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Journal articles on the topic 'Real-time critical information'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Dimanova, Donika, and Zdravko Kuzmanov. "REAL-TIME GIS FOR MONITORING AND SECURITY." Journal Scientific and Applied Research 27, no. 1 (2024): 83–89. http://dx.doi.org/10.46687/jsar.v27i1.408.

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Applications of geographic information systems in the security domain are diverse and cover various aspects such as crisis prevention and management, public safety, national security, critical infrastructure protection and military applications. Real-time GIS is essential for effective emergency response and management because it provides accurate information on the location and dynamics of events.

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Yang, Baiyu, and Elise Miller-Hooks. "Determining Critical Arcs for Collecting Real-Time Travel Information." Transportation Research Record: Journal of the Transportation Research Board 1783, no. 1 (2002): 34–41. http://dx.doi.org/10.3141/1783-05.

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Arndt, Derek S. "HAZARDS: Real-Time Weather Information Critical During Wildfire Outbreak." Bulletin of the American Meteorological Society 89, no. 7 (2008): 960–63. http://dx.doi.org/10.1175/2007bams2330.1.

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Minea, Marius, and Iulian Bădescu. "Delay Factors Modelling for Real-Time Traffic Information Systems." WSEAS TRANSACTIONS ON COMMUNICATIONS 20 (December 28, 2021): 192–97. http://dx.doi.org/10.37394/23204.2021.20.25.

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The paper is presenting an overview of the factors that lead to critical delays which may occur in multi-modal realtime traffic and travel information systems (MRTTI) employing cellular data network communications. The analysis is taking into account MRTTI systems that use mobile devices to detect position and speed of a vehicle and receive traffic information furthermore used to adjust a previously defined route from origin to destination points. Information transmission delays are also investigated for route guidance systems used in critical applications, such as emergency vehicles managemen

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Drummond, W. H., M. Lu, Y. Zhana, et al. "InfoStat: Real-Time Data Acquisition for Information-Intensive Critical Care Environments." Pediatric Research 45, no. 4, Part 2 of 2 (1999): 39A. http://dx.doi.org/10.1203/00006450-199904020-00234.

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Son, Sang H., Robert C. Beckinger, and David A. Baker. "DRDB: Towards distributed real-time database services for time-critical active applications." Journal of Systems and Software 42, no. 3 (1998): 193–204. http://dx.doi.org/10.1016/s0164-1212(98)10010-9.

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Vishnyakov, I. E., I. P. Ivanov, and O. A. Odintsov. "Analysis of Supercritical Stability of Distributed Real-Time Information Systems." Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, no. 3 (136) (September 2021): 60–83. http://dx.doi.org/10.18698/0236-3933-2021-3-60-83.

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The article describes an approach to the numerical analysis of the stability of distributed information systems under a load that varies over time allowing for a short-term load exceeding critical values. Information systems are considered as imperfect queuing systems in which the intensity of the message flow may depend on the size of the queues of applications. Based on this approach, criteria for the stable and unstable behavior of the system under load are formulated, where the stable behavior of the system is understood as the ability of the system to return to its normal mode of operatio

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Maosa, Herbert, Karim Ouazzane, and Viktor Sowinski-Mydlarz. "Real-Time Cyber Analytics Data Collection Framework." International Journal of Information Security and Privacy 16, no. 1 (2022): 1–10. http://dx.doi.org/10.4018/ijisp.311465.

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In cyber security, it is critical that event data is collected in as near real time as possible to enable early detection and response to threats. Performing analytics from event logs stored in databases slows down the response time due to the time cost of database insertion and retrieval operations. The authors present a data collection framework that minimizes the need for long-term storage. Events are buffered in memory, up to a configurable threshold, before being streamed in real time using live streaming technologies. The framework deploys virtualized data collecting agents that ingest d

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Overmann, Kevin M., Lindsey Barrick, and Stephen C. Porter. "Improving Documentation Using a Real-Time Location System in a Pediatric Emergency Department." Applied Clinical Informatics 12, no. 03 (2021): 459–68. http://dx.doi.org/10.1055/s-0041-1730028.

