Web-based Monitoring System Research Articles

New Web-Based Ventilator Monitoring System Consisting of Central and Remote Mobile Applications in Intensive Care Units

A ventilator central monitoring system (VCMS) that can efficiently respond to and treat patients’ respiratory issues in intensive care units (ICUs) is critical. Using Internet of Things (IoT) technology without loss or delay in patient monitoring data, clinical staff can overcome spatial constraints in patient respiratory management by integrated monitoring of multiple ventilators and providing real-time information through remote mobile applications. This study aimed to establish a VCMS and assess its effectiveness in an ICU setting. A VCMS comprises central monitoring and mobile applications, with significant real-time information from multiple patient monitors and ventilator devices stored and managed through the VCMS server, establishing an integrated monitoring environment on a web-based platform. The developed VCMS was analyzed in terms of real-time display and data transmission. Twenty-one respiratory physicians and staff members participated in usability and satisfaction surveys on the developed VCMS. The data transfer capacity derived an error of approximately 10−7, and the difference in data transmission capacity was approximately 1.99×10−7±9.97×10−6 with a 95% confidence interval of −1.16×10−7 to 5.13×10−7 among 18 ventilators and patient monitors. The proposed VCMS could transmit data from various devices without loss of information within the ICU. The medical software validation, consisting of 37 tasks and 9 scenarios, showed a task completion rate of approximately 92%, with a 95% confidence interval of 88.81–90.43. The satisfaction survey consisted of 23 items and showed results of approximately 4.66 points out of 5. These results demonstrated that the VCMS can be readily used by clinical ICU staff, confirming its clinical utility and applicability. The proposed VCMS can help clinical staff quickly respond to the alarm of abnormal events and diagnose and treat based on longitudinal patient data. The mobile applications overcame space constraints, such as isolation to prevent respiratory infection transmission of clinical staff for continuous monitoring of respiratory patients and enabled rapid consultation, ensuring consistent care.

Application of the outlier detection method for web-based blood glucose level monitoring system

Recent advancements in biosensors have empowered individuals with diabetes to autonomously monitor their blood glucose levels through continuous glucose monitoring (CGM) sensors. Nevertheless, the data collected from these sensors may occasionally include outliers due to the inherent imperfections of the sensor devices. Consequently, the identification of these outliers is critical to determine whether blood glucose levels deviate significantly from the norm, necessitating further action. This study employs an outlier detection approach based on the 3-sigma method and the interquartile range (IQR), along with the application of the Winsorizing technique to correct the identified outliers. Additionally, a web-based system for visualizing blood glucose levels is developed, utilizing both outlier detection methods. In order to assess the system's performance, two types of testing are conducted: black box testing and load testing. The results of black box testing indicate that all test scenarios operate as anticipated. As for the load testing response times, it is observed that the 3-sigma visualization page loads an average of 606.75 milliseconds faster compared to the IQR visualization page. This study's outcomes are expected to enhance data quality, enhance the precision of analyses, and facilitate more informed decision-making by identifying and addressing extreme data points.

An Analytical Predictive Model and Secure Wed Based Personalized Diabetes Monitoring System using Stacking Ensemble Classification

As the number of people diagnosed with diabetes continues to rise, this study takes a groundbreaking approach by developing a secure web-based personalized diabetes monitoring system that incorporates analytical prediction models. This groundbreaking technology was developed in response to the critical need for sophisticated monitoring solutions that address the unique demands of each patient. The suggested method aims to transform diabetes treatment by using predictive modeling to anticipate diabetic trends and possible consequences. The study demonstrates a strong commitment to security by creating a web-based platform that handles patient data with the highest level of care. By resolving important privacy problems and creating a trustworthy environment for users, this secure framework guarantees the protection of sensitive health information. This approach takes use of several models' characteristics to make diabetes trend estimates more accurate and reliable. In addition to improving the system's prediction skills, stacking ensemble classification helps it adapt to different patient profiles. Because of the importance of accessibility and usability in encouraging patient participation, the suggested solution revolves around the creation of a user-friendly online interface. The interface is a living, breathing platform that allows for frictionless communication between healthcare practitioners and their patients. With the help of tailored insights and trend predictions, patients are better able to manage their diabetes. At the same time, doctors and hospitals have access to all the patient information they need, which allows them to take better, more preventative measures.

