Implementation Of Monitoring System Research Articles

ВЛИЯНИЕ ПРОЦЕССОВ ЦИФРОВИЗАЦИИ НА ИНСТРУМЕНТЫ МОНИТОРИНГА УГРОЗ ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ

The article examines digital monitoring tools that are used to identify risks and threats to economic security. The effectiveness of existing monitoring systems is analyzed, shortcomings related to the regular modernization and improvement of cybercrime is highlighted. Examples of the implementation of analytical monitoring systems by state regulatory structures are considered and their role in the system of economic security is determined. Analysis of the effectiveness of various monitoring systems has shown that a combination of multidirectional tools allows for the best results in identifying threats to economic security.

Разработка системы мониторинга за состоянием здоровья работника в подземном руднике в режиме реального времени

Analyzes the relevance of employee health monitoring systems in an underground mine in real time and the problems associated with their development and operation. As a result of the analysis, a self-propelled machinery repair and maintenance chamber at the Kirovsky mine of JSC Apatit in the Murmansk region was selected as the object of research. When studying the camera construction technology, examples of the use of monitoring systems at each stage of construction were presented. The article emphasizes the importance and relevance of the development and implementation of employee health monitoring systems in an underground mine. This will improve the safety and efficiency of work, as well as reduce the risk of accidents and accidents.

Implementation of a Climate Policy Monitoring System in Brazil: Political Challenges for Coordination on Multilevel Governance Arrangements

Implementation of a Climate Policy Monitoring System in Brazil: Political Challenges for Coordination on Multilevel Governance Arrangements

ЗАБЕЗПЕЧЕННЯ ФІНАНСОВОЇ СТАБІЛЬНОСТІ ПІДПРИЄМСТВА ЗА УМОВ ЗМІН

The article explores the challenges of sustainable and secure economic development at the macro level, considering them as the foundation for ensuring the economic security of enterprises. Special attention is given to the directions for improving the functioning of enterprises through the utilization of contemporary methods and conditions for ensuring economic security.The article examines the challenges of sustainable and secure economic develop-ment at the macro level, considering them as the foundation for ensuring the economic security of water transport enterprises. The identified key issues in economic security and formulate macro-level development questions aimed at ensuring the stability and effectiveness of the long-term functioning of enterprises. Methods of ensuring economic security:-development and implementation of effective risk management strategies;-enhancement of financial stability of the enterprise;-implementation of modern monitoring and analysis systems for economic indicators;-tnsuring robust information security;-implementation of measures to strengthen the legal status of the enterprise;-regular training of personnel in the field of security and crisis management.Indicators of ensuring economic security. Conclusions on ensuring and managing the economic security of the enterprise in an unstable economy.The need for a systematic approach: In the conditions of an unstable economy, it is critically important to manage the economic security of the enterprise systematically, taking into account numerous external and internal fac-tors.Active risk management. Effective risk management plays a key role in ensuring economic security. Enterprises should develop and regularly update strategies for minimizing risks in accordance with changing economic conditions.Flexibility and adaptation. Flexibility in responding to changes in the economic environment and the ability to adapt become critical qualities for successful enterprises. Economic security requires constant monitoring and a quick response to new challenges.Innovation and technological upgrades. Investments in innovation and techno-logical upgrades contribute to strengthening the competitiveness of the enterprise, making it more resilient to economic shocks.

Research on the Application of Intelligent Diagnosis of Major Equipment Failures in Coal Mines

Abstract Currently, the implementation of a coal mine production safety monitoring system, capable of real-time monitoring of the safety condition of large coal mine equipment and timely dispatch management, is crucial for the efficient and safe operation of coal mine enterprises. This paper designs the coal mine major equipment failure process based on the rolling bearing’s vibration mechanism, analyzes the major equipment’s failure signal using both time domain and frequency domain analysis methods, and employs the intelligent fuzzy control method to identify the major equipment failure. We have designed and practically applied a real-time, multi-threaded, and comprehensive fault diagnosis and prediction system for coal mine major equipment, combining information from coal mine safety, production, and operation. The results show that the normal state’s time-domain amplitude approximates (-0.2, 0.2), and the time-domain waveforms all display periodic shock signals when the bearing sustains damage. The faulty vibration amplitude of the inner ring is within 0.08 ms 2 and the faulty vibration amplitude of the outer ring is within 0.44 ms 2, and the diagnostic accuracy using the method of this paper reaches 97.2%. This study demonstrates the effectiveness of remote monitoring and fault analysis of major equipment in coal mines, which effectively improves the equipment start-up rate and ensures coal mine production safety.

