Real-time Monitoring Program Research Articles

Research on Artificial Intelligence Assisted Decision Making System in Higher Level Sports Training

Abstract From the perspective of process monitoring of sports training, this paper discusses the basic framework and decision-making function system composition for establishing a decision-making system for higher vocational sports training. Integrate students’ sports data to design a real-time monitoring program for sports training intensity, which forms the mapping relationship between physical fitness and exercise intensity. Utilize and improve the Apriori algorithm to create an association rule mining model for the physical fitness of higher vocational students. Propose using the Multi-Agent model to optimize the data information management of the decision-making system and combine it with the RBF neural network algorithm for sports training performance prediction. To analyze the impact of the sports training decision-making system, application examples are introduced. Examine how association rules are implemented in the decision-making system of higher vocational sports training. When the number of frames is 300, the error correction accuracy before and after the improvement of the Apriori algorithm is 79.14% and 94.23%, respectively. The feedback rate of students’ performance information is maintained at about 0.85 with the assistance of the sports training decision-making system improved by the algorithm. The improved sports training decision-making system is more practical.

Technological Tools Based on Artificial Intelligence in the Sugar Industry: A Bibliometric Analysis and Future Perspectives for Energy Efficiency

Introduction: The application of Artificial Intelligence –AI– in industrial sugar production, particularly in sensor data and systems management, is rapidly evolving towards real-time monitoring programs that offer valuable recommendations and decision-making support within the sugar industry. Methodology: This comprehensive bibliometric analysis of 125 Scopus-indexed articles highlights significant trends in the field, including surges in article production during 2017, 2018, 2021, and 2022, accounting for 34% of total publications. Results: Scientific production in this domain grew by 3.93% from 1969 to 2023. Most research (81%) originated from key countries, including Australia, Brazil, India, China, the Philippines, the United States, and France. Prominent journals played a pivotal role, representing 19% of publications. Noteworthy authors include Attard, Everingham, Meng, and Sexton, with four published articles each. Remarkably, 88% of researchers in this field are transitory. This study underscores dynamic growth in artificial intelligence applications in sugar production, emphasizing sustainability in data and systems management. Conclusions: The effective integration of these technologies holds the potential to enhance sustainability practices, optimizing efficiency and quality throughout the sugar production supply chain, thereby contributing to the attainment of Sustainable Development Goal 9. The utilization of artificial intelligence to optimize industrial sugar production represents technological innovation capable of improving the efficiency and infrastructure of the sugar industry, consequently fostering global sustainable development.

Early Target Attainment With Continuous Infusion Meropenem and Piperacillin/Tazobactam and Utilization of Therapeutic Drug Monitoring in Critically Ill Patients: A Retrospective Cohort Study From 2017 to 2020.

We analyzed the attainment of early pharmacological targets of continuous infusion meropenem and piperacillin/tazobactam and the use and effect of a real-time therapeutic drug monitoring (TDM) program on subsequent dosing and target attainment in patients who are critically ill. This was a single-center, retrospective study among patients hospitalized in the intensive care unit in a Swiss tertiary care hospital from 2017 to 2020. The primary outcome was target attainment [100% tT ≥ 4xECOFF (Pseudomonas aeruginosa)] of continuous infusion meropenem and piperacillin/tazobactam within 72 hours after initiation of treatment. A total of 234 patients were included. Median first meropenem (n = 186 of 234) and piperacillin (n = 48 of 234) concentration was 21 mg/L (interquartile range [IQR], 15.6-28.6) and 100.7 mg/L (IQR, 64.0-160.2), respectively. Pharmacological target was attained in 95.7% (95% confidence interval [CI], 91.7-98.1) of patients receiving meropenem and 77.0% (95% CI, 62.7-87.9) treated with piperacillin/tazobactam. In the univariable and multivariable logistic regression, body weight and estimated glomerular filtration rate were negatively associated with target attainment. Subsequently, meropenem dosage was decreased or stopped in 35 of 186 (18.8%) and 89 of 186 (47.9%) patients, respectively, and increased in 2 of 186 (1.1%) patients. Continuous infusion meropenem and piperacillin/tazobactam yielded excellent and moderate early pharmacological target attainment in critically ill patients, respectively. The TDM was mainly used to decrease meropenem dosage.

