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Sample records for anatomical information fusion

  1. Image Restoration Using Functional and Anatomical Information Fusion with Application to SPECT-MRI Images

    Directory of Open Access Journals (Sweden)

    S. Benameur

    2009-01-01

    Full Text Available Image restoration is usually viewed as an ill-posed problem in image processing, since there is no unique solution associated with it. The quality of restored image closely depends on the constraints imposed of the characteristics of the solution. In this paper, we propose an original extension of the NAS-RIF restoration technique by using information fusion as prior information with application in SPECT medical imaging. That extension allows the restoration process to be constrained by efficiently incorporating, within the NAS-RIF method, a regularization term which stabilizes the inverse solution. Our restoration method is constrained by anatomical information extracted from a high resolution anatomical procedure such as magnetic resonance imaging (MRI. This structural anatomy-based regularization term uses the result of an unsupervised Markovian segmentation obtained after a preliminary registration step between the MRI and SPECT data volumes from each patient. This method was successfully tested on 30 pairs of brain MRI and SPECT acquisitions from different subjects and on Hoffman and Jaszczak SPECT phantoms. The experiments demonstrated that the method performs better, in terms of signal-to-noise ratio, than a classical supervised restoration approach using a Metz filter.

  2. Performance Evaluation of Color Models in the Fusion of Functional and Anatomical Images.

    Science.gov (United States)

    Ganasala, Padma; Kumar, Vinod; Prasad, A D

    2016-05-01

    Fusion of the functional image with an anatomical image provides additional diagnostic information. It is widely used in diagnosis, treatment planning, and follow-up of oncology. Functional image is a low-resolution pseudo color image representing the uptake of radioactive tracer that gives the important metabolic information. Whereas, anatomical image is a high-resolution gray scale image that gives structural details. Fused image should consist of all the anatomical details without any changes in the functional content. This is achieved through fusion in de-correlated color model and the choice of color model has greater impact on the fusion outcome. In the present work, suitability of different color models for functional and anatomical image fusion is studied. After converting the functional image into de-correlated color model, the achromatic component of functional image is fused with an anatomical image by using proposed nonsubsampled shearlet transform (NSST) based image fusion algorithm to get new achromatic component with all the anatomical details. This new achromatic and original chromatic channels of functional image are converted to RGB format to get fused functional and anatomical image. Fusion is performed in different color models. Different cases of SPECT-MRI images are used for this color model study. Based on visual and quantitative analysis of fused images, the best color model for the stated purpose is determined.

  3. An Improved Medical Image Fusion Algorithm for Anatomical and Functional Medical Images

    Institute of Scientific and Technical Information of China (English)

    CHEN Mei-ling; TAO Ling; QIAN Zhi-yu

    2009-01-01

    In recent years,many medical image fusion methods had been exploited to derive useful information from multimodality medical image data,but,not an appropriate fusion algorithm for anatomical and functional medical images.In this paper,the traditional method of wavelet fusion is improved and a new fusion algorithm of anatomical and functional medical images,in which high-frequency and low-frequency coefficients are studied respectively.When choosing high-frequency coefficients,the global gradient of each sub-image is calculated to realize adaptive fusion,so that the fused image can reserve the functional information;while choosing the low coefficients is based on the analysis of the neighborbood region energy,so that the fused image can reserve the anatomical image's edge and texture feature.Experimental results and the quality evaluation parameters show that the improved fusion algorithm can enhance the edge and texture feature and retain the function information and anatomical information effectively.

  4. Information integration for data fusion

    Energy Technology Data Exchange (ETDEWEB)

    Bray, O.H.

    1997-01-01

    Data fusion has been identified by the Department of Defense as a critical technology for the U.S. defense industry. Data fusion requires combining expertise in two areas - sensors and information integration. Although data fusion is a rapidly growing area, there is little synergy and use of common, reusable, and/or tailorable objects and models, especially across different disciplines. The Laboratory-Directed Research and Development project had two purposes: to see if a natural language-based information modeling methodology could be used for data fusion problems, and if so, to determine whether this methodology would help identify commonalities across areas and achieve greater synergy. The project confirmed both of the initial hypotheses: that the natural language-based information modeling methodology could be used effectively in data fusion areas and that commonalities could be found that would allow synergy across various data fusion areas. The project found five common objects that are the basis for all of the data fusion areas examined: targets, behaviors, environments, signatures, and sensors. Many of the objects and the specific facts related to these objects were common across several areas and could easily be reused. In some cases, even the terminology remained the same. In other cases, different areas had their own terminology, but the concepts were the same. This commonality is important with the growing use of multisensor data fusion. Data fusion is much more difficult if each type of sensor uses its own objects and models rather than building on a common set. This report introduces data fusion, discusses how the synergy generated by this LDRD would have benefited an earlier successful project and contains a summary information model from that project, describes a preliminary management information model, and explains how information integration can facilitate cross-treaty synergy for various arms control treaties.

  5. Structure information from fusion barriers

    Indian Academy of Sciences (India)

    S V S Sastry; S Santra

    2000-06-01

    It is shown that the analysis of fusion barrier distributions is not always an unambiguous test or a ‘fingerprint’ of the structure information of the colliding nuclei. Examples are presented with same fusion barrier distributions for nuclei having different structures. The fusion excitation functions for 16O+208Pb, using the coupled reaction channel (CRC) method and correct structure information, have been analysed. The barrier distributions derived from these excitation functions including many of the significant channels are featureless, although these channels have considerable effects on the fusion excitation function. However, a simultaneous analysis of the fusion, elastic and quasi-elastic channels would fix the structure and the reaction unambiguously

  6. Human-Centered Information Fusion

    CERN Document Server

    Hall, David L

    2010-01-01

    Information fusion refers to the merging of information from disparate sources with differing conceptual, contextual and typographical representations. Rather than focusing on traditional data fusion applications which have been mainly concerned with physical military targets, this unique resource explores new human-centered trends, such as locations, identity, and interactions of individuals and groups (social networks). Moreover, the book discusses two new major sources of information: human observations and web-based information.This cutting-edge volume presents a new view of multi-sensor d

  7. Information fusion for palmprint authentication

    Science.gov (United States)

    Wu, Xiangqian; Wang, Kuanquan; Zhang, David

    2006-04-01

    A palmprint can be represented using different features and the different representations reflect the different characteristic of a palmprint. Fusion of multiple palmprint features may enhance the performance of a palmprint authentication system. This paper investigates the fusion of two types of palmprint information: the phase (called PalmCode) and the orientation (called OrientationCode). The PalmCode is extracted using the 2-D Gabor filters based algorithm and the OrientationCode is computed using several directional templates. Then several fusion strategies are investigated and compared. The experimental results show that the fusion of the PalmCode and OrientationCode using the Product, Sum and Weighted Sum strategies can greatly improve the accuracy of palmprint authentication, which is up to 99.6%.

  8. Data Fusion in Information Retrieval

    CERN Document Server

    Wu, Shengli

    2012-01-01

    The technique of data fusion has been used extensively in information retrieval due to the complexity and diversity of tasks involved such as web and social networks, legal, enterprise, and many others. This book presents both a theoretical and empirical approach to data fusion. Several typical data fusion algorithms are discussed, analyzed and evaluated. A reader will find answers to the following questions, among others: -          What are the key factors that affect the performance of data fusion algorithms significantly? -          What conditions are favorable to data fusion algorithms? -          CombSum and CombMNZ, which one is better? and why? -          What is the rationale of using the linear combination method? -          How can the best fusion option be found under any given circumstances?

  9. High Level Information Fusion (HLIF) with nested fusion loops

    Science.gov (United States)

    Woodley, Robert; Gosnell, Michael; Fischer, Amber

    2013-05-01

    Situation modeling and threat prediction require higher levels of data fusion in order to provide actionable information. Beyond the sensor data and sources the analyst has access to, the use of out-sourced and re-sourced data is becoming common. Through the years, some common frameworks have emerged for dealing with information fusion—perhaps the most ubiquitous being the JDL Data Fusion Group and their initial 4-level data fusion model. Since these initial developments, numerous models of information fusion have emerged, hoping to better capture the human-centric process of data analyses within a machine-centric framework. 21st Century Systems, Inc. has developed Fusion with Uncertainty Reasoning using Nested Assessment Characterizer Elements (FURNACE) to address challenges of high level information fusion and handle bias, ambiguity, and uncertainty (BAU) for Situation Modeling, Threat Modeling, and Threat Prediction. It combines JDL fusion levels with nested fusion loops and state-of-the-art data reasoning. Initial research has shown that FURNACE is able to reduce BAU and improve the fusion process by allowing high level information fusion (HLIF) to affect lower levels without the double counting of information or other biasing issues. The initial FURNACE project was focused on the underlying algorithms to produce a fusion system able to handle BAU and repurposed data in a cohesive manner. FURNACE supports analyst's efforts to develop situation models, threat models, and threat predictions to increase situational awareness of the battlespace. FURNACE will not only revolutionize the military intelligence realm, but also benefit the larger homeland defense, law enforcement, and business intelligence markets.

  10. Information Fusion in the Immune System

    CERN Document Server

    Twycross, Jamie

    2010-01-01

    Biologically-inspired methods such as evolutionary algorithms and neural networks are proving useful in the field of information fusion. Artificial Immune Systems (AISs) are a biologically-inspired approach which take inspiration from the biological immune system. Interestingly, recent research has show how AISs which use multi-level information sources as input data can be used to build effective algorithms for real time computer intrusion detection. This research is based on biological information fusion mechanisms used by the human immune system and as such might be of interest to the information fusion community. The aim of this paper is to present a summary of some of the biological information fusion mechanisms seen in the human immune system, and of how these mechanisms have been implemented as AISs

  11. Real Time Information Fusion in Military Systems

    Directory of Open Access Journals (Sweden)

    E. Bhagiratharao

    1990-01-01

    Full Text Available With the proliferation of sensors on platforms like battle ships and aircraft, the information to be handled by the battlefield commanders has significantly increased in the recent time. From a deluge of information flowing from sensors, the battlefield commander is required to make situation assessment in real-time and take appropriate action. Recent studies by cognitive scientists have indicated that decision making by individuals as well as a team suffer from several biases. For these two reasons, the battlefield commanders need assistance of real-time information fusion systems to take objective assessment of highly dynamic battle situation in real-time information fusion systems to take objective assessment of a highly dynamic battle situation in real-time. The real-time information fusion systems at a single platform level as well as that applicable for geographically distributed platforms is discussed in detail in this paper. It was concluded that by carrying out these activities at the platform level as well as at 'global' level involving several platforms, the limitations in performance of any sensor due to propagation effects or due to enemy counter measures can be significantly minimised or totally eliminated. At the same time the functional effectiveness of each sensor onboard different platforms, becomes better than when it had to operate autonomously within the real-time information fusion facility. By carrying out global real-time information fusion activity in a theatre of war, all the platforms operating in the area will have the benefit of the best sensor in that area on each aspect of the capability. A few examples of real-time information fusion system are also discussed.

  12. Relationship Between Track Fusion Solutions with and without Feedback Information

    Institute of Scientific and Technical Information of China (English)

    何友; 熊伟

    2003-01-01

    In distributed multisensor data fusion systems, there are two types of track fusion approaches. One is sensor track fusion with feedback information, the other is without feedback information. This paper proves that the solutions of sensor track fusion with and without feedback information are both optimal and equal.

  13. Measures of information for multilevel data fusion

    Science.gov (United States)

    Oxenham, Martin G.; Kewley, Douglas J.; Nelson, Mark J.

    1996-06-01

    In many commercial and military activities such as manufacturing, robotics, surveillance, target tracking and military command and control, information may be gathered by a variety of sources. The types of sources which may be used cover a broad spectrum and the data collected may be either numerical or linguistic in nature. Data fusion is the process in which data from multiple sources are combined to provide enhanced information quality and availability over that which is available from any individual source. The question is how to assess these enhancements. Using the U.S. JDL Model, the process of data fusion can be divided into several distinct levels. The first three levels are object refinement, situation refinement and threat refinement. Finally, at the fourth level (process refinement) the performance of the system is monitored to enable product improvement and sensor suite management. This monitoring includes the use of measures of information from the realm of generalized information theory to assess the improvements or degradation due to the fusion processing. The premise is that decreased uncertainty equates to increased information. At each level, the uncertainty may be represented in different ways. In this paper we give an overview of the existing measures of uncertainty and information, and propose some new measures for the various levels of the data fusion process.

  14. Multisource information fusion for logistics

    Science.gov (United States)

    Woodley, Robert; Petrov, Plamen; Noll, Warren

    2011-05-01

    Current Army logistical systems and databases contain massive amounts of data that need an effective method to extract actionable information. The databases do not contain root cause and case-based analysis needed to diagnose or predict breakdowns. A system is needed to find data from as many sources as possible, process it in an integrated fashion, and disseminate information products on the readiness of the fleet vehicles. 21st Century Systems, Inc. introduces the Agent- Enabled Logistics Enterprise Intelligence System (AELEIS) tool, designed to assist logistics analysts with assessing the availability and prognostics of assets in the logistics pipeline. AELEIS extracts data from multiple, heterogeneous data sets. This data is then aggregated and mined for data trends. Finally, data reasoning tools and prognostics tools evaluate the data for relevance and potential issues. Multiple types of data mining tools may be employed to extract the data and an information reasoning capability determines what tools are needed to apply them to extract information. This can be visualized as a push-pull system where data trends fire a reasoning engine to search for corroborating evidence and then integrate the data into actionable information. The architecture decides on what reasoning engine to use (i.e., it may start with a rule-based method, but, if needed, go to condition based reasoning, and even a model-based reasoning engine for certain types of equipment). Initial results show that AELEIS is able to indicate to the user of potential fault conditions and root-cause information mined from a database.

  15. A stochastic approach for automatic registration and fusion of left atrial electroanatomic maps with 3D CT anatomical images

    Energy Technology Data Exchange (ETDEWEB)

    Cristoforetti, Alessandro [Department of Physics, University of Trento, 38050 Povo-Trento (Italy); Mase, Michela [Department of Physics, University of Trento, 38050 Povo-Trento (Italy); Faes, Luca [Department of Physics, University of Trento, 38050 Povo-Trento (Italy); Centonze, Maurizio [Division of Radiology, S Chiara Hospital, 38100 Trento (Italy); Greco, Maurizio Del [Division of Cardiology, S Chiara Hospital, 38100 Trento (Italy); Antolini, Renzo [Department of Physics, University of Trento, 38050 Povo-Trento (Italy); Nollo, Giandomenico [Department of Physics, University of Trento, 38050 Povo-Trento (Italy); Ravelli, Flavia [Department of Physics, University of Trento, 38050 Povo-Trento (Italy)

    2007-10-21

    The integration of electroanatomic maps with highly resolved computed tomography cardiac images plays an important role in the successful planning of the ablation procedure of arrhythmias. In this paper, we present and validate a fully-automated strategy for the registration and fusion of sparse, atrial endocardial electroanatomic maps (CARTO maps) with detailed left atrial (LA) anatomical reconstructions segmented from a pre-procedural MDCT scan. Registration is accomplished by a parameterized geometric transformation of the CARTO points and by a stochastic search of the best parameter set which minimizes the misalignment between transformed CARTO points and the LA surface. The subsequent fusion of electrophysiological information on the registered CT atrium is obtained through radial basis function interpolation. The algorithm is validated by simulation and by real data from 14 patients referred to CT imaging prior to the ablation procedure. Results are presented, which show the validity of the algorithmic scheme as well as the accuracy and reproducibility of the integration process. The obtained results encourage the application of the integration method in post-intervention ablation assessment and basic AF research and suggest the development for real-time applications in catheter guiding during ablation intervention.

  16. National Center for Multisource Information Fusion

    Science.gov (United States)

    2009-04-01

    situation, threat, and impact assessment ( JDL levels 2 and 3) as well as sensor management ( JDL level 4) and visualization. While much of the research...Situation Awareness, JDL , Modeling and Simulation, Visualization 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT UU 18. NUMBER OF...appropriate sections.      3    2 Information Fusion Research and Development (4.1.1)    The  Joint Director’s  Laboratory  ( JDL )  fusion model

  17. Modeling decisions information fusion and aggregation operators

    CERN Document Server

    Torra, Vicenc

    2007-01-01

    Information fusion techniques and aggregation operators produce the most comprehensive, specific datum about an entity using data supplied from different sources, thus enabling us to reduce noise, increase accuracy, summarize and extract information, and make decisions. These techniques are applied in fields such as economics, biology and education, while in computer science they are particularly used in fields such as knowledge-based systems, robotics, and data mining. This book covers the underlying science and application issues related to aggregation operators, focusing on tools used in practical applications that involve numerical information. Starting with detailed introductions to information fusion and integration, measurement and probability theory, fuzzy sets, and functional equations, the authors then cover the following topics in detail: synthesis of judgements, fuzzy measures, weighted means and fuzzy integrals, indices and evaluation methods, model selection, and parameter extraction. The method...

  18. Approach to multisensor/multilook information fusion

    Science.gov (United States)

    Myler, Harley R.; Patton, Ronald

    1997-07-01

    We are developing a multi-sensor, multi-look Artificial Intelligence Enhanced Information Processor (AIEIP) that combines classification elements of geometric hashing, neural networks and evolutionary algorithms in a synergistic combination. The fusion is coordinated using a piecewise level fusion algorithm that operates on probability data from statistics of the individual classifiers. Further, the AIEIP incorporates a knowledge-based system to aid a user in evaluating target data dynamically. The AIEIP is intended as a semi-autonomous system that not only fuses information from electronic data sources, but also has the capability to include human input derived from battlefield awareness and intelligence sources. The system would be useful in either advanced reconnaissance information fusion tasks where multiple fixed sensors and human observer inputs must be combined or for a dynamic fusion scenario incorporating an unmanned vehicle swarm with dynamic, multiple sensor data inputs. This paper represents our initial results from experiments and data analysis using the individual components of the AIEIP on FLIR target sets of ground vehicles.

  19. Bayesian information fusion networks for biosurveillance applications.

    Science.gov (United States)

    Mnatsakanyan, Zaruhi R; Burkom, Howard S; Coberly, Jacqueline S; Lombardo, Joseph S

    2009-01-01

    This study introduces new information fusion algorithms to enhance disease surveillance systems with Bayesian decision support capabilities. A detection system was built and tested using chief complaints from emergency department visits, International Classification of Diseases Revision 9 (ICD-9) codes from records of outpatient visits to civilian and military facilities, and influenza surveillance data from health departments in the National Capital Region (NCR). Data anomalies were identified and distribution of time offsets between events in the multiple data streams were established. The Bayesian Network was built to fuse data from multiple sources and identify influenza-like epidemiologically relevant events. Results showed increased specificity compared with the alerts generated by temporal anomaly detection algorithms currently deployed by NCR health departments. Further research should be done to investigate correlations between data sources for efficient fusion of the collected data.

  20. Information for fusion management and performance estimation

    Science.gov (United States)

    Mahler, Ronald P. S.

    1998-07-01

    This paper describes a unified, theoretically rigorous approach for measuring the performance of data fusion algorithms, using information theory. The proposed approach is based on 'finite-set statistics' (FISST), a direct generalization of conventional statistics to multisource, multitarget problems. FISST makes it possible to directly extend Shannon-type information metrics to multisource, multitarget problems. This can be done, moreover, in such a way that mathematical 'information' can be defined and measured even though an evaluator/end-user may have conflicting or even subjective definitions of what 'informative' means. The result is a scientifically defensible means of (1) comparing the performance of two algorithms with respect to a 'level playing field' when ground truth is known; (2) estimating the internal on-the-fly effectiveness of a given algorithm when ground truth is not known; and (3) dynamically choosing between algorithms (or different modes of a multi-mode algorithm) on the basis of the information content they provide.

  1. A Framework for Multiple and Heterogeneous Earthquake Disaster Information Fusion

    Directory of Open Access Journals (Sweden)

    Jinghai Xu

    2011-03-01

    Full Text Available To realize the fusion of multiple and heterogeneous earthquake disaster information and get effective disaster information, situation and characteristics are addressed on different earthquake disaster information acquiring methods, in which some new earthquake disaster information acquiring methods are described. A fusion architecture of multiple and heterogeneous disaster information is put forward, including data level, fusion level and application level. And function principle of each level is described. Finally key technologies and realization methods in the fusion architecture are expounded, which are transformation and match of multiple disaster information and coding of the information.

  2. A Risk Profile for Information Fusion Algorithms

    Directory of Open Access Journals (Sweden)

    Kenric P. Nelson

    2011-08-01

    Full Text Available E.T. Jaynes, originator of the maximum entropy interpretation of statistical mechanics, emphasized that there is an inevitable trade-off between the conflicting requirements of robustness and accuracy for any inferencing algorithm. This is because robustness requires discarding of information in order to reduce the sensitivity to outliers. The principal of nonlinear statistical coupling, which is an interpretation of the Tsallis entropy generalization, can be used to quantify this trade-off. The coupled-surprisal, -lnκ(p≡-(pκ-1/κ , is a generalization of Shannon surprisal or the logarithmic scoring rule, given a forecast p of a true event by an inferencing algorithm. The coupling parameter κ=1-q, where q is the Tsallis entropy index, is the degree of nonlinear coupling between statistical states. Positive (negative values of nonlinear coupling decrease (increase the surprisal information metric and thereby biases the risk in favor of decisive (robust algorithms relative to the Shannon surprisal (κ=0. We show that translating the average coupled-surprisal to an effective probability is equivalent to using the generalized mean of the true event probabilities as a scoring rule. The metric is used to assess the robustness, accuracy, and decisiveness of a fusion algorithm. We use a two-parameter fusion algorithm to combine input probabilities from N sources. The generalized mean parameter ‘alpha’ varies the degree of smoothing and raising to a power Νβ with β between 0 and 1 provides a model of correlation.

  3. Information fusion for the Gray Zone

    Science.gov (United States)

    Fenstermacher, Laurie

    2016-05-01

    United States Special Operations Command (SOCOM) recently published a white paper describing the "Gray Zone", security challenges characterized by "ambiguity about the nature of the conflict, opacity of the parties involved…competitive interactions among and within state and non-state actors that fall between the traditional war and peace duality."1 Ambiguity and related uncertainty about actors, situations, relationships, and intent require new approaches to information collection, processing and fusion. General Votel, the current SOCOM commander, during a recent speech on "Operating in the Gray Zone" emphasized that it would be important to get left of the next crises and stated emphatically, "to do that we must understand the Human Domain."2 This understanding of the human domain must come from making meaning based on different perspectives, including the "emic" or first person/participant and "etic" or third person/observer perspectives. Much of the information currently collected and processed is etic. Incorporation and fusion with the emic perspective enables forecasting of behaviors/events and provides context for etic information (e.g., video).3 Gray zone challenges are perspective-dependent; for example, the conflict in Ukraine is interpreted quite differently by Russia, the US and Ukraine. Russia views it as war, necessitating aggressive action, the US views it as a security issue best dealt with by economic sanctions and diplomacy and the Ukraine views it as a threat to its sovereignty.4 General Otto in the Air Force ISR 2023 vision document stated that Air Force ISR is needed to anticipate strategic surprise.5 Anticipatory analysis enabling getting left of a crisis inherently requires a greater focus on information sources that elucidate the human environment as well as new methods that elucidate not only the "who's" and "what's", but the "how's and "why's," extracting features and/or patterns and subtle cues useful for forecasting behaviors and

  4. Information Fusion Methods in Computer Pan-vision System

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Aiming at concrete tasks of information fusion in computer pan-vision (CPV) system, information fusion methods are studied thoroughly. Some research progresses are presented. Recognizing of vision testing object is realized by fusing vision information and non-vision auxiliary information, which contain recognition of material defects, intelligent robot's autonomous recognition for parts and computer to defect image understanding and recognition automatically.

  5. Information fusion for cyber-security analytics

    CERN Document Server

    Karabatis, George; Aleroud, Ahmed

    2017-01-01

    This book highlights several gaps that have not been addressed in existing cyber security research. It first discusses the recent attack prediction techniques that utilize one or more aspects of information to create attack prediction models. The second part is dedicated to new trends on information fusion and their applicability to cyber security; in particular, graph data analytics for cyber security, unwanted traffic detection and control based on trust management software defined networks, security in wireless sensor networks & their applications, and emerging trends in security system design using the concept of social behavioral biometric. The book guides the design of new commercialized tools that can be introduced to improve the accuracy of existing attack prediction models. Furthermore, the book advances the use of Knowledge-based Intrusion Detection Systems (IDS) to complement existing IDS technologies. It is aimed towards cyber security researchers. .

  6. Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information

    DEFF Research Database (Denmark)

    Hansen, Sofie Therese; Winkler, Irene; Hansen, Lars Kai

    2015-01-01

    SPoC), to not only use functional but also anatomical information. The goal is to extract correlated source components from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Anatomical information enters our proposed extension to mSPoC via the forward model, which relates the activity...

  7. Primary exploration of nonlinear information fusion control theory

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    By introducing information fusion techniques into a control field, a new theory of information fusion control (IFC) is proposed. Based on the theory of information fusion estimation, optimal control of nonlinear discrete control system is investigated. All information on control strategy, including ideal control strategy, expected object trajectory and dynamics of system, are regarded as measuring information of control strategy. Therefore, the problem of optimal control is transferred into the one of information fusion estimation. Firstly, the nonlinear information fusion estimation theorems are described. Secondly, an algorithm of nonlinear IFC theory is detailedly deduced. Finally, the simulation results of manipulator shift control are given, which show the feasibility and effectiveness of the presented algorithm.

  8. Recognition of robot-soccer in point of information fusion

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Summary of typical information fusion systems, synthesis analysis of Robot-Soccer's architecture, ecognition of its characteristic and key technique are given. The result is prompted that Robot-Soccer can be treated as a platform of the information fusion.

  9. A PRELIMINARY STUDY ON COMPARISON AND FUSION OF METABOLIC IMAGES OF PET WITH ANATOMIC IMAGES OF CT AND MRI

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Objective. To compare and match metabolic images of PET with anatomic images of CT and MRI. Methods. The CT or MRI images of the patients were obtained through a photo scanner, and then transferred to the remote workstation of PET scanner with a floppy disk. A fusion method was developed to match the 2-dimensional CT or MRI slices with the correlative slices of 3-dimensional volume PET images. Results. Twenty- nine metabolically changed foci were accurately localized in 21 epilepsy patients' MRI images, while MRI alone had only 6 true positive findings. In 53 cancer or suspicious cancer patients, 53 positive lesions detected by PET were compared and matched with the corresponding lesions in CT or MRI images, in which 10 lesions were missed. On the other hand, 23 lesions detected from the patients' CT or MRI images were negative or with low uptake in the PET images, and they were finally proved as benign. Conclusions. Comparing and matching metabolic images with anatomic images helped obtain a full understanding about the lesion and its peripheral structures. The fusion method was simple, practical and useful for localizing metabolically changed lesions.

  10. Distributed Fusion in Sensor Networks with Information Genealogy

    Science.gov (United States)

    2011-06-28

    1 llh International Conference on Information fusion. [2] KC Chang, CY Chong , and Shozo Mori, "On Scalable Distributed Sensor fusion," in Proc. 11...2011. [8] KC Chang, Chee-Yee Chong , and Shozo Mori, "Analytical and Computational Evaluation of Scalable Distributed Fusion Algorithms," IEEE Trans...Zhejiang University, Hang/. hou , China. He received the M.S. and Ph.D. in operations research from George Mason University, Fairfax, VA, in 2003 and

  11. Multi-aspect candidates for repositioning: data fusion methods using heterogeneous information sources.

    Science.gov (United States)

    Arany, Á; Bolgár, B; Balogh, B; Antal, P; Mátyus, P

    2013-01-01

    Drug repositioning, an innovative therapeutic application of an old drug, has received much attention as a particularly costeffective strategy in drug R&D Recent work has indicated that repositioning can be promoted by utilizing a wide range of information sources, including medicinal chemical, target, mechanism, main and side-effect-related information, and also bibliometric and taxonomical fingerprints, signatures and knowledge bases. This article describes the adaptation of a conceptually novel, more efficient approach for the identification of new possible therapeutic applications of approved drugs and drug candidates, based on a kernel-based data fusion method. This strategy includes (1) the potentially multiple representation of information sources, (2) the automated weighting and statistically optimal combination of information sources, and (3) the automated weighting of parts of the query compounds. The performance was systematically evaluated by using Anatomical Therapeutic Chemical Classification System classes in a cross-validation framework. The results confirmed that kernel-based data fusion can integrate heterogeneous information sources significantly better than standard rank-based fusion can, and this method provides a unique solution for repositioning; it can also be utilized for de novo drug discovery. The advantages of kernel-based data fusion are illustrated with examples and open problems that are particularly relevant for pharmaceutical applications.

  12. An Innovative Thinking-Based Intelligent Information Fusion Algorithm

    Directory of Open Access Journals (Sweden)

    Huimin Lu

    2013-01-01

    Full Text Available This study proposes an intelligent algorithm that can realize information fusion in reference to the relative research achievements in brain cognitive theory and innovative computation. This algorithm treats knowledge as core and information fusion as a knowledge-based innovative thinking process. Furthermore, the five key parts of this algorithm including information sense and perception, memory storage, divergent thinking, convergent thinking, and evaluation system are simulated and modeled. This algorithm fully develops innovative thinking skills of knowledge in information fusion and is a try to converse the abstract conception of brain cognitive science to specific and operable research routes and strategies. Furthermore, the influences of each parameter of this algorithm on algorithm performance are analyzed and compared with those of classical intelligent algorithms trough test. Test results suggest that the algorithm proposed in this study can obtain the optimum problem solution by less target evaluation times, improve optimization effectiveness, and achieve the effective fusion of information.

  13. A Rough Neural Network Algorithm for multisensor Information Fusion

    Directory of Open Access Journals (Sweden)

    Xiaohui Chen

    2012-10-01

    Full Text Available The multisensor information fusion is a key issue for multisensor system. One of its difficulties lies in the switching of the state of sensor clusters. That is, which direction should the sensor information been fused into at a given moment? An algorithm of multisensor information fusion based on rough set and neural network was proposed in this paper. Firstly, the typical clustering distributions of 54 sensors within one day were regarded as sample space. The rough set was used for access of knowledge to make the decision table of the "data - fusion distribution". Next, the redundant properties and samples of information in one month were removed using the method of knowledge reduction of rough set. Then, the neural network was applied for clustering and analyzing to form the distribution rules of multisensor information fusion. Finally, the rough neural fusion algorithm, the neural quotient space fusion algorithm and word computing fusion algorithm are simulated and analyzed. The results show that the model and algorithm proposed in the paper are efficient in classification and rapid in sensor clustering distribution decide.

  14. Exploration of Rural Informatization and Urban-rural Information Fusion

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    Based on the status quo of rural informatization and information service,this article conducts analysis and discussion of problems in rural informatization and urban-rural information fusion,using statistics. And corresponding countermeasures are put forward as follows: building rural information platform; strengthening information literacy training in rural areas and cultivating new farmers; making information network serve production and operation to increase jobs and income for farmers; developing rural e-commerce; enhancing network information security and prevention.

  15. Performance measure for image fusion considering region information

    Institute of Scientific and Technical Information of China (English)

    LIU Gang; L(U) Xue-qin

    2007-01-01

    An objective performance measure for image fusion considering region information is proposed. The measure not only reflects how much the pixel level information that fused image takes from the source image, but also considers the region information between source images and fused image. The measure is meaningful and explicit. Several simulations were conducted to show that it accords well with the subjective evaluations.

  16. Information fusion measures of effectiveness (MOE) for decision support

    Science.gov (United States)

    Blasch, Erik P.; Breton, Richard; Valin, Pierre

    2011-06-01

    For decades, there have been discussions on measures of merits (MOM) that include measures of effectiveness (MOE) and measures of performance (MOP) for system-level performance. As the amount of sensed and collected data becomes increasingly large, there is a need to look at the architectures, metrics, and processes that provide the best methods for decision support systems. In this paper, we overview some information fusion methods in decision support and address the capability to measure the effects of the fusion products on user functions. The current standard Information Fusion model is the Data Fusion Information Group (DFIG) model that specifically addresses the needs of the user in an information fusion system. Decision support implies that information methods augment user decision making as opposed to the machine making the decision and displaying it to user. We develop a list of suggested measures of merits that facilitate decision support decision support Measures of Effectiveness (MOE) metrics of quality, information gain, and robustness, from the analysis based on the measures of performance (MOPs) of timeliness, accuracy, confidence, throughput, and cost. We demonstrate in an example with motion imagery to support the MOEs of quality (time/decision confidence plots), information gain (completeness of annotated imagery for situation awareness), and robustness through analysis of imagery over time and repeated looks for enhanced target identification confidence.

  17. High-Level Information Fusion Management and Systems Design

    CERN Document Server

    Blasch, Erik; Lambert, Dale

    2012-01-01

    High-level information fusion is the ability of a fusion system to capture awareness and complex relations, reason over past and future events, utilize direct sensing exploitations and tacit reports, and discern the usefulness and intention of results to meet system-level goals. This authoritative book serves a practical reference for developers, designers, and users of data fusion services that must relate the most recent theory to real-world applications. This unique volume provides alternative methods to represent and model various situations and describes design component implementations o

  18. Information fusion under consideration of conflicting input signals

    CERN Document Server

    Mönks, Uwe

    2017-01-01

    This work proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) and the µBalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. In addition, a sensor defect detection method, which is based on the continuous monitoring of sensor reliabilities, is presented. The performances of the contributions are shown by their evaluation in the scope of both a publicly available data set and a machine condition monitoring application under laboratory conditions. Here, the MACRO system yields the best results compared to state-of-the-art fusion mechanisms. The author Dr.-Ing. Uwe Mönks studied Electrical Engineering and Information Technology at the OWL University of Applied Sciences (Lemgo), Halmstad University (Sweden), and Aalborg University (Denmark). Since 2009 he is employed at the Institute Industrial IT (inIT) as research associate with project leading responsibilities. During th...

  19. Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information

    DEFF Research Database (Denmark)

    Hansen, Sofie Therese; Winkler, Irene; Hansen, Lars Kai;

    2015-01-01

    SPoC), to not only use functional but also anatomical information. The goal is to extract correlated source components from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Anatomical information enters our proposed extension to mSPoC via the forward model, which relates the activity...... on cortex level to the EEG sensors. The augmented mSPoC is shown to outperform the original version in realistic simulations where the signal to noise ratio is low or where training epochs are scarce....

  20. Decisions-to-Data using Level 5 information fusion

    Science.gov (United States)

    Blasch, Erik

    2014-06-01

    Over the last decade, there has been interest in presenting information fusion solutions to the user and ways to incorporate visualization, interaction, and command and control. In this paper, we explore Decisions-to-Data (D2D) in information fusion design: (1) sensing: from data to information (D2I) processing, (2) reporting: from human computer interaction (HCI) visualizations to user refinement (H2U), and (3) disseminating: from collected to resourced (C2R) information management. D2I supports net-centric intelligent situation awareness that includes processing of information from non-sensor resources for mission effectiveness. H2U reflects that completely automated systems are not realizable requiring Level 5 user refinement for efficient decision making. Finally, C2R moves from immediate data collection to fusion of information over an enterprise (e.g., data mining, database queries and storage, and source analysis for pedigree). By using D2I, H2U, and C2R concepts, they serve as informative themes for future complex information fusion interoperability standards, integration of man and machines, and efficient networking for distribution user situation understanding.

  1. Counter-intuitive Cases of Data Fusion in Information Retrieval.

    Science.gov (United States)

    Ibraev, Ulukbek; Kantor, Paul; Ng, K. B.

    2001-01-01

    Aspects of Data Fusion (DF) for information retrieval are explored. Based on a geometrical model of DF, it is shown that in the ideal case, performance of DF for a pair of information retrieval schemes may be approximated by a quadratic polynomial. Compares counter-intuitive cases of DF with cases that behave according to the geometric model. (AEF)

  2. Fusion of Hard and Soft Information in Nonparametric Density Estimation

    Science.gov (United States)

    2015-06-10

    estimation exploiting, in concert, hard and soft information. Although our development, theoretical and numerical, makes no distinction based on sample...Fusion of Hard and Soft Information in Nonparametric Density Estimation∗ Johannes O. Royset Roger J-B Wets Department of Operations Research...univariate density estimation in situations when the sample ( hard information) is supplemented by “soft” information about the random phenomenon. These

  3. Advances in statistical multisource-multitarget information fusion

    CERN Document Server

    Mahler, Ronald PS

    2014-01-01

    This is the sequel to the 2007 Artech House bestselling title, Statistical Multisource-Multitarget Information Fusion. That earlier book was a comprehensive resource for an in-depth understanding of finite-set statistics (FISST), a unified, systematic, and Bayesian approach to information fusion. The cardinalized probability hypothesis density (CPHD) filter, which was first systematically described in the earlier book, has since become a standard multitarget detection and tracking technique, especially in research and development.Since 2007, FISST has inspired a considerable amount of research

  4. On Breaching Enterprise Data Privacy Through Adversarial Information Fusion

    CERN Document Server

    Ganta, Srivatsava Ranjit

    2008-01-01

    Data privacy is one of the key challenges faced by enterprises today. Anonymization techniques address this problem by sanitizing sensitive data such that individual privacy is preserved while allowing enterprises to maintain and share sensitive data. However, existing work on this problem make inherent assumptions about the data that are impractical in day-to-day enterprise data management scenarios. Further, application of existing anonymization schemes on enterprise data could lead to adversarial attacks in which an intruder could use information fusion techniques to inflict a privacy breach. In this paper, we shed light on the shortcomings of current anonymization schemes in the context of enterprise data. We define and experimentally demonstrate Web-based Information- Fusion Attack on anonymized enterprise data. We formulate the problem of Fusion Resilient Enterprise Data Anonymization and propose a prototype solution to address this problem.

  5. One decade of the Data Fusion Information Group (DFIG) model

    Science.gov (United States)

    Blasch, Erik

    2015-05-01

    The revision of the Joint Directors of the Laboratories (JDL) Information Fusion model in 2004 discussed information processing, incorporated the analyst, and was coined the Data Fusion Information Group (DFIG) model. Since that time, developments in information technology (e.g., cloud computing, applications, and multimedia) have altered the role of the analyst. Data production has outpaced the analyst; however the analyst still has the role of data refinement and information reporting. In this paper, we highlight three examples being addressed by the DFIG model. One example is the role of the analyst to provide semantic queries (through an ontology) so that vast amount of data available can be indexed, accessed, retrieved, and processed. The second idea is reporting which requires the analyst to collect the data into a condensed and meaningful form through information management. The last example is the interpretation of the resolved information from data that must include contextual information not inherent in the data itself. Through a literature review, the DFIG developments in the last decade demonstrate the usability of the DFIG model to bring together the user (analyst or operator) and the machine (information fusion or manager) in a systems design.

  6. Exploring the human body space: A geographical information system based anatomical atlas

    Directory of Open Access Journals (Sweden)

    Antonio Barbeito

    2016-06-01

    Full Text Available Anatomical atlases allow mapping the anatomical structures of the human body. Early versions of these systems consisted of analogical representations with informative text and labeled images of the human body. With computer systems, digital versions emerged and the third and fourth dimensions were introduced. Consequently, these systems increased their efficiency, allowing more realistic visualizations with improved interactivity and functionality. The 4D atlases allow modeling changes over time on the structures represented. The anatomical atlases based on geographic information system (GIS environments allow the creation of platforms with a high degree of interactivity and new tools to explore and analyze the human body. In this study we expand the functions of a human body representation system by creating new vector data, topology, functions, and an improved user interface. The new prototype emulates a 3D GIS with a topological model of the human body, replicates the information provided by anatomical atlases, and provides a higher level of functionality and interactivity. At this stage, the developed system is intended to be used as an educational tool and integrates into the same interface the typical representations of surface and sectional atlases.

  7. Spatial and temporal information fusion for crop condition monitoring

    Science.gov (United States)

    Crop growth condition information is critical for crop management and yield estimation. In order to monitor crop conditions from space, high spatial and temporal resolution remote sensing data are required. Data fusion approach provides a way to generate such data set from multiple remote sensing da...

  8. Information Fusion in Biometrics: A Case Study in Fingerprint

    Institute of Scientific and Technical Information of China (English)

    Wang,Xiaoyan; Fu,Desheng

    2005-01-01

    Biometrics is an emerging topic in the field of signal processing. Multibiometric systems can improve the performance of identification by integrating information presented by single or multiple biometric indicators and a lot of researchers are working on it. As fingerprints is one of the most studied and popular biometrics, researches that have approached the challenges in fingerprints from an information fusion perspective is provided in this paper.

  9. A risk profile for information fusion algorithms

    CERN Document Server

    Nelson, Kenric P; Landau, Herbert

    2011-01-01

    E.T. Jaynes emphasized that there is an inevitable trade-off between the conflicting requirements of robustness and accuracy for any inferencing algorithm. This is because robustness requires discarding of information in order to reduce the sensitivity to outliers. The principal of nonlinear statistical coupling, which is an interpretation of the Tsallis entropy generalization, can be used to quantify this trade-off. The coupled-surprisal, -ln_k (p)=-(p^k-1)/k, is a generalization of Shannon surprisal or the logarithmic scoring rule, given a forecast p of a true event by an inferencing algorithm. The coupling parameter k=1-q, where q is the Tsallis entropy index, is the degree of nonlinear coupling between statistical states. Positive (negative) values of nonlinear coupling decrease (increase) the surprisal information metric and thereby biases the risk in favor of decisive (robust) algorithms relative to the Shannon surprisal (k=0). We show that translating the average coupled-surprisal to an effective proba...

  10. Multimodal medical information retrieval with unsupervised rank fusion.

    Science.gov (United States)

    Mourão, André; Martins, Flávio; Magalhães, João

    2015-01-01

    Modern medical information retrieval systems are paramount to manage the insurmountable quantities of clinical data. These systems empower health care experts in the diagnosis of patients and play an important role in the clinical decision process. However, the ever-growing heterogeneous information generated in medical environments poses several challenges for retrieval systems. We propose a medical information retrieval system with support for multimodal medical case-based retrieval. The system supports medical information discovery by providing multimodal search, through a novel data fusion algorithm, and term suggestions from a medical thesaurus. Our search system compared favorably to other systems in 2013 ImageCLEFMedical.

  11. AN INFORMATION FUSION METHOD FOR SENSOR DATA RECTIFICATION

    Institute of Scientific and Technical Information of China (English)

    Zhang Zhen; Xu Lizhong; Harry Hua Li; Shi Aiye; Han Hua; Wang Huibin

    2012-01-01

    In the applications of water regime monitoring,incompleteness,and inaccuracy of sensor data may directly affect the reliability of acquired monitoring information.Based on the spatial and temporal correlation of water regime monitoring information,this paper addresses this issue and proposes an information fusion method to implement data rectification.An improved Back Propagation (BP) neural network is used to perform data fusion on the hardware platform of a stantion unit,which takes Field-Programmable Gate Array (FPGA) as the core component.In order to verify the effectiveness,five measurements including water level,discharge and velocity are selected from three different points in a water regime monitoring station.The simulation results show that this method can recitify random errors as well as gross errors significantly.

  12. Sensor fusion by pseudo information measure: a mobile robot application.

    Science.gov (United States)

    Asharif, Mohammad Reza; Moshiri, Behzad; HoseinNezhad, Reza

    2002-07-01

    In any autonomous mobile robot, one of the most important issues to be designed and implemented is environment perception. In this paper, a new approach is formulated in order to perform sensory data integration for generation of an occupancy grid map of the environment. This method is an extended version of the Bayesian fusion method for independent sources of information. The performance of the proposed method of fusion and its sensitivity are discussed. Map building simulation for a cylindrical robot with eight ultrasonic sensors and mapping implementation for a Khepera robot have been separately tried in simulation and experimental works. A new neural structure is introduced for conversion of proximity data that are given by Khepera IR sensors to occupancy probabilities. Path planning experiments have also been applied to the resulting maps. For each map, two factors are considered and calculated: the fitness and the augmented occupancy of the map with respect to the ideal map. The length and the least distance to obstacles were the other two factors that were calculated for the routes that are resulted by path planning experiments. Experimental and simulation results show that by using the new fusion formulas, more informative maps of the environment are obtained. By these maps more appropriate routes could be achieved. Actually, there is a tradeoff between the length of the resulting routes and their safety and by choosing the proper fusion function, this tradeoff is suitably tuned for different map building applications.

  13. Adaptive Fusion of Stochastic Information for Imaging Fractured Vadose Zones

    Science.gov (United States)

    Daniels, J.; Yeh, J.; Illman, W.; Harri, S.; Kruger, A.; Parashar, M.

    2004-12-01

    A stochastic information fusion methodology is developed to assimilate electrical resistivity tomography, high-frequency ground penetrating radar, mid-range-frequency radar, pneumatic/gas tracer tomography, and hydraulic/tracer tomography to image fractures, characterize hydrogeophysical properties, and monitor natural processes in the vadose zone. The information technology research will develop: 1) mechanisms and algorithms for fusion of large data volumes ; 2) parallel adaptive computational engines supporting parallel adaptive algorithms and multi-physics/multi-model computations; 3) adaptive runtime mechanisms for proactive and reactive runtime adaptation and optimization of geophysical and hydrological models of the subsurface; and 4) technologies and infrastructure for remote (pervasive) and collaborative access to computational capabilities for monitoring subsurface processes through interactive visualization tools. The combination of the stochastic fusion approach and information technology can lead to a new level of capability for both hydrologists and geophysicists enabling them to "see" into the earth at greater depths and resolutions than is possible today. Furthermore, the new computing strategies will make high resolution and large-scale hydrological and geophysical modeling feasible for the private sector, scientists, and engineers who are unable to access supercomputers, i.e., an effective paradigm for technology transfer.

  14. Advances in data representation for hard/soft information fusion

    Science.gov (United States)

    Rimland, Jeffrey C.; Coughlin, Dan; Hall, David L.; Graham, Jacob L.

    2012-06-01

    Information fusion is becoming increasingly human-centric. While past systems typically relegated humans to the role of analyzing a finished fusion product, current systems are exploring the role of humans as integral elements in a modular and extensible distributed framework where many tasks can be accomplished by either human or machine performers. For example, "participatory sensing" campaigns give humans the role of "soft sensors" by uploading their direct observations or as "soft sensor platforms" by using mobile devices to record human-annotated, GPS-encoded high quality photographs, video, or audio. Additionally, the role of "human-in-the-loop", in which individuals or teams using advanced human computer interface (HCI) tools such as stereoscopic 3D visualization, haptic interfaces, or aural "sonification" interfaces can help to effectively engage the innate human capability to perform pattern matching, anomaly identification, and semantic-based contextual reasoning to interpret an evolving situation. The Pennsylvania State University is participating in a Multi-disciplinary University Research Initiative (MURI) program funded by the U.S. Army Research Office to investigate fusion of hard and soft data in counterinsurgency (COIN) situations. In addition to the importance of this research for Intelligence Preparation of the Battlefield (IPB), many of the same challenges and techniques apply to health and medical informatics, crisis management, crowd-sourced "citizen science", and monitoring environmental concerns. One of the key challenges that we have encountered is the development of data formats, protocols, and methodologies to establish an information architecture and framework for the effective capture, representation, transmission, and storage of the vastly heterogeneous data and accompanying metadata -- including capabilities and characteristics of human observers, uncertainty of human observations, "soft" contextual data, and information pedigree

  15. Modified maximum likelihood registration based on information fusion

    Institute of Scientific and Technical Information of China (English)

    Yongqing Qi; Zhongliang Jing; Shiqiang Hu

    2007-01-01

    The bias estimation of passive sensors is considered based on information fusion in multi-platform multisensor tracking system. The unobservable problem of bearing-only tracking in blind spot is analyzed. A modified maximum likelihood method, which uses the redundant information of multi-sensor system to calculate the target position, is investigated to estimate the biases. Monte Carlo simulation results show that the modified method eliminates the effect of unobservable problem in the blind spot and can estimate the biases more rapidly and accurately than maximum likelihood method. It is statistically efficient since the standard deviation of bias estimation errors meets the theoretical lower bounds.

  16. The use of anatomical information for molecular image reconstruction algorithms: Attention/Scatter correction, motion compensation, and noise reduction

    Energy Technology Data Exchange (ETDEWEB)

    Chun, Se Young [School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan (Korea, Republic of)

    2016-03-15

    PET and SPECT are important tools for providing valuable molecular information about patients to clinicians. Advances in nuclear medicine hardware technologies and statistical image reconstruction algorithms enabled significantly improved image quality. Sequentially or simultaneously acquired anatomical images such as CT and MRI from hybrid scanners are also important ingredients for improving the image quality of PET or SPECT further. High-quality anatomical information has been used and investigated for attenuation and scatter corrections, motion compensation, and noise reduction via post-reconstruction filtering and regularization in inverse problems. In this article, we will review works using anatomical information for molecular image reconstruction algorithms for better image quality by describing mathematical models, discussing sources of anatomical information for different cases, and showing some examples.

  17. Application of the JDL data fusion process model to hard/soft information fusion in the condition monitoring of aircraft

    Science.gov (United States)

    Bernardo, Joseph T.

    2014-05-01

    Hard/soft information fusion has been proposed as a way to enhance diagnostic capability for the condition monitoring of machinery. However, there is a limited understanding of where hard/soft information fusion could and should be applied in the condition monitoring of aircraft. Condition-based maintenance refers to the philosophy of performing maintenance when the need arises, based upon indicators of deterioration in the condition of the machinery. The addition of the multisensory capability of human cognition to electronic sensors may create a fuller picture of machinery condition. Since 1988, the Joint Directors of Laboratories (JDL) data fusion process model has served as a framework for information fusion research. Advances are described in the application of hard/soft information fusion in condition monitoring using terms that condition-based maintenance professionals in aviation will recognize. Emerging literature on hard/soft information fusion in condition monitoring is organized into the levels of the JDL data fusion process model. Gaps in the literature are identified, and the author's ongoing research is discussed. Future efforts will focus on building domain-specific frameworks and experimental design, which may provide a foundation for improving flight safety, increasing mission readiness, and reducing the cost of maintenance operations.

  18. Information fusion: telling the story (or threat narrative)

    Science.gov (United States)

    Fenstermacher, Laurie

    2014-06-01

    Today's operators face a "double whammy" - the need to process increasing amounts of information, including "Twitter-INT"1 (social information such as Facebook, You-Tube videos, blogs, Twitter) as well as the need to discern threat signatures in new security environments, including those in which the airspace is contested. To do this will require the Air Force to "fuse and leverage its vast capabilities in new ways."2 For starters, the integration of quantitative and qualitative information must be done in a way that preserves important contextual information since the goal increasingly is to identify and mitigate violence before it occurs. To do so requires a more nuanced understanding of the environment being sensed, including the human environment, ideally from the "emic" perspective; that is, from the perspective of that individual or group. This requires not only data and information that informs the understanding of how the individuals and/or groups see themselves and others (social identity) but also information on how that identity filters information in their environment which, in turn, shapes their behaviors.3 The goal is to piece together the individual and/or collective narratives regarding threat, the threat narrative, from various sources of information. Is there a threat? If so, what is it? What is motivating the threat? What is the intent of those who pose the threat and what are their capabilities and their vulnerabilities?4 This paper will describe preliminary investigations regarding the application of prototype hybrid information fusion method based on the threat narrative framework.

  19. Information fusion via isocortex-based Area 37 modeling

    Science.gov (United States)

    Peterson, James K.

    2004-08-01

    A simplified model of information processing in the brain can be constructed using primary sensory input from two modalities (auditory and visual) and recurrent connections to the limbic subsystem. Information fusion would then occur in Area 37 of the temporal cortex. The creation of meta concepts from the low order primary inputs is managed by models of isocortex processing. Isocortex algorithms are used to model parietal (auditory), occipital (visual), temporal (polymodal fusion) cortex and the limbic system. Each of these four modules is constructed out of five cortical stacks in which each stack consists of three vertically oriented six layer isocortex models. The input to output training of each cortical model uses the OCOS (on center - off surround) and FFP (folded feedback pathway) circuitry of (Grossberg, 1) which is inherently a recurrent network type of learning characterized by the identification of perceptual groups. Models of this sort are thus closely related to cognitive models as it is difficult to divorce the sensory processing subsystems from the higher level processing in the associative cortex. The overall software architecture presented is biologically based and is presented as a potential architectural prototype for the development of novel sensory fusion strategies. The algorithms are motivated to some degree by specific data from projects on musical composition and autonomous fine art painting programs, but only in the sense that these projects use two specific types of auditory and visual cortex data. Hence, the architectures are presented for an artificial information processing system which utilizes two disparate sensory sources. The exact nature of the two primary sensory input streams is irrelevant.

  20. Cone beam x-ray luminescence computed tomography reconstruction with a priori anatomical information

    Science.gov (United States)

    Lo, Pei-An; Lin, Meng-Lung; Jin, Shih-Chun; Chen, Jyh-Cheng; Lin, Syue-Liang; Chang, C. Allen; Chiang, Huihua Kenny

    2014-09-01

    X-ray luminescence computed tomography (XLCT) is a novel molecular imaging modality that reconstructs the optical distribution of x-ray-excited phosphor particles with prior informational of anatomical CT image. The prior information improves the accuracy of image reconstruction. The system can also present anatomical CT image. The optical system based on a high sensitive charge coupled device (CCD) is perpendicular with a CT system. In the XLCT system, the xray was adopted to excite the phosphor of the sample and CCD camera was utilized to acquire luminescence emitted from the sample in 360 degrees projection free-space. In this study, the fluorescence diffuse optical tomography (FDOT)-like algorithm was used for image reconstruction, the structural prior information was incorporated in the reconstruction by adding a penalty term to the minimization function. The phosphor used in this study is Gd2O2S:Tb. For the simulation and experiments, the data was collected from 16 projections. The cylinder phantom was 40 mm in diameter and contains 8 mm diameter inclusion; the phosphor in the in vivo study was 5 mm in diameter at a depth of 3 mm. Both the errors were no more than 5%. Based on the results from these simulation and experimental studies, the novel XLCT method has demonstrated the feasibility for in vivo animal model studies.

  1. Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm

    CERN Document Server

    Greensmith, Julie; Tedesco, Gianni

    2010-01-01

    Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Research into this family of cells has revealed that they perform information fusion which directs immune responses. We have derived a Dendritic Cell Algorithm based on the functionality of these cells, by modelling the biological signals and differentiation pathways to build a control mechanism for an artificial immune system. We present algorithmic details in addition to experimental results, when the algorithm was applied to anomaly detection for the detection of port scans. The results show the Dendritic Cell Algorithm is sucessful at detecting port scans.

  2. Fusion

    CERN Document Server

    Mahaffey, James A

    2012-01-01

    As energy problems of the world grow, work toward fusion power continues at a greater pace than ever before. The topic of fusion is one that is often met with the most recognition and interest in the nuclear power arena. Written in clear and jargon-free prose, Fusion explores the big bang of creation to the blackout death of worn-out stars. A brief history of fusion research, beginning with the first tentative theories in the early 20th century, is also discussed, as well as the race for fusion power. This brand-new, full-color resource examines the various programs currently being funded or p

  3. Analysis of Internet Information on Lateral Lumbar Interbody Fusion.

    Science.gov (United States)

    Belayneh, Rebekah; Mesfin, Addisu

    2016-07-01

    Lateral lumbar interbody fusion (LLIF) is a surgical technique that is being increasingly used. The authors' objective was to examine information on the Internet pertaining to the LLIF technique. An analysis was conducted of publicly accessible websites pertaining to LLIF. The following search engines were used: Google (www.google.com), Bing (www.bing.com), and Yahoo (www.yahoo.com). DuckDuckGo (www.duckduckgo.com) was an additional search engine used due to its emphasis on generating accurate and consistent results while protecting searchers' privacy and reducing advertisements. The top 35 websites providing information on LLIF from the 4 search engines were identified. A total of 140 websites were evaluated. Each web-site was categorized based on authorship (academic, private, medical industry, insurance company, other) and content of information. Using the search term lateral lumbar interbody fusion, 174,000 Google results, 112,000 Yahoo results, and 112,000 Bing results were obtained. DuckDuckGo does not display the number of results found for a search. From the top 140 websites collected from each website, 78 unique websites were identified. Websites were authored by a private medical group in 46.2% of the cases, an academic medical group in 26.9% of the cases, and the biomedical industry in 5.1% of the cases. Sixty-eight percent of websites reported indications, and 24.4% reported contraindications. Benefits of LLIF were reported by 69.2% of websites. Thirty-six percent of websites reported complications of LLIF. Overall, the quality of information regarding LLIF on the Internet is poor. Spine surgeons and spine societies can assist in improving the quality of the information on the Internet regarding LLIF. [Orthopedics. 2016; 39(4):e701-e707.].

  4. Information Fusion Using Ontology-Based Communication between Agents

    Directory of Open Access Journals (Sweden)

    Tarek Sobh

    2009-06-01

    Full Text Available The distribution of on-line applications among network nodes may require obtaining acceptable results from data analysis of multiple sensors. Such sensors data is probably heterogeneous, inconsistent, and of different types. Therefore, multiple sensor data fusion is required. Here, there are many levels of information fusion (from low level signals to high level knowledge. Agents for monitoring application field events could be used to dynamically react to those events and to take appropriate actions. In a dynamic environment even a single agent may have varying capabilities to sense that environment. The situation becomes more complex when various heterogeneous agents need to communicate with each other. Ontologies offer significant benefits to multi-agent systems. The benefits as such are interoperability, reusability, support for multi-agent systems development activities such as system analysis and agent knowledge modeling. Ontologies support multi-agent systems operations such as agent communication and reasoning. The proposed agent based model in this paper can afford a promising model for obtaining acceptable information in case of multiple sensors.

  5. Comprehensive Bridge Health Evaluation Method Based on Information Fusion

    Directory of Open Access Journals (Sweden)

    Li Li-ping

    2016-01-01

    Full Text Available In the bridge maintenance management decision, the health evaluation on bridge structure is far more than determination of abnormal index exceed fixed threshold, or evaluation on damage status and carrying capacity, the on-site human inspection should also be paid attention. In order to achieve more accurate and reliable health status evaluation result, it needs to take full advantage of various information and parameter. The D-S evidence information fusion was used in the paper to present comprehensive bridge health evaluation method. It fuses bridge operation status using abnormal status identification, bridge durability with residual life estimation, as well as human inspection rating, to arrive at health evaluation. The actual application examples to verify the method is also provided.

  6. Implication of Culture: User Roles in Information Fusion for Enhanced Situational Understanding

    Science.gov (United States)

    2009-07-01

    IF community has rallied behind the Data Fusion Information Group (DFIG) process model (that replaces the JDL model) with its revisions and...Llinas, C. Bowman, G. Rogova, A. Steinberg, E. Waltz, & F. White, “Revisiting the JDL Data Fusion Model II”, Fusion2004. [39] M. L. Davidson

  7. Towards a Unified Approach to Information Integration - A review paper on data/information fusion

    Energy Technology Data Exchange (ETDEWEB)

    Whitney, Paul D.; Posse, Christian; Lei, Xingye C.

    2005-10-14

    Information or data fusion of data from different sources are ubiquitous in many applications, from epidemiology, medical, biological, political, and intelligence to military applications. Data fusion involves integration of spectral, imaging, text, and many other sensor data. For example, in epidemiology, information is often obtained based on many studies conducted by different researchers at different regions with different protocols. In the medical field, the diagnosis of a disease is often based on imaging (MRI, X-Ray, CT), clinical examination, and lab results. In the biological field, information is obtained based on studies conducted on many different species. In military field, information is obtained based on data from radar sensors, text messages, chemical biological sensor, acoustic sensor, optical warning and many other sources. Many methodologies are used in the data integration process, from classical, Bayesian, to evidence based expert systems. The implementation of the data integration ranges from pure software design to a mixture of software and hardware. In this review we summarize the methodologies and implementations of data fusion process, and illustrate in more detail the methodologies involved in three examples. We propose a unified multi-stage and multi-path mapping approach to the data fusion process, and point out future prospects and challenges.

  8. A new information fusion white noise deconvolution estimator

    Institute of Scientific and Technical Information of China (English)

    Xiaojun SUN; Shigang WANG; Zili DENG

    2009-01-01

    The white noise deconvolution or input white noise estimation problem has important applications in oil seismic exploration, communication and signal processing. By the modem time series analysis method, based on the autoregressive moving average (ARMA) innovation model, a new information fusion white noise deconvolution estimator is presented for the general multisensor systems with different local dynamic models and correlated noises. It can handle the input white noise fused filtering, prediction and smoothing problems, and it is applicable to systems with colored measurement noises. It is locally optimal, and is globally suboptimal. The accuracy of the fuser is higher than that of each local white noise estimator. In order to compute the optimal weights, the formula computing the local estimation error cross-covariances is given. A Monte Carlo simulation example for the system with Bernoulli-Gaussian input white noise shows the effectiveness and performances.

  9. Cybernics fusion of human, machine and information systems

    CERN Document Server

    Suzuki, Kenji; Hasegawa, Yasuhisa

    2014-01-01

    Cybernics plays a significant role in coping with an aging society using state-of-the-art technologies from engineering, clinical medicine and humanities. This new interdisciplinary field studies technologies that enhance, strengthen, and support physical and cognitive functions of human beings, based on the fusion of human, machine, and information systems. The design of a seamless interface for interaction between the interior and exterior of the human body is described in this book from diverse aspects such as the physical, neurophysiological, and cognitive levels. It is the first book to cover the many aspects of cybernics, allowing readers to understand the life support robotics technology for the elderly, including remote, in-home, hospital, institutional, community medical welfare, and vital-sensing systems. Serving as a valuable resource, this volume will interest not only graduate students, scientists, and engineers but also newcomers to the field of cybernics.

