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The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.
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.
RAST 2019 aims providing a forum for the presentation and reviw of recentdevelopments in the space technologies, especially in the Space for the Sustainable Development Goals.
The conference scope would be covering latest technological advances and research results in the fields of theoretical, experimental and applied signal, image and video processing. Hence, IEEE ICSIPA conference seeks original high quality submissions addressing innovative research in the broad field of signal, image and video processing. These broad fields include but not limited to 1) Acquisition, Storage, Retrieval and Display, 2) Computer Vision Processing and Analysis, 3) Information Forensics and Security, 4) Biomedical Signal Processing, 5)Applied Signal and Speech Processing, and 6) Emerging Technologies
International Geosicence and Remote Sensing Symposium (IGARSS) is the annual conference sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE GRSS), which is also the flagship event of the society. The topics of IGARSS cover a wide variety of the research on the theory, techniques, and applications of remote sensing in geoscience, which includes: the fundamentals of the interactions electromagnetic waves with environment and target to be observed; the techniques and implementation of remote sensing for imaging and sounding; the analysis, processing and information technology of remote sensing data; the applications of remote sensing in different aspects of earth science; the missions and projects of earth observation satellites and airborne and ground based campaigns. The theme of IGARSS 2019 is “Enviroment and Disasters”, and some emphases will be given on related special topics.
Reprints articles from other publications of significant interest to members. The papers are aimed at those engaged in managing research, development, or engineering activities. Reprints make it possible for the readers to receive the best of today's literature without having to subscribe to and read other periodicals.
It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...
Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
Measurements and instrumentation utilizing electrical and electronic techniques.
This IEEE Computer Society periodical covers the many rapidly emerging issues facing information technology professionals, developers, and managers of enterprise information systems. IT Professional's coverage areas include: Web services, Internet security, data management; enterprise architectures and infrastructures; organizing and utilizing data; instituting cross-functional systems; using IT for competitive breakthroughs; integrating systems and capitalizing on IT advances; emerging technologies like electronic ...
2011 International Conference on Remote Sensing, Environment and Transportation Engineering, 2011
First It is introduced that marine oil spill research situation and the oil spill harm, as well as the oil spill risk analysis's necessity, then the Yangshan port sea area hydrodynamic model based on the POM model be given, The eastern harbor district and north harbor district of Yangshan port, two different position and three levels of oil spill was ...
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
Marine oil spills is one of the most serious sea pollution which has a horrible effect on environment, economy, and quality of life for coastal inhabitants. How to reduce the risk of oil spill disasters has become one of the principal problems faced with marine environment management. Oil spill observation and spill processes simulation are two main parts for oil ...
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Marine radar can be applied to detect oil spill targets in a large range, which cannot be affected by night, cloudy, rain, snow and other inclement weather. It has played an important role in the field of oil spill monitoring. Moreover, marine radar has the advantages of low cost and convenient installation, which is suitable for constructing marine oil spill ...
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
How to extract oil spill information accurately with full polarization SAR data is the current problem, Polarization decomposition is one of the effective ways to improve the accuracy of oil spill information detection. Based on the polarization decomposition parameter entropy H, scattering Angle and anti-entropy A, this paper analyzes polarization decomposition parameters and carries out extraction of oil spill information. ...
IET International Conference on Information Science and Control Engineering 2012 (ICISCE 2012), 2012
Now, as an increasing number of marine oil spill accidents, marine oil spill detection research has received national attention. This paper describes the method of the Envisat ASAR SAR data detection oil spill information, the preprocessing and post-processing of Envisat ASAR date. In the pre-processing, we have achieved absolute calibration processing; geometric precision correction based on ground control points and ...
Bari-Bari-II: Jack-Up Rescue Robot with Debris Opening Function
Fog Computing in Energy and Environment Panel - Fog World Congress 2017
Charging Ahead: the Case for Plug-in Hybrid Cars
Standardizing Sensor Analytics for the Internet of Things: IEEE Standards Association Webinar
Larson Collection interview with Chauncey Starr
Technology Discourse: Bio Fuels
First It is introduced that marine oil spill research situation and the oil spill harm, as well as the oil spill risk analysis's necessity, then the Yangshan port sea area hydrodynamic model based on the POM model be given, The eastern harbor district and north harbor district of Yangshan port, two different position and three levels of oil spill was simulated with OILMAP, three rank's oil spill accidents, Through the simulation of three different wind condition oil film diffusion, drift movement, the temporal and spatial distribution of the oil film and wind field and flow of different oil film effects be studied. Finally, according to the function of Yangshan port waters area, sensitive area and oil spill simulation results, Yangshan port waters area is divided into three grades, the oil spill in different areas of the hazard are analyzed In the different periods. The results of the study is to protect the ecological environment, prevent oil spill have great significance.