BoxScore - A real-time beam-diagnosis program for the CAEN digitizer x730 series

BoxScore is a real-time beam diagnosis and monitoring program for the CAEN x730 series digitizer, developed for the ATLAS in-flight system at Argonne National Laboratory. The CAEN x730 series digitizer, with built-in Digital Pulse Processing for the Pulse-Height-Analysis, digitizes the input signal in real-time and processes it using a trapezoidal filter. BoxScore reads the digitizer’s buffer directly, builds and saves events to local files, plots histograms for particle identification, and outputs the rates of selected isotopes every second. Implementation of BoxScore has shortened the time needed for in-flight beam-tuning and has potential applications for other nuclear physics experiments.

Pollution or innovation? How enterprises react to air pollution under perfect information

From 2013 to 2015, China launched a nationwide real-time air quality monitoring and disclosure program in three waves. Since then, the air quality of prefecture-level cities nationwide has been monitored and released publicly in real-time. Using this information program as a natural experiment, we investigate how the response of enterprises' innovation to air pollution changes before versus after this information program. Based on a sample of Chinese listed companies in 289 prefecture-level cities from 2011 to 2016, the results show that the information program encourages enterprise innovation to react to air pollution. However, different types of enterprises have heterogeneity in response to this program. In the mechanism analysis, this paper finds that the information program stimulates enterprises' innovation through improving local governments' environmental protection motivation and promoting public environmental engagement. Our research highlights the critical role of information in the theory and practice of environmental regulation that has long been ignored.

Detection and Assessment of Post Meter Leakages in Public Places Using Smart Water Metering

The current study aims to monitor, detect, and assess post meter water leakage in public areas including schools, graveyards, public toilets, parks, and universities. Twenty-two different public sites were selected within the current study and smart water meters of various sizes were installed in these pilot study sites (PSS). A real time monitoring program was conducted to measure the flow rates at these sites at 15-min time intervals for a period of six months in 2019. The flow occurrence was monitored every two minutes within a user predefined period of inspection, and hence a leak warning message is generated once a continuous flow was detected. Minimum water usage was observed during the minimum night flow (MNF) period from 00:00 to 05:00, therefore close monitoring of the MNF at shorter time intervals allows appropriate leakage detection with proper estimation of leakage volumes. High levels of post meter leakages were observed at all the PSS where the total leakage exceeded 58% of the total flow. On-site investigations and close monitoring revealed that significant water leakage volumes in these PSS are taking place due to poor management practices where deteriorated water connections in toilets and water taps are the main contributing factors to the water leakages in most of these PSS. The results indicated that such huge leakage can be resolved at a low cost. A frequency analysis of the monitored flow rates was found efficient in analyzing the suitability of the installed meter sizes.

Extreme cyclonic storm monitoring using INSAT-3D/3DR-hyperspectral sounder observations

Space-based geostationary operational sounders viz. INSAT-3D and INSAT-3DR equipped with hyperspectral sounding capability provide various retrieved atmospheric parameters. In this study, the observations taken from these satellites are utilized to analyze two recent extreme tropical cyclonic events, ‘FANI’ falling into category 4 hurricane and ‘VARDAH’, under category 2, severe cyclonic storms. Results suggest that these extreme events and their evolution are well captured by the INSAT 3D/3DR observations which includes brightness temperatures of different IR channels, temperature and humidity profiles along with atmospheric stability indices and parameters, precipitable water, geo-potential height etc. Emphasis is given to ensure that INSAT-3D/3DR are well equipped to monitor and assess such extreme events with a good measure. This analysis projects them as potential utility to assist studies on atmospheric thermodynamics of short-lived extreme environments. The goal of this work is to demonstrate the scope of new generation geostationary satellites with hyperspectral data products in benefiting now casting or real-time weather monitoring program.