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Abstract Background Appropriate documentation of critical care services, including key time-based parameters, is critical to accurate severity of illness metrics and proper reimbursement. Documentation of time-based elements for critical care services performed in emergency departments (ED) remains inconsistent. We integrated electronic medical record and real-time location system (RTLS)-derived data to augment quality improvement methodology. Objective We aimed to increase the proportion of patient encounters with critical care services performed at a pediatric ED that had appropriate documen

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Shi, Hai, Chuan Hong Zhou, and Jin Jie Xiao. "Base on Real-Time Monitoring Software Integration Technology Research." Applied Mechanics and Materials 333-335 (July 2013): 1529–32. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1529.

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With the rapid development of science and technology, video surveillance system has been widely used with trend of digital, networked and intelligent. Many enterprises have a lot of information management systems simultaneously, such as ERP, PLM, and MES etc., and how to solve the efficient integration between various information systems is more concerned about. This article is based on the real-time monitoring technology, studied by use of soft camera technology to build a critical enterprise information integration platform which has certain realistic meaning and practical value.

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Blair, Scott F., and Jared W. Leighton. "Assessing Real-Time Tornado Information Disseminated through NWS Products." Weather and Forecasting 29, no. 3 (2014): 591–600. http://dx.doi.org/10.1175/waf-d-13-00126.1.

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Abstract Real-time confirmation of a tornado specified in National Weather Service (NWS) warnings and statements is believed to increase the credibility and urgency of these critical warning messages for the end user, because it represents the greatest degree of certainty that the hazard exists. This timely tornado information disseminated in official NWS products and relayed through multiple sources by private and public partners may help the public believe, personalize, confirm, and respond to the warning message. This is the first study to explicitly assess the frequency of real-time confir

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Coito, Tiago, Bernardo Firme, Miguel S. E. Martins, Susana M. Vieira, João Figueiredo, and João M. C. Sousa. "Intelligent Sensors for Real-Time Decision-Making." Automation 2, no. 2 (2021): 62–82. http://dx.doi.org/10.3390/automation2020004.

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The simultaneous integration of information from sensors with business data and how to acquire valuable information can be challenging. This paper proposes the simultaneous integration of information from sensors and business data. The proposal is supported by an industrial implementation, which integrates intelligent sensors and real-time decision-making, using a combination of PLC and PC Platforms in a three-level architecture: cloud-fog-edge. Automatic identification intelligent sensors are used to improve the decision-making of a dynamic scheduling tool. The proposed platform is applied to

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Minami, Mamoru, Julien Agbanhan, Hidekazu Suzuki, and Toshiyuki Asakura. "Real-time Corridor Recognition for Autonomous Vehicle." Journal of Robotics and Mechatronics 13, no. 4 (2001): 357–70. http://dx.doi.org/10.20965/jrm.2001.p0357.

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Recognition of a working environment is critical for an autonomous vehicle such as a mobile robot to guide it along corridor and to confirm its possible intelligence. Therefore it is necessary to equip a recognition system with sensor that collect environmental information. As an effective sensor a CCD camera is generally useful for all kinds of mobile robots. However, it is hard to use the CCD camera for visual feedback since it requires to acquire information in real-time, and moreover to be robust against lighting condition varieties. This research presents a corridor recognition method usi

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Ruf, Jürgen. "RAVEN: Real-Time Analyzing and Verification Environment." JUCS - Journal of Universal Computer Science 7, no. (1) (2001): 89–104. https://doi.org/10.3217/jucs-007-01-0089.

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In this paper we present the real-time verification and analysis tool RAVEN. RAVEN is developed for verifying timed systems on various levels of abstraction. It integrates a real-time model checker for real-time specifications, it offers algorithms for analyzing critical delay times, for inspecting data values and event occurrences and for detecting dead_locks and live-locks. The counter example generator provides helpful information for error recovering by printing system execution paths (failing a given specification) to the integrated wave_form browser. All included algorithms are based on

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Rahman, Hakikur. "Managing Information for Real-Time Decision Support at Community Level." International Journal of Information Communication Technologies and Human Development 5, no. 1 (2013): 60–76. http://dx.doi.org/10.4018/jicthd.2013010104.