  10. Multi-sources information fusion algorithm in airborne detection systems

    Institute of Scientific and Technical Information of China (English)

    Yang Yan; Jing Zhanrong; Gao Tian; Wang Huilong

    2007-01-01

    To aim at the multimode character of the data from the airplane detecting system, the paper combines DempsterSharer evidence theory and subjective Bayesian algorithm and makes to propose a mixed structure multimode data fusion algorithm. The algorithm adopts a prorated algorithm relate to the incertitude evaluation to convert the probability evaluation into the precognition probability in an identity frame, and ensures the adaptability of different data from different source to the mixed system. To guarantee real time fusion, a combination of time domain fusion and space domain fusion is established, this not only assure the fusion of data chain in different time of the same sensor, but also the data fusion from different sensors distributed in different platforms and the data fusion among different modes. The feasibility and practicability are approved through computer simulation.

  11. User Information Fusion Decision Making Analysis with the C-OODA Model

    Science.gov (United States)

    2011-07-01

    Observe-Orient-Decide-Act (C- OODA) model as a method of user and team analysis in the context of the Data Fusion Information Group ( DFIG ) Information...Fusion Model. From the DFIG model [as an update to the Joint Directors of the Lab (JDL) model], we look at Level 5 Fusion of “user refinement” in...OODA comparisons to the DFIG model support systems evaluation and analysis as well as coordinating the time interval of interaction between the machine

  12. Uncertain information fusion with robust adaptive neural networks-fuzzy reasoning

    Institute of Scientific and Technical Information of China (English)

    Zhang Yinan; Sun Qingwei; Quan He; Jin Yonggao; Quan Taifan

    2006-01-01

    In practical multi-sensor information fusion systems,there exists uncertainty about the network structure,active state of sensors,and information itself (including fuzziness,randomness,incompleteness as well as roughness,etc). Hence it requires investigating the problem of uncertain information fusion. Robust learning algorithm which adapts to complex environment and the fuzzy inference algorithm which disposes fuzzy information are explored to solve the problem. Based on the fusion technology of neural networks and fuzzy inference algorithm, a multi-sensor uncertain information fusion system is modeled. Also RANFIS learning algorithm and fusing weight synthesized inference algorithm are developed from the ANFIS algorithm according to the concept of robust neural networks. This fusion system mainly consists of RANFIS confidence estimator, fusing weight synthesized inference knowledge base and weighted fusion section. The simulation result demonstrates that the proposed fusion model and algorithm have the capability of uncertain information fusion, thus is obviously advantageous compared with the conventional Kalman weighted fusion algorithm.

  13. Neural Network Based Algorithm and Simulation of Information Fusion in the Coal Mine

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    The concepts of information fusion and the basic principles of neural networks are introduced.Neural networks were introduced as a way of building an information fusion model in a coal mine monitoring system.This assures the accurate transmission of the multi-sensor information that comes from the coal mine monitoring systems.The information fusion mode was analyzed.An algorithm was designed based on this analysis and some simulation results were given.Finally, conclusions that could provide auxiliary decision making information to the coal mine dispatching officers were presented.

  14. Convex optimization approach to the fusion of identity information

    Science.gov (United States)

    Li, Lingjie; Luo, Zhi-Quan; Wong, Kon M.; Bosse, Eloi

    1999-03-01

    We consider the problem of identity fusion for a multi- sensor target tracking system whereby sensors generate reports on the target identities. Since the sensor reports are typically fuzzy, 'incomplete' and inconsistent, the fusion approach based on the minimization of inconsistencies between the sensor reports by using a convex Quadratic Programming (QP) and linear programming (LP) formulation. In contrast to the Dempster-Shafer's evidential reasoning approach which suffers from exponentially growing completely, our approach is highly efficient. Moreover, our approach is capable of fusing 'ratio type' sensor reports, thus it is more general than the evidential reasoning theory. When the sensor reports are consistent, the solution generated by the new fusion method can be shown to converge to the true probability distribution. Simulation work shows that our method generates reasonable fusion results, and when only 'Subset type' sensor reports are presented, it produces fusion results similar to that obtained via the evidential reasoning theory.

  15. Temperature anomaly detection and estimation using microwave radiometry and anatomical information

    Science.gov (United States)

    Kelly, Patrick; Sobers, Tamara; St. Peter, Benjamin; Siqueira, Paul; Capraro, Geoffrey

    2011-03-01

    Many medically significant conditions (e.g., ischemia, carcinoma and inflammation) involve localized anomalies in physiological parameters such as the metabolic and blood perfusion rates. These in turn lead to deviations from normal tissue temperature patterns. Microwave radiometry is a passive system for sensing the radiation that objects emit naturally in the microwave frequency band. Since the emitted power depends on temperature, and since radiation at low microwave frequencies can propagate through several centimeters of tissue, microwave radiometry has the potential to provide valuable information about subcutaneous anomalies. The radiometric temperature measurement for a tissue region can be modeled as the inner product of the temperature pattern and a weighting function that depends on tissue properties and the radiometer's antenna. In the absence of knowledge of the weighting functions, it can be difficult to extract specific information about tissue temperature patterns (or the underlying physiological parameters) from the measurements. In this paper, we consider a scenario in which microwave radiometry works in conjunction with another imaging modality (e.g., 3D-CT or MRI) that provides detailed anatomical information. This information is used along with sensor properties in electromagnetic simulation software to generate weighting functions. It also is used in bio-heat equations to generate nominal tissue temperature patterns. We then develop a hypothesis testing framework that makes use of the weighting functions, nominal temperature patterns, and maximum likelihood estimates to detect anomalies. Simulation results are presented to illustrate the proposed detection procedures. The design and performance of an S-band (2-4 GHz) radiometer, and some of the challenges in using such a radiometer for temperature measurements deep in tissue, are also discussed.

  16. Projection of fMRI data onto the cortical surface using anatomically-informed convolution kernels.

    Science.gov (United States)

    Operto, G; Bulot, R; Anton, J-L; Coulon, O

    2008-01-01

    As surface-based data analysis offer an attractive approach for intersubject matching and comparison, the projection of voxel-based 3D volumes onto the cortical surface is an essential problem. We present here a method that aims at producing representations of functional brain data on the cortical surface from functional MRI volumes. Such representations are for instance required for subsequent cortical-based functional analysis. We propose a projection technique based on the definition, around each node of the gray/white matter interface mesh, of convolution kernels whose shape and distribution rely on the geometry of the local anatomy. For one anatomy, a set of convolution kernels is computed that can be used to project any functional data registered with this anatomy. Therefore resulting in anatomically-informed projections of data onto the cortical surface, this kernel-based approach offers better sensitivity, specificity than other classical methods and robustness to misregistration errors. Influences of mesh and volumes spatial resolutions were also estimated for various projection techniques, using simulated functional maps.

  17. Segmentation of brain magnetic resonance images based on multi-atlas likelihood fusion: testing using data with a broad range of anatomical and photometric profiles

    Directory of Open Access Journals (Sweden)

    Xiaoying eTang

    2015-03-01

    Full Text Available We propose a hierarchical pipeline for skull-stripping and segmentation of anatomical structures of interest from T1-weighted images of the human brain. The pipeline is constructed based on a two-level Bayesian parameter estimation algorithm called multi-atlas likelihood fusion (MALF. In MALF, estimation of the parameter of interest is performed via maximum a posteriori estimation using the expectation-maximization (EM algorithm. The likelihoods of multiple atlases are fused in the E-step while the optimal estimator, a single maximizer of the fused likelihoods, is then obtained in the M-step. There are two stages in the proposed pipeline; first the input T1-weighted image is automatically skull-stripped via a fast MALF, then internal brain structures of interest are automatically extracted using a regular MALF. We assess the performance of each of the two modules in the pipeline based on two sets of images with markedly different anatomical and photometric contrasts; 3T MPRAGE scans of pediatric subjects with developmental disorders versus 1.5T SPGR scans of elderly subjects with dementia. Evaluation is performed quantitatively using the Dice overlap as well as qualitatively via visual inspections. As a result, we demonstrate subject-level differences in the performance of the proposed pipeline, which may be accounted for by age, diagnosis, or the imaging parameters (particularly the field strength. For the subcortical and ventricular structures of the two datasets, the hierarchical pipeline is capable of producing automated segmentations with Dice overlaps ranging from 0.8 to 0.964 when compared with the gold standard. Comparisons with other representative segmentation algorithms are presented, relative to which the proposed hierarchical pipeline demonstrates comparative or superior accuracy.

  18. CONDITION MONITOR OF DEEP-HOLE DRILLING BASED ON MULTI-SENSOR INFORMATION FUSION

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    A condition monitoring method of deep-hole drilling based on multi-sensor information fusion is discussed. The signal of vibration and cutting force are collected when the condition of deep-hole drilling on stainless steel 0Crl7Ni4Cu4Nb is normal or abnormal. Four eigenvectors are extracted on time-domain and frequency-domain analysis of the signals. Then the four eigenvectors are combined and sent to neural networks to dispose. The fusion results indicate that multi-sensor information fusion is superior to single-sensor information, and that cutting force signal can reflect the condition of cutting tool better than vibration signal.

  19. A Multi-Classification Method of Improved SVM-based Information Fusion for Traffic Parameters Forecasting

    Directory of Open Access Journals (Sweden)

    Hongzhuan Zhao

    2016-04-01

    Full Text Available With the enrichment of perception methods, modern transportation system has many physical objects whose states are influenced by many information factors so that it is a typical Cyber-Physical System (CPS. Thus, the traffic information is generally multi-sourced, heterogeneous and hierarchical. Existing research results show that the multisourced traffic information through accurate classification in the process of information fusion can achieve better parameters forecasting performance. For solving the problem of traffic information accurate classification, via analysing the characteristics of the multi-sourced traffic information and using redefined binary tree to overcome the shortcomings of the original Support Vector Machine (SVM classification in information fusion, a multi-classification method using improved SVM in information fusion for traffic parameters forecasting is proposed. The experiment was conducted to examine the performance of the proposed scheme, and the results reveal that the method can get more accurate and practical outcomes.

  20. A homological multi-information fusion method for processing gastric tumor tissue pathological images

    Institute of Scientific and Technical Information of China (English)

    LI Tian-gang; WANG Su-pin; QIN Chen

    2005-01-01

    A homological multi-information image fusion method was introduced for recognition of the gastric tumor pathological tissue images. The main purpose is that fewer procedures are used to provide more information and the result images could be easier to be understood than any other methods. First,multi-scale wavelet transform was used to extract edge feature ,and then watershed morphology was used to form multi-threshold grayscale contours. The research laid emphasis upon the homological tissue image fusion based on extended Bayesian algorithm ,which fusion result images of linear weighted algorithm was used to compare with the ones of extended Bayesian algorithm. The final fusion images are shown in Fig 5.The final image evaluation was made by information entropy,information correlativity and statistics methods. It is indicated that this method has more advantages for clinical application.

  1. Design and Implementation of Multi Agentbased Information Fusion System for Decision Making Support (A Case Study on Military Operation

    Directory of Open Access Journals (Sweden)

    Arwin Datunaya Wahyudi Sumari

    2013-09-01

    Full Text Available Quick, accurate, and complete information is highly required for supporting strategically impact decision making in a Military Operation (MO in order to reduce the decision cycle and to minimize the loss. For that purpose, we propose, design and implement a hierarchical Multi Agentbased Information Fusion System for Decision Making Support (MAIFSDMS. The information fusion is implemented by applying Maximum Score of the Total Sum of Joint Probabilities (MSJP fusion method and is done by a collection of Information Fusion Agents (IFA that forms a multiagent system. MAIFS uses a combination of generalization of Dasarathy and Joint Director’s Laboratory (JDL process models for information fusion mechanism. Information fusion products that are displayed in graphical forms provide comprehensive information regarding the MO’s area dynamics. By observing the graphics resulted from the information fusion, the commandant will have situational awareness and knowledge in order to make the most accurate strategic de cision as fast as possible.

  2. Information fusion in signal and image processing major probabilistic and non-probabilistic numerical approaches

    CERN Document Server

    Bloch, Isabelle

    2010-01-01

    The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets and possibility theory and belief functions).

  3. Information fusion performance evaluation for motion imagery data using mutual information: initial study

    Science.gov (United States)

    Grieggs, Samuel M.; McLaughlin, Michael J.; Ezekiel, Soundararajan; Blasch, Erik

    2015-06-01

    As technology and internet use grows at an exponential rate, video and imagery data is becoming increasingly important. Various techniques such as Wide Area Motion imagery (WAMI), Full Motion Video (FMV), and Hyperspectral Imaging (HSI) are used to collect motion data and extract relevant information. Detecting and identifying a particular object in imagery data is an important step in understanding visual imagery, such as content-based image retrieval (CBIR). Imagery data is segmented and automatically analyzed and stored in dynamic and robust database. In our system, we seek utilize image fusion methods which require quality metrics. Many Image Fusion (IF) algorithms have been proposed based on different, but only a few metrics, used to evaluate the performance of these algorithms. In this paper, we seek a robust, objective metric to evaluate the performance of IF algorithms which compares the outcome of a given algorithm to ground truth and reports several types of errors. Given the ground truth of a motion imagery data, it will compute detection failure, false alarm, precision and recall metrics, background and foreground regions statistics, as well as split and merge of foreground regions. Using the Structural Similarity Index (SSIM), Mutual Information (MI), and entropy metrics; experimental results demonstrate the effectiveness of the proposed methodology for object detection, activity exploitation, and CBIR.

  4. The impact of information fusion in steganalysis on the example of audio steganalysis

    Science.gov (United States)

    Kraetzer, Christian; Dittmann, Jana

    2009-02-01

    Information fusion tries to determine the best set of experts in a given problem domain and devise an appropriate function that can optimally combine the decisions of the individual experts. Only few systematic approaches to information fusion exist so far in the signal processing field of steganalysis. Under the basic assumption that steganalysis can be seen as a statistical pattern recognition process like biometrics, a state of the art five level information fusion model known from biometrics is transferred to steganalysis as well as statistical detectability evaluations for watermarking algorithms and its applicability is evaluated in practical testing. The primary test goal for these evaluations is to measure the impact of fusion on the classification accuracy. Therefore a match and decision level fusion are performed here for three selected data hiding algorithms (one steganography and two watermarking), two feature extractors and five different classifiers. For the test heterogeneous audio test sets are used for content independent training and testing. The secondary test goal of this work is to consider the impact of the key selection assumption on the accuracy of the classification in steganalysis. The results show for the test cases an increase of the classification accuracy for two of the three tested algorithms by match level fusions, no gain by decision level fusion and a considerably small impact of the key selection assumption on the statistical detectability.

  5. Content Based Image Recognition by Information Fusion with Multiview Features

    Directory of Open Access Journals (Sweden)

    Rik Das

    2015-09-01

    Full Text Available Substantial research interest has been observed in the field of object recognition as a vital component for modern intelligent systems. Content based image classification and retrieval have been considered as two popular techniques for identifying the object of interest. Feature extraction has played the pivotal role towards successful implementation of the aforesaid techniques. The paper has presented two novel techniques of feature extraction from diverse image categories both in spatial domain and in frequency domain. The multi view features from the image categories were evaluated for classification and retrieval performances by means of a fusion based recognition architecture. The experimentation was carried out with four different popular public datasets. The proposed fusion framework has exhibited an average increase of 24.71% and 20.78% in precision rates for classification and retrieval respectively, when compared to state-of-the art techniques. The experimental findings were validated with a paired t test for statistical significance.

  6. Ontological Considerations for Uncertainty Propagation in High Level Information Fusion

    Science.gov (United States)

    2013-01-01

    model. This model establishes five functional levels, as defined in [9] and repeated in Table 1 below. Table 1: JDL Fusion Levels [9] Level Title...tempting to suggest that Sowa’s three relationship levels correspond to the JDL levels 1 / 2 / 3 (i.e., Independent, Relative, and Mediating, respectively... JDL level 2 can (but does not have to) consider multiple relationships in and between multiple entities. Second, JDL level 2 situation assessment

  7. Adaptive high-frequency information fusion algorithm of radar and optical images

    Science.gov (United States)

    Wang, Yiding; Qin, Shuai

    2011-12-01

    An adaptive High-frequency Information Fusion Algorithm of Radar and Optical Images is proposed in this paper, in order to improve the resolution of the radar image and reserve more radar information. Firstly, Hough Transform is adopted in the process of low-resolution radar image and high-resolution optical image registration. The implicit linear information is extracted from two different heterogeneous images for better result. Then NSCT transform is used for decomposition and fusion. In different decomposition layers or in the same layer with different directions, fusion rules are adaptive for the high-frequency information of images. The ratio values of high frequency information entropy, variance, gradient and edge strength are calculated after NSCT decomposition. High frequency information entropy, variance, gradient or edge strength, which has the smallest ratio value, is selected as an optimal rule for regional fusion. High-frequency information of radar image could be better retained, at the same time the low-frequency information of optical image also could be remained. Experimental results showed that our approach performs better than those methods with single fusion rule.

  8. Visible and Infrared Video Fusion Using Uniform Discrete Curvelet Transform and Spatial-Temp oral Information

    Institute of Scientific and Technical Information of China (English)

    LI Qingping,DU Junping; XU Liang

    2015-01-01

    Multiple visual sensor fusion provides an eff ective way to improve the robustness and accuracy of video surveillance system. Traditional video fusion meth-ods fuse the source videos using static image fusion meth-ods frame-by-frame without considering the information in temporal dimension. The temporal information can’t be fully utilized in fusion procedure. Aiming at this problem, a visible and infrared video fusion method based on Uniform discrete curvelet transform (UDCT) and spatial-temporal information is proposed. The source videos are decomposed by using UDCT, and a set of local spatial-temporal energy based fusion rules are designed for decomposition coeffi-cients. In these rules, we consider the current frame’s co-efficients and the coefficients on temporal dimension which are the coefficients of adjacent frames. Experimental re-sults demonstrated that the proposed method works well and outperforms comparison methods in terms of temporal stability and consistency as well as spatial-temporal infor-mation extraction.

  9. Application of Multi-Sensors Information Fusion for Self-protection System of Robot

    Directory of Open Access Journals (Sweden)

    Qiuhong Gao

    2013-01-01

    Full Text Available This paper developed a kind of robot self-protection system using the multi-sensors information fusion technology. This system used five groups of photoelectric sensor and ultrasonic sensor which were installed in different direction of the robot. In this study, signals were gathered by using the complement of ranging of photoelectric sensor and ultrasonic sensor. Then the signals were sent to MCU to achieve multi-sensors information fusion.Core fusion technology was the adaptive weighted fusion estimation algorithm, which can make measurement data more accurate. With such technology, an accurate robot self-protection command was made as to avoid obstacles, to judge narrow highland and to prevent dropping. The experiment results validated its good self-protection function.

  10. Botnet Detection Architecture Based on Heterogeneous Multi-sensor Information Fusion

    Directory of Open Access Journals (Sweden)

    HaiLong Wang

    2011-12-01

    Full Text Available As technology has been developed rapidly, botnet threats to the global cyber community are also increasing. And the botnet detection has recently become a major research topic in the field of network security. Most of the current detection approaches work only on the evidence from single information source, which can not hold all the traces of botnet and hardly achieve high accuracy. In this paper, a novel botnet detection architecture based on heterogeneous multi-sensor information fusion is proposed. The architecture is designed to carry out information integration in the three fusion levels of data, feature, and decision. As the core component, a feature extraction module is also elaborately designed. And an extended algorithm of the Dempster-Shafer (D-S theory is proved and adopted in decision fusion. Furthermore, a representative case is provided to illustrate that the detection architecture can effectively fuse the complicated information from various sensors, thus to achieve better detection effect.

  11. SPOT WELDING QUALITY FUZZY CONTROL SYSTEM BASED ON MULTISENSOR INFORMATION FUSION

    Institute of Scientific and Technical Information of China (English)

    CHANG Yunlong; SU Hang; LIN Bin; YANG Xu

    2007-01-01

    The multisensor information fusion technology is adopted for real time measuring the four Parameters which are connected closely with the weld nugget size(welding current, electrode displacement, dynamic resistance, welding time), thus much more original information is obtained. In this way, the difficulty caused by measuring indirectly weld nugget size can be decreased in spot welding quality control, and the stability of spot welding quality can be improved. According to this method, two-dimensional fuzzy Controllers are designed with the information fusion result as input and the thyristor control signal as output. The spot welding experimental results indicate that the spot welding quality intelligent control method based on multisensor information fusion technology can compensate the influence caused by variable factors in welding process and ensure the stability of welding quality.

  12. Detection, information fusion, and temporal processing for intelligence in recognition

    Energy Technology Data Exchange (ETDEWEB)

    Casasent, D. [Carnegie Mellon Univ., Pittsburgh, PA (United States)

    1996-12-31

    The use of intelligence in vision recognition uses many different techniques or tools. This presentation discusses several of these techniques for recognition. The recognition process is generally separated into several steps or stages when implemented in hardware, e.g. detection, segmentation and enhancement, and recognition. Several new distortion-invariant filters, biologically-inspired Gabor wavelet filter techniques, and morphological operations that have been found very useful for detection and clutter rejection are discussed. These are all shift-invariant operations that allow multiple object regions of interest in a scene to be located in parallel. We also discuss new algorithm fusion concepts by which the results from different detection algorithms are combined to reduce detection false alarms; these fusion methods utilize hierarchical processing and fuzzy logic concepts. We have found this to be most necessary, since no single detection algorithm is best for all cases. For the final recognition stage, we describe a new method of representing all distorted versions of different classes of objects and determining the object class and pose that most closely matches that of a given input. Besides being efficient in terms of storage and on-line computations required, it overcomes many of the problems that other classifiers have in terms of the required training set size, poor generalization with many hidden layer neurons, etc. It is also attractive in its ability to reject input regions as clutter (non-objects) and to learn new object descriptions. We also discuss its use in processing a temporal sequence of input images of the contents of each local region of interest. We note how this leads to robust results in which estimation efforts in individual frames can be overcome. This seems very practical, since in many scenarios a decision need not be made after only one frame of data, since subsequent frames of data enter immediately in sequence.

  13. Maximizing Modern Distribution of Complex Anatomical Spatial Information: 3D Reconstruction and Rapid Prototype Production of Anatomical Corrosion Casts of Human Specimens

    Science.gov (United States)

    Li, Jianyi; Nie, Lanying; Li, Zeyu; Lin, Lijun; Tang, Lei; Ouyang, Jun

    2012-01-01

    Anatomical corrosion casts of human specimens are useful teaching aids. However, their use is limited due to ethical dilemmas associated with their production, their lack of perfect reproducibility, and their consumption of original specimens in the process of casting. In this study, new approaches with modern distribution of complex anatomical…

  14. Prediction of Gas Emission Based on Information Fusion and Chaotic Time Series

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    In order to make more exact predictions of gas emissions, information fusion and chaos time series are combined to predict the amount of gas emission in pits. First, a multi-sensor information fusion frame is established. The frame includes a data level, a character level and a decision level. Functions at every level are interpreted in detail in this paper. Then, the process of information fusion for gas emission is introduced. On the basis of those data processed at the data and character levels, the chaos time series and neural network are combined to predict the amount of gas emission at the decision level. The weights of the neural network are gained by training not by manual setting, in order to avoid subjectivity introduced by human intervention. Finally, the experimental results were analyzed in Matlab 6.0 and prove that the method is more accurate in the prediction of the amount of gas emission than the traditional method.

  15. Weak signal detection based on the information fusion and chaotic oscillator.

    Science.gov (United States)

    Xiang, Xiuqiao; Shi, Baochang

    2010-03-01

    Based on the chaotic oscillator, a method for weak signal detection using information fusion technology is proposed in this paper. On the one hand, various methods are employed to the amplitude detection of the same weak periodic signal, then the detection outcomes are fused by the adaptive weighted fusion method. On the other hand, during the detection course, information entropy, statistic distance, and Walsh transform are, respectively, used in the state recognition of chaotic oscillator from the viewpoint of time domain or frequency domain, then the recognition results are fused by the k/l fusion method. Numerical results show that the proposed approach detects signal more precisely, identifies state more accurately, and represents information more completely compared with traditional methods.

  16. Application of Multi-information Fusion Positioning Technology in Robot Positioning System

    Directory of Open Access Journals (Sweden)

    Chang Xu

    2014-03-01

    Full Text Available Against to the presence of high complexity, low accuracy and a smaller range of positioning in traditional positioning technologies (WLAN, RFID and visual positioning technology, it presents the multi-information fusion positioning technology. The technology takes full advantage of WLAN, RFID and visual positioning technology which chooses Kalman filter for WLAN and RFID information fusion location, and uses visual for positioning after close to the target. Experimental results show that: This technology reduces deviations of WLAN, RFID and visual positioning technology during alone positioning, improves positional accuracy and better meets the positioned requirements of indoor mobile robots.

  17. Non-gyroscope DR and adaptive information fusion algorithm used in GPS/DR device

    Institute of Scientific and Technical Information of China (English)

    Li Qingli; Xue Yongqi; Shang Yanlei; Shi Pengfei

    2006-01-01

    In view of the problems existing in GPS, a non-gyroscope DR is introduced. The operating principle and the algorithm of the GPS/DR device are also presented. By operating measured data synthetically, linear observation equations are obtained for the information fusion algorithm. This approach avoids model error due to linearizing nonlinear observation equations in the conventional algorithm, so that the stability of information fusion algorithm is improved and computation expenses are reduced. Field running experiments show that satisfactory accuracy can be obtained by the proposed navigation model and algorithm for the non-gyroscope GPS/DR device.

  18. An Approach to Optimize the Fusion Coefficients for Land Cover Information Enhancement with Multisensor Data

    Science.gov (United States)

    Garg, Akanksha; Brodu, Nicolas; Yahia, Hussein; Singh, Dharmendra

    2016-04-01

    This paper explores a novel data fusion method with the application of Machine Learning approach for optimal weighted fusion of multisensor data. It will help to get the maximum information of any land cover. Considerable amount of research work has been carried out on multisensor data fusion but getting an optimal fusion for enhancement of land cover information using random weights is still ambiguous. Therefore, there is a need of such land cover monitoring system which can provide the maximum information of the land cover, generally which is not possible with the help of single sensor data. There is a necessity to develop such techniques by which information of multisensor data can be utilized optimally. Machine learning is one of the best way to optimize this type of information. So, in this paper, the weights of each sensor data have been critically analyzed which is required for the fusion, and observed that weights are quite sensitive in fusion. Therefore, different combinations of weights have been tested exhaustively in the direction to develop a relationship between weights and classification accuracy of the fused data. This relationship can be optimized through machine learning techniques like SVM (Support Vector Machine). In the present study, this experiment has been carried out for PALSAR (Phased Array L-Band Synthetic Aperture RADAR) and MODIS (Moderate Resolution Imaging Spectroradiometer) data. PALSAR is a fully polarimetric data with HH, HV and VV polarizations at good spatial resolution (25m), and NDVI (Normalized Difference Vegetation Index) is a good indicator of vegetation, utilizing different bands (Red and NIR) of freely available MODIS data at 250m resolution. First of all, resolution of NDVI has been enhanced from 250m to 25m (10 times) using modified DWT (Modified Discrete Wavelet Transform) to bring it on the same scale as that of PALSAR. Now, different polarized PALSAR data (HH, HV, VV) have been fused with resolution enhanced NDVI

  19. Spiking Cortical Model Based Multimodal Medical Image Fusion by Combining Entropy Information with Weber Local Descriptor.

    Science.gov (United States)

    Zhang, Xuming; Ren, Jinxia; Huang, Zhiwen; Zhu, Fei

    2016-09-15

    Multimodal medical image fusion (MIF) plays an important role in clinical diagnosis and therapy. Existing MIF methods tend to introduce artifacts, lead to loss of image details or produce low-contrast fused images. To address these problems, a novel spiking cortical model (SCM) based MIF method has been proposed in this paper. The proposed method can generate high-quality fused images using the weighting fusion strategy based on the firing times of the SCM. In the weighting fusion scheme, the weight is determined by combining the entropy information of pulse outputs of the SCM with the Weber local descriptor operating on the firing mapping images produced from the pulse outputs. The extensive experiments on multimodal medical images show that compared with the numerous state-of-the-art MIF methods, the proposed method can preserve image details very well and avoid the introduction of artifacts effectively, and thus it significantly improves the quality of fused images in terms of human vision and objective evaluation criteria such as mutual information, edge preservation index, structural similarity based metric, fusion quality index, fusion similarity metric and standard deviation.

  20. Spiking Cortical Model Based Multimodal Medical Image Fusion by Combining Entropy Information with Weber Local Descriptor

    Directory of Open Access Journals (Sweden)

    Xuming Zhang

    2016-09-01

    Full Text Available Multimodal medical image fusion (MIF plays an important role in clinical diagnosis and therapy. Existing MIF methods tend to introduce artifacts, lead to loss of image details or produce low-contrast fused images. To address these problems, a novel spiking cortical model (SCM based MIF method has been proposed in this paper. The proposed method can generate high-quality fused images using the weighting fusion strategy based on the firing times of the SCM. In the weighting fusion scheme, the weight is determined by combining the entropy information of pulse outputs of the SCM with the Weber local descriptor operating on the firing mapping images produced from the pulse outputs. The extensive experiments on multimodal medical images show that compared with the numerous state-of-the-art MIF methods, the proposed method can preserve image details very well and avoid the introduction of artifacts effectively, and thus it significantly improves the quality of fused images in terms of human vision and objective evaluation criteria such as mutual information, edge preservation index, structural similarity based metric, fusion quality index, fusion similarity metric and standard deviation.

  1. An Introduction to DSmT in Information Fusion

    Directory of Open Access Journals (Sweden)

    Florentin Smarandache

    2011-01-01

    Full Text Available The management and combination of uncertain, imprecise,
    fuzzy and even paradoxical or highly conflicting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems involving artificial reasoning. In this introduction, we present a survey of our recent theory of plausible and para-
    doxical reasoning, known as Dezert-Smarandache Theory (DSmT, developed for dealing with imprecise, uncertain and conflicting sources of information. We focus our presentation on the foundations of DSmT and on its most important rules of combination, rather than on browsing specific applications of
    DSmT available in literature. Several simple examples are given throughout this presentation to show the e±ciency and the generality of this new theory.

  2. Information Fusion of Online Oil Monitoring System Using Multiple Sensors

    Institute of Scientific and Technical Information of China (English)

    高慧良; 周新聪; 程海明; 赵春华; 严新平

    2004-01-01

    Machine lubrication contains abundant information on the equipment operation.Nowadays, most measuring methods are based on offline sampling or on online measuring with a single sensor.An online oil monitoring system with multiple sensors was designed.The measurement data was processed with a fuzzy intelligence system.Information from integrated sensors in an oil online monitoring system was evaluated using fuzzy logic.The analyses show that the multiple sensors evaluation results are more reliable than online monitoring systems with single sensors.

  3. Fusion of Multimodal Information in Music Content Analysis

    OpenAIRE

    Essid, Slim; Richard, Gaël

    2012-01-01

    Music is often processed through its acoustic realization. This is restrictive in the sense that music is clearly a highly multimodal concept where various types of heterogeneous information can be associated to a given piece of music (a musical score, musicians' gestures, lyrics, user-generated metadata, etc.). This has recently led researchers to apprehend music through its various facets, giving rise to "multimodal music analysis" studies. This article gives a synthetic overview of methods...

  4. A methodology for hard/soft information fusion in the condition monitoring of aircraft

    Science.gov (United States)

    Bernardo, Joseph T.

    2013-05-01

    Condition-based maintenance (CBM) refers to the philosophy of performing maintenance when the need arises, based upon indicators of deterioration in the condition of the machinery. Traditionally, CBM involves equipping machinery with electronic sensors that continuously monitor components and collect data for analysis. The addition of the multisensory capability of human cognitive functions (i.e., sensemaking, problem detection, planning, adaptation, coordination, naturalistic decision making) to traditional CBM may create a fuller picture of machinery condition. Cognitive systems engineering techniques provide an opportunity to utilize a dynamic resource—people acting as soft sensors. The literature is extensive on techniques to fuse data from electronic sensors, but little work exists on fusing data from humans with that from electronic sensors (i.e., hard/soft fusion). The purpose of my research is to explore, observe, investigate, analyze, and evaluate the fusion of pilot and maintainer knowledge, experiences, and sensory perceptions with digital maintenance resources. Hard/soft information fusion has the potential to increase problem detection capability, improve flight safety, and increase mission readiness. This proposed project consists the creation of a methodology that is based upon the Living Laboratories framework, a research methodology that is built upon cognitive engineering principles1. This study performs a critical assessment of concept, which will support development of activities to demonstrate hard/soft information fusion in operationally relevant scenarios of aircraft maintenance. It consists of fieldwork, knowledge elicitation to inform a simulation and a prototype.

  5. Information fusion in aquaculture: a state-of the art review

    Directory of Open Access Journals (Sweden)

    Shahbaz Gul HASSAN,Murtaza HASAN,Daoliang LI

    2016-09-01

    Full Text Available Efficient fish feeding is currently one of biggest challenges in aquaculture to enhance the production of fish quality and quantity. In this review, an information fusion approach was used to integrate multi-sensor and computer vision techniques to make fish feeding more efficient and accurate. Information fusion is a well-known technology that has been used in different fields of artificial intelligence, robotics, image processing, computer vision, sensors and wireless sensor networks. Information fusion in aquaculture is a growing field of research that is used to enhance the performance of an industrialized ecosystem. This review study surveys different fish feeding systems using multi-sensor data fusion, computer vision technology, and different food intake models. In addition, different fish behavior monitoring techniques are discussed, and the parameters of water, pH, dissolved oxygen, turbidity, temperature etc., necessary for the fish feeding process, are examined. Moreover, the different waste management and fish disease diagnosis techniques using different technologies, expert systems and modeling are also reviewed.

  6. Fault diagnosis in neutral point indirectly grounded system based on information fusion

    Institute of Scientific and Technical Information of China (English)

    于飞; 鞠丽叶; 刘喜梅; 崔平远; 钟秋海

    2003-01-01

    In neutral point indirectly grounded systems, phase-to-ground fault is putting new demands on fault diagnosis technology. Information fusion is applied to detect the phase-to-ground fault, which integrates several sources of information, including line current, line voltage, zero sequence current and voltage, and quintic harmonic wave component. This method is testified through the simulation of Matlab. Simulation results show that the precision and reliability of the detection has been greatly increased.

  7. Besoins operationnels en fusion en matiere d’information et de renseignement (Operational Requirements for Fusion in the Fields of Information and Intelligence)

    Science.gov (United States)

    2004-03-01

    défriché en finesse, et l’apport d’automatismes et de fusion, incontournable, demande une analyse très pointue des contraintes et limites...lorsqu’elle répond à une demande et fournit une information à tendance documentaire , comme les cadres d’ordres et les images de référence. Elle est...Champs immatériels. Même si les champs immatériels et l’environnement semblent difficiles à analyser directement, les comptes-rendus textuels ou

  8. Information fusion in regularized inversion of tomographic pumping tests

    Science.gov (United States)

    Bohling, G.C.; ,

    2008-01-01

    In this chapter we investigate a simple approach to incorporating geophysical information into the analysis of tomographic pumping tests for characterization of the hydraulic conductivity (K) field in an aquifer. A number of authors have suggested a tomographic approach to the analysis of hydraulic tests in aquifers - essentially simultaneous analysis of multiple tests or stresses on the flow system - in order to improve the resolution of the estimated parameter fields. However, even with a large amount of hydraulic data in hand, the inverse problem is still plagued by non-uniqueness and ill-conditioning and the parameter space for the inversion needs to be constrained in some sensible fashion in order to obtain plausible estimates of aquifer properties. For seismic and radar tomography problems, the parameter space is often constrained through the application of regularization terms that impose penalties on deviations of the estimated parameters from a prior or background model, with the tradeoff between data fit and model norm explored through systematic analysis of results for different levels of weighting on the regularization terms. In this study we apply systematic regularized inversion to analysis of tomographic pumping tests in an alluvial aquifer, taking advantage of the steady-shape flow regime exhibited in these tests to expedite the inversion process. In addition, we explore the possibility of incorporating geophysical information into the inversion through a regularization term relating the estimated K distribution to ground penetrating radar velocity and attenuation distributions through a smoothing spline model. ?? 2008 Springer-Verlag Berlin Heidelberg.

  9. Flexible and Scalable Data Fusion using Proactive, Schemaless Information Services

    Energy Technology Data Exchange (ETDEWEB)

    Widener, Patrick M. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Scalable System Software Dept.

    2014-05-01

    Exascale data environments are fast approaching, driven by diverse structured and unstructured data such as system and application telemetry streams, open-source information capture, and on-demand simulation output. Storage costs having plummeted, the question is now one of converting vast stores of data to actionable information. Complicating this problem are the low degrees of awareness across domain boundaries about what potentially useful data may exist, and write-once-read- never issues (data generation/collection rates outpacing data analysis and integration rates). Increasingly, technologists and researchers need to correlate previously unrelated data sources and artifacts to produce fused data views for domain-specific purposes. New tools and approaches for creating such views from vast amounts of data are vitally important to maintaining research and operational momentum. We propose to research and develop tools and services to assist in the creation, refinement, discovery and reuse of fused data views over large, diverse collections of heterogeneously structured data. We innovate in the following ways. First, we enable and encourage end-users to introduce customized index methods selected for local benefit rather than for global interaction (flexible multi-indexing). We envision rich combinations of such views on application data: views that span backing stores with different semantics, that introduce analytic methods of indexing, and that define multiple views on individual data items. We specifically decline to build a big fused database of everything providing a centralized index over all data, or to export a rigid schema to all comers as in federated query approaches. Second, we proactively advertise these application-specific views so that they may be programmatically reused and extended (data proactivity). Through this mechanism, both changes in state (new data in existing view collected) and changes in structure (new or derived view exists) are

  10. Flexible and Scalable Data Fusion using Proactive Schemaless Information Services

    Energy Technology Data Exchange (ETDEWEB)

    Widener, Patrick [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2014-05-01

    Exascale data environments are fast approaching, driven by diverse structured and unstructured data such as system and application telemetry streams, open-source information capture, and on-demand simulation output. Storage costs having plummeted, the question is now one of converting vast stores of data to actionable information. Complicating this problem are the low degrees of awareness across domain boundaries about what potentially useful data may exist, and write-once- read-never issues (data generation/collection rates outpacing data analysis and integration rates). Increasingly, technologists and researchers need to correlate previously unrelated data sources and artifacts to produce fused data views for domain-specific purposes. New tools and approaches for creating such views from vast amounts of data are vitally important to maintaining research and operational momentum. We propose to research and develop tools and services to assist in the creation, refinement, discovery and reuse of fused data views over large, diverse collections of heterogeneously structured data. We innovate in the following ways. First, we enable and encourage end-users to introduce customized index methods selected for local benefit rather than for global interaction (flexible multi-indexing). We envision rich combinations of such views on application data: views that span backing stores with different semantics, that introduce analytic methods of indexing, and that define multiple views on individual data items. We specifically decline to build a big fused database of everything providing a centralized index over all data, or to export a rigid schema to all comers as in federated query approaches. Second, we proactively advertise these application-specific views so that they may be programmatically reused and extended (data proactivity). Through this mechanism, both changes in state (new data in existing view collected) and changes in structure (new or derived view exists) are

  11. Content-dependent on-the-fly visual information fusion for battlefield scenarios

    Science.gov (United States)

    Aubailly, Mathieu; Vorontsov, Mikhail A.; Carhart, Gary; Liu, J. Jiang; Espinola, Richard

    2012-06-01

    We report on cooperative research program between Army Research Laboratory (ARL), Night Vision and Electronic Sensors Directorate (NVESD), and University of Maryland (UMD). The program aims to develop advanced on-the-fly atmospheric image processing techniques based on local information fusion from a single or multiple monochrome and color live video streams captured by imaging sensors in combat or reconnaissance situations. Local information fusion can be based on various local metrics including local image quality, local image-area motion, spatio-temporal characteristics of image content, etc. Tools developed in this program are used to identify and fuse critical information to enhance target identification and situational understanding in conditions of severe atmospheric turbulence.

  12. Information fusion control with time delay for smooth pursuit eye movement.

    Science.gov (United States)

    Zhang, Menghua; Ma, Xin; Qin, Bin; Wang, Guangmao; Guo, Yanan; Xu, Zhigang; Wang, Yafang; Li, Yibin

    2016-05-01

    Smooth pursuit eye movement depends on prediction and learning, and is subject to time delays in the visual pathways. In this paper, an information fusion control method with time delay is presented, implementing smooth pursuit eye movement with prediction and learning as well as solving the problem of time delays in the visual pathways. By fusing the soft constraint information of the target trajectory of eyes and the ideal control strategy, and the hard constraint information of the eye system state equation and the output equation, optimal estimations of the co-state sequence and the control variable are obtained. The proposed control method can track not only constant velocity, sinusoidal target motion, but also arbitrary moving targets. Moreover, the absolute value of the retinal slip reaches steady state after 0.1 sec. Information fusion control method elegantly describes in a function manner how the brain may deal with arbitrary target velocities, how it implements the smooth pursuit eye movement with prediction, learning, and time delays. These two principles allowed us to accurately describe visually guided, predictive and learning smooth pursuit dynamics observed in a wide variety of tasks within a single theoretical framework. The tracking control performance of the proposed information fusion control with time delays is verified by numerical simulation results.

  13. Fast obstacle detection based on multi-sensor information fusion

    Science.gov (United States)

    Lu, Linli; Ying, Jie

    2014-11-01

    Obstacle detection is one of the key problems in areas such as driving assistance and mobile robot navigation, which cannot meet the actual demand by using a single sensor. A method is proposed to realize the real-time access to the information of the obstacle in front of the robot and calculating the real size of the obstacle area according to the mechanism of the triangle similarity in process of imaging by fusing datum from a camera and an ultrasonic sensor, which supports the local path planning decision. In the part of image analyzing, the obstacle detection region is limited according to complementary principle. We chose ultrasonic detection range as the region for obstacle detection when the obstacle is relatively near the robot, and the travelling road area in front of the robot is the region for a relatively-long-distance detection. The obstacle detection algorithm is adapted from a powerful background subtraction algorithm ViBe: Visual Background Extractor. We extracted an obstacle free region in front of the robot in the initial frame, this region provided a reference sample set of gray scale value for obstacle detection. Experiments of detecting different obstacles at different distances respectively, give the accuracy of the obstacle detection and the error percentage between the calculated size and the actual size of the detected obstacle. Experimental results show that the detection scheme can effectively detect obstacles in front of the robot and provide size of the obstacle with relatively high dimensional accuracy.

  14. Development of an Information Fusion System for Engine Diagnostics and Health Management

    Science.gov (United States)

    Volponi, Allan J.; Brotherton, Tom; Luppold, Robert; Simon, Donald L.

    2004-01-01

    Aircraft gas-turbine engine data are available from a variety of sources including on-board sensor measurements, maintenance histories, and component models. An ultimate goal of Propulsion Health Management (PHM) is to maximize the amount of meaningful information that can be extracted from disparate data sources to obtain comprehensive diagnostic and prognostic knowledge regarding the health of the engine. Data Fusion is the integration of data or information from multiple sources, to achieve improved accuracy and more specific inferences than can be obtained from the use of a single sensor alone. The basic tenet underlying the data/information fusion concept is to leverage all available information to enhance diagnostic visibility, increase diagnostic reliability and reduce the number of diagnostic false alarms. This paper describes a basic PHM Data Fusion architecture being developed in alignment with the NASA C17 Propulsion Health Management (PHM) Flight Test program. The challenge of how to maximize the meaningful information extracted from disparate data sources to obtain enhanced diagnostic and prognostic information regarding the health and condition of the engine is the primary goal of this endeavor. To address this challenge, NASA Glenn Research Center (GRC), NASA Dryden Flight Research Center (DFRC) and Pratt & Whitney (P&W) have formed a team with several small innovative technology companies to plan and conduct a research project in the area of data fusion as applied to PHM. Methodologies being developed and evaluated have been drawn from a wide range of areas including artificial intelligence, pattern recognition, statistical estimation, and fuzzy logic. This paper will provide a broad overview of this work, discuss some of the methodologies employed and give some illustrative examples.

  15. Googling in anatomy education: Can google trends inform educators of national online search patterns of anatomical syllabi?

    Science.gov (United States)

    Phelan, Nigel; Davy, Shane; O'Keeffe, Gerard W; Barry, Denis S

    2017-03-01

    The role of e-learning platforms in anatomy education continues to expand as self-directed learning is promoted in higher education. Although a wide range of e-learning resources are available, determining student use of non-academic internet resources requires novel approaches. One such approach that may be useful is the Google Trends(©) web application. To determine the feasibility of Google Trends to gain insights into anatomy-related online searches, Google Trends data from the United States from January 2010 to December 2015 were analyzed. Data collected were based on the recurrence of keywords related to head and neck anatomy generated from the American Association of Clinical Anatomists and the Anatomical Society suggested anatomy syllabi. Relative search volume (RSV) data were analyzed for seasonal periodicity and their overall temporal trends. Following exclusions due to insufficient search volume data, 29 out of 36 search terms were analyzed. Significant seasonal patterns occurred in 23 search terms. Thirty-nine seasonal peaks were identified, mainly in October and April, coinciding with teaching periods in anatomy curricula. A positive correlation of RSV with time over the 6-year study period occurred in 25 out of 29 search terms. These data demonstrate how Google Trends may offer insights into the nature and timing of online search patterns of anatomical syllabi and may potentially inform the development and timing of targeted online supports to ensure that students of anatomy have the opportunity to engage with online content that is both accurate and fit for purpose. Anat Sci Educ 10: 152-159. © 2016 American Association of Anatomists.

  16. Research of the Fault Diagnosis Method for the Thruster of AUV Based on Information Fusion

    Science.gov (United States)

    Wang, Yu-Jia; Zhang, Ming-Jun; Wu, Juan

    Aiming at the problem of thruster fault diagnosis of AUV, the motion condition model of AUV based on the improved dynamic recursive Elman neural network, and the performance model of thruster based on the Radial Basis Function network were established. And the fault fusion diagnosis method was proposed according to the overall and local fault detection. Through comparing the output value of motion condition model with the measured value of actual speed and angle, it obtained the overall fault information. Also, it obtained the direct fault information through analyzing the residual which was produced by comparing the output of the performance model with the measured value of the actual voltage and current of the each thruster. According to the decision level information fusion of two kinds of information, it realized the fault diagnosis of thrusters and analyzed the fault degree and reliability. The results of the fault-simulation experiment show that the proposed fault fusion diagnosis method for the thruster of AUV is feasible and effective.

  17. Evaluation Model for Capability of Enterprise Agent Coalition Based on Information Fusion and Attribute Reduction

    Institute of Scientific and Technical Information of China (English)

    Dongjun Liu; Li Li; and Jiayang Wang

    2016-01-01

    For the issue of evaluation of capability of enterprise agent coalition, an evaluation model based on information fusion and entropy weighting method is presented. The attribute reduction method is utilized to reduce indicators of the capability according to the theory of rough set. The new indicator system can be determined. Attribute reduction can also reduce the workload and remove the redundant information, when there are too many indicators or the indicators have strong correlation. The research complexity can be reduced and the efficiency can be improved. Entropy weighting method is used to determine the weights of the remaining indicators, and the importance of indicators is analyzed. The information fusion model based on nearest neighbor method is developed and utilized to evaluate the capability of multiple agent coalitions, compared to cloud evaluation model and D-S evidence method. Simulation results are reasonable and with obvious distinction. Thus they verify the effectiveness and feasibility of the model. The information fusion model can provide more scientific, rational decision support for choosing the best agent coalition, and provide innovative steps for the evaluation process of capability of agent coalitions.

  18. Automated DICOM metadata and volumetric anatomical information extraction for radiation dosimetry

    Science.gov (United States)

    Papamichail, D.; Ploussi, A.; Kordolaimi, S.; Karavasilis, E.; Papadimitroulas, P.; Syrgiamiotis, V.; Efstathopoulos, E.

    2015-09-01

    Patient-specific dosimetry calculations based on simulation techniques have as a prerequisite the modeling of the modality system and the creation of voxelized phantoms. This procedure requires the knowledge of scanning parameters and patients’ information included in a DICOM file as well as image segmentation. However, the extraction of this information is complicated and time-consuming. The objective of this study was to develop a simple graphical user interface (GUI) to (i) automatically extract metadata from every slice image of a DICOM file in a single query and (ii) interactively specify the regions of interest (ROI) without explicit access to the radiology information system. The user-friendly application developed in Matlab environment. The user can select a series of DICOM files and manage their text and graphical data. The metadata are automatically formatted and presented to the user as a Microsoft Excel file. The volumetric maps are formed by interactively specifying the ROIs and by assigning a specific value in every ROI. The result is stored in DICOM format, for data and trend analysis. The developed GUI is easy, fast and and constitutes a very useful tool for individualized dosimetry. One of the future goals is to incorporate a remote access to a PACS server functionality.

  19. An Adaptive Altitude Information Fusion Method for Autonomous Landing Processes of Small Unmanned Aerial Rotorcraft

    Directory of Open Access Journals (Sweden)

    Xusheng Lei

    2012-09-01

    Full Text Available This paper presents an adaptive information fusion method to improve the accuracy and reliability of the altitude measurement information for small unmanned aerial rotorcraft during the landing process. Focusing on the low measurement performance of sensors mounted on small unmanned aerial rotorcraft, a wavelet filter is applied as a pre-filter to attenuate the high frequency noises in the sensor output. Furthermore, to improve altitude information, an adaptive extended Kalman filter based on a maximum a posteriori criterion is proposed to estimate measurement noise covariance matrix in real time. Finally, the effectiveness of the proposed method is proved by static tests, hovering flight and autonomous landing flight tests.

  20. A Study on Integrated Wavelet Neural Networks in Fault Diagnosis Based on Information Fusion

    Institute of Scientific and Technical Information of China (English)

    ANG Xue-ye

    2007-01-01

    The tight wavelet neural network was constituted by taking the nonlinear Morlet wavelet radices as the excitation function. The idiographic algorithm was presented. It combined the advantages of wavelet analysis and neural networks. The integrated wavelet neural network fault diagnosis system was set up based on both the information fusion technology and actual fault diagnosis, which took the sub-wavelet neural network as primary diagnosis from different sides, then came to the conclusions through decision-making fusion. The realizable policy of the diagnosis system and established principle of the sub-wavelet neural networks were given . It can be deduced from the examples that it takes full advantage of diversified characteristic information, and improves the diagnosis rate.

  1. Application of the fault diagnosis strategy based on hierarchical information fusion in motors fault diagnosis

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    This paper has analyzed merits and demerits of both neural network technique and of the information fusion methods based on the D-S (dempster-shafer evidence) Theory as well as their complementarity, proposed the hierarchical information fusion fault diagnosis strategy by combining the neural network technique and the fused decision diagnosis based on D-S Theory, and established a corresponding functional model. Thus, we can not only solve a series of problems caused by rapid growth in size and complexity of neural network structure with diagnosis parameters increasing, but also can provide effective method for basic probability assignment in D-S Theory. The application of the strategy to diagnosing faults of motor bearings has proved that this method is of fairly high accuracy and reliability in fault diagnosis.

  2. Visualization of Anatomical Information in Near-Infrared Imaging for Robotic Urological Surgery

    DEFF Research Database (Denmark)

    Savarimuthu, Thiusius Rajeeth; Minnillo, Brian; Taylor, Russels

    2011-01-01

    it may not relate to the surface visible in the visual endoscopic images. As critical surfaces as well as surgical targets often lie subsurface, a range of techniques (e.g. ultrasound and near-infrared imaging) and registration methods have been investigated as robotic surgery gains popularity. While......Commercial telerobotic surgery systems for soft tissue surgery are generally limited to visual imaging, though it is possible to simultaneously view picture-in-picture visualization of another workstation. However, it is not easy to correlate such information with the primary endoscopic view since...

  3. 交通运输信息融合功能模型%Transportation Information Fusion Function Model

    Institute of Scientific and Technical Information of China (English)

    刘澜; 马亚峰; 尹俊淞; 贾海亮

    2012-01-01

    The achievements of the general information fusion function models and transportation applications were reviewed, and the involved relations and disjointedness were also pointed out. Aiming at the information essence and function characters of transportation applications, this paper defined a general concept of transportation information fusion and established a function model. The function model of transportation information fusion introduced the classification of the perception information and abiotic information for the information sources of transportation applications, designed five function levels of the information fusion, that is, collection and verification fusion, state and character fusion, prediction and evaluation fusion, plan and design fusion, and comprehensive decision-making fusion, all of which were fallen into two layers of perception information and abiotic information. Three applied patterns of the five function levels of the information fusion were presented at the same time. The proposed model information operating functions with different transportation applications, it bears coherence with the common function model of multisensor data fusion. At last, corresponding function model of information fusion for traffic congestion management was presented as a practical example.%综述一般信息融合功能模型和交通运输信息融合应用的进展,指出这两个方面的联系和差异。针对交通运输应用的信息本质和功能特性,提出交通运输信息融合的一般定义,并建立了交通运输信息融合功能模型。模型对信源引入机器信息与认知信息的划分,提出了分属机器信息和认知信息两个层次的采集校验融合、状态特征融合、预测评估融合、规划设计融合和综合决策融合五级信息融合功能,提供了五级融合功能的三种应用模式,实现了不同交通运输应用功能与信息操作功能的衔接,与一般多传感器数据融

  4. Hierarchical information fusion for global displacement estimation in microsensor motion capture.

    Science.gov (United States)

    Meng, Xiaoli; Zhang, Zhi-Qiang; Wu, Jian-Kang; Wong, Wai-Choong

    2013-07-01

    This paper presents a novel hierarchical information fusion algorithm to obtain human global displacement for different gait patterns, including walking, running, and hopping based on seven body-worn inertial and magnetic measurement units. In the first-level sensor fusion, the orientation for each segment is achieved by a complementary Kalman filter (CKF) which compensates for the orientation error of the inertial navigation system solution through its error state vector. For each foot segment, the displacement is also estimated by the CKF, and zero velocity update is included for the drift reduction in foot displacement estimation. Based on the segment orientations and left/right foot locations, two global displacement estimates can be acquired from left/right lower limb separately using a linked biomechanical model. In the second-level geometric fusion, another Kalman filter is deployed to compensate for the difference between the two estimates from the sensor fusion and get more accurate overall global displacement estimation. The updated global displacement will be transmitted to left/right foot based on the human lower biomechanical model to restrict the drifts in both feet displacements. The experimental results have shown that our proposed method can accurately estimate human locomotion for the three different gait patterns with regard to the optical motion tracker.

  5. Functionally informed cortex based alignment: an integrated approach for whole-cortex macro-anatomical and ROI-based functional alignment.

    Science.gov (United States)

    Frost, Martin A; Goebel, Rainer

    2013-12-01

    Due to anatomical variability across subjects many brain mapping experiments have analysis focused on a few particular regions of interest so as to circumvent the problem of sub-optimal statistics resulting from the lack of anatomical correspondence across subjects. Since the topographic distribution of experimental effects across the cortex is also often of interest, two separate analyses are often conducted, one on the regions of interest alone, as well as a separate 'whole brain' analysis with sub-optimal spatial correspondence across brains. In this paper we present a new group alignment procedure which incorporates, from each subject, both macro-anatomical (curvature) information and functional information from standard localizer experiments. After specifying appropriate parameters to weight anatomical and functional alignment forces, we were able to create a group cortical reconstruction which was well aligned in terms of both anatomical and functional areas. We observed an increase in the overlap of functional areas as well as an improvement in group statistics following this integrated alignment procedure. We propose that, using this alignment scheme, two separate analyses may not be necessary as both analyses can be integrated into a single procedure. After an integrated structural and functional alignment one is able to carry out a whole brain analysis with improved statistical sensitivity due to the reduction in spatial variation in the location of functional regions of interest which fCBA accomplishes. Furthermore, regions in the vicinity of localised and aligned regions-of-interest will also benefit from the integrated alignment.

  6. Algorithms for biomagnetic source imaging with prior anatomical and physiological information

    Energy Technology Data Exchange (ETDEWEB)

    Hughett, Paul William [Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences

    1995-12-01

    This dissertation derives a new method for estimating current source amplitudes in the brain and heart from external magnetic field measurements and prior knowledge about the probable source positions and amplitudes. The minimum mean square error estimator for the linear inverse problem with statistical prior information was derived and is called the optimal constrained linear inverse method (OCLIM). OCLIM includes as special cases the Shim-Cho weighted pseudoinverse and Wiener estimators but allows more general priors and thus reduces the reconstruction error. Efficient algorithms were developed to compute the OCLIM estimate for instantaneous or time series data. The method was tested in a simulated neuromagnetic imaging problem with five simultaneously active sources on a grid of 387 possible source locations; all five sources were resolved, even though the true sources were not exactly at the modeled source positions and the true source statistics differed from the assumed statistics.

  7. Detecting Weather Radar Clutter by Information Fusion With Satellite Images and Numerical Weather Prediction Model Output

    DEFF Research Database (Denmark)

    Bøvith, Thomas; Nielsen, Allan Aasbjerg; Hansen, Lars Kai;

    2006-01-01

    A method for detecting clutter in weather radar images by information fusion is presented. Radar data, satellite images, and output from a numerical weather prediction model are combined and the radar echoes are classified using supervised classification. The presented method uses indirect...... information on precipitation in the atmosphere from Meteosat-8 multispectral images and near-surface temperature estimates from the DMI-HIRLAM-S05 numerical weather prediction model. Alternatively, an operational nowcasting product called 'Precipitating Clouds' based on Meteosat-8 input is used. A scale...

  8. Application of fuzzy logic in weighted information of fusion fingerprints and palm prints

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    It is a developing job to distinguish identifications with information fusion of fingerprints and palm prints. It is also a very effective way to resolve the problem of low identification rate and low stability of single biology characteristic identification. Based on the theory of fuzzy logic theory, we bring out the method of obfuscating weigh coefficient and reliability to fuse the information of fingerprints and palm prints to realize high identification rate. The experiment proves the feasibility and effectiveness of this method and the identification rate can be more than 90% , which contributes useful experience to the research of identification using biology characteristics.

  9. Anatomically weighted second-order total variation reconstruction of 23Na MRI using prior information from 1H MRI.

    Science.gov (United States)

    Gnahm, Christine; Nagel, Armin M

    2015-01-15

    Sodium ((23)Na) MRI is a noninvasive tool to assess cell viability, which is linked to the total tissue sodium concentration (TSC). However, due to low in vivo concentrations, (23)Na MRI suffers from low signal-to-noise ratio (SNR) and limited spatial resolution. As a result, image quality is compromised by Gibbs ringing artifacts and partial volume effects. An iterative reconstruction algorithm that incorporates prior information from (1)H MRI is developed to reduce partial volume effects and to increase the SNR in non-proton MRI. Anatomically weighted second-order total variation (AnaWeTV) is proposed as a constraint for compressed sensing reconstruction of 3D projection reconstruction (3DPR) data. The method is evaluated in simulations and a MR measurement of a multiple sclerosis (MS) patient by comparing it to gridding and other reconstruction techniques. AnaWeTV increases resolution of known structures and reduces partial volume effects. In simulated MR brain data (nominal resolution Δx(3) = 3 × 3 × 3 mm(3)), the intensity error of four small MS lesions was reduced from (6.9 ± 3.8)% (gridding) to (2.8 ± 1.4)% (AnaWeTV with T2-weighted reference images). Compared to gridding, a substantial SNR increase of 130% was found in the white matter of the MS patient. The algorithm is robust against misalignment of the prior information on the order of the (23)Na image resolution. Features without prior information are still reconstructed with high contrast. AnaWeTV allows a more precise quantification of TSC in structures with prior knowledge. Thus, the AnaWeTV algorithm is in particular beneficial for the assessment of tissue structures that are visible in both (23)Na and (1)H MRI.

  10. New approach to information fusion for Lipschitz classifiers ensembles: Application in multi-channel C-OTDR-monitoring systems

    Science.gov (United States)

    Timofeev, Andrey V.; Egorov, Dmitry V.

    2016-06-01

    This paper presents new results concerning selection of an optimal information fusion formula for an ensemble of Lipschitz classifiers. The goal of information fusion is to create an integral classificatory which could provide better generalization ability of the ensemble while achieving a practically acceptable level of effectiveness. The problem of information fusion is very relevant for data processing in multi-channel C-OTDR-monitoring systems. In this case we have to effectively classify targeted events which appear in the vicinity of the monitored object. Solution of this problem is based on usage of an ensemble of Lipschitz classifiers each of which corresponds to a respective channel. We suggest a brand new method for information fusion in case of ensemble of Lipschitz classifiers. This method is called "The Weighing of Inversely as Lipschitz Constants" (WILC). Results of WILC-method practical usage in multichannel C-OTDR monitoring systems are presented.