Innovative digital inspection methodology

The paper describes an innovative digital inspection methodology that combines 3D laser scanning, metrology and advanced non-destructive testing data that is merged in 3D space to provide a digital record of the condition and mechanical integrity of critical assets. This advanced inspection method supports condition-based maintenance programs and digital twin models to determine future equipment condition, work scope and inspection schedules, while maintaining a digital record throughout the equipment lifecycle. Testing of the methodology includes 3D scanning of drill platforms, baseline scanning of blowout preventers and sheaves, for quality purposes, and the use of augmented reality for viewing scans. Phased array testing has been conducted on sub-components such as slew ring bolting. Data are combined into digital reports that show 3D images of the equipment with precise dimensional data and identified inspection areas. Such reports can be combined with digital twin models to confirm integrity of the equipment for certificate of conformance and baseline data for future integrity comparisons as equipment ages. This innovative inspection methodology will set a new standard for how equipment data are captured, stored and represented. The process provides a range of benefits for OEMs, drilling contractors and operators alike, including digital quality programs to baseline new equipment condition and compare with design parameters, delivering condition and integrity assessments of critical equipment items in-situ or on deck, providing a consistent methodology for inspection and dimensional control of operational equipment items, and providing precise equipment data that can complement digital twin and real time monitoring programs.

From Fog to Smog: The Value of Pollution Information

During 2013-2014, China launched a nationwide, real-time air quality monitoring and disclosure program, a watershed moment in the history of its environmental regulations. We present the first empirical analysis of this natural experiment by exploiting its staggered implementation across cities. The program has transformed the landscape of China’s environmental protection, substantially expanded public access to pollution information, and dramatically increased households’ awareness about pollution issues. These transformations, in turn, triggered a cascade of household behavioral changes, including increases in online searches for pollution-related topics, adjustments in day-to-day consumption patterns to avoid pollution exposure, and higher willingness to pay for housing in less polluted areas. As a result of both short- and long-term behavioral changes, the program significantly reduced the mortality impact of air pollution. Conservative estimates suggest that health benefits are at least one order of magnitude larger than the costs of the program and associated avoidance behaviors combined. Our findings highlight considerable benefits from improving access to pollution information in developing countries, many of which are experiencing the world’s worst air pollution but do not systematically collect or disseminate pollution information.

Imprinted polymer coated impedimetric nitrate sensor for real- time water quality monitoring

The need to determine the nitrate-nitrogen (N) concentration in water with more advanced, inexpensive and accurate sensing systems is pressing. Existing sensing systems are costly, and due to their limitations, they are difficult to use in a continuous real-time monitoring program. Ion-imprinted polymer (IIPs) is a useful technique, which allows the development of low-cost sensors with selective recognition elements. Current research has confirmed that IIPs can be combined into interdigital sensor platforms, for nitrate-N detection in aqueous media. The sensing method is based on electrochemical impedance spectroscopy (EIS) with IIP coating material, and allowing the precise detection of nitrate-N in the range of 1–10 (mg/L). Unknown samples are measured to validate the sensing method. An earlier reported sensing system is used to determine the unknown sample, which is compared with commercial sensors. Results were validated using the standard UV-spectrometric method.

Analysis of Inland Immersed Tunnel Health Monitoring System

Based on Nanchang Hong-gu tunnel, which was the largest inland immersed tube tunnel besides it’s tremendous water level difference, large scale, complex geological conditions, different longitudinal gradients, and other characteristics, accompanied with structure analysis by finite element model, monitoring scheme of the real-time health monitoring program and tunnel health assessment system was analyzed, and the monitoring system was established, then emphasized on the monitoring methods of tube joints open and dislocation, tube uneven settlement, shear key pressure, health assessment indexes and method of index weight determining in health assessment system. This system can make tunnel displacements, internal forces and other health indicators be measured and transmitted automatic in real-time. Research result was applied to Nanchang Honggu tunnel health monitoring system and would be guidance for other tunnel projects as well.