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Management of real time information systems is gaining importance in all sectors and facets of human life. Varying from their applications in aviation, military, government, space technology, earth science, robotics, human cognitive, life support systems, disasters and emergencies, they emerge in diversified forms and natures. This paper identifies various contexts in the decision making processes of community livelihood; contextualizes the relevant information for taking time-critical decision, conceptualizes appropriate decision making methods, tools, and technologies for proper implementati

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Gardner, Reed M., William L. Hawley, Thomas D. East, Thomas A. Oniki, and Hsueh-Fen W. Young. "Real time data acquisition: recommendations for the medical information bus (MIB)." International Journal of Clinical Monitoring and Computing 8, no. 4 (1991): 251–58. http://dx.doi.org/10.1007/bf01739125.

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Bhattacharya, Samit, Viral bharat Shah, Krishna Kumar, and Ujjwal Biswas. "A Real-time Interactive Visualizer for Large Classroom." ACM Transactions on Interactive Intelligent Systems 11, no. 1 (2021): 1–26. http://dx.doi.org/10.1145/3418529.

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In improving the teaching and learning experience in a classroom environment, it is crucial for a teacher to have a fair idea about the students who need help during a lecture. However, teachers of large classes usually face difficulties in identifying the students who are in a critical state. The current methods for classroom visualization are limited in showing both the status and location of a large number of students in a limited display area. Additionally, comprehension of the states adds cognitive load on the teacher working in a time-constrained classroom environment. In this article, w

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STAROVOYTOV, A., and V. KRASNOPROSHIN. "REAL-TIME MANAGEMENT OF CRITICAL IT-SYSTEMS BASED ON NEURAL NETWORK TECHNOLOGIES." HERALD OF POLOTSK STATE UNIVERSITY. Series С FUNDAMENTAL SCIENCES, no. 1 (April 24, 2024): 18–25. http://dx.doi.org/10.52928/2070-1624-2024-42-1-18-25.

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The paper investigates a relevant applied problem associated with building decision support systems for critical information services. An original approach is proposed, based on neural network forecasting, within which a method of dynamic local approximation using neural network models has been developed. The principles of constructing and implementing the operational algorithm (under conditions of uncertainty of the external load profile) of a combined proactive system for managing computational resources are outlined. Experiments have been conducted that confirm the effectiveness of the meth

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Murthy, Tata L. N. "Corrosion Prevention Using Real-Time Data in Oil Fields." Materials Performance 57, no. 2 (2018): 48–49. https://doi.org/10.5006/mp2018_57_2-48.

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In corrosion monitoring of oil and gas fields, there are many techniques that can provide data, ranging from identification of corrosion risks to determination of actual corrosion initiation. Real-time monitoring techniques can help in recognizing these critical factors. This information is very useful in preventing significant corrosion losses before they can cause failures. A dynamic approach is essential in corrosion prevention, and real-time data collection offers a useful tool.

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Barkat, Sami, Azeddine Bilami, and Ayoub Benayache. "MQTT-Based QoS Model for IoT-M2M Critical Applications." International Journal of Distributed Systems and Technologies 12, no. 4 (2021): 1–21. http://dx.doi.org/10.4018/ijdst.287862.

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The expeditious development of information technology provides opportunities for new remote and monitoring critical systems to be performed based on IoT technologies and M2M communications. This paper discusses important QoS issues in IoT systems and suggests a new QoS model for critical IoT applications, where each information must be delivered only once and in real-time. The proposal is based on the MQTT protocol with dynamic QoS handling, accordingly to the information importance. A prioritization scheme is adopted using different traffic classes, considering specific requirements for real-

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Frei, Mark G., and Ivan Osorio. "Intrinsic time-scale decomposition: time–frequency–energy analysis and real-time filtering of non-stationary signals." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 463, no. 2078 (2006): 321–42. http://dx.doi.org/10.1098/rspa.2006.1761.

