Monitoring Software Research Articles

ОСНОВНІ РЕЖИМИ РОБОТИ І ГРАФІЧНИЙ ІНТЕРФЕЙС КОРИСТУВАЧА КОМПЛЕКСУ ДЛЯ ЕКСПЕРИМЕНТАЛЬНИХ ДОСЛІДЖЕНЬ МАГНІТНИХ ПОЛІВ І ДІАГНОСТУВАННЯ ЕЛЕКТРОЕНЕРГЕТИЧНОГО ОБЛАДНАННЯ

Hardware and software monitoring complex is designed to study the relationship between changes in the patterns of the magnetic field intensity distribution with power equipment failures. In experimental studies with predetermined techni-cal faults artificially introduced into the object the complex will provide useful and reliable results by registering changes in the magnetic field induction in the spatial, temporal and frequency domains. The choice and flexible adjust-ment of data collection tools by the researcher will ensure the use of the most appropriate method for measuring, con-verting and displaying information about the investigated faults. The article presents the main operating modes and graphical user interfaces of a personal computer and a mobile data acquisition system that jointly convert, store, ana-lyze and display measurement information received from various magnetic sensors. The generalized functional specifi-cation of the complex software, the design of the graphical user interface (GUI) as parts of the real-time operating sys-tem (RTOS) of the mobile data acquisition system (DAQ) and PC software will also be used in the development of prob-lem-oriented computer diagnostic systems for electric power equipment. Ref. 12, fig. 3.

Structural deformation and clamping force monitoring of reconfigurable tooling motivated by strain data in aircraft assembly

The quality of aircraft assembly is mainly guaranteed by toolings which are vital to the geometrical accuracy and service performance of aviation products. In this research, a real-time monitoring system that determines the structural deformation and clamping force of reconfigurable toolings using strain data is developed to perceive the service state of the toolings. By laying fiber Bragg gratings on positioning beam and baseplate of the reconfigurable tooling, strain data of the tooling structures are gauged and transferred to curvatures. The beam and baseplate are modeled as one and two-dimensional objects respectively and shape reconstruction algorithms are established to obtain their deflection curve and surface using curvature information. Distribution of fibers is optimized to minimize the conversion error from strain to curvature. An estimation that reveals the mathematical relationship between the shape reconstruction error and measurement interval is implemented, and a mapping model from strains to clamping force of the beam is established. These algorithms are integrated into the self-developed monitoring software and undergo simulating and experimental tests. The maximum relative errors of deformation and force are 4.53% and 4.12% respectively in simulation, and 9.21% and 7.29% individually in experiment, which validates the efficiencies of the method. Tests of the monitoring system suggest that it can provide a timely and accurate sensing of the deformation and force of the tooling.

Research on Detection System of Intelligent Computer Optimization Algorithm for Concrete Mix Ratio Based on Big Data

PLC is used to complete the control function of the concrete proportioning system. The MCGS (Configuration Software Monitor and Control System) is used to realize the real-time monitoring, data management and fault warning of the whole monitoring system. The material feed and PLC control process in the feed system are emphatically introduced. A concrete proportioning design method based on multiple parameters is proposed. The nonlinear multi-objective optimization model of concrete mix ratio was established by stepwise regression analysis and complex optimization method. The problems of narrow range of variables and single form of objective and constraint in traditional linear optimization methods are solved, which makes the selection of optimal index simpler and more flexible. Through the calculation of examples, it is clear that this method can obtain the mixture that meets the use conditions, and can greatly save the experimental work and construction cost.

Estimating the as-built thermal performance of dwellings using simulated on-board data: From ideal to limited monitoring