Design and Implementation of Environment Intelligent Monitoring System in Unattended Machine Room

Design and Implementation of Environment Intelligent Monitoring System in Unattended Machine Room

Project Schedule Delays and Associated Circular Impacts of Socio-Economic and Environmental Issues that can Affect Sustainability Footprint of Mega-Projects.

The Padma Multipurpose Bridge and the Dhaka Metro Rail mega-projects in Bangladesh have significantly influenced regional identity and culture. Both projects, with costs of US 2.8 billion respectively, experienced substantial schedule delays of up to 9 years. This study examines the socio-economic and environmental impacts of these delays, focusing on the circular effects they create. Circular effects refer to reinforcing feedback loops between socio-economic factors (such as employment, income, and displacement) and environmental factors (such as land use and resource depletion) that exacerbate delays and hinder sustainable development. A qualitative approach was employed, using a multiple case study design to ensure depth and context. Data were collected through semi-structured interviews with 20 engineers and 40 beneficiaries, selected via purposive sampling to represent diverse stakeholder perspectives. In addition, sentiment analysis was conducted on media reports to capture public perception of the project delays. The data were analyzed using thematic analysis, allowing for the identification of recurrent patterns, including the socio-economic and environmental impacts contributing to the delays. The analysis revealed seven key factors contributing to delays: inadequate project planning, frequent design changes, miscommunication among stakeholders, and lack of contractor engagement, among others. Each of these factors created a ripple effect, wherein socio-economic disruptions (such as job losses and reduced income) exacerbated environmental impacts (such as extended land use and resource depletion). This cycle, in turn, led to further project delays. Addressing these circular effects is essential for breaking the chain of delays and their compounding impacts on sustainability. Based on the findings, the study recommends the adoption of advanced technologies, the use of sustainable materials, and the implementation of robust project monitoring systems. These recommendations are grounded in the evidence collected, which showed that addressing the root causes of delays could significantly reduce both the socio-economic damage and the environmental footprint of mega-projects. By implementing these solutions, future projects can achieve more efficient timelines and promote sustainable development.

Assessing the Effects of Organizational Readiness on the Implementation of Results-Based Monitoring and Evaluation System in International NGOs: A Case of Compassion International-Uganda

Assessing the Effects of Organizational Readiness on the Implementation of Results-Based Monitoring and Evaluation System in International NGOs: A Case of Compassion International-Uganda

Exploring Materials Extrusion in 3D Printing: Real-time Monitoring, and Machine Learning for Predicting Mechanical Properties

Materials extrusion (MEX) is a prominent additive manufacturing technique due to its capability to create complicated shaped components, availability of diverse materials, user-friendly operation and affordability. Nevertheless, MEX has certain limitations, including the inherent uncertainty in the fabrication process, stemming from variations in material consistency, heat source, bed adhesion and cooling conditions. In order to enhance process consistency, there arises a compulsive need for the implementation of in-process monitoring and control systems. This paper provides a brief overview of monitoring applications within the MEX method and explores the alternative sensors that can be effectively employed for real-time process monitoring. Additionally, the paper covers the utilization of datasets derived from the MEX process to develop a machine learning-based model, aimed at predicting the mechanical properties of biological scaffolds. The Gradient Boosting Regressor algorithm was employed for the prediction of compressive strength in biological scaffolds, and the proposed model achieved a remarkable accuracy rate of 99%.

Evaluating policies and regulations used to control corruption among accounting officers in the public sector of South Africa: a systematic literature review.

