Implementation Of Real-time Monitoring Research Articles

The Transformative Impact of Big Data in Healthcare: Improving Outcomes, Safety, and Efficiencies

The integration of Big Data analytics into the healthcare sector has initiated a period of unparalleled transformation, significantly influencing patient care, research, and healthcare administration. This detailed synthesis, derived from a systematic literature review of 31 articles published between 2013 and 2023, examines the extensive impact of Big Data within the healthcare industry. It addresses how Big Data enhances personalized medicine and optimizes treatment protocols, promotes the use of predictive analytics for the early detection and management of diseases, and bolsters patient safety through the implementation of real-time monitoring and decision support systems. The review also confronts the challenges and limitations associated with Big Data's application, including concerns over data privacy and security, ethical dilemmas, interoperability issues, and the necessity for both skilled personnel and advanced technological infrastructure. Furthermore, this overview ventures into future prospects and technological advancements, emphasizing the pivotal role of emerging technologies such as artificial intelligence (AI), machine learning, and blockchain in heralding a new era of healthcare. It highlights Big Data's instrumental role in supporting public health measures and preparing for pandemics, alongside forecasting the ongoing influence of Big Data in fostering innovative healthcare paradigms. This analysis advocates for a concerted effort among healthcare professionals, policymakers, and technology experts to fully leverage Big Data's capabilities in healthcare, aiming to enhance health outcomes, increase operational efficiencies, and ensure the long-term viability of healthcare systems.

Design and Implementation of Real Time Monitoring of Bridge by Using Sensor Technology

Abstract: Now a day’s bridges are important as per travel aspect since it make passing of river or a ground easier in the travel and transport. But the bridges may collapse anytime due to flood to the river or due to aging and lead to disaster. Hence it is important to monitor the bridge conditions every time. Such type of bridge is dangerous to travel or use. The people who are using the bridge, they may face the unpredictable situations due to damaging of bridges. Hence, continuously monitoring the bridges is necessary for the better health of bridge. In this proposed system, we can see real time monitoring of bridge where we can detect flood, crack detection, load on the bridge, by using different sensors. Here, sensors help us to give information about bridge conditions to alert the user. This system contains water level sensors, load sensor, jumping wire for providing the information about real-time condition of bridge. The user of bridge gets the alert about the bridge conditions via LCD screen, LED and Buzzer. These all sensors, wire and alert devices are connected to microprocessor Arduino Uno .This system make sure to provide alert to all users so that many people who are going to use the bridge get protected from biggest accidents. In this way this system is helpful to save the life of people.

A hybrid novel framework for flood disaster risk control in developing countries based on smart prediction systems and prioritized scenarios

A Decision Support System (DSS) is a highly efficient concept for managing complex objects in nature or human-made phenomena. The main purpose of the present study is related to designing and implementation of real-time monitoring, prediction, and control system for flood disaster management as a DSS. Likewise, the problem of statement in the research is correlated to implementation of a system for different climates of Iran as a unique flood control system. For the first time, this study coupled hydrological data mining, Machine Learning (ML), and Multi-Criteria Decision Making (MCDM) as smart alarm and prevention systems. Likewise, it created the platform for conditional management of floods in Iran's different clusters of climates. According to the KMeans clustering system, which determines homogeneity of the hydrology of a specific region, Iran's rainfall is heterogeneous with 0.61 score, which is approved high efficiency of clustering in a vast country such as Iran with four seasons and different climates. In contrast, the relation of rainfall and flood disaster is evaluated by Nearest Neighbors Classification (NNC), Stochastic Gradient Descent (SGD), Gaussian Process Classifier (GPC), and Neural Network (NN) algorithms which have an acceptable correlation coefficient with a mean of 0.7. The machine learning outputs demonstrated that based on valid data existence problems in developing countries, just with verified precipitation records, the flood disaster can be estimated with high efficiency. In the following, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method as a Game Theory (GT) technique ranked the preventive flood damages strategies through three social (Se 1), environmental (Se 2), and economic (Se 3) crises scenarios. The solutions of flood disaster management are collected from literature review, and the opinion approves them of 9 senior experts who are retired from a high level of water resource management positions of Iran. The outcomes of the TOPSIS method proved that National announcement for public-institutional participation for rapid response and funding (G1-2), Establishment of delay structures to increase flood focus time to give the animals in the ecosystem the opportunity to escape to the upstream points and to preserve the habitat (G 2–8), and Granting free national financial resources by government agencies in order to rebuild sensitive infrastructure such as railways, hospitals, schools, etc. to the provincial treasury (G3-10) are selected as the best solution of flood management in Social, Environmental, and Economic crises, respectively. Finally, the collected data are categorized in Social, Environmental, and Economic aspects as three dimensions of Sustainable Development Goals (SDGs) and ranked based on the opinion of 32 experts in the five provinces of present case studies.

IoT Based Patient Health Monitoring using ESP8266 and Arduino

Internet of Things is a technological paradigm which can be incorporated in real time patient monitoring system. The review and implementation of real time monitoring of patients using biomedical sensors and microcontroller is presented where physiological parameters like heart-rate, body temperature is measured. This IoT prototype could read the pulse rate and measure the body temperature updates them to things peak an IoT platform.