Marine oil spills is one of the most serious sea pollution which has a horrible effect on environment, economy, and quality of life for coastal inhabitants. How to reduce the risk of oil spill disasters has become one of the principal problems faced with marine environment management. Oil spill observation and spill processes simulation are two main parts for oil spill accident controlling and management. Traditionally, the oil spill information detection and spill simulation is disjoined without any feedback. The modeling approach is all conducted with fixed structure and static data input while the observation system is always static with fixed monitoring scheme. In such a circumstance, neither the observation system nor the simulation can provide highly accurate information. This paper propose a new framework combining oil spill monitoring and simulation as a symbiotic feedback control system based on the theory of Dynamic Data Drive Application System (DDDAS), a new paradigm dynamically integrated simulations, measurements, and applications. The numerical oil spill model can accepts real time data from remote sensing monitoring which assure modeling a more accurate and more reliable outcomes. Multiple simulations will be executed with different remote sensing monitoring scheme and the feedback from simulation guide and determine how to gather the data. For mathematical modeling of the DDDAS based marine oil spill management system, we built a multi-stage optimization model. Such system could promise more accurate prediction and more reliable outcomes with real time oil spill input, which will improve modeling technologies, advance prediction capabilities of simulation systems, and enhance oil spill monitoring.
Marine radar can be applied to detect oil spill targets in a large range, which cannot be affected by night, cloudy, rain, snow and other inclement weather. It has played an important role in the field of oil spill monitoring. Moreover, marine radar has the advantages of low cost and convenient installation, which is suitable for constructing marine oil spill network monitoring system. Taking marine radar image data monitored in 7.16 oil spill event in Dalian, China, based on shore wireless network station, marine radar oil spill monitoring integrated system is established among ships, offshore platforms and onshore oil spill monitoring command center. The oil spill monitoring network has been installed on Sinopec offshore oil platforms, and the operation effect is good.
How to extract oil spill information accurately with full polarization SAR data is the current problem, Polarization decomposition is one of the effective ways to improve the accuracy of oil spill information detection. Based on the polarization decomposition parameter entropy H, scattering Angle and anti-entropy A, this paper analyzes polarization decomposition parameters and carries out extraction of oil spill information. In the light of the similar characteristics of oil spill in entropy H and scattering angle parameters, platform and ship is analyzed, which bring the false of oil spill, and various indexes are constructed. From scattering mechanism and test results, established the index of the oil spill information extraction, combined with the oil spill features, this paper proposes a simple and effective information automatic extraction method of oil spill, The accuracy is about 71.4%, which can meet the needs of oil spill operation monitoring.
Now, as an increasing number of marine oil spill accidents, marine oil spill detection research has received national attention. This paper describes the method of the Envisat ASAR SAR data detection oil spill information, the preprocessing and post-processing of Envisat ASAR date. In the pre-processing, we have achieved absolute calibration processing; geometric precision correction based on ground control points and enhanced LEE filter processing. In the oil spill information extraction phase we use manual threshold segmentation, automatic threshold segmentation and CFAR detection method for extraction of oil spills area. Test results show that the methods used to achieve good extraction effect.
Marine oil spills is a matter of great concern since it causes environmental disasters and threats the ecological system, thus the capability to detect precisely and analyze sufficiently is a significant guarantee to realize the management followed by oil spill. The Synthetic Aperture Radar (SAR) has recognized as a key remote sensing tool for oil spill monitoring and detecting. This paper uses modified GBVS model to extract oil spill area as the region of interest based on the significant difference between oil-covered region and background sea-water. First, normalize the mean value of the oil spill image, and then filter out the high value by threshold definition; get the final region based the fusion saliency map with GBVS and mean difference. In the end, we discuss four well-known polarization features of oil/sea based on dual-polarization RADARSAT-2 imagery. The study demonstrates that dual- polarization SAR system has real good potential in the study of oil spill detection.