  11. Design and Implementation of Multi Agent-based Information Fusion System for Supporting Decision Making (A Case Study on Military Operation

    Directory of Open Access Journals (Sweden)

    Arwin Datumaya Wahyudi Sumari

    2008-05-01

    Full Text Available Quick, accurate, and complete information is highly required for supporting strategically impact decision making in a Military Operation (MO in order to reduce the decision cycle and to minimize the loss. For that purpose, we propose, design and implement a hierarchical Multi Agent-based Information Fusion System for Decision Making Support (MAIFS-DMS. The information fusion is implemented by applying Maximum Score of the Total Sum of Joint Probabilities (MSJP fusion method and is done by a collection of Information Fusion Agents (IFA that forms a multiagent system. MAIFS uses a combination of generalization of Dasarathy and Joint Director’s Laboratory (JDL process models for information fusion mechanism. Information fusion products that are displayed in graphical forms provide comprehensive information regarding the MO area dynamics. By observing the graphics resulted from the information fusion, the commandant will have situational awareness and knowledge in order to make the most accurate strategic decision as fast as possible

  12. Combining cognitive engineering and information fusion architectures to build effective joint systems

    Science.gov (United States)

    Sliva, Amy L.; Gorman, Joe; Voshell, Martin; Tittle, James; Bowman, Christopher

    2016-05-01

    The Dual Node Decision Wheels (DNDW) architecture concept was previously described as a novel approach toward integrating analytic and decision-making processes in joint human/automation systems in highly complex sociotechnical settings. In this paper, we extend the DNDW construct with a description of components in this framework, combining structures of the Dual Node Network (DNN) for Information Fusion and Resource Management with extensions on Rasmussen's Decision Ladder (DL) to provide guidance on constructing information systems that better serve decision-making support requirements. The DNN takes a component-centered approach to system design, decomposing each asset in terms of data inputs and outputs according to their roles and interactions in a fusion network. However, to ensure relevancy to and organizational fitment within command and control (C2) processes, principles from cognitive systems engineering emphasize that system design must take a human-centered systems view, integrating information needs and decision making requirements to drive the architecture design and capabilities of network assets. In the current work, we present an approach for structuring and assessing DNDW systems that uses a unique hybrid DNN top-down system design with a human-centered process design, combining DNN node decomposition with artifacts from cognitive analysis (i.e., system abstraction decomposition models, decision ladders) to provide work domain and task-level insights at different levels in an example intelligence, surveillance, and reconnaissance (ISR) system setting. This DNDW structure will ensure not only that the information fusion technologies and processes are structured effectively, but that the resulting information products will align with the requirements of human decision makers and be adaptable to different work settings .

  13. Information Fusion-Based Optimal Attitude Control for an Alterable Thrust Direction Unmanned Aerial Vehicle

    Directory of Open Access Journals (Sweden)

    Ziyang Zhen

    2013-01-01

    Full Text Available Attitude control is the inner‐loop and the most important part of the automatic flight control system of an unmanned aerial vehicle (UAV. The information fusion‐based optimal control method is applied in a UAV flight control system in this work. Firstly, a nonlinear model of alterable thrust direction UAV (ATD‐UAV is established and linearized for controller design. The longitudinal controller and lateral controller are respectively designed based on information fusion‐based optimal control, and then the information fusion flight control system is built up. Finally, the simulation of a nonlinear model described as ATD‐UAV is carried out, the results of which show the superiority of the information fusion‐based control strategy when compared to the single‐loop design method. We also show that the ATD technique improves the anti‐disturbance capacity of the UAV.

  14. Coal blending scheduling in coal preparation plant based on multi-sensor information fusion

    Energy Technology Data Exchange (ETDEWEB)

    Gao, L.; Yu, H.; Wang, Y. [CUMT, Xuzhou (China). School of Information and Electrical Engineering

    2004-01-01

    It is important to research on a reasonable blending schedule according to the customer requirement and the practice of products in coal preparation plant. In order to solve this problem, a mathematic model was set up on the basis of analysing coal blending schedule. Multi-sensors information fusion was used to monitor the density and the amount of coal. The genetic algorithm was used to solve the nonlinear function in the maths model. A satisfied result was obtained by simulating test. 8 refs., 2 figs.

  15. Fusion of Range and Intensity Information for View Invariant Gesture Recognition

    DEFF Research Database (Denmark)

    Holte, Michael Boelstoft; Moeslund, Thomas B.; Fihl, Preben

    2008-01-01

    This paper presents a system for view invariant gesture recognition. The approach is based on 3D data from a CSEM SwissRanger SR-2 camera. This camera produces both a depth map as well as an intensity image of a scene. Since the two information types are aligned, we can use the intensity image...... to define a region of interest for the relevant 3D data. This data fusion improves the quality of the range data and hence results in better recognition. The gesture recognition is based on finding motion primitives in the 3D data. The primitives are represented compactly and view invariant using harmonic...

  16. Classification of weld defect based on information fusion technology for radiographic testing system

    Science.gov (United States)

    Jiang, Hongquan; Liang, Zeming; Gao, Jianmin; Dang, Changying

    2016-03-01

    Improving the efficiency and accuracy of weld defect classification is an important technical problem in developing the radiographic testing system. This paper proposes a novel weld defect classification method based on information fusion technology, Dempster-Shafer evidence theory. First, to characterize weld defects and improve the accuracy of their classification, 11 weld defect features were defined based on the sub-pixel level edges of radiographic images, four of which are presented for the first time in this paper. Second, we applied information fusion technology to combine different features for weld defect classification, including a mass function defined based on the weld defect feature information and the quartile-method-based calculation of standard weld defect class which is to solve a sample problem involving a limited number of training samples. A steam turbine weld defect classification case study is also presented herein to illustrate our technique. The results show that the proposed method can increase the correct classification rate with limited training samples and address the uncertainties associated with weld defect classification.

  17. Sensitivity analysis of biological Boolean networks using information fusion based on nonadditive set functions

    Science.gov (United States)

    2014-01-01

    Background An algebraic method for information fusion based on nonadditive set functions is used to assess the joint contribution of Boolean network attributes to the sensitivity of the network to individual node mutations. The node attributes or characteristics under consideration are: in-degree, out-degree, minimum and average path lengths, bias, average sensitivity of Boolean functions, and canalizing degrees. The impact of node mutations is assessed using as target measure the average Hamming distance between a non-mutated/wild-type network and a mutated network. Results We find that for a biochemical signal transduction network consisting of several main signaling pathways whose nodes represent signaling molecules (mainly proteins), the algebraic method provides a robust classification of attribute contributions. This method indicates that for the biochemical network, the most significant impact is generated mainly by the combined effects of two attributes: out-degree, and average sensitivity of nodes. Conclusions The results support the idea that both topological and dynamical properties of the nodes need to be under consideration. The algebraic method is robust against the choice of initial conditions and partition of data sets in training and testing sets for estimation of the nonadditive set functions of the information fusion procedure. PMID:25189194

  18. Active and Progressive Exoskeleton Rehabilitation Using Multisource Information Fusion From EMG and Force-Position EPP.

    Science.gov (United States)

    Fan, Yuanjie; Yin, Yuehong

    2013-12-01

    Although exoskeletons have received enormous attention and have been widely used in gait training and walking assistance in recent years, few reports addressed their application during early poststroke rehabilitation. This paper presents a healthcare technology for active and progressive early rehabilitation using multisource information fusion from surface electromyography and force-position extended physiological proprioception. The active-compliance control based on interaction force between patient and exoskeleton is applied to accelerate the recovery of the neuromuscular function, whereby progressive treatment through timely evaluation contributes to an effective and appropriate physical rehabilitation. Moreover, a clinic-oriented rehabilitation system, wherein a lower extremity exoskeleton with active compliance is mounted on a standing bed, is designed to ensure comfortable and secure rehabilitation according to the structure and control requirements. Preliminary experiments and clinical trial demonstrate valuable information on the feasibility, safety, and effectiveness of the progressive exoskeleton-assisted training.

  19. Fusion of multiagent preference orderings with information on agent's importance being incomplete certain

    Institute of Scientific and Technical Information of China (English)

    Wang Jianqiang

    2007-01-01

    The problem of fusing multiagent preference orderings, with information on agent's importance being incomplete certain with respect to a set of possible courses of action, is described. The approach is developed for dealing with the fusion problem described in the following sections and requires that each agent provides a preference ordering over the different alternatives completely independent of the other agents, and the information on agent's importance is incomplete certain. In this approach, the ternary comparison matrix of the alternatives is constructed, the eigenvector associated with the maximum eigenvalue of the ternary comparison matrix is attained so as to normalize priority vector of the alternatives. The interval number of the alternatives is then obtained by solving two sorts of linear programming problems. By comparing the interval numbers of the alternatives, the ranking of alternatives can be generated. Finally, some examples are given to show the feasibility and effectiveness of the method.

  20. Nonlinear Fusion of Multispectral Citrus Fruit Image Data with Information Contents

    Science.gov (United States)

    Li, Peilin; Lee, Sang-Heon; Hsu, Hung-Yao; Park, Jae-Sam

    2017-01-01

    The main issue of vison-based automatic harvesting manipulators is the difficulty in the correct fruit identification in the images under natural lighting conditions. Mostly, the solution has been based on a linear combination of color components in the multispectral images. However, the results have not reached a satisfactory level. To overcome this issue, this paper proposes a robust nonlinear fusion method to augment the original color image with the synchronized near infrared image. The two images are fused with Daubechies wavelet transform (DWT) in a multiscale decomposition approach. With DWT, the background noises are reduced and the necessary image features are enhanced by fusing the color contrast of the color components and the homogeneity of the near infrared (NIR) component. The resulting fused color image is classified with a C-means algorithm for reconstruction. The performance of the proposed approach is evaluated with the statistical F measure in comparison to some existing methods using linear combinations of color components. The results show that the fusion of information in different spectral components has the advantage of enhancing the image quality, therefore improving the classification accuracy in citrus fruit identification in natural lighting conditions. PMID:28098797

  1. 3D-information fusion from very high resolution satellite sensors

    Science.gov (United States)

    Krauss, T.; d'Angelo, P.; Kuschk, G.; Tian, J.; Partovi, T.

    2015-04-01

    In this paper we show the pre-processing and potential for environmental applications of very high resolution (VHR) satellite stereo imagery like these from WorldView-2 or Pl'eiades with ground sampling distances (GSD) of half a metre to a metre. To process such data first a dense digital surface model (DSM) has to be generated. Afterwards from this a digital terrain model (DTM) representing the ground and a so called normalized digital elevation model (nDEM) representing off-ground objects are derived. Combining these elevation based data with a spectral classification allows detection and extraction of objects from the satellite scenes. Beside the object extraction also the DSM and DTM can directly be used for simulation and monitoring of environmental issues. Examples are the simulation of floodings, building-volume and people estimation, simulation of noise from roads, wave-propagation for cellphones, wind and light for estimating renewable energy sources, 3D change detection, earthquake preparedness and crisis relief, urban development and sprawl of informal settlements and much more. Also outside of urban areas volume information brings literally a new dimension to earth oberservation tasks like the volume estimations of forests and illegal logging, volume of (illegal) open pit mining activities, estimation of flooding or tsunami risks, dike planning, etc. In this paper we present the preprocessing from the original level-1 satellite data to digital surface models (DSMs), corresponding VHR ortho images and derived digital terrain models (DTMs). From these components we present how a monitoring and decision fusion based 3D change detection can be realized by using different acquisitions. The results are analyzed and assessed to derive quality parameters for the presented method. Finally the usability of 3D information fusion from VHR satellite imagery is discussed and evaluated.

  2. [Determination of wine original regions using information fusion of NIR and MIR spectroscopy].

    Science.gov (United States)

    Xiang, Ling-Li; Li, Meng-Hua; Li, Jing-Mingz; Li, Jun-Hui; Zhang, Lu-Da; Zhao, Long-Lian

    2014-10-01

    Geographical origins of wine grapes are significant factors affecting wine quality and wine prices. Tasters' evaluation is a good method but has some limitations. It is important to discriminate different wine original regions quickly and accurately. The present paper proposed a method to determine wine original regions based on Bayesian information fusion that fused near-infrared (NIR) transmission spectra information and mid-infrared (MIR) ATR spectra information of wines. This method improved the determination results by expanding the sources of analysis information. NIR spectra and MIR spectra of 153 wine samples from four different regions of grape growing were collected by near-infrared and mid-infrared Fourier transform spe trometer separately. These four different regions are Huailai, Yantai, Gansu and Changli, which areall typical geographical originals for Chinese wines. NIR and MIR discriminant models for wine regions were established using partial least squares discriminant analysis (PLS-DA) based on NIR spectra and MIR spectra separately. In PLS-DA, the regions of wine samples are presented in group of binary code. There are four wine regions in this paper, thereby using four nodes standing for categorical variables. The output nodes values for each sample in NIR and MIR models were normalized first. These values stand for the probabilities of each sample belonging to each category. They seemed as the input to the Bayesian discriminant formula as a priori probability value. The probabilities were substituteed into the Bayesian formula to get posterior probabilities, by which we can judge the new class characteristics of these samples. Considering the stability of PLS-DA models, all the wine samples were divided into calibration sets and validation sets randomly for ten times. The results of NIR and MIR discriminant models of four wine regions were as follows: the average accuracy rates of calibration sets were 78.21% (NIR) and 82.57% (MIR), and the

  3. Fault tolerant multi-sensor fusion based on the information gain

    Science.gov (United States)

    Hage, Joelle Al; El Najjar, Maan E.; Pomorski, Denis

    2017-01-01

    In the last decade, multi-robot systems are used in several applications like for example, the army, the intervention areas presenting danger to human life, the management of natural disasters, the environmental monitoring, exploration and agriculture. The integrity of localization of the robots must be ensured in order to achieve their mission in the best conditions. Robots are equipped with proprioceptive (encoders, gyroscope) and exteroceptive sensors (Kinect). However, these sensors could be affected by various faults types that can be assimilated to erroneous measurements, bias, outliers, drifts,… In absence of a sensor fault diagnosis step, the integrity and the continuity of the localization are affected. In this work, we present a muti-sensors fusion approach with Fault Detection and Exclusion (FDE) based on the information theory. In this context, we are interested by the information gain given by an observation which may be relevant when dealing with the fault tolerance aspect. Moreover, threshold optimization based on the quantity of information given by a decision on the true hypothesis is highlighted.

  4. Key Information Retrieval in Hyperspectral Imagery through Spatial-Spectral Data Fusion

    Directory of Open Access Journals (Sweden)

    F. A. Mianji

    2010-12-01

    Full Text Available Hyperspectral (HS imaging is measuring the radiance of materials within each pixel area at a large number of contiguous spectral wavelength bands. The key spatial information such as small targets and border lines are hard to be precisely detected from HS data due to the technological constraints. Therefore, the need for image processing techniques is an important field of research in HS remote sensing. A novel semisupervised spatial-spectral data fusion method for resolution enhancement of HS images through maximizing the spatial correlation of the endmembers (signature of pure or purest materials in the scene using a superresolution mapping (SRM technique is proposed in this paper. The method adopts a linear mixture model and a fully constrained least squares spectral unmixing algorithm to obtain the endmember abundances (fractional images of HS images. Then, the extracted endmember distribution maps are fused with the spatial information using a spatial-spectral correlation maximizing model and a learning-based SRM technique to exploit the subpixel level data. The obtained results validate the reliability of the technique for key information retrieval. The proposed method is very efficient and is low in terms of computational cost which makes it favorable for real-time applications.

  5. Multi-sensors data and information fusion algorithm for indoor localization

    Directory of Open Access Journals (Sweden)

    XIA Jun

    2015-02-01

    Full Text Available The localization algorithm of based on IMU is one of autonomous localization methods while it possesses the disadvantage of drift error and accumulated error,so this paper proposes a multi-sensors including wearable multi-IMUs and IWSN data and information fusion algorithm for indoor localization.On the one hand,almost all indoor localization algorithms based on IMU use only one IMU while this single-IMU-based algorithm can′t judge the posture of person precisely,one appropriate solution is that we can utilize multi-IMUs to cooperate in localization process,besides,we can fuse position information of multi-IMUs by fuzzy voting scheme.On the other hand,in order to overcome the disadvantage of drift error and accumulate error,combining with IWSN in indoor and fusing the position information calculated by IWSN and multi-IMUs via Kalman Filter algorithm.Experiment results show that the proposed indoor localization algorithm possesses good property in judging posture of person and decreasing drift error and accumulate error comparing with traditional IMU-based indoor localization algorithm.

  6. Experimental Study on Bioluminescence Tomography with Multimodality Fusion

    Directory of Open Access Journals (Sweden)

    Yujie Lv

    2007-01-01

    Full Text Available To verify the influence of a priori information on the nonuniqueness problem of bioluminescence tomography (BLT, the multimodality imaging fusion based BLT experiment is performed by multiview noncontact detection mode, which incorporates the anatomical information obtained by the microCT scanner and the background optical properties based on diffuse reflectance measurements. In the reconstruction procedure, the utilization of adaptive finite element methods (FEMs and a priori permissible source region refines the reconstructed results and improves numerical robustness and efficiency. The comparison between the absence and employment of a priori information shows that multimodality imaging fusion is essential to quantitative BLT reconstruction.

  7. Experimental Study on Bioluminescence Tomography with Multimodality Fusion

    Science.gov (United States)

    Lv, Yujie; Tian, Jie; Cong, Wenxiang; Wang, Ge

    2007-01-01

    To verify the influence of a priori information on the nonuniqueness problem of bioluminescence tomography (BLT), the multimodality imaging fusion based BLT experiment is performed by multiview noncontact detection mode, which incorporates the anatomical information obtained by the microCT scanner and the background optical properties based on diffuse reflectance measurements. In the reconstruction procedure, the utilization of adaptive finite element methods (FEMs) and a priori permissible source region refines the reconstructed results and improves numerical robustness and efficiency. The comparison between the absence and employment of a priori information shows that multimodality imaging fusion is essential to quantitative BLT reconstruction. PMID:18256736

  8. A new paradigm for variable-fidelity stochastic simulation and information fusion in fluid mechanics

    Science.gov (United States)

    Venturi, Daniele; Parussini, Lucia; Perdikaris, Paris; Karniadakis, George

    2015-11-01

    Predicting the statistical properties of fluid systems based on stochastic simulations and experimental data is a problem of major interest across many disciplines. Even with recent theoretical and computational advancements, no broadly applicable techniques exist that could deal effectively with uncertainty propagation and model inadequacy in high-dimensions. To address these problems, we propose a new paradigm for variable-fidelity stochastic modeling, simulation and information fusion in fluid mechanics. The key idea relies in employing recursive Bayesian networks and multi-fidelity information sources (e.g., stochastic simulations at different resolution) to construct optimal predictors for quantities of interest, e.g., the random temperature field in stochastic Rayleigh-Bénard convection. The object of inference is the quantity of interest at the highest possible level of fidelity, for which we can usually afford only few simulations. To compute the optimal predictors, we developed a multivariate recursive co-kriging approach that simultaneously takes into account variable fidelity in the space of models (e.g., DNS vs. potential flow solvers), as well as variable-fidelity in probability space. Numerical applications are presented and discussed. This research was supported by AFOSR and DARPA.

  9. Human detection from a mobile robot using fusion of laser and vision information.

    Science.gov (United States)

    Fotiadis, Efstathios P; Garzón, Mario; Barrientos, Antonio

    2013-09-04

    This paper presents a human detection system that can be employed on board a mobile platform for use in autonomous surveillance of large outdoor infrastructures. The prediction is based on the fusion of two detection modules, one for the laser and another for the vision data. In the laser module, a novel feature set that better encapsulates variations due to noise, distance and human pose is proposed. This enhances the generalization of the system, while at the same time, increasing the outdoor performance in comparison with current methods. The vision module uses the combination of the histogram of oriented gradients descriptor and the linear support vector machine classifier. Current approaches use a fixed-size projection to define regions of interest on the image data using the range information from the laser range finder. When applied to small size unmanned ground vehicles, these techniques suffer from misalignment, due to platform vibrations and terrain irregularities. This is effectively addressed in this work by using a novel adaptive projection technique, which is based on a probabilistic formulation of the classifier performance. Finally, a probability calibration step is introduced in order to optimally fuse the information from both modules. Experiments in real world environments demonstrate the robustness of the proposed method.

  10. Human Detection from a Mobile Robot Using Fusion of Laser and Vision Information

    Directory of Open Access Journals (Sweden)

    Antonio Barrientos

    2013-09-01

    Full Text Available This paper presents a human detection system that can be employed on board a mobile platform for use in autonomous surveillance of large outdoor infrastructures. The prediction is based on the fusion of two detection modules, one for the laser and another for the vision data. In the laser module, a novel feature set that better encapsulates variations due to noise, distance and human pose is proposed. This enhances the generalization of the system, while at the same time, increasing the outdoor performance in comparison with current methods. The vision module uses the combination of the histogram of oriented gradients descriptor and the linear support vector machine classifier. Current approaches use a fixed-size projection to define regions of interest on the image data using the range information from the laser range finder. When applied to small size unmanned ground vehicles, these techniques suffer from misalignment, due to platform vibrations and terrain irregularities. This is effectively addressed in this work by using a novel adaptive projection technique, which is based on a probabilistic formulation of the classifier performance. Finally, a probability calibration step is introduced in order to optimally fuse the information from both modules. Experiments in real world environments demonstrate the robustness of the proposed method.

  11. The anatomic study and clinical significance of the modified transforaminal lumbar interbody fusion%改良经椎间孔腰椎椎体间融合术的解剖学研究及临床意义

    Institute of Scientific and Technical Information of China (English)

    姜建元; 马昕; 吕飞舟; 王洪立; 陈文钧; 马晓生; 夏新雷

    2009-01-01

    目的 对传统的经椎间孔腰椎椎体间融合术(TLIF)进行改良并探讨其临床意义.方法 在12具新鲜成人尸体上完成传统后路腰椎椎体间融合(PLW)和THF术式,扩大解剖显露周围结构,根据解剖学研究发现提出改良TLIF手术方式,并在12具新鲜尸体上操作、完成该术式,对其可行性及潜在优势进行分析.结果 前期的解剖学研究发现传统PLIF和TLIF手术在行椎间融合时相应神经根张力较高,存在一定的损伤风险,同时发现在一侧上关节突与棘突及棘间韧带等中间结构之间存在一定的可操作区域.提出了将PLIF工作区域外移,TLIF工作区域内移的改良TLIF手术人路,即:采取后正中入路,保留棘突、椎板上缘、棘上、棘间韧带等后结构,剥离双侧椎旁肌,暴露椎板及关节突关节,不暴露横突,切除一侧下关节突及椎板下2/3(暴露上关节突关节面),单侧斜向处理椎间隙而行椎体间融合.在12具新鲜成人尸体上顺利模拟完成了改良TLIF手术,结果显示该术式具有以下优势:(1)不必暴露横突,保留棘突、椎板上缘、棘上、棘间韧带等后结构,仅咬除一侧下关节突及椎板下2/3;(2)中央管及术侧侧隐窝及神经根管可同时有效减压;(3)斜向处理目标椎间隙,后正中结构的保留有效地限制了对硬膜囊及下位神经根的牵拉,术中无需暴露上位神经根,不易损伤上位神经根.结论 改良TLIF手术入路安全可行,理论上可以有效地降低神经根损伤的发生率,对于绝大多数国人腰椎疾患患者可能是一个较理想的选择.%Objective To put some improvements to the traditional transforaminal lumbar interbody fusion (TLIF) and discuss its clinical significance. Methods Completed the traditional posterior lumbar interbody fusion (PLIF) and TLIF procedure in 12 fresh cadavers, dissect further to expose the surrounding anatomical structures, and put the modified TLIF surgery according to

  12. Learning the Fusion of Audio and Video Aggression Assessment by Meta-Information from Human Annotations

    NARCIS (Netherlands)

    Lefter, I.; Burghouts, G.J.; Rothkrantz, L.J.M.

    2012-01-01

    The focus of this paper is finding a method to predict aggression using a multimodal system, given multiple unimodal features. The mechanism underlying multimodal sensor fusion is complex and not completely clear. We try to understand the process of fusion and make it more transparent. As a case stu

  13. Designing Image Operators for MRI-PET Image Fusion of the Brain

    Science.gov (United States)

    Márquez, Jorge; Gastélum, Alfonso; Padilla, Miguel A.

    2006-09-01

    Our goal is to obtain images combining in a useful and precise way the information from 3D volumes of medical imaging sets. We address two modalities combining anatomy (Magnetic Resonance Imaging or MRI) and functional information (Positron Emission Tomography or PET). Commercial imaging software offers image fusion tools based on fixed blending or color-channel combination of two modalities, and color Look-Up Tables (LUTs), without considering the anatomical and functional character of the image features. We used a sensible approach for image fusion taking advantage mainly from the HSL (Hue, Saturation and Luminosity) color space, in order to enhance the fusion results. We further tested operators for gradient and contour extraction to enhance anatomical details, plus other spatial-domain filters for functional features corresponding to wide point-spread-function responses in PET images. A set of image-fusion operators was formulated and tested on PET and MRI acquisitions.

  14. Optimization of multisource information fusion for resource management with remote sensing imagery: an aggregate regularization method with neural network implementation

    Science.gov (United States)

    Shkvarko, Yuriy, IV; Butenko, Sergiy

    2006-05-01

    We address a new approach to the problem of improvement of the quality of multi-grade spatial-spectral images provided by several remote sensing (RS) systems as required for environmental resource management with the use of multisource RS data. The problem of multi-spectral reconstructive imaging with multisource information fusion is stated and treated as an aggregated ill-conditioned inverse problem of reconstruction of a high-resolution image from the data provided by several sensor systems that employ the same or different image formation methods. The proposed fusionoptimization technique aggregates the experiment design regularization paradigm with neural-network-based implementation of the multisource information fusion method. The maximum entropy (ME) requirement and projection regularization constraints are posed as prior knowledge for fused reconstruction and the experiment-design regularization methodology is applied to perform the optimization of multisource information fusion. Computationally, the reconstruction and fusion are accomplished via minimization of the energy function of the proposed modified multistate Hopfield-type neural network (NN) that integrates the model parameters of all systems incorporating a priori information, aggregate multisource measurements and calibration data. The developed theory proves that the designed maximum entropy neural network (MENN) is able to solve the multisource fusion tasks without substantial complication of its computational structure independent on the number of systems to be fused. For each particular case, only the proper adjustment of the MENN's parameters (i.e. interconnection strengths and bias inputs) should be accomplished. Simulation examples are presented to illustrate the good overall performance of the fused reconstruction achieved with the developed MENN algorithm applied to the real-world multi-spectral environmental imagery.

  15. Applications of state estimation in multi-sensor information fusion for the monitoring of open pit mine slope deformation

    Institute of Scientific and Technical Information of China (English)

    FU Hua; LIU Yin-ping; XIAO Jian

    2008-01-01

    The traditional open pit mine slope deformation monitoring system can not use the monitoring information coming from many monitoring points at the same time,can only using the monitoring data coming from a key monitoring point, and that is to say it can only handle one-dimensional time series. Given this shortage in the monitoring,the multi-sensor information fusion in the state estimation techniques would be introduced to the slope deformation monitoring system, and by the dynamic characteristics of deformation slope, the open pit slope would be regarded as a dynamic goal, the condition monitoring of which would be regarded as a dynamic target tracking. Distributed Information fusion technology with feedback was used to process the monitoring data and on this basis Klman filtering algorithms was introduced, and the simulation examples was used to prove its effectivenes.

  16. Remaining useful life prognostics for aeroengine based on superstatistics and information fusion

    Institute of Scientific and Technical Information of China (English)

    Liu Junqiang; Zhang Malan; Zuo Hongfu; Xie Jiwei

    2014-01-01

    Remaining useful life (RUL) prognostics is a fundamental premise to perform condition-based maintenance (CBM) for a system subject to performance degradation. Over the past decades, research has been conducted in RUL prognostics for aeroengine. However, most of the prognostics technologies and methods simply base on single parameter, making it hard to demonstrate the spe-cific characteristics of its degradation. To solve such problems, this paper proposes a novel approach to predict RUL by means of superstatistics and information fusion. The performance degradation evolution of the engine is modeled by fusing multiple monitoring parameters, which manifest non-stationary characteristics while degrading. With the obtained degradation curve, prognostics model can be established by state-space method, and then RUL can be estimated when the time-varying parameters of the model are predicted and updated through Kalman filtering algo-rithm. By this method, the non-stationary degradation of each parameter is represented, and multi-ple monitoring parameters are incorporated, both contributing to the final prognostics. A case study shows that this approach enables satisfactory prediction evolution and achieves a markedly better prognosis of RUL.

  17. Remaining useful life prognostics for aeroengine based on superstatistics and information fusion

    Directory of Open Access Journals (Sweden)

    Liu Junqiang

    2014-10-01

    Full Text Available Remaining useful life (RUL prognostics is a fundamental premise to perform condition-based maintenance (CBM for a system subject to performance degradation. Over the past decades, research has been conducted in RUL prognostics for aeroengine. However, most of the prognostics technologies and methods simply base on single parameter, making it hard to demonstrate the specific characteristics of its degradation. To solve such problems, this paper proposes a novel approach to predict RUL by means of superstatistics and information fusion. The performance degradation evolution of the engine is modeled by fusing multiple monitoring parameters, which manifest non-stationary characteristics while degrading. With the obtained degradation curve, prognostics model can be established by state-space method, and then RUL can be estimated when the time-varying parameters of the model are predicted and updated through Kalman filtering algorithm. By this method, the non-stationary degradation of each parameter is represented, and multiple monitoring parameters are incorporated, both contributing to the final prognostics. A case study shows that this approach enables satisfactory prediction evolution and achieves a markedly better prognosis of RUL.

  18. Accountability in Science During the Information Era: Lessons Drawn from the "Cold Fusion Furor"

    Science.gov (United States)

    Chubb, Scott

    2001-04-01

    As guest editor of a recent Ethics in Science publication(S. R. Chubb, Accountability in Research, v 8), #'s 1 and 2, 1 (2000). (http://www.gbhap us.com/journals/149/149-top.htm), I requested key players, from both sides of the Cold Fusion (CF) debate, to attempt to go beyond questions involving the merits of CF, by addressing a more basic issue: have CF claims been judged effectively. All participants agreed that this has not occurred. Three factors seem to have been responsible: 1. Errors in the initial neutron measurements, 2. Events immediately prior to and during a specific APS session, held 1 May 1989, and 3. Irresponsible use of FAX machines and the Internet. The resulting furor, fueled by these Information Era Technologies (IET's), has evolved into such a serious breakdown in communication that, even after 11 years, it is impossible to rule-out the possibility that a number of important new discoveries may have occurred. Regardless of the merits of the claims, two lessons can be drawn from the debate: 1. Individuals and groups must be held accountable for their actions and statements, 2. When IET users fail to respect each other, IET's can seriously impede communication.

  19. Based on Weibull Information Fusion Analysis Semiconductors Quality the Key Technology of Manufacturing Execution Systems Reliability

    Science.gov (United States)

    Huang, Zhi-Hui; Tang, Ying-Chun; Dai, Kai

    2016-05-01

    Semiconductor materials and Product qualified rate are directly related to the manufacturing costs and survival of the enterprise. Application a dynamic reliability growth analysis method studies manufacturing execution system reliability growth to improve product quality. Refer to classical Duane model assumptions and tracking growth forecasts the TGP programming model, through the failure data, established the Weibull distribution model. Combining with the median rank of average rank method, through linear regression and least squares estimation method, match respectively weibull information fusion reliability growth curve. This assumption model overcome Duane model a weakness which is MTBF point estimation accuracy is not high, through the analysis of the failure data show that the method is an instance of the test and evaluation modeling process are basically identical. Median rank in the statistics is used to determine the method of random variable distribution function, which is a good way to solve the problem of complex systems such as the limited sample size. Therefore this method has great engineering application value.

  20. Including anatomical and functional information in MC simulation of PET and SPECT brain studies. Brain-VISET: a voxel-based iterative method.

    Science.gov (United States)

    Marti-Fuster, Berta; Esteban, Oscar; Thielemans, Kris; Setoain, Xavier; Santos, Andres; Ros, Domenec; Pavia, Javier

    2014-10-01

    Monte Carlo (MC) simulation provides a flexible and robust framework to efficiently evaluate and optimize image processing methods in emission tomography. In this work we present Brain-VISET (Voxel-based Iterative Simulation for Emission Tomography), a method that aims to simulate realistic [ (99m) Tc]-SPECT and [ (18) F]-PET brain databases by including anatomical and functional information. To this end, activity and attenuation maps generated using high-resolution anatomical images from patients were used as input maps in a MC projector to simulate SPECT or PET sinograms. The reconstructed images were compared with the corresponding real SPECT or PET studies in an iterative process where the activity inputs maps were being modified at each iteration. Datasets of 30 refractory epileptic patients were used to assess the new method. Each set consisted of structural images (MRI and CT) and functional studies (SPECT and PET), thereby allowing the inclusion of anatomical and functional variability in the simulation input models. SPECT and PET sinograms were obtained using the SimSET package and were reconstructed with the same protocols as those employed for the clinical studies. The convergence of Brain-VISET was evaluated by studying the behavior throughout iterations of the correlation coefficient, the quotient image histogram and a ROI analysis comparing simulated with real studies. The realism of generated maps was also evaluated. Our findings show that Brain-VISET is able to generate realistic SPECT and PET studies and that four iterations is a suitable number of iterations to guarantee a good agreement between simulated and real studies.

  1. Model of constant probability event and its application in information fusion

    Institute of Scientific and Technical Information of China (English)

    邓勇; 施文康

    2004-01-01

    A model of constant probability event is constructed rigorously in event space of PSCEA. It is showed that the numerical-based fusion and the algebraic-based fusion have a consistent result when the weight is regarded as a constant probability event. From the point of view of algebra, we present a novel similarity measure in product space. Based on the similarity degree, we use a similarity aggregation method to fusion experts' evaluation. We also give a numerical example to illustrate the method.

  2. Mandibular remodeling measured on cephalograms: 2. A comparison of information from implant and anatomic best-fit superimpositions.

    Science.gov (United States)

    Baumrind, S; Ben-Bassat, Y; Korn, E L; Bravo, L A; Curry, S

    1992-09-01

    This study quantifies the differences in the perceived pattern of mandibular remodeling when two different methods are used to superimpose roentgenographic images of the mandible. Lateral cephalograms for a group of subjects with metallic implants of the Björk type were superimposed twice; first on the metallic implants and then independently on mandibular anatomic structures according to a common "best fit" rule. In this article, we compare the between-superimposition differences in the perceived displacements of condyle, gonion, menton, pogonion, and Point B. Mean differences between the two superimpositional techniques were smaller than had been anticipated. For the 7-year time interval between 8.5 and 15.5 years, the largest mean differences between methods were 2.70 mm in the horizontal direction at condyle, 1.90 mm in the vertical direction at condyle, and 1.52 mm in the vertical direction at gonion. None of the other between-superimposition differences had a mean value in excess of 1 mm. The individual case variability between the two methods was, however, quite considerable, a finding that we believe has bearing on the confidence that can be placed in individual case analyses in clinical orthodontics. A preliminary attempt has been made to represent and discuss the magnitude of this problem.

  3. Information fusion diagnosis and early-warning method for monitoring the long-term service safety of high dams

    Institute of Scientific and Technical Information of China (English)

    Xing LIU; Zhong-ru WU; Yang YANG; Jiang HU; Bo XU

    2012-01-01

    Analyzing the service behavior of high dams and establishing early-warning systems for them have become increasingly important in ensuring their long-term service.Current analysis methods used to obtain safety monitoring data are suited only to single survey point data.Unreliable or even paradoxical results are inevitably obtained when processing large amounts of monitoring data,thereby causing difficulty in acquiring precise conclusions.Therefore,we have developed a new method based on multi-source information fusion for conducting a comprehensive analysis of prototype monitoring data of high dams.In addition,we propose the use of decision information entropy analysis for building a diagnosis and early-warning system for the long-term service of high dams.Data metrics reduction is achieved using information fusion at the data level.A Bayesian information fusion is then conducted at the decision level to obtain a comprehensive diagnosis.Early-warning outcomes can be released after sorting analysis results from multi-positions in the dam according to importance.A case study indicates that the new method can effectively handle large amounts of monitoring data from numerous survey points.It can likewise obtain precise real-time results and export comprehensive early-warning outcomes from multi-positions of high dams.

  4. Uncertainty-Sensitive Heterogeneous Information Fusion: Assessing Threat with Soft, Uncertain, and Conflicting Evidence

    Science.gov (United States)

    2016-01-01

    knowledge is uncertain, fragmentary, and of questionable reliability, making standard maxi - mum entropy methods difficult. We therefore drew on methods...feasibility and allowed us to learn a good deal about the methods and their various strengths and weak - nesses. Figure S.3 shows illustrative results based on...Bayesian fusion methods. Chapter Five is devoted to the maxi - mum entropy/minimum penalty (MEMP) fusion method. Direct Subjective Methods When combining

  5. Federated Search Tools in Fusion Centers: Bridging Databases in the Information Sharing Environment

    Science.gov (United States)

    2012-09-01

    German and Jay Stanley , “Fusion Center Update,” American Civil Liberties Union, July 2008, http://www.aclu.org/files/pdfs/privacy...Intelligence, ed. Jennifer E. Sims and Burton Gerber (Washington DC: Georgetown University Press, 2005), 107. 16 Ibid. 11 through a federated search tool...SurveyMonkey. Last modified June 23, 2012. https://www.surveymonkey.com/s/FederatedSearchToolsinFCs. German, Mike and Jay Stanley . “Fusion Center

  6. Fault Diagnosis of Rotating Machinery Based on Multisensor Information Fusion Using SVM and Time-Domain Features

    Directory of Open Access Journals (Sweden)

    Ling-li Jiang

    2014-01-01

    Full Text Available Multisensor information fusion, when applied to fault diagnosis, the time-space scope, and the quantity of information are expanded compared to what could be acquired by a single sensor, so the diagnostic object can be described more comprehensively. This paper presents a methodology of fault diagnosis in rotating machinery using multisensor information fusion that all the features are calculated using vibration data in time domain to constitute fusional vector and the support vector machine (SVM is used for classification. The effectiveness of the presented methodology is tested by three case studies: diagnostic of faulty gear, rolling bearing, and identification of rotor crack. For each case study, the sensibilities of the features are analyzed. The results indicate that the peak factor is the most sensitive feature in the twelve time-domain features for identifying gear defect, and the mean, amplitude square, root mean square, root amplitude, and standard deviation are all sensitive for identifying gear, rolling bearing, and rotor crack defect comparatively.

  7. Anatomical and functional pathways of rhythmogenic inspiratory premotor information flow originating in the pre-Bötzinger complex in the rat medulla.

    Science.gov (United States)

    Koshiya, N; Oku, Y; Yokota, S; Oyamada, Y; Yasui, Y; Okada, Y

    2014-05-30

    The pre-Bötzinger complex (preBötC) of the ventrolateral medulla is the kernel for inspiratory rhythm generation. However, it is not fully understood how inspiratory neural activity is generated in the preBötC and propagates to other medullary regions. We analyzed the detailed anatomical connectivity to and from the preBötC and functional aspects of the inspiratory information propagation from the preBötC on the transverse plane of the medulla oblongata. Tract-tracing with immunohistochemistry in young adult rats demonstrated that neurokinin-1 receptor- and somatostatin-immunoreactive neurons in the preBötC, which could be involved in respiratory rhythmogenesis, are embedded in the plexus of axons originating in the contralateral preBötC. By voltage-imaging in rhythmically active slices of neonatal rats, we analyzed origination and propagation of inspiratory neural activity as depolarizing wave dynamics on the entire transverse plane as well as within the preBötC. Novel combination of pharmacological blockade of glutamatergic transmission and mathematical subtraction of the video images under blockade from the control images enabled to extract glutamatergic signal propagations. By ultra-high-speed voltage-imaging we first demonstrated the inter-preBötC conduction process of inspiratory action potentials. Intra-preBötC imaging with high spatiotemporal resolution during a single spontaneous inspiratory cycle unveiled deterministic nonlinearities, i.e., chaos, in the population recruitment. Collectively, we comprehensively elucidated the anatomical pathways to and from the preBötC and dynamics of inspiratory neural information propagation: (1) From the preBötC in one side to the contralateral preBötC, which would synchronize the bilateral rhythmogenic kernels, (2) from the preBötC directly to the bilateral hypoglossal premotor and motor areas as well as to the nuclei tractus solitarius, and (3) from the hypoglossal premotor areas toward the hypoglossal

  8. Reference Man anatomical model

    Energy Technology Data Exchange (ETDEWEB)

    Cristy, M.

    1994-10-01

    The 70-kg Standard Man or Reference Man has been used in physiological models since at least the 1920s to represent adult males. It came into use in radiation protection in the late 1940s and was developed extensively during the 1950s and used by the International Commission on Radiological Protection (ICRP) in its Publication 2 in 1959. The current Reference Man for Purposes of Radiation Protection is a monumental book published in 1975 by the ICRP as ICRP Publication 23. It has a wealth of information useful for radiation dosimetry, including anatomical and physiological data, gross and elemental composition of the body and organs and tissues of the body. The anatomical data includes specified reference values for an adult male and an adult female. Other reference values are primarily for the adult male. The anatomical data include much data on fetuses and children, although reference values are not established. There is an ICRP task group currently working on revising selected parts of the Reference Man document.

  9. Identifying 1 Method of Meat Containing Excessive Moisture Based on hyperspectral and SVM Multi-Information Fusion

    Directory of Open Access Journals (Sweden)

    Guo Peiyuan

    2016-01-01

    Full Text Available In this paper, a quick and accurate detection method which can identify whether the meat contain excessive moisture is mentioned. By using near-infrared spectroscopy measurement and SVM Multi-Information Fusion, the meat moisture content model has been established. In order to improve the accuracy of NIR measurement predicted model and to reduce the measurement sensitivity, utilizing image information and the PH value data as the parameters of the meat moisture content model. The study concluded that the theory and method can be further extended to the detection of other related meat agricultural products.

  10. Using Allaire's ColdFusion to Deliver Web-Based Information to Distance Learning Students.

    Science.gov (United States)

    Arashiro, Peter; Milton, Kirby

    1999-01-01

    Discusses Lansing Community College's (Michigan) Virtual College, initiated in 1997 and now offering 47 courses for online delivery. Reviews ColdFusion 3.1, a database-driven Web application server, and describes how the college has successfully used it to support students and faculty. (EMH)

  11. Anatomic study of the blood vessels in the anterior lumbosacral interbody fusion%脊柱腰骶段前路内固定术操作空间的解剖测量

    Institute of Scientific and Technical Information of China (English)

    刘发平; 方丹; 周玉刚

    2016-01-01

    Objective To observe the blood vessels distribution in iliac blood velles triangular area of the lumbosacral vertebrae and confirm the range of safety working area,so as to provide anatomic data for anterior lumbosacral interbody fusion.Methods CTA imaging da-ta of abdominal vessels were randomly collected from 32 adult patients.Observed the distribution and intersection features of lumbosacral ver-tebral ventral blood vessels.Measured the distance from the bifurcation or confluence to the L5 dise,level interval of iliaca vessels in the infe-rior boundary of L5 ,and width of L5 /S1 intervertebral space.And then computed the range of safety working area and conducted a preliminary classification.Results The lumbosacral vertebral ventral operation space is mainly (87.4%)composed of left iliac vein and right common iliac artery.In this study,patients of type A accounted for 87.4%,vascular clearance of the L5 dise was (3.8 ±1.1)cm,safety working area was (5.2 ±1.2)cm2 ,and the display ratio of L5 /S1 was 73.2%.Patients of type B accounted for 6.3%,vascular clearance of the L5 dise was (4.2 ±0.5)cm,safety working area was (7.1 ±0.2)cm2 ,and the display ratio of L5 /S1 was 81.0%.Patients of type C accounted for 6.3%,vascular clearance of the L5 dise was (1.0 ±0.7)cm,safety working area was (1.3 ±0.7)cm2 ,and the display ratio of L5 /S1 was 31.2%.The differences of anatomical parameters among the three types were statistically significant (P <0.05).Conclusion The study showed that most ordinary people have enough operation space in the lumbosacral vertebral ventral,which is suitable for anterior lumbosacral interbody fusion,but it is necessary to take preoperative imaging screening.%目的:通过观测腰骶段腹侧血管的解剖数据,确定手术操作空间,保障前路内固定术的可行性及安全性。方法随机选取32例成年人腹部血管 CTA 影像学资料,观察其腰骶椎腹侧血管的走行、交汇特点,测量交汇点至 L5椎

  12. Non-probabilistic information fusion technique for structural damage identification based on measured dynamic data with uncertainty

    Institute of Scientific and Technical Information of China (English)

    Xiao-Jun Wang; Chen Yang; Zhi-Ping Qiu

    2013-01-01

    Based on measured natural frequencies and acceleration responses,a non-probabilistic information fusion technique is proposed for the structural damage detection by adopting the set-membership identification (SMI) and two-step model updating procedure.Due to the insufficiency and uncertainty of information obtained from measurements,the uncertain problem of damage identification is addressed with interval variables in this paper.Based on the first-order Taylor series expansion,the interval bounds of the elemental stiffness parameters in undamaged and damaged models are estimated,respectively.The possibility of damage existence (PoDE) in elements is proposed as the quantitative measure of structural damage probability,which is more reasonable in the condition of insufficient measurement data.In comparison with the identification method based on a single kind of information,the SMI method will improve the accuracy in damage identification,which reflects the information fusion concept based on the non-probabilistic set.A numerical example is performed to demonstrate the feasibility and effectiveness of the proposed technique.

  13. Fusion Energy: Contextual Analysis of the Information Panels Developed by the Scientific Community versus Citizen Discourse; Fusion Nuclear: Analisis Contextual de Paneles Informativos Elaborados por la Comunidad Cientifica versus Discurso Ciudadano

    Energy Technology Data Exchange (ETDEWEB)

    Ferri Anglada, S.; Cornejo Alvarez, J. M.

    2014-02-01

    The report presents an exploratory study on the impact of scientific dissemination, particularly a comparative analysis of two discourses on fusion energy as an alternative energy future. The report introduces a comparative analysis of the institutional discourse, as portrayed by the scientific jargon used in a European travelling exhibition on nuclear fusion Fusion Expo, and the social discourse, as illustrated by a citizen deliberation on this very same exhibition. Through textual analysis, the scientific discourse as deployed in the informative panels at the Fusion Expo is compared with the citizen discourse as developed in the discussions within the citizen groups. The ConText software was applied for such analysis. The purpose is to analyze how visitors assimilate, capture and understand highly technical information. Results suggest that, in despite of convergence points, the two discourses present certain differences, showing diverse levels of communication. The scientific discourse shows a great profusion of formalisms and technicalities of scientific jargon. The citizen discourse shows abundance of words associated with daily life and the more practical aspects (economy, efficiency), concerning institutional and evaluative references. In sum, the study shows that although there are a few common communicative spaces, there are still very few turning points. These data indicate that although exhibitions can be a good tool to disseminate advances in fusion energy in informal learning contexts, public feedback is a powerful tool for improving the quality of social dialogue. (Author)

  14. Unified Research on Network-Based Hard/Soft Information Fusion

    Science.gov (United States)

    2016-02-02

    smart energy [I.1.13], heterogeneous sensor network processing [I.1.12], radio frequency identification (RFID) middleware [I.1.14], and data fusion...M.S. (2010) Unsupervised flow-level clustering in network anomaly detection, M. S. thesis in Electrical Engineering, The Pennsylvania State University...University, University Park, PA [I.5.3] Xu M.S. (2010) Unsupervised flow-level clustering in network anomaly detection, M. S. thesis in Electrical

  15. Gesture-Directed Sensor-Information Fusion for Communication in Hazardous Environments

    Science.gov (United States)

    2010-06-01

    sensors for gesture recognition [1], [2]. An important future step to enhance the effectiveness of the war fighter is to integrate CBRN and other...addition to the standard eGlove magnetic and motion gesture recognition sensors. War fighters progressing through a battlespace are now providing...a camera for gesture recognition is absolutely not an option for a CBRN war fighter in a battlefield scenario. Multi sensor fusion is commonly

  16. 信息融合理论的基本方法与进展(Ⅱ)%Basic methods and progress of information fusion(Ⅱ)

    Institute of Scientific and Technical Information of China (English)

    潘泉; 王增福; 梁彦; 杨峰; 刘准钆

    2012-01-01

    在军事技术、自动化、智能化等需求的牵引下,信息融合受到学术界和工业界的广泛关注,近年来取得了诸多新的理论与方法进展,因此有必要予以综述.本文首先分析了信息融合面临的问题与挑战,包括系统融合框架、信息不确定、多模态、高冲突、强相关、网络化以及非线性等;并以此为分类依据,在信息融合模型与系统设计、不确定信息融合、多模态信息融合、高冲突信息融合、相关信息融合及网络化信息融合等方面对近10年来的进展进行了综述.同时,探讨了信息一体化融合处理、以人为中心的信息融合、信息获取与融合的联合优化、复杂多传感器信息融合系统体系结构设计、信息融合系统仿真与性能评估、借助更多的数学理论方法等未来几个可能的研究发展方向.%Because of the demands from military technology, automation and intelligence, information fusion has been broadly concerned in academia and industry. Since a number of methods and algorithms have been emerging in recent years, it is necessary to analyze and review their recent developments. We start by analyzing the inherent problems and challenges in information fusion, including fusion architecture, uncertainty of information, multimodal information, conflict information, correlative information, networked information and nonlinearity of information; and then, we review various methods and algorithms developed in the past ten years for implementing the fusion of the above types of information. In addition, several future directions of research are highlighted and described, including the joint processing for information, human-centered information fusion, joint optimization for information gathering and fusion, architecture design for complex multisensor information fusion systems, simulation and performance evaluation for information fusion and the application of more mathematical theories.

  17. Theory and application for retrieval and fusion of spatial and temporal quantitative information from complex natural environment

    Institute of Scientific and Technical Information of China (English)

    JIN Yaqiu

    2007-01-01

    This paper briefly presents the research progress of the State Major Basic Research Project 2001CB309400,"Theory and Application for Retrieval and Fusion of Spatial and Temporal Quantitative Information from Complex Natural Environment". Based on the rapid advancement of synthetic aperture radar (SAR) imagery technology, informa-tion theory of fully polarimetric scattering and applications in polarimetric SAR remote sensing are developed. To promote the modeling of passive microwave remote sensing, thevector (polarized) radiative transfer theory (VRT) of complex natural media such as inhomogeneous, multi-layered and 3-dimensional VRT is developed. With these theoretical progresses, data validation and retrieval algorithms for some typical events and characteristic parameters of earth terrain surfaces, atmosphere, and oceans from operational and experimental remote sensing satellites are studied. Employ-ing remote sensing, radiative transfer simulation, geographic information systems (GIS), land hydrological process, and data assimilation, the Chinese land data assimilation system (CLDAS) is established. Towards the future development of China's microwave meteorological satellites, employing remote sensing data of currently available SSM/I (special sensor microwave/imager), AMSU (advanced microwave sounding unit), MTI (microwave temperature imager),etc., with ground-based measurements, several operation alalgorithms and databases for atmospheric precipitation, water vapor and liquid water in clouds, and other hydrological/hydrological applications are developed. To advance China's SAR and InSAR (interferometric SAR) technologies, the image processing and analysis of ERS (European remote sensing), Radarsat SAR, and Chinese SAR, etc., the software platforms are accomplished. Based on the researches of multi-information fusion, some simulations, identification,and information extractions of the targets from complex background clutter scenes are studied. Some

  18. Anatomical pathology is dead? Long live anatomical pathology.

    Science.gov (United States)

    Nicholls, John M; Francis, Glenn D

    2011-10-01

    The standard diagnostic instrument used for over 150 years by anatomical pathologists has been the optical microscope and glass slide. The advent of immunohistochemistry in the routine laboratory in the 1980s, followed by in situ hybridisation in the 1990s, has increased the armamentaria available to the diagnostic pathologist, and this technology has led to changed patient management in a limited number of neoplastic diseases. The first decade of the 21 century has seen an increasing number of publications using proteomic technologies that promise to change disease diagnosis and management, the traditional role of an anatomical pathologist. Despite the plethora of publications on proteomics and pathology, to date there are actually limited data where proteomic technologies do appear to be of greater diagnostic value than the standard histological slide. Though proteomic techniques will become more prevalent in the future, it will need the expertise of an anatomical pathologist to dissect out and validate this added information.

  19. Drupal在中药信息融合中的应用*%Application of Drupal in Chinese Medicine Information Fusion

    Institute of Scientific and Technical Information of China (English)

    陈昭; 马莉; 张百霞; 袁斌; 何帅兵; 王耘; 乔延江

    2014-01-01

    This paper was aimed to discuss the application of content management system (CMS) Drupal in Chinese medicine information fusion. The modular functionality, scalability and strong management capabilities of Drupal can effectively manage and reasonably present information resources of Chinese medicine, which extended the application of Chinese medicine information fusion. Regarding CMS Drupal as the carrier of Chinese medicine information fusion, the Chinese medicine information fusion method can be used in the collection, organization and demonstration of Chinese medicine information in the platform. As one of network tools for Chinese medicine information fusion, Dru-pal will play its powerful function in content management and information publishing with the virtual technology. It will also enrich Chinese medicine information fusion, and promote the spread of Chinese medicine knowledge.%本文主要论述了内容管理系统Drupal在中药信息融合中的应用。Drupal的模块化功能、可扩展性以及其强大的管理能力可以有效管理、合理呈现中药信息资源,扩展中药信息融合的应用。将内容管理系统Drupal作为中药信息融合的载体,运用中药信息融合方法汇集中药信息,整理中药信息并在中药信息融合平台上展示。作为中药信息融合网络工具之一的Drupal将结合虚拟化技术,发挥其强大内容管理与信息发布功能,丰富中药信息融合内容,促进中药知识的传播。

  20. Evaluation of parallel reduction strategies for fusion of sensory information from a robot team

    Science.gov (United States)

    Lyons, Damian M.; Leroy, Joseph

    2015-05-01

    The advantage of using a team of robots to search or to map an area is that by navigating the robots to different parts of the area, searching or mapping can be completed more quickly. A crucial aspect of the problem is the combination, or fusion, of data from team members to generate an integrated model of the search/mapping area. In prior work we looked at the issue of removing mutual robots views from an integrated point cloud model built from laser and stereo sensors, leading to a cleaner and more accurate model. This paper addresses a further challenge: Even with mutual views removed, the stereo data from a team of robots can quickly swamp a WiFi connection. This paper proposes and evaluates a communication and fusion approach based on the parallel reduction operation, where data is combined in a series of steps of increasing subsets of the team. Eight different strategies for selecting the subsets are evaluated for bandwidth requirements using three robot missions, each carried out with teams of four Pioneer 3-AT robots. Our results indicate that selecting groups to combine based on similar pose but distant location yields the best results.

  1. Survey of Laser Markets Relevant to Inertial Fusion Energy Drivers, information for National Research Council

    Energy Technology Data Exchange (ETDEWEB)

    Bayramian, A J; Deri, R J; Erlandson, A C

    2011-02-24

    Development of a new technology for commercial application can be significantly accelerated by leveraging related technologies used in other markets. Synergies across multiple application domains attract research and development (R and D) talent - widening the innovation pipeline - and increases the market demand in common components and subsystems to provide performance improvements and cost reductions. For these reasons, driver development plans for inertial fusion energy (IFE) should consider the non-fusion technology base that can be lveraged for application to IFE. At this time, two laser driver technologies are being proposed for IFE: solid-state lasers (SSLs) and KrF gas (excimer) lasers. This document provides a brief survey of organizations actively engaged in these technologies. This is intended to facilitate comparison of the opportunities for leveraging the larger technical community for IFE laser driver development. They have included tables that summarize the commercial organizations selling solid-state and KrF lasers, and a brief summary of organizations actively engaged in R and D on these technologies.

  2. New information on Riograndia guaibensis Bonaparte, Ferigolo & Ribeiro, 2001 (Eucynodontia, Tritheledontidae from the Late Triassic of southern Brazil: anatomical and biostratigraphic implications

    Directory of Open Access Journals (Sweden)

    Marina B. Soares

    2011-03-01

    Full Text Available The tritheledontid Riograndia guaibensis was the first cynodont described for the "Caturrita Formation" fauna from the Late Triassic of southern Brazil (Santa Maria 2 Sequence. The type materials did not preserve anatomical information regarding braincase, occiput, basicranium, zygomatic arch, postdentary bones and craniomandibular joint. Here new materials are described and supply the missing information. Riograndia shows a suite of important anatomical features quite derived among the non-mammaliaform eucynodonts, such as the partial closure of the medial orbital wall and braincase, extensive secondary osseous palate, wide primary palate, basicranium with jugular foramen separated from the periphery of fenestra rotunda, narrow zygomatic arch and much reduced postdentary bones. Many of these features constitute synapomorphies shared only with the other members of mammaliamorpha. Thus, the almost complete cranial, mandibular and dental information from the new fossils of Riograndia can bring a significant improve in the understanding of the anatomy and phylogenetic relationships of the tritheledontids and help to elucidate the transformational steps involved in the cynodont-mammal transition. Additionally, Riograndia is a key taxon in refining the "Caturrita Formation" biostratigraphy, enabling the connection of several fossiliferous outcrops that have a rich tetrapod fauna that can be correlated with other Triassic faunas from Gondwana and Laurasia.O triteledontídeo Riograndia guiabensis foi o primeiro cinodonte descrito para a fauna da "Formação Caturrita" do Triássico Superior do sul do Brasil (Sequência Santa Maria 2. Os materiais da série-tipo não forneceram informações anatômicas relativas à caixa craniana, ociput, basicrânio, arco zigomático, ossos pós-dentários e articulação crânio-mandibular. Neste artigo são descritos novos materiais que suprem as informações anatômicas não contempladas anteriormente. Riograndia

  3. Change Detection of High Resolution SAR Images by the Fusion of Coherent/Incoherent Information

    Directory of Open Access Journals (Sweden)

    Yang Xiang-li

    2015-10-01

    Full Text Available Aiming at detecting the change regions of high resolution Synthetic Aperture Radar (SAR images, we propose to use the Dempster-Shafer (D-S evidence theory to fuse coherent/incoherent features from sensors that form an integral part of the system. First, we use the Simple Linear Iterative Clustering (SLIC segmentation algorithm to implement multi-scale joint segmentation for multi-temporal SAR images. Second, we extract multiple intensity and coherence difference features on each segment level by SLIC using mean operator to complete the fusion of multi-scale features to get the multi-feature difference mapped by a ratio operator. Finally, we fuse the multi-feature difference maps to get the final change detection result using the D-S evidence theory. The experimental results in our study prove the effectiveness of our proposed computational algorithm.

  4. Fusion of Delayed-enhancement MR Imaging and Contrast-enhanced MR Angiography to Visualize Radiofrequency Ablation Scar on the Pulmonary Vein.

    Science.gov (United States)

    Shigenaga, Yutaka; Kiuchi, Kunihiko; Ikeuchi, Kazushi; Ikeda, Takayuki; Okajima, Katsunori; Yasaka, Yoshinori; Kawai, Hiroya

    2015-01-01

    Delayed-enhancement magnetic resonance imaging (DE-MRI) is reported to detect the radiofrequency (RF) ablation scar of pulmonary vein isolation. However, the precise localization of RF scar is difficult to recognize due to the poor anatomical information of the 3-dimensionally reconstructed DE-MRI. We report 2 cases in which fusion of DE-MRI and contrast-enhanced MR angiography facilitated the identification of RF scar, and we detail our fusion method.

  5. THE COLLOQUIUM ON MULTI-SOURCE IMPERFECT INFORMATION FUSION AND ITS APPLICATION

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    @@ Attributes and characteristics of objects and environments can be described qualitatively and quantitatively by multi-source information. Because of the complexity of environments, limitation of sensor performance and imperfection of information acquisition technique, multi-source information is usually uncertain, vague and incomplete.

  6. A Multi-Disciplinary University Research Initiative in Hard and Soft Information Fusion: Overview, Research Strategies and Initial Results

    Science.gov (United States)

    2010-07-01

    Thrusts addressed are framed around the major functional components of the JDL Fusion Process; these include: 1. Source Characterization of Soft...Level 2 data fusion environment. The primary Research Thrusts addressed are framed around the major functional components of the JDL Fusion Process

  7. Interventional guidance for cardiac resynchronization therapies: merging anatomic X-ray imaging with functional ultrasound imaging based on mutually-shared landmarks

    Energy Technology Data Exchange (ETDEWEB)

    Manzke, R.; Shechter, G.; Gutierrez, L.; Chan, R.C. [Philips Research North America, Briarcliff Manor, NY (United States); Tournoux, F.; Singh, J.; Picard, M. [Dept. of Cardiology, Massachusetts General Hospital, Harvard Medical School (United States); Brink, B. v.d.; Boomen, R. v.d. [Philips Medical System, Best (Netherlands); Gerard, O. [Philips Medical Systems, Paris (France)

    2007-06-15

    Detailed knowledge of cardiac anatomy and function is required for complex cardiac electrophysiology interventions. Cardiac resynchronization therapies (CRT), for example, requires information about coronary venous anatomy for left ventricular lead placement. In CRT, heart failure patients are equipped with dual-chamber pacemakers in order to improve cardiac output and heart failure symptoms. Cardiac function is mainly assessed with Ultrasound imaging. Fusion of complementary information from X-ray and ultrasound is an essential step towards fully utilizing all available information for CRT guidance. We present an approach for fusion of anatomical information (coronary vein structure) from X-ray with functional information (left ventricular deformation and dynamics) from ultrasound. We propose an image-based fusion approach based on mutually-shared landmarks which enable registration of both imaging spaces without the need for external tracking. (orig.)

