WorldWideScience

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. 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.

  3. Ankle Joint Fusion With an Anatomically Preshaped Anterior Locking Plate.

    Science.gov (United States)

    Wiewiorski, Martin; Barg, Alexej; Schlemmer, Thomas; Valderrabano, Victor

    2016-01-01

    We present a novel fixation plate for primary ankle joint fusion. A single anatomically preshaped angular stable plate was used with an anterior approach. An excellent result with good bone consolidation was present at the 1-year follow-up examination. PMID:25998475

  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 in Multimedia Information Retrieval

    OpenAIRE

    Kludas, Jana; Bruno, Eric; Marchand-Maillet, Stéphane

    2007-01-01

    In retrieval, indexing and classification of multimedia data an efficient information fusion of the different modalities is essential for the system's overall performance. Since information fusion, its influence factors and performance improvement boundaries have been lively dis- cussed in the last years in different research communities, we will review their latest findings. They most importantly point out that exploiting the feature's and modality's dependencies will yield to maximal perfor...

  8. 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%.

  9. 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?

  10. International information exchange in fusion research

    International Nuclear Information System (INIS)

    Formal and informal agreements exist between the US and several other countries, assuring the unrestricted exchange of magnetic fusion information. The Fusion Energy Library at Oak Ridge National Laboratory uses the US Department of Energy standard distribution system and exchange agreements to ensure the receipt of current reports. Selective dissemination of information, computer networks, and exchange programs are additional means for information gathering. The importance of these means as they relate to the fusion program in the US and specifically at ORNL is discussed

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

    International Nuclear Information System (INIS)

    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

  12. Information fusion for diagnosis coding support.

    Science.gov (United States)

    Lecornu, L; Le Guillou, C; Le Saux, F; Hubert, M; Puentes, J; Montagner, J; Cauvin, J M

    2011-01-01

    All patient-related medical information during a hospital stay in France, has to be collected and coded in the compilation of medical units discharge documents, according to a standardized approach. The process of describing a patient disease in terms of appropriate diagnostic codes is nevertheless, a non-intuitive operation for the physician. As a consequence, coding errors, inaccuracies and missing data are frequent, leading to potentially severe economical upshots. A coding support system developed to improve medical coding results, integrates three information processing methodologies, using the outputs from various Hospital Information System applications. Each methodology generates partial heterogeneous information, with considerable semantic variety. In order to properly synthesize these outputs, information fusion is required to produce enriched contextualized information, presented to the physician as an ordered list of suggested codes. This paper explores two information fusion approaches: voting system and possibilistic. Both methods are tested on a database of 1,000 discharge summaries, to show the interest of information fusion in this context. Results show that fusion methods perform better in most of the cases than partial information extraction methods. PMID:22255014

  13. 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.

  14. 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.

  15. 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.

  16. 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...

  17. 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.

  18. 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.

  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. Anatomical variations of paranasal sinuses: what to inform the otolaryngologist?

    International Nuclear Information System (INIS)

    Anatomic variations of paranasal sinuses are common findings in daily practice. For a radiologist, to know these variations is necessary because of the pathological conditions related to them, and also because they are import for planning a functional endoscopic endonasal surgery, the procedure of choice for diagnosis, biopsy and treatment of various sinonasal diseases. To assure that this surgery is done safely, preventing iatrogenic injuries, it is essential that the surgeon has the mapping of these structures. Thus, a CT is indispensable for preoperative evaluation of paranasal sinuses. Since a general radiologist is expected to know these changes and their relationship to pathological conditions, a literature review and a iconographic essay were conducted with the aim of discussing the importance of major anatomic variations of paranasal sinuses. (author)

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

    Institute of Scientific and Technical Information of China (English)

    朱朝晖; 周前

    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 feci 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 werenegative 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 understand-ing about the lesion and its peripheral structures. The fusion method was simple, practical and useful for localizing metabolically changed lesions.

  2. 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.

  3. Proportional Conflict Redistribution Rules for Information Fusion

    OpenAIRE

    Smarandache, Florentin; Dezert, Jean

    2004-01-01

    In this paper we propose five versions of a Proportional Conflict Redistribution rule (PCR) for information fusion together with several examples. From PCR1 to PCR2, PCR3, PCR4, PCR5 one increases the complexity of the rules and also the exactitude of the redistribution of conflicting masses. PCR1 restricted from the hyper-power set to the power set and without degenerate cases gives the same result as the Weighted Average Operator (WAO) proposed recently by J{\\o}sang, Daniel and Vannoorenber...