Real-time monitoring as a supplementary security component of vigilantism in modern network environments

The phenomenon of network vigilantism is autonomously attributed to how anomalies and obscure activities from adversaries can be tracked in real-time. Needless to say, in today’s dynamic, virtualized, and complex network environments, it has become undeniably necessary for network administrators, analysts as well as engineers to practice network vigilantism, on traffic as well as other network events in real-time. The reason is to understand the exact security posture of an organization’s network environment at any given time. This is driven by the fact that modern network environments do, not only present new opportunities to organizations but also a different set of new and complex cybersecurity challenges that need to be resolved daily. The growing size, scope, complexity, and volume of networked devices in our modern network environments also makes it hard even for the most experienced network administrators to independently provide the breadth and depth of knowledge needed to oversee or diagnose complex network problems. Besides, with the growing number of Cyber Security Threats (CSTs) in the world today, many organisations have been forced to change the way they plan, develop and implement cybersecurity strategies as a way to reinforce their ability to respond to cybersecurity incidents. This paper, therefore, examines the relevance of Real-Time Monitoring (RTM) as a supplementary security component of vigilantism in modern network environments, more especially for proper planning, preparedness, and mitigation in case of a cybersecurity incident. Additionally, this paper also investigates some of the key issues and challenges surrounding the implementation of RTM for security vigilantism in our modern network environments.

Implementation of Real-Time Monitoring of Working Conditions to Improve the Monitoring Level of VOCs Pollution

It is imperative to improve the monitoring level of organic waste gas pollution by carrying out real-time monitoring of working conditions, which is in line with national policy and social development. Due to the complex composition, widespread distribution of pollution sources and unorganized emission, it is difficult to control organic waste gas effectively only by current emission regulation. The government should follow up continuously and in real time the status of environmental protection equipment opened by polluting enterprises when the technical conditions permits. It is realized the real-time data collection, transmission, storage and form various reports to monitor, check and judge the working status. Through the implementation of the real-time monitoring of working conditions, the supervision efficiency is improved, the management means is enriched, and a great deal of manpower and management costs are saved.

Design of real-time monitoring and intelligent management cloud platform for entire process of construction waste

In order to achieve real-time detection and intelligent control of generation links, transportation processing links, resource utilization and application of recycled products about construction waste, the real-time monitoring and intelligent control cloud platform is studied. This platform can dock urban external construction departments, urban management departments and other external e-government systems to achieve the aims of entire process detection and intelligent resource utilization. This paper studies the design and implementation of real-time monitoring and intelligent control cloud platform for construction waste. This platform is divided into three parts: the data acquisition layer, the data transmission layer, the big data processing layer and application service layer. The article focuses on the functions and technical implementation of each layer: data access design including big data monitoring technology in the whole process of construction waste control, storage design of cloud computing collaborative service technology in the whole process of construction waste control, real-time 3D visualization software and hardware support based on space-time cloud platform.

IOT Based Wireless Safety System for Monitoring the Physiological and Environmental Variables of Mine Workers.

The coal mining is essential as well as a risky venture. The miners working here need to handle the extreme environmental condition and the physiological hazardous without specialized examination. A continuous monitoring of the environmental change and the physiological variables is needed in order to enhance the condition for people and the equipment. A Continuous monitoring of the environmental gases and the physiological variables is the major challenge and need to be followed for safety of workers working in mine. This paper present the design and the implementation of real time monitoring device to measure the physiological variables and the gases present in the mining. The proposed system consists of physiological variables, ECG signal, respiratory activity, body temperature, fall detection and also the environmental gases. The sensors will be embedded throughout the T-shirt to measure the variables. The device will monitor the real time data and wireless communication network will be provided by using Wi-Fi link module. By using IOT it is easy to upload the data on the web server and it also provides data security.

Design and implementation of real‐time monitoring and control system supported with IOS/Android application for industrial furnaces

SCADA (supervisory control and data acquisition) systems have been used widely in the manufacturing process in parallel to the rapid advancement of technology in recent years. The quality of products in these systems depends on direct process monitoring and control. Therefore, in this study, a SCADA‐based scale model is developed for real‐time monitoring and control of an industrial furnace by using Android/IOS‐based smartphones. To achieve the desired temperature in the furnace and to keep the energy saving constant, a PLC‐based SCADA system was designed. In the designed system, the furnace temperature is measured continuously by sensors and the furnace voltage is set as analog in order to reach the desired temperature as soon as possible. Different PID parameters are used to achieve this aim. Thus, the product quality is increased and energy efficiency is achieved. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

Design and Implementation of Real Time Monitoring and Control System for Distributed Robotic Systems Supported with IOS/Android Application

Design and Implementation of Real Time Monitoring and Control System for Distributed Robotic Systems Supported with IOS/Android Application

Design and Implementation of Real-Time Monitoring and Intelligent Management System for Intensive Aquaculture

Extensive aquaculture has been used in Chinese aquaculture farms for a long time. Inefficient and high consumption are main shortcomings for this aquaculture type. This paper designed and implemented an aquatic parameters real-time monitoring and management system based on water quality sensors, wireless sensor network and information management technologies. The system can monitor water quality parameters in real-time and automatically (or manual) control aquaculture equipment according timing, threshold or mobile short message service. Also, according to different aquaculture objects, the system provides one-stop information services as aquaculture disease warning and diagnosis, bait feeding etc. The applications in eight different regions in China have proved the system can effectively improve the intensive aquaculture informatization level and realized the whole process of aquaculture information management.

Real-time monitoring implementation in a remote-pumped WDM PON

We report on an improved configuration to monitor a passive optical network with high quality in service. This proposed system comprises fiber-Bragg gratings, a 1 × 4 optical switch, and an optical time-domain reflectometry to diagnose the broken point in real time. It could simultaneously detect multioptical network units in a WDM PON. The remote-pump integrated residual pumping reused function is implemented. Broken points in different optical paths can be detected simultaneously even when the distances to the central office are identical. The bit-error rate testing is verified with a small power penalty, making it an ideal solution for the real-time monitoring in a WDM PON.