ProCoMon: A Web-based Project Procurement Management Plan (PPMP) Consolidation and Monitoring System for Nueva Vizcaya State University

The major purpose of this study is to design and develop a web-based consolidation and monitoring system that can handle the delayed submission of a university's Annual Procurement Plan, which is managed by Nueva Vizcaya State University's Procurement Management Office. As a result of the identification of requirements and specifications, there is a need to design and develop a web-based system wherein research interviews, observations, and user stories are used to identify and analyze the study's methods, issues, and concerns. The Agile Unified Process was used as the research methodology, which managed changing user needs and involved the user in the software development process. AUP includes processes for each of the four phases: inception, elaboration, construction, and transition. As a result, the study lends a better consolidation and monitoring system that is more efficient and accurate in the formulation of an Annual Procurement Plan for the university.

Web-Based Monitoring and Synchronization of Lecturers SKS Information System (Case Study of Muhammadiyah University Cirebon)

Institutions of higher education are increasingly embracing technology to enhance administrative processes and improve efficiency. This study presents a case study conducted at Muhammadiyah University Cirebon, focusing on the development and implementation of a web-based monitoring and synchronization system for lecturer SKS (Sistem Kredit Semester) information. The system aims to streamline the process of monitoring lecturer workload and credit distribution, thereby optimizing academic resource allocation. Through a combination of qualitative and quantitative research methods, including interviews, surveys, and system evaluation, this study examines the effectiveness and user satisfaction of the implemented system. Findings indicate significant improvements in administrative efficiency, transparency, and data accuracy. Moreover, feedback from users demonstrates a high level of satisfaction with the system's usability and functionality. The study contributes to the body of knowledge on the application of web-based systems in academic institutions and provides insights for similar implementations in other contexts.

Perancangan Sistem Informasi Monitoring Kepegawaian Berbasis Web Di Dinas Koperasi Dan UKM Kota Medan

The need for the use of information systems is currently felt by the Medan city Cooperative and ukm Office. Especially the use of information systems with the aim of assisting operational activities in terms of monitoring staffing, namely leave, promotions and employeest retiretment. The staffing monitoring system at the Cooperatives and UKM Office in Medan City has not been computerized. Through this practical work report, the authors propose to design a web-based staffing monitoring system through several stages, namely, data collection which includes interviews and practical work, software design including needs analysis, and system design. The result of thisf practical work is the design of a web-based staffing at the Cooperatives UKM Office in Medan City.

Remote Low-Cost Web-Based Battery Monitoring System and Control Using LoRa Communication Technology

Batteries are a complex electrochemical device that exhibit non-linearity and stochastic behavior which rely upon the operational conditions and environmental factors, making battery monitoring a vital feature throughout its application. This paper introduces a novel web-based battery monitoring and control system that utilizes Long Range (LoRa) communication technology, an integral part of the Internet of Things (IoT). The system is implemented with the ESP32 microcontroller, with an emphasis on affordability in broader applications. The system provides comprehensive real-time online data by integrating a combination of multiple sensors. The proposed system seeks to address the limitations of existing communication technology by utilizing the benefits of LoRa, a technology that facilitates effective long-range, low-energy communication which makes it particularly well-suited for real-time monitoring applications. In addition, a control operation enables users to regulate crucial aspects of batteries, such as their charging and discharging. The research conducted a meticulous experimental evaluation of the proposed system at different operations, and the results successfully aligned with the main objective and aims of the research. The proposed system successfully enables real-time remote monitoring and user control, long-term data visualization through data logging, and assessment of battery conditions. Data logging was introduced to enhance the utilization of future battery evaluation, such as State-of-Charge (SOC), State-of-Health (SOH) and Remaining Useful Life (RUL). As a result, the developed system makes it suitable for many applications requiring effective energy storage solutions, such as renewable energy and Electric Vehicle (EV) applications.

