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2018 Geoinformation for Disaster Management conference, Gi4DM 2018

作者： Akca, Devrim Stylianidis, Efstratios Poli, Daniela Gruen, Armin Altan, Orhan Hofer, Martin Smagas, Konstantinos Martin, Victor Sanchez Walli, Andreas Jimeno, Elisa Garcia, Alejandro Department of Civil Engineering Isik University Istanbul Turkey School of Spatial Planning and Development Aristotle University of Thessaloniki Greece 4DiXplorer AG Zurich Switzerland Department of Information Architecture ETH Zurich Switzerland Department of Geomatics Engineering Istanbul Technical University Turkey Ekinoks Surveying Software Engineering Ltd Istanbul Turkey GeoVille Information Systems GmbH Innsbruck Austria GeoImaging Ltd Nicosia Cyprus Ingeniería Y Soluciones Informáticas S.L. Sevilla Spain

Forest agencies give special attention to forest fires where post-disaster loss can rarely be gauged in a quick and economic way unless an appropriate technology is adopted. Determination of the planimetric and volumetric changes between pre- and post-fire is in high demand. The FORSAT system (a satellite processing platform for high resolution forest assessment) was developed to meet the relevant demands. It has the capability of extracting of 3D geometric information from the very-high resolution (VHR) imagery from satellite optical sensors and automatic 3D change detection. FORSAT includes two main units. The first one is dedicated to the geometric and radiometric processing of satellite optical imagery and 2D/3D information extraction. This includes: image radiometric pre-processing, image and ground point measurement, improvement of geometric sensor orientation, quasi-epipolar image generation for stereo measurements, digital surface model (DSM) extraction by using a precise and robust image matching approach specially designed for VHR satellite imagery, generation of orthoimages, and 3D measurements in single images using mono-plotting and in stereo images. FORSAT supports most of the VHR optically imagery commonly used for civil applications: IKONOS, OrbView - 3, SPOT - 5 HRS, SPOT - 5 HRG, QuickBird, GeoEye-1, WorldView-1/2, Pléiades 1A/1B, SPOT 6/7. The second unit of FORSAT is dedicated to 3D surface comparison for change detection. It allows users to import DSMs, to co-register them using an advanced 3D surface matching approach and to calculate the planimetric and volumetric changes between epochs. The capacity and benefits of FORSAT have been tested in two real cases, where are burned areas located in Cyprus and Austria. The geometric characteristics of burned forest areas have been identified both in 2D plane and 3D volume dimensions, using pre- and post-fire optical data from different sensors. FORSAT is a single source and flexible forest information

关键词： Image matching

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Electromagnetic Analysis of Fringed Microstrip Lines on Porosified LTCC

Electromagnetic Analysis of Fringed Microstrip Lines on Poro...

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Electromagnetic Metrology Symposium

作者： Armin Talai Frank Steinhausser Bjorn Gmeiner Achim Bittner Ulrich Rude Ulrich Schmid Robert Weigel Alexander Koelpin Institute for Electronics Engineering Friedrich-Alexander-University Erlangen-Nuremberg Institute of Sensor and Actuator Systems Vienna University of Technology Department of Computer Science 10 Friedrich-Alexander-University Erlangen-Nuremberg

ISBN: (纸本)9781467357067

Recent investigations demonstrated that porosification of LTCC enables a local modification of material properties, in particular of the effective permittivity. These studies revealed that the electric field strength is highest at the lower conductor track edges on the porosified substrate. The local field strength peaks cause substantial influence on the effectiveness of permittivity reduction due near-surface material abrasions. In this paper, the influences of these randomly fringed boundaries on electromagnetic properties are investigated for different degrees of fraying. The gained results are compared to measured screen print edges by scanning electron microscope image analysis of co-fired and post-fired gold conductors, and will contribute for reliable circuit design on porous LTCC in the future.

关键词： Conductor edge Field simulation Fringed microstrip Structural modeling LTCC Cofired Reduction of permittivity Porosification Inhomogeneous substrate

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Fault Diagnosis in Electric Drives using Machine Learning Approaches

Fault Diagnosis in Electric Drives using Machine Learning Ap...

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International Electric Machines & Drives conference

作者： Andre A. Silva Ali M. Bazzi Shalabh Gupta Laboratory of Intelligent Networks and Knowledge-Perception Systems (LINKS) ooth Engineering Center for Advanced Technology (BECAT) University of Connecticut Storrs CT USA Advanced Power Electronics and Electric Drives Lab (APEDL) Center for Clean Energy Engineering University of Connecticut Storrs CT USA

This paper applies machine learning techniques to fault diagnosis in electric motor drives. As faults in motor drives can cause safety hazards in applications such as electric traction, propulsion, aircraft, and others, it is desired to diagnose the fault, i.e., detect it and isolate it, in order to recover or engage safe-mode operation. Machine learning methods are divided into three main steps: 1) Feature extraction using Principal Component Analysis (PCA);2) Classification using the k-Nearest Neighbor (k-NN) or Probabilistic Neural Network (PNN) methods;and 3) Classifier performance evaluation using the Cross-Validation (CV) method. While electric machine, inverter, and sensor faults are introduced, the supervised learning algorithms are applied to four case studies where two fault modes occur in a current sensor, and two occur in the speed encoder. Classification accuracy, i.e., the ability to diagnose a fault, for all four cases is shown to exceed 98%. The paper also investigates a load profile used in automotive driving cycles which produces richer dynamic responses that are more interesting from an application perspective. The final goal is to implement these algorithms in real-time such that fault diagnosis can be used to isolate drive faults, especially sensor faults, and operate in a safe mode.