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We introduce a new algorithm, the intrinsic time-scale decomposition (ITD), for efficient and precise time–frequency–energy (TFE) analysis of signals. The ITD method overcomes many of the limitations of both classical (e.g. Fourier transform or wavelet transform based) and more recent (empirical mode decomposition based) approaches to TFE analysis of signals that are nonlinear and/or non-stationary in nature. The ITD method decomposes a signal into (i) a sum of proper rotation components, for which instantaneous frequency and amplitude are well defined, and (ii) a monotonic trend. The decompos

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Portela, Filipe, Pedro Gago, Manuel Filipe Santos, et al. "Implementing a Pervasive Real-Time Intelligent System for Tracking Critical Events with Intensive Care Patients." International Journal of Healthcare Information Systems and Informatics 8, no. 4 (2013): 1–16. http://dx.doi.org/10.4018/ijhisi.2013100101.

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Nowadays, it is increasingly important to utilize intelligent systems to support the decision making process (DMP) in challenging areas such as Intensive Medicine. In Intensive Care Units (ICU), some of the biggest challenges relate both to the number and the different types of available data sources. Even though in such a setting the values for some variables are easy to collect, data collection is still performed manually in particular instances. In order to improve the DMP in ICU, a Pervasive Intelligent Decision Support System, called INTCare was deployed in the ICU of Centro Hospitalar do

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Shyshatska, Olena, Liubomyr Matiichuk, and Andrii Shyshatskyy. "Specification and Verification of a Formal Model for a Real-Time System Using TLA+." Central Ukrainian Scientific Bulletin. Technical Sciences 2, no. 11(42) (2025): 38–44. https://doi.org/10.32515/2664-262x.2025.11(42).2.38-44.

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The paper describes theoretical and applied aspects of modeling real-time information systems using the example of a continuous glucose monitoring (CGM) system. The primary focus is on the application of formal methods, in particular the TLA+ specification language and modal logics, which ensure mathematical precision in describing system behavior. A formal model of the CGM system is constructed, safety invariants are defined, and automated model verification is performed using the TLC mechanism. The obtained results can be used to improve the reliability and justify the correctness of softwar

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Liya, George*1 Parvathy Jagadeesh2 Tency Sara George3 &. Indu Reena Varughese4. "IOT ENABLED REAL TIME LIBRARY MANAGEMENT SYSTEM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY Metanoia 19 (April 4, 2019): 51–58. https://doi.org/10.5281/zenodo.2629195.

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The library plays a critical role in our society, it is an important component of any educational institution. An effective real time library management system provides the right information, to the right person, in right manner at the right time. Security, searching for books, locating the book and its cost effectiveness are the major considerations regarding library management system. Authentication of users plays a vital role while considering the security of library system. Users are able to login to their respective portals using face recognition. Fetched books can be issued using the RFI

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Wycislak, Slawomir, and Atif Akhtar. "Real-Time Visibility for Building Adaptive Resilience." International Journal of Supply Chain Management 14, no. 3 (2025): 42–49. https://doi.org/10.59160/ijscm.v14i3.6311.

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Supply chain resilience has become critical in today's volatile global landscape. Recent disruptions have exposed vulnerabilities in interconnected supply networks, highlighting the need for new approaches to managing complex, rapidly evolving challenges. This research investigates how real-time visibility facilitates adaptive resilience in global supply chains through an integrated theoretical framework. Using a mixed- method approach, we analyze five major recent supply chain disruptions including the Red Sea crisis, Panama Canal drought, COVID-19 outbreaks, Baltimore bridge collapse, Israel

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Sokolov, Sergey, Nikolay Glebov, Kristina Natashova, and Oleg Gubernatorov. "Categorization of objects of critical information infrastructure of water transport." E3S Web of Conferences 110 (2019): 02003. http://dx.doi.org/10.1051/e3sconf/201911002003.

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The transport complex is a complex network with many add-ins and the transfer of large amount of information in real time. Identifying the critical transport information infrastructure is the first step in the process of ensuring security and protecting the availability of critical objects. This paper contains the author's recommendations on the implementation of Russia Federal Law No. 187-FZ regarding the categorization of objects of critical information infrastructure in the field of water transport.

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Xu, Tian-dong, Yuan Hao, Zhong-ren Peng, and Li-jun Sun. "Real-time travel time predictor for route guidance consistent with driver behavior." Canadian Journal of Civil Engineering 39, no. 10 (2012): 1113–24. http://dx.doi.org/10.1139/l2012-092.

