Early Warning Systems
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
All fields of satellite, airborne and ground remote sensing.
The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more
Opportunities and challenges for implementing highly complex, efficient, and dependable business and control systems have been steadily increasing, driven by the continuous growth in the power, intelligence, adaptiveness and openness of technologies and standards applied in computing, communication and control systems. Dynamically changing social and economic situations demand the next-generation of systems to be based on adaptive, reusable, and internet and Web-enabled technologies and applications. Such systems are expected to have the characteristics of living systems composed of largely autonomous and decentralized components. Such systems are called Autonomous Decentralized Systems (ADS). The International Symposium on Autonomous Decentralized Systems (ISADS) has been the premier events in the past twenty-eight years to have successfully addressed these challenges.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.
2018 13th APCA International Conference on Automatic Control and Soft Computing (CONTROLO), 2018
In developing countries, seismic monitoring and Early Warning Systems (EWS) networks represents enormous budget efforts that it traduces in a poor coverage of the hazardous zones. New viable and economical solutions must be found to increase these monitoring networks. Today it is possible to design and build simple and affordable experimental seismic instrumentation to create high density monitoring networks than ...
IEEE Transactions on Geoscience and Remote Sensing, 2016
Robust estimates of precipitation in space and time are important for efficient natural resource management and for mitigating natural hazards. This is particularly true in regions with developing infrastructure and regions that are frequently exposed to extreme events. Gauge observations of rainfall are sparse but capture the precipitation process with high fidelity. Due to its high resolution and complete spatial ...
International Symposium on Computer Science and its Applications, 2008
Biological early warning systems (BEWS) which detects toxicity by tracking the physiologic responses of the whole organisms has been developed in recent years. In the paper, we firstly apply the C4.5 decision tree Algorithm to the biological early warning systems and propose a new BEWS which can detect toxicity by classifying the flea's behavior data. The new system is meaningful ...
2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), 2008
Biological early warning systems(BEWS) has been developed in recent years. BEWS detects toxicity by tracking the physiologic responses of the whole organisms. In the paper, we apply the classification technique to the biological early warning systems and propose a new BEWS which is meaningful to biological field. Meanwhile, how to select the features in such classification application is also a ...
SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), 1998
Strategic early warning systems are the company's eyes and ears to the surrounding world. The sensitivity and the perception of weak signals announcing changes in the rules of the game are vital elements of strategic management competencies. It is not only to have eyes and ears, it is also to understand the language of the weak signals. How demanding the ...
IEEE Brain: Nia Therapeutics: Building an Early-stage Medical Device Business
5G Proof-of-Concept (PoC) Systems with focus on real use cases - Juha Silipa and Mark Cudak: Brooklyn 5G Summit 2017
Robotics History: Narratives and Networks Oral Histories: Jodi Forlizzi
IEEE 3D Standards-Based Medical Applications and 3D Printing: Young Lae Moon
IEEE Region 5 Presents Stepping Stone Awards on the 50th Anniversary of Apollo 11
Robotics History: Narratives and Networks Oral Histories: Danica Kragic
Q&A with the Experts: IEEE Rebooting Computing Podcast, Special Edition
Robotics History: Narratives and Networks Oral Histories: Lynne Parker
Robotics History: Narratives and Networks Oral Histories: Howie Choset
Non-Invasive Techniques for Monitoring Chronic Heart Failure - Harry Silber - IEEE EMBS at NIH, 2019
Robotics History: Narratives and Networks Oral Histories: Radhika Nagpal
2011 IEEE Medal for Innovations in Healthcare Technology - Harrison H. Barrett
Q&A with Nicholas Napp: IEEE Digital Reality Podcast, Episode 5
ASC-2014 SQUIDs 50th Anniversary: 4 of 6 - Keiji Enpuku
Founders War Stories
Magnetic Materials and Magnetic Devices - Josep Fontcuberta: IEEE Magnetics Distinguished Lecture 2016
Flywheel Energy Storage for the 21st Century: APEC 2019
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 5 of 7 - SQUID Instrumentation for Early Cancer Diagnostics
Robotics History: Narratives and Networks Oral Histories: Barbara Hayes Roth
In developing countries, seismic monitoring and Early Warning Systems (EWS) networks represents enormous budget efforts that it traduces in a poor coverage of the hazardous zones. New viable and economical solutions must be found to increase these monitoring networks. Today it is possible to design and build simple and affordable experimental seismic instrumentation to create high density monitoring networks than can help Civil Protection authorities to take decisions. The main goal of this project is to propose an affordable seismic instrumentation with EWS and capable to execute some control actions to risk mitigation.