A two-dimensional nested regional hydrodynamic model of Bohai is established, in which Alternating Direction Implicit method (ADI) is applied in dispersing shallow water circulation equation and chasing method is applied in solving equation groups. The water boundary of the model is defined by the harmonic analysis method. Oil spill schema adopted in the model describes the barycenter trajectory of the spilled oil effected by of wind and flow, and the result is validated in a water channel experiment. Oil spill model is set up based on the hydrodynamic model and oil spill schema. Instantaneous and continuous oil spill from static point source are calculated with or without wind effect, then continuous oil spill from moving point source is simulated. This mathematical modeling provides a complete exemplification to research on oil spill on the sea.
In order to improve the accuracy and rapidity of forecast of oil spill in Three Gorges Reservoir Area, and provide technical support for oil spill emergency decision-making. The paper designed an oil spill forecast model that can be used in Three Georges Reservoir Area by using EFDC model. Considering the effect of the wind and flow, and integrating with oil spill drift model, the oil spill forecast model optimized the hydrodynamic model to increase the forecast speed from the point of emergency. Finally, the system has been used to simulate an oil spill accident occurred at Wanzhou which is the typical water area of Three Gorges Reservoir Area at 175meter water level. The result of simulation verified the effect of the oil spill forecast model which is the first oil spill forecast model in Inland river of China.
Marine oil spill causes ecological pollutions that result in serious impacts to the quality of marine eco-environment. Effective oil spill detection and monitoring are the basis for the rapid response and play an important role. Due to its all-weather, day and night detection, wide coverage, and real-time monitoring capability, Synthetic Aperture Radar (SAR) is the most applicable sensors for marine oil spill monitoring and detection. Radar detection of target always uses back scattering of its reaction. After the oil spills, oil slicks spread to the sea surface dampen the Bragg waves and reduce radar backscattering coefficients; that is, smooth the sea surface. So oil spills appear as dark areas in the SAR images. The critical part of the oil spill detection is to distinguish oil spills from other natural phenomena. Low wind speed areas, internal waves, biogenic films and so on can lead to this phenomenon, which are called "look-alikes". Based on the principle of oil spill detection using SAR images, analysis accomplished over ENVISAT ASAR data gathered in the Gulf of Mexico and related to the Deepwater Horizon oil spill accident, which happened on April 20, 2010, is mentioned in this paper. The main areas of interest related to such disaster are the following: (1) to detect oil spills at sea and (2) analyze changes of oil slicks over the sea. In order to achieve the proposed goal, the method consists of three steps: preprocessing, detection of dark spots and analysis. Firstly, the SAR data are pre-processed, including histogram equalization, geometric correction and speckle filtering. Enhanced Lee filter is used to reduce the speckle noise due to the good capability in noise suppression and edge preserving. Secondly, SAR image classification and oil spill identification are carried out. Because of dark patches in SAR images cause by other natural phenomena, the purpose of the classifier is to distinguish oil spills from look-alikes. So the object- based classification is applied with support vector machine (SVM) owing to a better effect for oil spill identification. Last but not the least, based on the results of oil spill exaction and polluted areas, the development process of Deepwater Horizon oil spill is analyzed, such as the temporal dispersion scope, diffusion and drift of the oil slick. In addition, oil spill area is calculated for area variation tendency. At the early stage of this accident, shapes of oil slicks mainly appear as patches. As time passed by, quite a few parts of oil slicks showed as stripes. Oil slick shape and position were affected by winds, ocean currents and so on. During the middle or later period, a portion of oil slick eroded the coasts of Louisiana, Alabama and Florida. In the early days of the Deepwater Horizon oil spill, the size of oil slicks presented the tendency of increasing as a whole and reached a peak in June. However, after July, areas of oil slicks began to fall. Relevant reports such as weather and plugging are also attached, which indicate analysis and reports are in accordance.
Along with the increase of water transport, water pollution also increases, especially the water oil spill incident on water environment pollution. Funds, materials, personnel and technology and so on, the factors affect oil spill emergency guarantee ability of the implementation, these indicators which the oil spill emergency guarantee ability assessment can reduce water spilled oil pollution affects are great significance. In this paper the water oil spill emergency guarantee influence factors and the connections between the characteristics of abstraction, and introducing structure equation model. This paper concludes factors and establish emergency guarantee ability of evaluation index system, and then to build a multilayer path model, and the research model algorithm, all kinds of emergency security analysis of the relationship between the influencing factors and the effect of emergency guarantee ability, and get emergency guarantee ability influence index. Research conclusion can be used as water oil spill emergency guarantee decision-making reference.
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