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Providing reliable real-time travel time information is a critical challenge to all existing traffic routing systems. This study develops a new model for estimating and predicting real-time traffic conditions and travel times for variable message signs-based route guidance system. The proposed model is based on real-time limited detected traffic data, stochastic nonlinear macroscopic traffic flow model, and adaptive Kalman filtering theory. The method has the following main features: (1) real-time estimation and prediction of traffic conditions on a network level using limited traffic detector

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Lin, Bo. "Real-Time Data Infrastructure for Sea Ice Monitoring in Key Arctic Waters." IOP Conference Series: Earth and Environmental Science 1004, no. 1 (2022): 012018. http://dx.doi.org/10.1088/1755-1315/1004/1/012018.

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Abstract In the theis, the progress of the National Marine Prediction Center in participating in Arctic expeditions and undertaking Arctic expedition forecasting tasks, as well as building an independent real-time data infrastructure for sea ice monitoring in critical Arctic waters are introduced; The creation process, working principles, technical methods, data significance, application directions and service benefits (effects) of the three basic monitoring (observation and detection) information systems in the Arctic sea ice monitoring real-time data collection network—automatic ocean soundi

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Missimer, Katherine, Manos Athanassoulis, and Richard West. "Telomere: Real-Time NAND Flash Storage." ACM Transactions on Embedded Computing Systems 21, no. 1 (2022): 1–24. http://dx.doi.org/10.1145/3479157.

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Modern solid-state disks achieve high data transfer rates due to their massive internal parallelism. However, out-of-place updates for flash memory incur garbage collection costs when valid data needs to be copied during space reclamation. The root cause of this extra cost is that solid-state disks are not always able to accurately determine data lifetime and group together data that expires before the space needs to be reclaimed. Real-time systems found in autonomous vehicles, industrial control systems, and assembly-line robots store data from hundreds of sensors and often have predictable d

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Ni, Yanting, Yuchen Li, Jin Yao, and Jingmin Li. "Development of an integrated real time dispatching system." Journal of Manufacturing Technology Management 25, no. 7 (2014): 980–97. http://dx.doi.org/10.1108/jmtm-01-2012-0006.

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Purpose – In a complex semiconductor manufacturing system (SMS) environment, the implementation of dynamic production scheduling and dispatching strategies is critical for SMS distributed collaborative manufacturing events to make quick and correct decisions. The purpose of this paper is to assist manufacturers in achieving the real time dispatching and obtaining integrated optimization for shop floor production scheduling. Design/methodology/approach – In this paper, an integrated model is designed under assemble to order environment and a framework of a real time dispatching (IRTD) system fo

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Jiao, Wenxiang, Michael Lyu, and Irwin King. "Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 8002–9. http://dx.doi.org/10.1609/aaai.v34i05.6309.

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Real-time emotion recognition (RTER) in conversations is significant for developing emotionally intelligent chatting machines. Without the future context in RTER, it becomes critical to build the memory bank carefully for capturing historical context and summarize the memories appropriately to retrieve relevant information. We propose an Attention Gated Hierarchical Memory Network (AGHMN) to address the problems of prior work: (1) Commonly used convolutional neural networks (CNNs) for utterance feature extraction are less compatible in the memory modules; (2) Unidirectional gated recurrent uni

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Côté, Mathieu, and Michel R. Dagenais. "Problem Detection in Real-Time Systems by Trace Analysis." Advances in Computer Engineering 2016 (January 6, 2016): 1–12. http://dx.doi.org/10.1155/2016/9467181.

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This paper focuses on the analysis of execution traces for real-time systems. Kernel tracing can provide useful information, without having to instrument the applications studied. However, the generated traces are often very large. The challenge is to retrieve only relevant data in order to find quickly complex or erratic real-time problems. We propose a new approach to help finding those problems. First, we provide a way to define the execution model of real-time tasks with the optional suggestions of a pattern discovery algorithm. Then, we show the resulting real-time jobs in a Comparison Vi

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Hladik, Pierre-Emmanuel, Félix Ingrand, Silvano Dal Zilio, and Reyyan Tekin. "Hippo: A formal-model execution engine to control and verify critical real-time systems." Journal of Systems and Software 181 (November 2021): 111033. http://dx.doi.org/10.1016/j.jss.2021.111033.