Real-Time Web-Based Monitoring System for Temperature, Humidity, and Solar Panels in Ramie Drying Facilities

Purpose: To address the manual monitoring challenges in processing ramie fibers, especially during drying. The purpose is to create a monitoring system that oversees room temperature, humidity, and the status of solar panels, crucial factors in ramie productivity.Methods: Real-time web-based system development that monitors room temperature, humidity, and the performance of solar panels in a ramie drying room using the Internet of Things architecture ESP32 with communication through GSM SIM 800L in rural areas.Results: The system can display real-time information such as temperature data, humidity, and electrical energy parameters derived from the solar panel's utilization in the ramie drying room. By doing so, users gain efficiency and effectiveness in obtaining information, significantly enhancing ramie fiber productivity.Novelty: Integration of sensor instruments, low-power ESP32 microcontrollers, GSM Telecommunication, Solar Cell Energy as a power source, and a real-time web-based Monitoring Information System implemented in a ramie drying dome. This simplifies the monitoring process and optimizes limited resources such as space, energy, telecommunications, and human resources, which are typically constrained infrastructure in the ramie fiber agricultural system.

Prediction Model of Post-TAVR Complication Using a Medical Twin Web Navigator

Transcatheter aortic valve replacement (TAVR) has been introduced as an alternative to surgical aortic valve replacement for patients with severe aortic valve disease and is expanding into a universal treatment. However, complications after TAVR can have devastating consequences for patients and must be predicted. By designing a TAVR medical twin architecture based on real-world data (RWD), we can minimize complications and achieve optimal clinical outcomes through analysis and simulation results in a virtual environment that can predict complications. The simulation phase utilizes machine learning algorithms for complication prediction to predict patients with conduction abnormalities, a complication of TAVR, and provides the prediction results through a web-based monitoring system. We also conduct research to identify factors that influence complications, so that complication prediction in a virtualized environment on a medical twin architecture can serve as a guide for personalized care design for patients undergoing TAVR.

Integrating random forest model and internet of things-based sensor for smart poultry farm monitoring system

<span>The global poultry industry has encountered growing concerns related to foodborne illnesses, misuse of antibiotics, and environmental impacts. To tackle these issues, this study aims to develop an intelligent poultry farm with real-time environmental monitoring and predictive models. The primary objective is to combine a machine learning-based prediction model with internet of things (IoT) devices to gather and analyze environmental data, such as temperature, humidity, and ammonia levels, to forecast the conditions within poultry houses. These sensor data and additional information, such as feed consumption, water consumption, poultry weight, capacity, and poultry house dimensions will serve as inputs for supervised machine learning models. Among these models, the proposed random forest (RF) model, when augmented with timestamp features, achieves the highest accuracy rate of 96.665%, surpassing other models such as logistic regression (LR), k-nearest neighbor (KNN), decision tree (DT), adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), support vector machine (SVM), and multi-layer perceptron (MLP) in identifying poultry house conditions. Additionally, this study demonstrates how the trained model can be effectively applied in a web-based monitoring system, delivering real-time data to farmers for well-informed decision-making and ultimately enhancing productivity in smart poultry farming.</span>

Telemedicine in the age of the pandemics: The prospects of web-based remote patient monitoring systems for orthopaedic ambulatory care management in the developing economies.