  8. Fusion of PET and MRI for Hybrid Imaging

    Science.gov (United States)

    Cho, Zang-Hee; Son, Young-Don; Kim, Young-Bo; Yoo, Seung-Schik

    Recently, the development of the fusion PET-MRI system has been actively studied to meet the increasing demand for integrated molecular and anatomical imaging. MRI can provide detailed anatomical information on the brain, such as the locations of gray and white matter, blood vessels, axonal tracts with high resolution, while PET can measure molecular and genetic information, such as glucose metabolism, neurotransmitter-neuroreceptor binding and affinity, protein-protein interactions, and gene trafficking among biological tissues. State-of-the-art MRI systems, such as the 7.0 T whole-body MRI, now can visualize super-fine structures including neuronal bundles in the pons, fine blood vessels (such as lenticulostriate arteries) without invasive contrast agents, in vivo hippocampal substructures, and substantia nigra with excellent image contrast. High-resolution PET, known as High-Resolution Research Tomograph (HRRT), is a brain-dedicated system capable of imaging minute changes of chemicals, such as neurotransmitters and -receptors, with high spatial resolution and sensitivity. The synergistic power of the two, i.e., ultra high-resolution anatomical information offered by a 7.0 T MRI system combined with the high-sensitivity molecular information offered by HRRT-PET, will significantly elevate the level of our current understanding of the human brain, one of the most delicate, complex, and mysterious biological organs. This chapter introduces MRI, PET, and PET-MRI fusion system, and its algorithms are discussed in detail.

  9. Adaptive Fusion of Information for Seeing into Ordos Basin, China: A China-Germany-US Joint Venture.

    Science.gov (United States)

    Yeh, T. C. J.; Yin, L.; Sauter, M.; Hu, R.; Ptak, T.; Hou, G. C.

    2014-12-01

    Adaptive fusion of information for seeing into geological basins is the theme of this joint venture. The objective of this venture is to initiate possible collaborations between scientists from China, Germany, and US to develop innovative technologies, which can be utilized to characterize geological and hydrological structures and processes as well as other natural resources in regional scale geological basins of hundreds of thousands of kilometers (i.e., the Ordos Basin, China). This adaptive fusion of information aims to assimilate active (manmade) and passive (natural) hydrologic and geophysical tomography surveys to enhance our ability of seeing into hydrogeological basins at the resolutions of our interests. The active hydrogeophysical tomography refers to recently developed hydraulic tomgoraphic surveys by Chinese and German scientists, as well as well-established geophysical tomography surveys (such as electrical resistivity tomography, cross-borehole radars, electrical magnetic surveys). These active hydrogeophysical tomgoraphic surveys have been proven to be useful high-resolution surveys for geological media of tens and hundreds of meters wide and deep. For basin-scale (i.e., tens and hundreds of kilometers) problems, their applicabilities are however rather limited. The passive hydrogeophysical tomography refers to unexplored technologies that exploit natural stimuli as energy sources for tomographic surveys, which include direct lightning strikes, groundwater level fluctuations due to earthquakes, river stage fluctuations, precipitation storms, barometric pressure variations, and long term climate changes. These natural stimuli are spatially varying, recurrent, and powerful, influencing geological media over great distances and depths (e.g., tens and hundreds of kilometers). Monitoring hydrological and geophysical responses of geological media to these stimuli at different locations is tantamount to collecting data of naturally occurring tomographic

  10. Practical Performance Analysis for Multiple Information Fusion Based Scalable Localization System Using Wireless Sensor Networks

    Science.gov (United States)

    Zhao, Yubin; Li, Xiaofan; Zhang, Sha; Meng, Tianhui; Zhang, Yiwen

    2016-01-01

    In practical localization system design, researchers need to consider several aspects to make the positioning efficiently and effectively, e.g., the available auxiliary information, sensing devices, equipment deployment and the environment. Then, these practical concerns turn out to be the technical problems, e.g., the sequential position state propagation, the target-anchor geometry effect, the Non-line-of-sight (NLOS) identification and the related prior information. It is necessary to construct an efficient framework that can exploit multiple available information and guide the system design. In this paper, we propose a scalable method to analyze system performance based on the Cramér–Rao lower bound (CRLB), which can fuse all of the information adaptively. Firstly, we use an abstract function to represent all of the wireless localization system model. Then, the unknown vector of the CRLB consists of two parts: the first part is the estimated vector, and the second part is the auxiliary vector, which helps improve the estimation accuracy. Accordingly, the Fisher information matrix is divided into two parts: the state matrix and the auxiliary matrix. Unlike the theoretical analysis, our CRLB can be a practical fundamental limit to denote the system that fuses multiple information in the complicated environment, e.g., recursive Bayesian estimation based on the hidden Markov model, the map matching method and the NLOS identification and mitigation methods. Thus, the theoretical results are approaching the real case more. In addition, our method is more adaptable than other CRLBs when considering more unknown important factors. We use the proposed method to analyze the wireless sensor network-based indoor localization system. The influence of the hybrid LOS/NLOS channels, the building layout information and the relative height differences between the target and anchors are analyzed. It is demonstrated that our method exploits all of the available information for

  11. Fusion of Absolute and Recursive Information to Overcome Jitter and Occlusion in ARToolKit System

    Institute of Scientific and Technical Information of China (English)

    LI Yu; WANG Yong-tian; LIU Yue

    2007-01-01

    According to the most mature marker based augmented reality system ARToolKit only utilizes absolute information in pose estimation, a novel technique is presented in this paper. The proposed method embeds the recursive information as well to make ARToolKit system smoother by eliminating the jitter and more robust to occlusion conditions. Experiments on the jitter improvement has been performed, the results show that the proposed method is very effective.

  12. Practical Performance Analysis for Multiple Information Fusion Based Scalable Localization System Using Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Yubin Zhao

    2016-08-01

    Full Text Available In practical localization system design, researchers need to consider several aspects to make the positioning efficiently and effectively, e.g., the available auxiliary information, sensing devices, equipment deployment and the environment. Then, these practical concerns turn out to be the technical problems, e.g., the sequential position state propagation, the target-anchor geometry effect, the Non-line-of-sight (NLOS identification and the related prior information. It is necessary to construct an efficient framework that can exploit multiple available information and guide the system design. In this paper, we propose a scalable method to analyze system performance based on the Cramér–Rao lower bound (CRLB, which can fuse all of the information adaptively. Firstly, we use an abstract function to represent all of the wireless localization system model. Then, the unknown vector of the CRLB consists of two parts: the first part is the estimated vector, and the second part is the auxiliary vector, which helps improve the estimation accuracy. Accordingly, the Fisher information matrix is divided into two parts: the state matrix and the auxiliary matrix. Unlike the theoretical analysis, our CRLB can be a practical fundamental limit to denote the system that fuses multiple information in the complicated environment, e.g., recursive Bayesian estimation based on the hidden Markov model, the map matching method and the NLOS identification and mitigation methods. Thus, the theoretical results are approaching the real case more. In addition, our method is more adaptable than other CRLBs when considering more unknown important factors. We use the proposed method to analyze the wireless sensor network-based indoor localization system. The influence of the hybrid LOS/NLOS channels, the building layout information and the relative height differences between the target and anchors are analyzed. It is demonstrated that our method exploits all of the

  13. Multimodality Inferring of Human Cognitive States Based on Integration of Neuro-Fuzzy Network and Information Fusion Techniques

    Directory of Open Access Journals (Sweden)

    P. Bhattacharya

    2007-11-01

    Full Text Available To achieve an effective and safe operation on the machine system where the human interacts with the machine mutually, there is a need for the machine to understand the human state, especially cognitive state, when the human's operation task demands an intensive cognitive activity. Due to a well-known fact with the human being, a highly uncertain cognitive state and behavior as well as expressions or cues, the recent trend to infer the human state is to consider multimodality features of the human operator. In this paper, we present a method for multimodality inferring of human cognitive states by integrating neuro-fuzzy network and information fusion techniques. To demonstrate the effectiveness of this method, we take the driver fatigue detection as an example. The proposed method has, in particular, the following new features. First, human expressions are classified into four categories: (i casual or contextual feature, (ii contact feature, (iii contactless feature, and (iv performance feature. Second, the fuzzy neural network technique, in particular Takagi-Sugeno-Kang (TSK model, is employed to cope with uncertain behaviors. Third, the sensor fusion technique, in particular ordered weighted aggregation (OWA, is integrated with the TSK model in such a way that cues are taken as inputs to the TSK model, and then the outputs of the TSK are fused by the OWA which gives outputs corresponding to particular cognitive states under interest (e.g., fatigue. We call this method TSK-OWA. Validation of the TSK-OWA, performed in the Northeastern University vehicle drive simulator, has shown that the proposed method is promising to be a general tool for human cognitive state inferring and a special tool for the driver fatigue detection.

  14. Fusion of Inertial/Magnetic Sensor Measurements and Map Information for Pedestrian Tracking.

    Science.gov (United States)

    Bao, Shu-Di; Meng, Xiao-Li; Xiao, Wendong; Zhang, Zhi-Qiang

    2017-02-10

    The wearable inertial/magnetic sensor based human motion analysis plays an important role in many biomedical applications, such as physical therapy, gait analysis and rehabilitation. One of the main challenges for the lower body bio-motion analysis is how to reliably provide position estimations of human subject during walking. In this paper, we propose a particle filter based human position estimation method using a foot-mounted inertial and magnetic sensor module, which not only uses the traditional zero velocity update (ZUPT), but also applies map information to further correct the acceleration double integration drift and thus improve estimation accuracy. In the proposed method, a simple stance phase detector is designed to identify the stance phase of a gait cycle based on gyroscope measurements. For the non-stance phase during a gait cycle, an acceleration control variable derived from ZUPT information is introduced in the process model, while vector map information is taken as binary pseudo-measurements to further enhance position estimation accuracy and reduce uncertainty of walking trajectories. A particle filter is then designed to fuse ZUPT information and binary pseudo-measurements together. The proposed human position estimation method has been evaluated with closed-loop walking experiments in indoor and outdoor environments. Results of comparison study have illustrated the effectiveness of the proposed method for application scenarios with useful map information.

  15. Fusion of Inertial/Magnetic Sensor Measurements and Map Information for Pedestrian Tracking

    Science.gov (United States)

    Bao, Shu-Di; Meng, Xiao-Li; Xiao, Wendong; Zhang, Zhi-Qiang

    2017-01-01

    The wearable inertial/magnetic sensor based human motion analysis plays an important role in many biomedical applications, such as physical therapy, gait analysis and rehabilitation. One of the main challenges for the lower body bio-motion analysis is how to reliably provide position estimations of human subject during walking. In this paper, we propose a particle filter based human position estimation method using a foot-mounted inertial and magnetic sensor module, which not only uses the traditional zero velocity update (ZUPT), but also applies map information to further correct the acceleration double integration drift and thus improve estimation accuracy. In the proposed method, a simple stance phase detector is designed to identify the stance phase of a gait cycle based on gyroscope measurements. For the non-stance phase during a gait cycle, an acceleration control variable derived from ZUPT information is introduced in the process model, while vector map information is taken as binary pseudo-measurements to further enhance position estimation accuracy and reduce uncertainty of walking trajectories. A particle filter is then designed to fuse ZUPT information and binary pseudo-measurements together. The proposed human position estimation method has been evaluated with closed-loop walking experiments in indoor and outdoor environments. Results of comparison study have illustrated the effectiveness of the proposed method for application scenarios with useful map information. PMID:28208591

  16. Learning representations for improved target identification, scene classification, and information fusion

    Science.gov (United States)

    Flenner, Arjuna; Culp, Michael; McGee, Ryan; Flenner, Jennifer; Garcia-Cardona, Cristina

    2015-05-01

    Object representation is fundamental to Automated Target Recognition (ATR). Many ATR approaches choose a basis, such as a wavelet or Fourier basis, to represent the target. Recently, advancements in Image and Signal processing have shown that object recognition can be improved if, rather than a assuming a basis, a database of training examples is used to learn a representation. We discuss learning representations using Non-parametric Bayesian topic models, and demonstrate how to integrate information from other sources to improve ATR. We apply the method to EO and IR information integration for vehicle target identification and show that the learned representation of the joint EO and IR information improves target identification by 4%. Furthermore, we demonstrate that we can integrate text and imagery data to direct the representation for mission specific tasks and improve performance by 8%. Finally, we illustrate integrating graphical models into representation learning to improve performance by 2%.

  17. A Fusion of Sensors Information for Autonomous Driving Control of an Electric Vehicle (EV)

    Science.gov (United States)

    Haris, Hasri; Wan, Khairunizam; Hazry, D.; Razlan, Zuradzman M.

    2013-12-01

    The study uses the environment of the road as input variables for the main system to control steering wheel, brake and acceleration pedals. A camera is installed on the roof of the Electric Vehicles (EV) and is used to obtain image information of the road. On the other hand, users or drivers do not have to directly contact with the main system because it will autonomously control the devices by using fuzzy information of the road conditions. A fuzzy information means in the preliminary experiments, reasoning of the various environments will be done by using fuzzy approach. At the end of the study, several existing algorithms for controlling motors and image processing technique could be combined into an algorithm that could be used to move EV without assist from human.

  18. Hierarchical hybrid testability modeling and evaluation method based on information fusion

    Institute of Scientific and Technical Information of China (English)

    Xishan Zhang; Kaoli Huang; Pengcheng Yan; Guangyao Lian

    2015-01-01

    In order to meet the demand of testability analysis and evaluation for complex equipment under a smal sample test in the equipment life cycle, the hierarchical hybrid testability model-ing and evaluation method (HHTME), which combines the testabi-lity structure model (TSM) with the testability Bayesian networks model (TBNM), is presented. Firstly, the testability network topo-logy of complex equipment is built by using the hierarchical hybrid testability modeling method. Secondly, the prior conditional prob-ability distribution between network nodes is determined through expert experience. Then the Bayesian method is used to update the conditional probability distribution, according to history test information, virtual simulation information and similar product in-formation. Final y, the learned hierarchical hybrid testability model (HHTM) is used to estimate the testability of equipment. Compared with the results of other modeling methods, the relative deviation of the HHTM is only 0.52%, and the evaluation result is the most accurate.

  19. Bio-Inspired Computing, Information Swarms, and the Problem of Data Fusion

    Science.gov (United States)

    Nordmann, Brian

    The problem of information overload becomes a huge challenge, particularly when attempting to understanding how to introduce more and more disparate data streams into a data system. Little has been done on how to make those data streams understandable and usable by an analyst. A new paradigm is constructed here, unconstrained by the limits of the current desktop computer, to develop new ways of processing and analyzing data based on the behavior of cellular scale organisms. The additional issue of analytic "groupthink" or "information swarms" is also addressed, with potential solutions to the problem of "paralysis by analysis."

  20. Multispectral, hyperspectral, and LiDAR remote sensing and geographic information fusion for improved earthquake response

    Science.gov (United States)

    Kruse, F. A.; Kim, A. M.; Runyon, S. C.; Carlisle, Sarah C.; Clasen, C. C.; Esterline, C. H.; Jalobeanu, A.; Metcalf, J. P.; Basgall, P. L.; Trask, D. M.; Olsen, R. C.

    2014-06-01

    The Naval Postgraduate School (NPS) Remote Sensing Center (RSC) and research partners have completed a remote sensing pilot project in support of California post-earthquake-event emergency response. The project goals were to dovetail emergency management requirements with remote sensing capabilities to develop prototype map products for improved earthquake response. NPS coordinated with emergency management services and first responders to compile information about essential elements of information (EEI) requirements. A wide variety of remote sensing datasets including multispectral imagery (MSI), hyperspectral imagery (HSI), and LiDAR were assembled by NPS for the purpose of building imagery baseline data; and to demonstrate the use of remote sensing to derive ground surface information for use in planning, conducting, and monitoring post-earthquake emergency response. Worldview-2 data were converted to reflectance, orthorectified, and mosaicked for most of Monterey County; CA. Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data acquired at two spatial resolutions were atmospherically corrected and analyzed in conjunction with the MSI data. LiDAR data at point densities from 1.4 pts/m2 to over 40 points/ m2 were analyzed to determine digital surface models. The multimodal data were then used to develop change detection approaches and products and other supporting information. Analysis results from these data along with other geographic information were used to identify and generate multi-tiered products tied to the level of post-event communications infrastructure (internet access + cell, cell only, no internet/cell). Technology transfer of these capabilities to local and state emergency response organizations gives emergency responders new tools in support of post-disaster operational scenarios.

  1. A Transient Fault Recognition Method for an AC-DC Hybrid Transmission System Based on MMC Information Fusion

    Directory of Open Access Journals (Sweden)

    Jikai Chen

    2016-12-01

    Full Text Available At present, the research is still in the primary stage in the process of fault disturbance energy transfer in the multilevel modular converter based high voltage direct current (HVDC-MMC. An urgent problem is how to extract and analyze the fault features hidden in MMC electrical information in further studies on the HVDC system. Aiming at the above, this article analyzes the influence of AC transient disturbance on electrical signals of MMC. At the same time, it is found that the energy distribution of electrical signals in MMC is different for different arms in the same frequency bands after the discrete wavelet packet transformation (DWPT. Renyi wavelet packet energy entropy (RWPEE and Renyi wavelet packet time entropy (RWPTE are proposed and applied to AC transient fault feature extraction from electrical signals in MMC. Using the feature extraction results of Renyi wavelet packet entropy (RWPE, a novel recognition method is put forward to recognize AC transient faults using the information fusion technology. Theoretical analysis and experimental results show that the proposed method is available to recognize transient AC faults.

  2. 基于分块信息熵的彩色图像融合算法%Color Image Fusion Algorithm Based on Block Information Entropy

    Institute of Scientific and Technical Information of China (English)

    杜欣宇; 陈丽芳; 刘渊

    2015-01-01

    针对常用的彩色图像融合算法在融合过程中降低原图像空间分辨率的问题,提出了一种基于分块信息熵的彩色图像融合算法。算法通过对图像进行块划分,计算分块图像在 IHS 色彩空间中亮度分量 I 上的信息熵,以对应块中信息熵大的为主元进行融合,得到新的融合图像。实验表明,与常用的IHS变换及PCA图像融合算法相比本文提出的方法可以更好的统筹源图像的场景细节信息,且在信息熵与平均梯度等方面都有很好的表现,具备一定的实用价值。%A method of color image fusion is proposed based on block information entropy, concerning the spatial resolution reduction of the original artwork during the fusion process with the traditional image fusion method. The developed method generates new fusion image by blocking images, calculating the information entropy of the blocked image on the luminance component I in color space IHS, and fusing the pivot element of the corresponding block whose information entropy is more. The experiment suggests that the method proposed in this thesis is better capable of planning scenic detailed information as a whole, compared to the traditional color image fusion method. In addition, it performs exceptionally in many aspects including information entropy and average gradient. Therefore, it is indeed of some practical value.

  3. Causal Models and Exploratory Analysis in Heterogeneous Information Fusion for Detecting Potential Terrorists

    Science.gov (United States)

    2015-11-01

    underlying phenomena are more poorly understood than in physics problems. All of this motivated our current research, the report for which is in the...call different theories of the case. They may also stem from intuition or biases, depending on perspective. If they are made explicit, then an...sure whether his motivation for the cause is high or very high, but it’s up there.” The problems of dealing with complex information have been

  4. Improved information fusion approach based on D-S evidence theory

    Energy Technology Data Exchange (ETDEWEB)

    Sun, Rui; Huang, Hong Zhong; Miao, Qiang [University of Electronic Science and Technology of China, Chengdu (China)

    2008-12-15

    Conventional D-S evidence theory has an unavoidable disadvantage in that it will give counter-intuitive result when fusing high conflict information. This paper proposes an improved method to solve this problem. By reassigning weight factors before fusing, the method can give reasonable results especially when the initial weight factors of conflict evidences are almost equal. It gives an adjustable factor to adjust the reassigning force. An example is given to illustrate these advantages

  5. APPLICATION OF FUZZY LOGIC IN WEIGHTED INFORMATION FUSION OF HAND GEOMETRY AND PALM PRINTS

    Institute of Scientific and Technical Information of China (English)

    Yang Fan; Pu Zhaobang; Zhao Yugang

    2004-01-01

    Based on the theory of fuzzy logic, the method of obfuscating coefficient and reliability to fuse the information of hand geometry and palm prints for identity discrimination is proposed. The experiment proves that the method is useful and effective. Its identification rate is up to 90%, which is 20%-30% higher than that of using hand geometry or palm prints singly,thus it can be widely used in highly demanded security field, such as finance, entrance guard, etc.

  6. MULTIMODAL INFORMATION FUSION AND TEMPORAL INTEGRATION FOR VIOLENCE DETECTION IN MOVIES

    OpenAIRE

    Penet, Cédric; Demarty, Claire-Hélène; Gravier, Guillaume; Gros, Patrick

    2012-01-01

    International audience; This paper presents a violent shots detection system that studies several methods for introducing temporal and multimodal information in the framework. It also investigates different kinds of Bayesian network structure learning algorithms for modelling these problems. The system is trained and tested using the MediaEval 2011 Affect Task corpus, which comprises of 15 Hollywood movies. It is experimentally shown that both multimodality and temporality add interesting inf...

  7. Application of evidence theory in information fusion of multiple sources in bayesian analysis

    Institute of Scientific and Technical Information of China (English)

    周忠宝; 蒋平; 武小悦

    2004-01-01

    How to obtain proper prior distribution is one of the most critical problems in Bayesian analysis. In many practical cases, the prior information often comes from different sources, and the prior distribution form could be easily known in some certain way while the parameters are hard to determine. In this paper, based on the evidence theory, a new method is presented to fuse the information of multiple sources and determine the parameters of the prior distribution when the form is known. By taking the prior distributions which result from the information of multiple sources and converting them into corresponding mass functions which can be combined by Dempster-Shafer (D-S) method, we get the combined mass function and the representative points of the prior distribution. These points are used to fit with the given distribution form to determine the parameters of the prior distrbution. And then the fused prior distribution is obtained and Bayesian analysis can be performed.How to convert the prior distributions into mass functions properly and get the representative points of the fused prior distribution is the central question we address in this paper. The simulation example shows that the proposed method is effective.

  8. WIRELESS SENSOR NETWORKS AND FUSION OF CONTEXTUAL INFORMATION FOR WEATHER OUTLIER DETECTION

    Directory of Open Access Journals (Sweden)

    A. Amidi

    2013-09-01

    Full Text Available Weather stations are often expensive hence it may be difficult to obtain data with a high spatial coverage. A low cost alternative is wireless sensor network (WSN, which can be deployed as weather stations and address the aforementioned shortcoming. Due to imperfect sensors in WSNs context, provided raw data may be drawn in from of a low quality and reliability level, expectedly that is an emergence of applying outlier detection methods. Outliers may include errors or potentially useful information called events. In this research, forecast values as contextual information are utilized for weather outlier detection. In this paper, outliers are identified by comparing the patterns of WSN and forecasts. With that approach, temporal outliers are detected with respect to slopes of the WSNs and forecasts in the presence of pre-defined tolerance. The experimental results from the real data-set validate the applicability of using contextual information in the context of WSNs for outlier detection in terms of accuracy and energy efficiency.

  9. Road Extraction from High-resolution Remote Sensing Images Based on Multiple Information Fusion

    Directory of Open Access Journals (Sweden)

    LI Xiao-feng

    2016-02-01

    Full Text Available Road extraction from high-resolution remote sensing images has been considered to be a significant but very difficult task.Especially the spectrum of some buildings is similar with that of roads,which makes the surfaces being connect with each other after classification and difficult to be distinguished.Based on the cooperation between road surfaces and edges,this paper presents an approach to purify roads from high-resolution remote sensing images.Firstly,we try to improve the extraction accuracy of road surfaces and edges respectively.The logic cooperation between these two binary images is used to separate road and non-road objects.Then the road objects are confirmed by the cooperation between surfaces and edges.And the effective shape indices(e.g.polar moment of inertia and narrow extent index are applied to eliminate non-road objects.So the road information is refined.The experiments indicate that the proposed approach is efficient for eliminating non-road information and extracting road information from high-resolution remote sensing image.

  10. Medical Image Fusion

    Directory of Open Access Journals (Sweden)

    Mitra Rafizadeh

    2007-08-01

    Full Text Available Technological advances in medical imaging in the past two decades have enable radiologists to create images of the human body with unprecedented resolution. MRI, PET,... imaging devices can quickly acquire 3D images. Image fusion establishes an anatomical correlation between corresponding images derived from different examination. This fusion is applied either to combine images of different modalities (CT, MRI or single modality (PET-PET."nImage fusion is performed in two steps:"n1 Registration: spatial modification (eg. translation of model image relative to reference image in order to arrive at an ideal matching of both images. Registration methods are feature-based and intensity-based approaches."n2 Visualization: the goal of it is to depict the spatial relationship between the model image and refer-ence image. We can point out its clinical application in nuclear medicine (PET/CT.

  11. Perspective for special Gurdon issue for differentiation: can cell fusion inform nuclear reprogramming?

    Science.gov (United States)

    Burns, David; Blau, Helen M

    2014-07-01

    Nuclear reprogramming was first shown to be possible by Sir John Gurdon over a half century ago. The process has been revolutionized by the production of induced pluripotent cells by overexpression of the four transcription factors discovered by Shinya Yamanaka, which now enables mammalian applications. Yet, reprogramming by a few transcription factors remains incomplete and inefficient, whether to pluripotent or differentiated cells. We propose that a better understanding of mechanistic insights based on developmental principles gained from heterokaryon studies may inform the process of directing cell fate, fundamentally and clinically.

  12. Geographic information system for fusion and analysis of high-resolution remote sensing and ground data

    Science.gov (United States)

    Freeman, Anthony; Way, Jo Bea; Dubois, Pascale; Leberl, Franz

    1993-01-01

    We seek to combine high-resolution remotely sensed data with models and ground truth measurements, in the context of a Geographical Information System (GIS), integrated with specialized image processing software. We will use this integrated system to analyze the data from two Case Studies, one at a boreal forest site, the other a tropical forest site. We will assess the information content of the different components of the data, determine the optimum data combinations to study biogeophysical changes in the forest, assess the best way to visualize the results, and validate the models for the forest response to different radar wavelengths/polarizations. During the 1990's, unprecedented amounts of high-resolution images from space of the Earth's surface will become available to the applications scientist from the LANDSAT/TM series, European and Japanese ERS-1 satellites, RADARSAT and SIR-C missions. When the Earth Observation Systems (EOS) program is operational, the amount of data available for a particular site can only increase. The interdisciplinary scientist, seeking to use data from various sensors to study his site of interest, may be faced with massive difficulties in manipulating such large data sets, assessing their information content, determining the optimum combinations of data to study a particular parameter, visualizing his results and validating his model of the surface. The techniques to deal with these problems are also needed to support the analysis of data from NASA's current program of Multi-sensor Airborne Campaigns, which will also generate large volumes of data. In the Case Studies outlined in this proposal, we will have somewhat unique data sets. For the Bonanza Creek Experimental Forest (Case 1) calibrated DC-8 SAR (Synthetic Aperture Radar) data and extensive ground truth measurement are already at our disposal. The data set shows documented evidence to temporal change. The Belize Forest Experiment (Case 2) will produce calibrated DC-8 SAR

  13. Evaluation of a Change Detection Methodology by Means of Binary Thresholding Algorithms and Informational Fusion Processes

    Directory of Open Access Journals (Sweden)

    Javier Sanchez

    2012-03-01

    Full Text Available Landcover is subject to continuous changes on a wide variety of temporal and spatial scales. Those changes produce significant effects in human and natural activities. Maintaining an updated spatial database with the occurred changes allows a better monitoring of the Earth’s resources and management of the environment. Change detection (CD techniques using images from different sensors, such as satellite imagery, aerial photographs, etc., have proven to be suitable and secure data sources from which updated information can be extracted efficiently, so that changes can also be inventoried and monitored. In this paper, a multisource CD methodology for multiresolution datasets is applied. First, different change indices are processed, then different thresholding algorithms for change/no_change are applied to these indices in order to better estimate the statistical parameters of these categories, finally the indices are integrated into a change detection multisource fusion process, which allows generating a single CD result from several combination of indices. This methodology has been applied to datasets with different spectral and spatial resolution properties. Then, the obtained results are evaluated by means of a quality control analysis, as well as with complementary graphical representations. The suggested methodology has also been proved efficiently for identifying the change detection index with the higher contribution.

  14. A relaxed fusion of information from real and synthetic images to predict complex behavior

    Science.gov (United States)

    Lyons, Damian M.; Benjamin, D. Paul

    2011-05-01

    An important component of cognitive robotics is the ability to mentally simulate physical processes and to compare the expected results with the information reported by a robot's sensors. In previous work, we have proposed an approach that integrates a 3D game-engine simulation into the robot control architecture. A key part of that architecture is the Match-Mediated Difference (MMD) operation, an approach to fusing sensory data and synthetic predictions at the image level. The MMD operation insists that simulated and predicted scenes are similar in terms of the appearance of the objects in the scene. This is an overly restrictive constraint on the simulation since parts of the predicted scene may not have been previously viewed by the robot. In this paper we propose an extended MMD operation that relaxes the constraint and allows the real and synthetic scenes to differ in some features but not in (selected) other features. Image difference operations that allow a real image and synthetic image generated from an arbitrarily colored graphical model of a scene to be compared. Scenes with the same content show a zero difference. Scenes with varying foreground objects can be controlled to compare the color, size and shape of the foreground.

  15. Bearing Fault Diagnosis Based on Deep Belief Network and Multisensor Information Fusion

    Directory of Open Access Journals (Sweden)

    Jie Tao

    2016-01-01

    Full Text Available In the rolling bearing fault diagnosis, the vibration signal of single sensor is usually nonstationary and noisy, which contains very little useful information, and impacts the accuracy of fault diagnosis. In order to solve the problem, this paper presents a novel fault diagnosis method using multivibration signals and deep belief network (DBN. By utilizing the DBN’s learning ability, the proposed method can adaptively fuse multifeature data and identify various bearing faults. Firstly, multiple vibration signals are acquainted from various fault bearings. Secondly, some time-domain characteristics are extracted from original signals of each individual sensor. Finally, the features data of all sensors are put into the DBN and generate an appropriate classifier to complete fault diagnosis. In order to demonstrate the effectiveness of multivibration signals, experiments are carried out on the individual sensor with the same conditions and procedure. At the same time, the method is compared with SVM, KNN, and BPNN methods. The results show that the DBN-based method is able to not only adaptively fuse multisensor data, but also obtain higher identification accuracy than other methods.

  16. Observability considerations for multi-sensor and product fusion: Bias, information content, and validation (Invited)

    Science.gov (United States)

    Reid, J. S.; Zhang, J.; Hyer, E. J.; Campbell, J. R.; Christopher, S. A.; Ferrare, R. A.; Leptoukh, G. G.; Stackhouse, P. W.

    2009-12-01

    With the successful development of many aerosol products from the NASA A-train as well as new operational geostationary and polar orbiting sensors, the scientific community now has a host of new parameters to use in their analyses. The variety and quality of products has reached a point where the community has moved from basic observation-based science to sophisticated multi-component research that addresses the complex atmospheric environment. In order for these satellite data contribute to the science their uncertainty levels must move from semi-quantitative to quantitative. Initial attempts to quantify uncertainties have led to some recent debate in the community as to the efficacy of aerosol products from current and future NASA satellite sensors. In an effort to understand the state of satellite product fidelity, the Naval Research Laboratory and a newly reformed Global Energy and Water Cycle Experiment (GEWEX) aerosol panel have both initiated assessments of the nature of aerosol remote sensing uncertainty and bias. In this talk we go over areas of specific concern based on the authors’ experiences with the data, emphasizing the multi-sensor problem. We first enumerate potential biases, including retrieval, sampling/contextual, and cognitive bias. We show examples of how these biases can subsequently lead to the pitfalls of correlated/compensating errors, tautology, and confounding. The nature of bias is closely related to the information content of the sensor signal and its subsequent application to the derived aerosol quantity of interest (e.g., optical depth, flux, index of refraction, etc.). Consequently, purpose-specific validation methods must be employed, especially when generating multi-sensor products. Indeed, cloud and lower boundary condition biases in particular complicate the more typical methods of regressional bias elimination and histogram matching. We close with a discussion of sequestration of uncertainty in multi-sensor applications of

  17. Controlled Nuclear Fusion.

    Science.gov (United States)

    Glasstone, Samuel

    This publication is one of a series of information booklets for the general public published by The United States Atomic Energy Commission. Among the topics discussed are: Importance of Fusion Energy; Conditions for Nuclear Fusion; Thermonuclear Reactions in Plasmas; Plasma Confinement by Magnetic Fields; Experiments With Plasmas; High-Temperature…

  18. 基于传感器特征可信度的多信息融合模态研究%Study on multi-information fusion modal based on feature credibility of sensor

    Institute of Scientific and Technical Information of China (English)

    杨剑锋; 周宇; 侯涛; 陈小强

    2013-01-01

    The key of information fusion is how to control amount of information, process relationship between various information and priority levels. A method for information fusion based on information feature credibility which is applied to mode construction of information fusion is presented. First, through pre-optimizing the credibility of information features information for one fusion, then through feature association in multiple information mode, the second information fusion is realized. Find the best multi-information modal construction method,and improve quality and credibility of information fusion%信息融合关键在于如何控制信息的数量,处理各种信息之间的关系以及优先级别.提出一种基于信息特征可信度的信息融合方法运用于信息融合的模态构建之中.通过预先优化信息特征的可信度进行信息的一次融合,再通过多信息模态中的特征关联进行信息的二次融合.找到最佳的多信息的模态构建方法,提高信息融合的质量和可信度.

  19. Economics of fusion research

    Energy Technology Data Exchange (ETDEWEB)

    None, None

    1977-10-15

    This report provides the results of a study of methods of economic analysis applied to the evaluation of fusion research. The study recognizes that a hierarchy of economic analyses of research programs exists: standard benefit-cost analysis, expected value of R and D information, and expected utility analysis. It is shown that standard benefit-cost analysis, as commonly applied to research programs, is inadequate for the evaluation of a high technology research effort such as fusion research. A methodology for performing an expected value analysis is developed and demonstrated and an overview of an approach to perform an expected utility analysis of fusion research is presented. In addition, a potential benefit of fusion research, not previously identified, is discussed and rough estimates of its magnitude are presented. This benefit deals with the effect of a fusion research program on optimal fossil fuel consumption patterns. The results of this study indicate that it is both appropriate and possible to perform an expected value analysis of fusion research in order to assess the economics of a fusion research program. The results indicate further that the major area of benefits of fusion research is likely due to the impact of a fusion research program on optimal fossil fuel consumption patterns and it is recommended that this benefit be included in future assessments of fusion research economics.

  20. Information Fusion in Supportability Assessment of Aeronautic Equipment%航空装备保障性评价中的信息融合技术

    Institute of Scientific and Technical Information of China (English)

    王强; 刘雪峰; 端木京顺

    2001-01-01

    Supportability assessment is an important job in the AeronauticEquipment's entire life cycle and it is a certification of the working effect of Integrated Logistics Support of aeronautic equipment. But in the supportability assessment of the aeronautic equipment, there are such problems as the redundancy of information, an unnecessarily wide range of time and space scope, and a lack of accuracy. With the first ever introduction of information fusion in supportability assessment and the analysis of the suitability of information fusion in supportability assessment, this paper researches into the rules and fusion models of information fusion in supportability assessment and puts forward a brand-new strategy model of supportability information fusion. So, this paper has practical value in improving the accuracy of aeronautic equipment supportability assessment results and in pushing on the development of supportability assessment.%航空装备保障性评价是航空装备寿命周期过程中的一项重要工作,是对航空装备开展综合保障工作效果的验证,但航空装备保障性评价中往往存在信息量大、时空覆盖范围广、准确性不高的问题。因此文中首次将信息融合技术引入保障性评价工作,分析了信息融合技术在保障性评价中的适用性,探索了信息融合技术在保障性评价中的准则及融合模型,提出了全新的保障性信息融合策略模型,对提高航空装备保障性评价结果的准确性和推动保障性评价技术的发展具有较大的实际应用价值。

  1. COMPARISON OF VARIOUS APPROACHES TO MULTI-CHANNEL INFORMATION FUSION IN C-OTDR SYSTEMS FOR REMOTE MONITORING OF EXTENDED OBJECTS

    Directory of Open Access Journals (Sweden)

    A. V. Timofeev

    2015-01-01

    Full Text Available The paper presents new results concerning selection of optimal information fusion formula for ensembles of COTDR channels. Here C-OTDR is a coherent optical time domain reflectometer. Each of these channels provides data for appropriate automatic classifier which is designed to classify the elastic vibration sources in the multiclass case. Those classifiers form a so-called classifiers ensemble. Ensembles of Lipschitz Classifiers were considered. In this case the goal of information fusion is to create an integral classificator designed for effective classification of seismoacoustic target events. The Matching Pursuit Optimization Ensemble Classifiers (MPOEC, the Linear Programming Boosting (LP-Boost (LP-β and LP-B variants, the Multiple Kernel Learning (MKL, and Weighing of Inversely as Lipschitz Constants (WILC approaches were compared. The WILC is a brand new approach to optimal fusion of Lipschitz Classifiers Ensembles. The basics of these methods have been briefly described along with intrinsic features. All of those methods are based on reducing the task of choosing convex hull parameters to a solution of an optimization problem. All of the mentioned approaches can be successfully used for using in the C-OTDR system data processing. Results of practical usage are presented.

  2. Osteoclast Fusion

    DEFF Research Database (Denmark)

    Marie Julie Møller, Anaïs; Delaissé, Jean-Marie; Søe, Kent

    2017-01-01

    suggesting that fusion partners may specifically select each other and that heterogeneity between the partners seems to play a role. Therefore, we set out to directly test the hypothesis that fusion factors have a heterogenic involvement at different stages of nuclearity. Therefore, we have analyzed...... on the nuclearity of fusion partners. While CD47 promotes cell fusions involving mono-nucleated pre-osteoclasts, syncytin-1 promotes fusion of two multi-nucleated osteoclasts, but also reduces the number of fusions between mono-nucleated pre-osteoclasts. Furthermore, CD47 seems to mediate fusion mostly through......Investigations addressing the molecular keys of osteoclast fusion are primarily based on end-point analyses. No matter if investigations are performed in vivo or in vitro the impact of a given factor is predominantly analyzed by counting the number of multi-nucleated cells, the number of nuclei per...

  3. Membrane fusion

    DEFF Research Database (Denmark)

    Bendix, Pól Martin

    2015-01-01

    At Stanford University, Boxer lab, I worked on membrane fusion of small unilamellar lipid vesicles to flat membranes tethered to glass surfaces. This geometry closely resembles biological systems in which liposomes fuse to plasma membranes. The fusion mechanism was studied using DNA zippering...... between complementary strands linked to the two apposing membranes closely mimicking the zippering mechanism of SNARE fusion complexes....

  4. WE-EF-BRD-03: I Want It Now!: Advances in MRI Acquisition, Reconstruction and the Use of Priors to Enable Fast Anatomic and Physiologic Imaging to Inform Guidance and Adaptation Decisions

    Energy Technology Data Exchange (ETDEWEB)

    Hu, Y. [Mayo Clinic Arizona (United States)

    2015-06-15

    MRI-guided treatment is a growing area of medicine, particularly in radiotherapy and surgery. The exquisite soft tissue anatomic contrast offered by MRI, along with functional imaging, makes the use of MRI during therapeutic procedures very attractive. Challenging the utility of MRI in the therapy room are many issues including the physics of MRI and the impact on the environment and therapeutic instruments, the impact of the room and instruments on the MRI; safety, space, design and cost. In this session, the applications and challenges of MRI-guided treatment will be described. The session format is: Past, present and future: MRI-guided radiotherapy from 2005 to 2025: Jan Lagendijk Battling Maxwell’s equations: Physics challenges and solutions for hybrid MRI systems: Paul Keall I want it now!: Advances in MRI acquisition, reconstruction and the use of priors to enable fast anatomic and physiologic imaging to inform guidance and adaptation decisions: Yanle Hu MR in the OR: The growth and applications of MRI for interventional radiology and surgery: Rebecca Fahrig Learning Objectives: To understand the history and trajectory of MRI-guided radiotherapy To understand the challenges of integrating MR imaging systems with linear accelerators To understand the latest in fast MRI methods to enable the visualisation of anatomy and physiology on radiotherapy treatment timescales To understand the growing role and challenges of MRI for image-guided surgical procedures My disclosures are publicly available and updated at: http://sydney.edu.au/medicine/radiation-physics/about-us/disclosures.php.

  5. Fusion rings and fusion ideals

    DEFF Research Database (Denmark)

    Andersen, Troels Bak

    by the so-called fusion ideals. The fusion rings of Wess-Zumino-Witten models have been widely studied and are well understood in terms of precise combinatorial descriptions and explicit generating sets of the fusion ideals. They also appear in another, more general, setting via tilting modules for quantum...

  6. Early fetal anatomical sonography.

    LENUS (Irish Health Repository)

    Donnelly, Jennifer C

    2012-10-01

    Over the past decade, prenatal screening and diagnosis has moved from the second into the first trimester, with aneuploidy screening becoming both feasible and effective. With vast improvements in ultrasound technology, sonologists can now image the fetus in greater detail at all gestational ages. In the hands of experienced sonographers, anatomic surveys between 11 and 14 weeks can be carried out with good visualisation rates of many structures. It is important to be familiar with the normal development of the embryo and fetus, and to be aware of the major anatomical landmarks whose absence or presence may be deemed normal or abnormal depending on the gestational age. Some structural abnormalities will nearly always be detected, some will never be and some are potentially detectable depending on a number of factors.

  7. Resource Management and Information Fusion of Battlefield Awareness%战场感知资源管理与信息融合

    Institute of Scientific and Technical Information of China (English)

    赵宗贵; 王国强; 刁联旺

    2012-01-01

    Aimed at solving problems of recommended and revised data fusion model of Joint Di- rectorsr Laboratories (JDL) 2004, the battlefield awareness is divided into two parts: resource management (RM) and information fusion (IF). The relations of concepts, functions and multi- level control between RM and IF are described, and a functional structure of the battlefield awareness system is established. Dasarathy data fusion input/output model is illustrated from the aspects of RM and IF. Finally, the guidance role of the model in the domain of battlefield aware- ness is given.%针对实验室联合理事会(JDL)信息融合2004推荐模型存在的不足,首先,将战场感知划分为资源管理与信息融合两部分;然后,描述了资源管理与信息融合之间的概念关系、功能关系与逐级控制关系,并建立了较完整的战场感知系统功能结构;最后,从资源管理和信息融合的角度对Dasarathy输入输出模型进行了解释,并指出了该模型对战场感知的指导作用。

  8. Prostatome: A combined anatomical and disease based MRI atlas of the prostate

    Energy Technology Data Exchange (ETDEWEB)

    Rusu, Mirabela; Madabhushi, Anant, E-mail: anant.madabhushi@case.edu [Case Western Reserve University, Cleveland, Ohio 44106 (United States); Bloch, B. Nicolas; Jaffe, Carl C. [Boston University School of Medicine, Boston, Massachusetts 02118 (United States); Genega, Elizabeth M. [Beth Israel Deaconess Medical Center, Boston, Massachusetts 02215 (United States); Lenkinski, Robert E.; Rofsky, Neil M. [UT Southwestern Medical Center, Dallas, Texas 75235 (United States); Feleppa, Ernest [Riverside Research Institute, New York, New York 10038 (United States)

    2014-07-15

    Purpose: In this work, the authors introduce a novel framework, the anatomically constrained registration (AnCoR) scheme and apply it to create a fused anatomic-disease atlas of the prostate which the authors refer to as the prostatome. The prostatome combines a MRI based anatomic and a histology based disease atlas. Statistical imaging atlases allow for the integration of information across multiple scales and imaging modalities into a single canonical representation, in turn enabling a fused anatomical-disease representation which may facilitate the characterization of disease appearance relative to anatomic structures. While statistical atlases have been extensively developed and studied for the brain, approaches that have attempted to combine pathology and imaging data for study of prostate pathology are not extant. This works seeks to address this gap. Methods: The AnCoR framework optimizes a scoring function composed of two surface (prostate and central gland) misalignment measures and one intensity-based similarity term. This ensures the correct mapping of anatomic regions into the atlas, even when regional MRI intensities are inconsistent or highly variable between subjects. The framework allows for creation of an anatomic imaging and a disease atlas, while enabling their fusion into the anatomic imaging-disease atlas. The atlas presented here was constructed using 83 subjects with biopsy confirmed cancer who had pre-operative MRI (collected at two institutions) followed by radical prostatectomy. The imaging atlas results from mapping thein vivo MRI into the canonical space, while the anatomic regions serve as domain constraints. Elastic co-registration MRI and corresponding ex vivo histology provides “ground truth” mapping of cancer extent on in vivo imaging for 23 subjects. Results: AnCoR was evaluated relative to alternative construction strategies that use either MRI intensities or the prostate surface alone for registration. The AnCoR framework

  9. Poster — Thur Eve — 09: Evaluation of electrical impedance and computed tomography fusion algorithms using an anthropomorphic phantom

    Energy Technology Data Exchange (ETDEWEB)

    Chugh, Brige Paul; Krishnan, Kalpagam; Liu, Jeff; Kohli, Kirpal [BC Cancer Agency — Fraser Valley Centre (Canada)

    2014-08-15

    Integration of biological conductivity information provided by Electrical Impedance Tomography (EIT) with anatomical information provided by Computed Tomography (CT) imaging could improve the ability to characterize tissues in clinical applications. In this paper, we report results of our study which compared the fusion of EIT with CT using three different image fusion algorithms, namely: weighted averaging, wavelet fusion, and ROI indexing. The ROI indexing method of fusion involves segmenting the regions of interest from the CT image and replacing the pixels with the pixels of the EIT image. The three algorithms were applied to a CT and EIT image of an anthropomorphic phantom, constructed out of five acrylic contrast targets with varying diameter embedded in a base of gelatin bolus. The imaging performance was assessed using Detectability and Structural Similarity Index Measure (SSIM). Wavelet fusion and ROI-indexing resulted in lower Detectability (by 35% and 47%, respectively) yet higher SSIM (by 66% and 73%, respectively) than weighted averaging. Our results suggest that wavelet fusion and ROI-indexing yielded more consistent and optimal fusion performance than weighted averaging.

  10. 基于D-S证据理论的信息融合图像识别%Image information fusion recognition based on D-S evidence theory

    Institute of Scientific and Technical Information of China (English)

    张逵; 朱大奇

    2012-01-01

    In view of the uncertainty of image recognition, an information fusion image recognition algorithm is presented based on the Dempster-Shafer (D-S) evidence theory. The image texture feature parameters are extracted by gray level phase co-occurrence matrix and gray level-gradient co-occurrence matrix respectively. The texture feature parameters are converted to obtain the belief function assignment of the image to be recognized on the other types of image. The fusion belief function assignment can be achieved by using D-S joint rules to identify the image accurately. The superiority of the D-S data fusion in image recognition is illustrated by comparison of the single matrix image recognition with fusion recognition results.%针对图像识别的不确定问题,提出一种基于Dempster-Shafer( D-S)证据理论的信息融合图像识别算法.用灰度-相位共生矩阵和灰度-梯度共生矩阵提取图像的纹理特征参数,对纹理特征参数进行转化得到待识别图像在其他类图像上的信度函数分配;利用D-S联合规则得到融合后的信度函数分配,从而准确识别图像;通过单一矩阵图像识别结果与融合识别结果比较,说明D-S数据融合在识别图像方面的优越性.

  11. INFORMATION FUSION STEADY-STATE WHITE NOISE DECONVOLUTION ESTIMATORS WITH TIME-DELAYED MEASUREMENTS AND COLORED MEASUREMENT NOISES

    Institute of Scientific and Technical Information of China (English)

    Sun Xiaojun; Deng Zili

    2009-01-01

    White noise deconvolution or input white noise estimation problem has important application backgrounds in oil seismic exploration, communication and signal processing. By the modern time series analysis method, based on the Auto-Regressive Moving Average (ARMA) innovation model, under the linear minimum variance optimal fusion rules, three optimal weighted fusion white noise deconvolution estimators are presented for the multisensor systems with time-delayed measurements and colored measurement noises. They can handle the input white noise fused filtering, prediction and smoothing problems. The accuracy of the fusers is higher than that of each local white noise estimator. In order to compute the optimal weights, the formula of computing the local estimation error cross-covariances is given. A Monte Carlo simulation example for the system with 3 sensors and the Bernoulli-Gaussian input white noise shows their effectiveness and performances.

  12. Uncertainty and Climate Change and its effect on Generalization and Prediction abilities by creating Diverse Classifiers and Feature Section Methods using Information Fusion

    Directory of Open Access Journals (Sweden)

    Y. P. Kosta

    2010-11-01

    Full Text Available The model forecast suggests a deterministic approach. Forecasting was traditionally done by a singlemodel - deterministic prediction, recent years has witnessed drastic changes. Today, with InformationFusion (Ensemble technique it is possible to improve the generalization ability of classifiers with highlevels of reliability. Through Information Fusion it is easily possible to combine diverse & independentoutcomes for decision-making. This approach adopts the idea of combining the results of multiplemethods (two-way interactions between them using appropriate model on the testset. Althoughuncertainties are often very significant, for the purpose of single prediction, especially at the initialstage, one dose not consider uncertainties in the model, the initial conditions, or the very nature of theclimate (environment or atmosphere itself using single model. If we make small changes in the initialparameter setting, it will result in change in predictive accuracy of the model. Similarly, uncertainty inmodel physics can result in large forecast differences and errors. So, instead of running one prediction,run a collection/package/bundle (ensemble of predictions, each one kick starting from a different initialstate or with different conditions and sequentially executing the next. The variations resulting due toexecution of different prediction package/model could be then used (independently combining oraggregating to estimate the uncertainty of the prediction, giving us better accuracy and reliability. Inthis paper the authors propose to use Information fusion technique that will provide insight of probablekey parameters that is necessary to purposefully evaluate the successes of new generation of productsand services, improving forecasting. Ensembles can be creatively applied to provide insight against thenew generation products yielding higher probabilities of success. Ensemble will yield critical features ofthe products and also provide insight to

  13. 多源信息融合认知机理与模型研究%Cognitive Mechanism and Model of Multi-source Information Fusion

    Institute of Scientific and Technical Information of China (English)

    冯贵玉; 赵琪; 张可黛; 段洣毅

    2013-01-01

    In this paper, cognitive mechanism of multi-source information fusion of human brain on the systematic level is researched. By using the Principal Function Units(PFU) of brain, the information processing mechanism of human brain is explored, and a three-level central core cognitive model titled "object sensing — scene association — decision making" is established. Then each level of the model is analyzed. The research could be useful to design information fusion concept models and novel theory and algorithms.%论文对人脑多源信息融合处理的认知机理进行系统层次的梳理研究,利用人脑基本机能联合区等理论揭示了人脑的信息处理机制,建立了一个人脑信息融合“对象感知情景关联行动决策”三层核心认知模型.并对模型各层次进行了分析.该研究可为建立信息融合概念模型、发展新的信息融合理论和算法提供借鉴和参考.

  14. 磁浮列车测速定位中的信息融合研究%Information Fusion Research in Maglev Train Velocity and Position Detection

    Institute of Scientific and Technical Information of China (English)

    李晓龙; 刘锡良; 史黎明

    2013-01-01

      将信息滤波融合理论引入中低速磁浮列车测速定位领域,在交叉感应回线的测速定位基础上增加雷达测速定位传感器和查询应答器,以交叉感应回线和雷达传感器实现相对定位,以查询应答器实现绝对定位,从而得到多传感器信息融合测速定位,可以显著提高中低速磁浮列车测速定位的精度和可靠性。最后采用MATLAB仿真对结论进行了验证。%In this paper, information filtering fusion theory is introducted into the field of low-speed maglev train speed and position detection. Beside the cross induction coil, radar speed sensors and balise are also adopted. The relative positioning is realized by the radar and cross induction coil, and the absolute positioning is realized by the balise. The information fusion comes true by this way. The accuracy and reliability of speed and position detection can be significantly improved. The final conclusion is verified by MATLAB simulation.

  15. Real-time image fusion involving diagnostic ultrasound

    DEFF Research Database (Denmark)

    Ewertsen, Caroline; Săftoiu, Adrian; Gruionu, Lucian G;

    2013-01-01

    The aim of our article is to give an overview of the current and future possibilities of real-time image fusion involving ultrasound. We present a review of the existing English-language peer-reviewed literature assessing this technique, which covers technical solutions (for ultrasound...... and endoscopic ultrasound), image fusion in several anatomic regions, and electromagnetic needle tracking....

  16. A veterinary digital anatomical database.

    Science.gov (United States)

    Snell, J R; Green, R; Stott, G; Van Baerle, S

    1991-01-01

    This paper describes the Veterinary Digital Anatomical Database Project. The purpose of the project is to investigate the construction and use of digitally stored anatomical models. We will be discussing the overall project goals and the results to date. Digital anatomical models are 3 dimensional, solid model representations of normal anatomy. The digital representations are electronically stored and can be manipulated and displayed on a computer graphics workstation. A digital database of anatomical structures can be used in conjunction with gross dissection in teaching normal anatomy to first year students in the professional curriculum. The computer model gives students the opportunity to "discover" relationships between anatomical structures that may have been destroyed or may not be obvious in the gross dissection. By using a digital database, the student will have the ability to view and manipulate anatomical structures in ways that are not available through interactive video disk (IVD). IVD constrains the student to preselected views and sections stored on the disk.

  17. A veterinary digital anatomical database.

    OpenAIRE

    Snell, J.R.; Green, R; Stott, G; Van Baerle, S.

    1991-01-01

    This paper describes the Veterinary Digital Anatomical Database Project. The purpose of the project is to investigate the construction and use of digitally stored anatomical models. We will be discussing the overall project goals and the results to date. Digital anatomical models are 3 dimensional, solid model representations of normal anatomy. The digital representations are electronically stored and can be manipulated and displayed on a computer graphics workstation. A digital database of a...

  18. Anatomically-aided PET reconstruction using the kernel method

    Science.gov (United States)

    Hutchcroft, Will; Wang, Guobao; Chen, Kevin T.; Catana, Ciprian; Qi, Jinyi

    2016-09-01

    This paper extends the kernel method that was proposed previously for dynamic PET reconstruction, to incorporate anatomical side information into the PET reconstruction model. In contrast to existing methods that incorporate anatomical information using a penalized likelihood framework, the proposed method incorporates this information in the simpler maximum likelihood (ML) formulation and is amenable to ordered subsets. The new method also does not require any segmentation of the anatomical image to obtain edge information. We compare the kernel method with the Bowsher method for anatomically-aided PET image reconstruction through a simulated data set. Computer simulations demonstrate that the kernel method offers advantages over the Bowsher method in region of interest quantification. Additionally the kernel method is applied to a 3D patient data set. The kernel method results in reduced noise at a matched contrast level compared with the conventional ML expectation maximization algorithm.

  19. Occipital neuralgia: anatomic considerations.

    Science.gov (United States)

    Cesmebasi, Alper; Muhleman, Mitchel A; Hulsberg, Paul; Gielecki, Jerzy; Matusz, Petru; Tubbs, R Shane; Loukas, Marios

    2015-01-01

    Occipital neuralgia is a debilitating disorder first described in 1821 as recurrent headaches localized in the occipital region. Other symptoms that have been associated with this condition include paroxysmal burning and aching pain in the distribution of the greater, lesser, or third occipital nerves. Several etiologies have been identified in the cause of occipital neuralgia and include, but are not limited to, trauma, fibrositis, myositis, fracture of the atlas, and compression of the C-2 nerve root, C1-2 arthrosis syndrome, atlantoaxial lateral mass osteoarthritis, hypertrophic cervical pachymeningitis, cervical cord tumor, Chiari malformation, and neurosyphilis. The management of occipital neuralgia can include conservative approaches and/or surgical interventions. Occipital neuralgia is a multifactorial problem where multiple anatomic areas/structures may be involved with this pathology. A review of these etiologies may provide guidance in better understanding occipital neuralgia.

  20. Fusion reactor theory and conceptual design. (Latest citations from the INSPEC: Information Services for the Physics and Engineering Communities database). Published Search

    Energy Technology Data Exchange (ETDEWEB)

    1992-11-01

    The bibliography contains citations concerning theoretical and conceptual aspects of fusion reactor physics and designs. A variety of fusion reactors is discussed, including Tokamak, experimental, commercial, tandem mirror, and superconducting magnetic. Topics also include fusion reactor materials, Tokamak devices, blanket design, divertors, fusion plasma production, superconducting magnets, and cryogenic systems. (Contains a minimum of 159 citations and includes a subject term index and title list.)

  1. The Neurospora Transcription Factor ADV-1 Transduces Light Signals and Temporal Information to Control Rhythmic Expression of Genes Involved in Cell Fusion

    Directory of Open Access Journals (Sweden)

    Rigzin Dekhang

    2017-01-01

    Full Text Available Light and the circadian clock have a profound effect on the biology of organisms through the regulation of large sets of genes. Toward understanding how light and the circadian clock regulate gene expression, we used genome-wide approaches to identify the direct and indirect targets of the light-responsive and clock-controlled transcription factor ADV-1 in Neurospora crassa. A large proportion of ADV-1 targets were found to be light- and/or clock-controlled, and enriched for genes involved in development, metabolism, cell growth, and cell fusion. We show that ADV-1 is necessary for transducing light and/or temporal information to its immediate downstream targets, including controlling rhythms in genes critical to somatic cell fusion. However, while ADV-1 targets are altered in predictable ways in Δadv-1 cells in response to light, this is not always the case for rhythmic target gene expression. These data suggest that a complex regulatory network downstream of ADV-1 functions to generate distinct temporal dynamics of target gene expression relative to the central clock mechanism.

  2. FEM-based simulation of a fluorescence tomography experiment using anatomical MR images

    Science.gov (United States)

    Ren, Wuwei; Elmer, Andreas; Augath, Mark-Aurel; Rudin, Markus

    2016-03-01

    A hybrid system combining fluorescence molecular tomography (FMT) and magnetic resonance imaging (MRI) is attractive for preclinical imaging as it allows fusion of molecular information derived from FMT and anatomical reference data derived from MRI. We have previously developed such a system and demonstrated its performance in biological applications. For reconstruction slab geometry with homogeneous optical parameters was assumed, which led to undesirable artifacts. In order to exploit the power of the hybrid system, the use of MRI derived anatomical information, as a constraint for FMT reconstruction, appears logical. Heterogeneity of tissues and irregular surface derived from MRI can be accounted for by generating a mesh using the finite element method (FEM), and attributing optical parameters to individual mesh points. We have established a forward simulation tool based on TOAST++ to mimic an FMT experiment. MRI images were recorded on a 9.4T MR scanner using a T1-weighted pulse sequence. The voxelized dataset was processed by iso2mesh to yield a 3D-mesh. Four steps of FMT simulation were included: 1) Assignment of optical properties, 2) Specification of boundary conditions and generation of 3) excitation and 4) emission maps. FEM-derived results were compared with those obtained using the analytical solution of Green's function and with experimental data with a single fluorescent inclusion in a silicon phantom. Once, the forward modeling method is properly validated it will be used as a central element of a reconstruction algorithm for analyzing data derived from a hybrid FMT/MRI setup.

  3. Cold fusion

    Energy Technology Data Exchange (ETDEWEB)

    Suh, Suk Yong; Sung, Ki Woong; Kang, Joo Sang; Lee, Jong Jik [Korea Atomic Energy Research Institute, Taejon (Korea, Republic of)

    1995-02-01

    So called `cold fusion phenomena` are not confirmed yet. Excess heat generation is very delicate one. Neutron generation is most reliable results, however, the records are erratic and the same results could not be repeated. So there is no reason to exclude the malfunction of testing instruments. The same arguments arise in recording {sup 4}He, {sup 3}He, {sup 3}H, which are not rich in quantity basically. An experiment where plenty of {sup 4}He were recorded is attached in appendix. The problem is that we are trying to search cold fusion which is permitted by nature or not. The famous tunneling effect in quantum mechanics will answer it, however, the most fusion rate is known to be negligible. The focus of this project is on the theme that how to increase that negligible fusion rate. 6 figs, 4 tabs, 1512 refs. (Author).

  4. Spinal Fusion

    Science.gov (United States)

    ... results in predictable healing. Autograft is currently the “gold standard” source of bone for a fusion. The ... pump. With this technique, the patient presses a button that delivers a predetermined amount of narcotic pain ...

  5. Segmentation of biological target volumes on multi-tracer PET images based on information fusion for achieving dose painting in radiotherapy.

    Science.gov (United States)

    Lelandais, Benoît; Gardin, Isabelle; Mouchard, Laurent; Vera, Pierre; Ruan, Su

    2012-01-01

    Medical imaging plays an important role in radiotherapy. Dose painting consists in the application of a nonuniform dose prescription on a tumoral region, and is based on an efficient segmentation of biological target volumes (BTV). It is derived from PET images, that highlight tumoral regions of enhanced glucose metabolism (FDG), cell proliferation (FLT) and hypoxia (FMiso). In this paper, a framework based on Belief Function Theory is proposed for BTV segmentation and for creating 3D parametric images for dose painting. We propose to take advantage of neighboring voxels for BTV segmentation, and also multi-tracer PET images using information fusion to create parametric images. The performances of BTV segmentation was evaluated on an anthropomorphic phantom and compared with two other methods. Quantitative results show the good performances of our method. It has been applied to data of five patients suffering from lung cancer. Parametric images show promising results by highlighting areas where a high frequency or dose escalation could be planned.