Corruption, a global phenomenon, affects countries worldwide, transcending geographic and political boundaries, and continues to escalate, partly due to the inefficiency of financial and legal institutions and lack of enforcement. This has significant implications for Africa, hindering democracy, development, and poverty alleviation efforts. Defined as the intentional misuse of official authority for personal benefit, corruption is often fueled by public sector financial managers or accounting officers embezzling funds. The increasing pressure on these officers to justify public fund usage, coupled with expectations for effective service delivery, may contribute to corrupt practices. This article presents a systematic literature review focused on evaluating policies and regulations to control corruption among accounting officers in South Africa's public sector. The public sector in South Africa has recently seen a rise in corruption cases, with numerous incidents involving corrupt government officers, including accounting officers, gaining media attention. This situation prompted the need for the study, which systematically reviewed existing literature to identify gaps and weaknesses in current policies and regulations. The findings revealed non-compliance with anti- corruption policies and regulations, along with a lack of accountability among accounting officers. Additionally, the study observed that punishment measures for those implicated in misusing public funds are inconsistently implemented, highlighting a significant gap between policy and practice. These findings are critical for government policymakers, as they reveal areas needing improvement in anti-corruption policies and regulations. Issues identified include unqualified officers, poor delegation, embezzlement, and non-compliance. The study recommends that the government consistently apply strict measures against officials guilty of corruption, holding them accountable for their actions. It also advocates for the implementation of effective monitoring and evaluation systems to enforce anti-corruption policies and bridge the policy-practice gap. Emphasizing that good planning is as crucial as the implementation structures themselves, the study suggests that effective functioning requires both elements to work in tandem.

Digitalisation: prerequisites and challenges in modern conditions

Digital transformation is becoming an integral part of modern business, opening up new opportunities, but also involving risks. This article presents a study of the risks of digital transformation, focusing on identifying key aspects and recommendations for effective management. The authors analysed cybersecurity, data management, changes in corporate culture, staff training and partnership development in the context of digital transformation. The findings revealed the need for an integrated approach to risk management that includes strategic planning, responding to changes in the environment, and ongoing staff training. The recommendations presented offer organisations the tools and approaches to successfully overcome the challenges of digital transformation and ensure sustainable growth in the digital age. The generalised approach to risk management presented in the article facilitates effective adaptation and innovative development in today's digital environment. In addition to analysing risks, the article also discusses the importance of strategic planning and developing flexible strategies to respond to changes in the digital environment. Particular attention is paid to managing change within an organisation and developing an innovation culture that facilitates successful adaptation to new technologies. The authors emphasise the importance of continuous training and development of employees so that they can effectively use digital tools and actively participate in the transformation process. In addition, the article discusses the implementation of effective risk monitoring and assessment systems that allow for the timely identification and management of potential threats.

ЗАБЕЗПЕЧЕННЯ ФІНАНСОВОЇ СТАБІЛЬНОСТІ ПІДПРИЄМСТВА ЗА УМОВ ЗМІН

The article explores the challenges of sustainable and secure economic development at the macro level, considering them as the foundation for ensuring the economic security of enterprises. Special attention is given to the directions for improving the functioning of enterprises through the utilization of contemporary methods and conditions for ensuring economic security.The article examines the challenges of sustainable and secure economic develop-ment at the macro level, considering them as the foundation for ensuring the economic security of water transport enterprises. The identified key issues in economic security and formulate macro-level development questions aimed at ensuring the stability and effectiveness of the long-term functioning of enterprises. Methods of ensuring economic security:-development and implementation of effective risk management strategies;-enhancement of financial stability of the enterprise;-implementation of modern monitoring and analysis systems for economic indicators;-tnsuring robust information security;-implementation of measures to strengthen the legal status of the enterprise;-regular training of personnel in the field of security and crisis management.Indicators of ensuring economic security. Conclusions on ensuring and managing the economic security of the enterprise in an unstable economy.The need for a systematic approach: In the conditions of an unstable economy, it is critically important to manage the economic security of the enterprise systematically, taking into account numerous external and internal fac-tors.Active risk management. Effective risk management plays a key role in ensuring economic security. Enterprises should develop and regularly update strategies for minimizing risks in accordance with changing economic conditions.Flexibility and adaptation. Flexibility in responding to changes in the economic environment and the ability to adapt become critical qualities for successful enterprises. Economic security requires constant monitoring and a quick response to new challenges.Innovation and technological upgrades. Investments in innovation and techno-logical upgrades contribute to strengthening the competitiveness of the enterprise, making it more resilient to economic shocks.