The goal of this research was to demonstrate the efficacy of telemedicine via design, implementation and evaluation of a web-based remote patient monitoring system (WB-RPMS) across the tertiary/university teaching hospitals in a developing country Nigeria, as a tool to continue to expand access to an affordable and resilient tertiary healthcare system through the challenging times of the COVID-19 pandemic or any future disruptions. This research employed an agile and human-centred design thinking philosophy, which saw the researchers iteratively collaborate with clinicians across the system development value chain. It also employed qualitative and quantitative research methods for new system evaluations. After the system's development, a 20-patient sample was randomly selected from members of the National Youth Service Corp to evaluate the WB-RPMS Patient Portal for usability and user experience through a survey based on the system usability scale. Again, the COREQ standards for reporting research result were adopted for this study. The evaluation of the WB-RPMS Patient Portal by a select patient sample showed that 95.0% of the respondents believed that they would like to use the system frequently. It was also discovered that 90.0% of all respondents also indicated that they found the Patient Portal to be simple; 85.0% of the respondents believed and indicated that the WB-RPMS Patient Portal was easy to use. The result of the usability evaluation of the developed WB-RPMS Patient Portal showed that it was well received by the select patient sample and by the clinicians who participated in the development process. In fact, the performance of the system shows that it has the potential to remotely support and sustain improved access to affordable healthcare for outpatients in developing countries even during times of uncertainties and disruptions as recently occasioned by COVID-19 pandemic.

Web-based smart attendance monitoring system using QR code and GSM module for SMS notificatio

The study was designed and developed to address certain problems and concerns of the school administration and parents of students attending Ciriaco Mariano Elementary School. The system was used to provide the school an innovative way to record attendance of students, provide parents with real time updates regarding the entry and exit of their children in the school premises, and be able to monitor students by generating attendance reports. The Web-based Smart Attendance Monitoring System using QR code and GSM module for SMS notification was developed through the implementation of the Iterative System Development Life Cycle Model. This iterative model ensures that the web-based system conformed to the all of the requirements from the CMES and of the requirements set by the ISO 25010 criteria. To assess the quality of the developed web-based system, the researcher adapted the ISO 25010 Software Quality Standard as evaluation tool. Two sets of questionnaires were developed and were given to respondents who were selected using purposive sampling. The first set of questionnaires were given to IT experts to assess the technical qualities of the system which includes functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. The second set of questionnaires were given to the school principal, teachers, and parents to assess the web-based system quality on selected criteria which includes functional suitability, performance efficiency, and usability. The Web-based Smart Attendance Monitoring System using QR code and GSM module for SMS notification was successfully developed using the iterative SDLC model and found conformed to the ISO 25010 software quality standards as implied by the results from the evaluation of IT experts, school principal, teachers, and parents.

Sistem Monitoring Aktivitas Anak Berbasis Web menggunakan Model Rapid Application Development (RAD) pada TK Islam Terpadu Qurrata A'yun

The problem that occurs in TKIT Qurrata A'yun is that currently it only uses WhatsApp Groups as a means of communication between teachers and parents to convey information about children, including activities outside school, Records of children's learning progress are only submitted to parents when receiving report cards. With the web-based system, access to information and monitoring children's learning activities becomes more practical, allowing parents to view data directly from various devices such as computers, laptops, or mobile phones, anytime and from anywhere if they are connected to the internet. The purpose of this study is to design a monitoring system that can provide information to parents, implement a web-based child learning monitoring system. These data were obtained through interviews and observations. The system development method used is Rapid Application Development with 3 stages, namely needs planning, user design, and implementation. The results showed that the success rate of 84.7% of parent questionnaires and 92.5% of teacher questionnaires, indicated that the planned system was "very feasible" to use.