  6. Data fusion mathematics theory and practice

    CERN Document Server

    Raol, Jitendra R

    2015-01-01

    Fills the Existing Gap of Mathematics for Data FusionData fusion (DF) combines large amounts of information from a variety of sources and fuses this data algorithmically, logically and, if required intelligently, using artificial intelligence (AI). Also, known as sensor data fusion (SDF), the DF fusion system is an important component for use in various applications that include the monitoring of vehicles, aerospace systems, large-scale structures, and large industrial automation plants. Data Fusion Mathematics: Theory and Practice offers a comprehensive overview of data fusion, and provides a

  7. Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion

    Directory of Open Access Journals (Sweden)

    Jie-sheng Wang

    2014-01-01

    Full Text Available For predicting the key technology indicators (concentrate grade and tailings recovery rate of flotation process, an echo state network (ESN based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO algorithm is proposed. Firstly, the color feature (saturation and brightness and texture features (angular second moment, sum entropy, inertia moment, etc. based on grey-level co-occurrence matrix (GLCM are adopted to describe the visual characteristics of the flotation froth image. Then the kernel principal component analysis (KPCA method is used to reduce the dimensionality of the high-dimensional input vector composed by the flotation froth image characteristics and process datum and extracts the nonlinear principal components in order to reduce the ESN dimension and network complex. The ESN soft-sensor model of flotation process is optimized by the GSO algorithm with congestion factor. Simulation results show that the model has better generalization and prediction accuracy to meet the online soft-sensor requirements of the real-time control in the flotation process.

  8. Improved GSO optimized ESN soft-sensor model of flotation process based on multisource heterogeneous information fusion.

    Science.gov (United States)

    Wang, Jie-sheng; Han, Shuang; Shen, Na-na

    2014-01-01

    For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, an echo state network (ESN) based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is proposed. Firstly, the color feature (saturation and brightness) and texture features (angular second moment, sum entropy, inertia moment, etc.) based on grey-level co-occurrence matrix (GLCM) are adopted to describe the visual characteristics of the flotation froth image. Then the kernel principal component analysis (KPCA) method is used to reduce the dimensionality of the high-dimensional input vector composed by the flotation froth image characteristics and process datum and extracts the nonlinear principal components in order to reduce the ESN dimension and network complex. The ESN soft-sensor model of flotation process is optimized by the GSO algorithm with congestion factor. Simulation results show that the model has better generalization and prediction accuracy to meet the online soft-sensor requirements of the real-time control in the flotation process.

  9. How Do We Know What Information Sharing Is Really Worth? Exploring Methodologies to Measure the Value of Information Sharing and Fusion Efforts

    Science.gov (United States)

    2014-01-01

    privacy and civil liberties has also been raised, since the potential for information collected in one location to be broadly shared could be...expenditures is not clear.6 The intangible costs of information sharing efforts on personal privacy are similarly difficult to assess and compare... paradoxically increase the risk that the information fails to be noticed or understood given the potential for information overload (Figure 2). For new

  10. Detection and Separation of Speech Event Using Audio and Video Information Fusion and Its Application to Robust Speech Interface

    Directory of Open Access Journals (Sweden)

    Futoshi Asano

    2004-09-01

    Full Text Available A method of detecting speech events in a multiple-sound-source condition using audio and video information is proposed. For detecting speech events, sound localization using a microphone array and human tracking by stereo vision is combined by a Bayesian network. From the inference results of the Bayesian network, information on the time and location of speech events can be known. The information on the detected speech events is then utilized in the robust speech interface. A maximum likelihood adaptive beamformer is employed as a preprocessor of the speech recognizer to separate the speech signal from environmental noise. The coefficients of the beamformer are kept updated based on the information of the speech events. The information on the speech events is also used by the speech recognizer for extracting the speech segment.

  11. Filling the gap between geophysics and geotechnics in landslide process understanding: a data fusion methodology to integrate multi-source information in hydro-mechanical modeling

    Science.gov (United States)

    Bernadie, S.; Gance, J.; Grandjean, G.; Malet, J.

    2013-12-01

    The population increase and the rising issue of climate change impact the long term stability of mountain slopes. So far, it is not yet possible to assess in all cases conditions for failure, reactivation or rapid surges of slopes. The main reason identified by Van Asch et al. (2007) is the excessive conceptualization of the slope in the models. Therefore to improve our forecasting capability, considering local information such as the local slope geometry, the soil material variability, hydrological processes and the presence of fissures are of first importance. Geophysical imaging, combined with geotechnical tests, is an adapted tool to obtain such detailed information. The development of near-surface geophysics in the last three decades encourages the use of multiple geophysical methods for slope investigations. However, fusion of real data is little used in this domain and a gap still exists between the data processed by the geophysicists and the slope hydro-mechanical models developed by the geotechnical engineers. Starting from this statement, we propose a methodological flowchart of multi-source geophysical and geotechnical data integration to construct a slope hydro-mechanical model of a selected profile at the Super-Sauze landslide. Based on data fusion concepts, the methodology aims at integrating various data in order to create a geological and a geotechnical model of the slope profile. The input data consist in seismic and geoelectrical tomographies (that give access to a spatially distributed information on the soil physical state) supplemented by punctual geotechnical tests (dynamic penetration tests). The tomograms and the geotechnical tests are combined into a unique interpreted model characterized by different geotechnical domains. We use the fuzzy logic clustering method in order to take into account the uncertainty coming from each input data. Then an unstructured finite element mesh, adapted to the resolution of the different input data and

  12. Anatomical adaptations of aquatic mammals.

    Science.gov (United States)

    Reidenberg, Joy S

    2007-06-01

    This special issue of the Anatomical Record explores many of the anatomical adaptations exhibited by aquatic mammals that enable life in the water. Anatomical observations on a range of fossil and living marine and freshwater mammals are presented, including sirenians (manatees and dugongs), cetaceans (both baleen whales and toothed whales, including dolphins and porpoises), pinnipeds (seals, sea lions, and walruses), the sea otter, and the pygmy hippopotamus. A range of anatomical systems are covered in this issue, including the external form (integument, tail shape), nervous system (eye, ear, brain), musculoskeletal systems (cranium, mandible, hyoid, vertebral column, flipper/forelimb), digestive tract (teeth/tusks/baleen, tongue, stomach), and respiratory tract (larynx). Emphasis is placed on exploring anatomical function in the context of aquatic life. The following topics are addressed: evolution, sound production, sound reception, feeding, locomotion, buoyancy control, thermoregulation, cognition, and behavior. A variety of approaches and techniques are used to examine and characterize these adaptations, ranging from dissection, to histology, to electron microscopy, to two-dimensional (2D) and 3D computerized tomography, to experimental field tests of function. The articles in this issue are a blend of literature review and new, hypothesis-driven anatomical research, which highlight the special nature of anatomical form and function in aquatic mammals that enables their exquisite adaptation for life in such a challenging environment.

  13. Visualization to support identification, exploitation, and fusion of data and information delivered from heterogeneous sources in ISR

    Science.gov (United States)

    Jamboti, Kavyashree; Van de Camp, Florian; Kuwertz, Achim; Haferkorn, Daniel; Eck, Ralf; Grasemann, Gunther

    2016-05-01

    In ISR (Intelligence, Surveillance and Reconnaissance), heterogeneous sources deliver data and information having spatial and temporal attributes. Real time and non-real time data created for various purposes, present in different formats has to be exploited and fused. The Coalition Shared Data (CSD) concept makes the interoperable sharing of ISR data and information possible. The concept itself and a technical approach for it were developed within the multinational projects CAESAR, MAJIIC and MAJIIC 2 and tested in coalition exercises. The interfaces of software systems providing access to CSD data must allow the user to intuitively use the system and form a substantial part with regard to user acceptance. We describe different systems and approaches we designed and developed to access CSD data that can locate and present the data to the user based on his specific demands. Visualization forms an important part of these systems which share the common challenge of representing data and information with spatial and temporal attributes. The visualization of data and information has to be designed in a manner that supports efficient access, discovery and optionally additional processing (such as filtering and sorting). Given the large amount of data and information that may be available, visualization taking into account their quality and inherent uncertainty is an additional challenge. This publication provides an overview of the systems and approaches we developed to present CSD data and identifies challenges common to these systems. To tackle these challenges, we present new research results regarding visualization of data and information with temporal and spatial attributes.

  14. 自校正对角阵加权信息融合Kalman预报器%Self-tuning Information Fusion Kalman Predictor Weighted by Diagonal Matrices and Its Convergence Analysis

    Institute of Scientific and Technical Information of China (English)

    邓自立; 李春波

    2007-01-01

    For the multisensor systems with unknown noise statistics, using the modern time series analysis method, based on on-line identification of the moving average (MA) innovation models, and based on the solution of the matrix equations for correlation function, estimators of the noise variances are obtained, and under the linear minimum variance optimal information fusion criterion weighted by diagonal matrices, a self-tuning information fusion Kalman predictor is presented, which realizes the self-tuning decoupled fusion Kalman predictors for the state components. Based on the dynamic error system, a new convergence analysis method is presented for self-tuning fuser. A new concept of convergence in a realization is presented, which is weaker than the convergence with probability one. It is strictly proved that if the parameter estimation of the MA innovation models is consistent, then the self-tuning fusion Kalman predictor will converge to the optimal fusion Kalman predictor in a realization, or with probability one, so that it has asymptotic optimality. It can reduce the computational burden, and is suitable for real time applications. A simulation example for a target tracking system shows its effectiveness.

  15. Trophoblast fusion.

    Science.gov (United States)

    Huppertz, Berthold; Gauster, Martin

    2011-01-01

    The villous trophoblast of the human placenta is the epithelial cover of the fetal chorionic villi floating in maternal blood. This epithelial cover is organized in two distinct layers, the multinucleated syncytiotrophoblast directly facing maternal blood and a second layer of mononucleated cytotrophoblasts. During pregnancy single cytotrophoblasts continuously fuse with the overlying syncytiotrophoblast to preserve this end-differentiated layer until delivery. Syncytial fusion continuously supplies the syncytiotrophoblast with compounds of fusing cytotrophoblasts such as proteins, nucleic acids and lipids as well as organelles. At the same time the input of cytotrophoblastic components is counterbalanced by a continuous release of apoptotic material from the syncytiotrophoblast into maternal blood. Fusion is an essential step in maintaining the syncytiotrophoblast. Trophoblast fusion was shown to be dependant on and regulated by multiple factors such as fusion proteins, proteases and cytoskeletal proteins as well as cytokines, hormones and transcription factors. In this chapter we focus on factors that may be involved in the fusion process of trophoblast directly or that may prepare the cytotrophoblast to fuse.

  16. Bayesian Information Criterion Based Feature Filtering for the Fusion of Multiple Features in High-Spatial-Resolution Satellite Scene Classification

    Directory of Open Access Journals (Sweden)

    Da Lin

    2015-01-01

    Full Text Available This paper presents a novel classification method for high-spatial-resolution satellite scene classification introducing Bayesian information criterion (BIC-based feature filtering process to further eliminate opaque and redundant information between multiple features. Firstly, two diverse and complementary feature descriptors are extracted to characterize the satellite scene. Then, sparse canonical correlation analysis (SCCA with penalty function is employed to fuse the extracted feature descriptors and remove the ambiguities and redundancies between them simultaneously. After that, a two-phase Bayesian information criterion (BIC-based feature filtering process is designed to further filter out redundant information. In the first phase, we gradually impose a constraint via an iterative process to set a constraint on the loadings for averting sparse correlation descending below to a lower confidence limit of the approximated canonical correlation. In the second phase, Bayesian information criterion (BIC is utilized to conduct the feature filtering which sets the smallest loading in absolute value to zero in each iteration for all features. Lastly, a support vector machine with pyramid match kernel is applied to obtain the final result. Experimental results on high-spatial-resolution satellite scenes demonstrate that the suggested approach achieves satisfactory performance in classification accuracy.

  17. Multi-sensor fusion development

    Science.gov (United States)

    Bish, Sheldon; Rohrer, Matthew; Scheffel, Peter; Bennett, Kelly

    2016-05-01

    The U.S. Army Research Laboratory (ARL) and McQ Inc. are developing a generic sensor fusion architecture that involves several diverse processes working in combination to create a dynamic task-oriented, real-time informational capability. Processes include sensor data collection, persistent and observational data storage, and multimodal and multisensor fusion that includes the flexibility to modify the fusion program rules for each mission. Such a fusion engine lends itself to a diverse set of sensing applications and architectures while using open-source software technologies. In this paper, we describe a fusion engine architecture that combines multimodal and multi-sensor fusion within an Open Standard for Unattended Sensors (OSUS) framework. The modular, plug-and-play architecture of OSUS allows future fusion plugin methodologies to have seamless integration into the fusion architecture at the conceptual and implementation level. Although beyond the scope of this paper, this architecture allows for data and information manipulation and filtering for an array of applications.

  18. 多尺度动态模型单传感器动态系统分布式信息融合%DISTRIBUTED INFORMATION FUSION ALGORITHM FOR SINGLE SENSOR DYNAMIC SYSTEM ON THE BASIS OF MULTISCALE DYNAMIC MODELS

    Institute of Scientific and Technical Information of China (English)

    文成林; 周东华; 潘泉; 张洪才

    2001-01-01

    Using the idea of multiscale analysis and by combining the model-based analysis method for dynamic systems with the multiscale signal transformation method,we put forward a new algorithm of multiscale distributed information fusion estimation.For multi-model dynamic systems having different description for target state at different scales, at the finest scale we can obtain the optimal fusion estimates based on global information,which give a primary solution to the information fusion estimation of multiscale dynamic systems.This work enriches and develops the information fusion theory.%利用多尺度分析的思想,将基于模型的动态系统分析方法与基于统计特性的多尺度信号变换方法相结合,在不同尺度上拥有对目标状态进行不同描述的多模型动态系统,提出多尺度分布式信息融合估计新算法,在最细尺度上获得目标状态基于全局信息的融合估计值,初步解决了多尺度动态模型信息融合问题,这些工作丰富和发展了信息融合理论.

  19. A rare case of diplopodia and syndactyly: anatomical and surgical considerations.

    Science.gov (United States)

    Kadir, Kamarulzaman Haji M S; Abdul Rashid, Abdul Halim; Das, Srijit; Ibrahim, Sharaf

    2011-01-01

    Diplopodia is a rare congenital disorder that has not been extensively discussed in textbooks, and case reports appear to be the main source of information. Although the exact cause of diplopodia remains unknown, the presence of extra digits as well as metatarsals and tarsals allows it to be differentiated from pedal polydactyly. Syndactyly refers to the congenital fusion of the digits. Concomitant bilateral syndactyly and diplopodia is extremely unusual, and in this report we describe a case of right diplopodia and left polydactyly combined with bilateral manual syndactyly in a 15-year-old girl who was ultimately treated with through-the-knee amputation. Radiological examination of the right leg revealed tibial hypoplasia and the right foot displayed 8 digits with corresponding metatarsals and tarsals, whereas the left leg revealed 2 extra digits on the medial aspect of the foot with corresponding metatarsal and tarsal bones. Anatomical dissection of the right foot revealed that it was divided into halves consisting of 8 toes with corresponding metatarsals and tarsals, as well as tibial hypoplasia and absence of the great toe. Diplopodia associated with tibial hypoplasia and syndactyly can be treated surgically, and the present case report details the clinical, radiological, and anatomical elements of this rare deformity.

  20. Fusion Machinery

    DEFF Research Database (Denmark)

    Sørensen, Jakob Balslev; Milosevic, Ira

    2015-01-01

    the vesicular SNARE VAMP2/synaptobrevin-2 and the target (plasma membrane) SNAREs SNAP25 and syntaxin-1 results in fusion and release of neurotransmitter, synchronized to the electrical activity of the cell by calcium influx and binding to synaptotagmin. Formation of the SNARE complex is tightly regulated...... and appears to start with syntaxin-1 bound to an SM (Sec1/Munc18-like) protein. Proteins of the Munc13-family are responsible for opening up syntaxin and allowing sequential binding of SNAP-25 and VAMP2/synaptobrevin-2. N- to C-terminal “zippering” of the SNARE domains leads to membrane fusion...

  1. Classification of brain disease in magnetic resonance images using two-stage local feature fusion

    Science.gov (United States)

    Li, Tao; Li, Wu; Yang, Yehui

    2017-01-01

    Background Many classification methods have been proposed based on magnetic resonance images. Most methods rely on measures such as volume, the cerebral cortical thickness and grey matter density. These measures are susceptible to the performance of registration and limited in representation of anatomical structure. This paper proposes a two-stage local feature fusion method, in which deformable registration is not desired and anatomical information is represented from moderate scale. Methods Keypoints are firstly extracted from scale-space to represent anatomical structure. Then, two kinds of local features are calculated around the keypoints, one for correspondence and the other for representation. Scores are assigned for keypoints to quantify their effect in classification. The sum of scores for all effective keypoints is used to determine which group the test subject belongs to. Results We apply this method to magnetic resonance images of Alzheimer's disease and Parkinson's disease. The advantage of local feature in correspondence and representation contributes to the final classification. With the help of local feature (Scale Invariant Feature Transform, SIFT) in correspondence, the performance becomes better. Local feature (Histogram of Oriented Gradient, HOG) extracted from 16×16 cell block obtains better results compared with 4×4 and 8×8 cell block. Discussion This paper presents a method which combines the effect of SIFT descriptor in correspondence and the representation ability of HOG descriptor in anatomical structure. This method has the potential in distinguishing patients with brain disease from controls. PMID:28207873

  2. Automatic segmentation of human facial tissue by MRI-CT fusion: a feasibility study.

    Science.gov (United States)

    Kale, Emre H; Mumcuoglu, Erkan U; Hamcan, Salih

    2012-12-01

    The aim of this study was to develop automatic image segmentation methods to segment human facial tissue which contains very thin anatomic structures. The segmentation output can be used to construct a more realistic human face model for a variety of purposes like surgery planning, patient specific prosthesis design and facial expression simulation. Segmentation methods developed were based on Bayesian and Level Set frameworks, which were applied on three image types: magnetic resonance imaging (MRI), computerized tomography (CT) and fusion, in which case information from both modalities were utilized maximally for every tissue type. The results on human data indicated that fusion, thickness adaptive and postprocessing options provided the best muscle/fat segmentation scores in both Level Set and Bayesian methods. When the best Level Set and Bayesian methods were compared, scores of the latter were better. Number of algorithm parameters (to be trained) and computer run time measured were also in favour of the Bayesian method.

  3. Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression.

    Science.gov (United States)

    Cherry, Kevin M; Peplinski, Brandon; Kim, Lauren; Wang, Shijun; Lu, Le; Zhang, Weidong; Liu, Jianfei; Wei, Zhuoshi; Summers, Ronald M

    2015-01-01

    Given the potential importance of marginal artery localization in automated registration in computed tomography colonography (CTC), we have devised a semi-automated method of marginal vessel detection employing sequential Monte Carlo tracking (also known as particle filtering tracking) by multiple cue fusion based on intensity, vesselness, organ detection, and minimum spanning tree information for poorly enhanced vessel segments. We then employed a random forest algorithm for intelligent cue fusion and decision making which achieved high sensitivity and robustness. After applying a vessel pruning procedure to the tracking results, we achieved statistically significantly improved precision compared to a baseline Hessian detection method (2.7% versus 75.2%, prandom forest) with a sequential Monte Carlo tracking mechanism. In so doing, we present the effective application of an anatomical probability map to vessel pruning as well as a supplementary spatial coordinate system for colonic segmentation and registration when this task has been confounded by colon lumen collapse.

  4. A multi-modal fusion scheme for the enhancement of PET/MR viewing

    Energy Technology Data Exchange (ETDEWEB)

    Aiello, Marco [IRCCS SDN, Naples (Italy); Monti, Serena [IRCCS SDN, Naples (Italy); Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano (Italy); Inglese, Marianna; Forte, Ernest; Cavaliere, Carlo [IRCCS SDN, Naples (Italy); Catalano, Onofrio Antonio [IRCCS SDN, Naples (Italy); Università degli studi di Napoli, Parthenope (Italy); Nicolai, Emanuele; Salvatore, Marco [IRCCS SDN, Naples (Italy)

    2015-05-18

    PET/MR imaging offers the possibility to achieve in one-shot both functional information provided by PET imaging and morpho-functional information with excellent soft tissue contrast provided by MRI. As a result of a typical PET/MR acquisition, each voxel carries a large amount of multivariate information that can be combined into a single image for a synthetic multi-parametric viewing (image fusion). This work is aimed to explore and introduce a reliable fusion scheme able to blend the useful information carried out from each modality into a single meaningful image. The proposed approach consists of a transformation of the source images followed by a blending and a consecutive reconstruction of fused image into the original domain. Following this scheme, three different transformations of source images (wavelet domain, Fourier domain and identity) and two blending procedures (alpha-blending and gamma-blending) were considered. For a comprehensive assessment of the fusion schemes under investigation, the results were evaluated both qualitatively and quantitatively on a dataset of 60 naturally coregistered. FDG-PET/MR studies of different anatomical districts in presence of neurological as well as oncological findings. The quality of fused images was assessed by experts who visually evaluated the loss of useful information with respect to the original modalities. Quantitatively, the information loss was estimated by means of a boundaries-preservation based metric as well as a metric based on mutual information. Preliminary results show that the fusion scheme composed by a wavelet-domain transform and a gamma-blending better depicts useful information of the original modalities. In particular, the proposed approach allows to better unveil the MR signal underlying PET signal in fused images in oncological as well as neurological studies. Furthermore, the use of a gamma-blending procedure ensures the best performances in a fully automated manner.

  5. Exploring brain function from anatomical connectivity

    Directory of Open Access Journals (Sweden)

    Gorka eZamora-López

    2011-06-01

    Full Text Available The intrinsic relationship between the architecture of the brain and the range of sensory and behavioral phenomena it produces is a relevant question in neuroscience. Here, we review recent knowledge gained on the architecture of the anatomical connectivity by means of complex network analysis. It has been found that corticocortical networks display a few prominent characteristics: (i modular organization, (ii abundant alternative processing paths and (iii the presence of highly connected hubs. Additionally, we present a novel classification of cortical areas of the cat according to the role they play in multisensory connectivity. All these properties represent an ideal anatomical substrate supporting rich dynamical behaviors, as-well-as facilitating the capacity of the brain to process sensory information of different modalities segregated and to integrate them towards a comprehensive perception of the real world. The result here exposed are mainly based in anatomical data of cats’ brain, but we show how further observations suggest that, from worms to humans, the nervous system of all animals might share fundamental principles of organization.

  6. Spectral/spatial data fusion and neural networks for vegetation understory information extraction from hyperspectral airborne images

    Science.gov (United States)

    Binaghi, Elisabetta; Gallo, Ignazio; Boschetti, Mirco; Brivio, Pietro A.

    2004-02-01

    In this paper, we propose a method able to fuse spectral information with spatial contextual information in order to solve "operationally" classification problem. The salient aspect of the method is the integration of heterogeneous data within a Multi-Layer Perceptron model. Spatial and spectral relationships are not explicitly formalized in an attempt to limit design and computational complexity; raw data are instead presented directly as input to the neural network classifier. The method in particular addresses new open problems in processing hyperspectral and high resolution data finding solution for multisource analysis. Experimental results in real domain show this fusing approach is able to produce accurate classification. The method in fact is able to handle the problem of a volumetric mixture typical of natural forest ecosystems identifying the different surfaces present under the tree canopy. The understory map, produced by the neural classification method, was used as input to the inversion of radiative transfer models that show a significant increase in the retrieval of important biophysical vegetation parameter.

  7. A multiple information fusion method for predicting subcellular locations of two different types of bacterial protein simultaneously.

    Science.gov (United States)

    Chen, Jing; Xu, Huimin; He, Ping-An; Dai, Qi; Yao, Yuhua

    2016-01-01

    Subcellular localization prediction of bacterial protein is an important component of bioinformatics, which has great importance for drug design and other applications. For the prediction of protein subcellular localization, as we all know, lots of computational tools have been developed in the recent decades. In this study, we firstly introduce three kinds of protein sequences encoding schemes: physicochemical-based, evolutionary-based, and GO-based. The original and consensus sequences were combined with physicochemical properties. And elements information of different rows and columns in position-specific scoring matrix were taken into consideration simultaneously for more core and essence information. Computational methods based on gene ontology (GO) have been demonstrated to be superior to methods based on other features. Then principal component analysis (PCA) is applied for feature selection and reduced vectors are input to a support vector machine (SVM) to predict protein subcellular localization. The proposed method can achieve a prediction accuracy of 98.28% and 97.87% on a stringent Gram-positive (Gpos) and Gram-negative (Gneg) dataset with Jackknife test, respectively. At last, we calculate "absolute true overall accuracy (ATOA)", which is stricter than overall accuracy. The ATOA obtained from the proposed method is also up to 97.32% and 93.06% for Gpos and Gneg. From both the rationality of testing procedure and the success rates of test results, the current method can improve the prediction quality of protein subcellular localization.

  8. Fusion Policy Advisory Committee (FPAC)

    Energy Technology Data Exchange (ETDEWEB)

    1990-09-01

    This document is the final report of the Fusion Policy Advisory Committee. The report conveys the Committee's views on the matters specified by the Secretary in his charge and subsequent letters to the Committee, and also satisfies the provisions of Section 7 of the Magnetic Fusion Energy Engineering Act of 1980, Public Law 96-386, which require a triennial review of the conduct of the national Magnetic Fusion Energy program. Three sub-Committee's were established to address the large number of topics associated with fusion research and development. One considered magnetic fusion energy, a second considered inertial fusion energy, and the third considered issues common to both. For many reasons, the promise of nuclear fusion as a safe, environmentally benign, and affordable source of energy is bright. At the present state of knowledge, however, it is uncertain that this promise will become reality. Only a vigorous, well planned and well executed program of research and development will yield the needed information. The Committee recommends that the US commit to a plan that will resolve this critically important issue. It also outlines the first steps in a development process that will lead to a fusion Demonstration Power Plant by 2025. The recommended program is aggressive, but we believe the goal is reasonable and attainable. International collaboration at a significant level is an important element in the plan.

  9. Membrane fusion during poxvirus entry.

    Science.gov (United States)

    Moss, Bernard

    2016-12-01

    Poxviruses comprise a large family of enveloped DNA viruses that infect vertebrates and invertebrates. Poxviruses, unlike most DNA viruses, replicate in the cytoplasm and encode enzymes and other proteins that enable entry, gene expression, genome replication, virion assembly and resistance to host defenses. Entry of vaccinia virus, the prototype member of the family, can occur at the plasma membrane or following endocytosis. Whereas many viruses encode one or two proteins for attachment and membrane fusion, vaccinia virus encodes four proteins for attachment and eleven more for membrane fusion and core entry. The entry-fusion proteins are conserved in all poxviruses and form a complex, known as the Entry Fusion Complex (EFC), which is embedded in the membrane of the mature virion. An additional membrane that encloses the mature virion and is discarded prior to entry is present on an extracellular form of the virus. The EFC is held together by multiple interactions that depend on nine of the eleven proteins. The entry process can be divided into attachment, hemifusion and core entry. All eleven EFC proteins are required for core entry and at least eight for hemifusion. To mediate fusion the virus particle is activated by low pH, which removes one or more fusion repressors that interact with EFC components. Additional EFC-interacting fusion repressors insert into cell membranes and prevent secondary infection. The absence of detailed structural information, except for two attachment proteins and one EFC protein, is delaying efforts to determine the fusion mechanism.

  10. 从信息采集和情报收集视角看两个IS的融合%Fusion of Information Science and Intelligence Studies:from an Information Collection and Intelligence Gathering Perspective

    Institute of Scientific and Technical Information of China (English)

    周换换

    2015-01-01

    我国情报学与西方情报学存在很大的差别,关于两个IS( information science,intelligence studies)的争论由来已久,两个IS的融合符合信息时代发展的需求。从信息采集和情报收集视角看两个IS的融合问题,在理论方面,两者存在许多共同部分,在实践方面,收集方法可以相互引用,由此构建融合后的收集方法体系,由情报源、收集工具、技术、手段和方法构成。%There is a big difference between China's information science and western intelligence studies, debate between two theories al-ways exists, and fusion of them meets the development need of the information age. This paper firstly discussed them from information collection and intelligence gathering perspective:in theory, they shared many common parts;in practice, they can learn from each other' s collection methods. Then, an integrated collection system was established, consisting of intelligence sources, collection tools, technolo-gies, means and methods.

  11. Geographic information system for fusion and analysis of high-resolution remote sensing and ground truth data

    Science.gov (United States)

    Freeman, Anthony; Way, Jo Bea; Dubois, Pascale; Leberl, Franz

    1992-01-01

    We seek to combine high-resolution remotely sensed data with models and ground truth measurements, in the context of a Geographical Information System, integrated with specialized image processing software. We will use this integrated system to analyze the data from two Case Studies, one at a bore Al forest site, the other a tropical forest site. We will assess the information content of the different components of the data, determine the optimum data combinations to study biogeophysical changes in the forest, assess the best way to visualize the results, and validate the models for the forest response to different radar wavelengths/polarizations. During the 1990's, unprecedented amounts of high-resolution images from space of the Earth's surface will become available to the applications scientist from the LANDSAT/TM series, European and Japanese ERS-1 satellites, RADARSAT and SIR-C missions. When the Earth Observation Systems (EOS) program is operational, the amount of data available for a particular site can only increase. The interdisciplinary scientist, seeking to use data from various sensors to study his site of interest, may be faced with massive difficulties in manipulating such large data sets, assessing their information content, determining the optimum combinations of data to study a particular parameter, visualizing his results and validating his model of the surface. The techniques to deal with these problems are also needed to support the analysis of data from NASA's current program of Multi-sensor Airborne Campaigns, which will also generate large volumes of data. In the Case Studies outlined in this proposal, we will have somewhat unique data sets. For the Bonanza Creek Experimental Forest (Case I) calibrated DC-8 SAR data and extensive ground truth measurement are already at our disposal. The data set shows documented evidence to temporal change. The Belize Forest Experiment (Case II) will produce calibrated DC-8 SAR and AVIRIS data, together with

  12. Magnetic fusion; La fusion magnetique

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2002-07-01

    This document is a detailed lecture on thermonuclear fusion. The basic physics principles are recalled and the technological choices that have led to tokamaks or stellarators are exposed. Different aspects concerning thermonuclear reactors such as safety, economy and feasibility are discussed. Tore-supra is described in details as well as the ITER project.

  13. A novel fuzzy sensor fusion algorithm

    Institute of Scientific and Technical Information of China (English)

    FU Hua; YANG Yi-kui; MA Ke; LIU Yu-jia

    2011-01-01

    A novel fusion algorithm was given based on fuzzy similarity and fuzzy integral theory.First,it calculated the fuzzy similarity among a certain sensor's measurement values and the multiple sensors' objective prediction values to determine the importance weight of each sensor and realize multi-sensor data fusion.Then according to the determined importance weight,an intelligent fusion system based on fuzzy integral theory was given,which can solve FEI-DEO and DEI-DEO fusion problems and realize the decision fusion.Simulation results were proved that fuzzy integral algorithm has enhanced the capability of handling the uncertain information and improved the intelligence degrees.

  14. Controlled fusion and plasma physics

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-12-31

    This document presents the several speeches that took place during the 22nd European Physical Society conference on Controlled Fusion and Plasma Physics in Bournemouth, UK, between the 2nd and 7th July 1995. The talks deal with new experiments carried out on several tokamaks, particularly Tore Supra, concerning plasma confinement and fusion. Some information on specific fusion devices or tokamak devices is provided, as well as results of experiments concerning plasma instability. Separate abstracts were prepared for all the 31 papers in this volume. (TEC).

  15. Advanced fusion concepts: project summaries

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-12-01

    This report contains descriptions of the activities of all the projects supported by the Advanced Fusion Concepts Branch of the Office of Fusion Energy, US Department of Energy. These descriptions are project summaries of each of the individual projects, and contain the following: title, principle investigators, funding levels, purpose, approach, progress, plans, milestones, graduate students, graduates, other professional staff, and recent publications. Information is given for each of the following programs: (1) reverse-field pinch, (2) compact toroid, (3) alternate fuel/multipoles, (4) stellarator/torsatron, (5) linear magnetic fusion, (6) liners, and (7) Tormac. (MOW)

  16. Tame Fusion

    Institute of Scientific and Technical Information of China (English)

    S.D. Scott

    2003-01-01

    The first section of this paper covers preliminaries. Essentially, the next four cover units. It is shown that a compatible nearring with DCCR is Nnilpotent if and only if every maximal right N-subgroup is a right ideal. The last five sections relate to fusion (I.e., N-groups minimal for being generated by Nsubgroups, where each is N-isomorphic to a given N-group). Right N-subgroups of a tame nearring N with DCCR, minimal for not annihilating a minimal ideal from the left, are self monogenic and N-isomorphic. That this holds for any collection of minimal ideals is significant. Here, the right N-subgroup involved is a 'fusion product' of the 'components'.

  17. Review of 19th International Conference on Information Fusion and its Awarded P apers%第19届国际信息融合会议及获奖论文评述

    Institute of Scientific and Technical Information of China (English)

    何佳洲; 马继伟; 王昱槐; 安瑾

    2016-01-01

    This paper summarizes the plenary talks and the regular reports given in Fusion2016( the 19th International Con⁃ference on Information Fusion) . Through the statistical analysis of the papers presented by the several famous fusion teams, some focus areas and issues are put up and investigated. Then, we review the Best Student Award papers together with their Runners⁃up, which recognize excellences among researchers and scientists in information fusion in the last year, and general⁃ly accepted by the conference award committee. Finally, we consider the uncertainty of the high level information fusion, and we also discuss some developments and trends of several prosperous areas.%总结了第19届国际信息融合会议的总体情况和主要特点,通过对大会报告、分会场报告以及国际信息融合界一些著名专家团队发表论文情况的统计分析,提炼出国际信息融合界普遍关注的焦点和难点问题;通过对获奖论文的分析,了解到受大会评奖委员会一致认可的年度优秀成果和技术进步点;最后,面向高层信息融合中的不确定性处理,对信息融合领域的发展进行展望。

  18. Carpal Fusion

    OpenAIRE

    2012-01-01

    Carpal fusion may be seen in hereditary and nonhereditary conditions such as acrocallosal syndrome,acromegaly, Apert syndrome, arthrogryposis, Carpenter syndrome, chromosomal abnormalities, ectrodactyly-ectodermal dysplasia-cleft (EEC) syndrome, the F form of acropectorovertebral dysgenesis or the F syndrome, fetal alcohol syndrome, Holt-Oram syndrome, Leopard syndrome, multiple synostosis syndrome, oligosyndactyly syndrome, Pfeiffer-like syndrome, scleroderma, split hand and foot malformatio...

  19. Fusion rules of equivariantizations of fusion categories

    OpenAIRE

    2012-01-01

    We determine the fusion rules of the equivariantization of a fusion category $\\mathcal{C}$ under the action of a finite group $G$ in terms of the fusion rules of $\\mathcal{C}$ and group-theoretical data associated to the group action. As an application we obtain a formula for the fusion rules in an equivariantization of a pointed fusion category in terms of group-theoretical data. This entails a description of the fusion rules in any braided group-theoretical fusion category.

  20. 基于核融合的多信息流形学习算法%Multi-information manifold learning algorithm based on kernel fusion

    Institute of Scientific and Technical Information of China (English)

    刘元; 吴小俊

    2016-01-01

    流形学习算法可分为全局流形学习与局部流形学习,它们分别保持了流形上的全局特征信息与局部特征信息,但是实验证明仅基于全局特征或局部特征信息的流形学习算法不能很好地保持真实的流形结构,影响了学习效果。基于流形学习的核的视角,融合了全局流形学习算法 ISOMAP 与局部流形学习算法 LTSA 的核矩阵,提出了可以同时保持流形结构的全局特征信息与局部特征信息的流形学习算法。在人工数据集和人脸图像集上的仿真实验验证了该算法的有效性。%Manifold learning algorithms can be divided into global manifold learning and local manifold learning,and they keep global features and local features of manifolds respectively.However,experiments show that manifold learning algorithm based only on global or local feature information can not maintain the real structure of manifold well which affects the results of manifold learning.Therefore,in the view of kernel,this paper proposed a multi-information manifold learning algorithm based on the kernel fusion of the ISOMAP and LTSA.The proposed algorithm can maintain the global and local features of manifolds synchronously,and the experimental results on several synthetic data and standard face databases indicate the effectiveness of the algorithm.

  1. "Anatomizing" Reversed: Use of Examination Questions that Foster Use of Higher Order Learning Skills by Students

    Science.gov (United States)

    Burns, E. Robert

    2010-01-01

    "Anatomizing" is a new verb some use to describe the breaking apart of a complex entity such as the human body, into isolated tidbits of information for study, which can never equal the complex, integrated whole. Although popular with first-year medical students, this practice of "tidbitting" anatomical information into easy to memorize facts or…

  2. Characterization of neurovascular compression in facial neuralgia patients by 3D high-resolution MRI and image fusion technique

    Institute of Scientific and Technical Information of China (English)

    Jing Chen; Xiang-Jun Han; Zi-Yi Guo; Guang Yang; Xiong Wang; Qing-Yu Tang; Yue-Qiong Cheng; Yi Guo; Shui-Xi Fu; Cai-Xiang Chen

    2012-01-01

    Objective:To describe the anatomical characteristics and patterns of neurovascular compression (NVC) in patients suffering trigeminal neuralgia (TN) by3D high-resolution magnetic resonance imaging (MRI) method and image fusion technique.Methods:The anatomic structure of trigeminal nerve, brain stem and blood vessel was observed in100 consecutiveTN patients by 3Dhigh resolutionMRI (3D SPGR, contrast-enhancedT1 3D MP-RAGE andT2/T1 3D FIESTA). The3D image sources were fused and visualized using3D DOCTOR software.Results:One or severalNVC sites, which usually appeared0-9.8 mm away from brain stem, were found on the symptomatic side in93% of theTN cases. Superior cerebellar artery was involved in76% (71/93) of these cases. The other vessels including antero-inferior cerebellar artery, vertebral artery, basilar artery and veins also contributed to the occurrence ofNVC. TheNVC sites were found to be located in the proximal segment in42%of these cases(39/93) and in the distal segment in45% (42/93). Nerve dislocation or distortion was observed in32% (30/93).Conclusions:Various3D high resolutionMRImethods combined with the image fusion technique could provide pathologic anatomic information for the diagnosis and treatment ofTN.

  3. The Fate of Anatomical Collections

    NARCIS (Netherlands)

    Knoeff, Rina; Zwijnenberg, Robert

    2015-01-01

    Almost every medical faculty possesses anatomical and/or pathological collections: human and animal preparations, wax- and other models, as well as drawings, photographs, documents and archives relating to them. In many institutions these collections are well-preserved, but in others they are poorly

  4. FUSION WORLD

    Institute of Scientific and Technical Information of China (English)

    Caroline; 黄颖(翻译)

    2009-01-01

    Fusion World”科技展示体验中心是英国设计公司MET Studio为新加坡科技研究局(A*Star)的科学工程委员会(SERC)所设计的,位于启汇城的办公地点,用于展示该委员会的精选技术作品,以吸引潜在的客户和启汇城内的学生购买群体。

  5. Multi-sensor Information Fusion Weighted Average Algorithm Based on Decision-making Distance%基于决策距离的多传感器信息融合加权平均算法

    Institute of Scientific and Technical Information of China (English)

    彭会萍; 曹晓军; 杨永旭

    2012-01-01

    This paper introduced some important concepts,such as the evidence-distance,the evidence support degree,the evidence credibility and the decision-making distance measurement.By given some rationalize processing to the trust function data of evidence,and achieved the result of the multi-sensor information fusion using the D-S evidence combination rules,then,this paper proposed a weighted average algorithm of multi-sensor information fusion based on decision-distance.Numerical example shows that the method can effectively solve the D-S conflict,and can ensure the accuracy of the information fusion.%本文引入证据间距离、证据间支持度和可信度、决策距离测量等重要概念,对证据的信任函数数据进行合理化处理,并借助D-S证据合成规则实现多传感器的信息融合,从而提出基于决策距离的多传感器信息融合加权平均算法。算例分析表明,该方法能够有效解决D-S冲突问题,确保信息融合结果的准确度。

  6. Dynamic Information Collection and Fusion

    Science.gov (United States)

    2015-12-02

    large sets of items such as products from Amazon, movies from Netflix , or restaurants from Yelp, from a large and diverse population of users through...sensor management We considered two different economic models, market equilibrium [68] and mechanism design for sensor management [69–71]. We proposed...a framework for the mobile sensor scheduling problem in target localization by designing an equilibrium-based two-sided market model. For the myopic

  7. Conceptual exploration package for data fusion

    Science.gov (United States)

    Jousselme, Anne-Laure; Grenier, Dominic; Bosse, Eloi

    2000-04-01

    In this paper, we present a software package designed to explore data fusion area applied to different contexts. This tool, called CEPfuse (Conceptual Exploration Package for Data Fusion) provides a good support to become familiar with all concepts and vocabulary linked to data fusion. Developed with Matlab 5.2, it's also a good tool to test, compare and analyze algorithms. Although the core of this package is evidential reasoning and identity information fusion, it has been conceived to develop all the interesting part of the Multi-Sensor Data Fusion system. Actually, because we concentrate our research work on identity information fusion, the principal included algorithms are Dempster- Shafer rules of combination, Shafer-Logan algorithms for hierarchical structures, and several decision rules.

  8. A MEDICAL MULTI-MODALITY IMAGE FUSION OF CT/PET WITH PCA, DWT METHODS

    Directory of Open Access Journals (Sweden)

    S. Guruprasad

    2013-11-01

    Full Text Available This paper gives a view on the fusion of different modality images like PET and CT (Positron Emission Tomography & Computed Tomography by two domain methods PCA and DWT methods. The spatial domain is PCA method, and another transformation domain method (DWT. In dwt decomposed coefficients of DWT (discrete wavelet transformation are applied with the IDWT to get fused image information. Before that, choose a detailed part of decomposed coefficients by maximum selection and averaging the approximated part of DWT coefficients. In applying the PCA using eigen values and eigen vector of larger values as principal components and after to reconstruct using addition to these to get the fussed image of two modalities CT & PET. So that adds complimentary features of both anatomic, physiological and metabolic information in one image, provides better visual information in single image of patients in medical field. The analytic parameters like, MSE, PSNR, ENTROPY results are better enough to prove the methods each other.

  9. Carpal Fusion

    Directory of Open Access Journals (Sweden)

    Jalal Jalalshokouhi*

    2012-05-01

    Full Text Available Carpal fusion may be seen in hereditary and nonhereditary conditions such as acrocallosal syndrome,acromegaly, Apert syndrome, arthrogryposis, Carpenter syndrome, chromosomal abnormalities, ectrodactyly-ectodermal dysplasia-cleft (EEC syndrome, the F form of acropectorovertebral dysgenesis or the F syndrome, fetal alcohol syndrome, Holt-Oram syndrome, Leopard syndrome, multiple synostosis syndrome, oligosyndactyly syndrome, Pfeiffer-like syndrome, scleroderma, split hand and foot malformation, Stickler syndrome, thalidomide embryopathy, Turner syndrome and many other conditions as mentioned in Rubinstein-Taybi's book. Sometimes there is no known causative disease.Diagnosis is usually made by plain X-ray during studying a syndrome or congenital disease or could be an incidental finding like our patients. Hand bone anomalies are more common in syndromes or other congenital or non-hereditary conditions, but polydactyly, syndactyly or oligodactyly and carpal fusions are interesting. X-ray is the modality of choice, but MRI and X-ray CT with multiplanar reconstructions may be used for diagnosis.

  10. 多 Agent水质监控系统中的信息融合算法%An novel information fusion algorithm of multi-Agent water quality monitoring system

    Institute of Scientific and Technical Information of China (English)

    沈晓晶; 陈明; 池涛

    2014-01-01

    在凡纳滨对虾集约化淡水养殖中,温度、pH值、非离子氨质量浓度是3项重要的水质因子,三者之间存在着非线性耦合关系。基于这一耦合关系,提出水质信息融合Agent结构和二级信息融合算法。在融合算法的第一级,采用正向推理机制,基于规则库推断水质因子是否超标。在融合算法的第二级,根据水质因子的耦合关系模型,采用数据库搜索和固定步长搜索策略寻找合适的温度和pH值,通过在线调节温度和pH值的方法,同时将温度、pH值、非离子氨质量浓度调整至合理范围,以满足养殖要求。试验结果表明,信息融合算法能够有效地调节养殖水质,减少换水次数。%In the intensive freshwater aquaculture of Litopenaeus Vannamei, temperature, pH value, and non-ionic am-monium mass concentration are the three important factors to evaluate water quality.Based on the existing nonlinear coupling relationship among the three factors, the inner structure of water information fusion agent and a novel two-lay-er-information-fusion-algorithm were proposed.In the first layer of the fusion algorithm, a forward reasoning machine could infer whether or not the water quality factors are out of the standard range based on a rule base.In the sencond layer of the fusion algorithm, database searching and fixed step strategies were adopted to find the proper values of tem-perature and pH value based on the coupling relationship model of water quality factors.Then, the fusion algorithm ad-justed the values of temperature, pH value, and non-ionic ammonium mass concentration to meet the aquaculture re-quirements.Experimental results showed that the proposed information fusion algorithm could adjust the aquaculture wa-ter quality effectively, and reduce the frequency of water exchange.

  11. Anatomical structure of Polystichum Roth ferns rachises

    Directory of Open Access Journals (Sweden)

    Oksana V. Tyshchenko

    2012-03-01

    Full Text Available The morpho-anatomical characteristics of rachis cross sections of five Polystichum species is presented. The main and auxiliary anatomical features which help to distinguish investigated species are revealed.

  12. 集值信息系统上的多粒度优势关系与信息融合%Multi-granulation Dominance Relation and Information Fusion Based on Set-Valued Information System

    Institute of Scientific and Technical Information of China (English)

    庄颖; 刘文奇; 范敏; 李金海

    2015-01-01

    在近年发展起来的各种多粒度粗糙集模型基础上,针对实际应用中广泛存在的集值信息系统上的优势关系,提出多粒度优势关系粗糙集模型。通过数据处理的例子,并对比已有的多粒度粗糙集模型,说明多粒度优势关系粗糙集的下近似更精确。最后,将多粒度优势关系粗糙集模型作为一种信息融合技术应用于目标威胁估计,证明其适应更复杂的多源信息环境。%In recent years, many kinds of multi﹣granulation rough set model have developed. Aimed at the dominance relation of set﹣valued information system which widely exists in practise, the multi﹣granulation dominance relation rough set model is proposed in this paper. Through the example of data processing, and by the comparison with the existing multi﹣granulation rough set model, the lower approximation of the multi﹣granulation dominance relation rough set is more accurate. Finally, the proposed model as a kind of information fusion technology is applied in the problem of target threat assessment. Experimental results show that the proposed model adapts more complex multi﹣source information environment.

  13. Anatomic study of infrapopliteal vessels.

    Science.gov (United States)

    Lappas, D; Stavropoulos, N A; Noussios, G; Sakellariou, V; Skandalakis, P

    2012-08-01

    The purpose of this project is to study and analyse the anatomical variations of the infrapopliteal vessels concerning their branching pattern. A reliable sample of one hundred formalin-fixed adult cadavers was dissected by the Anatomical Laboratory of Athens University. The variations can be classified in the following way: the normal branching of the popliteal artery was present in 90%. The remainder revealed variant branching patterns: hypoplastic or aplastic posterior tibial artery and the pedis arteries arising from the peroneal (3%); hypoplastic or aplastic anterior tibial artery (1.5%); and the dorsalis pedis formed by two equal branches, arising from the peroneal and the anterior tibial artery (2%). The variations were more frequent in females and in short-height individuals. Knowledge of these variations is rather important for any invasive technic concerning lower extremities.

  14. Catalysed fusion

    CERN Document Server

    Farley, Francis

    2012-01-01

    A sizzling romance and a romp with subatomic particles at CERN. Love, discovery and adventure in the city where nations meet and beams collide. Life in a large laboratory. As always, the challenges are the same. Who leads? Who follows? Who succeeds? Who gets the credit? Who gets the women or the men? Young Jeremy arrives in CERN and joins the quest for green energy. Coping with baffling jargon and manifold dangers, he is distracted by radioactive rats, lovely ladies and an unscrupulous rival. Full of doubts and hesitations, he falls for a dazzling Danish girl, who leads him astray. His brilliant idea leads to a discovery and a new route to cold fusion. But his personal life is scrambled. Does it bring fame or failure? Tragedy or triumph?

  15. Anatomical Shape and Motion Reconstruction from Sparse Image Data

    NARCIS (Netherlands)

    N. Baka (Nora)

    2012-01-01

    textabstractIn current clinical practice, medical imaging plays a key role in diagnosis, therapy planning and therapy monitoring. Some of these modalities, such as CT, MRI, and 3D ultrasound, provide high resolution volumetric anatomical information, and more recently, 3D imaging in time. In certain

  16. Optimizing conditions for computer-assisted anatomical learning

    NARCIS (Netherlands)

    Luursema, Jan-Maarten; Verwey, Willem B.; Kommers, Piet A.M.; Geelkerken, Robert H.; Vos, Hans J.

    2006-01-01

    An experiment evaluated the impact of two typical features of virtual learning environments on anatomical learning for users of differing visuo-spatial ability. The two features studied are computer-implemented stereopsis (the spatial information that is based on differences in visual patterns proje

  17. TOPICAL REVIEW: Anatomical imaging for radiotherapy

    Science.gov (United States)

    Evans, Philip M.

    2008-06-01

    The goal of radiation therapy is to achieve maximal therapeutic benefit expressed in terms of a high probability of local control of disease with minimal side effects. Physically this often equates to the delivery of a high dose of radiation to the tumour or target region whilst maintaining an acceptably low dose to other tissues, particularly those adjacent to the target. Techniques such as intensity modulated radiotherapy (IMRT), stereotactic radiosurgery and computer planned brachytherapy provide the means to calculate the radiation dose delivery to achieve the desired dose distribution. Imaging is an essential tool in all state of the art planning and delivery techniques: (i) to enable planning of the desired treatment, (ii) to verify the treatment is delivered as planned and (iii) to follow-up treatment outcome to monitor that the treatment has had the desired effect. Clinical imaging techniques can be loosely classified into anatomic methods which measure the basic physical characteristics of tissue such as their density and biological imaging techniques which measure functional characteristics such as metabolism. In this review we consider anatomical imaging techniques. Biological imaging is considered in another article. Anatomical imaging is generally used for goals (i) and (ii) above. Computed tomography (CT) has been the mainstay of anatomical treatment planning for many years, enabling some delineation of soft tissue as well as radiation attenuation estimation for dose prediction. Magnetic resonance imaging is fast becoming widespread alongside CT, enabling superior soft-tissue visualization. Traditionally scanning for treatment planning has relied on the use of a single snapshot scan. Recent years have seen the development of techniques such as 4D CT and adaptive radiotherapy (ART). In 4D CT raw data are encoded with phase information and reconstructed to yield a set of scans detailing motion through the breathing, or cardiac, cycle. In ART a set of

  18. Nuclear Fusion with Polarized Nucleons & PolFusion

    CERN Document Server

    Engels, Ralf; Büscher, Markus; Vasilyev, Alexander

    2016-01-01

    This book offers a detailed examination of the latest work on the potential of polarized fuel to realize the vision of energy production by nuclear fusion. It brings together contributions from nuclear physicists and fusion physicists with the aims of fostering exchange of information between the two communities, describing the current status in the field, and examining new ideas and projects under development. It is evident that polarized fuel can offer huge improvements for the first generation of fusion reactors and open new technological possibilities for future generations, including neutron lean reactors, which could be the most popular and sustainable energy production option to avoid environmental problems. Nevertheless, many questions must be resolved before polarized fuel can be used for energy production in the different reactor types. Readers will find this book to be a stimulating source of information on the key issues. It is based on contributions from leading scientists delivered at the meetin...

  19. Anatomic Optical Coherence Tomography of Upper Airways

    Science.gov (United States)

    Chin Loy, Anthony; Jing, Joseph; Zhang, Jun; Wang, Yong; Elghobashi, Said; Chen, Zhongping; Wong, Brian J. F.

    The upper airway is a complex and intricate system responsible for respiration, phonation, and deglutition. Obstruction of the upper airways afflicts an estimated 12-18 million Americans. Pharyngeal size and shape are important factors in the pathogenesis of airway obstructions. In addition, nocturnal loss in pharyngeal muscular tone combined with high pharyngeal resistance can lead to collapse of the airway and periodic partial or complete upper airway obstruction. Anatomical optical coherence tomography (OCT) has the potential to provide high-speed three-dimensional tomographic images of the airway lumen without the use of ionizing radiation. In this chapter we describe the methods behind endoscopic OCT imaging and processing to generate full three dimensional anatomical models of the human airway which can be used in conjunction with numerical simulation methods to assess areas of airway obstruction. Combining this structural information with flow dynamic simulations, we can better estimate the site and causes of airway obstruction and better select and design surgery for patients with obstructive sleep apnea.

  20. Pterion: An anatomical variation and surgical landmark

    Directory of Open Access Journals (Sweden)

    Prashant E Natekar

    2011-01-01

    Full Text Available Introduction : The frontal and the parietal bones superiorly and the greater wing of the sphenoid and the squamous temporal inferiorly of one side meet at an H-shaped sutural junction termed the pterion. This is an important anatomical and anthropological landmark as it overlies both the anterior branch of middle meningeal artery and the lateral fissure of the cerebral hemisphere. The knowledge of sutural joints between frontal, parietal, sphenoid and temporal bones at pterion is clinically, radiologically and surgically important during surgical interventions involving burr hole surgeries. Materials and Methods : Study performed on 150 dry temporal bones. The pterion, and its sutural articulations with frontal, parietal, sphenoid and temporal bones and also anatomical variations, if any, were studied. Results : Four types of pterion, i.e. sphenoparietal, frontotemporal, stellate and epipteric, were observed. Conclusions : The knowledge of the variations of pterion and its surgical anatomy, in Indian population are important for surgeons operating in the fieldThe present study will also contribute additional information of skull bone fractures in infancy and early childhood, which may be associated with large intersutural bones giving false appearance of fracture radiologically and also during surgical interventions involving burr hole surgeries, as their extensions may lead to continuation of fracture lines.

  1. Development and Analysis of Knowledge Fusion in Information and Library Science of China%国内图书情报领域知识融合研究的发展与分析

    Institute of Scientific and Technical Information of China (English)

    张心源; 邱均平

    2016-01-01

    采用文献分析法,对比分析知识融合在图书情报、教育学和计算机科学等学科领域研究特点的异同,辨析知识融合在图书情报领域的相关亲缘概念,总结其发展历程。研究认为,知识融合在图书情报领域的研究特点包括:丰富的知识源作为研究背景,与大数据研究联系紧密,知识融合应用研究为主,以提供知识服务为主要融合导向。图书情报领域关于知识融合的研究趋势是通过知识融合实现分布式知识库中多源、异构的知识资源的深层加工,提供更精准化、智慧型以及预测型的知识服务。%This paper compares and analyzes the characteristics and difference of knowledge fusion in information and library science, pedagogy, computer science and other related subjects according to documental analysis method, careful y defines similar concepts in information and library science, and summarizes the development process of knowledge fusion research. It shows that there exist some features about knowledge fusion in information and library science, that is, rich knowledge origins, close links with big data, applicability and aiming to provide knowledge services. The research trend of knowledge fusion in information and library science is to provide more accurate as wel as intel igent knowledge services by the deep processing of multisource and heterogeneous knowledge in distributed knowledge base throughout knowledge fusion.

  2. Simulación y códigos informáticos: una nueva anatomía para las prácticas biopolíticas

    Directory of Open Access Journals (Sweden)

    Francisco Tirado

    2008-04-01

    Full Text Available La implementación masiva de las nuevas tecnologías de la información ha transformado los dispositivos de vigilancia y control. Este texto analiza las anatomías de poder que se despliegan en los entornos virtuales. Nuestra tesis sostiene que nos hemos desplazado de un “gobierno del alma” hacia un “gobierno de la libertad”. Éste se basa en un ejercicio de codificación numérica que traduce la realidad a simples comandos de ceros y unos.

  3. Design of Virtual Data Separation Dynamic Cloud Storage Based on Information Fusion%基于信息融合的虚拟数据分离动态云存储设计

    Institute of Scientific and Technical Information of China (English)

    倪时龙; 彭巍; 林振天; 许双成

    2015-01-01

    提出一种基于信息融合的虚拟数据分离动态云存储设计方法.构建了虚拟数据的分离动态云存储调度模型,进行信息特征提取,对提取的云存储信息特征进行信息融合处理,实现虚拟数据分离动态云存储改进设计.仿真结果表明,采用该算法进行云存储设计,能较为准确地反映虚拟数据的细节信息特征,提高数据融合精度,为实现动态分离存储提供优化索引通道,进而提高云存储中数据调度性能.%A new dynamic cloud storage design method based on information fusion for virtual data separation is proposed. To construct the virtual data separation dynamic cloud storage scheduling model and feature information extraction, to ex-tract cloud storage characteristics of information of information fusion and processing, realize the virtual data separation dy-namic cloud storage to improve the design. The simulation results show that the sampling of the algorithm of cloud storage design, more accurately response the details of the virtual data information features, improving the accuracy of data fusion, and provides the optimization index channel to realize the dynamic separation and storage, and to improve the cloud storage data scheduling performance.

  4. Conformal mapping via metric optimization with application for cortical label fusion.

    Science.gov (United States)

    Shi, Yonggang; Lai, Rongjie; Toga, Arthur W

    2013-01-01

    In this paper we develop a novel approach for computing conformal maps between anatomical surfaces with the ability of aligning anatomical features and achieving greatly reduced metric distortion. In contrast to conventional approaches that focused on conformal maps to the sphere or plane, our method computes the conformal map between surfaces in the embedding space formed the intrinsically defined Laplace-Beltrami (LB) eigenfunctions. Utilizing the power of LB eigenfunctions as informative descriptors of global geometry, the conformal maps computed by our method can effectively align anatomical features on cortical surfaces. By computing such feature-aware conformal maps to a group-wisely optimal atlas surface, which is also computed with metric optimization in the LB embedding space, we develop a fully automated system for cortical labeling with the fusion of labels on a large number of atlas surfaces. In our experiments, we build our system with 40 labeled surfaces and demonstrate its excellent performance with leave-one-out cross validation. We also applied the automated labeling system to cortical surfaces reconstructed from MR scans of 50 patients with Alzheimer's disease (AD) and 50 normal controls (NC) to illustrate its robustness and effectiveness in clinical data analysis.

  5. High-accuracy topographical information extraction based on fusion of ASTER stereo-data and ICESat/GLAS data in Antarctica

    Institute of Scientific and Technical Information of China (English)

    Wang DongChen; SHEN Qiang; XU Ying; CHEN Gang

    2009-01-01

    In order to better support Antarctic Inland ice sheet expedition from Zhongshan Station to Dome A, the topographic data are necessary. At present, although the entire Antarctic DEM provided by RAMP (Ra-daraat Antarctic Mapping Project) was estimated at the highest horizontal (spatial) resolution of about 200 m, the real horizontal resolution of the DEM varies from place to place depending on the density and scale of the original source data. For ice shelves and the inland ice sheet, the horizontal resolution is about 5 km; the vertical accuracy is estimated to be ±50 m in interior East Antarctic ice sheet and away from the mountain ranges. Therefore, more accurate topographic data are unavailable in Antarc-tica. In order to meet the requirements of high-accuracy topographic information for further researches, this paper mainly addresses a fusion study of ASTER stereo pairs and ICESat/GLAS altimetry data for extraction of high-accuracy DEM in East Antarctica, based on the high horizontal resolution (15 m) of ASTER and vertical accuracy (13.8 cm) of ICESat/GLAS. First, some altimetry data were selected as vertical control points to reduce errors of image correlation matching during the extraction of ASTER-based DEM. Second, ice sheet altimetry data derived from ICESat were used to generate DEM ranging from 75° to 81°S because existing ASTER data do not cover this area and high density of the coverage of ICESat altimetry data. Finally, the DEM in coverage of the expedition route was produced. The analysis of result reveals that the DEM accuracy is improved significantly. The absolute vertical accuracy of DEM is higher than 15 m in some cases and higher than 30 m for all the areas along the expedition route except from the 009-001 scene; the interior accuracy is higher than 15 m and higher than 7 m in some cases. It can meet the requirements of topographic map at 1 : 50000 scale, which is an economic and advantageous method to produce the topographic products.

