Computer Monitoring System Research Articles

Application of a data stratification approach in computer medical monitoring systems

The research object is the processes occurring in the data stratification subsystem in the medical monitoring computer system, which is part of the decision support system. Such a subsystem aims to solve data analysis and processing problems in the medical monitoring system. Among them, the problems of anomaly detection, data marking, state determination, selection of the most informative variables, and justification of decision-making are selected for solving. The paper proposes the structure and implementation of the data stratification subsystem in the decision support system. The subsystem contains modules for anomaly detection and an autoencoder, a clustering module using an advanced multi-agent clustering method, and a state detection module with a modified neural network training procedure. Modules of the stratification subsystem have been tested using diabetes monitoring data. The results showed that the clustering module provides 25.7 % lower accuracy than the achieved neural network. The accuracy difference is explained by the complexity of the data and the lack of adaptability of the proposed method to solving such problems. It is shown that the method of determining the overall informativeness of variables covers 90 % informativeness with 10 variables, comparable to the variability data. In general, the flexible nature of the proposed stratification subsystem allows for solving the problems. The proposed stratification subsystem offers a robust solution for improving treatment strategies and decision-making in computer medical monitoring systems. Its versatility allows it to be used in any system where decision support is needed, providing valuable information about informative variables and decision-making features for clinicians and researchers

Development of the project “Federal system for student nutrition monitoring” in 2021–2023

The Federal Computer System for Student Nutrition Monitoring of the Ministry of Education of the Russian Federation aggregates and analyzes information on the actual nutrition in all schools in the country. A unifi ed format for posting menus on school website, their regular automatic reading and analyzing for compliance with consumption standards makes it possible to identify the compliance of actual menus with the planned standard ones. Information is transmitted to regional education departments and the Ministry of Education of the Russian Federation. The website мониторингпитание.рф is used to inform school heads and parents. The database is also used for annual nutrition assessments through questionnaires among schoolchildren and their parents. In 2023, nutrition was rated by 1.5 million participants.

Optimization Management of Storage Location in Stereoscopic Warehouse by Integrating Genetic Algorithm and Particle Swarm Optimization Algorithm

The management of a three‐dimensional warehouse is a key part of the upper computer monitoring and management system for three‐dimensional warehouses. Currently, there are problems such as unreasonable planning and inability to respond to real‐time demands. Therefore, further improvement is needed to optimize the management of storage locations. The main purpose of the research is to achieve better storage stability and improve storage and retrieval efficiency. First, the study constructed a multiobjective mathematical model based on the weight, frequency of use, and category of the goods. Three objective functions were constructed. Therefore, the operational efficiency of the stacker crane and the turnover rate of items were improved. Meanwhile, the overall stability of the shelves was ensured, and the management efficiency of the warehouse was improved. At the same time, the study introduced the GA‐PSO algorithm to solve the mathematical model and optimize the goods location planning. These results confirmed that the proposed algorithm had significantly lower iteration times than traditional particle swarm optimization in different warehouse sizes and types of goods. The iteration required to reach the optimal value in Situation 1 was only 80, which was 90 fewer than PSO. Meanwhile, in Situation 2, the optimization results of the proposed algorithm in four objective functions were as high as 42.94%, 26.03%, 30.72%, and 46.15%, respectively, which increased by 1.20%, 8.04%, 5.61%, and 7.38% compared to PSO. The proposed algorithm can achieve more efficient and intelligent warehouse management, improving the efficiency and accuracy of logistics operations. It is significant for logistics industry development and enterprise competitiveness enhancement.

Implementation of Decision-Making Systems Based on a Typical Decisive Element

As large amounts of data are received and accumulated, the need to create automated and automatic decision-making systems for a wide variety of tasks becomes more and more urgent. In the technical field, one of them is technical diagnostics, and in medicine, diagnostics of the human condition. Currently, dozens of computer systems for continuous vibration control and monitoring of complex rotary-type units are in commercial operation, which form time trends for 14 vibration parameters with a time step of 1–8 s for each control point at the operated facility. The functionality of a universal decision-making module is proposed, the input data of which are the parameters and characteristics of the observed object, with the required resulting output decision.