  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. 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.

  6. 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.

  7. Anatomic vascular phantom for the verification of MRA and XRA visualization and fusion

    Energy Technology Data Exchange (ETDEWEB)

    Mankovich, N.J. [UCLA School of Medicine, Los Angeles, CA (United States). Dept. of Radiological Sciences]|[Univ. of New South Wales, Sydney (Australia); Lambert, T.; Zrimec, T.; Hiller, J. [Univ. of New South Wales, Sydney (Australia)

    1995-12-31

    A project is underway to develop automated methods of fusing cerebral magnetic resonance angiography (MRA) and x-ray angiography (XRA) for creating accurate visualizations used in planning treatment of vascular disease. The authors have developed a vascular phantom suitable for testing segmentation and fusion algorithms with either derived images (pseudo-MRA/pseudo-XRA) or actual MRA or XRA image sequences. The initial unilateral arterial phantom design, based on normal human anatomy, contains 48 tapering vascular segments with lumen diameters from 2.5 millimeter to 0.25 millimeter. The initial phantom used rapid prototyping technology (stereolithography) with a 0.9 millimeter vessel wall fabricated in an ultraviolet-cured plastic. The model fabrication resulted in a hollow vessel model comprising the internal carotid artery, the ophthalmic artery, and the proximal segments of the anterior, middle, and posterior cerebral arteries. The complete model was fabricated but the model`s lumen could not be cleared for vessels with less than 1 millimeter diameter. Measurements of selected vascular outer diameters as judged against the CAD specification showed an accuracy of 0.14 mm and precision (standard deviation) of 0.15 mm. The plastic vascular model produced provides a fixed geometric framework for the evaluation of imaging protocols and the development of algorithms for both segmentation and fusion.

  8. 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....

  9. Research on information fusion for engineering system integrated health management

    Science.gov (United States)

    Gao, Zhanbao; Li, Xingshan; Sun, Cong; Liu, Qi

    2006-11-01

    Integrated Health Management technology is the emerging paradigm in system supervision and maintenance area, and it is the key to achieving true condition-based maintenance. But this task is complicated by the extremely large amount of the data available, the existence of uncertainties, and interactive engineering system operational conditions. Therefore, it is reasonable to research the health information fusion technology to achieve better performance and a higher level of autonomy for IHM system. This paper analyses the requirements of the information fusion in an IHM system, describes the fusion application areas, proposes the Health Sensing Unit (HSU) concept, and designs the distributed hierarchical fusion architecture. Using the confidence distance matrix as the measure of HSU's performance, this paper proposes a fusion algorithm to fuse multiple HSUs' output, and figure out the system health index according to the maximum likelihood principle. The simulation result yields conclusive evidence that fusion can be very valuable in the IHM technology for the system supervision and maintenance.

  10. 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.

  11. 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.

  12. 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.

  13. RS Image Fusion Technique for Information Preservation

    Institute of Scientific and Technical Information of China (English)

    WU Lianxi; SU Xiaoxia; LI Dajun

    2004-01-01

    A simple spectral preserving image fusion technique, Edge Enhancement Color Normalized (EECN), was proposed to merge two kinds of image data. In addition, a mathematical model was also proposed to evaluate spectral property of the fused production of EECN. The results were clearly demonstrated by an image fusion experiment using Landsat-5 TM and IRS-1C Panchromatic images of Beijing, China. The visual evaluation and mathematical analysis compared with Brovey transform confirmed that the fused image of EECN is quite similar in color to the lower resolution multi-spectral images, and its space resolution is the same as the higher solution panchromatic image.