关键词： PCA PNN CV

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Distinguishing Tip-Toe Walking from Normal Walking Using Skeleton Data Gathered By 3D sensors

Distinguishing Tip-Toe Walking from Normal Walking Using Ske...

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RSI/ISM International conference on Robotics and Mechatronics

作者： Mohsen Ebrahimi Meysam Feghi Hadi Moradi Maryam Mirian Hamidreza Pouretemad Advanced Robotics and Intelligent Systems Laboratory CIPCE School of ECE College of Engineering University of Tehran School of Psychology Shahid Beheshti University Tehran Iran

ISBN: (纸本)9781467372350

in this paper, we propose a markerless based approach to differentiate between two different human walking gaits, specifically, the normal walking versus tip toe walking. The markerless based approaches are suitable in many applications, such as screening of autistic children from normal ones based on their body movement patterns or detecting walking irregularities. We use a 3D sensor to collect 3D skeletal data of subjects that represents their behavioral spatial data. Several features have been extracted and feature selection methods were used to determine the best subset of these features. The proposed classification approach has been implemented and tested on a group of 75 people reaching 86% CCR between tip toe walking and normal walking.

关键词： Gait Recognition Motion Capture Kinect 3D sensor Tip-toe Walking

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An Open-Source Wireless Mesh Networking Module for Environmental Monitoring

An Open-Source Wireless Mesh Networking Module for Environme...

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IEEE International Instrumentation and Measurement Technology conference

作者： Hsiao-Hsien Lin Hsi-Yuan Tsai Teng-Chieh Chan Yen-Shuo Huang Yuan-Sun Chu Yu-Chieh Chen Tai-Shan Liao Yao-Min Fang Bing-Jean Lee Huang-Chen Lee Dept. of Communications Engineering and Advanced Institute of Manufacturing with High-tech Innovations National Chung Cheng University Taiwan Instrument Technology Research Center National Applied Research Laboratories Taiwan GIS Research Center Feng Chia University Taiwan

ISBN: (纸本)9781479961153

Wireless mesh networking extends the communication range among cooperating multiple low-power wireless radio transceivers and is useful for collecting data from sensors widely distributed over a large area. By integrating an off-the-shelf wireless design, such as the XBee module, development of sensor systems with mesh networking capability can be accelerated. In this study, the design of an open-source wireless network module is introduced, which integrates the functions of network discovery, routing control, and transmission scheduling. In addition, this design is provided in an open-source format in order to promote the use of wireless mesh networking for environmental monitoring applications. Testing of the design and the proposed networking module is reported. For a 10-node implementation an average packet delivery ratio is 95.58%. The proposed system was demonstrated to have the advantages of low-cost combined with high reliability and performance. The proposed design can aid scientists to implement monitoring applications without the complications of complex wireless networking issues.

关键词： XBee wireless sensor mesh network module open-source 802.15.4 ZigBee

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A Cryogenic Mass Flow sensor

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AIP conference Proceedings 2006年第1期823卷

作者： D. M. Kocak J. F. Justak F. M. Caimi S. W. Van Sciver Advanced Technologies Group Inc Stuart Florida 34994 National High Magnetic Field Laboratory Florida State University Tallahassee Florida 32310‐3706

A sensor for determining mass flow of cryogens in spacecraft propellant management is desired by vehicle designers. Current point sensor technology is incapable of determining high pressure, high flow rate cryogenic fluid quality and mass flow rate, and has proven to be inaccurate in attempting to rapidly measure cryogen depletion. Abrupt changes in fluid quality can cause turbo‐machinery to over‐speed, potentially causing catastrophic failure. A Cryogenic Flow sensor (CFS) presented herein provides a means to avoid these failures as well as providing fluid quality data for a wide range of flow systems. Experimental CFS hardware has been able to detect the onset of two‐phase flow and the presence of debris in the flow of a surrogate fluid and has been able to discern between entrained gas bubbles and unwanted debris. In an advanced implementation, the sensor also has the potential to determine size and quantity of the contaminant. To determine the mass flow rate of the fluid propellant a non‐intrinsic method has been designed. Here we describe a combined acoustic and optical (acousto‐optic) sensor design that has the potential to provide this needed quantification in both zero‐g and ground based applications. A cryogenic sensor with these capabilities is very desirable to the cryogenic fluids management community, as well as other fluid management systems, and has many commercial applications. The paper presents both theoretical and experimental data.

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Designing Output-Power-Optimized Thermoelectric Generators via Analytic and Finite Element Method Modelling

Designing Output-Power-Optimized Thermoelectric Generators v...