Analysis of Methods for Assessing and Managing Risks at Hazardous Industrial Sites

Currently, in the Republic of Kazakhstan, some enterprises have implemented various methods of analysis and management of industrial safety. At the same time, it seems relevant to introduce developments that allow to automaze the process of data processing and conducting a comprehensive analysis of the state of industrial safety at enterprises. The purpose of the study is a comparative analysis of domestic, foreign and international methods for assessing and managing risks at hazardous industrial sites. The authors carried out a comparative analysis of risk assessment and management methods, both universal and developed for certain industries. These methods were researched according to 26 main elements characterizing the effectiveness of the industrial safety management system at the enterprise. The analysis showed that one of the best results was achieved by the development of Kazakh scientists «Computer monitoring system for hazardous industrial sites of the Republic of Kazakhstan». This system allows users to carry out verification and corrective actions in order to increase the responsiveness to constantly changing industrial conditions, which will significantly increase labor safety

A BCI framework for smart home automation using EEG signal

Since the first recording in 1924, modern developments in technology have enabled human electroencephalogram (EEG) acquisition as a non-invasive process, enabling a multitude of opportunities to learn about human brain dynamics. With the capability to tap into localized brain dynamics, it is possible to correlate event-related potentials such as meditation, concentration, and motor control with localized brain activities, opening up a broad spectrum for exploration and implementation in prosthetic, control, and brain computer interfaces. In this work, an attempt has been made to explore human emotions and other intelligent states that can be interpreted to automate and control electrical appliances for differently abled people. A smart home automation model has been designed and implemented using a Think Gear Application-specific integrated circuit (ASIC) Module (TGAM) EEG sensor module integrated with a Bluetooth module, which serves as the core for control applications. A combination of external triggers and brain states are interpreted and forwarded to gain control of the connected appliances via a local server over the internet. Equipped with internet connectivity and Internet of Things (IoT), the system also facilitates long-distance communication and control, which can be easily translated to industrial control and automation applications. Based on a single-channel analog EEG signal acquisition module, this study details the development of a Brain Computer Interface (BCI) control and monitoring system for smart home automation with blink and attention features. The designed BCI system has a large bandwidth of 400 Hz, an easy setup, Morphological Component Analysis (MCA) based blink detection, monitoring, control of devices, and high accuracy at a low cost. Each subject completed three trials separated by one minute. The smart devices underwent testing in two states, namely on and off. The response time and accuracy of the system were recorded for each trial. The average system response time for the devices was determined to be 17.13 sec for switching ON and 20.66 sec for switching OFF, with an accuracy of 98.73% and 95.75% for ON and OFF states respectively.

Measuring the Variability and Humidity of Apis mellifera Honeybee Hives by the Effect of some Ventilation and Indoor Fires During the Autumn Season Using a New System

This study was conducted in the Al-Hadid-Baquba/Diyala governorate during the months of September, October and November of 2021 to increase ventilation and reduce the humidity inside the bee colonies by the use of ventilation holes and the addition of waterers to increase the thermal balance inside the hive. 24 Beehives were used in the experiment and divided into eight treatments. T1 control treatment (beehives with no ventilation holes and without waterers ), T2: Beehives containing waterers, T3, T4 and T5 Beehives contain one, two, and three ventilation holes without waterers; T6, T7, and T8, contain one, two, and three ventilation holes with waterers, respectively. The statistical data obtained from the computer monitoring system showed that the treatments led to a highly significant decrease (P≤0.01) in the temperature and relative humidity recorded inside the beehives. The average temperature during The autumn was 37.50, 36.20, 34.44, 33.90, 33.45, 33.33, 33.49 and 33.96 ° C, while the humidity was 65.59, 67.96, 56.01, 56.23, 61.39, 52.39, 53.18 and 53.96% in treatments T1, T2, T3, T4, T6, T7 and T8 respectively.

Design of Equipment Fault Diagnosis System Based on Audio Analysis Technology

In the aspect of state monitoring of hydropower unit, the main technical means is to collect and monitor the data on site by deploying various sensors and cameras in the unit and its affiliated units, relying on computer monitoring system and unit state monitoring system. However, it is difficult to intuitively feel the audio characteristics of the unit when it is running. Therefore, an equipment fault diagnosis system based on audio analysis technology is proposed, which makes use of audio analysis technology to analyze and process the on-site sound online, and provides a new auxiliary monitoring means for the equipment running status. Furthermore, the effectiveness of the system is verified by the operation of a power plant.