Advancement in non-intrusive monitoring of energy usage in households presents an ideal opportunity to get insight into the as-built performance of buildings and assess performance indicators such as the Heat Loss Coefficient (HLC) of the building fabric. The availability of in-use monitored data contributes to bridging the energy performance gap while avoiding costly and exhaustive dedicated measurement campaigns. Methodologies to assess the building performance by combining on-board monitoring and statistical data-driven models are widely accepted. However, their unsupervised and automated applicability on a large scale, with limited data and no insight into the building characteristics and occupants’ behaviour still needs to be investigated. Therefore, this work aims at assessing the reliability and performance of statistical black-box AutoRegressive with eXogenous input (ARX) models on artificial measurement campaigns starting from idealistic setups and progressing towards limited ones. In this investigation, the uncertainty in the estimate inherited from inputs, such as different heat sources or weather data, and their post-processing is combined with the uncertainty originating from different monitoring packages, which results in a thorough overview of the statistical modelling limitations. Results show that disaggregation of the final heating usage poses a major challenge. In cases where gross gas usage is measured, and the system efficiency and domestic hot water consumption are not taken into account, the HLC can deviate by 49% in low-performing houses and by 106% in well-performing houses. However, by applying data pre-processing methods the discrepancy can be lowered to 8% and 23% respectively, but with high uncertainty. On the other hand, the installation of an additional heat meter could yield deviations from the target of 26% for low-performing and 11% for well-performing dwellings without data manipulation, both with low uncertainties.

Recent advances on pH-responsive polymers integrated with nature colorants: from preparation to applications

This review covers the progress in recent years on pH-responsive polymers integrated with natural colorants. The classification of various natural colorants, including anthocyanin, curcumin, and alizarin, and the pigments’ structural changes at different pH are introduced. Subsequently, the latest research in substrates for immobilizing natural colorants is discussed. Moreover, their applications on wound dressing for bacterial infections monitoring, smart package for food quality monitoring, and textile dyeing, are outlined. Finally, this study was summarized by emphasizing the current challenges and future opportunities in the field of pH-responsive polymers.

Functional System for Temperature and Relative Air Humidity Software Monitoring in Interlayer Clothing Space

Introduction. The study of the parameters of the clothing space is extremely important in the development of seasonal clothing for the military, police, athletes, etc.Problem Statement. The use of “smart” textiles capable of responding to changes in the environment, adapting to it by integrating functional capabilities into the textile structure, deserves attention. Person’s feeling and emotional response are accompanied by electrical, thermal, chemical or other changes in the human body, which can be recorded by electronic devices and used to monitor the comfort of clothing.Purpose. The purpose is to develop a functional system for monitoring the interlayer space of clothing given the temperature and relative humidity and for creating a prototype remote control system for clothing.Materials and Methods. Sensors (a microcontroller with a battery, radio modules, temperature and relative humidity sensors) placed in the knitted structure of the T-shirt, on certain parts of the human body have been used. Atmega328 microcontroller equipped with 18650 batteries has been employed to detect the temperature and the relative humidity in the interlayer space of the clothing with the help of DS18B20 temperature sensors and DHT22 humidity sensors. The HC-12 radio module has been used for transmitting the data from the microcontroller to the target device. The data have been processed by a special program with the use of the Serial, NumPy, Matplotlib, and Drawnow libraries.Results. The system for remotely monitoring changes in the internal microclimate within the airspace between layers of diff erent clothing materials has been developed. The relationship between the average temperature and the relative humidity in the interlayer clothing space has been determined and are equal to ~26 0C and 29.8%, respectively, after exposure to an outdoor temperature of –10 0C.Conclusions. The obtained results can be used to improve existing and to develop new items of clothing with increased comfort.

ПИТАННЯ ФОРМУВАННЯ МУЛЬТИ-НЕЧІТКИХ МОДЕЛЕЙ І ПРОЦЕДУР СИСТЕМ МОНІТОРИНГУ ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ

The article details issues related to the features, tasks and the development of fuzzy models and intelligent procedures designed for software monitoring systems. At the same time, improved forms of fuzzy control models, called multi-fuzzy, are proposed. They generalize the methods of fuzzy modeling in the structure of rules and procedures by representing the dependence of the rules in the knowledge base, establishing various models of input data and applying various fuzzy inference methods for individual knowledge base rules.

Experimental Analysis of Twin Screw Compressor's Energetic Efficiency Depending on Volume Ratio

The current paper presents the results of the experimental analysis to assess and optimize the twin-screw compressor’s efficiency by varying the volume ratio. The experimental tests are conducted on the compressor's test bench, with a dedicated automation system inside the control console. The control and monitoring software allows parameter recording for subsequent visualization, data curation, and post-processing. The evaluation of screw compressor's performance requires a simultaneous analysis of the thermodynamic and flow processes, both of which depend on the compressor’s geometry. The obtained volumetric and adiabatic efficiencies are good, with values over 0.88 and 0.69, respectively.