  6. Dissimilarity-based classification of anatomical tree structures

    DEFF Research Database (Denmark)

    Sørensen, Lauge; Lo, Pechin Chien Pau; Dirksen, Asger

    2011-01-01

    A novel method for classification of abnormality in anatomical tree structures is presented. A tree is classified based on direct comparisons with other trees in a dissimilarity-based classification scheme. The pair-wise dissimilarity measure between two trees is based on a linear assignment...... between the branch feature vectors representing those trees. Hereby, localized information in the branches is collectively used in classification and variations in feature values across the tree are taken into account. An approximate anatomical correspondence between matched branches can be achieved...... by including anatomical features in the branch feature vectors. The proposed approach is applied to classify airway trees in computed tomography images of subjects with and without chronic obstructive pulmonary disease (COPD). Using the wall area percentage (WA%), a common measure of airway abnormality in COPD...

  7. Lunar helium-3 and fusion power

    Energy Technology Data Exchange (ETDEWEB)

    1988-09-01

    The NASA Office of Exploration sponsored the NASA Lunar helium-3 and fusion power Workshop. The meeting was held to understand the potential of using He-3 from the moon for terrestrial fusion power production. It provided an overview, two parallel working sessions, a review of sessions, and discussions. The lunar mining session concluded that mining, beneficiation, separation, and return of He-3 from the moon would be possible but that a large scale operation and improved technology is required. The fusion power session concluded that: (1) that He-3 offers significant, possibly compelling, advantages over fusion of tritium, principally increased reactor life, reduced radioactive wastes, and high efficiency conversion, (2) that detailed assessment of the potential of the D/He-3 fuel cycle requires more information, and (3) D/He-3 fusion may be best for commercial purposes, although D/T fusion is more near term.

  8. Lunar Helium-3 and Fusion Power

    Science.gov (United States)

    1988-01-01

    The NASA Office of Exploration sponsored the NASA Lunar Helium-3 and Fusion Power Workshop. The meeting was held to understand the potential of using He-3 from the moon for terrestrial fusion power production. It provided an overview, two parallel working sessions, a review of sessions, and discussions. The lunar mining session concluded that mining, beneficiation, separation, and return of He-3 from the moon would be possible but that a large scale operation and improved technology is required. The fusion power session concluded that: (1) that He-3 offers significant, possibly compelling, advantages over fusion of tritium, principally increased reactor life, reduced radioactive wastes, and high efficiency conversion, (2) that detailed assessment of the potential of the D/He-3 fuel cycle requires more information, and (3) D/He-3 fusion may be best for commercial purposes, although D/T fusion is more near term.

  9. 基于信息聚合的电力企业供应链大数据研究%A Big Data Study on Power Company Supply Chain Based on Information Fusion

    Institute of Scientific and Technical Information of China (English)

    段琳风; 刘雷; 陈曦; 和心; 金菲菲

    2016-01-01

    With the advent of the big data era come new opportunities and challenges which require the operation and management of the supply chains to adapt to the characteristics of the era. In this paper, we pointed out that information fusion fitted the requirement on the extraction, integration and optimized utilization of information in supply chain operation and that, through information fusion, we could obtain and analyze valuable data in a timely and effective manner, enhance the efficiency and benefit of supply chain operation and management, and reduce the operational cost and risks. Next, based on the empirical big data of an electric power company supply chain, we demonstrated the process of information fusion in the big data analysis, thus proving the validity and practicality of the method.%大数据时代为供应链带来了新的机会和挑战,供应链的经营与管理必须紧密对接大数据时代发展的特征.指出信息聚合符合了供应链运营中的信息萃取、整合与优化利用等要求,通过信息聚合,能够及时、有效地获取与分析具有价值的数据,提高供应链经营管理的效率与效益,降低经营成本和风险.然后以电力企业供应链大数据为实例,阐明了利用信息聚合方法进行大数据分析的过程,从而证明了信息聚合方法的有效性和实用性.

  10. Application of satellite gravity information fusion to refine regional quasi-geoid%卫星重力信息融合及区域似大地水准面精化应用

    Institute of Scientific and Technical Information of China (English)

    宋雷; 陈晓华; 胡伍生; 王德宝; 王牧龙

    2013-01-01

    为改善地面重力数据缺乏区域似大地水准面的精度和分辨率,提出利用神经网络融合卫星重力信息应用于似大地水准面精化的方法,通过融合不同时期CHAMP卫星数据计算的重力场模型和GPS/水准数据中区域重力场信息,进行区域似大地水准面精化并进行精度统计,结果表明:融合卫星重力信息将区域似大地水准面模型的精度由0.4702 m提高至0.2038 m,验证了神经网络技术融合卫星重力信息并应用于区域似大地水准面精化是有效的.%In order to improve the precision and resolution of quasi-geoid in the region of lacking ground gravity data, the method of satellite gravity information fusion using neural network to refine regional quasi-geoid is proposed.The regional quasi-geoid is refined by fusing the gravity informa-tion of CHAMP ( challenging mini-satellite payload ) gravity field models at different periods and GPS/leveling, and then the precision of quasi-geoid is estimated.The results show that the satellite gravity information fusion can improve the precision of regional quasi-geoid from 0.470 2 m to 0.203 8 m, which verify that satellite gravity information fusion using neural network to refine re-gional quasi-geoid is effective.

  11. Linear Minimum variance estimation fusion

    Institute of Scientific and Technical Information of China (English)

    ZHU Yunmin; LI Xianrong; ZHAO Juan

    2004-01-01

    This paper shows that a general mulitisensor unbiased linearly weighted estimation fusion essentially is the linear minimum variance (LMV) estimation with linear equality constraint, and the general estimation fusion formula is developed by extending the Gauss-Markov estimation to the random paramem of distributed estimation fusion in the LMV setting.In this setting ,the fused estimator is a weighted sum of local estimatess with a matrix quadratic optimization problem subject to a convex linear equality constraint. Second, we present a unique solution to the above optimization problem, which depends only on the covariance matrixCK. Third, if a priori information, the expectation and covariance, of the estimated quantity is unknown, a necessary and sufficient condition for the above LMV fusion becoming the best unbiased LMV estimation with dnown prior information as the above is presented. We also discuss the generality and usefulness of the LMV fusion formulas developed. Finally, we provied and off-line recursion of Ck for a class of multisensor linear systems with coupled measurement noises.

  12. Utilization management in anatomic pathology.

    Science.gov (United States)

    Lewandrowski, Kent; Black-Schaffer, Steven

    2014-01-01

    There is relatively little published literature concerning utilization management in anatomic pathology. Nonetheless there are many utilization management opportunities that currently exist and are well recognized. Some of these impact only the cost structure within the pathology department itself whereas others reduce charges for third party payers. Utilization management may result in medical legal liabilities for breaching the standard of care. For this reason it will be important for pathology professional societies to develop national utilization guidelines to assist individual practices in implementing a medically sound approach to utilization management.

  13. The Robot Self-Localization Method based on Multi-Sensors Information Fusion%基于多传感器信息融合的机器人自定位方法

    Institute of Scientific and Technical Information of China (English)

    毛臣健

    2012-01-01

    基于现有定位方法无法满足RoboCup足球机器人比赛中的定位要求,本文提出了一种基于多传感器信息融合的场景定位方法.以全向视觉与电子罗盘作为传感器,采用基于目标与数据驱动的方式作为其融合控制结构,产生式规则作为其数据融合的方法.实验证明,在现有大场地比赛范围内,该方法可以有效地实现机器人的自定位.%According to the self-localization requirement of RoboCup soccer robot, this paper presented a new self-localization method based on multi -sensors information fusion. Hie basic sensors used omni -directional vision and compass, goal and data driven as the fusion control structure, production rule as the fusion way. The experiments showed the validity for the presented method in large game scene.

  14. Revisions to the JDL data fusion model

    Science.gov (United States)

    Steinberg, Alan N.; Bowman, Christopher L.; White, Franklin E.

    1999-03-01

    The Data Fusion Model maintained by the Joint Directors of Laboratories (JDL) Data Fusion Group is the most widely-used method for categorizing data fusion-related functions. This paper discusses the current effort to revise the expand this model to facilitate the cost-effective development, acquisition, integration and operation of multi- sensor/multi-source systems. Data fusion involves combining information - in the broadest sense - to estimate or predict the state of some aspect of the universe. These may be represented in terms of attributive and relational states. If the job is to estimate the state of a people, it can be useful to include consideration of informational and perceptual states in addition to the physical state. Developing cost-effective multi-source information systems requires a method for specifying data fusion processing and control functions, interfaces, and associate databases. The lack of common engineering standards for data fusion systems has been a major impediment to integration and re-use of available technology: current developments do not lend themselves to objective evaluation, comparison or re-use. This paper reports on proposed revisions and expansions of the JDL Data FUsion model to remedy some of these deficiencies. This involves broadening the functional model and related taxonomy beyond the original military focus, and integrating the Data Fusion Tree Architecture model for system description, design and development.

  15. DSlT:An Evidence Reasoning Method for Information Fusion in Wireless Sensor Ne two rks%DSl T:面向传感网信息融合的证据推理方法

    Institute of Scientific and Technical Information of China (English)

    陈浩; 王睿; 孙荣丽; 肖克江; 崔莉

    2015-01-01

    Information fusion in wireless sensor networks has recently been a focal point of research , meanwhile with many research challenges . The major challenges include the problem of high conflicting information fusion processing and the requirement for light‐weight algorithms with low computational complexity .In the paper ,an evidence reasoning method based on the logic expression , namely DSlT ,is proposed .By definition of the new combination rule of evidence based on the logic operation and by strict reservation of local conflict ,DSlT deals with high conflicting information fusion .By defining new focal elements ,the combination amount of focal elements is lowered greatly . Accordingly ,the computation cost is reduced dramatically .To verify the performance of DSlT ,we conduct two experiments .The first example experiment shows that our approach can effectively deal with high conflicting information fusion .Additionally ,compared with DSmT ,the computation cost of DSlT is reduced by 81.08% in the process of 3‐dimensional evidence fusion . In the real scene experiment ,vehicle classification is the application background . T he traffic information acquisition platform based on an image sensor netw ork is used for collecting image data of vehicles . T he comparison results further indicate the efficiency and advancement of DSlT . T he experiments fully reveal the potential application prospect of DSlT in the research field of information fusion in wireless sensor networks .%无线传感器网络信息融合技术是近期的研究热点和难点,其面临的主要挑战包括:对高冲突信息的处理以及算法轻量级的要求.从降低计算量和处理冲突信息2方面考虑,提出一种基于逻辑表达的证据推理方法DSlT .通过对信息的逻辑表达保留了信息中的冲突部分,提出基于逻辑运算的证据组合规则,能较好地适应高冲突证据间的融合;通过定义新的焦元,有效地减少了焦元

  16. Technical issues for beryllium use in fusion blanket applications

    Energy Technology Data Exchange (ETDEWEB)

    McCarville, T.J.; Berwald, D.H.; Wolfer, W.; Fulton, F.J.; Lee, J.D.; Maninger, R.C.; Moir, R.W.; Beeston, J.M.; Miller, L.G.

    1985-01-01

    Beryllium is an excellent non-fissioning neutron multiplier for fusion breeder and fusion electric blanket applications. This report is a compilation of information related to the use of beryllium with primary emphasis on the fusion breeder application. Beryllium resources, production, fabrication, properties, radiation damage and activation are discussed. A new theoretical model for beryllium swelling is presented.

  17. 75 FR 8685 - Fusion Energy Sciences Advisory Committee

    Science.gov (United States)

    2010-02-25

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF ENERGY Fusion... open meeting. SUMMARY: This notice announces a meeting of the Fusion Energy Sciences Advisory Committee..., Gaithersburg, Maryland 20877. FOR FURTHER INFORMATION CONTACT: Albert L. Opdenaker, Office of Fusion...

  18. Data fusion, the deeplook perspective

    Energy Technology Data Exchange (ETDEWEB)

    Chawathe, Adwait

    1998-07-01

    In 1996, eight oil companies and six service companies began cooperation to stimulate the discovery of new breakthrough technologies with the vision of doubling the oil recovery factors. Data fusion in this context means merging and analyzing different sources of information through the use of technology for the purpose of intelligent decision-making. Breakthrough technologies are still premature and need guidance for the utopian data fusion. Soft computing (neural nets, genetic algorithms etc.) and Inverse Modelling promise heterogeneous data integration. Far-market technology should not be ignored and can be carefully adapted to hydrocarbon exploration and production.

  19. A reliability information fusion method based on dempster-shafer theory%一种基于证据理论的可靠性信息融合方法

    Institute of Scientific and Technical Information of China (English)

    鲁靖; 卞树檀

    2013-01-01

    针对产品同一状态信息的融合问题,提出了基于证据理论的多个验后信息加权融合法.该方法在充分考虑多个验后分布一致度的基础上,结合D-S证据理论计算权重因子,再通过加权融合法的一般思路得到一个综合的验后分布形式,进一步提高了统计推断的精度和置信度,最后以实例计算验证了方法的有效性和可行性.%Attempt for the information fusion for the same product status,an information weighted method is presented based on the evidence theory and multiple posterior information.Taking full account of the number of the degree of consensus of inspection distributed and combination of dempster-shafer theory,the weight factor is calculated.A comprehensive posterior distribution form is gained using the general idea of the weighted fusion method,the accuracy and confidence degrees of statistical inference is improved,Finally,a numerical example is given and proved the presented method effectiveness and confidence.

  20. 基于神经网络的多传感器信息融合及其在机器人中的应用%Multi-sensor information fusion based on neural network and its application in mobile robots

    Institute of Scientific and Technical Information of China (English)

    司兴涛; 张新义

    2009-01-01

    Multi-sensor information fusion technology fuses the redundant , complementary and real-time information from every sensor in a system and acquires more reliable and accurate information required by system. A fusion method based on neural network is introduced in this paper, and its application in robot field is discussed. An obstacle avoidance experiment of robot is done and the results prove the feasibility of the proposed approach.%多传感器信息融合即融合多个传感器提供的冗余、互补或更实时的信息,可以获得系统所需的更准确和更精确的信息.介绍了神经网络融合方法,探讨了信息融合技术在机器人方面的应用.机器人避障实验验证了所提方法的有效性.

  1. Fusion Method for Remote Sensing Image Based on Fuzzy Integral

    Directory of Open Access Journals (Sweden)

    Hui Zhou

    2014-01-01

    Full Text Available This paper presents a kind of image fusion method based on fuzzy integral, integrated spectral information, and 2 single factor indexes of spatial resolution in order to greatly retain spectral information and spatial resolution information in fusion of multispectral and high-resolution remote sensing images. Firstly, wavelet decomposition is carried out to two images, respectively, to obtain wavelet decomposition coefficients of the two image and keep coefficient of low frequency of multispectral image, and then optimized fusion is carried out to high frequency part of the two images based on weighting coefficient to generate new fusion image. Finally, evaluation is carried out to the image after fusion with introduction of evaluation indexes of correlation coefficient, mean value of image, standard deviation, distortion degree, information entropy, and so forth. The test results show that this method integrated multispectral information and space high-resolution information in a better way, and it is an effective fusion method of remote sensing image.

  2. Fusion Based Safety Application for Pedestrian Detection with Danger Estimation

    OpenAIRE

    García, Fernando; Escalera, Arturo de la; Armingol, José M.; García, Jesús; Llinas, James

    2011-01-01

    Proceedings of: 14th International Conference on Information Fusion (FUSION 2011). Chicago, Illinois, USA 5-8 July 2011. Road safety applications require the most reliable data. In recent years data fusion is becoming one of the main technologies for Advance Driver Assistant Systems (ADAS) to overcome the limitations of isolated use of the available sensors and to fulfil demanding safety requirements. In this paper a real application of data fusion for road safety for pedestrian detection ...

  3. Visualization of membrane fusion, one particle at a time.

    Science.gov (United States)

    Otterstrom, Jason; van Oijen, Antoine M

    2013-03-12

    Protein-mediated fusion between phospholipid bilayers is a fundamental and necessary mechanism for many cellular processes. The short-lived nature of the intermediate states visited during fusion makes it challenging to capture precise kinetic information using classical, ensemble-averaging biophysical techniques. Recently, a number of single-particle fluorescence microscopy-based assays that allow researchers to obtain highly quantitative data about the fusion process by observing individual fusion events in real time have been developed. These assays depend upon changes in the acquired fluorescence signal to provide a direct readout for transitions between the various fusion intermediates. The resulting data yield meaningful and detailed kinetic information about the transitory states en route to productive membrane fusion. In this review, we highlight recent in vitro and in vivo studies of membrane fusion at the single-particle level in the contexts of viral membrane fusion and SNARE-mediated synaptic vesicle fusion. These studies afford insight into mechanisms of coordination between fusion-mediating proteins as well as coordination of the overall fusion process with other cellular processes. The development of single-particle approaches to investigate membrane fusion and their successful application to a number of model systems have resulted in a new experimental paradigm and open up considerable opportunities to extend these methods to other biological processes that involve membrane fusion.

  4. 1995 International Sherwood Fusion Theory Conference

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-07-01

    This book is a guide to the 1995 International Sherwood Fusion Theory Conference. It consists largely of abstracts of the oral and poster presentations that were to be made, and gives some general information about the conference and its schedule.

  5. P-sets,Inverse P-sets and the Intelligent Fusion-filter Identification of Information%P-集合,逆P-集合与信息智能融合-过滤辨识

    Institute of Scientific and Technical Information of China (English)

    史开泉

    2012-01-01

    -sets, which have also dynamic characteristic. Inverse P-sets have the opposite mathematics structure to P-sets, which are a set pair composed of inemal inverse P-set XF( internal inverse packet set XF) and outer inverse P-set XF(outer inverse packet set XF) ,or (XF,XF) is inverse P-sets. Under a certain condition, inverse P-sets can be restored to finite general set X. Inverse P-sets are the mathematical expression of the other class dynamic system. P-reasoning(packet reasoning) is the dynamic reasoning generated by P-sets, and inverse P-reasoning (inverse packet reasoning) is the dynamic reasoning generated by inverse P-sets. By intersecting and infiltrating P-sets, inverse P-sets,P-reasoning,inverse P-reasoning with information fusion, the intelligent fusion-filter identification theory of information and its application study were given. The paper gave the structures, the separations and the equivalence class characteristics of P-sets and inverse P-sets, P-information fusion and inverse P-information fusion, the reasoning discovery,fusion measure,filter-identification of P-information fusion and inverse P-information fusion, the application of the intelligent fusion-filter identification of information. P-sets and inverse P-sets are new theories and methods of studying information fusion theory and application.

  6. Advanced algorithms for distributed fusion

    Science.gov (United States)

    Gelfand, A.; Smith, C.; Colony, M.; Bowman, C.; Pei, R.; Huynh, T.; Brown, C.

    2008-03-01

    The US Military has been undergoing a radical transition from a traditional "platform-centric" force to one capable of performing in a "Network-Centric" environment. This transformation will place all of the data needed to efficiently meet tactical and strategic goals at the warfighter's fingertips. With access to this information, the challenge of fusing data from across the batttlespace into an operational picture for real-time Situational Awareness emerges. In such an environment, centralized fusion approaches will have limited application due to the constraints of real-time communications networks and computational resources. To overcome these limitations, we are developing a formalized architecture for fusion and track adjudication that allows the distribution of fusion processes over a dynamically created and managed information network. This network will support the incorporation and utilization of low level tracking information within the Army Distributed Common Ground System (DCGS-A) or Future Combat System (FCS). The framework is based on Bowman's Dual Node Network (DNN) architecture that utilizes a distributed network of interlaced fusion and track adjudication nodes to build and maintain a globally consistent picture across all assets.

  7. Anatomical assessment of congenital heart disease.

    Science.gov (United States)

    Wood, John C

    2006-01-01

    Cardiac MRI (CMR) is replacing diagnostic cardiac catheterization as the modality of choice for anatomic and functional characterization of congenital heart disease (CHD) when echocardiographic imaging is insufficient. In this manuscript, we discuss the principles of anatomic imaging of CHD, placing emphasis on the appropriate choice and modification of pulse sequences necessary to evaluate infants and small children. Clinical examples are provided to illustrate the relative strengths and shortcomings of different CMR imaging techniques. Although cardiovascular function and flow techniques are not described, their role in evaluating the severity of anatomic defects is emphasized. Anatomic characterization represents the first component of a carefully-planned, integrated CMR assessment of CHD.

  8. Gradient-based compressive image fusion

    Institute of Scientific and Technical Information of China (English)

    Yang CHEN‡; Zheng QIN

    2015-01-01

    We present a novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE) sam-pling for compressive sensing imaging. First, source images are compressed by compressive sensing, to facilitate the transmission of the sensor. In the fusion phase, the image gradient is calculated to reflect the abundance of its contour information. By com-positing the gradient of each image, gradient-based weights are obtained, with which compressive sensing coefficients are achieved. Finally, inverse transformation is applied to the coefficients derived from fusion, and the fused image is obtained. Information entropy (IE), Xydeas’s and Piella’s metrics are applied as non-reference objective metrics to evaluate the fusion quality in line with different fusion schemes. In addition, different image fusion application scenarios are applied to explore the scenario adaptability of the proposed scheme. Simulation results demonstrate that the gradient-based scheme has the best per-formance, in terms of both subjective judgment and objective metrics. Furthermore, the gradient-based fusion scheme proposed in this paper can be applied in different fusion scenarios.

  9. Network models in anatomical systems.

    Science.gov (United States)

    Esteve-Altava, Borja; Marugán-Lobón, Jesús; Botella, Héctor; Rasskin-Gutman, Diego

    2011-01-01

    Network theory has been extensively used to model the underlying structure of biological processes. From genetics to ecology, network thinking is changing our understanding of complex systems, specifically how their internal structure determines their overall behavior. Concepts such as hubs, scale-free or small-world networks, common in the complexity literature, are now used more and more in sociology, neurosciences, as well as other anthropological fields. Even though the use of network models is nowadays so widely applied, few attempts have been carried out to enrich our understanding in the classical morphological sciences such as in comparative anatomy or physical anthropology. The purpose of this article is to introduce the usage of network tools in morphology; specifically by building anatomical networks, dealing with the most common analyses and problems, and interpreting their outcome.

  10. 桥梁管理系统与结构健康监测系统的信息融合%The information fusion of bridge management system and structural health monitoring system

    Institute of Scientific and Technical Information of China (English)

    常军

    2012-01-01

    通过对桥梁管理系统与结构健康监测系统的应用现状分析,发现两大系统没有进行良好地融合,各自独立,造成资源浪费、所获得的结果不全面等问题。论文基于对两系统的特点及应用情况研究,进而对两种系统融合的必要性和可行性进行了分析。最后,通过对桥梁管理系统中的主要模块之一——状态评估中两系统如何进行信息融合,给出了两系统融合的具体做法。信息融合后的桥梁管理系统可以得出更加实际的桥梁状态评估结果及桥梁的剩余寿命预测结果,进而为桥梁管理的决策者制定出更加实际有效的桥梁维护策略提供依据。%Through the application status investigation of the bridge management system and the structural health monitoring system, it was found that the two systems were not fused well, which resulted in resources waste and inaccurate outcomes. Based on the research of status and application of the two systems, the paper analyzed the necessity and feasibility of the information fusion of the two systems. Finally, the specific information fusion of the two systems is presented through the exact information fusion of the systems in the bridge structural condition assessment, one of the most important modules of the bridge management system. More accurate results of the condition assessment and remaining life prediction of bridges can be obtained by the bridge management system after the fusion, which will offer some evidence for the bridge maintenance strategy made by bridge management decision-makers.

  11. OUTCOME OF POSTEROLATERAL FUSION VERSUS CIRCUMFERENTIAL FUSION WITH CAGE FOR LUMBAR STENOSIS AND LOW DEGREE LUMBAR SPONDYLOLISTHESIS

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Objective To evaluate the outcome of two methods for stabilization and fusion: posterolateral fusion and circumferential fusion involving posterior lumbar interbody fusion for lumbar stenosis with Grades 1 and 2 lumbar spondylolisthesis. Methods From April 1998 to April 2003, 45 patients suffering from lumbar stenosis with low degree lumbar spondylolisthesis treated in our hospital were retrospectively reviewed and assigned to two groups. Among them, 24 patients (group A) were treated with instrumented posterolateral fusion and 21 patients (group B) with instrumented circumferential fusion. The two groups were compared for clinical and radiological outcomes. Results All patients were followed up for 12 to 72 months. In group A, results showed preoperative clinical symptoms disappeared completely in 12 of 24 patients, and pain relief was seen in 91.7% (22/24). Two cases suffered from residual symptoms. Twenty-two cases obtained complete reduction of olisthy vertebral bodies, and anatomical reduction rate was 91.7%. No infection or neurological complication occurred in this group. In group B, results showed preoperative clinical symptoms disappeared completely in 13 of 21 patients, and pain relief was seen in 90. 5% ( 19/21 ). One case suffered from residual symptoms. Twenty cases obtained complete reduction of the olisthy vertebral bodies, and anatomical reduction rate was 95.2%. Four cases of infection or neurological complication occurred in this group. Both groups indicated no significant difference in clinical outcomes and anatomical reduction rate during followup. But group A had better intraoperative circumstances and postoperative outcome than group B, while group B had better postoperative parameters in X-ray of Angle of Slipping and Disc Index than group A.Conclusions The first choice of surgical method for lumbar stenosis with low degree lumbar spondylolisthesis is instrumented posterolateral fusion. Only when patients suffer from severe preoperative disc

  12. Analysis of Image Fusion Techniques for fingerprint Palmprint Multimodal Biometric System

    Directory of Open Access Journals (Sweden)

    S. Anu H Naira

    2015-01-01

    Full Text Available The multimodal Biometric System using multiple sources of information has been widely recognized. However computational models for multimodal biometrics recognition have only recently received attention. In this paper the fingerprint and palmprint images are chosen and fused together using image fusion methods. The biometric features are subjected to modality extraction. Different fusion methods like average fusion, minimum fusion, maximum fusion, discrete wavelet transform fusion and stationary wavelet transformfusion are implemented for the fusion of extracting modalities. The best fused template is analyzed by applying various fusion metrics. Here the DWT fused image provided better results.

  13. Uncertainty analysis of navigation sensor information fusion for underwater vehicle%水下潜器多传感器信息融合的不确定性分析

    Institute of Scientific and Technical Information of China (English)

    张涛; 齐永奇; 郭晓波

    2013-01-01

    为了降低水下潜器组合导航模型中传感器信息的不确定性,提出了一种基于证据理论的多传感器信息融合方法。在该算法中,将导航传感器信息数据输入到ELMAN网络来获取D-S证据理论中各传感器故障的基本概率赋值,再利用改进后的证据理论对导航系统的信息进行决策级融合。仿真结果表明,导航传感器信息的不确定性降低到0.001,可以精确检测到故障传感器,有效提高了系统信息的可靠性和对传感器故障的识别能力,为水下潜器精确导航提供了保障。%In order to reduce information uncertainty in integrated navigation model for underwater vehicle, a multi-sensor information fusion algorithm based on evidence theory is presented. In the algorithm, the navigation sensor measured data were input into ELMAN network and used to obtain basic probability assignment for sensor fault in D-S evidence theory. And then the improved evidence theory was used to execute the decision and fusion for navigation information. The simulation results prove that the uncertainty of navigation sensor information is reduced to 0.001, and the fault sensor can be detected. The algorithm can effectively improve the reliability of navigation system information and the recognition of sensor fault, which provides the guarantee for the precise navigation of underwater vehicle.

  14. MULTI-TYPE INFORMATION FUSION AND STATE IDENTIFICATION BASED SOFM%基于SOFM网络的机械设备多类型信息融合与状态识别

    Institute of Scientific and Technical Information of China (English)

    申弢; 黄树红; 韩守木; 刘德昌

    2001-01-01

    From the viewpoint of information source, the system of monitoring end diagnosis for machinery is one of multi-source information processing systems. Various features can be reduced to three types:numeric, linguistic and graphics. Through translating the non-numeric symptom into numeric one, information of various types can be denoted by multi dimension vector. So, the idea of features fusion of various types is proposed through information cormpression, and the method of how self-organizing feature mapping (SOFM) netword deals with it is studied. With the trace of active nodes on output layer, the underlying features varying of state represented by multi-source information can be observed correctly and visually, so occurrence and varying trend of faults can be identified early. The high performance of this method proposed is exempli fied by handling fusion in experiments and field work.%从信息源的角度来说,机械监测与诊断系统是一个多源信息处理系统。提出了利用信息压缩进行多类型特 征信息融合的思想,研究了自组织特征映射(SOFM)网络处理这种多类型信息融合的可视化状态识别方法。网络 输出层激活结点的轨迹,可以正确直观地反映出多源信息所表示状态的潜在变化特征,从而便于识别早期故障的 发生与变化趋势。通过对试验及现场数据的融合处理,说明了所提出方法的有效性。

  15. Hybrid ultrasound imaging techniques (fusion imaging).

    Science.gov (United States)

    Sandulescu, Daniela Larisa; Dumitrescu, Daniela; Rogoveanu, Ion; Saftoiu, Adrian

    2011-01-07

    Visualization of tumor angiogenesis can facilitate non-invasive evaluation of tumor vascular characteristics to supplement the conventional diagnostic imaging goals of depicting tumor location, size, and morphology. Hybrid imaging techniques combine anatomic [ultrasound, computed tomography (CT), and/or magnetic resonance imaging (MRI)] and molecular (single photon emission CT and positron emission tomography) imaging modalities. One example is real-time virtual sonography, which combines ultrasound (grayscale, colour Doppler, or dynamic contrast harmonic imaging) with contrast-enhanced CT/MRI. The benefits of fusion imaging include an increased diagnostic confidence, direct comparison of the lesions using different imaging modalities, more precise monitoring of interventional procedures, and reduced radiation exposure.

  16. Deep sleep divides the cortex into opposite modes of anatomical-functional coupling.

    Science.gov (United States)

    Tagliazucchi, Enzo; Crossley, Nicolas; Bullmore, Edward T; Laufs, Helmut

    2016-11-01

    The coupling of anatomical and functional connectivity at rest suggests that anatomy is essential for wake-typical activity patterns. Here, we study the development of this coupling from wakefulness to deep sleep. Globally, similarity between whole-brain anatomical and functional connectivity networks increased during deep sleep. Regionally, we found differential coupling: during sleep, functional connectivity of primary cortices resembled more the underlying anatomical connectivity, while we observed the opposite in associative cortices. Increased anatomical-functional similarity in sensory areas is consistent with their stereotypical, cross-modal response to the environment during sleep. In distinction, looser coupling-relative to wakeful rest-in higher order integrative cortices suggests that sleep actively disrupts default patterns of functional connectivity in regions essential for the conscious access of information and that anatomical connectivity acts as an anchor for the restoration of their functionality upon awakening.

  17. Advertising cadavers in the republic of letters: anatomical publications in the early modern Netherlands.

    Science.gov (United States)

    Margócsy, Dániel

    2009-06-01

    This paper sketches how late seventeenth-century Dutch anatomists used printed publications to advertise their anatomical preparations, inventions and instructional technologies to an international clientele. It focuses on anatomists Frederik Ruysch (1638-1732) and Lodewijk de Bils (1624-69), inventors of two separate anatomical preparation methods for preserving cadavers and body parts in a lifelike state for decades or centuries. Ruysch's and de Bils's publications functioned as an 'advertisement' for their preparations. These printed volumes informed potential customers that anatomical preparations were aesthetically pleasing and scientifically important but did not divulge the trade secrets of the method of production. Thanks to this strategy of non-disclosure and advertisement, de Bils and Ruysch could create a well-working monopoly market of anatomical preparations. The 'advertising' rhetorics of anatomical publications highlight the potential dangers of equating the growth of print culture with the development of an open system of knowledge exchange.

  18. Surface anatomy and anatomical planes in the adult turkish population.

    Science.gov (United States)

    Uzun, C; Atman, E D; Ustuner, E; Mirjalili, S A; Oztuna, D; Esmer, T S

    2016-03-01

    Surface anatomy and anatomical planes are widely used in education and clinical practice. The planes are largely derived from cadaveric studies and their projections on the skin show discrepancies between and within anatomical reference textbooks. In this study, we reassessed the accuracy of common thoracic and abdominopelvic anatomical planes using computed tomography (CT) imaging in the live adult Turkish population. After patients with distorting pathologies had been excluded, CT images of 150 supine patients at the end tidal inspiration were analyzed. Sternal angle, transpyloric, subcostal, supracristal and pubic crest planes and their relationships to anatomical structures were established by dual consensus. The tracheal bifurcation, azygos vein/superior vena cava (SVC) junction and pulmonary bifurcation were usually below the sternal angle while the concavity of the aortic arch was generally within the plane. The tip of the tenth rib, the superior mesenteric artery and the portal vein were usually within the transpyloric plane while the renal hila and the fundus of the gallbladder were below it. The inferior mesenteric artery was below the subcostal plane and the aortic bifurcation was below the supracristal plane in most adults. Projectional surface anatomy is fundamental to medical education and clinical practice. Modern cross-sectional imaging techniques allow large groups of live patients to be examined. Classic textbook information regarding anatomy needs to be reviewed and updated using the data gathered from these recent studies, taking ethnic differences into consideration.

  19. Research on an Agricultural Knowledge Fusion Method for Big Data

    Directory of Open Access Journals (Sweden)

    Nengfu Xie

    2015-05-01

    Full Text Available The object of our research is to develop an ontology-based agricultural knowledge fusion method that can be used as a comprehensive basis on which to solve agricultural information inconsistencies, analyze data, and discover new knowledge. A recent survey has provided a detailed comparison of various fusion methods used with Deep Web data (Li, 2013. In this paper, we propose an effective agricultural ontology-based knowledge fusion method by leveraging recent advances in data fusion, such as the semantic web and big data technologies, that will enhance the identification and fusion of new and existing data sets to make big data analytics more possible. We provide a detailed fusion method that includes agricultural ontology building, fusion rule construction, an evaluation module, etc. Empirical results show that this knowledge fusion method is useful for knowledge discovery.

  20. INTRODUCTION: Status report on fusion research

    Science.gov (United States)

    Burkart, Werner

    2005-10-01

    A major milestone on the path to fusion energy was reached in June 2005 on the occasion of the signing of the joint declaration of all parties to the ITER negotiations, agreeing on future arrangements and on the construction site at Cadarache in France. The International Atomic Energy Agency has been promoting fusion activities since the late 1950s; it took over the auspices of the ITER Conceptual Design Activities in 1988, and of the ITER Engineering and Design Activities in 1992. The Agency continues its support to Member States through the organization of consultancies, workshops and technical meetings, the most prominent being the series of International Fusion Energy Conferences (formerly called the International Conference on Plasma Physics and Controlled Nuclear Fusion Research). The meetings serve as a platform for experts from all Member States to have open discussions on their latest accomplishments as well as on their problems and eventual solutions. The papers presented at the meetings and conferences are routinely published, many being sent to the journal it Nuclear Fusion, co-published monthly by Institute of Physics Publishing, Bristol, UK. The journal's reputation is reflected in the fact that it is a world-renowned publication, and the International Fusion Research Council has used it for the publication of a Status Report on Controlled Thermonuclear Fusion in 1978 and 1990. This present report marks the conclusion of the preparatory phases of ITER activities. It provides background information on the progress of fusion research within the last 15 years. The International Fusion Research Council (IFRC), which initiated the report, was fully aware of the complexities of including all scientific results in just one paper, and so decided to provide an overview and extensive references for the interested reader who need not necessarily be a fusion specialist. Professor Predhiman K. Kaw, Chairman, prepared the report on behalf of the IFRC, reflecting

  1. Brain Morphometry Using Anatomical Magnetic Resonance Imaging

    Science.gov (United States)

    Bansal, Ravi; Gerber, Andrew J.; Peterson, Bradley S.

    2008-01-01

    The efficacy of anatomical magnetic resonance imaging (MRI) in studying the morphological features of various regions of the brain is described, also providing the steps used in the processing and studying of the images. The ability to correlate these features with several clinical and psychological measures can help in using anatomical MRI to…

  2. Cold fusion research

    Energy Technology Data Exchange (ETDEWEB)

    None

    1989-11-01

    I am pleased to forward to you the Final Report of the Cold Fusion Panel. This report reviews the current status of cold fusion and includes major chapters on Calorimetry and Excess Heat, Fusion Products and Materials Characterization. In addition, the report makes a number of conclusions and recommendations, as requested by the Secretary of Energy.

  3. Image fusion algorithm of multi-spectral and panchromatic images adopting region mutual information%采用区域互信息的多光谱与全色图像融合算法

    Institute of Scientific and Technical Information of China (English)

    王金玲; 贺小军; 宋克非

    2014-01-01

    For advancing the fusion algorithm quality of multi-spectral and panchromatic images, an image fusion algorithm of multi-spectral and panchromatic images was presented by region mutual information. Firstly the multi-spectral image was turned to HSV color space, and region segmentation was applied to V component by the method of watershed and region combination, and spectral distance was taken as the region combination estimation. Secondly the V component of multi-spectral image and panchromatic image were decomposed multi-resolution by nonsubsample Contourlet transform(NSCT), the region segmentation was mapping to the panchromatic image, and the multi-resolution decomposition coefficient was fused by calculating the mutual information of corresponding region to obtain the decomposition coefficient of fusion image. Lastly the fusion image reconfiguration was realized through NSCT inverse transform. The experimental result shows that the image fusion algorithm presented by this paper retains the spectral information of multi-spectral image adequately, meanwhile injects details information of panchromatic image as much as possible, which advances the edge characteristic of multi-spectral image effectively.%为了提高多光谱与全色图像融合算法质量,提出了一种采用区域互信息的多光谱与全色图像融合算法。首先将多光谱图像变换至 HSV 彩色空间,并采用分水岭与区域合并的方法对 V 分量进行区域分割,得到区域分割映射,欧氏光谱距离作为区域合并的测度。然后采用非下采样 Contourlet变换(Nonsubsample Contourlet Transform,NSCT)对多光谱图像 V 分量和全色图像进行多分辨率分解,将区域分割结果映射至全色图像,通过计算对应区域间的互信息对多分辨率分解系数进行融合,获得融合图像的分解系数,最后通过 NSCT 反变换实现融合图像重构。图像融合算法对比实验表明,文中融合算法在充分保

  4. 基于多源信息的高速列车走行部故障识别方法%High-speed train running gear fault recognition based on information fusion of multi-source

    Institute of Scientific and Technical Information of China (English)

    朱建渠; 金炜东; 郑高; 朱斌

    2014-01-01

    针对高速列车安全性能跟踪监测点多、监测数据量大而导致的走行部故障识别难的问题,提出了一种基于模糊证据理论的多特征、多源信息融合的走行部故障识别方法。首先根据不同传感器信息的某类特征属于不同故障模式下的隶属度间的差异来计算传感器间的信息融合度,利用融合度来确定不同传感器在融合中的权重,从而得到同类特征不同传感器间信息融合后的隶属度;然后由融合后的隶属度转化为基本概率分配函数;最后用证据理论对不同特征间信息进行融合。实验结果表明,该方法能有效地识别列车正常、空气弹簧失气、抗蛇形减震器全拆、横向减震器全拆四种情况,同时在不同速度下均取得了满意的识别率,验证了该方法的有效性。%To solve the problem that it is difficult to identify faults of high-speed train running gears caused by multiple detection points and large amount of data,a running gear fault recognition method with multi-feature and multi-source information fusion was proposed based on the fuzzy evidence theory.Firstly,the information fusion levels of sensors were obtained by calculating the difference of membership degrees reflecting a certain feature of different sensors belonging to different fault modes.The fusion levels were used to determine the weights of different sensors during fusion,thus the membership degrees after information fusion between different sensors with similar characteristics were obtained.Then,the fused membership degrees were converted into the basic probability assignment functions.Finally,the information of different characteristics was fused on the basis of the evidence theory.Experimental results showed that the four cases including normal running,air loss of air spring,without anti-yaw shock absorber and without transverse shock absorber can be identified effectively with the proposed method,and the

  5. Viral membrane fusion

    Energy Technology Data Exchange (ETDEWEB)

    Harrison, Stephen C., E-mail: harrison@crystal.harvard.edu

    2015-05-15

    Membrane fusion is an essential step when enveloped viruses enter cells. Lipid bilayer fusion requires catalysis to overcome a high kinetic barrier; viral fusion proteins are the agents that fulfill this catalytic function. Despite a variety of molecular architectures, these proteins facilitate fusion by essentially the same generic mechanism. Stimulated by a signal associated with arrival at the cell to be infected (e.g., receptor or co-receptor binding, proton binding in an endosome), they undergo a series of conformational changes. A hydrophobic segment (a “fusion loop” or “fusion peptide”) engages the target-cell membrane and collapse of the bridging intermediate thus formed draws the two membranes (virus and cell) together. We know of three structural classes for viral fusion proteins. Structures for both pre- and postfusion conformations of illustrate the beginning and end points of a process that can be probed by single-virion measurements of fusion kinetics. - Highlights: • Viral fusion proteins overcome the high energy barrier to lipid bilayer merger. • Different molecular structures but the same catalytic mechanism. • Review describes properties of three known fusion-protein structural classes. • Single-virion fusion experiments elucidate mechanism.

  6. Fusion de classifieurs pour la classification d'images sonar

    CERN Document Server

    Martin, Arnaud

    2008-01-01

    We present in this paper high level information fusion approaches available for numeric and symbolic data. We analyse the interest of such methods particularly for classifier fusion. A comparative study is presented for the seabed characterization form sonar images. Pattern recognition of the kind of sediments on sonar images is a hard problem because of the complexity of the data. We compare high level information fusion approach and show the obtained benefit.

  7. 多传感器信息融合的水下航行器组合导航方法%Information Fusion Technology and its Application to Multi-sensor Integrated Navigation System for Autonomous Underwater Vehicle

    Institute of Scientific and Technical Information of China (English)

    范欣; 张福斌; 张永清; 汪刚

    2011-01-01

    In order to enhance ability and accuracy of the autonomous underwater vehicle navigation system, in this paper, we propose a multi-sensor integrated navigation scheme based on information fusion theory. Based on the error equations of SINS, DVL, LBL and other sensor, the information fusion model for the system is build up. Meanwhile, the paper presents the structure and the algorithm of the federated filter and proposes the solution of various sensors frequency. Computer simulation was done and its result show that the model can effectively improve navigation system's precision to ability to fault detection and fully distill information from navigation sensors.%为了提高远程自主水下航行器组合导航系统的导航精度,提出了一种基于多传感器信息融合的组合导航系统方案.在建立SINS、DVL、LBL、深度计和航向传感器的误差模型的基础上,推导了多传感器信息融合模型,详细设计联邦滤波器结构,并给出各传感器输出频率不同时滤波器的解决方案.最后进行仿真试验,仿真结果表明该方法能充分融合多导航传感器信息,提高了远程自主水下航行器的导航精度.

  8. Application of the Multi-Source Information Assimilation & Fusion Technology on Drought Evaluation%多源信息同化融合技术在旱情评价中的应用

    Institute of Scientific and Technical Information of China (English)

    顾颖; 戚建国; 倪深海; 金君良; 刘静楠; 刘艳丽; 戴星

    2014-01-01

    In order to solve the deviation problem of drought assessment and improve the accuracy of the assessment of drought and based on infor-mation assimilated and fusion concepts,this article discussed the application for drought multi-source information assimilation and fusion techniques in the assessment of drought. It analyzed the characteristics of drought types and mutual relations,proposed the ideas and methods of drought multi-source information assimilation & fusion and built drought evaluation index system. It conducted applied research in the study case. The results show that the obtained comprehensive drought index can reflect the result of the interaction of three types of drought. A new drought assessment technical means and methods are proposed.%为解决依据单因素判断旱情造成的偏差,提高旱情评估的准确性,引入了多源信息同化融合的概念,从多源信息同化融合的基本概念出发,讨论了信息同化融合在旱情评价中应用的可能性,分析了各类干旱的相互关系以及相应旱情信息的特点和来源,提出了旱情多源信息同化融合的思路和方法,构建了旱情综合评价指标体系,并进行了实际应用研究。结果表明:所得到的综合旱情指标可反映各类干旱相互作用的结果,避免了仅依靠单因素评估旱情造成的片面性,为全面、完整进行旱情评估提供了一种新的技术手段和方法。

  9. Integrating anatomical and functional imaging for the assessment of coronary artery disease.

    Science.gov (United States)

    Lee, Andrea K Y; Qutub, Mohammed A; Aljizeeri, Ahmed; Chow, Benjamin J W

    2013-10-01

    Coronary artery disease (CAD) is a leading cause of morbidity and mortality. Invasive cardiac angiography with fractional flow reserve measurement allows for the anatomical and functional assessment of CAD. Given the invasive nature of invasive cardiac angiography and the risks of procedure-related complications, research has focused upon noninvasive methods for anatomical and functional measures of CAD. As such, there is growing interest in the development of hybrid imaging because it may provide incremental diagnostic information over each imaging modality alone. We will provide an overview of the evidence to date on the anatomical and functional stratification of CAD and current hybrid techniques.

  10. Anatomic Eponyms in Neuroradiology: Head and Neck.

    Science.gov (United States)

    Bunch, Paul M

    2016-10-01

    In medicine, an eponym is a word-typically referring to an anatomic structure, disease, or syndrome-that is derived from a person's name. Medical eponyms are ubiquitous and numerous. They are also at times controversial. Eponyms reflect medicine's rich and colorful history and can be useful for concisely conveying complex concepts. Familiarity with eponyms facilitates correct usage and accurate communication. In this article, 22 eponyms used to describe anatomic structures of the head and neck are discussed. For each structure, the author first provides a biographical account of the individual for whom the structure is named. An anatomic description and brief discussion of the structure's clinical relevance follow.

  11. Materials research for fusion

    Science.gov (United States)

    Knaster, J.; Moeslang, A.; Muroga, T.

    2016-05-01

    Fusion materials research started in the early 1970s following the observation of the degradation of irradiated materials used in the first commercial fission reactors. The technological challenges of fusion energy are intimately linked with the availability of suitable materials capable of reliably withstanding the extremely severe operational conditions of fusion reactors. Although fission and fusion materials exhibit common features, fusion materials research is broader. The harder mono-energetic spectrum associated with the deuterium-tritium fusion neutrons (14.1 MeV compared to hydrogen and helium as transmutation products that might lead to a (at present undetermined) degradation of structural materials after a few years of operation. Overcoming the historical lack of a fusion-relevant neutron source for materials testing is an essential pending step in fusion roadmaps. Structural materials development, together with research on functional materials capable of sustaining unprecedented power densities during plasma operation in a fusion reactor, have been the subject of decades of worldwide research efforts underpinning the present maturity of the fusion materials research programme.

  12. [Horseshoe kidney: not a simple fusion anomaly].

    Science.gov (United States)

    Caccetta, Francesco; Caroppo, Maurizio; Musio, Fernando; Mudoni, Anna; Accogli, Antonella; Zacheo, Maria Dolores; Burzo, Domenica; Bramato, Daniele; Carluccio, Giancamillo; Nuzzo, Vitale

    2015-01-01

    The horseshoe kidney is a congenital anatomical defect of the kidney that occurs in 0,25% of the population and is generally characterized by the fusion of the lower poles of the two kidneys through an isthmus and to which may be associated with urogenital and renal vascular anomalies. Asymptomatic in 1/3 of the cases and, most of time, accidentally discovered during a radiological examination, promotes nephrolithiasis, ureteropelvic junction obstruction, hydronephrosis, vesicoureteral reflux and pyelonephritis. We report two cases of patients with kidney horseshoe, characterized by the abrupt onset of a septic state with oligo-anuric acute renal failure, electrolyte and acid-base abnormalities, rapid decay of the general conditions, with detection of nephrolithiasis, hydronephrosis and acute pyelonephritis and whose clinical management resulted in a significant and synergistic nefro-urology involvment. The kidney horseshoe not represent so only a simple fusion anomaly but rather an important anatomical condition that, once diagnosed, it would be worthy of a careful clinical, radiological and laboratory surveillance, in order to prevent the potential complications that may be also particularly severe.

  13. Navigation Study for Intelligent Vehicle Based on Layered Sensor Information Fusion%基于分层传感器信息融合的智能车辆导航

    Institute of Scientific and Technical Information of China (English)

    汪明磊; 陈无畏; 王檀彬; 王家恩; 李进

    2009-01-01

    To solve the uncertainty of sensor information for intelligent vehicle navigation, a 2-level sensor information fusion method based on both BP neural network and fuzzy neural network was presented. A BP neural network was used to fuse information from multi-ultrasonic sensors so that the uncertainty of the sensors' information can be decreased and high accuracy of obstacle distance can be obtained. In order to realize preferable decision control of navigation, a fuzzy neural network controller was employed for tracking obstacle avoidance to fuse the obstacle distance and the error information between the vehicle and the marked line. High performance of robustness and flexibility for intelligent vehicle navigation can be achieved with the 2-level information fusion method. Simulation and experiment results verified the effectiveness of the proposed approach.%针对智能车辆导航中传感器信息的不确定性,结合BP神经网络和模糊神经网络分别对传感器信息进行了数据层与决策层的两层融合.采用BP神经网络对多超声波传感器信息进行数据层融合,以减少超声波测距传感器信息的不确定性,提高对障碍物距离探测的准确率;采用模糊神经网络融合障碍物距离信息和车体与标志线间偏差信息,实现智能车辆的导航决策控制,使之更适合系统的跟踪避障要求.该方法使智能车辆在跟踪与避障中具有较好的灵活性和鲁棒性.仿真和实车试验验证了方法的有效性.

  14. Planetary gear fault diagnosis based on information fusion of multi-parameters and multi-points%多参数与多测点信息融合的行星轮故障诊断

    Institute of Scientific and Technical Information of China (English)

    徐玉秀; 赵晓清; 杨文平; 郭威

    2014-01-01

    为了找到多级行星齿轮传动系统复杂故障诊断的合适方法,对三级齿轮传动系统进行故障模拟和振动信号测试。针对行星齿轮传动系统振动信号的非线性和非平稳性、故障特征信号难以提取等特点,采用关联维数、最大Lyapunov指数、样本熵3个混沌特征参数作为故障辨识特征量。用不同测点和不同混沌特征参数的信息融合,通过支持向量机分类方法建立信息融合故障诊断模型及6种不同故障状态的训练集,实现对三级齿轮传动系统复杂故障类型的识别与诊断。分析结果表明:多测点信息融合或不同混沌特征参数融合,均能不同程度提高故障分类准确率。而经多测点与多混沌特征参数的信息融合后,通过支持向量机的故障分类准确率最高。%In order to find the appropriate method of multistage planetary gear transmission system complex fault diagnosis,fault simulation and vibration signal test were carried out on three stage gear transmission system.Aiming at the nonlinear and non-sta-tionary characteristics of the vibration signals of the planetary gear transmission system and the difficultly in picking up the fault fea-ture signals,3 chaotic characteristic parameters,including the correlation dimension,maximum Lyapunov exponent and sample entropy were adopted as fault identification features.The information of different measuring points and different chaotic characteris-tic parameters was fused;and the information fusion fault diagnosis model and the training set for 6 kinds of different fault states were established based on the classification method of support vector machine,then the recognition and diagnosis of the three stage gear transmission system with complex fault types were achieved.Analysis results show that the multiple measurement information fusion or different chaotic characteristic parameter fusion both can improve the accuracy of fault classification

  15. 多传感器信息融合测控体系在温室测控中的应用研究%Research on the Application of Sensors Information Fusion Control System in the Conservatory Monitor

    Institute of Scientific and Technical Information of China (English)

    杨帆; 程雯; 夏亦冰; 杜四平; 肖贝

    2011-01-01

    The real-time monitoring and remote controlling to growing environmental parameters of crops, such as temperature, humidity and illumination, which is a significant method in agricultural modernization. The system takes the ARM embedded microprocessor 2410 as the hardware platform, combines with Linux operating system and ARM Developer Suite (ADS) 1. 2integrated development environments. Moreover, it forms a measurement and control system of multisensor information fusion, which based on the D-S evidence theory and the BP neural network algorithm. The BP neural network provides some pieces of evidence; while D-S evidence theory could reduce the nondeterminacy. With the application of both multisensor information fusion algorithms, finally, the reliability is 93. 47% of section, with the basic probability fusion of three sensors in three different moments. Through the simulation result of the experiment, we can see a higher recognition rate and good application prospect of the system.%对农作物生长环境的温度、湿度和光照等参数的实时监测和远程控制是农业生产现代化的重要手段,为此设计了一种以ARM嵌入式微处理器2410为硬件平台,结合Linux操作系统和ADS1.2集成开发环境,同时采用D-S证据理论和BP神经网络相结合算法的多传感器信息融合测控系统.BP神经网络提供一定数量的证据,D-S证据理论降低证据的不确定性,将这种基于二者的多传感器信息融合算法应用于农作物生长环境监控中,最终得到了在S1(T>30℃)温度区间内93.47%的可信度,可见设计的基于多传感器信息融合的测控体系具有良好的应用前景.

  16. Error Analysis of Unbiased Converted Measurements and Data Fusion in Radar and Photoelectric Tracking System with Velocity Information%雷达光电测速无偏转换误差分析及数据融合

    Institute of Scientific and Technical Information of China (English)

    王长城

    2015-01-01

    In order to improve the performance of estimation in radar-photoelectric system, we proposed a track fusion algorithm with Unbiased Converted Measurements (UCM) of velocity. First, with the information of radial velocity provided by radar and angle velocity supplied by photoelectric system, we obtained the UCM of velocity in Cartesian coordinate and analyzed the statistical properties of UCM errors. By using the information of velocity, we provided a synergistic fusion algorithm based on sequential filtering. Simulations show that the algorithm with UCM of velocity provides a better performance of tracking and improves the convergence rate of velocity estimation. Moreover, the results also offer some beneficial references for track initiator and primary assessment of threat.%为改善雷达光电跟踪系统目标运动参数估计性能,提出了一种考虑测速无偏转换的数据融合算法。基于雷达多普勒径向速度量测与光电跟踪系统角速度信息,推导了测速信息在笛卡尔坐标系下的无偏转换量测,分析了转换后量测噪声的统计特性,给出了基于解耦序贯更新滤波的数据融合算法。仿真表明,本文方法改善了目标运动参数估计精度,提高了速度分量估计误差收敛速度,研究结果亦可为航迹起始、目标威胁度初判提供参考。

  17. 基于目标特征信息融合的潜艇目标识别系统%Submarine target recognition system based on characteristics information fusion

    Institute of Scientific and Technical Information of China (English)

    李忠猛; 彭鹏菲; 邢军

    2012-01-01

    Combining with the key technologies of underwater target moving state estimation and target acoustic characteristics distillation, the elementary principle model of submarine target recognition system based on information fusion of acoustic characteristics and moving statement was put forward. Firstly, a method of detecting underwater acoustic transient signals based on power-law detection with dual-channel and the algorithm of LMS self-adaptive estimation was used. The mathematical model of target movement statement track based on orientation and time delay was built. And EKF algorithm was used to realize target movement statement track. Secondly,the principle model of extracting typical stable acoustic characteristics of submarine was also built. At last,the structure model of multiple information fusion was proposed,which is the theoretic basis of submarine target recognition system development.%结合水下目标运动状态估计和目标声特征提取的关键技术,提出了基于目标运动状态特征和声特征信息融合的潜艇目标识别基本原理.首先,采用双通道Power-law水声瞬态信号检测方法和LMS自适应时延估计算法,建立了基于方位时延的目标运动状态跟踪的数学模型,并采用EKF算法实现了水下目标运动状态估计;其次,建立了提取潜艇典型不变声特征的原理模型;最后,提出基于多目标特征信息融合的结构模型,为潜艇目标识别系统的发展奠定了理论基础.

  18. Anatomical and biochemical investigation of primary brain tumours

    Energy Technology Data Exchange (ETDEWEB)

    Del Sole, A. [Univ. di Milano (Italy); Falini, A. [Univ. Vita e Salute (Italy). IRCCS; Ravasi, L.; Ottobrini, L.; Lucignani, G. [Univ. di Milano (Italy). Ist. di Scienze Radiologiche; De Marchis, D. [Univ. di Milano-Bicocca (Italy); Bombardieri, E. [Istituto Nazionale dei Tumori, Milano (Italy)

    2001-12-01

    Cancerous transformation entails major biochemical changes including modifications of the energy metabolism of the cell, e.g. utilisation of glucose and other substrates, protein synthesis, and expression of receptors and antigens. Tumour growth also leads to heterogeneity in blood flow owing to focal necrosis, angiogenesis and metabolic demands, as well as disruption of transport mechanisms of substrates across cell membranes and other physiological boundaries such as the blood-brain barrier. All these biochemical, histological and anatomical changes can be assessed with emission tomography, X-ray computed tomography (CT), magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS). Whereas anatomical imaging is aimed at the diagnosis of brain tumours, biochemical imaging is better suited for tissue characterisation. The identification of a tumoural mass and the assessment of its size and vascularisation are best achieved with X-ray CT and MRI, while biochemical imaging can provide additional information that is crucial for tumour classification, differential diagnosis and follow-up. As the assessment of variables such as water content, appearance of cystic lesions and location of the tumour are largely irrelevant for tissue characterisation, a number of probes have been employed for the assessment of the biochemical features of tumours. Since biochemical changes may be related to the growth rate of cancer cells, they can be thought of as markers of tumour cell proliferation. Biochemical imaging with radionuclides of processes that occur at a cellular level provides information that complements findings obtained by anatomical imaging aimed at depicting structural, vascular and histological changes. This review focusses on the clinical application of anatomical brain imaging and biochemical assessment with positron emission tomography, single-photon emission tomography and MRS in the diagnosis of primary brain tumours, as well as in follow-up. (orig.)

  19. Progressive multi-atlas label fusion by dictionary evolution.

    Science.gov (United States)

    Song, Yantao; Wu, Guorong; Bahrami, Khosro; Sun, Quansen; Shen, Dinggang

    2017-02-01

    Accurate segmentation of anatomical structures in medical images is important in recent imaging based studies. In the past years, multi-atlas patch-based label fusion methods have achieved a great success in medical image segmentation. In these methods, the appearance of each input image patch is first represented by an atlas patch dictionary (in the image domain), and then the latent label of the input image patch is predicted by applying the estimated representation coefficients to the corresponding anatomical labels of the atlas patches in the atlas label dictionary (in the label domain). However, due to the generally large gap between the patch appearance in the image domain and the patch structure in the label domain, the estimated (patch) representation coefficients from the image domain may not be optimal for the final label fusion, thus reducing the labeling accuracy. To address this issue, we propose a novel label fusion framework to seek for the suitable label fusion weights by progressively constructing a dynamic dictionary in a layer-by-layer manner, where the intermediate dictionaries act as a sequence of guidance to steer the transition of (patch) representation coefficients from the image domain to the label domain. Our proposed multi-layer label fusion framework is flexible enough to be applied to the existing labeling methods for improving their label fusion performance, i.e., by extending their single-layer static dictionary to the multi-layer dynamic dictionary. The experimental results show that our proposed progressive label fusion method achieves more accurate hippocampal segmentation results for the ADNI dataset, compared to the counterpart methods using only the single-layer static dictionary.

  20. Complex anatomic variation in the brachial region.

    Science.gov (United States)

    Troupis, Th; Michalinos, A; Protogerou, V; Mazarakis, A; Skandalakis, P

    2015-01-01

    Authors describe a case of a complex anatomic variation discovered during dissection of the humeral region. On the right side, brachial artery followed a superficial course. Musculocutaneous nerve did not pierce coracobrachialis muscle but instead passed below the muscle before continuing in the forearm. On the left side, a communication between musculocutaneous and median nerve was dissected. Those variations are analytically presented with a brief review on their anatomic and clinical implications. Considerations on their embryological origin are attempted.

  1. Comparative Analysis of Various Image Fusion Techniques For Biomedical Images: A Review

    Directory of Open Access Journals (Sweden)

    Nayera Nahvi,

    2014-05-01

    Full Text Available Image Fusion is a process of combining the relevant information from a set of images, into a single image, wherein the resultant fused image will be more informative and complete than any of the input images. This paper discusses implementation of DWT technique on different images to make a fused image having more information content. As DWT is the latest technique for image fusion as compared to simple image fusion and pyramid based image fusion, so we are going to implement DWT as the image fusion technique in our paper. Other methods such as Principal Component Analysis (PCA based fusion, Intensity hue Saturation (IHS Transform based fusion and high pass filtering methods are also discussed. A new algorithm is proposed using Discrete Wavelet transform and different fusion techniques including pixel averaging, min-max and max-min methods for medical image fusion. KEYWORDS:

  2. Muon Catalyzed Fusion

    Science.gov (United States)

    Armour, Edward A.G.

    2007-01-01

    Muon catalyzed fusion is a process in which a negatively charged muon combines with two nuclei of isotopes of hydrogen, e.g, a proton and a deuteron or a deuteron and a triton, to form a muonic molecular ion in which the binding is so tight that nuclear fusion occurs. The muon is normally released after fusion has taken place and so can catalyze further fusions. As the muon has a mean lifetime of 2.2 microseconds, this is the maximum period over which a muon can participate in this process. This article gives an outline of the history of muon catalyzed fusion from 1947, when it was first realised that such a process might occur, to the present day. It includes a description of the contribution that Drachrnan has made to the theory of muon catalyzed fusion and the influence this has had on the author's research.

  3. Validity of Fusion Imaging of Hamster Heart obtained by Fluorescent and Phase-Contrast X-Ray CT with Synchrotron Radiation

    Science.gov (United States)

    Wu, J.; Takeda, T.; Lwin, Thet Thet; Huo, Q.; Sunaguchi, N.; Murakami, T.; Mouri, S.; Nasukawa, S.; Fukami, T.; Yuasa, T.; Hyodo, K.; Hontani, H.; Minami, M.; Akatsuka, T.