Fronesis: Digital Forensics-Based Early Detection of Ongoing Cyber-Attacks

Traditional attack detection approaches utilize predefined databases of known signatures about already-seen tools and malicious activities observed in past cyber-attacks to detect future attacks. More sophisticated approaches apply machine learning to detect abnormal behavior. Nevertheless, a growing number of successful attacks and the increasing ingenuity of attackers prove that these approaches are insufficient. This paper introduces an approach for digital forensics-based early detection of ongoing cyber-attacks called Fronesis. The approach combines ontological reasoning with the MITRE ATT&CK framework, the Cyber Kill Chain model, and the digital artifacts acquired continuously from the monitored computer system. Fronesis examines the collected digital artifacts by applying rule-based reasoning on the Fronesis cyber-attack detection ontology to identify traces of adversarial techniques. The identified techniques are correlated to tactics, which are then mapped to corresponding phases of the Cyber Kill Chain model, resulting in the detection of an ongoing cyber-attack. Finally, the proposed approach is demonstrated through an email phishing attack scenario.

Primena termovizije i računarskih sistema za monitoring vitalnih sistema u elektrotehnici, mašinstvu i građevinarstvu

The paper presents the application of computer systems for monitoring in the fields of electrotehnics, mechanical engineering, and construction. It outlines the basic principles of thermal radiation from objects and describes the operation and structure of a thermal imaging camera, providing practical examples in the mentioned fields. The document showcases examples of in-formation systems for monitoring, along with thermograms obtained through this method.

Retracted: The Application of a Computer Monitoring System Using IoT Technology.

[This retracts the article DOI: 10.1155/2022/4033886.].

Computer Monitoring System Based on 5G Internet of Things in Service Period of Tunnel Lining

Computer Monitoring System Based on 5G Internet of Things in Service Period of Tunnel Lining

Screening of Anemia in Patients with Coronary Heart Disease in Outpatient Practice Using a Computer Monitoring System

The aim of this study was to assess the prevalence, structure, and influence of anemic syndrome on the main health indicators of patients with coronary heart disease (CHD), including the main QOL parameters. Methods and Results: The study included 1210 patients (309 men and 901 women) with an average age of 67.57±9.35 years who were registered at the dispensary with CHD (angina pectoris CCSA classes II-IV) in 2 Regional Hospitals. With the help of the computer program “Monitoring system for patients with anemia syndrome,” medical records from 2 randomly selected primary care areas were analyzed. The data directly related to anemia, comorbid pathology, and previous treatment formed the main part of the statistical data. The QOL was evaluated using the 36-Item Short Form Survey (SF-36) questionnaire. The FACT-An questionnaire was used to account for the characteristic symptoms, and their severity, accompanying anemia. Our findings indicate the presence of anemia in 500(41.3%) patients (355/71% women and 145/29% men). The average age of the patients with diagnosed anemia was 65.34±6.37 years in men and 63.49±7.05 years in women. Anemia of mild severity was observed in 410(82%) patients, moderate severity in 75(15%) patients, and severe anemia in 15(3%) patients. IDA was detected in 467(93.4%) cases and B12-deficiency anemia in 33(6.6%) cases. We found a negative correlation between the blood iron level and age (r=-0.56, P<0.05), which can indirectly indicate the progression of latent iron deficiency with age in CHD patients. All 500 CHD patients with anemia were included in Group 1. Group 2 included 710 CHD patients without anemia. In Groups 1 and 2, angina severity according to CCSA classification was as follows: CCSA class II - 186(37.2%) and 456(64.2%) cases (P=0.000), CCSA class III – 248(49.6%) and 196(27.6%) cases (P=0.000), and CCSA class IV - 66(13.2%) and 58(8.2%) cases (P=0.005), respectively. Group 1 patients, in contrast to Group 2 patients, had the following characteristic clinical features: palpitation (48.2% vs. 35.0%, P=0.000), higher HR (81±9.5 bpm vs. 71.8±8.7 bpm, P=0.000) and respiratory rate (18.9±1.1 vs 18.3±1.2 per minute, P=0.000). The assessment of the impact of anemia on QOL by FACT-An revealed a statistically lower score in Group 1 than in Group 2 (32.0±5.7 vs. 44.0±6.5, P=0.000). We found a positive correlation between the Hb level and the average FACT-An score (r=0.54, P<0.05) Patients in Group 1 demonstrated a low level of QOL in the physical and mental domains, according to SF-36, in comparison with Group 2. Correlation analysis revealed a direct relationship between the Hb level and the average score of the PF (physical functioning) scale (r=0.52, P<0.05)) and PCS (physical component summary) (r=0.38, P<0.05)) of the SF-36 questionnaire. The observed high incidence of anemic syndrome in CHD patients with angina pectoris (CCSA class II-IV) requires special attention due to the high impact on the QOL of patients and aggravation of the course of the underlying disease.

The Application of a Computer Monitoring System Using IoT Technology.