Tools for monitoring software quality in information systems development and maintenance: five key challenges and a design proposal

As software grows in size and complexity, organizations increasingly apply tools to automatically assess software quality of information systems during development and maintenance. Software quality assessment tools (SWQAT) promise fast and actionable insights into the technical state of software through various quality characteristics, such as maintainability, reliability, or security. These tools have been used to support a wide variety of Information Technology (IT) project management decisions related to system development, contract negotiations, project terminations, and even settling legal disputes between suppliers and clients. However, despite their rising importance, questions regarding how they function and how reliable they are to support decision-making have so far escaped scholarly attention. This paper conducts an evaluation of widely used SWQATs and analyzes how they rate the quality of software systems of varying sizes, functionalities, and programming languages. Our results reveal five key challenges for using SWQATs in IT projects. To address these challenges, we propose a design for tailorable SWQATs that allows for more conscious and prudent software quality assessments that better reflect the socio-technical aspect of software systems and the context-specific nature of software quality.

Development of near-infrared spectroscopy calibration model and monitoring software: For monitoring hexamethylenetetramine concentration in hexamethylenetetramine–acetic acid solution

In recent years, near-infrared spectroscopy has been increasingly used in chemical engineering processes. However, accurately and in real-time monitoring concentrations remains highly challenging. This study presents a method for accurately monitoring the hexamethylenetetramine concentration in hexamethylenetetramine-acetic acid solution by integrating near-infrared spectroscopy with software techniques. Compared to the methods of zero mean standardization (Z-score), standard normal variate (SNV), first derivative (D1), second derivative (D2), and vector normalization (VN), the Savitzky-Golay first derivative (SGFD) method effectively addresses issues related to baseline drift, noise, and other interferences. This results in clearer identification of characteristic absorption peaks of different components and a significant improvement in the accuracy of the analysis. The study combined the uninformative variable elimination (UVE), differential evolution (DE), and moth flame optimization (MFO) algorithms to optimize a feature wavenumber selection method, which reduced the number of variables by 78.74 %, and the values of root mean square error of calibration set (RMSEC) and root mean square error of prediction (RMSEP) by 18.86 % and 30.38 %, respectively. Additionally, the analytical method was integrated with real-time monitoring software, enabling the monitoring of hexamethylenetetramine concentration. This integration supports the improvement of the quality and safety of the manufacturing process. The results demonstrate the potential application of near-infrared spectroscopy in real-time monitoring and automated control of chemical processes in the chemical industry.

Novel cost-effective Hibiscus flower based colorimetric paper sensor containing anthocyanins to monitoring the quality and freshness of raw fish

This article described the low-cost hibiscus flower based colorimetric paper sensor to monitor the quality and freshness of raw fish. The extract of hibiscus flower was used to develop pH sensing paper strips for qualitative analysis. The sensitivity of paper sensor was checked by colorimetric detection of ammonia gas and then it was implemented to monitor the freshness of fish visually. The extract of hibiscus flower containing anthocyanin molecules are the key molecule for visual detection of spoiled food. The above molecule was spectroscopically analyzed with change in pH of the solution before and after the interaction of food products. We also studied the variation of both color and shade of paper sensor with change in pH at natural and artificial light conditions. The color information extracted from images and their relationship with pH was explored in red, green, blue (RGB) and hue, saturation, and value (HSV) color spaces by the image-J software for qualitative monitoring of food. Anthocyanin based paper sensor is used as a convenient and real time smart food sensor in packaging application.

Empowering Communities: Blynk Software Training and Prototyping for Environmental Monitoring Around Grape Plants

This community engagement paper highlights a training initiative on Blynk software and prototype development for environmental monitoring around grape plants. The training took place in a vineyard in the Tangerang Selatan region. The majority of participants expressed satisfaction with the program, citing increased ease in grape plant observations. The use of Blynk software, coupled with IoT functionality, enabled seamless smartphone monitoring, providing participants with a convenient and efficient means of tracking and observing grape plants. This initiative not only empowered the local community with valuable technological skills but also enhanced their ability to monitor and manage grape cultivation effectively. The integration of Blynk and IoT technology proved to be a practical solution for community-based environmental observation, promoting sustainable agricultural practices in the grape cultivation sector. The Blynk software training and prototyping for grape plant environmental monitoring in Tangerang, supported by faculty and student teams, proceeded smoothly. Participants' reported ease levels after the training were: 40% very easy, 40% easy, and 20% difficult.

