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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.
The Optical Fiber Communication Conference and Exhibition (OFC) is the largest global conference and exhibition for optical communications and networking professionals. For over 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move business forward.OFC attracts the biggest names in the field, offers key networking and partnering opportunities, and provides insights and inspiration on the major trends and technology advances affecting the industry. From technical presentations to the latest market trends and predictions, OFC is a one-stop-shop.
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.
RWW2020 will be an international conference covering all aspects of radio and wireless. RWW2020's multidisciplinary events will bring together innovations that are happening across the broad wireless spectrum. RWS2020, this conference application, acts as the main conference for the entire RWW of events that includes the following conferences: PAWR2020, SiRF2020, WiSNet2020, and TWiOS2020 (IEEE Topical Conference on RF/microwave Power Amplifiers, IEEE Topical Meeting on Silicon Monolithic Integrated Circuits in RF Systems, IEEE Topical Conference on Wireless Sensors and Sensor Networks, and IEEE Topical Workshop on the Internet of Space IoS, respectively). In addition to traditional podium presentations and poster sessions, tracks for IEEE Distinguished Lectures, Sunday half-day workshops, Monday panels, and a demo session are planned. A RWW2020 plenary talk are a parallel IoT Summit are planned. A student competition is also planned.
ECTC is the premier international conference sponsored by the IEEE Components, Packaging and Manufacturing Society. ECTC paper comprise a wide spectrum of topics, including 3D packaging, electronic components, materials, assembly, interconnections, device and system packaging, optoelectronics, reliability, and simulation.
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.
Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission
The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...
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 ...
2010 International Conference on Machine Vision and Human-machine Interface, 2010
An intelligence decision support system based on case-based reasoning developed for bridge monitoring which needs visual inspection data and non destructive testing. The system is composed of database system, bridge rating expert system, optimum maintenance planning system, and bridge monitoring strategy support system, which are established according to the management flow of bridge monitoring and bridge evaluation strategy. This system ...
4th Annual Communication Networks and Services Research Conference (CNSR'06), 2006
This paper proposed and implemented an efficient and reliable backup scheme for bridge monitoring system. It is mainly using the wireless sensor network (WSN) to gather the related environment parameters, and transmitting the numerical data to the gateway through multiple-hop relay, and then it further stores data in the back-end database for the professional monitoring staffs to analyze and study. ...
2011 International Conference on Electric Information and Control Engineering, 2011
A new real-time compression algorithm of bridge monitoring signal is introduced to decrease the data redundancy which result from oversampling of the signal. Based on morphology, two kinds of characteristic points have been chosen and applied in signal resampling with inhomogeneous sampling interval to achieve the compression goal. The Hermite interpolation formula is used to recover the signal waveform in ...
2015 11th International Conference on Natural Computation (ICNC), 2015
According to the mass health monitoring data accumulated of bridge structure for a long time, this paper proposes a method for reconstitute the time series in phase space. Since the phase points are regressed by support vector machine (SVM), the relevant time series of past behavior patterns are established. Then, it could infer the future development trend and form the ...
2007 IEEE International Conference on Automation and Logistics, 2007
Large span bridge must be monitored to avoid the paroxysmal accident during their constructing and using. The deflection is the most important factor among all these parameters which can indicate the safety conditions of bridge. According to the theory of the liquid connectivity, the change of the bridge deflection can be obtained by recognizing the liquid level change in the ...
IMS 2011 Microapps - Low-PIM Filter Solutions for Broadband Emission Monitoring
Hayit Greenspan - COVID-19, Deep Learning and Biomedical Imaging Panel
Do-It-Yourself: An Automated Bartender
Giving Small Robots New Ways to Move
Non-Invasive Techniques for Monitoring Chronic Heart Failure - Harry Silber - IEEE EMBS at NIH, 2019
EMBC 2011 -Keynote- Applications and Opportunities for Wearable Technology in Physiological Monitoring -Dale Wiggins
Sania Arshad: Affinity Group of the Year Honorable Mention - IEEE WIE ILC Awards 2017
Q&A with Chris Berka: IEEE Brain Podcast, Episode 9
HKN: Industry Connections Panel
Building the Bridge to the Future - Mary Ellen Randall - Opening Ceremony: Sections Congress 2017
Engineering in Medicine and Biology: Segment 3
Opening Forum Discussion With Catherine A. Novelli And Houlin Zhao - Global Connect Stakeholders: Advancing Solutions
Generation of Models for Wireless Sensor Network Assessment
How will Neurotechnology Impact your Future? - IEEE Brain Workshop
Q&A with Robert Voigt: IEEE Rebooting Computing Podcast, Episode 7
Talking Dog Can Save Lives: IEEE @ SXSW 2017
FPGA demonstrator of a Programmable ML Inference Accelerator - Martin Foltin - ICRC San Mateo, 2019
Tech Super Stars Panelist - Marc Bracken: 2016 Technology Time Machine
Unmet Needs for POC Technology: HIV/AIDS - Ronald Collman - IEEE EMBS at NIH, 2019
An intelligence decision support system based on case-based reasoning developed for bridge monitoring which needs visual inspection data and non destructive testing. The system is composed of database system, bridge rating expert system, optimum maintenance planning system, and bridge monitoring strategy support system, which are established according to the management flow of bridge monitoring and bridge evaluation strategy. This system can not only process quantity of data and assess the deterioration characteristics of the existing bridges but also provide optimum bridge monitoring plan for advanced management according to the project budget and construction condition.