Through the information exchange of the Internet of Things, resources in multiple fields can be integrated to provide users with more comprehensive, diverse, and high-quality services. The computer monitoring system can effectively improve the intelligence and networking of the office and is widely used in many industries. The application of Internet of Things technology can effectively improve the intelligence and networking of computer monitoring systems. The Internet of Things technology can realize the interaction between things and people, help the computer monitoring system to obtain the required information, and truly realize comprehensive monitoring. Based on this, this paper first introduces the basic technology of the Internet of Things technology and analyzes the main points of the computer monitoring technology based on the Internet of Things at this stage and then takes a computer monitoring system as the research object, and further analyzes the computer monitoring system based on the Internet of Things technology to help relevant personnel better apply IoT technology to computer monitoring systems.

Research on Monitoring Data Security Sharing Method for Hydropower Station Operation and Maintenance

The computer monitoring system centrally and uniformly manages the hydropower stations in the basin, which has high operation efficiency. The current data security sharing methods can not solve the multi-party trust problems such as data ownership and data security. In this regard, a monitoring data security sharing method for hydropower station operation and maintenance is proposed. The monitoring data of hydropower station comes from multiple independent operation systems developed by different suppliers according to different application requirements. The multi-source data are integrated and processed to meet the interactive needs of users. User permission has the characteristics of dynamic change, which can identify the permission attributes. Create a trusted container based on the user ID, locate the monitoring data, and trace the source in data sharing and storage. The access policy is formulated by the data user and bound with the private key, while the data is given an attribute set during encryption. Each data user has a corresponding access policy and a private key corresponding to the access policy, so as to realize the security sharing of monitoring data. The test results show that the design method in this paper can effectively reduce the communication overhead and storage overhead, and has good computing performance.

Control Theory Forecasts of Optimal Training Dosage to Facilitate Children's Arithmetic Learning in a Digital Educational Application.

Education can be viewed as a control theory problem in which students seek ongoing exogenous input-either through traditional classroom teaching or other alternative training resources-to minimize the discrepancies between their actual and target (reference) performance levels. Using illustrative data from [Formula: see text] Dutch elementary school students as measured using the Math Garden, a web-based computer adaptive practice and monitoring system, we simulate and evaluate the outcomes of using off-line and finite memory linear quadratic controllers with constraintsto forecast students' optimal training durations. By integrating population standards with each student's own latent change information, we demonstrate that adoption of the control theory-guided, person- and time-specific training dosages could yield increased training benefits at reduced costs compared to students' actual observed training durations, and a fixed-duration training scheme. The control theory approach also outperforms a linear scheme that provides training recommendations based on observed scores under noisy and the presence of missing data. Design-related issues such as ways to determine the penalty cost of input administration and the size of the control horizon window are addressed through a series of illustrative and empirically (Math Garden) motivated simulations.

Application research on network structure of computer monitoring system for medium and small hydropower stations

This paper introduces several network structures that are often used in computer monitoring systems of small and medium-sized hydropower stations. At the same time, it analyzes their characteristics and existing problems, and discusses the need for system transformation based on the application of existing computer monitoring systems.It has positive significance for the design and renovation of small and medium-sized hydropower stations.

A Datum Schemes Based on TOC Monitoring System

Abstract Using the giant parallelism of photons to develop a new type of computer with more processor bits and data, the ternary optical computer, with the birth of the ternary optical computer SD 16 physical machine, the team built a monitoring system structure for task management, It is mainly used to deal with various complex data problems and provide parallel services for computing requests of multiple users. The storage of data in the monitoring system has also become a crucial issue. Based on the existing achievements of the team, this paper designs a data storage scheme for the management software of the ternary optical computer monitoring system, and finally summarizes and looks forward to the next research direction of the ternary optical computer data storage.

Regina computer system for intelligent monitoring, diagnostics, and management of railway power supply systems

Regina computer system for intelligent monitoring, diagnostics, and management of railway power supply systems

Impact of Technology on Agriculture Workers in Tirunelveli District

The main purpose of this paper is to introduce the technology impact of agriculture workers in Tirunelveli District. In the last century, the basic agriculture technology like machines has changed a little. Though the modern technology, planters and harvesters do a better job or are slightly tweaked from their predecessors. However, the modern technology is changing the way that humans operate the machines, GPS locators, as computer monitoring systems and self-steer programs allow the most advanced tractors and implements to be more precise and less wasteful in the use of fuel, fertilizer or seed. In future, there may be mass production of driverless tractors and other agriculture machinery which use electronic sensors and GPS maps.