Robust estimates of precipitation in space and time are important for efficient natural resource management and for mitigating natural hazards. This is particularly true in regions with developing infrastructure and regions that are frequently exposed to extreme events. Gauge observations of rainfall are sparse but capture the precipitation process with high fidelity. Due to its high resolution and complete spatial coverage, satellite-derived rainfall data are an attractive alternative in data-sparse regions and are often used to support hydrometeorological early warning systems. Satellite-derived precipitation data, however, tend to underrepresent extreme precipitation events. Thus, it is often desirable to blend spatially extensive satellite- derived rainfall estimates with high-fidelity rain gauge observations to obtain more accurate precipitation estimates. In this research, we use two different methods, namely, ordinary kriging and κ-nearest neighbor local polynomials, to blend rain gauge observations with the Climate Hazards Group Infrared Precipitation satellite-derived precipitation estimates in data- sparse Central America and Colombia. The utility of these methods in producing blended precipitation estimates at pentadal (five-day) and monthly time scales is demonstrated. We find that these blending methods significantly improve the satellite-derived estimates and are competitive in their ability to capture extreme precipitation.
Biological early warning systems (BEWS) which detects toxicity by tracking the physiologic responses of the whole organisms has been developed in recent years. In the paper, we firstly apply the C4.5 decision tree Algorithm to the biological early warning systems and propose a new BEWS which can detect toxicity by classifying the flea's behavior data. The new system is meaningful to both biological field and data mining. The new classification application includes decision tree algorithm and feature selection. The new BEWS system consists of training and test process. The experiment results show that the proposed new bio-monitoring system is available for environmental toxicity detection.
Biological early warning systems(BEWS) has been developed in recent years. BEWS detects toxicity by tracking the physiologic responses of the whole organisms. In the paper, we apply the classification technique to the biological early warning systems and propose a new BEWS which is meaningful to biological field. Meanwhile, how to select the features in such classification application is also a contribution of this paper. By using the fractal dimension theory, we define the input features which represent the organism characteristics in non-toxic or toxic environment. The experiment results show that the proposed new bio-monitoring system is effective for environmental toxicity detection.
Strategic early warning systems are the company's eyes and ears to the surrounding world. The sensitivity and the perception of weak signals announcing changes in the rules of the game are vital elements of strategic management competencies. It is not only to have eyes and ears, it is also to understand the language of the weak signals. How demanding the development of this competence is, was underestimated by many companies. That lead to an implementation gap. The Fraunhofer IFF developed a concept to overcome this gap with a dualistic approach: increasing the participation on the one hand and the efficiency of the early warning process with adequate methods on the other hand.
The provision of information on emerging dangerous circumstances in order to reduce the risks before they occur has triggered a lot of research interest in the recent past. The development of early warning systems for disaster risk management has become the focus of numerous global strategies for development. Early warning systems are surveillance systems that collect information on epidemic-prone issues such as diseases in order to trigger prompt public interventions. While the Government of Kenya is doing a lot to improve the quality of health of its citizen, by providing low cost health centers and subsidized drugs for treatment, a lot still needs to be done to prevent epidemics. Disasters wipe out decades of human progress and development in just a few seconds. The recent outbreak of Ebola in West Africa is one such example. Information and communication technology (ICT) can help developing countries tackle a wide range of health problems. This research was triggered by the need to investigate how ICT can be used to leverage medical health issues development in developing countries through innovative concepts. The study was initially funded by the National Council for Science and Technology supported by United States International University to investigate how to leverage health information access through mobile technology. A pilot survey was carried out on health information requirements in different peri-urban areas and the initial results were presented in the IST-Africa 2014 conference. The presentation led to collaboration with the Institute of Mathematics of the University of Koblenz-Landau, Germany, to develop an early warning system that would be tested in Kenya. This paper presents the final results of the funded project as well as the initial results of the models developed from the collaboration.