A control algorithm to follow the limitations of an electric vehicle motor using the Tm4 Sumo drive as an example

A control algorithm to follow the limitations of an electric vehicle motor using the Tm4 Sumo drive as an example

Three-dimensional kinematics of the trunk, pelvis, hip, and knee during the single-leg squat and hip torque in subjects with isolated patellofemoral osteoarthritis compared to individually matched controls: Preliminary results.

Objectives: This study aimed to compare three-dimensional kinematic of the trunk, pelvis, hip, and knee during the single-leg squat and hip torque in individuals with and without isolated patellofemoral osteoarthritis (PFOA). Patients and methods: This cross-sectional study evaluated trunk, pelvis, hip, and knee kinematics at 30°, 45°, and 60° knee flexion during the single-leg squat using the Vicon motion capture and analysis system, the Nexus System 2.1.1, and 3D Motion Monitor software. Sixteen individuals (8 males, 8 females; mean age: 49.3±6.2 years; range 40 to 61 years) participated in the study, of which eight were PFOA patients and eight were healthy controls. Isometric hip abductor, extensor, and external rotator torques were evaluated using a handheld dynamometer. Results: The PFOA group exhibited greater hip adduction at 30° (p=0.008), 45° (p=0.005), and 60° (p=0.008) knee flexion in the descending phase of the single-leg squat, as well as at 60° (p=0.009) and 45° (p=0.03) knee flexion in the ascending phase. No significant differences were found between groups for other kinematic variables (p>0.05). The PFOA group exhibited lower isometric hip abductor (p=0.02), extensor (p <0.001), and external rotator (p=0.007) torques. Conclusion: Individuals with PFOA exhibited excessive hip adduction that could increase stress on the lateral patellofemoral joint at 30°, 45°, and 60° knee flexion during the single-leg squat and exhibited weakness of the hip abductors, extensors, and external rotators in comparison to healthy controls.

Reengineering of Proxy Logging Monitoring System in XYZ Institution

This research was conducted to assist the head of the IT Operational &amp; Network Education Division of the XYZ institution to reengineering the internet usage monitoring system. This monitoring system is reengineered so that query performance becomes better and the information presented is easily understood by the user. Reengineering the old system will produce a system model that is more in line with the requirements of the current system. The steps taken in this study, analysis of the monitoring system case domain, data analysis, data visualization reengineering, internet use monitoring system reengineering, software implementation and testing. In addition, testing the performance of the query system and usability testing for users from the new visualization results as the output of this study. Reengineering the internet usage monitoring system is a solution to improve query performance and make it easier for users to understand the information presented

Occlusal caries detection and monitoring using a 3D intraoral scanner system. An in vivo assessment

ObjectiveTo assess the agreement in detecting and monitoring occlusal caries over thirty months using conventional visual and radiographic assessment and an intraoral scanner system which supports automated caries scoring. MethodsNinety-one young participants aged 12–19 years were included in the study. All occlusal surfaces were examined visually, radiographically (when indicated), and scanned with the TRIOS 4 intraoral scanner. TRIOS Patient Monitoring software (vers. 2.3, 3Shape TRIOS A/S, Denmark) was used for automated caries detection on the 3D digital models. ResultsFifty-five of the study participants were re-examined after 30-months. Significant differences regarding caries detection were found between the conventional methods and the automated caries scoring system (p < 0.01), with moderate positive percent agreement (49–61%) and high negative percent agreement (87–98%). All methods reported significant caries progression over the follow-up period (p < 0.01). However, the automated system showed significantly more caries progression than the other methods (p < 0.01). ConclusionsThe software for automated caries detection and classification showed moderate positive agreement and strong negative agreement with the conventional methods considering both the baseline and the follow-up assessments. The automated caries scoring system detected significantly fewer caries lesions and tended to underestimate the caries severity. All methods indicated significant caries progression over the follow-up period, while the automated system detected more caries progression. Clinical significanceThe TRIOS system supporting automated occlusal caries detection and classification can assist in detecting and monitoring occlusal caries on permanent teeth as a complementary tool to the conventional methods. However, the operator should be aware that the automated system shows a tendency to underestimate the caries presence and lesion severity.