Water Quality Control System Based on Web Application for Monitoring Shrimp Cultivation in Sidoarjo, East Java

Shrimp farming plays a crucial role to the Indonesian economy, but it is facing challenges from shifting weather patterns and global warming. This research focuses on the development and implementation of a web-based water quality monitoring system for shrimp farming to address these concerns. The research, conducted in collaboration with shrimp farmers in Sidoarjo, East Java, introduces PENS Aquaculture program, which is designed to efficiently monitor pH, salinity, and temperature. The system employs Internet ofThings (IoT) technology, which allows farmers to register several ponds, analyze water parameters, and receive real-time data through tables and graphs. The research takes a mixed-methods approach, integrating quantitative data from IoT devices with qualitative insights gathered through surveys and interviews with shrimp farmers. The study aims to evaluate the influence of IoT technology on shrimp pond quality and its contribution to the production. The findings show that PENS Aquaculture application is helpful in increasing shrimp farming efficiency, providing significant insights for the fisheries and cultural sectors.

Monitoring System Management for Organic Wheat Reception Base

Abstract The aim of this article is to present monitoring system management using the AGILE SCRUM Methodology and microprocessors based systems for temperature monitorization of a grain reception base for organic wheat. In this article is presented the well-detailed proof of concept for a web-based temperature monitoring system, using Arduino and temperature sensors for temperature monitorization and AGILE SCRUM Methodology for software development management. In this way, the operators from grain reception base will be able to monitor the temperature from different halls, build from different materials, remotely.

Application of a Web-Based Landslide Mitigation Information System (Sensor-Ku) in Kalongan Village Semarang, Central Java

Background and Objectives: Kalongan is one of the villages in Ungaran District with a potential landslide risk of 2% of its territory. Landslides occur along roadways and in residential areas, endangering the environment and damaging the infrastructure. A web-based early warning system application is the Landslide Early Warning System (Sensor-Ku) which is applied at the research location. This study intends to detect and provide real-time information on the likelihood of landslides, specifically to the people of Kalongan Village.
 Methods: This research creates a web-based monitoring and early warning system, as well as its implementation on an experimental microservice architecture, to provide landslide risk mitigation information to Kalongan residents.
 Results: According to the research, the landslide early warning system (LEWS) provides a solution by integrating many modules, such as recording dynamic variability, handling multi-scale data sets, extracting important trigger information about the onset of potential landslides, and broadcasting multi-level data. warning. This research also combines a real-time landslide early warning system. 
 Conclusion: The Landslide Early Warning System (LEWS) Program is effective in reducing the risk of landslides. Some of the issues found when running the program include the costs of maintaining the landslide early warning equipment, which must be managed by the Kalongan village community.

Remote Sensing Based Deforestation Monitoring at the Change Hotspot Area in Hindu Kush Himalayan Region

Forests play an essential role in providing sustainable ecosystem services and livelihood options for a growing population. In the Hindu Kush Himalayan (HKH) region, forests have been continuously reduced due to increasing demand for timber, fuelwood, and agriculture. Identification of deforestation hotspots and monitoring changes in those hotspots will be highly useful for forest managers to prevent illegal deforestation. In this paper, we identified forest cover change hotspots and areas for annual monitoring in those hotspots. For that factors like land cover from 1990 and 2010, shuttle radar topography mission (SRTM) digitalelevation model (DEM), slope, curvature, and distance from the settlement and roads for all four countries which could influence loss in forest area and overplayed to determine forest hotspots, were considered. Land cover maps of 1990 and 2010 and other GIS layers were used for identification of hotspots using the model builder ArcGIS software. For monitoring of deforestation in the hotspot areas, Landsat 8 images (2013, 2014 and 2015) and geographic object-based image analysis (GEOBIA) technique was used. The method was validated in four study sites in Bangladesh, Nepal, Bhutan and Pakistan. The study revealed that the sites in Bangladesh have higher deforestation during 2013-2014 and 2014-2015 with forest loss of 1121.58 and 1773.18 ha respectively. The web-based forest monitoring system provides information on deforestation useful for forest managers to enforce annual management plans.