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Arora1, Kartik. "Real-Time Retrieval-Augmented Generation in Healthcare Using LLMs for Audio-based Querying and Retrieval." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem41141.

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Healthcare information systems are critical for efficient decision-making and patient care. This paper presents a real-time audio-query-driven retrieval-augmented generation (RAG) system using a large language model (LLM) that interfaces with a healthcare database and a vector database. The system allows users to make real-time audio queries, retrieves the necessary information using LLM tools, and delivers audio responses. Comparative performance evaluations between traditional healthcare information systems and our proposed LLM-based approach show significant improvements in query throughput

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Emery, Catherine. "Scholarship In Real Time: Use Of Assignments To Achieve Scholarship Of Teaching." American Journal of Health Sciences (AJHS) 3, no. 2 (2012): 135–40. http://dx.doi.org/10.19030/ajhs.v3i2.6944.

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In higher education, Boyer’s work “Scholarship Revisited” has regained attention as a greater number of academic programs are applied fields where scholarship defined solely as research is too limited in concept. While discovery of knowledge is critical to the academic enterprise, effective teaching is acknowledged as equally important in the age of outcome-focused education, such as in allied health fields. The time required balancing teaching loads that require 12 hours in the classroom, plus office hours and committee participation can present quite a challenge to the tenure-track faculty m

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Denham, Monica, Sigfrido Waidelich, and Karina Laneri. "Fire propagation visualization in real time." Journal of Computer Science and Technology 18, no. 03 (2018): e27. http://dx.doi.org/10.24215/16666038.18.e27.

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Our motivation comes from the need of a tailored computational tool for simulation and prediction of forest fire propagation, to be used by firefighters in Patagonia, Argentina. Based on previous works on Graphic Processing Units (GPU) for fitting and simulating fires in our region, we developed a visualization interface for real time computing, simulation and prediction of fire propagation. We have the possibility of changing the ensemble of raster maps layers to change the region in which fire will propagate.The visualization platform runs on GPUs and the user can rotate and zoom the landsca

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Stempel, Peter, Isaac Ginis, David Ullman, Austin Becker, and Robert Witkop. "Real-Time Chronological Hazard Impact Modeling." Journal of Marine Science and Engineering 6, no. 4 (2018): 134. http://dx.doi.org/10.3390/jmse6040134.

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The potential of using ADvanced CIRCulation model (ADCIRC) to assess the time incremented progression of hazard impacts on individual critical facilities has long been recognized but is not well described. As ADCIRC is applied to create granular impact models, the lack of transparency in the methods is problematic. It becomes difficult to evaluate the entire system in situations where modeling integrates different types of data (e.g., hydrodynamic and existing geospatial point data) and involves multiple disciplines and stakeholders. When considering increased interest in combining hydrodynami

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Munagandla, Vamshi Bharath, Sandeep Pochu, Sai Rama Krishna Nersu, and Srikanth Reddy Kathram. "Real-Time Data Integration for Emergency Response in Healthcare Systems." Journal of AI-Powered Medical Innovations (International online ISSN 3078-1930) 3, no. 1 (2024): 25–38. https://doi.org/10.60087/japmi.vol.03.issue.01.id.002.

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The demand for swift and efficient emergency response in healthcare has intensified with the rise of global health crises and increasingly complex healthcare systems. Real-time data integration plays a crucial role in enabling healthcare providers to respond effectively to emergencies by providing a comprehensive, updated view of patient data, resource availability, and situational developments. This paper explores a real-time data integration framework designed specifically for emergency response within healthcare systems, focusing on how integrated data can enhance decision-making, resource

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Amarnadh Eedupuganti, Santhosh Katragadda, and Jonathan GOH. "Integrating blockchain for real-time fraud prevention in payment systems." International Journal of Science and Research Archive 7, no. 1 (2022): 545–55. https://doi.org/10.30574/ijsra.2022.7.1.0197.