    2007-01-01

    Fluorescent X-ray CT (FXCT) to depict functional information and phase-contrast X-ray CT (PCCT) to demonstrate morphological information are being developed to analyze the disease model of small animal. To understand the detailed pathological state, integration of both functional and morphological image is very useful. The feasibility of image fusion between FXCT and PCCT were examined by using ex-vivo hearts injected fatty acid metabolic agent (127I-BMIPP) in normal and cardiomyopathic hamsters. Fusion images were reconstructed from each 3D image of FXCT and PCCT. 127I-BMIPP distribution within the heart was clearly demonstrated by FXCT with 0.25 mm spatial resolution. The detailed morphological image was obtained by PCCT at about 0.03 mm spatial resolution. Using image integration technique, metabolic abnormality of fatty acid in cardiomyopathic myocardium was easily recognized corresponding to anatomical structures. Our study suggests that image fusion provides important biomedical information even in FXCT and PCCT imaging.

  4. [Establishment of anatomical terminology in Japan].

    Science.gov (United States)

    Shimada, Kazuyuki

    2008-12-01

    The history of anatomical terminology in Japan began with the publication of Waran Naikei Ihan-teimŏ in 1805 and Chŏtei Kaitai Shinsho in 1826. Although the establishment of Japanese anatomical terminology became necessary during the Meiji era when many western anatomy books imported into Janan were translated, such terminology was not unified during this period and varied among translators. In 1871, Tsukumo Ono's Kaibŏgaku Gosen was published by the Ministry of Education. Although this book is considered to be the first anatomical glossary terms in Japan, its contents were incomplete. Overseas, the German Anatomical Society established a unified anatomical terminology in 1895 called the Basle Nomina Anatomica (B.N.A.). Based on this development, Kaibŏgaku Meishŭ which follows the BNA, by Buntarŏ Suzuki was published in 1905. With the subsequent establishment in 1935 of Jena Nomina Anatomica (J.N.A.), the unification of anatomical terminology was also accelerated in Japan, leading to the further development of terminology.

  5. Magnetic fusion technology

    CERN Document Server

    Dolan, Thomas J

    2014-01-01

    Magnetic Fusion Technology describes the technologies that are required for successful development of nuclear fusion power plants using strong magnetic fields. These technologies include: ? magnet systems, ? plasma heating systems, ? control systems, ? energy conversion systems, ? advanced materials development, ? vacuum systems, ? cryogenic systems, ? plasma diagnostics, ? safety systems, and ? power plant design studies. Magnetic Fusion Technology will be useful to students and to specialists working in energy research.

  6. Fusion research principles

    CERN Document Server

    Dolan, Thomas James

    2013-01-01

    Fusion Research, Volume I: Principles provides a general description of the methods and problems of fusion research. The book contains three main parts: Principles, Experiments, and Technology. The Principles part describes the conditions necessary for a fusion reaction, as well as the fundamentals of plasma confinement, heating, and diagnostics. The Experiments part details about forty plasma confinement schemes and experiments. The last part explores various engineering problems associated with reactor design, vacuum and magnet systems, materials, plasma purity, fueling, blankets, neutronics

  7. Fusion of Noisy Multi-sensor Imagery

    Directory of Open Access Journals (Sweden)

    Anima Mishra

    2008-01-01

    Full Text Available Interest in fusing multiple sensor data for both military and civil applications has beengrowing. Some of the important applications integrate image information from multiple sensorsto aid in navigation guidance, object detection and recognition, medical diagnosis, datacompression, etc. While, human beings may visually inspect various images and integrateinformation, it is of interest to develop algorithms that can fuse various input imagery to producea composite image. Fusion of images from various sensor modalities is expected to produce anoutput that captures all the relevant information in the input. The standard multi-resolution-based edge fusion scheme has been reviewed in this paper. A theoretical framework is given forthis edge fusion method by showing how edge fusion can be framed as information maximisation.However, the presence of noise complicates the situation. The framework developed is used toshow that for noisy images, all edges no longer correspond to information. In this paper, varioustechniques have been presented for fusion of noisy multi-sensor images.  These techniques aredeveloped for a single resolution as well as using multi-resolution decomposition. Some of thetechniques are based on modifying edge maps by filtering images, while others depend onalternate definition of information maps. Both these approaches can also be combined.Experiments show that the proposed algorithms work well for various kinds of noisy multi-sensor images.

  8. Information and Motion Pattern Learning and Analysis Using Neural Techniques

    Science.gov (United States)

    2009-02-28

    development and application of neural models for higher-level information fusion at Levels 2+/3 according to the JDL Data Fusion Group Process Model. We...application of neural models for higher-level information fusion at Levels 2+/3 according to the JDL Data Fusion Group Process Model. We explored several...and application of neural models of information fusion at Levels 2+/3 according to the JDL Data Fusion Group Process Model (Figure 1) [1, 2]. We

  9. Multisensor image fusion guidelines in remote sensing

    Science.gov (United States)

    Pohl, C.

    2016-04-01

    Remote sensing delivers multimodal and -temporal data from the Earth's surface. In order to cope with these multidimensional data sources and to make the most of them, image fusion is a valuable tool. It has developed over the past few decades into a usable image processing technique for extracting information of higher quality and reliability. As more sensors and advanced image fusion techniques have become available, researchers have conducted a vast amount of successful studies using image fusion. However, the definition of an appropriate workflow prior to processing the imagery requires knowledge in all related fields - i.e. remote sensing, image fusion and the desired image exploitation processing. From the findings of this research it can be seen that the choice of the appropriate technique, as well as the fine-tuning of the individual parameters of this technique, is crucial. There is still a lack of strategic guidelines due to the complexity and variability of data selection, processing techniques and applications. This paper gives an overview on the state-of-the-art in remote sensing image fusion including sensors and applications. Putting research results in image fusion from the past 15 years into a context provides a new view on the subject and helps other researchers to build their innovation on these findings. Recommendations of experts help to understand further needs to achieve feasible strategies in remote sensing image fusion.

  10. Magnetic fusion reactor economics

    Energy Technology Data Exchange (ETDEWEB)

    Krakowski, R.A.

    1995-12-01

    An almost primordial trend in the conversion and use of energy is an increased complexity and cost of conversion systems designed to utilize cheaper and more-abundant fuels; this trend is exemplified by the progression fossil fission {yields} fusion. The present projections of the latter indicate that capital costs of the fusion ``burner`` far exceed any commensurate savings associated with the cheapest and most-abundant of fuels. These projections suggest competitive fusion power only if internal costs associate with the use of fossil or fission fuels emerge to make them either uneconomic, unacceptable, or both with respect to expensive fusion systems. This ``implementation-by-default`` plan for fusion is re-examined by identifying in general terms fusion power-plant embodiments that might compete favorably under conditions where internal costs (both economic and environmental) of fossil and/or fission are not as great as is needed to justify the contemporary vision for fusion power. Competitive fusion power in this context will require a significant broadening of an overly focused program to explore the physics and simbiotic technologies leading to more compact, simplified, and efficient plasma-confinement configurations that reside at the heart of an attractive fusion power plant.

  11. Magnetic-confinement fusion

    Science.gov (United States)

    Ongena, J.; Koch, R.; Wolf, R.; Zohm, H.

    2016-05-01

    Our modern society requires environmentally friendly solutions for energy production. Energy can be released not only from the fission of heavy nuclei but also from the fusion of light nuclei. Nuclear fusion is an important option for a clean and safe solution for our long-term energy needs. The extremely high temperatures required for the fusion reaction are routinely realized in several magnetic-fusion machines. Since the early 1990s, up to 16 MW of fusion power has been released in pulses of a few seconds, corresponding to a power multiplication close to break-even. Our understanding of the very complex behaviour of a magnetized plasma at temperatures between 150 and 200 million °C surrounded by cold walls has also advanced substantially. This steady progress has resulted in the construction of ITER, a fusion device with a planned fusion power output of 500 MW in pulses of 400 s. ITER should provide answers to remaining important questions on the integration of physics and technology, through a full-size demonstration of a tenfold power multiplication, and on nuclear safety aspects. Here we review the basic physics underlying magnetic fusion: past achievements, present efforts and the prospects for future production of electrical energy. We also discuss questions related to the safety, waste management and decommissioning of a future fusion power plant.

  12. Frontiers in fusion research

    CERN Document Server

    Kikuchi, Mitsuru

    2011-01-01

    Frontiers in Fusion Research provides a systematic overview of the latest physical principles of fusion and plasma confinement. It is primarily devoted to the principle of magnetic plasma confinement, that has been systematized through 50 years of fusion research. Frontiers in Fusion Research begins with an introduction to the study of plasma, discussing the astronomical birth of hydrogen energy and the beginnings of human attempts to harness the Sun's energy for use on Earth. It moves on to chapters that cover a variety of topics such as: * charged particle motion, * plasma kinetic theory, *

  13. Anatomical Mercury: Changing Understandings of Quicksilver, Blood, and the Lymphatic System, 1650-1800.

    Science.gov (United States)

    Hendriksen, Marieke M A

    2015-10-01

    The use of mercury as an injection mass in anatomical experiments and preparations was common throughout Europe in the long eighteenth century, and refined mercury-injected preparations as well as plates of anatomical mercury remain today. The use and meaning of mercury in related disciplines such as medicine and chemistry in the same period have been studied, but our knowledge of anatomical mercury is sparse and tends to focus on technicalities. This article argues that mercury had a distinct meaning in anatomy, which was initially influenced by alchemical and classical understandings of mercury. Moreover, it demonstrates that the choice of mercury as an anatomical injection mass was deliberate and informed by an intricate cultural understanding of its materiality, and that its use in anatomical preparations and its perception as an anatomical material evolved with the understanding of the circulatory and lymphatic systems. By using the material culture of anatomical mercury as a starting point, I seek to provide a new, object-driven interpretation of complex and strongly interrelated historiographical categories such as mechanism, vitalism, chemistry, anatomy, and physiology, which are difficult to understand through a historiography that focuses exclusively on ideas.

  14. 信息资源管理与云服务融合模式探究%Study on fusion content and service mode of information resource management and service cloud

    Institute of Scientific and Technical Information of China (English)

    蔡丽霞

    2015-01-01

    目前“云计算”技术正在随着信息技术的快速发展而悄然兴起,首先深入地分析了信息资源管理与云服务融合的内涵,其次,就信息资源管理云服务模式的分类进行了较为深入的探讨,得出结论:信息资源管理与云服务的融合是面向自主需求和泛在服务、强调用户参与的信息资源管理过程的体现,也是信息资源管理集约化、规模化、数字化、网络化的新发展,以实现普适化、服务化、智能化、绿色化为重要目标,具有一定的参考价值。%At present,the "cloud computing" technology is with the rapid development of information technology and sadly arisen,the paper firstly analyzes the connotation,information resource management and service cloud fusion secondly,for a more in-depth discussion on the classification of information resources management service cloud model,It concluded that: the integration of information resources management and cloud services are self-oriented demand and ubiquitous services,emphasizing user participation reflects information resources management process,but also the development of new information resources management intensive,large-scale,digital,networked to achieve universal,service,intelligent,green as an important goal,which has a certain reference value.

  15. State fusion with unknown correlation: ellipsoidal intersection

    NARCIS (Netherlands)

    Sijs, J.; Lazar, M.; Bosch, P.P.J. van den

    2010-01-01

    Some crucial challenges of estimation over sensor networks are reaching consensus on the estimates of different systems in the network and separating the mutual information of two estimates from their exclusive information. Current fusion methods of two estimates tend to bypass the mutual informatio

  16. Cleaning Robot Localization Studies Based on Optimization of Heterogeneous BP Neural Network Information Fusion%基于优化异质BP神经网络信息融合的清洁机器人定位研究

    Institute of Scientific and Technical Information of China (English)

    张飞; 耿红琴

    2014-01-01

    清洁机器人的移动定位是个复杂的非线性定位的问题,精密机械结构与路径规划无法补偿定位不精确造成的移动误差,提出一种基于异质 RBF神经网络信息融合的清洁机器人定位技术,设计了智能机器人的控制系统、移动系统和感知系统,设计多个位姿传感器后,实时采集位置信息,在主控芯片中使用粒子群优化神经网络技术对多传感器的信息进行融合,计算清洁机器人的位置信息,解决了位置因素非线性强,定位误差大的问题,并且有效提高了神经网络的局部收敛能力;使用机器人多传感器的实验平台测试证明,这种方法下清洁机器人的移动中定位准确率较传统方法提高13%,具有很强的可靠性与实用性。%The orientation of the movement of the Clean robot is a complex nonlinear problem,structure and path planning can not com-pensate positioning precision machinery movement error caused by inaccurate,put forward a kind of cleaning robot localization based on het-erogeneous RBF neural network information fusion technology,intelligent robot control system is designed and perception system,moving system,design more bits after posture sensor,real-time collecting location information,in the main control chip,using particle swarm opti-mization neural network technology of multi-sensor information fusion,the calculation of the cleaning robot position information,to solve the nonlinear strong location factors,the problem of large positioning error,and effectively improve the local convergence ability of neural network.Using robot multi-sensor experimental platform to test proved that under this kind of method the clean mobile robot positioning accuracy increased by 13%than the traditional methods,have very strong reliability and practicability.

  17. Fire hazard analysis for fusion energy experiments

    Energy Technology Data Exchange (ETDEWEB)

    Alvares, N.J.; Hasegawa, H.K.

    1979-01-01

    The 2XIIB mirror fusion facility at Lawrence Livermore Laboratory (LLL) was used to evaluate the fire safety of state-of-the-art fusion energy experiments. The primary objective of this evaluation was to ensure the parallel development of fire safety and fusion energy technology. Through fault-tree analysis, we obtained a detailed engineering description of the 2XIIB fire protection system. This information helped us establish an optimum level of fire protection for experimental fusion energy facilities as well as evaluate the level of protection provided by various systems. Concurrently, we analyzed the fire hazard inherent to the facility using techniques that relate the probability of ignition to the flame spread and heat-release potential of construction materials, electrical and thermal insulations, and dielectric fluids. A comparison of the results of both analyses revealed that the existing fire protection system should be modified to accommodate the range of fire hazards inherent to the 2XIIB facility.

  18. Cell fusion and nuclear fusion in plants.

    Science.gov (United States)

    Maruyama, Daisuke; Ohtsu, Mina; Higashiyama, Tetsuya

    2016-12-01

    Eukaryotic cells are surrounded by a plasma membrane and have a large nucleus containing the genomic DNA, which is enclosed by a nuclear envelope consisting of the outer and inner nuclear membranes. Although these membranes maintain the identity of cells, they sometimes fuse to each other, such as to produce a zygote during sexual reproduction or to give rise to other characteristically polyploid tissues. Recent studies have demonstrated that the mechanisms of plasma membrane or nuclear membrane fusion in plants are shared to some extent with those of yeasts and animals, despite the unique features of plant cells including thick cell walls and intercellular connections. Here, we summarize the key factors in the fusion of these membranes during plant reproduction, and also focus on "non-gametic cell fusion," which was thought to be rare in plant tissue, in which each cell is separated by a cell wall.

  19. 广电云“父母乐”智能融合系统%The“Happy Parents”Intelligent Fusion System over Guizhou Broadcasting and Television Information Cloud

    Institute of Scientific and Technical Information of China (English)

    曾敬鸿; 朱迪; 邓姮; 聂虹; 朱蕊

    2016-01-01

    The “Happy Parents” Intelligent Fusion System over Guizhou Broadcasting and Television Informa-tion Cloud is the first intelligent application product focused on the aging society. This system works around the core requirements of aging people, providing a user friendly experience with frontier technologies such as big data analy-sis and cloud computing. The Intelligent Fusion System contains Media Center, Network Access Center, and Family Intelligence Center all in one to make the transformation from unit to multi services on SARFT business. As a great innovation with traditional media and new media in Gui Zhou, this Intelligent Fusion System offers the society full services around family entertainment, intelligent healthcare, intelligent social services and many other services.%为提升广电网络的综合服务能力,实现高度人性化的用户体验,贵州省广播电视信息网络股份有限公司结合目标用户特性,以中老年用户群体的需求为核心,研发并建设了广电云“父母乐”智能融合系统。该系统综合运用智能终端技术、大数据分析、云计算等前沿技术,打造了广电行业首款服务于老龄化社会的智能终端产品。系统集家庭媒体中心、网络中心、智能中心于一体,为用户全面提供家庭娱乐、智慧健康、智慧社区等信息服务,是广电网络实践传统媒体与新媒体融合的创新举措。

  20. 外P-隐性信息与它的生成-融合%Outer P-Recessive Information and Its Generation-Fusion

    Institute of Scientific and Technical Information of China (English)

    张环理; 贾丹

    2014-01-01

    P-set is a set pair made up of internal P-set X-Fand outer P-set XF,or (X-)F, XFis P-set. The biology concept of“recessiveness”“dominance”and outer P-information crossed and grafted,the paper gets that P-set has both dominant and recessive characteristics. With the researching on the recessive characteristics of outer P-set , the paper provides the concept of outer P-recessive information and dominant information,gives outer P-recessive information characteristics and outer P-reasoning generation theorem,outer P-reasoning search algorithm of outer P-recessive information. Finally the paper gives the application of outer P-recessive information in dynamic information mining.%P-集合(packet set)是由内P-集合X-F(internal packet set X-F )与外P-集合XF(outer packet set XF)构成的集合对,或者(XF,XF)是P-集合。把生物学中“隐性”,“显性”概念与外P-信息交叉、嫁接,得到P-集合具有显性、隐性特征;对外P-集合的隐性特征进行研究,提出了外P-隐性信息、显性信息等概念,给出了外P-隐性信息特征与外P-推理生成定理,给出了外P-隐性信息的外P-推理搜索算法;最后给出外P-隐性信息在动态信息挖掘中的应用。

  1. Nuclear fusion inside condense matters

    Institute of Scientific and Technical Information of China (English)

    HE Jing-tang

    2007-01-01

    This article describes in detail the nuclear fusion inside condense matters--the Fleischmann-Pons effect, the reproducibility of cold fusions, self-consistentcy of cold fusions and the possible applications.

  2. Maglev Train Position Detection Based on Information Fusion of Particle Filter Algorithm%基于粒子滤波算法信息融合的磁悬浮列车定位研究

    Institute of Scientific and Technical Information of China (English)

    熊春红; 李晓龙; 韩静茹

    2015-01-01

    In order to improve the operation safety and efficiency of the maglev train, multi-sensor information fu⁃sion technology is adopted in low-speed maglev trains speed positioning. The relative positioning is realized by the radar and cross induction coil, and the absolute positioning is conducted by the balise. Particle filter algorithm is used to analyze the low-speed maglev train speed positioning accuracy and reliability, and MATLAB simulation is then adopted to verify the results. It maintains that the fusion structure and fusion algorithm effectively improve the positioning accuracy of the train by exploring the error effect caused by random noise.%为提高磁悬浮列车的行车安全和效率,采用多传感器信息融合技术对中低速磁悬浮列车进行测速定位,以交叉感应回线测速定位和雷达传感器对进行相对定位,以查询应答器来实现绝对定位。利用粒子滤波算法对中低速磁悬浮列车测速定位的精度和可靠性进行分析,并用MATLAB仿真进行验证,证明该融合结构和融合算法能够提高列车的定位精度。

  3. Map Building for Underwater Vehicle Based on D-S Information Fusion Algorithm%基于D-S信息融合的水下机器人地图构建

    Institute of Scientific and Technical Information of China (English)

    朱大奇; 李伟崇; 颜明重

    2012-01-01

    针对未知动态环境中自治水下机器人(Autonomous Underwater Vehicle,AUV)的路径规划问题,给出一种基 于D-S (Shafer-Dempster)信息融合的水下栅格地图构建算法.首先通过建立一个声纳传感器模型,将声纳数据转换成栅格的信度函数分配值;接着应用D-S证据理论信息融合算法更新地图数据,从而构建出水下动态栅格地图;最后通过真实地图与融合构建地图比较,说明D-S融合算法在地图构建中的可行性.%For the path planning of Autonomous Underwater Vehicle in unknown environment, a gird map building method based on the D-S information fusion algorithm is given. Firstly, based on the establishment of an ultrasonic sensor model, the assigned gird certainty value is gotten by using the sonar data; then update the map by using D-S ( Shafer-Dempster) evidential theory, and the dynamic underwater gird map is built; finally by comparing the real map with the fused map, it is shown that the fusion algorithm is proved to be effective and feasibility in map building.

  4. 基于深度学习与融入梯度信息的人脸姿态分类检测%Pose Classification of Human Face Based on Deep Learning and Gradient Information Fusion

    Institute of Scientific and Technical Information of China (English)

    苏铁明; 程福运; 韩兆翠; 欧宗瑛

    2016-01-01

    针对人脸姿态分类问题,本文提出了一种基于深度学习与融入梯度信息的人脸姿态分类学习方法。首先提取人脸姿态图像灰度与灰度差组合特征,然后通过三层受限玻尔兹曼机(Restricted Boltz-mann machines,RBM)对大量样本的特征进行融合训练学习,提取反映人脸姿态内涵的深度学习特征。最后通过Softmax分类器建立深度学习特征与人脸姿态标签的对应关系。在对 CAS-PEAL-R1人脸数据库进行学习和分类检测中,获得普遍高于95%的分类精度。%Aiming at upgrading the performance of face pose classification,we proposed an algorithm of face pose classification based on deep learning and gradient information fusion.First,the pixel gray in-tensity features and the features of gray intensity difference nearby each pixel from a face image are ex-tracted.Then,these features of face images are processed with deep learning technique through a dedica-ted three-layer restricted Boltzmann machines network,which has been trained by a large number of samples.Finally,a corresponding relation between fusion deep learning features and the labels of face pose classifications is built through a Softmax classifier.The experiment results show that the proposed algorithm achieves a state of the art classification accuracy,generally higher than 9 5%,when learning and testing on CAS-PEAL-R1 face database.

  5. Anatomical evaluation of CT-MRI combined femoral model

    Directory of Open Access Journals (Sweden)

    Kim Gyu-Ha

    2008-01-01

    Full Text Available Abstract Background Both CT and MRI are complementary to each other in that CT can produce a distinct contour of bones, and MRI can show the shape of both ligaments and bones. It will be ideal to build a CT-MRI combined model to take advantage of complementary information of each modality. This study evaluated the accuracy of the combined femoral model in terms of anatomical inspection. Methods Six normal porcine femora (180 ± 10 days, 3 lefts and 3 rights with ball markers were scanned by CT and MRI. The 3D/3D registration was performed by two methods, i.e. the landmark-based 3 points-to-3 points and the surface matching using the iterative closest point (ICP algorithm. The matching accuracy of the combined model was evaluated with statistical global deviation and locally measure anatomical contour-based deviation. Statistical analysis to assess any significant difference between accuracies of those two methods was performed using univariate repeated measures ANOVA with the Turkey post hoc test. Results This study revealed that the local 2D contour-based measurement of matching deviation was 0.5 ± 0.3 mm in the femoral condyle, and in the middle femoral shaft. The global 3D contour matching deviation of the landmark-based matching was 1.1 ± 0.3 mm, but local 2D contour deviation through anatomical inspection was much larger as much as 3.0 ± 1.8 mm. Conclusion Even with human-factor derived errors accumulated from segmentation of MRI images, and limited image quality, the matching accuracy of CT-&-MRI combined 3D models was 0.5 ± 0.3 mm in terms of local anatomical inspection.

  6. Complementary Advanced Fusion Exploration

    Science.gov (United States)

    2005-08-01

    homographic computer vision image fusion, out-of-sequence measurement and track data handling, Nash bargaining approaches to sensor management... homographic fusion notions are identified together with the Nash approach, the pursuit-evasion approach to threat situation outcome determination, and the

  7. Fusion helps diversification

    NARCIS (Netherlands)

    S. Liang; Z. Ren; M. de Rijke

    2014-01-01

    A popular strategy for search result diversification is to first retrieve a set of documents utilizing a standard retrieval method and then rerank the results. We adopt a different perspective on the problem, based on data fusion. Starting from the hypothesis that data fusion can improve performance

  8. Fusion of biological membranes

    Indian Academy of Sciences (India)

    K Katsov; M Müller; M Schick

    2005-06-01

    The process of membrane fusion has been examined by Monte Carlo simulation, and is found to be very different than the conventional picture. The differences in mechanism lead to several predictions, in particular that fusion is accompanied by transient leakage. This prediction has recently been verified. Self-consistent field theory is applied to examine the free energy barriers in the different scenarios.

  9. Controlled thermonuclear fusion

    CERN Document Server

    Bobin, Jean Louis

    2014-01-01

    The book is a presentation of the basic principles and main achievements in the field of nuclear fusion. It encompasses both magnetic and inertial confinements plus a few exotic mechanisms for nuclear fusion. The state-of-the-art regarding thermonuclear reactions, hot plasmas, tokamaks, laser-driven compression and future reactors is given.

  10. Response to FESAC survey, non-fusion connections to Fusion Energy Sciences. Applications of the FES-supported beam and plasma simulation code, Warp

    Energy Technology Data Exchange (ETDEWEB)

    Friedman, A. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Grote, D. P. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Vay, J. L. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2015-05-29

    The Fusion Energy Sciences Advisory Committee’s subcommittee on non-fusion applications (FESAC NFA) is conducting a survey to obtain information from the fusion community about non-fusion work that has resulted from their DOE-funded fusion research. The subcommittee has requested that members of the community describe recent developments connected to the activities of the DOE Office of Fusion Energy Sciences. Two questions in particular were posed by the subcommittee. This document contains the authors’ responses to those questions.

  11. Distributed fusion estimation for sensor networks with communication constraints

    CERN Document Server

    Zhang, Wen-An; Song, Haiyu; Yu, Li

    2016-01-01

    This book systematically presents energy-efficient robust fusion estimation methods to achieve thorough and comprehensive results in the context of network-based fusion estimation. It summarizes recent findings on fusion estimation with communication constraints; several novel energy-efficient and robust design methods for dealing with energy constraints and network-induced uncertainties are presented, such as delays, packet losses, and asynchronous information... All the results are presented as algorithms, which are convenient for practical applications.

  12. A NOVEL REGION FEATURE USED IN MULTISENSOR IMAGE FUSION

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    A new region feature which emphasized the salience of target region and its neighbors is proposed.In region segmentation-based multisensor image fusion scheme, the presented feature can be extracted from each segmented region to determine the fusion weight. Experimental results demonstrate that the proposed feature has extensive application scope and it provides much more information for each region. It can not only be used in image fusion but also be used in other image processing applications.

  13. The relationship of anatomical and functional connectivity to resting-state connectivity in primate somatosensory cortex.

    Science.gov (United States)

    Wang, Zheng; Chen, Li Min; Négyessy, László; Friedman, Robert M; Mishra, Arabinda; Gore, John C; Roe, Anna W

    2013-06-19

    Studies of resting-state activity in the brain have provoked critical questions about the brain's functional organization, but the biological basis of this activity is not clear. Specifically, the relationships between interregional correlations in resting-state measures of activity, neuronal functional connectivity and anatomical connectivity are much debated. To investigate these relationships, we have examined both anatomical and steady-state functional connectivity within the hand representation of primary somatosensory cortex (areas 3b and 1) in anesthetized squirrel monkeys. The comparison of three data sets (fMRI, electrophysiological, and anatomical) indicate two primary axes of information flow within the SI: prominent interdigit interactions within area 3b and predominantly homotopic interactions between area 3b and area 1. These data support a strikingly close relationship between baseline functional connectivity and anatomical connections. This study extends findings derived from large-scale cortical networks to the realm of local millimeter-scale networks.

  14. Employment of the anatomical terminology of the Nomina Anatomica in the radiologic literature.

    Science.gov (United States)

    Grignon, B; Roland, J; Braun, M

    1995-01-01

    The purpose of this paper was to assess the relationship of the anatomical terms employed in the radiologic literature to the International Nomenclature derived from the Nomina Anatomica. A critical analysis was made of the anatomical terminology employed in three French and two American journals of radiology. In about 40% of the French journals, the International Anatomical Nomenclature was not adhered to, whereas in 50%, there was no difference in the terms encountered between the French traditional terminology and the French adaptation of the Nomina Anatomica. In contrast, a close adherence to the Nomina Anatomica was observed in the two American journals. The exceptions most frequently encountered are detailed. The aim and principles of the Nomina Anatomica, based on the Latin terminology and aimed at clarification and systematisation, are stressed. The advantages of employing the International Anatomical Nomenclature in medical papers, allowing easy understanding by foreign readers in a world of rapid information exchange are highlighted.

  15. Collaborative regression-based anatomical landmark detection

    Science.gov (United States)

    Gao, Yaozong; Shen, Dinggang

    2015-12-01

    Anatomical landmark detection plays an important role in medical image analysis, e.g. for registration, segmentation and quantitative analysis. Among the various existing methods for landmark detection, regression-based methods have recently attracted much attention due to their robustness and efficiency. In these methods, landmarks are localised through voting from all image voxels, which is completely different from the classification-based methods that use voxel-wise classification to detect landmarks. Despite their robustness, the accuracy of regression-based landmark detection methods is often limited due to (1) the inclusion of uninformative image voxels in the voting procedure, and (2) the lack of effective ways to incorporate inter-landmark spatial dependency into the detection step. In this paper, we propose a collaborative landmark detection framework to address these limitations. The concept of collaboration is reflected in two aspects. (1) Multi-resolution collaboration. A multi-resolution strategy is proposed to hierarchically localise landmarks by gradually excluding uninformative votes from faraway voxels. Moreover, for informative voxels near the landmark, a spherical sampling strategy is also designed at the training stage to improve their prediction accuracy. (2) Inter-landmark collaboration. A confidence-based landmark detection strategy is proposed to improve the detection accuracy of ‘difficult-to-detect’ landmarks by using spatial guidance from ‘easy-to-detect’ landmarks. To evaluate our method, we conducted experiments extensively on three datasets for detecting prostate landmarks and head & neck landmarks in computed tomography images, and also dental landmarks in cone beam computed tomography images. The results show the effectiveness of our collaborative landmark detection framework in improving landmark detection accuracy, compared to other state-of-the-art methods.

  16. Multiexpandable cage for minimally invasive posterior lumbar interbody fusion

    Science.gov (United States)

    Coe, Jeffrey D; Zucherman, James F; Kucharzyk, Donald W; Poelstra, Kornelis A; Miller, Larry E; Kunwar, Sandeep

    2016-01-01

    The increasing adoption of minimally invasive techniques for spine surgery in recent years has led to significant advancements in instrumentation for lumbar interbody fusion. Percutaneous pedicle screw fixation is now a mature technology, but the role of expandable cages is still evolving. The capability to deliver a multiexpandable interbody cage with a large footprint through a narrow surgical cannula represents a significant advancement in spinal surgery technology. The purpose of this report is to describe a multiexpandable lumbar interbody fusion cage, including implant characteristics, intended use, surgical technique, preclinical testing, and early clinical experience. Results to date suggest that the multiexpandable cage allows a less invasive approach to posterior/transforaminal lumbar interbody fusion surgery by minimizing iatrogenic risks associated with static or vertically expanding interbody prostheses while providing immediate vertebral height restoration, restoration of anatomic alignment, and excellent early-term clinical results. PMID:27729817

  17. Three-corner wrist fusion using memory staples.

    Science.gov (United States)

    van Riet, Roger P; Bain, Gregory I

    2006-12-01

    Scapholunate dissociation with advanced collapse (SLAC), scaphoid nonunion advanced collapse (SNAC), and lunotriquetral advanced collapse (LTAC) of the carpus are challenging problems. Various treatment options have been described. We describe a technique of 3-corner wrist fusion, using memory staples. The scaphoid and triquetrum are resected, and the capitate is fused to the lunate. Articular cartilage is removed from the capitolunate joint, and the bones are shaped to conforming surfaces. Bone graft from the resected triquetrum and scaphoid is used to increase fusion rate and a dynamic compressive fixation force is applied due to the unique properties of the memory staples. The main advantages of this procedure include the following: retained anatomical articulation between the lunate and the lunate fossa on the radius, improved ulnar deviation due to the resection of the triquetrum, and an excellent fusion rate between the lunate and capitate due to the dynamic fixation, the conforming surfaces, and the use of autologous bone graft.

  18. Compact fusion reactors

    CERN Document Server

    CERN. Geneva

    2015-01-01

    Fusion research is currently to a large extent focused on tokamak (ITER) and inertial confinement (NIF) research. In addition to these large international or national efforts there are private companies performing fusion research using much smaller devices than ITER or NIF. The attempt to achieve fusion energy production through relatively small and compact devices compared to tokamaks decreases the costs and building time of the reactors and this has allowed some private companies to enter the field, like EMC2, General Fusion, Helion Energy, Lawrenceville Plasma Physics and Lockheed Martin. Some of these companies are trying to demonstrate net energy production within the next few years. If they are successful their next step is to attempt to commercialize their technology. In this presentation an overview of compact fusion reactor concepts is given.

  19. Lateral laryngopharyngeal diverticulum: anatomical and videofluoroscopic study

    Energy Technology Data Exchange (ETDEWEB)

    Costa, Milton Melciades Barbosa [Universidade Federal do Rio de Janeiro ICB/CCS/UFRJ, Laboratorio de Motilidade Digestiva e Imagem, S. F1-008, Departamento de Anatomia, Rio de Janeiro (Brazil); Koch, Hilton Augusto [Universidade Federal do Rio de Janeiro ICB/CCS/UFRJ, Departamento de Radiologia, Rio de Janeiro (Brazil)

    2005-07-01

    The aims were to characterize the anatomical region where the lateral laryngopharyngeal protrusion occurs and to define if this protrusion is a normal or a pathological entity. This protrusion was observed on frontal contrasted radiographs as an addition image on the upper portion of the laryngopharynx. We carried out a plane-by-plane qualitative anatomical study through macroscopic and mesoscopic surgical dissection on 12 pieces and analyzed through a videofluoroscopic method on frontal incidence the pharyngeal phase of the swallowing process of 33 patients who had a lateral laryngopharyngeal protrusion. The anatomical study allowed us to identify the morphological characteristics that configure the high portion of the piriform recess as a weak anatomical point. The videofluoroscopic study allowed us to observe the laryngopharyngeal protrusion and its relation to pharyngeal repletion of the contrast medium. All kinds of the observed protrusions could be classified as ''lateral laryngopharyngeal diverticula.'' The lateral diverticula were more frequent in older people. These lateral protrusions can be found on one or both sides, usually with a small volume, without sex or side prevalence. This formation is probably a sign of a pharyngeal transference difficulty associated with a deficient tissue resistance in the weak anatomical point of the high portion of the piriform recess. (orig.)

  20. PREVALENCE OF ANATOMIC VARIATIONS IN CHRONIC RHINOSINUSITIS.

    Directory of Open Access Journals (Sweden)

    Shrikrishna

    2013-03-01

    Full Text Available ABSTRACT: OBJECTIVE: To determine the prevalence of anatomic variations in patients suffering from chronic rhinosinusitis (CRS and to compare them with normal population. DESIGN: This is a case control study. A prospective s tudy of anatomic variations was done on 100 computed tomography (CT scans of patients with chronic rhinosinusitis. Prevalence of anatomic variations in control group was assessed by studying 100 CT scans of non- CRS patients. RESULTS: Even though proportion of concha bullosa was more among chronic rhinosinusitis patients compared to normal individual s, it was statistically not significant. There was no significant difference in the prevalence of pa radoxical middle turbinate, retroverted uncinate process, overpneumatized ethmoid bulla and s eptal deviation in chronic rhinosinusitis patients compared to normal individuals. There was s ignificantly lesser proportion of individuals having haller cells and agger nasi cell s in chronic rhinosinusitis compared to normal individuals. CONCLUSION: There is no significant prevalence of anatomic vari ations in osteomeatal unit in patients with chronic rhinosinus itis. The anatomic variations may predispose to pathological changes only if they are bi gger in size. More detailed studies are recommended in this regard as a good knowledge of c omplex anatomy of the paranasal sinuses is essential to understand chronic rhinosinusitis a nd to plan its treatment

  1. Anatomical eponyms - unloved names in medical terminology.

    Science.gov (United States)

    Burdan, F; Dworzański, W; Cendrowska-Pinkosz, M; Burdan, M; Dworzańska, A

    2016-01-01

    Uniform international terminology is a fundamental issue of medicine. Names of various organs or structures have developed since early human history. The first proper anatomical books were written by Hippocrates, Aristotle and Galen. For this reason the modern terms originated from Latin or Greek. In a modern time the terminology was improved in particular by Vasalius, Fabricius and Harvey. Presently each known structure has internationally approved term that is explained in anatomical or histological terminology. However, some elements received eponyms, terms that incorporate the surname of the people that usually describe them for the first time or studied them (e.g., circle of Willis, follicle of Graff, fossa of Sylvious, foramen of Monro, Adamkiewicz artery). Literature and historical hero also influenced medical vocabulary (e.g. Achilles tendon and Atlas). According to various scientists, all the eponyms bring colour to medicine, embed medical traditions and culture to our history but lack accuracy, lead of confusion, and hamper scientific discussion. The current article presents a wide list of the anatomical eponyms with their proper anatomical term or description according to international anatomical terminology. However, since different eponyms are used in various countries, the list could be expanded.

  2. Anatomic Breast Coordinate System for Mammogram Analysis

    DEFF Research Database (Denmark)

    Karemore, Gopal Raghunath; Brandt, S; Karssemeijer, N;

    2011-01-01

    inside the breast. Most of the risk assessment and CAD modules use a breast region in a image centered Cartesian x,y coordinate system. Nevertheless, anatomical structure follows curve-linear trajectories. We examined an anatomical breast coordinate system that preserves the anatomical correspondence...... between the mammograms and allows extracting not only the aligned position but also the orientation aligned with the anatomy of the breast tissue structure. Materials and Methods The coordinate system used the nipple location as the point A and the border of the pectoral muscle as a line BC. The skin air...... was represented by geodesic distance (s) from nipple and parametric angle (¿) as shown in figure 1. The scoring technique called MTR (mammographic texture resemblance marker) used this breast coordinate system to extract Gaussian derivative features. The features extracted using the (x,y) and the curve...

  3. Data Fusion in Underwater Environment

    Directory of Open Access Journals (Sweden)

    K.Lakshmi Prasanna

    2016-02-01

    Full Text Available Submarines and Ships of this time are furnished with multi sensors (structure mounted array, towed array and so forth., making them contemporary in following multi focuses in submerged environment. This paper elucidates Data Fusion calculations, taking into account multi-sensor target information of stages in the arrangement adrift. Two-dimensional following is grasped utilizing Modified Gain Bearings just Extended Kalman Filter in each accessible channel. In this methodology, every sensor utilizes one estimator to remove a state vector and its related covariance grid from its separate sensor estimations. Every channel yield is transmitted over an information connection to combination focus, where track-to-track relationship and state vector combination are performed following composite target state vector. Sonar information Pre-handling diminishs the clamor adequacy, gets difference of the uproarious information, embeds missed heading with evaluated direction and gives assessed orientation if there should arise an occurrence of missed or erroneous bearing estimations.

  4. Standardized anatomic space for abdominal fat quantification

    Science.gov (United States)

    Tong, Yubing; Udupa, Jayaram K.; Torigian, Drew A.

    2014-03-01

    The ability to accurately measure subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) from images is important for improved assessment and management of patients with various conditions such as obesity, diabetes mellitus, obstructive sleep apnea, cardiovascular disease, kidney disease, and degenerative disease. Although imaging and analysis methods to measure the volume of these tissue components have been developed [1, 2], in clinical practice, an estimate of the amount of fat is obtained from just one transverse abdominal CT slice typically acquired at the level of the L4-L5 vertebrae for various reasons including decreased radiation exposure and cost [3-5]. It is generally assumed that such an estimate reliably depicts the burden of fat in the body. This paper sets out to answer two questions related to this issue which have not been addressed in the literature. How does one ensure that the slices used for correlation calculation from different subjects are at the same anatomic location? At what anatomic location do the volumes of SAT and VAT correlate maximally with the corresponding single-slice area measures? To answer these questions, we propose two approaches for slice localization: linear mapping and non-linear mapping which is a novel learning based strategy for mapping slice locations to a standardized anatomic space so that same anatomic slice locations are identified in different subjects. We then study the volume-to-area correlations and determine where they become maximal. We demonstrate on 50 abdominal CT data sets that this mapping achieves significantly improved consistency of anatomic localization compared to current practice. Our results also indicate that maximum correlations are achieved at different anatomic locations for SAT and VAT which are both different from the L4-L5 junction commonly utilized.

  5. 基于多信息融合的番茄冠层水分诊断%Water moisture diagnosis of tomato canopy based on multi-information fusion

    Institute of Scientific and Technical Information of China (English)

    高洪燕; 毛罕平; 张晓东; 孙俊

    2012-01-01

    In order to accurately, rapidly and stably determine the moisture content of tomatoes and fully detect water stress degree, the multi-information fusion of the reflection spectrum, multi-spectral images, canopy temperature, environmental temperature and humidity were used to judge the water stress. After removing the noise wavelengths and correlation analysis, 950-1 080, 1 170-1 300, 1 370-1 500, 1 600-1 730 and 1 860-1 980 nm wave bands were selected. Bands of 1026, 1247, 1431, 1640 and 1910 nm were as the features using the stepwise regression. The 3×3 window median filter and the Otsu segmented were applied by IR and G images, finally the average gray was calculated. Combined with canopy temperature, environmental temperature and humidity, the CWSI was established. The five characteristic wavelengths, IR and G images average gray and CWSI as multi-information fusions parameters, the analysis and verification results obtained by PLS-ANN were correlation coefficient 0.9364, the root mean square error 10.6713, mean error 7.6714%, fitting equation slope 0.9615. It showed that the evaluations of the multi-information fusion model were better than those of the model represented by single sensor.%为精确、快速、稳定地测定番茄植株含水率并能全面检测其水分胁迫程度,该文通过将番茄冠层的反射光谱、多光谱图像、冠层温度特征及环境温湿度进行多信息融合,评判其水分胁迫状况.通过去除冠层光谱噪声波长,并进行相关性分析,确定950~1 080nm、1 170~1 300nm、1 370~1 500nm、1 600~1 730nm和1 860~1 980nm为5个相关性较高的波段,并利用逐步回归,进一步筛选出1 026、1 247、1 431、1 640、1 910 nm为特征波长.对获取的中心波长为810nm近红外图像和560 nm可见光图像进行3×3窗口的中值滤波,采用最大类间方差法进行图像分割,计算图像的平均灰度.获取番茄冠层温度,并结合环境温湿度信息,建立番茄的冠气温

  6. Anatomical Connections of the Functionally Defined "Face Patches" in the Macaque Monkey.

    Science.gov (United States)

    Grimaldi, Piercesare; Saleem, Kadharbatcha S; Tsao, Doris

    2016-06-15

    The neural circuits underlying face recognition provide a model for understanding visual object representation, social cognition, and hierarchical information processing. A fundamental piece of information lacking to date is the detailed anatomical connections of the face patches. Here, we injected retrograde tracers into four different face patches (PL, ML, AL, AM) to characterize their anatomical connectivity. We found that the patches are strongly and specifically connected to each other, and individual patches receive inputs from extrastriate cortex, the medial temporal lobe, and three subcortical structures (the pulvinar, claustrum, and amygdala). Inputs from prefrontal cortex were surprisingly weak. Patches were densely interconnected to one another in both feedforward and feedback directions, inconsistent with a serial hierarchy. These results provide the first direct anatomical evidence that the face patches constitute a highly specialized system and suggest that subcortical regions may play a vital role in routing face-related information to subsequent processing stages.

  7. Congenital neck masses: embryological and anatomical perspectives

    Directory of Open Access Journals (Sweden)

    Zahida Rasool

    2013-08-01

    Full Text Available Neck masses are a common problem in paediatric age group. They tend to occur frequently and pose a diagnostic dilemma to the ENT surgeons. Although the midline and lateral neck masses differ considerably in their texture and presentation but the embryological perspective of these masses is not mostly understood along with the fundamental anatomical knowledge. The article tries to correlate the embryological, anatomical and clinical perspectives for the same. [Int J Res Med Sci 2013; 1(4.000: 329-332

  8. Anatomical basis for Wilms tumor surgery

    Directory of Open Access Journals (Sweden)

    Trobs R

    2009-01-01

    Full Text Available Wilms tumor surgery requires meticulous planning and sophisticated surgical technique. Detailed anatomical knowledge can facilitate the uneventful performance of tumor nephrectomy and cannot be replaced by advanced and sophisticated imaging techniques. We can define two main goals for surgery: (1 exact staging as well as (2 safe and complete resection of tumor without spillage. This review aims to review the anatomical basis for Wilms tumor surgery. It focuses on the surgical anatomy of retroperitoneal space, aorta, vena cava and their large branches with lymphatics. Types and management of vascular injuries are discussed.

  9. Fusion Studies in Japan

    Science.gov (United States)

    Ogawa, Yuichi

    2016-05-01

    A new strategic energy plan decided by the Japanese Cabinet in 2014 strongly supports the steady promotion of nuclear fusion development activities, including the ITER project and the Broader Approach activities from the long-term viewpoint. Atomic Energy Commission (AEC) in Japan formulated the Third Phase Basic Program so as to promote an experimental fusion reactor project. In 2005 AEC has reviewed this Program, and discussed on selection and concentration among many projects of fusion reactor development. In addition to the promotion of ITER project, advanced tokamak research by JT-60SA, helical plasma experiment by LHD, FIREX project in laser fusion research and fusion engineering by IFMIF were highly prioritized. Although the basic concept is quite different between tokamak, helical and laser fusion researches, there exist a lot of common features such as plasma physics on 3-D magnetic geometry, high power heat load on plasma facing component and so on. Therefore, a synergetic scenario on fusion reactor development among various plasma confinement concepts would be important.

  10. Perceptual reasoning in adaptive fusion processing

    Science.gov (United States)

    Kadar, Ivan

    2002-07-01

    The author previously published a unified perceptual reasoning system framework for adaptive sensor fusion and situation assessment. Ths framework is re-examined to highlight the role of human perceptual reasoning and to establish the relationship between human perceptual reasoning and the Joint Director of Laboratories (JDL) fusion levels. Mappings between the fusion levels and the elements of perceptual reasoning are defined. Methods to populate the knowledge bases associated with each component of the perceptual reasoning system are highlighted. The concept and application of perception, the resultant system architecture and its candidate renditions using distributed interacting software agents (ISA) are discussed. The perceptual reasoning system is shown to be a natural governing mechanism for extracting, associating and fusing information from multiple sources while adaptively controlling the fusion level processes for optimum fusion performance. The unified modular system construct is shown to provide a formal framework to accommodate various implementation alternatives. The application of this architectural concept is illustrated for distributed fusion systems architectures and is sued to illustrate the benefits of the adaptive perceptual reasoning system concept.

  11. Control of Fusion and Solubility in Fusion Systems

    CERN Document Server

    Craven, David A

    2009-01-01

    In this article, we consider the control of fusion in fusion systems, proving three previously known, non-trivial results in a new, largely elementary way. We then reprove a result of Aschbacher, that the product of two strongly closed subgroups is strongly closed; to do this, we consolidate the theory of quotients of fusion systems into a consistent theory. We move on considering p-soluble fusion systems, and prove that they are constrained, allowing us to effectively characterize fusion systems of p-soluble groups. This leads us to recast Thompson Factorization for Qd(p)-free fusion systems, and consider Thompson Factorization for more general fusion systems.

  12. Remote sensing image fusion

    CERN Document Server

    Alparone, Luciano; Baronti, Stefano; Garzelli, Andrea

    2015-01-01

    A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and panchromatic images, and fusion of data from heterogeneous sensors such as optical and synthetic aperture radar (SAR) images and integration of thermal and visible/near-infrared images. They also explore new trends of signal/image processing, such as

  13. Research and Realization of Medical Image Fusion Based on Three-Dimensional Reconstruction

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    A new medical image fusion technique is presented. The method is based on three-dimensional reconstruction. After reconstruction, the three-dimensional volume data is normalized by three-dimensional coordinate conversion in the same way and intercepted through setting up cutting plane including anatomical structure, as a result two images in entire registration on space and geometry are obtained and the images are fused at last.Compared with traditional two-dimensional fusion technique, three-dimensional fusion technique can not only resolve the different problems existed in the two kinds of images, but also avoid the registration error of the two kinds of images when they have different scan and imaging parameter. The research proves this fusion technique is more exact and has no registration, so it is more adapt to arbitrary medical image fusion with different equipments.

  14. Preliminary analysis of patent trends for magnetic fusion technology

    Energy Technology Data Exchange (ETDEWEB)

    Levine, L.O.; Ashton, W.B.; Campbell, R.S.

    1984-02-01

    This study presents a preliminary analysis of development trends in magnetic fusion technology based on data from US patents. The research is limited to identification and description of general patent activity and ownership characteristics for 373 patents. The results suggest that more detailed studies of fusion patents could provide useful R and D planning information.

  15. Visualization of Membrane Fusion, One Particle at a Time

    NARCIS (Netherlands)

    Otterstrom, Jason; van Oijen, Antoine M.

    2013-01-01

    Protein-mediated fusion between phospholipid bilayers is a fundamental and necessary mechanism for many cellular processes. The short-lived nature of the intermediate states visited during fusion makes it challenging to capture precise kinetic information using classical, ensemble-averaging biophysi

  16. Geodata fusion study by the Open Geospatial Consortium

    Science.gov (United States)

    Percivall, George

    2013-05-01

    Making new connections in existing data is a powerful method to gain understanding of the world. Data fusion is not a new topic, but new approaches provide opportunities to enhance this ubiquitous process. Interoperability based on open standards is radically changing the classical domains of data fusion while inventing entirely new ways to discern relationships in data with little structure. Associations based on locations and times are of the most primary type. The Open Geospatial Consortium (OGC) conducted a Fusion Standards study with recommendations implemented in testbeds. In the context of this study, Data Fusion was defined as: "the act or process of combining or associating data or information regarding one or more entities considered in an explicit or implicit knowledge framework to improve one's capability (or provide a new capability) for detection, identification, or characterization of that entity". Three categories were used to organize this study: Observation Fusion, Feature fusion, and Decision fusion. The study considered classical fusion as exemplified by the JDL and OODA models as well as how fusion is achieved by new technology such as web-based mash-ups and mobile Internet. The study considers both OGC standards as well open standards from other standards organizations. These technologies and standards aid in bringing structure to unstructured data as well as enabling a major new thrust in Decision Fusion.

  17. Advances in multi-sensor data fusion: algorithms and applications.

    Science.gov (United States)

    Dong, Jiang; Zhuang, Dafang; Huang, Yaohuan; Fu, Jingying

    2009-01-01

    With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a promising research area since the end of the last century. The paper presents an overview of recent advances in multi-sensor satellite image fusion. Firstly, the most popular existing fusion algorithms are introduced, with emphasis on their recent improvements. Advances in main applications fields in remote sensing, including object identification, classification, change detection and maneuvering targets tracking, are described. Both advantages and limitations of those applications are then discussed. Recommendations are addressed, including: (1) Improvements of fusion algorithms; (2) Development of "algorithm fusion" methods; (3) Establishment of an automatic quality assessment scheme.

  18. A propositional representation model of anatomical and functional brain data.

    Science.gov (United States)

    Maturana, Pablo; Batrancourt, Bénédicte

    2011-01-01

    Networks can represent a large number of systems. Recent advances in the domain of networks have been transferred to the field of neuroscience. For example, the graph model has been used in neuroscience research as a methodological tool to examine brain networks organization, topology and complex dynamics, as well as a framework to test the structure-function hypothesis using neuroimaging data. In the current work we propose a graph-theoretical framework to represent anatomical, functional and neuropsychological assessment instruments information. On the one hand, interrelationships between anatomic elements constitute an anatomical graph. On the other hand, a functional graph contains several cognitive functions and their more elementary cognitive processes. Finally, the neuropsychological assessment instruments graph includes several neuropsychological tests and scales linked with their different sub-tests and variables. The two last graphs are connected by relations of type "explore" linking a particular instrument with the cognitive function it explores. We applied this framework to a sample of patients with focal brain damage. Each patient was related to: (i) the cerebral entities injured (assessed with structural neuroimaging data) and (ii) the neusopsychological assessment tests carried out (weight by performance). Our model offers a suitable platform to visualize patients' relevant information, facilitating the representation, standardization and sharing of clinical data. At the same time, the integration of a large number of patients in this framework will make possible to explore relations between anatomy (injured entities) and function (performance in different tests assessing different cognitive functions) and the use of neurocomputational tools for graph analysis may help diagnostic and contribute to the comprehension of neural bases of cognitive functions.

  19. An Altitude Information Fusion Method for Small Unmanned Aerial Rotorcrafts%一种小型无人旋翼机高度信息融合方法

    Institute of Scientific and Technical Information of China (English)

    雷旭升; 李晶晶; 郭克信; 杜玉虎

    2012-01-01

    针对小型无人旋翼机在起降过程中由 于地效、外扰作用造成的高度传感器量测信息不精确的问题,提出一种基于单目视觉信号的高度获取方法,利用改进的大津法及仿射不变矩的方法提高目标识别的准确性;并针对视觉图像受噪声干扰、气压传感器存在误差积累、GPS测量精度不精确以及超声量程有局限性的问题,提出一种基于残差信息的自适应卡尔曼滤波,将视觉信息、气压高度计、GPS和超声高度信息进行融合,以提高全量程的高度估计的精度.最后通过静态测试实验、自主悬停以及自 主降落实验验证本方法的有效性.%Focusing on the low precision of the altitude sensors for the small unmanned aerial rotorcrafl (SUAR) due to the ground-effect and external disturbances in the process of taking off and landing, a method based on monocular vision is proposed to gel altitude information. With the improved Ostu method and the athne invariant moments, the system can realize the high precision target recognition. Furthermore, to deal with the problems of the image noise, the measurement error for the barometric sensor and GPS (global positioning system), and the limited measurement range of ultrasonic sensor, an adaptive Kalman method based on residual error is proposed to fuse the data of altitude information from vision system, barometric altimeter, GPS and ultrasonic sensors. Thus, the SUAR can get altitude information of high precision in whole measuring range. Finally, the effectiveness of the proposed method is tested by the static test, hovering flight test and automatic landing test.

  20. 基于Bayes信息融合的人为差错概率计算方法%Human error probability quantification method based on Bayesian information fusion

    Institute of Scientific and Technical Information of China (English)

    蒋英杰; 孙志强; 谢红卫; 宫二玲

    2011-01-01

    研究了人为差错概率的计算.首先,介绍了可用于人为差错概率计算的数据来源,主要包括:通用数据、专家数据、仿真实验数据和现场数据.然后,分析了Bayes信息融合方法的基本思想,强调了该方法的两个关键性问题:验前分布的构建和融合权重的确定.最后,构建了基于Bayes信息融合的人为差错概率计算方法.将前3种数据作为脸前信息,融合形成验前分布.使用Bayes方法完成与现场数据的数据综合,得到人为差错概率的验后分布.基于该验后分布,完成人为差错概率的计算.通过示例分析,演示了方法的使用过程,证明了方法的有效性.%The quantification of human error probability is researched. Firstly, the data resources that can be used in the quantification of human error probability are introduced, including general data, expert data, simulation data, and spot data. Their characteristics are analyzed. Secondly, the basic idea of Bayesian information fusing is analyzed. Two key prololems are emphasized, which are the formation of prior distributions and the determination of fusing weights. Finally, the new method is presented, which quantifies the human error probability based on Bayesian information fusing. The first three kinds of data are regarded as prior information to form the fused prior distribution. The Bayesian method is used to synthesize all the data and get the posterior distribution. Based on the posterior distribution, the human error probability can be quantified. An example is analyzed, which shows the process of the method and proves its validity.

  1. [Linburg-Comstock syndrome. Epidemiologic and anatomic study, clinical applications].

    Science.gov (United States)

    Hamitouche, K; Roux, J L; Baeten, Y; Allieu, Y

    2000-05-01

    The Linburg-Comstock (LC) syndrome is distinguished by the inability to actively flex the interphalangeal (IP) joint of the thumb without simultaneously flexing the distal IP joint of the index finger. Any resistance to this 'parasitic' reaction causes pain on the palmar side of the wrist or in the distal part of the forearm; this is due to an anomalous tendinous connection between the flexor pollicus longus (FPL) and the flexor digitorum profundus (FDP). An epidemiological study was carried out on 264 individuals (a total of 528 hands were examined), and the LC syndrome was found in 98 subjects (37%); women were more frequently affected than men, and bilaterally rather than unilaterally. In addition, we dissected 26 fresh cadaver upper limbs, and in seven cases found an anomalous connection between FPL and FDP. We also examined the case of a young violinist with bilateral LC syndrome, who complained of pain in the distal part of the left forearm after prolonged musical exercises. Surgical investigation determined a complete fusion between FPL and FDP of the index with a common tendon. Treatment consisted of splitting this common tendon to form two separate tendons, thereby permitting a certain degree of independence between the thumb and index finger, and which considerably improved the violinist's musical performance. A review of the literature showed that there was a large quantity of anatomical descriptions available on these types of connection. Certain publications also provide an extremely precise report on the anthropological significance of these anomalies.

  2. Giving Ourselves: The Ethics of Anatomical Donation

    Science.gov (United States)

    Gunderman, Richard B.

    2008-01-01

    In some European countries, such as Italy, medical education is threatened by a dearth of anatomical specimens. Such a shortage could spread to other nations, including the United States. This article addresses two ethical questions in body donation. Why might people choose to donate their bodies to education and science? What sorts of ethical…

  3. Report of a rare anatomic variant

    DEFF Research Database (Denmark)

    De Brucker, Y; Ilsen, B; Muylaert, C;

    2015-01-01

    We report the CT findings in a case of partial anomalous pulmonary venous return (PAPVR) from the left upper lobe in an adult. PAPVR is an anatomic variant in which one to three pulmonary veins drain into the right atrium or its tributaries, rather than into the left atrium. This results in a lef...

  4. [Anatomic variants of Meckel's cave on MRI].

    Science.gov (United States)

    Benoudiba, F; Hadj-Rabia, M; Iffenecker, C; Fuerxer, F; Bekkali, F; Francke, J P; Doyon, D

    1998-10-01

    Magnetic resonance imaging (MRI) gives an accurate analysis of Meckel's cave variability. Images were acquired in 50 patients with several sections for anatomical comparison. Using several sections, MRI is a suitable method for better analysis of the trigeminal cistern. The most frequent findings are symmetrical trigeminal cisterns. Expansion of Meckel's cave or its disappearance has pathological significance.

  5. HPV Vaccine Effective at Multiple Anatomic Sites

    Science.gov (United States)

    A new study from NCI researchers finds that the HPV vaccine protects young women from infection with high-risk HPV types at the three primary anatomic sites where persistent HPV infections can cause cancer. The multi-site protection also was observed at l

  6. TIBIAL LANDMARKS IN ACL ANATOMIC REPAIR

    Directory of Open Access Journals (Sweden)

    M. V. Demesсhenko

    2016-01-01

    Full Text Available Purpose: to identify anatomical landmarks on tibial articular surface to serve as reference in preparing tibial canal with respect to the center of ACL footprint during single bundle arthroscopic repair.Materials and methods. Twelve frozen knee joint specimens and 68 unpaired macerated human tibia were studied using anatomical, morphometric, statistical methods as well as graphic simulation.Results. Center of the tibial ACL footprint was located 13,1±1,7 mm anteriorly from posterior border of intercondylar eminence, at 1/3 of the distance along the line connecting apexes of internal and external tubercles and 6,1±0,5 mm anteriorly along the perpendicular raised to this point.Conclusion. Internal and external tubercles, as well as posterior border of intercondylar eminence can be considered as anatomical references to determine the center of the tibial ACL footprint and to prepare bone canals for anatomic ligament repair.

  7. Anatomical Data for Analyzing Human Motion.

    Science.gov (United States)

    Plagenhoef, Stanley; And Others

    1983-01-01

    Anatomical data obtained from cadavers and from water displacement studies with living subjects were used to determine the weight, center of gravity, and radius of gyration for 16 body segments. A lead model was used to study movement patterns of the trunk section of the body. (Authors/PP)

  8. Handbook of anatomical models for radiation dosimetry

    CERN Document Server

    Eckerman, Keith F

    2010-01-01

    Covering the history of human model development, this title presents the major anatomical and physical models that have been developed for human body radiation protection, diagnostic imaging, and nuclear medicine therapy. It explores how these models have evolved and the role that modern technologies have played in this development.

  9. Wood anatomical classification using iterative character weighing

    NARCIS (Netherlands)

    Hogeweg, P.; Koek-Noorman, J.