Monitoring of historical monuments: 5 years dynamic monitoring of the Milan Cathedral

Although increasing attention has been recently given to dynamic monitoring of Civil Engineering structures, practical applications on Heritage structures are still not common. Since October 2018, a dynamic monitoring system has been active in the Milan Cathedral, with the main objective of continuously extracting features that are related to the current structural condition of the monument. Following a brief overview of the historical background of the monument and a description of the implemented monitoring system, selected results from the monitoring over 5 years are summarized in the paper. The statistical pattern recognition framework has been applied to the dynamic responses continuously collected in the historical building.

Research in Electronic Multi-Sensor Accuracy in the Implementation of Soil Fertility Monitoring System Using LoRA

The use of electronic sensors to track the nutrients in the soil is an interesting tool for farmers. This has led to the sale of many different kinds of electronic sensors with different levels of accuracy. The accuracy of this electronic sensor was figured out by comparing the results of the sensor's measurements with the results of lab tests done in different ways. This study compares the accuracy of electronic devices used to measure soil nutrients like nitrogen, phosphorus, potassium, electrical conductivity, water pH, and humidity to measurements made in the lab using the ICP-OES (Inductively coupled plasma-optical emission spectroscopy) method. We used three electronic sensors and a transmission system based on LoRA (Long Range) to measure the nutrients in the soil and put the results on our website. The similarities between electronic sensors and laboratory test parameters include the standard deviation, accuracy value, and correlation test between sensors and from the sensors to laboratory test results. The standard deviation parameter test showed a big value between the electronic sensor and the lab test results. However, none of the three used electronic sensors had a standard deviation number that differed greatly from the others. Except for the pH value of the soil, the electronic sensor's accuracy tests for the other five parameters were not very good compared to the lab tests. Also, the sensor correlation test showed a high correlation, while the correlation test between sensor data and lab test results showed a low correlation.

Research in Electronic Multi-Sensor Accuracy in the Implementation of Soil Fertility Monitoring System Using LoRA

The use of electronic sensors to track the nutrients in the soil is an interesting tool for farmers. This has led to the sale of many different kinds of electronic sensors with different levels of accuracy. The accuracy of this electronic sensor was figured out by comparing the results of the sensor's measurements with the results of lab tests done in different ways. This study compares the accuracy of electronic devices used to measure soil nutrients like nitrogen, phosphorus, potassium, electrical conductivity, water pH, and humidity to measurements made in the lab using the ICP-OES (Inductively coupled plasma-optical emission spectroscopy) method. We used three electronic sensors and a transmission system based on LoRA (Long Range) to measure the nutrients in the soil and put the results on our website. The similarities between electronic sensors and laboratory test parameters include the standard deviation, accuracy value, and correlation test between sensors and from the sensors to laboratory test results. The standard deviation parameter test showed a big value between the electronic sensor and the lab test results. However, none of the three used electronic sensors had a standard deviation number that differed greatly from the others. Except for the pH value of the soil, the electronic sensor's accuracy tests for the other five parameters were not very good compared to the lab tests. Also, the sensor correlation test showed a high correlation, while the correlation test between sensor data and lab test results showed a low correlation.

EVALUASI UNJUK KERJA IOT, SISTEM KONTROL DAN MONITORING SUHU DAN KELEMBAPAN PADA RUANG FREEZER MENGGUNAKAN APLIKASI BLYNK (STUDI KASUS PADA PT. AEROFOOD ACS DENPASAR)

The implementation of temperature control and monitoring system in the freezer room at PT Aero Food ACS company plays a crucial role in maintaining the quality of stored food raw materials. Therefore, an appropriate and efficient control system is required to preserve the quality of stored meat. To address this, a system was developed using IoT-based Blynk application for control and monitoring, utilizing WEMOS as the microcontroller and DHT22 as the sensor. Before the system is deployed in the company, a performance test and evaluation are necessary to ensure that the system functions correctly and complies with the company's SOP. During the testing phase, the control system operated well and was in accordance with the company's SOP.