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As consumers and financial institutions increasingly rely on digital payment systems, fraud has become a critical issue. Established fraud prevention practices sometimes fail to follow the rapid evolution of fraudulent practices. The information is derived from the research paper entitled: Fourth Industrial Revolution and its Relationship with Blockchain: A Systematic Review. Blockchain technology is a decentralized, transparent, and immutable system that can appropriately perform fraud detection and prevention by taking advantage of its properties, thus solving the issues of fraud detection a

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Siva, Dr D., C. Sunitha, B. Suresh, A. Sai Pranathi, and P. . Vinod. "Real-Time Landslide Monitoring and Alarm System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43738.

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Landslides pose a significant risk to communities worldwide, often resulting in substantial damage and loss of life. This project presents the design and implementation of a low-cost, efficient Landslide Monitoring System based on an ESP32 microcontroller, integrating both a MEMS accelerometer [1] (ADXL345) and a vibration sensor to detect early warning signs of landslides. The system is designed to differentiate between a mere vibration event, which indicates a preliminary instability, and a more severe tilt event that suggests an imminent landslide. Upon detection, the system triggers an aud

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Kong, Xiaoqiang, William L. Eisele, Yunlong Zhang, and Daren B. H. Cline. "Evaluating the Impact of Real-Time Mobility and Travel Time Reliability Information on Truck Drivers’ Routing Decisions." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 9 (2018): 164–72. http://dx.doi.org/10.1177/0361198118797508.

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This study represents the first research to investigate the impacts of two critical determinants—level of congestion and travel time reliability—on routing decisions with two groups of truck drivers having different levels of awareness of the real-time and the historical traffic conditions on available routes. The research analyzed 14,538 global positioning system devices recording trips on the I-495 crossing through Maryland, Virginia, and Washington, DC, and 2,166 trips in the Dallas area, to explore how truck drivers make routing decisions based on real-time travel time and reliability info

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G.B, Sahana, Sahana R.N, Sandeepa M, Sangeetha Punith K, and Shivakumar Y,. "IoT Based Real Time Water Quality Monitoring System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43811.

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Internet of Things (IoT) had emerged as a technology critical for environmental applications. Water is a natural resource and is the basic need for living things. In the current world, there is a scarcity of water due to overpopulation and also contamination of water resources. It is very crucial to save our drinking water for current and future generations. IoT based smart water quality monitoring system is proposed to monitor the quality of water. Different sensors are used to monitor various parameters like pH value, turbidity in the water. The microcontroller unit is interfaced with the se

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Decker, Christopher, Valeda Yong, and Julianne E. Linahan. "Critical Care Echocardiography." AACN Advanced Critical Care 34, no. 2 (2023): 119–28. http://dx.doi.org/10.4037/aacnacc2023186.

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Ultrasonography is increasingly applied in the critical care setting. With advancements in technology, ultrasonography has become easier to use, with smaller machines, and more fundamental to patient assessment. Ultrasonography is a hands-on tool that brings real-time, dynamic information to the bedside. Patients in the critical care setting often have unstable hemodynamics or a tenuous respiratory status; thus, the use of ultrasonography to augment the assessment greatly improves patient safety. This article explores how to differentiate the etiology of shock with the adjunct of critical care

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Kim, Heejin, Ki Young Huh, Meihua Piao, et al. "Self-Reporting Technique-Based Clinical-Trial Service Platform for Real-Time Arrhythmia Detection." Applied Sciences 12, no. 9 (2022): 4558. http://dx.doi.org/10.3390/app12094558.

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The analysis of the electrocardiogram (ECG) is critical for the diagnosis of arrhythmias. Recent advances in information and communications technology (ICT) have led to the development of wearable ECG devices and arrhythmia-detection algorithms. This study aimed to develop an ICT-based clinical trial service platform using a self-reporting technique for real-time arrhythmia detection. To establish a clinical-trial service platform, a mobile application (app), a demilitarized zone (DMZ), an internal network, and Amazon web services virtual private cloud (AWS-VPC) were developed. The ECG data ac

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Elhawary, Haytham, Haiying Liu, Pratik Patel, et al. "Intraoperative Real-Time Querying of White Matter Tracts During Frameless Stereotactic Neuronavigation." Neurosurgery 68, no. 2 (2011): 506–16. http://dx.doi.org/10.1227/neu.0b013e3182036282.