The principle of ultrasonic distance measurement is used by the system to achieve a non-contact measurement of liquid level on the simulated infusion bottle. Infrared Emitting Diode is used to monitor the speed of infusion. The signal which has been handled appropriately can be treated to achieve the high level, the remaining liquid volume of the infusion bottle, infusion speed and the remaining time, which can be showed on the voice prompts and digital display, and the designed system can offer sound, light, voice alarm at the same time when the infusion is nearly completed. What's more, in order to monitor the infusion points centralized and convenient, the target system also provides extensible wireless network solutions. The result shows that the system works stable, and it has the features of low cost, high precision, practicability.
For flash flood mitigation, the water level at the upstream river should be measured in a near real time manner to promptly assess the flood risk. In this paper, the water level monitoring telemetry stations have been designed and invented to keep tracking of the river water level. However, there is no electric power supply and no wired communication in the upstream river region. The telemetry station should be designed to cope with these challenges. This paper proposed a self adaptive telemetry station, SATS, that can automatically adjust its operation mode to the environmental conditions. An automatic environmental condition learning and evaluation mechanism, Auto-ELE, is also proposed in this paper. The proposed mechanism adaptively adjusts the telemetry station operation against the water level changes. The simulation results show that the proposed mechanism yields to reduce the battery utilization and keep accuracy of the data measurement.
Early Warning Systems (EWS) are an essential component of effective disaster management. In the past decade we witnessed the evolvement of highly sophisticated warning systems, in particular for large-scale natural disasters such as floods, storms, and tsunamis. These systems increasingly require the use of advanced information processing for accurate monitoring and prediction as well as targeted alerting under near real-time requirements. Yet, a common reference architecture for such EWS is missing that provides a solid basis for the application of advanced information processing methods. In this paper, we propose a general reference architecture that provides a systematic and common understanding of the functional elements of an EWS solution. Beside providing the foundation for better EWS-specific systems engineering, this architecture can serve as a basis for the identification of application potentials, effective design, implementation, deployment, operation, evolution and re-use of computational intelligence modules within an integrated EWS solution.
A reliable estimation of soil moisture conditions is fundamental for rivers' discharge predictions, especially in small catchments where flash floods occur. In this context, microwave remote sensing can be exploited to estimate soil moisture at large scale. These estimates can be used to enhance the predictions of hydrological models using data assimilation techniques. Flash flood early warning systems can, thus, be improved. This study tested the effect of the assimilation of three different ASCAT-derived soil moisture products, processed and distributed within the EUMETSAT H-SAF framework (SM- OBS-1, SM-OBS-2, SM-DAS-2), into a distributed physically based hydrological model (Continuum). The study areas were three Italian catchments, representative of the typical Mediterranean small basins prone to flash floods. The products were first preprocessed in order to be comparable with the model soil moisture state estimate. Subsequently, they were assimilated using three Nudging-based techniques. Then, observed discharges were compared with the modeled one in order to understand the impact of the assimilation. The analysis was executed for a multiyear period ranging from July 2012 to June 2014 in order to test the assimilation algorithms for operational purposes in real-cases scenarios. Findings showed that the assimilation of H-SAF soil moisture products with simple preprocessing and assimilation techniques can enhance discharge predictions; the improvements significantly affect high flows. Although SM-OBS-2 and SM-DAS-1 are added-value products with respect to SM-OBS-1 (respectively, higher spatial and temporal resolution), they may not necessarily perform better. The impact of the assimilation strongly relies on the permanent catchment characteristics (e.g., topography, hydrography, land cover).
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