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IEEE International conference on Industrial Technology

作者： F. Assion C. Fischer M. Schonhof U. Hilleringmann C. Hedayat Sensor Technology Department University of Paderborn 33098 Paderborn Germany Department of Advanced System Engineering Fraunhofer Institute for Electronic Nano-Systems 33098 Paderborn Germany

ISBN: (纸本)9781467345675

Thermoelectric generators (TEG) are capable of transforming waste heat directly into electric power. They are very reliable and do not need any kind of maintenance at all, which makes them interesting for a wide range of applications. To design specific TEG for different purposes a fast and cheap tool is needed to optimize the geometric structure based on the used materials and boundary conditions. Therefore, we tested a commercial finite element method simulation versus a self-implemented analytic calculation and compared them with real measurements. The results of the two simulations types were in good agreement to each other and near by the measured value. Beside the length of the thermocouple as a well-known design parameter, two more relevant parameters have been proposed. The thermal conduction of the hot/cold side and the geometrical matching of the n/p-doped thermoelectric material have a great influence on the device performance.

关键词： thermoelectric generators Electric generators equipment performance Conductive heat transfer thermoelectric materials geometrical construction Finite element method Thermocouple Values in measurement waste heat Electric power electrical energy

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Lessons Learned in the Creation of a Data Set for Hard/Soft Information Fusion

Lessons Learned in the Creation of a Data Set for Hard/Soft ...

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International conference on Information Fusion

作者： Marco A. Pravia Olga Babko-Malaya Michael K. Schneider James V. White Chee-Yee Chong Alan S. Willsky Advanced Information Technologies BAE Systems Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology

ISBN: (纸本)9780982443804

Recent experiences in urban operations highlight the need for automated methods to help execute the data collection and association functions in the intelligence process. Technology development in this area has been challenged by the heterogeneity of data to be processed and by the diversity of potential applications. Here, we report lessons learned during the creation of a hard/soft data set. The data set was built using "hard" physical sensor reports and "soft" documents captured during training exercises simulating urban conditions. We discuss data collection issues, and we examine the information elements that can be exploited from the data. A key product in the data set is the identification of threads of insurgent activities that were observed by both hard and soft sensing modalities. We discuss the process by which the threads were identified, including an annotation procedure that structures the text information to enable association with the hard information elements.

关键词： Human-based information HUMINT Information fusion Low-level fusion Physics-based information

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A Methodology for Embedded Classification of Heartbeats Using Random Projections 13

A Methodology for Embedded Classification of Heartbeats Usin...

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Design, Automation & Test in Europe conference & Exhibition

作者： Rubén Braojos Giovanni Ansaloni David Atienza Embedded Systems Laboratory École Polytechnique Fédérale de Lausanne Switzerland

ISBN: (纸本)9781450321532

Smart Wireless Body sensor Nodes (WBSNs) are a novel class of unobtrusive, battery-powered devices allowing the continuous monitoring and real-time interpretation of a subject's bio-signals. One of its most relevant applications is the acquisition and analysis of Electrocardiograms (ECGs). These low-power WBSN designs, while able to perform advanced signal processing to extract information on hearth conditions of subjects, are usually constrained in terms of computational power and transmission bandwidth. It is therefore beneficial to identify in the early stages of analysis which parts of an ECG acquisition are critical and activate only in these cases detailed (and computationally intensive) diagnosis algorithms. In this paper, we introduce and study the performance of a real-time optimized neuro-fuzzy classifier based on random projections, which is able to discern normal and pathological heartbeats on an embedded WBSN. Moreover, it exposes high confidence and low computational and memory requirements. Indeed, by focusing on abnormal heartbeats morphologies, we proved that a WBSN system can effectively enhance its efficiency, obtaining energy savings of as much as 63% in the signal processing stage and 68% in the subsequent wireless transmission when the proposed classifier is employed.

关键词： WBSNs ECGs WBSN

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Dynamic sensing model for accurate delectability of environmental phenomena using event wireless sensor network

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AIP conference Proceedings 2017年第1期1872卷

作者： Lial Raja Missif Mohammad M. Kadhum 1National Advanced IPv6 Center (NAv6) Universiti Sains Malaysia (USM) 11800 Pulau Pinang Malaysia 2Telecommunication Research Laboratory School of Computing Queen’s University K7L 3N6 Kingston ON Canada

Wireless sensor Network (WSN) has been widely used for monitoring where sensors are deployed to operate independently to sense abnormal phenomena. Most of the proposed environmental monitoring systems are designed based on a predetermined sensing range which does not reflect the sensor reliability, event characteristics, and the environment conditions. Measuring of the capability of a sensor node to accurately detect an event within a sensing field is of great important for monitoring applications. This paper presents an efficient mechanism for even detection based on probabilistic sensing model. Different models have been presented theoretically in this paper to examine their adaptability and applicability to the real environment applications. The numerical results of the experimental evaluation have showed that the probabilistic sensing model provides accurate observation and delectability of an event, and it can be utilized for different environment scenarios.

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