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Abstract BACKGROUND: Brain surgery faces important challenges when trying to achieve maximum tumor resection while avoiding postoperative neurological deficits. OBJECTIVE: For surgeons to have optimal intraoperative information concerning white matter (WM) anatomy, we developed a platform that allows the intraoperative real-time querying of tractography data sets during frameless stereotactic neuronavigation. METHODS: Structural magnetic resonance imaging, functional magnetic resonance imaging, and diffusion tensor imaging were performed on 5 patients before they underwent lesion resection usi

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Odeleye, J. A., and L. I. Umar. "Basic Design Architecture of Congestion Notification System: A Real Time Road Traffic Information Enabler." Nigerian Journal of Technology 40, no. 1 (2021): 1–5. http://dx.doi.org/10.4314/njt.v40i1.1.

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Road traffic congestion is a prominent challenge of today’s urban center. As a push factor of urban centers, it impact negatively on socio-economic well-being of cities. However, contemporary innovative transport technology of Intelligent Transport System (ITS) is bridging the traveler information gaps, through installation and deployment of smart transport infrastructure such as Congestion Notification System at critical traffic intersections and points that aggravate road traffic congestion. This paper therefore provides a detailed explanation on the configuration and basic architecture of a

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Feenstra, Robert C., Hong Ma, and D. S. Prasada Rao. "CONSISTENT COMPARISONS OF REAL INCOMES ACROSS TIME AND SPACE." Macroeconomic Dynamics 13, S2 (2009): 169–93. http://dx.doi.org/10.1017/s1365100509090221.

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Consistent real income comparisons over time and space are critical for studies on catch-up and convergence. The paper provides an analytical framework for making real income comparisons across countries and over time that satisfy transitivity and at the same time reflect an underlying nonhomothetic utility function for a representative consumer. The concept of reference price comparisons is developed and implemented using nonhomothetic translog and almost ideal demand systems. The paper discusses a direct approach, which uses all the parameters of the demand system to make real income compari

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KUVAIEV, Volodymyr, Pavlo ISHCHUK, Artem POLITOV, and Vladyslav BURIAK. "SOFTWARE SOLUTIONS TO ENSURE THE RELIABLE OPERATION OF COMPLEX INFORMATION AND CONTROL SYSTEMS CRITICAL TO REAL-TIME." Information Technology: Computer Science, Software Engineering and Cyber Security, no. 1 (2021): 16–24. http://dx.doi.org/10.32782/it/2021-1-3.

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Zhang, Yingfeng, Wenbo Wang, Sichao Liu, and Gongnan Xie. "Real-Time Shop-Floor Production Performance Analysis Method for the Internet of Manufacturing Things." Advances in Mechanical Engineering 6 (January 1, 2014): 270749. http://dx.doi.org/10.1155/2014/270749.

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Typical challenges that manufacturing enterprises are facing now are compounded by lack of timely, accurate, and consistent information of manufacturing resources. As a result, it is difficult to analyze the real-time production performance for the shop-floor. In this paper, the definition and overall architecture of the internet of manufacturing things is presented to provide a new paradigm by extending the techniques of internet of things (IoT) to manufacturing field. Under this architecture, the real-time primitive events which occurred at different manufacturing things such as operators, m

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Sai, Krishna Adabala. "Real-Time Hr Data Access: Balancing Security and Usability." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 11, no. 1 (2023): 1–12. https://doi.org/10.5281/zenodo.14752470.

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Real-time data access in Human Resources (HR) systems has revolutionized organizational decision-making, providing instant insights into workforce metrics, employee performance, and operational trends. This advancement enables HR professionals to respond proactively to organizational needs, streamline compliance efforts, and enhance employee engagement. The benefits of such systems are clear, offering unparalleled efficiency and a competitive edge in managing human capital. However, the rapid accessibility of sensitive data introduces significant challenges, including safeguarding personal and

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