    1975-01-01

    In this paper we investigate the pattern of wood anatomical variation in some groups of Rubiaceae (i.e. Cinchoneae, Rondeletieae and Condamineae) by using a numerical pattern detection method which involves character weighing (Hogeweg 1975). In this method character weights are obtained iteratively

  10. Evolution of the Anatomical Theatre in Padova

    Science.gov (United States)

    Macchi, Veronica; Porzionato, Andrea; Stecco, Carla; Caro, Raffaele

    2014-01-01

    The anatomical theatre played a pivotal role in the evolution of medical education, allowing students to directly observe and participate in the process of dissection. Due to the increase of training programs in clinical anatomy, the Institute of Human Anatomy at the University of Padova has renovated its dissecting room. The main guidelines in…

  11. Influences on anatomical knowledge: The complete arguments

    NARCIS (Netherlands)

    Bergman, E.M.; Verheijen, I.W.; Scherpbier, A.J.J.A.; Vleuten, C.P.M. van der; Bruin, A.B. De

    2014-01-01

    Eight factors are claimed to have a negative influence on anatomical knowledge of medical students: (1) teaching by nonmedically qualified teachers, (2) the absence of a core anatomy curriculum, (3) decreased use of dissection as a teaching tool, (4) lack of teaching anatomy in context, (5) integrat

  12. 延迟容忍网络中一种多信息融合的改进概率路由算法%An Improved Probabilistic Routing Algorithm Based on Multi-information Fusion in Delay Tolerant Networks

    Institute of Scientific and Technical Information of China (English)

    王旭; 何荣希

    2014-01-01

    综合利用节点物理状态信息(位置和速度矢量信息)和社会关系信息(历史相遇信息),提出一种多信息融合的概率路由算法( PRMF)。该算法依据节点间距离的远近程度动态调整两类信息在预测相遇关系中的权重,以选择合适的信息来计算传输概率,并依据传输概率的大小选择转发节点。另外,还引入有效的分组副本控制和分组散播策略,并结合预测信息改进了节点缓存管理方法。仿真结果表明:与现有的几种路由算法相比,PRMF保持了较低的平均开销,同时具有最高的投递率和最小的平均延迟。%With an integrated utilization of nodes'physical status information and social relationship infor-mation,i. e. ,position and velocity vector information and historical encounter information,a probabilistic routing algorithm based on multi-information fusion,called PRMF,is proposed for delay tolerant networks ( DTN) in this paper. According to the relative distance from a node to the destination node,PRMF dynami-cally adjusts the weighting factor to select the appropriate information for calculation of the node's delivery probability which gives guidance to forwarder selection. In addition, an effective strategy for packet copy control and packet spreading is also introduced in PRMF to improve the queue management method by combining with the former predictive information. The simulation results show that PRMF can have not only a relatively small average overhead but also a higher packet delivery rate and a lower delivery delay than other routing algorithms.

  13. Cell fusions in mammals

    DEFF Research Database (Denmark)

    Larsson, Lars-Inge; Bjerregaard, Bolette; Talts, Jan Fredrik

    2008-01-01

    Cell fusions are important to fertilization, placentation, development of skeletal muscle and bone, calcium homeostasis and the immune defense system. Additionally, cell fusions participate in tissue repair and may be important to cancer development and progression. A large number of factors appear...... to regulate cell fusions, including receptors and ligands, membrane domain organizing proteins, proteases, signaling molecules and fusogenic proteins forming alpha-helical bundles that bring membranes close together. The syncytin family of proteins represent true fusogens and the founding member, syncytin-1......, has been documented to be involved in fusions between placental trophoblasts, between cancer cells and between cancer cells and host ells. We review the literature with emphasis on the syncytin family and propose that syncytins may represent universal fusogens in primates and rodents, which work...

  14. Cold nuclear fusion

    Directory of Open Access Journals (Sweden)

    Huang Zhenqiang Huang Yuxiang

    2013-10-01

    Full Text Available In normal temperature condition, the nuclear force constraint inertial guidance method, realize the combination of deuterium and tritium, helium and lithium... And with a magnetic moment of light nuclei controlled cold nuclear collide fusion, belongs to the nuclear energy research and development in the field of applied technology "cold nuclear collide fusion". According to the similarity of the nuclear force constraint inertial guidance system, the different velocity and energy of the ion beam mixing control, developed ion speed dc transformer, it is cold nuclear fusion collide, issue of motivation and the nuclear power plant start-up fusion and power transfer system of the important equipment, so the merger to apply for a patent

  15. Fusion Revisits CERN

    CERN Multimedia

    2001-01-01

    It's going to be a hot summer at CERN. At least in the Main Building, where from 13 July to 20 August an exhibition is being hosted on nuclear fusion, the energy of the Stars. Nuclear fusion is the engine driving the stars but also a potential source of energy for mankind. The exhibition shows the different nuclear fusion techniques and research carried out on the subject in Europe. Inaugurated at CERN in 1993, following collaboration between Lausanne's CRPP-EPFL and CERN, with input from Alessandro Pascolini of Italy's INFN, this exhibition has travelled round Europe before being revamped and returning to CERN. 'Fusion, Energy of the Stars', from 13 July onwards, Main Building

  16. Laser-Driven Fusion.

    Science.gov (United States)

    Gibson, A. F.

    1980-01-01

    Discusses the present status and future prospects of laser-driven fusion. Current research (which is classified under three main headings: laser-matter interaction processes, compression, and laser development) is also presented. (HM)

  17. Fusion plasma physics

    CERN Document Server

    Stacey, Weston M

    2012-01-01

    This revised and enlarged second edition of the popular textbook and reference contains comprehensive treatments of both the established foundations of magnetic fusion plasma physics and of the newly developing areas of active research. It concludes with a look ahead to fusion power reactors of the future. The well-established topics of fusion plasma physics -- basic plasma phenomena, Coulomb scattering, drifts of charged particles in magnetic and electric fields, plasma confinement by magnetic fields, kinetic and fluid collective plasma theories, plasma equilibria and flux surface geometry, plasma waves and instabilities, classical and neoclassical transport, plasma-materials interactions, radiation, etc. -- are fully developed from first principles through to the computational models employed in modern plasma physics. The new and emerging topics of fusion plasma physics research -- fluctuation-driven plasma transport and gyrokinetic/gyrofluid computational methodology, the physics of the divertor, neutral ...

  18. Optical Fiber Fusion Splicing

    CERN Document Server

    Yablon, Andrew D

    2005-01-01

    This book is an up-to-date treatment of optical fiber fusion splicing incorporating all the recent innovations in the field. It provides a toolbox of general strategies and specific techniques that the reader can apply when optimizing fusion splices between novel fibers. It specifically addresses considerations important for fusion splicing of contemporary specialty fibers including dispersion compensating fiber, erbium-doped gain fiber, polarization maintaining fiber, and microstructured fiber. Finally, it discusses the future of optical fiber fusion splicing including silica and non-silica based optical fibers as well as the trend toward increasing automation. Whilst serving as a self-contained reference work, abundant citations from the technical literature will enable readers to readily locate primary sources.

  19. Sampling Based Average Classifier Fusion

    Directory of Open Access Journals (Sweden)

    Jian Hou

    2014-01-01

    fusion algorithms have been proposed in literature, average fusion is almost always selected as the baseline for comparison. Little is done on exploring the potential of average fusion and proposing a better baseline. In this paper we empirically investigate the behavior of soft labels and classifiers in average fusion. As a result, we find that; by proper sampling of soft labels and classifiers, the average fusion performance can be evidently improved. This result presents sampling based average fusion as a better baseline; that is, a newly proposed classifier fusion algorithm should at least perform better than this baseline in order to demonstrate its effectiveness.

  20. Fusion ignition research experiment

    Energy Technology Data Exchange (ETDEWEB)

    Dale Meade

    2000-07-18

    Understanding the properties of high gain (alpha-dominated) fusion plasmas in an advanced toroidal configuration is the largest remaining open issue that must be addressed to provide the scientific foundation for an attractive magnetic fusion reactor. The critical parts of this science can be obtained in a compact high field tokamak which is also likely to provide the fastest and least expensive path to understanding alpha-dominated plasmas in advanced toroidal systems.

  1. Economically competitive fusion

    Directory of Open Access Journals (Sweden)

    David J. Ward

    2008-12-01

    Full Text Available Not since the oil crisis of the 1970s has the perception that energy is a crucial and precious resource been as strong as it is today. The need for a new approach to world energy supply, driven by concerns over resources, pollution, and security, is leading to a reappraisal of fusion. Fusion has enormous potential and major safety and environmental advantages, and hence could make a large difference to energy supplies.

  2. Fusion, cold fusion, and space policy

    Energy Technology Data Exchange (ETDEWEB)

    Rotegard, D. (CST Ltd. (United States))

    1991-01-01

    This paper critiques Americal science policy through a consideration of two examples-cold fusion and asteroid mining. It points out that the failure of central planning in science and technology policy is just as marked as in more mundane activities. It highlights the current low level of debate and points out some technical issues that need to be addressed. It concludes with evidence that the alliance of flawed policy options is further lowering the level of debate. (author).

  3. EDITORIAL: Safety aspects of fusion power plants

    Science.gov (United States)

    Kolbasov, B. N.

    2007-07-01

    This special issue of Nuclear Fusion contains 13 informative papers that were initially presented at the 8th IAEA Technical Meeting on Fusion Power Plant Safety held in Vienna, Austria, 10-13 July 2006. Following recommendation from the International Fusion Research Council, the IAEA organizes Technical Meetings on Fusion Safety with the aim to bring together experts to discuss the ongoing work, share new ideas and outline general guidance and recommendations on different issues related to safety and environmental (S&E) aspects of fusion research and power facilities. Previous meetings in this series were held in Vienna, Austria (1980), Ispra, Italy (1983), Culham, UK (1986), Jackson Hole, USA (1989), Toronto, Canada (1993), Naka, Japan (1996) and Cannes, France (2000). The recognized progress in fusion research and technology over the last quarter of a century has boosted the awareness of the potential of fusion to be a practically inexhaustible and clean source of energy. The decision to construct the International Thermonuclear Experimental Reactor (ITER) represents a landmark in the path to fusion power engineering. Ongoing activities to license ITER in France look for an adequate balance between technological and scientific deliverables and complying with safety requirements. Actually, this is the first instance of licensing a representative fusion machine, and it will very likely shape the way in which a more common basis for establishing safety standards and policies for licensing future fusion power plants will be developed. Now that ITER licensing activities are underway, it is becoming clear that the international fusion community should strengthen its efforts in the area of designing the next generations of fusion power plants—demonstrational and commercial. Therefore, the 8th IAEA Technical Meeting on Fusion Safety focused on the safety aspects of power facilities. Some ITER-related safety issues were reported and discussed owing to their potential

  4. Hybrid ultrasound imaging techniques(fusion imaging)

    Institute of Scientific and Technical Information of China (English)

    Daniela Larisa Sandulescu; Daniela Dumitrescu; Ion Rogoveanu; Adrian Saftoiu

    2011-01-01

    Visualization of tumor angiogenesis can facilitate noninvasive evaluation of tumor vascular characteristics to supplement the conventional diagnostic imaging goals of depicting tumor location,size,and morphology.Hybrid imaging techniques combine anatomic [ultrasound,computed tomography(CT),and/or magnetic resonance imaging(MRI)] and molecular(single photon emission CT and positron emission tomography)imaging modalities.One example is real-time virtual sonography,which combines ultrasound(grayscale,colour Doppler,or dynamic contrast harmonic imaging)with contrast-enhanced CT/MRI.The benefits of fusion imaging include an increased diagnostic confidence,direct comparison of the lesions using different imaging modalities,more precise monitoring of interventional procedures,and reduced radiation exposure.

  5. HL7标准下的医疗信息系统融合%The Fusion for Health Care Information System Based on HL7 Standard

    Institute of Scientific and Technical Information of China (English)

    蔡晓白

    2012-01-01

    简要介绍HL7标准,分析HL7的消息结构、消息构造与解析、HL7引擎的服务器与客户端体系模块,并从中间件的角度研究HL7应用的实现技术及其可以利用的资源,包括TinyXML,Chameleon,SOCKET套接字接口,Iguana。为分布式的异构医疗信息系统整合提出一个基于中间件技术的解决方案。%The paper briefly introduces HL7 standard,analyzes the message structure,message construction and analysis,server and client system of HL7 engine,studies the realization technologies of HL7 application from the aspect of middleware,as well as available resources, including TinyXML,Chameleon,SOCKET interface,Iguana.It provides a middleware technology bated solution for distributed and different structured health care information system integration.

  6. A Method of Fault Diagnosis Based on Multi-source Information Fusion Applied in the Distillation Column%基于精馏塔多源信息融合的故障诊断方法

    Institute of Scientific and Technical Information of China (English)

    杨帆; 吴迅; 陈茂林; 江星

    2012-01-01

    研究了一种应用于精馏塔的多源信息融合的故障诊断方法.选择影响精馏塔系统生产质量的主要参数底温、顶温等作为融合对象.首先对参数进行归一化处理,并利用主元分析法对提取的底温、顶温等特征数据进行处理,这样既降低了输入的维数,同时又提高了输入参量特征的相互独立性.然后通过神经网络对主元分析法处理后的特征矢量进行推理分类,得到精馏塔的故障诊断结果.以在一定压力下,间接反映氯乙烯精馏塔产品浓度的塔板温度为诊断对象,仿真结果表明该方法具有很好的诊断效果.%A method of fault diagnosis basing on multi-source information fusion is applied in the distillation column . Extracting the main parameters that affects the production quality of the distillation column system such as temperature at the end, the top temperature and so on as a fusion of object and data preprocessing and feature extraction by using principal component analysis, through linearly associating the points in higher dimension space and projecting them to lower dimension space, not only reducing the input dimension, but also enhancing the mutual independence of the characteristics of the input parameters. Then, we can classify the data by neural network. Under a certain pressure, plate temperature that indirectly reflect the concentration of vinyl chloride distillation column as a diagnostic object , the simulation results show that the method is a good diagnostic result.

  7. Fusion of perceptions for perceptual robotics

    NARCIS (Netherlands)

    Ciftcioglu, O.; Bittermann, M.S.; Sariyildiz, I.S.

    2006-01-01

    Fusion of perception information for perceptual robotics is described. The visual perception is mathematically modelled as a probabilistic process obtaining and interpreting visual data from an environment. The visual data is processed in a multiresolutional form via wavelet transform and optimally

  8. A Fusion Word Alignment Model Constructing Method Based on Linguistic Information%融合句法信息的双语词对齐方法研究

    Institute of Scientific and Technical Information of China (English)

    张贯虹

    2014-01-01

    词对齐研究是多文种信息处理工作的一项不容忽略的基础性研究内容。通过针对中文和蒙古文词对齐研究中存在的形态和词序不对称以及支撑词对齐研究的对齐语料缺乏问题,开展融合语言信息的中蒙混合词对齐模型构建方法研究。利用产生式词对齐结果以及中蒙两种语言的语言信息作为潜特征,建立高质量的融合语言信息的中蒙混合词对齐模型。实验结果证明,该文提出方法对于利用可比语料抽取对齐语料是可行的。%Generative model and discriminative model are taken as two mainly approaches in word alignment field. To solve the problems of Chinese-Mongolian word alignment such as asymmetric morphological structure and word order, is presented in a discriminative framework using the result of generative word alignment and Chinese and Mongolian contextual information as la-tent variables for Chinese-Mongolian word alignment task. This work provides a new method and some theoretical support for performance improvement of word alignment of smaller scale corpus.

  9. Multi-sensor information fusion of mobile robot fast follow servo%多传感器信息融合伺服的移动机器人快速跟随

    Institute of Scientific and Technical Information of China (English)

    周霞; 何建忠; 王宝磊

    2013-01-01

    针对移动机器人快速跟随任务的需要,采取了多传感器信息融合的伺服控制,用双目摄像机对移动机器人进行视觉导航,利用激光雷达和超声波传感器完成移动机器人的避障设计,通过位于机器人轮部的光电编码器反馈信息处理实现机器人的自定位,语音交互和手势交互共同完成移动机器人的人机交互,制定了移动机器人快速跟随整体策略并提出了软硬件系统集成方案.在实验环境中通过实验和实践表明了移动机器人能够快速顺利的完成跟随任务.%For mobile robot with the needs of the rapid task,multi-sensor information fusion of servo control is taken.Mobile robot visual navigation is finished with binocular camera and the mobile robot obstacle avoidance design is completed by using the laser radar and the ultrasonic sensor.The robot self-localization is realized by the feedback information processing of photoelectric encoder located in the robot round.The mobile robot human-computer interaction is finished by the voice interactive system and gesture-based interaction system together.Fast follow overall strategy of mobile robot is made and the integrated solutions of the hardware and software system is put forward.In the experimental environment,through the experiment and practice,it proves that the mobile robot can finish the following task quickly and smoothly.

  10. Compressed Gas Safety for Experimental Fusion Facilities

    Energy Technology Data Exchange (ETDEWEB)

    Lee C. Cadwallader

    2004-09-01

    Experimental fusion facilities present a variety of hazards to the operators and staff. There are unique or specialized hazards, including magnetic fields, cryogens, radio frequency emissions, and vacuum reservoirs. There are also more general industrial hazards, such as a wide variety of electrical power, pressurized air, and cooling water systems in use, there are crane and hoist loads, working at height, and handling compressed gas cylinders. This paper outlines the projectile hazard assoicated with compressed gas cylinders and mthods of treatment to provide for compressed gas safety. This information should be of interest to personnel at both magnetic and inertial fusion experiments.

  11. ANATOMIC RESEARCH OF SUPERIOR CLUNIAL NERVE TRAUMA

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    In order to find the mechanism of superior clunial nerve (SCN) trauma, we dissected and revealed SCN from 12 corpses (24 sides). Combining 100 sides of SCN trauma, we inspected the course of SCN, the relation between SCN and it's neighbour tissues with the situation of SCN when being subjected to force. We found that the following special anatomic characteristics and mechanical elements such as the course of SCN, it's turning angles, the bony fibrous tube at the iliac crest, the posterior layer of the lumbodorsal fascia and SCN neighbour adipose tissue, are the causes of external force inducing SCN trauma. The anatomic revealment is the guidance of SCN trauma treatment with edged needle.

  12. Lateral Lumbar Interbody Fusion

    Science.gov (United States)

    Hughes, Alexander; Girardi, Federico; Sama, Andrew; Lebl, Darren; Cammisa, Frank

    2015-01-01

    The lateral lumbar interbody fusion (LLIF) is a relatively new technique that allows the surgeon to access the intervertebral space from a direct lateral approach either anterior to or through the psoas muscle. This approach provides an alternative to anterior lumbar interbody fusion with instrumentation, posterior lumbar interbody fusion, and transforaminal lumbar interbody fusion for anterior column support. LLIF is minimally invasive, safe, better structural support from the apophyseal ring, potential for coronal plane deformity correction, and indirect decompression, which have has made this technique popular. LLIF is currently being utilized for a variety of pathologies including but not limited to adult de novo lumbar scoliosis, central and foraminal stenosis, spondylolisthesis, and adjacent segment degeneration. Although early clinical outcomes have been good, the potential for significant neurological and vascular vertebral endplate complications exists. Nevertheless, LLIF is a promising technique with the potential to more effectively treat complex adult de novo scoliosis and achieve predictable fusion while avoiding the complications of traditional anterior surgery and posterior interbody techniques. PMID:26713134

  13. Myoblast fusion in Drosophila

    Energy Technology Data Exchange (ETDEWEB)

    Haralalka, Shruti [Stowers Institute for Medical Research, Kansas City, MO 64110 (United States); Abmayr, Susan M., E-mail: sma@stowers.org [Stowers Institute for Medical Research, Kansas City, MO 64110 (United States); Department of Anatomy and Cell Biology, University of Kansas Medical Center, Kansas City, MO 66160 (United States)

    2010-11-01

    The body wall musculature of a Drosophila larva is composed of an intricate pattern of 30 segmentally repeated muscle fibers in each abdominal hemisegment. Each muscle fiber has unique spatial and behavioral characteristics that include its location, orientation, epidermal attachment, size and pattern of innervation. Many, if not all, of these properties are dictated by founder cells, which determine the muscle pattern and seed the fusion process. Myofibers are then derived from fusion between a specific founder cell and several fusion competent myoblasts (FCMs) fusing with as few as 3-5 FCMs in the small muscles on the most ventral side of the embryo and as many as 30 FCMs in the larger muscles on the dorsal side of the embryo. The focus of the present review is the formation of the larval muscles in the developing embryo, summarizing the major issues and players in this process. We have attempted to emphasize experimentally-validated details of the mechanism of myoblast fusion and distinguish these from the theoretically possible details that have not yet been confirmed experimentally. We also direct the interested reader to other recent reviews that discuss myoblast fusion in Drosophila, each with their own perspective on the process . With apologies, we use gene nomenclature as specified by Flybase (http://flybase.org) but provide Table 1 with alternative names and references.

  14. Exploring Forensic Implications of the Fusion Drive

    Directory of Open Access Journals (Sweden)

    Shruti Gupta

    2014-09-01

    Full Text Available This paper explores the forensic implications of Apple's Fusion Drive. The Fusion Drive is an example of auto-tiered storage. It uses a combination of a flash drive and a magnetic drive. Data is moved between the drives automatically to maximize system performance. This is different from traditional caches because data is moved and not simply copied. The research included understanding the drive structure, populating the drive, and then accessing data in a controlled setting to observe data migration strategies. It was observed that all the data is first written to the flash drive with 4 GB of free space always maintained. If data on the magnetic drive is frequently accessed, it is promoted to the flash drive while demoting other information. Data is moved at a block-level and not a file-level. The Fusion Drive didn't alter the timestamps of files with data migration.

  15. Current fusion power plant design concepts

    Energy Technology Data Exchange (ETDEWEB)

    Gore, B.F.; Murphy, E.S.

    1976-09-01

    Nine current U.S. designs for fusion power plants are described in this document. Summary tabulations include a tenth concept, for which the design document was unavailable during preparation of the descriptions. The information contained in the descriptions was used to define an envelope of fusion power plant characteristics which formed the basis for definition of reference first commercial fusion power plant design. A brief prose summary of primary plant features introduces each of the descriptions contained in the body of this document. In addition, summary tables are presented. These tables summarize in side-by-side fashion, plant parameters, processes, combinations of materials used, requirements for construction materials, requirements for replacement materials during operation, and production of wastes.

  16. Anatomical MRI with an atomic magnetometer.

    Science.gov (United States)

    Savukov, I; Karaulanov, T

    2013-06-01

    Ultra-low field (ULF) MRI is a promising method for inexpensive medical imaging with various additional advantages over conventional instruments such as low weight, low power, portability, absence of artifacts from metals, and high contrast. Anatomical ULF MRI has been successfully implemented with SQUIDs, but SQUIDs have the drawback of a cryogen requirement. Atomic magnetometers have sensitivity comparable to SQUIDs and can be in principle used for ULF MRI to replace SQUIDs. Unfortunately some problems exist due to the sensitivity of atomic magnetometers to a magnetic field and gradients. At low frequency, noise is also substantial and a shielded room is needed for improving sensitivity. In this paper, we show that at 85 kHz, the atomic magnetometer can be used to obtain anatomical images. This is the first demonstration of any use of atomic magnetometers for anatomical MRI. The demonstrated resolution is 1.1 mm×1.4 mm in about 6 min of acquisition with SNR of 10. Some applications of the method are discussed. We discuss several measures to increase the sensitivity to reach a resolution 1 mm×1 mm.

  17. Anatomical MRI with an atomic magnetometer

    CERN Document Server

    Savukov, I

    2012-01-01

    Ultra-low field (ULF) MRI is a promising method for inexpensive medical imaging with various additional advantages over conventional instruments such as low weight, low power, portability, absence of artifacts from metals, and high contrast. Anatomical ULF MRI has been successfully implemented with SQUIDs, but SQUIDs have the drawback of cryogen requirement. Atomic magnetometers have sensitivity comparable to SQUIDs and can be in principle used for ULF MRI to replace SQUIDs. Unfortunately some problems exist due to the sensitivity of atomic magnetometers to magnetic field and gradients. At low frequency, noise is also substantial and a shielded room is needed for improving sensitivity. In this paper, we show that at 85 kHz, the atomic magnetometer can be used to obtain anatomical images. This is the first demonstration of any use of atomic magnetometers for anatomical MRI. The demonstrated resolution is 1.1x1.4 mm2 in about six minutes of acquisition with SNR of 10. Some applications of the method are discuss...

  18. Tracking and sensor data fusion methodological framework and selected applications

    CERN Document Server

    Koch, Wolfgang

    2013-01-01

    Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complementary sensor information in such a way that a better understanding of an underlying real-world phenomenon is achieved. Typically, this insight is either unobtainable otherwise or a fusion result exceeds what can be produced from a single sensor output in accuracy, reliability, or cost. This book provides an introduction Sensor Data Fusion, as an information technology as well as a branch of engineering science and informatics. Part I presents a coherent methodological framework, thus providing th

  19. A framework of region-based dynamic image fusion

    Institute of Scientific and Technical Information of China (English)

    WANG Zhong-hua; QIN Zheng; LIU Yu

    2007-01-01

    A new framework of region-based dynamic image fusion is proposed. First, the technique of target detection is applied to dynamic images (image sequences) to segment images into different targets and background regions. Then different fusion rules are employed in different regions so that the target information is preserved as much as possible. In addition, steerable non-separable wavelet frame transform is used in the process of multi-resolution analysis, so the system achieves favorable characters of orientation and invariant shift. Compared with other image fusion methods, experimental results showed that the proposed method has better capabilities of target recognition and preserves clear background information.

  20. Sparse Recovery from Combined Fusion Frame Measurements

    CERN Document Server

    Boufounos, Petros T; Rauhut, Holger

    2009-01-01

    Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compressed Sensing (CS). Fusion frames are very rich new signal representation methods that use collections of subspaces instead of vectors to represent signals. This work combines these exciting fields to introduce a new sparsity model for fusion frames. Signals that are sparse under the new model can be compressively sampled and uniquely reconstructed in ways similar to sparse signals using standard CS. The combination provides a promising new set of mathematical tools and signal models useful in a variety of applications. With the new model, a sparse signal has energy in very few of the subspaces of the fusion frame, although it does not need to be sparse within each of the subspaces it occupies. This sparsity model is captured using a mixed l1/l2 norm for fusion frames. A signal sparse in a fusion frame can be sampled using very few ran...

  1. Slantlet Transform for Multispectral Image Fusion

    Directory of Open Access Journals (Sweden)

    Adnan H.M. Al-Helali

    2009-01-01

    Full Text Available Problem statement: Image fusion is a process by which multispectral and panchromatic images, or some of their features, are combined together to form a high spatial/high spectral resolutions image. The successful fusion of images acquired from different modalities or instruments is a great importance issue in remote sensing applications. Approach: A new method of image fusion was introduced. It was based on a hybrid transform, which is an extension of Ridgelet transform. It used the slantlet transform instead of wavelet transform in the final steps of Ridgelet transform. The slantlet transform was an orthogonal discrete wavelet transform with two zero moments and with improved time localization. Results: Since edges and noise played fundamental role in image understanding, this hybrid transform was proved to be good way to enhance the edges and reduce the noise. Conclusion: The proposed method of fusion presented richer information in spatial and spectral domains simultaneously as well as it had reached an optimum fusion result.

  2. Region-based multisensor image fusion method

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    Image fusion should consider the priori knowledge of the source images to be fused, such as the characteristics of the images and the goal of image fusion, that is to say, the knowledge about the input data and the application plays a crucial role. This paper is concerned on multiresolution (MR) image fusion. Considering the characteristics of the multisensor (SAR and FLIR etc) and the goal of fusion, which is to achieve one image in possession of the contours feature and the target region feature. It seems more meaningful to combine features rather than pixels. A multisensor image fusion scheme based on K-means cluster and steerable pyramid is presented. K-means cluster is used to segment out objects in FLIR images. The steerable pyramid is a multiresolution analysis method, which has a good property to extract contours information at different scales. Comparisons are made with the relevant existing techniques in the literature. The paper concludes with some examples to illustrate the efficiency of the proposed scheme.

  3. MRI-PET image fusion based on NSCT transform using local energy and local variance fusion rules.

    Science.gov (United States)

    Amini, Nasrin; Fatemizadeh, E; Behnam, Hamid

    2014-05-01

    Image fusion means to integrate information from one image to another image. Medical images according to the nature of the images are divided into structural (such as CT and MRI) and functional (such as SPECT, PET). This article fused MRI and PET images and the purpose is adding structural information from MRI to functional information of PET images. The images decomposed with Nonsubsampled Contourlet Transform and then two images were fused with applying fusion rules. The coefficients of the low frequency band are combined by a maximal energy rule and coefficients of the high frequency bands are combined by a maximal variance rule. Finally, visual and quantitative criteria were used to evaluate the fusion result. In visual evaluation the opinion of two radiologists was used and in quantitative evaluation the proposed fusion method was compared with six existing methods and used criteria were entropy, mutual information, discrepancy and overall performance.

  4. PI(4,5)P2 regulates myoblast fusion through Arp2/3 regulator localization at the fusion site.

    Science.gov (United States)

    Bothe, Ingo; Deng, Su; Baylies, Mary

    2014-06-01

    Cell-cell fusion is a regulated process that requires merging of the opposing membranes and underlying cytoskeletons. However, the integration between membrane and cytoskeleton signaling during fusion is not known. Using Drosophila, we demonstrate that the membrane phosphoinositide PI(4,5)P2 is a crucial regulator of F-actin dynamics during myoblast fusion. PI(4,5)P2 is locally enriched and colocalizes spatially and temporally with the F-actin focus that defines the fusion site. PI(4,5)P2 enrichment depends on receptor engagement but is upstream or parallel to actin remodeling. Regulators of actin branching via Arp2/3 colocalize with PI(4,5)P2 in vivo and bind PI(4,5)P2 in vitro. Manipulation of PI(4,5)P2 availability leads to impaired fusion, with a reduction in the F-actin focus size and altered focus morphology. Mechanistically, the changes in the actin focus are due to a failure in the enrichment of actin regulators at the fusion site. Moreover, improper localization of these regulators hinders expansion of the fusion interface. Thus, PI(4,5)P2 enrichment at the fusion site encodes spatial and temporal information that regulates fusion progression through the localization of activators of actin polymerization.

  5. Acidification triggers Andes hantavirus membrane fusion and rearrangement of Gc into a stable post-fusion homotrimer.

    Science.gov (United States)

    Acuña, Rodrigo; Bignon, Eduardo A; Mancini, Roberta; Lozach, Pierre-Yves; Tischler, Nicole D

    2015-11-01

    The hantavirus membrane fusion process is mediated by the Gc envelope glycoprotein from within endosomes. However, little is known about the specific mechanism that triggers Gc fusion activation, and its pre- and post-fusion conformations. We established cell-free in vitro systems to characterize hantavirus fusion activation. Low pH was sufficient to trigger the interaction of virus-like particles with liposomes. This interaction was dependent on a pre-fusion glycoprotein arrangement. Further, low pH induced Gc multimerization changes leading to non-reversible Gc homotrimers. These trimers were resistant to detergent, heat and protease digestion, suggesting characteristics of a stable post-fusion structure. No acid-dependent oligomerization rearrangement was detected for the trypsin-sensitive Gn envelope glycoprotein. Finally, acidification induced fusion of glycoprotein-expressing effector cells with non-susceptible CHO cells. Together, the data provide novel information on the Gc fusion trigger and its non-reversible activation involving lipid interaction, multimerization changes and membrane fusion which ultimately allow hantavirus entry into cells.

  6. Sensor Data Fusion

    DEFF Research Database (Denmark)

    Plascencia, Alfredo; Stepán, Petr

    2006-01-01

    The main contribution of this paper is to present a sensor fusion approach to scene environment mapping as part of a Sensor Data Fusion (SDF) architecture. This approach involves combined sonar array with stereo vision readings.  Sonar readings are interpreted using probability density functions...... to the occupied and empty regions. Scale Invariant Feature Transform (SIFT) feature descriptors are interpreted using gaussian probabilistic error models. The use of occupancy grids is proposed for representing the sensor readings. The Bayesian estimation approach is applied to update the sonar array......  and the SIFT descriptors' uncertainty grids. The sensor fusion yields a significant reduction in the uncertainty of the occupancy grid compared to the individual sensor readings....

  7. Multibiometrics Belief Fusion

    CERN Document Server

    Kisku, Dakshina Ranjan; Gupta, Phalguni

    2010-01-01

    This paper proposes a multimodal biometric system through Gaussian Mixture Model (GMM) for face and ear biometrics with belief fusion of the estimated scores characterized by Gabor responses and the proposed fusion is accomplished by Dempster-Shafer (DS) decision theory. Face and ear images are convolved with Gabor wavelet filters to extracts spatially enhanced Gabor facial features and Gabor ear features. Further, GMM is applied to the high-dimensional Gabor face and Gabor ear responses separately for quantitive measurements. Expectation Maximization (EM) algorithm is used to estimate density parameters in GMM. This produces two sets of feature vectors which are then fused using Dempster-Shafer theory. Experiments are conducted on multimodal database containing face and ear images of 400 individuals. It is found that use of Gabor wavelet filters along with GMM and DS theory can provide robust and efficient multimodal fusion strategy.

  8. Fusion research at ORNL

    Energy Technology Data Exchange (ETDEWEB)

    1982-03-01

    The ORNL Fusion Program includes the experimental and theoretical study of two different classes of magnetic confinement schemes - systems with helical magnetic fields, such as the tokamak and stellarator, and the ELMO Bumpy Torus (EBT) class of toroidally linked mirror systems; the development of technologies, including superconducting magnets, neutral atomic beam and radio frequency (rf) heating systems, fueling systems, materials, and diagnostics; the development of databases for atomic physics and radiation effects; the assessment of the environmental impact of magnetic fusion; and the design of advanced demonstration fusion devices. The program involves wide collaboration, both within ORNL and with other institutions. The elements of this program are shown. This document illustrates the program's scope; and aims by reviewing recent progress.

  9. Peaceful Uses of Fusion

    Science.gov (United States)

    Teller, E.

    1958-07-03

    Applications of thermonuclear energy for peaceful and constructive purposes are surveyed. Developments and problems in the release and control of fusion energy are reviewed. It is pointed out that the future of thermonuclear power reactors will depend upon the construction of a machine that produces more electric energy than it consumes. The fuel for thermonuclear reactors is cheap and practically inexhaustible. Thermonuclear reactors produce less dangerous radioactive materials than fission reactors and, when once brought under control, are not as likely to be subject to dangerous excursions. The interaction of the hot plasma with magnetic fields opens the way for the direct production of electricity. It is possible that explosive fusion energy released underground may be harnessed for the production of electricity before the same feat is accomplished in controlled fusion processes. Applications of underground detonations of fission devices in mining and for the enhancement of oil flow in large low-specific-yield formations are also suggested.

  10. Gait recognition based on dynamic & static information fusion and dynamic bayesian network%动静态信息融合及动态贝叶斯网络的步态识别

    Institute of Scientific and Technical Information of China (English)

    杨旗; 薛定宇

    2012-01-01

    Gait is an important biological characteristics in the long distance video surveillance field. Nowadays, almost all gait recognition researcher focus on gait recognition only under one single condition. However, the gait recognition rate rapidly decline in blended conditions, for example when somebody is wearing a coat or carrying a bag. Based on our analysis of the gait timing characteristics during the human movements, we propose a new gait recognition approach that expresses dynamic information and static information by using a dynamic Bayesian networw (DSIF - DBN). The DSIF - DBN contains three levels of states and for every time slice of the DSIF - DBN model is expressed by the fusion of dynamic information and static information . This model can exectly express the timing characteristics of the gait, which are the body posture and the range of motion, as well as other gait rhythmic change characteristics. Experimental result show that the DSIF - DBN model recognizes gait with high rates and good robustness to noise and lost of information. The DSIF - DBN model can fuse the dynamic information as well as static information and can greatly reduce the impact of gait recognition rates when somebody is wearing a coat or carrying a bag.%步态是远距离视频监控领域最具潜力的生物特征.目前对步态的识别研究大都是考虑单一条件下步态的识别率,但在穿外套、背包等混合条件下识别率较低,通过分析人体行走时步态的时序特征,提出一种基于动静态信息相结合的多信息融合的动态贝叶斯网络( DSIF-DBN).模型含有3层状态,模型中每个时间片都为静态信息和动态信息的融合.此模型能很好地表达步态的时序特性,即步态行走时人体姿态,运动幅度等特征的节奏性变化.实验结果表明该方法有较高的识别率,能有机地融合步态的静态信息及动态信息,并且在有噪声及信息缺失的情况下有较好的鲁棒性,大大降低

  11. Fusion Propulsion Study

    Science.gov (United States)

    1989-07-01

    of propellant can be millions of times greater than the fuel, only a tiny fraction can completely push out the fuel. If the plasma is moving at a... push -plate for various explosive yields. It appears that the maximum specific impulse for such a system is -4000 to 5000 sec and increasing the base...Energy Agency, 1977, p. 507. Bourque, R.F., "OHTE as a Fusion Reactor," Proc. 4th Topl. Mt,. Tecnology of Controlled NV?4clear Fusion, King of Prussia

  12. Atomic data for fusion

    Energy Technology Data Exchange (ETDEWEB)

    Hunter, H.T.; Kirkpatrick, M.I.; Alvarez, I.; Cisneros, C.; Phaneuf, R.A. (eds.); Barnett, C.F.

    1990-07-01

    This report provides a handbook of recommended cross-section and rate-coefficient data for inelastic collisions between hydrogen, helium and lithium atoms, molecules and ions, and encompasses more than 400 different reactions of primary interest in fusion research. Published experimental and theoretical data have been collected and evaluated, and the recommended data are presented in tabular, graphical and parametrized form. Processes include excitation and spectral line emission, charge exchange, ionization, stripping, dissociation and particle interchange reactions. The range of collision energies is appropriate to applications in fusion-energy research.

  13. Fusion Welding Research.

    Science.gov (United States)

    2014-09-26

    RD-AlSO 253 FUSION WELDING RESEARCH(U) MASSACHUSETTS INST OF TECH L/I CAMBRIDGE DEPT OF MATERIALS SCIENCE AND ENGINEERING T W EAGAR ET AL. 30 RPR 85...NUMBER 12. GOV’ ACCESSION NO. 3. RECICIE-S CATALOG NUMBER 4. T TL V nd Subtitle) S. P OFRPR PERIOD COVERED 5t h A~nnual Technical Report Fusion Welding ...research S on welding processes. Studies include metal vapors in the arc, development of a high speed infrared temperature monitor, digital signal

  14. Introducing International Journal of Anatomical Variations

    Directory of Open Access Journals (Sweden)

    Tunali S

    2008-06-01

    Full Text Available Welcome to International Journal of Anatomical Variations (IJAV - an annual journal of anatomical variations and clinical anatomy case reports. After having a notable experience for eight years in NEUROANATOMY, we are pleased to introduce you IJAV. We are eventually announcing our new journal after three years of feasibility and background study period. We hope that IJAV will fill in the gap in anatomy journals’ bunch. IJAV is an annual, open access journal having electronic version only. Despite of unavailability of a budget for publishing IJAV, the evaluation of submissions and access to the full text articles is totally free of charge.Our vision for IJAV is to constitute an online compendium for anatomical variations in gross, radiological and surgical anatomy, neuroanatomy and case reports in clinical anatomy. We believe that cases have an important role in clinical anatomy education. In this aspect, we aim to serve as an open source of case reports. We hope that IJAV will be cited in most of the case reports related to clinical anatomy and anatomical variations in near future.In NEUROANATOMY, we encouraged the submission of case reports in the area of neuroanatomy. Whereas in IJAV, besides neuroanatomy, we will consider case reports in any area related to human anatomy. The scope of IJAV will encompass any anatomical variations in gross, radiological and surgical anatomy. Case reports in clinical anatomy are also welcome.All submitted articles will be peer-reviewed. No processing fee will be charged from authors. One of the most important features of IJAV will be speedy review and rapid publication. We strive to publish an accepted manuscript within three weeks of initial submission. Our young and dynamic Scientific Advisory Board will achieve this objective.A few remarks about our logo and page design: Prof. Dr. M. Mustafa ALDUR designed our logo, being inspired by a quadricuspid aortic valve case, reported by Francesco FORMICA et al

  15. An essay concerning human understanding: how the cerebri anatome of Thomas Willis influenced John Locke.

    Science.gov (United States)

    Lega, Bradley C

    2006-03-01

    Neurosurgeons are familiar with the anatomic investigations of Thomas Willis, but his intellectual legacy actually extends into the arena of philosophy. John Locke was a student of Willis while at Oxford, and this essay explores how some of Willis's anatomic discoveries might have influenced the ideas Locke expressed in his Essay Concerning Human Understanding. It also includes historical information about 17th century England and the group of men (including Christopher Wren and Robert Boyle) who worked with Willis and founded the Oxford Experimental Philosophy Club, which became the Royal Society.

  16. 基于PC A-S VM多生理信息融合的情绪识别方法%An emotion recognition method of multiphysiological information fusion based on PCA-SVM

    Institute of Scientific and Technical Information of China (English)

    李发权; 杨立才; 颜红博

    2014-01-01

    To reduce the complexity of the emotion-recognition algorithm caused by multiphysiological information fu-sion an emotion recognition method based on Principal Component Analysis (PCA ) and Support Vector Machine (SVM)was proposed.The influential weights of emotion recognition were calculated for initial features by the PCA, and the features of which the weights were larger than a certain threshold were selected to compose the new feature set. Thus the dimension of the classifierinputs could be reduced so that the complexity of the algorithm will be simplified. Experimental results showed that the PCA-SVM algorithm for sentiment analysis could effectively improve the efficiency of emotion recognition.%为了有效解决情绪识别过程中多种生理信息融合所导致的运算量过大的问题,提出了一种主成分分析(principal component analysis,PCA)与支持向量机(support vector machine,SVM)相结合的情绪识别方法。利用主成分分析法,求出各特征对情绪识别效果的影响权重,通过阈值法选择权重较大的特征组成新的特征子集,从而减少SVM的输入特征维数,降低算法的运算量。试验结果表明,该方法可以有效提高算法的执行效率。

  17. Information Fusion Approach of Two-phase Group Decision-making Problem Based on Prospect Theory%基于前景理论的两阶段群体信息集结方法

    Institute of Scientific and Technical Information of China (English)

    江文奇

    2014-01-01

    The difference between actual behavior and expected utility in multi-criteria decision-making problems could be solved effectively based on prospect theory.This paper proposes a method of information fusion through two stages for multi-criteria group decision-making problems.In the first stage,we set reference points using median method,and define the interval of decision-makers' weights.The nonlinear programming model could be built with maximal comprehensive prospect value of these alternatives under single criteria.In the second stage,multiple criteria decision optimization model is offered with maximal comprehensive prospect value of all the alternatives,the alternatives rank are also given.Finally,numerical example illustrates the feasibility of the method.%前景理论可以有效解决多准则决策中实际行为与期望效用之间的差异.针对多准则群体决策问题,提出一种基于前景理论的两阶段信息集结方法.第一阶段,运用中位数法设定参考点,界定决策者权重区间,以单准则下方案综合前景值最大建立非线性规划模型;第二阶段,以所有方案综合前景值最大为目标,构建多准则决策优化模型,并进行方案排序.最后运用案例说明了方法的可行性.

  18. Secure Sensor Semantic Web and Information Fusion

    Science.gov (United States)

    2014-06-25

    assumptions on the opponent’s knowledge, the distribution of corrupted data, and available computing resources. In practice, adversaries are seldom optimal...financial crisis to ensure that this does not happen in the future. Our third paper is on credit card fraud analysis. While there has been work in this area...Sharing, PAISI (Pacific Asia Intelligence and Security Informatics) May 2012, Kuala Lumpur, Malaysia . (presented by Prof. Latifur Khan) 4. Assured Cloud

  19. NATO Task Group on Information Fusion

    Science.gov (United States)

    2004-04-01

    examples taken from a course in Intelligence for OOTW given by WO1 Dave Steer, Defence Intelligence and Security Centre , Chicksands, UK. All names and...Crissy BARNEY was seen by the Enterprise Centre , GR 7101 3523. She was alone. • 6 May at 142011rs, Allan KAUGNOT and Sean KAUGNOT were seen by CCTV sat...Mk 15 Mor 14 Jul Shoot 7 May //X/X//Mk 15 Mor 5 May WEAPONS A llan K A U G N O T A lly M O R R IS R obert K O K S Jim M cC BA LE Brian BY R R IS D

  20. Information

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    There are unstructured abstracts (no more than 256 words) and structured abstracts (no more than 480). The specific requirements for structured abstracts are as follows:An informative, structured abstracts of no more than 4-80 words should accompany each manuscript. Abstracts for original contributions should be structured into the following sections. AIM (no more than 20 words): Only the purpose should be included. Please write the aim as the form of "To investigate/ study/..."; MATERIALS AND METHODS (no more than 140 words); RESULTS (no more than 294 words): You should present P values where appropnate and must provide relevant data to illustrate how they were obtained, e.g. 6.92 ± 3.86 vs 3.61 ± 1.67, P< 0.001; CONCLUSION (no more than 26 words).

  1. Endoscopic expand transnasal approach to the suprasellar region :anatomical study and clinical considerations

    Institute of Scientific and Technical Information of China (English)

    LU Xiao-jie; CHEN Kai-lai; WANG Qin; JI Wei-yang; LI Bing; SUN Ji-yong; LI Jiang-an

    2009-01-01

    Backgroud The expanded endonasal approach (EEA) is used sparingly by surgeons for resection of lesions in the ventrocranial base. Herein, we examined the anatomy of the ventrocranial base by endoscopy and comment on the use of EEA in clinical practice.Methods Twenty artery-injected adult cadaveric heads were studied under surgical conditions using the endoscopic EEA. The extent of the surgical exposure, the endoscopic anatomic view and the maneuverability of surgical instruments about the suprasellar region were studied by the endoscopic EEA.Results The EEA by endoscope can reach the suprasellar region. In this approach, the optocarotid recess, supra and infra-optic chiasm interspace, the ophthalmic artery and others were important anatomical landmarks for identification of the suprasellar region.Conclusions The endoscopic EEA can be used to remove many types of lesions in the ventrocranial base. The microanatorny observed using the endoscope provides important anatomical information on the suprasellar region for neurosurgeons.

  2. Identification keys on rattans (Calamus spp. from Central Sulawesi based on anatomical structure of stems

    Directory of Open Access Journals (Sweden)

    ANDI TANRA TELLU

    2005-04-01

    Full Text Available This study was conducted to obtain information the anatomical characteristics of 20 rattan species from Central Sulawesi and to use it for anatomical identification of rattan species. The rattan comprised 16 Calamus species, three Daemonorops species and one Korthalsia species. For anatomical observation 10-15 mm pieces of the mature stem from shares of tip do not have frond were processed with polyethilene glycol 2000, cut at 18-32 µm and stained with a combination of acridin-cryzoidin red and astrablue. Cleared preparation were used to observe stegmata, and macerated material was used to measure the length of fibers and vessel elements. Anilin sulfate was used to confirm the existence of lignin. Anatomical characteristics used in identification were shape and will thickening of epidermal cells and the position stomata at epidermal; the arrangement of sub epidermal parenchyma; composition of vascular bundles and their distribution; the shape and arrangement of central ground parenchyma and the occurrence of fiber bundles. The research result indicated that the anatomical character can be compiled to a key identify the rattan at genus and species level.

  3. Infrared and visible images fusion based on RPCA and NSCT

    Science.gov (United States)

    Fu, Zhizhong; Wang, Xue; Xu, Jin; Zhou, Ning; Zhao, Yufei

    2016-07-01

    Current infrared and visible images fusion algorithms cannot efficiently extract the object information in the infrared image while retaining the background information in visible image. To address this issue, we propose a new infrared and visible image fusion algorithm by taking advantage of robust principal component analysis (RPCA) and non-subsampled Contourlet transform (NSCT). Firstly, RPCA decomposition is performed on the infrared and visible images respectively to obtain their corresponding sparse matrixes, which can well represent the sparse feature of images. Secondly, the infrared and visible images are decomposed into low frequency sub-band and high-frequency sub-band coefficients by using NSCT. Subsequently, the sparse matrixes are used to guide the fusion rule of low frequency sub-band coefficients and high frequency sub-band coefficients. Experimental results demonstrate that our fusion algorithm can highlight the infrared objects as well as retain the background information in visible image.

  4. Fusion engineering device design description

    Energy Technology Data Exchange (ETDEWEB)

    Flanagan, C.A.; Steiner, D.; Smith, G.E.

    1981-12-01

    The US Magnetic Fusion Engineering Act of 1980 calls for the operation of a Fusion Engineering Device (FED) by 1990. It is the intent of the Act that the FED, in combination with other testing facilities, will establish the engineering feasibility of magnetic fusion energy. During 1981, the Fusion Engineering Design Center (FEDC), under the guidance of a Technical Management Board (TMB), developed a baseline design for the FED. This design is summarized herein.

  5. Fusion Engineering Device design description

    Energy Technology Data Exchange (ETDEWEB)

    Flanagan, C.A.; Steiner, D.; Smith, G.E.

    1981-12-01

    The US Magnetic Fusion Engineering Act of 1980 calls for the operation of a Fusion Engineering Device (FED) by 1990. It is the intent of the Act that the FED, in combination with other testing facilities, will establish the engineering feasibility of magnetic fusion energy. During 1981, the Fusion Engineering Design Center (FEDC), under the guidance of a Technical Management Board (TMB), developed a baseline design for the FED. This design is summarized herein.

  6. The anatomical diaspora: evidence of early American anatomical traditions in North Dakota.

    Science.gov (United States)

    Stubblefield, Phoebe R

    2011-09-01

    The current focus in forensic anthropology on increasing scientific certainty in ancestry determination reinforces the need to examine the ancestry of skeletal remains used for osteology instruction. Human skeletal remains were discovered on the University of North Dakota campus in 2007. After recovery, the osteological examination resulted in a profile for a 33- to 46-year-old woman of African descent with stature ranging from 56.3 to 61.0 in. The pattern of postmortem damage indicated that the remains had been prepared for use as an anatomical teaching specimen. Review of the American history of anatomical teaching revealed a preference for Black subjects, which apparently extended to states like North Dakota despite extremely low resident populations of people of African descent. This study emphasizes the need to examine the ancestry of older teaching specimens that lack provenience, rather than assuming they are derived from typical (i.e., Indian) sources of anatomical material.

  7. FUSION OF MULTI FOCUSED IMAGES USING HDWT FOR MACHINE VISION

    Directory of Open Access Journals (Sweden)

    S. Arumuga Perumal

    2011-10-01

    Full Text Available During image acquisition in machine vision, due to limited depth of field of lens, it is possible to take clear image of the objects in the scene which are in focus only. The remaining objects in the scene will be out of focus. A possible solution to bring clear images of all objects in the scene is image fusion. Image fusion is a process of combining multiple images to form the composite image with extended information content. This paper uses three band expansive higher density discrete wavelet transform to fuse two numbers of images focusing different objects in the same scene and also proposes three methods for image fusion. Experimental results on multi focused image fusion are presented in terms of root mean square, peak signal to noise ratio and quality index to illustrate the proposed fusion methods.

  8. Elastic scattering, fusion, and breakup of light exotic nuclei

    Energy Technology Data Exchange (ETDEWEB)

    Kolata, J.J. [University of Notre Dame, Physics Department, Notre Dame, IN (United States); Guimaraes, V. [Universidade de Sao Paulo, Instituto de Fisica, Sao Paulo, SP (Brazil); Aguilera, E.F. [Instituto Nacional de Investigaciones Nucleares, Departamento de Aceleradores, Mexico, Distrito Federal (Mexico)

    2016-05-15

    The present status of fusion reactions involving light (A< 20) radioactive projectiles at energies around the Coulomb barrier (E<10 MeV per nucleon) is reviewed, emphasizing measurements made within the last decade. Data on elastic scattering (providing total reaction cross section information) and breakup channels for the involved systems, demonstrating the relationship between these and the fusion channel, are also reviewed. Similarities and differences in the behavior of fusion and total reaction cross section data concerning halo nuclei, weakly-bound but less exotic projectiles, and strongly-bound systems are discussed. One difference in the behavior of fusion excitation functions near the Coulomb barrier seems to emerge between neutron-halo and proton-halo systems. The role of charge has been investigated by comparing the fusion excitation functions, properly scaled, for different neutron- and proton-rich systems. Possible physical explanations for the observed differences are also reviewed. (orig.)

  9. Advances in Multi-Sensor Data Fusion: Algorithms and Applications

    Directory of Open Access Journals (Sweden)

    Jingying Fu

    2009-09-01

    Full Text Available With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a promising research area since the end of the last century. The paper presents an overview of recent advances in multi-sensor satellite image fusion. Firstly, the most popular existing fusion algorithms are introduced, with emphasis on their recent improvements. Advances in main applications fields in remote sensing, including object identification, classification, change detection and maneuvering targets tracking, are described. Both advantages and limitations of those applications are then discussed. Recommendations are addressed, including: (1 Improvements of fusion algorithms; (2 Development of “algorithm fusion” methods; (3 Establishment of an automatic quality assessment scheme.

  10. An efficient fusion approach for combining human and machine decisions

    Science.gov (United States)

    Lee, Hyungtae; Kwon, Heesung; Robinson, Ryan M.; Nothwang, William D.; Marathe, Amar R.

    2016-05-01

    A novel approach for the fusion of heterogeneous object classification methods is proposed. In order to effectively integrate the outputs of multiple classifiers, the level of ambiguity in each individual classification score is estimated using the precision/recall relationship of the corresponding classifier. The main contribution of the proposed work is a novel fusion method, referred to as Dynamic Belief Fusion (DBF), which dynamically assigns probabilities to hypotheses (target, non-target, intermediate state (target or non-target) based on confidence levels in the classification results conditioned on the prior performance of individual classifiers. In DBF, a joint basic probability assignment, which is obtained from optimally fusing information from all classifiers, is determined by the Dempster's combination rule, and is easily reduced to a single fused classification score. Experiments on RSVP dataset demonstrates that the recognition accuracy of DBF is considerably greater than that of the conventional naive Bayesian fusion as well as individual classifiers used for the fusion.

  11. Anterior cervical fusion and Caspar plate stabilization for cervical trauma.

    Science.gov (United States)

    Caspar, W; Barbier, D D; Klara, P M

    1989-10-01

    A technique for anterior cervical iliac graft fusion with standardized, commercially available screw and plate fixation (Caspar plating) has been developed. The step-by-step procedure, as well as the instruments designed to facilitate the procedure, are described in this report. Sixty cases of cervical trauma (fractures, subluxations, ligamentous instability, or a combination of these problems) were treated with Caspar plating. All patients obtained fusion, and stability was achieved immediately after surgery without external stabilization. No unusual surgical complications occurred, and the most dreaded complication of dural penetration by drilling or screw placement was not observed. This report details the neurological presentation, anatomical lesions, surgical therapy, and outcome of these patients. Caspar plating combines the advantage of an anterior surgical approach with immediate postoperative stabilization without external stabilization. This advantage persists even in the presence of posterior ligamentous instability. The technique is an important addition to the surgical treatment of cervical trauma.

  12. Synergetic Multisensor Fusion

    Science.gov (United States)

    1990-11-30

    technology have led to increased interest in using DEMs for navigation and other applications. In particular, DEMs are attractive for use in aircraft...Multisensor Fusion for Computer Vision [67]. 30 6. POSI!IONAL zSTIM&TION TECEnIQUzs FOR AN OUTDOOR MOBLE ROBOT The autonomous navigation of mobile robots is

  13. Bouillabaisse sushi fusion power

    CERN Multimedia

    2004-01-01

    "If avant-garde cuisine is any guide, Japanese-French fusion does not work all that well. And the interminable discussions over the International Thermonuclear Experimental Reactor (ITER) suggest that what is true of cooking is true of physics" (1 page)

  14. International fusion og spaltning

    DEFF Research Database (Denmark)

    Hansen, Lone L.

    Bogen analyserer de nye muligheder fra 2007 i europæisk ret med hensyn til fusion eller spaltning mellem aktieselskaber og anpartsselskaber med hjemsted i forskellige europæiske lande. Bogen gennemgår de nye muligheder for strukturændringer, der herved er opstået mulighed for, og den sætter fokus...

  15. Fusion reactor materials

    Energy Technology Data Exchange (ETDEWEB)

    none,

    1989-01-01

    This paper discuses the following topics on fusion reactor materials: irradiation, facilities, test matrices, and experimental methods; dosimetry, damage parameters, and activation calculations; materials engineering and design requirements; fundamental mechanical behavior; radiation effects; development of structural alloys; solid breeding materials; and ceramics.

  16. Iterative guided image fusion

    Directory of Open Access Journals (Sweden)

    Alexander Toet

    2016-08-01

    Full Text Available We propose a multi-scale image fusion scheme based on guided filtering. Guided filtering can effectively reduce noise while preserving detail boundaries. When applied in an iterative mode, guided filtering selectively eliminates small scale details while restoring larger scale edges. The proposed multi-scale image fusion scheme achieves spatial consistency by using guided filtering both at the decomposition and at the recombination stage of the multi-scale fusion process. First, size-selective iterative guided filtering is applied to decompose the source images into approximation and residual layers at multiple spatial scales. Then, frequency-tuned filtering is used to compute saliency maps at successive spatial scales. Next, at each spatial scale binary weighting maps are obtained as the pixelwise maximum of corresponding source saliency maps. Guided filtering of the binary weighting maps with their corresponding source images as guidance images serves to reduce noise and to restore spatial consistency. The final fused image is obtained as the weighted recombination of the individual residual layers and the mean of the approximation layers at the coarsest spatial scale. Application to multiband visual (intensified and thermal infrared imagery demonstrates that the proposed method obtains state-of-the-art performance for the fusion of multispectral nightvision images. The method has a simple implementation and is computationally efficient.

  17. Muon catalyzed fusion

    Energy Technology Data Exchange (ETDEWEB)

    Ishida, K. [Advanced Meson Science Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198 (Japan); Nagamine, K. [Muon Science Laboratory, IMSS-KEK, 1-1 Oho, Tsukuba, Ibaraki 305-0801 (Japan); Matsuzaki, T. [Advanced Meson Science Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198 (Japan); Kawamura, N. [Muon Science Laboratory, IMSS-KEK, 1-1 Oho, Tsukuba, Ibaraki 305-0801 (Japan)

    2005-12-15

    The latest progress of muon catalyzed fusion study at the RIKEN-RAL muon facility (and partly at TRIUMF) is reported. The topics covered are magnetic field effect, muon transfer to {sup 3}He in solid D/T and ortho-para effect in dd{mu} formation.

  18. CRTC1-MAML2 gene fusion in mucoepidermoid carcinoma of the lacrimal gland

    DEFF Research Database (Denmark)

    von Holstein, Sarah Linea; Fehr, André; Heegaard, Steffen

    2012-01-01

    -grade MEC of the lacrimal gland. There were no signs of recurrence or metastases during a five-year follow-up. Using RT-PCR and FISH we demonstrated that the tumor was positive for the CRTC1-MAML2 gene fusion previously shown to be associated with in particular low-grade salivary MECs with favorable...... prognosis. By immunohistochemistry we showed that the majority of tumor cells, including epidermoid, intermediate and mucous producing cells, expressed the CRTC1-MAML2 fusion protein. In contrast, 15 non-MEC lacrimal neoplasm were fusion-negative. Our findings show that lacrimal MEC is not only clinically...... anatomical sites and organs. Moreover, our findings indicate that the CRTC1-MAML2 fusion may be a useful diagnostic and prognostic biomarker for lacrimal MEC....

  19. Direct lateral interbody fusion (DLIF) at the lumbosacral junction L5-S1.

    Science.gov (United States)

    Shirzadi, Ali; Birch, Kurtis; Drazin, Doniel; Liu, John C; Acosta, Frank

    2012-07-01

    The direct lateral interbody fusion (DLIF), a minimally invasive lateral approach for placement of an interbody fusion device, does not require nerve root retraction or any contact with the great vessels and can lead to short operative times with little blood loss. Due to anatomical restrictions, this procedure has not been used at the lumbosacral (L5-S1) junction. Lumbosacral transitional vertebrae (LSTV), a structural anomaly of the lumbosacral spine associated with low back pain, can result in a level being wrongly identified pre-operatively due to misnumbering of the vertebral levels. To our knowledge, use of the DLIF graft in this patient is the first report of an interbody fusion graft being placed at the disc space between the LSTV and S1 via the transpsoas route. We present a review of the literature regarding the LSTV variation as well as the lateral placement of interbody fusion grafts at the lumbosacral junction.

  20. A computer tool for the fusion and visualization of thermal and magnetic resonance images.

    Science.gov (United States)

    Bichinho, Gerson Linck; Gariba, Munir Antonio; Sanches, Ionildo José; Gamba, Humberto Remigio; Cruz, Felipe Pardal Franco; Nohama, Percy

    2009-10-01

    The measurement of temperature variation along the surface of the body, provided by digital infrared thermal imaging (DITI), is becoming a valuable auxiliary tool for the early detection of many diseases in medicine. However, DITI is essentially a 2-D technique and its image does not provide useful anatomical information associated with it. However, multimodal image registration and fusion may overcome this difficulty and provide additional information for diagnosis purposes. In this paper, a new method of registering and merging 2-D DITI and 3-D MRI is presented. Registration of the images acquired from the two modalities is necessary as they are acquired with different image systems. Firstly, the body volume of interest is scanned by a MRI system and a set of 2-D DITI of it, at orthogonal angles, is acquired. Next, it is necessary to register these two different sets of images. This is done by creating 2-D MRI projections from the reconstructed 3-D MRI volume and registering it with the DITI. Once registered, the DITI is then projected over the 3-D MRI. The program developed to assess the proposed method to combine MRI and DITI resulted in a new tool for fusing two different image modalities, and it can help medical doctors.