivation for this research. This paper is an attempt to establish the effect of interest rate volatility on economic growth and further conclude on the suitability of the financial liberalization policy in Nigeria. To reach an evidence-based conclusion, the paper analyzes the relationship between interest rate volatility and economic growth in Nigeria for the period 1981–2020. The QARDL procedure was employed to establish the short-run and long-run quantile-specific impacts of interest rate volatility. As a final step, Granger causality tests are conducted to investigate the predictive powers of the variables. It is discovered from the econometric analysis that interest rate volatility adversely affects the economic performance of Nigeria in both the short run and long run. Consequently, full liberalization is not suitable for the economy. Moreover, we find that the short-run adverse growth effect of interest rate volatility is greater when the economy is already in a relatively weak state, whereas the long-run adverse growth effect is greater when the economy is already in a relatively strong position. The findings sufficiently prove that full interest rate liberalization is not Pareto efficient for Nigeria. Hence, greater supervision of the interest rate corridor system to reduce volatility in the rates and minimize chances of persistent upward or downward bias is advised. Study limitations and directions for further research are also provided.