This paper proposed and implemented an efficient and reliable backup scheme for bridge monitoring system. It is mainly using the wireless sensor network (WSN) to gather the related environment parameters, and transmitting the numerical data to the gateway through multiple-hop relay, and then it further stores data in the back-end database for the professional monitoring staffs to analyze and study. The proposed backup scheme could to ameliorate the inconvenience to add or remove sensor nodes in an existing wired bridge monitoring network. Final, the feasibility of the proposed scheme is verified by experimental results
A new real-time compression algorithm of bridge monitoring signal is introduced to decrease the data redundancy which result from oversampling of the signal. Based on morphology, two kinds of characteristic points have been chosen and applied in signal resampling with inhomogeneous sampling interval to achieve the compression goal. The Hermite interpolation formula is used to recover the signal waveform in decoding. Through the evaluate indicators which are obtained by calculating, a higher compression ratio and a much higher similitude of original signal and reinstate signal have been achieved by using the introduced algorithm in this paper.
According to the mass health monitoring data accumulated of bridge structure for a long time, this paper proposes a method for reconstitute the time series in phase space. Since the phase points are regressed by support vector machine (SVM), the relevant time series of past behavior patterns are established. Then, it could infer the future development trend and form the basis of the online security early warning of bridge structure. The strain and tilt monitoring data of Pian Yan-zi bridge in Chongqing are analyzed and compared with the prediction data of the auto regression moving average (ARMA). The results show that: (1) as to the bridge monitoring data, the prediction accuracy of SVM is better than that of ARMA; (2) With the increase of the number of the prediction steps, the prediction accuracy of ARMA drops dramatically. And ARMA is only applicable for short-term prediction while SVM is able to predict a longer period of time. (3) SVM prediction requires a smaller size of samples for modeling but with higher prediction efficiency.
Large span bridge must be monitored to avoid the paroxysmal accident during their constructing and using. The deflection is the most important factor among all these parameters which can indicate the safety conditions of bridge. According to the theory of the liquid connectivity, the change of the bridge deflection can be obtained by recognizing the liquid level change in the connecting pipe installed on the bridge by optical imaging. The PLLD sensors are designed to compose a distribution network sensor system on the bridge. The method that RS-485 bus is transformed to Ethernet is used to implement the long distance data transmission. The upper computer gets the healthy state by analyzing and processing the credible and stable data it gets. This system can achieve long time online monitoring, non-contact measuring and it can control any sensor unit's data collection automatically. The improvement of the optical imaging precision will lead to further improvement of the monitoring system precision.
We have developed dynamic strain distribution sensor sheet using flexible printed circuit (FPC) substrate with 5×5 MEMS-based ultra-thin PZT/Si array. The sensor sheets equipped with signal processing and wireless communication module were attached on the stainless plate as test body and the partly cracked concrete piers of actual bridge. In both case, the output voltage from the PZT/Si on the crack is 3-5 times larger than that on the smooth surface. The resultant mapped images of dynamic strain distribution have shown anomaly at the cracked site.
General operation of bridge does not have perfect safety monitoring schemes, especially for long span bridge and high-speed railway bridge. Unbalanced bearing force can cause bridge deformation and even serious accidents. In order to provide a comprehensive and intelligent monitoring method, a bridge monitoring system architecture has been presented. This paper analyzes a kind of architecture of monitoring system in order to give a universal approach on bridge health monitoring. Then, it brings a design and implement of system data layer based on spring framework and web service technology by using service-oriented method to solve system heterogeneous issues. This data layer can effectively respond to rapid changes in business and will be maintained and extended easily.
Bridge monitoring system is significant to health diagnosis of railway bridges. This paper proposed and developed a novel architecture for large span bridge monitoring. A 3-level distributed structure is adopted in the monitoring system which includes central server, intelligent acquisition node and local controller. Acquisition nodes are located across the bridge. All the acquisition nodes are managed by one local controller. Every acquisition node has 8 channels which can sample displacement, acceleration and strain of bridge. To get high precision data, a 24bits A/D converter ADS1278 is used. Compare to the traditional method, the proposed architecture has two features. First, the acquisition node is a smart device based on powerful DSP processor. Signals of field sensors are analyzed and realtime compressed in the acquisition node. Only the processing results are sent to local controller through IEEE802.11 wireless network. This operation can relieve load of central server and decrease demand of communication bandwidth. Second, 3G wireless network is utilized to provide enough bandwidth for real-time data transmission between local controller and central server. The intelligent monitoring system has run on a large span railway bridge for six months. Running results show that the proposed system is stable and effective.
WBMS is now becoming very necessary for high speed corridor and for every vehicular transportation network. The complete research work demonstrates the monitoring of some essential terminology of bridge which are required to monitor the ageing bridges. The remotely located bridges require continuous health monitoring and maintenance. The sensing technology and fast processing abilities of processing unit together makes an artificial human effort for structural monitoring. The software and programming technology efforts make the system efficient and robust from any external system problems. And through the Wireless Bridge Monitoring Systems (WBMS) the health status and prediction about the maintenance work can easily be decided.
Crack inspection is one of the most important tasks for concrete bridge monitoring. Traditionally, human-based inspection systems using people's eyes are unsafe and costly. To overcome this problem, a novel unmanned aerial vehicle (UAV) based inspection system is developed to detect cracks on the lateral sides and underside of bridges. Applying obstacle avoidance modules, UAV can reach bridges' lateral sides and underside within a safe distance. Thus the onboard camera can capture images of bridge surface in a high resolution. To locate the positions of cracks and solve the problem of limited horizon of single image, a fast feature-based stitching algorithm is developed. Then an edge detection method using structured forests is utilized to detect cracks on the large panorama. With image distortion corrected, the positions of cracks can be located on the large panorama. Experimental results validate the applicability and efficiency of the proposed UAV-based crack inspection system.