Groundwater Recharge and Surface Runoff Modeling Response to Land Use and Land Cover Dynamics in a Mae Wong Watershed of Thailand

This study aims to develop efficient management strategies and assess the spatiotemporal dynamics of land use and land cover (LULC) on surface runoff modeling response dynamics for the long-term sustainability of watersheds. The soil and water assessment tool (SWAT) model was used to evaluate the LULC dynamics on GRSR in the Mae Wong Watershed (MWW) of Thailand. Using Landsat images, three different LULC maps (2011, 2021, and 2031) were created using the cellular automata markov chain (CA-Markov) model, and TerrSet 2020 geospatial monitoring and modeling software. In the overall MWW, the forestland has undergone deforestation and decreased by 2.10% of the total area and 2.72% of the total area has been transformed into agricultural lands due to human activity and population growth. The soil, LULC, weather, and the digital elevation model (DEM) were all used in the SWAT simulation procedure. To understand the groundwater recharge and surface runoff (GRSR) responses of each hydrologic response units (HRUs), the SWAT model was calibrated and verified using streamflow and the sequential uncertainty fitting (SUFI-2) technique from the SWAT calibration and uncertainty program (SWAT-CUP). The results indicate that there is a good agreement for both the calibration and validation phases of all LULC simulations. The study indicated that groundwater recharge has decreased over the last two decades while surface runoff has increased due to the forest area being converted to agricultural land. Thus, the study can support maximizing water management and strategies for systematically attaining sustainability.

Criminal expertise and hacking efficiency

Criminal expertise plays a crucial role in the choices offenders make when committing a crime, including their modus operandi. However, our knowledge about criminal decision making online remains limited. Drawing on insights from cyber security, we conceptualize the cybercrime commission process as the sequence of phases of the cyber kill chain that offenders go through. We assume that offenders who follow the sequence consecutively use the most efficient hacking method. Building upon the expertise paradigm, we hypothesize that participants with greater hacking experience and IT skills undertake more efficient hacks. To test this hypothesis, we analyzed data from 69 computer security and software engineering students who were invited to hack a vulnerable website in a computer lab equipped with monitoring software, which allowed to collect objective behavioral measures. Additionally, we collected individual measures regarding hacking expertise through an online questionnaire. After quantitatively measuring efficiency using sequence analysis, a regression model showed that the expertise paradigm may also apply to hackers. We discuss the implications of our novel research for the study of offender decision-making processes more broadly.

Detection Techniques for DBI Environment in Windows

Dynamic binary instrumentation (DBI) is a technique that enables the monitoring and analysis of software, providing enhanced performance compared to other analysis tools. However, to provide the robust dynamic analysis capabilities, it commonly requires the setup of separate environments for analysis, thereby increasing the contrast with normal execution and the distinctive features that may reveal the presence of the DBI environment. Malware adapts to detect the presence of DBI environments, and it consequently leads to the expansion of the attack surface. In this paper, we provide an in-depth exploration of anti-instrumentation techniques that can be exploited by malware, with a specific focus on the Windows operating system. Leveraging the unique features of the DBI environment, we introduce and categorize DBI detection techniques. Additionally, we conduct a comprehensive analysis of the techniques through the implementation algorithms with bypassing methods for the techniques. Our experiments showcase the effectiveness of these techniques on the latest versions of several DBI frameworks. Furthermore, we address associated concerns with the aim of contributing to the development of enhanced tools to combat malicious activities exploiting DBI and propose directions for future research.

Impact of digital assistive technologies on the quality of life for people with dementia: a scoping review

BackgroundDigital assistive technologies (DATs) have emerged as promising tools to support the daily life of people with dementia (PWD). Current research tends to concentrate either on specific categories of DATs...