Monitoring system for the wind-induced dynamic motion of 1/100-scale spar-type floating offshore wind turbine

Differing from the fixed-type, the dynamic motion of floating-type offshore wind turbines is very sensitive to wind and wave excitations. Thus, the sensing and monitoring of its motion is important to evaluate the dynamic responses to the external excitation. In this context, a monitoring system for sensing and processing the wind-induced dynamic motion of spar-type floating offshore wind turbine is developed in this study. It is developed by integrating a 1/00 scale model of 2.5MW spar-type floating offshore wind turbine, water basin equipped with the wind generator, sensing and data acquisition systems, real-time CompactRIO controller and monitoring program. The scale model with the upper rotatable blades is installed within the basin by means of three mooring lines, and its translational and rotational motions are detected by 3-axis inclinometer and accelerometers and gyroscope. The detected motion signals are processed using a real-time controller CompactRIO to calculate the acceleration and tilting angle of nacelle and the attitude of floating platform. The developed monitoring system is demonstrated and validated by measuring and evaluating the time histories and trajectories of nacelle and platform motions for three different wind velocities and for eight different fairlead positions.

InSAR data for monitoring land subsidence: time to think big

Abstract. Satellite interferometric synthetic aperture radar (InSAR) data have proven effective and valuable in the analysis of urban subsidence phenomena based on multi-temporal radar images. Results obtained by processing data acquired by different radar sensors, have shown the potential of InSAR and highlighted the key points for an operational use of this technology, namely: (1) regular acquisition over large areas of interferometric data stacks; (2) use of advanced processing algorithms, capable of estimating and removing atmospheric disturbances; (3) access to significant processing power for a regular update of the information over large areas. In this paper, we show how the operational potential of InSAR has been realized thanks to the recent advances in InSAR processing algorithms, the advent of cloud computing and the launch of new satellite platforms, specifically designed for InSAR analyses (e.g. Sentinel-1a operated by the ESA and ALOS2 operated by JAXA). The processing of thousands of SAR scenes to cover an entire nation has been performed successfully in Italy in a project financed by the Italian Ministry of the Environment. The challenge for the future is to pass from the historical analysis of SAR scenes already acquired in digital archives to a near real-time monitoring program where up to date deformation data are routinely provided to final users and decision makers.

Using SMS to monitor adverse events following trivalent influenza vaccination in pregnant women.

Trivalent influenza vaccine (TIV) has been recommended for pregnant women in Australia for more than a decade and funded since 2009, yet vaccination coverage remains low. Misperceptions of the safety of TIV in pregnancy have been identified as a major contributor to low vaccination rates. Ongoing safety monitoring with dissemination of results could help improve antenatal influenza vaccine uptake. To implement a real-time safety monitoring program for TIV administered to pregnant women. Between March and July 2013, a cohort of 3,173 pregnant women who received the 2013 TIV agreed to follow-up regarding possible adverse events following immunisation (AEFI); 3,047 (96%) provided a mobile telephone number and were sent a short message service (SMS) inquiring whether they had experienced an AEFI; attempts were made to contact the remaining 126 (4%) women by voice telephone call. Responses were obtained from 2,885 (90.9%) women, 413 (14.3%) of whom reported a suspected AEFI. Local reactions were the most frequently reported AEFI (4.9%), followed by headache (3.3%), fever (2.7%), fatigue (2.5%), diarrhoea (2.5%) and malaise (1.2%); 39 women (1.4%) sought medical advice and no serious vaccine-related AEFIs were identified. Response rates were higher for SMS compared to telephone (84% vs 63%; P < 0.001). These findings support the safety of TIV in pregnant women. Mobile phone technology proved an efficient method for timely surveillance of adverse events following vaccination. The low level of AEFI observed should be reassuring to antenatal patients and their providers and help promote TIV uptake.

강재 통합 관리 시스템 개발

As one of the largest shipbuilding company in the world, STX Offshore & Shipbuilding currently developed an inventory managing system for steel-plates, which is applied to their steel stock yard. In a traditional way to manage steel yard, almost every work has been done by manually. The manual steel-plate piling process caused some problems such as process delay due to piling errors and the uncertainty of work plan due to lack of information. To solve these problems, we developed an integrated inventory managing system based on real-time crane tracking system which automatically updates steel-plates' piling status. We built the integrated steel-plate database, developed several programs including steel-plate input program, real-time steel-plate monitoring program and steel-yard management program, and constructed hardware system for tracking magnetic cranes. As a result, a supervisor of steel-yard can manage the inventory of steel-plates efficiently and furthermore plan an efficient piling schedule and crane working schedule.