Feasibility study on intelligent bridge combined with smart monitoring techniques

This article proposes an innovative concept of an intelligent bridge system that integrates sensors, a processing unit, and an actuator to maintain bridge safety and performance even in the face of unexpected environmental changes and disturbances. Although technically challenging, this system is an exciting prospect for young engineers who aspire to contribute to cutting-edge technological advancements. As a practical example, this article presents an ICT-based bridge remote monitoring system called the "Intelligent Bridge," which allows real-time monitoring and control during extreme events such as earthquakes and typhoons. The Intelligent Bridge comprises a stand-alone monitoring system and a web-based internet monitoring system for bridge maintenance, which is introduced as an intelligent structure integrated into the intelligent bridge system. To verify the validity of the proposed system, it is investigated the ability to adjust cable forces on a 2-span continuous cable-stayed bridge model to control its structural performance. The development of an intelligent bridge system represents a significant advancement in bridge engineering and has the potential to improve the safety and longevity of bridges, particularly in areas prone to extreme environmental events. The system proposed in this article has practical applications that can benefit both engineers and the general public.

B-198 Web-based Application of an Automated Quality Assurance Monitoring System for a Pain Management Panel by Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS)

Abstract Background With its advantages in analytical sensitivity and specificity, quantitative drug analysis by LC-MS/MS platform allows the clinical laboratories to provide results that would meet various clinical needs, especially for those to assess patient compliance on pain medications. However, the complexity of the technology and data it generated, poses challenges and burdens to the quality assurance process. In our toxicology laboratory at the University of Kentucky, we offer a pain management panel to physicians for monitoring patients compliance purpose. This is a LC-MS/MS based assay that can simultaneously qualitative up to 52 drugs and their metabolites. Quality monitor of data from this multicomponent drug assays is laborious and inefficient. Our objective here is to develop and implement an effective automated quality assurance mechanism, and eventually improve the laboratory efficiency, reduce lab errors and enhance quality of patient care. Methods Using the Sciex Multiquant software, the daily processed txt file is generated and uploaded to shared drive to be analyzed using a Java based program. The processing of a file is split into three subparts: (1) saving original data, (2) calculating/ verifying the quality assurance metrics with the predefined limits, and (3) producing a report. The original data uses to the database to retrieve specific information without having to reload the file multiple times. When completed, all the data included in the initial report are read along with limit variables. The metrics for quality assurance with predefined criteria includes: System suitability test sample (Retention time, Peak area), Internal standard (IS) peak area, Blank sample peak area, Calibrator accuracy and calibration curve accuracy, Quality control, Ion ratio, Relative retention time to IS. Once these calculations are finished, a report is generated in a format that allows it to be easily read on the website. Results We are able to generated a daily QA report that is web-based application. Discrepancies within any of the statistics are color coded and given a button allows a user to “check” the measurement and provide a reason why this measurement was out-of-scope. All users are allowed to provide reasoning for an out-of-scope measurement and each of these users’ comments is tracked to provide an audit trail. Once all measurements have been reviewed, a report is ready form review. The process can only be completed by a privileged user. Once the process has been completed, the report cannot be modified. With this application, we are not only able to monitor the quality of the run on the day-to-day basis, the QC and instrument behavior can also be evaluated and reviewed longitudinally. Conclusion An effective and efficient web-based quality assurance monitoring system was successfully developed and implemented for this multicomponent drug analysis by LC/MS-MS. The application of this program will facilitate the mass spec platform use in clinical laboratories.

Design and Development of Web-Based Information System Order Monitoring System

PT. Sanityasa Anjaya Daniswara is a technology company operating as a software house in Solo. Efficient monitoring of project progress is essential for improving efficiency. Thus, a monitoring system that allocates programmers, details work, and summarizes progress is urgently required. This study applies the RAD (Rapid Application Development) method to design a monitoring system that meets the company's needs. The result is a development progress monitoring system that provides an overview of work status, ensuring credibility of information, and enhancing productivity and success in software development projects