Design and Implementation of Intelligent Fire Monitoring System Based on Multi-Sensor Data Fusion

Abstract To reduce the losses caused by fire, this paper proposes an intelligent fire monitoring system based on multi-sensor data fusion. Through the design of the temperature, smoke and flame sensors, based on the weighted least squares WLS and improved fuzzy support degree of similar sensors and dissimilar sensors data fusion, respectively, in the ZigBee wireless network based on the design of the fire remote monitoring and control alarm for monitoring, and add the local storage and emergency module. In addition, whether the router nodes work on the ZigBee wireless network during the fire test depends on multi-sensor data fusion. The test shows that the node communication distance is extended and can reach the acceptable requirements in the range of 70m, the highest probability of fire occurrence is 0.92, the lowest probability is 0.14, the overall probability of occurrence is in the range of 0.4 to 0.6, and the error between the predicted value of the probability of occurrence of the fire and the expected value is within ±0.05.

Multi-level territorial monitoring in Switzerland as a case in federalism and multi-polarity

In Switzerland, spatial observation and monitoring systems are very much defined and implemented at the various levels of government. This takes into account the fact that the main challenges and issues differ greatly not only between the levels of government but also regionally. The exchange processes between the levels of state, as well as between the various actors at the respective levels are interwoven in many ways, and this peculiarity of political work is also reflected in the implementation of indicator and monitoring systems. Although strongly characterised by the subsidiarity and independence of the respective level, a lively and well-balanced interaction between different actors can also be observed. This results in a somewhat multipolar picture within and across the levels, with a strong focus on cross-sectoral coordination and cooperation. The main goal of this article is to give an insight into and to deepen the understanding of the main characteristics and processes, dependencies, and interactions in the context of territorial monitoring in Switzerland. The insight is provided from a rather subjective perspective and based on a long-time institutional experience in this field.

Damage Detection and Localization at the Jacket Support of an Offshore Wind Turbine Using Transformer Models

Early detection of damage in the support structure (submerged part) of an offshore wind turbine is crucial as it can help to prevent emergency shutdowns and extend the lifespan of the turbine. To this end, a promising proof-of-concept is stated, based on a transformer network, for the detection and localization of damage at the jacket-type support of an offshore wind turbine. To the best of the authors’ knowledge, this is the first time transformer-based models have been used for offshore wind turbine structural health monitoring. The proposed strategy employs a transformer-based framework for learning multivariate time series representation. The framework is based on the transformer architecture, which is a neural network architecture that has been shown to be highly effective for natural language processing tasks. A down-scaled laboratory model of an offshore wind turbine that simulates the different regions of operation of the wind turbine is employed to develop and validate the proposed methodology. The vibration signals collected from 8 accelerometers are used to analyze the dynamic behavior of the structure. The results obtained show a significant improvement compared to other approaches previously proposed in the literature. In particular, the stated methodology achieves an accuracy of 99.96% with an average training time of only 6.13 minutes due to the high parallelizability of the transformer network. In fact, as it is computationally highly efficient, it has the potential to be a useful tool for implementation in real-time monitoring systems.

The Design of a Location Monitoring System for a Fleet of Electric Scooters

The development of geolocation systems( geostationary satellite networks), as well as devices capable of receiving signals and processing the data coming from them, makes possible the implementation of location monitoring systems for various purposes. Whether it's about security or optimizing travel times or routes, these systems are based on information in the form of global coordinates (latitude and longitude) from satellite systems or cell towers. The design of such a system is presented in this paper, being a good guide in the design and implementation of such a system, regardless of the application. Both, the hardware part (the designed equipment) and the software part (the backend component running on a virtual private server, as well as a mobile application) are presented in this paper. In the development of the system, was used only location provided by information from satellites, without using GSM cell signals. The entire system has been successfully tested in different GSM signal conditions as well as various locations to see the influence of environmental parameters on performance. The system described in the paper can be the starting point for the development of other systems for a variety of applications that require the management of the location of some devices.