Scalable Multimedia Archive Storage System Research

In the traditional file system, The lack of contact between the file name and the data content led to waste a lot of availability storage space, especially in large data archive storage system. This paper designs and implements a scalable multimedia archive storage system, called IMCAS. IMCAS use CAS store the archive data and use real-time monitor program automatically extract metadata information. through dynamic loading extraction module, the system can support variety of multimedia form.

MONITORIZACIÓN DE LA DEGRADACIÓN DE ACEITES CON SENSORES QUÍMICOS Y POLÍMEROS DE IMPRONTA MOLECULAR OIL DEGRADATION MONITORING WITH CHEMICAL SENSORS AND MOLECULAR IMPRINTED POLYMER

The engine operation state can be reported by real-time monitoring programs. Detecting early signs of equipment failure is the aim of these maintenance programs.Chemical sensors are devices that can perform this function in predictive maintenance.The monitoring of the degradation of automotive engine oils has been achieved by chemical sensors coated with synthetic recognition elements. Following, the elements that make up the QCM device, MIPs, organic-inorganic hybrid materials obtained by sol-gel and electronic packaging are described.

Comparison of Physical Sampling and Real-Time Monitoring Strategies for Designing a Contamination Warning System in a Drinking Water Distribution System

Protecting the water systems of the United States from terrorist attacks has become a federal and local priority. Routine sampling and analysis has been proposed as a potential monitoring approach that could be used to provide early detection of contamination events in drinking water systems. Using the threat ensemble vulnerability assessment computational framework, an evaluation of the benefits of three routine sampling programs is compared to a real-time monitoring program. The results are illustrated by tradeoff curves that demonstrate the benefits provided by a sensor network given an intentional biological or chemical attack. Further, the results show that response time is critical and physical sampling-based monitoring with sample collection frequencies of 24 h or longer are much less effective than real-time monitoring.

퍼팅그립 악력 측정시스템의 개발에 관한 연구

As a preliminary study of finding the relationship between the force at the grip and the success rate during putting stroke, the putting grip sensor system using FSR sensors was developed. The system consisted of the hardware which had the sensor part with 8 sensors per putting glove and data acquisition part as well as the software which had the real-time monitoring program and the offline post-processing program. After experiments with elite-golfer using this system, it is possible to suggest the proper force ranges at the grip during putting stroke.

New Fluosilicic Acid System Removes Deep Clay Damage

Summary Recent models for sandstone acidizing have shown that the secondary reaction of fluosilicic acid (H2SiF6) with clays plays a significant role in the removal of formation damage. The conventional wisdom is that possible precipitation during the secondary reactions can adversely affect treatment success. However, this paper presents laboratory experiments with Berea cores and two Brazilian sandstone cores, as well as with field tests, that show that fluosilicic acid can be injected, by itself, into a sandstone reservoir without causing any damage. In fact, mixtures of fluosilicic acid, with a proper amount of hydrochloric acid (HCl) or an organic acid such as acetic acid (HAc), have been able to improve the performance of two Brazilian water-injection wells by removing clay damage. These two wells, which were injecting 11 and 15 m3/d, respectively, are sustaining injection rates at or above the desired quota of 30 m3/d 5 months after the treatments. The treatments were monitored with a real-time monitoring program, which showed that the skin factor has dropped from about 30/40 to zero. Besides having a lower cost than conventional hydrofluoric acid (HF) mixtures, the main advantage of the new acid system is that it reacts mostly with clays and feldspars, but it almost does not react with quartz. Thus, it can dissolve damage without weakening the rock structure, which makes it suitable for deep damage removal. The low cost of H2SiF6, which is a byproduct of sodium fluoride manufacturing, also makes it a viable option for routine acidizing operations that normally would require the use of an HF acid system.