  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. 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

  17. Information Technology Systems for Fusion Industry and ITER Project

    International Nuclear Information System (INIS)

    The industrial developments in the fusion industry will have to overcome numerous technical challenges and will have a strong need for modern information technology (IT) systems.The fusion industry has manifested itself with an unprecedented international collaboration, the International Thermonuclear Experimental Reactor (ITER). Data accumulated in ITER will be the major output of the project and will create the knowledge base for a future fusion power plant. A modern and effective information infrastructure will be critical to the success of the ITER project.To accumulate and maintain the knowledge base at all stages of the project, we propose to build an integrated information system for ITER: ITER Information Plant (IIP). IIP will minimize lost experiment time and accelerate the understanding, interpretation, and planning of fusion experiments. IIP will allow to reap maximum benefits from the project's scientific and technological achievements, make the ITER results accessible to hundreds of researchers worldwide. This will facilitate collaboration, dramatically increasing the pace of scientific and technological discovery and the rate at which practical use is made of these discoveries.As the first of its kind, the ITER Information Plant could be used in the future as a prototype IT system for national and international fusion projects, in which multicountry collaboration, distributed work sites and operations are catalysts for success

  18. 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)

  19. Information Fusion Issues in the UK Environmental Science Community

    Science.gov (United States)

    Giles, J. R.

    2010-12-01

    The Earth is a complex, interacting system which cannot be neatly divided by discipline boundaries. To gain an holistic understanding of even a component of an Earth System requires researchers to draw information from multiple disciplines and integrate these to develop a broader understanding. But the barriers to achieving this are formidable. Research funders attempting to encourage the integration of information across disciplines need to take into account culture issues, the impact of intrusion of projects on existing information systems, ontologies and semantics, scale issues, heterogeneity and the uncertainties associated with combining information from diverse sources. Culture - There is a cultural dualism in the environmental sciences were information sharing is both rewarded and discouraged. Researchers who share information both gain new opportunities and risk reducing their chances of being first author in an high-impact journal. The culture of the environmental science community has to be managed to ensure that information fusion activities are encouraged. Intrusion - Existing information systems have an inertia of there own because of the intellectual and financial capital invested within them. Information fusion activities must recognise and seek to minimise the potential impact of their projects on existing systems. Low intrusion information fusions systems such as OGC web-service and the OpenMI Standard are to be preferred to whole-sale replacement of existing systems. Ontology and Semantics - Linking information across disciplines requires a clear understanding of the concepts deployed in the vocabulary used to describe them. Such work is a critical first step to creating routine information fusion. It is essential that national bodies, such as geological surveys organisations, document and publish their ontologies, semantics, etc. Scale - Environmental processes operate at scales ranging from microns to the scale of the Solar System and

  20. 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.

  1. The Use of Anatomical Information for Molecular Image Reconstruction Algorithms: Attenuation/Scatter Correction, Motion Compensation, and Noise Reduction.

    Science.gov (United States)

    Chun, Se Young

    2016-03-01

    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. PMID:26941855

  2. 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

  3. Combinatorial Fusion Analysis for Meta Search Information Retrieval

    Science.gov (United States)

    Hsu, D. Frank; Taksa, Isak

    Leading commercial search engines are built as single event systems. In response to a particular search query, the search engine returns a single list of ranked search results. To find more relevant results the user must frequently try several other search engines. A meta search engine was developed to enhance the process of multi-engine querying. The meta search engine queries several engines at the same time and fuses individual engine results into a single search results list. The fusion of multiple search results has been shown (mostly experimentally) to be highly effective. However, the question of why and how the fusion should be done still remains largely unanswered. In this chapter, we utilize the combinatorial fusion analysis proposed by Hsu et al. to analyze combination and fusion of multiple sources of information. A rank/score function is used in the design and analysis of our framework. The framework provides a better understanding of the fusion phenomenon in information retrieval. For example, to improve the performance of the combined multiple scoring systems, it is necessary that each of the individual scoring systems has relatively high performance and the individual scoring systems are diverse. Additionally, we illustrate various applications of the framework using two examples from the information retrieval domain.

  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. Study on Extenics Information Fusion Method and It's Application

    Directory of Open Access Journals (Sweden)

    Li Zhong

    2011-03-01

    Full Text Available This paper makes analysis on theories of D-S evidential reasoning, rough sets, and extenic sets; and indicates that there are some similarities among the three theories in defining uncertainty sets. Therefore, it’s feasible to introduce relevant theories and methods of extenics into information fusion and a method of extenics fusion (MEF is presented as well. The method combines extenic correlation function with Dempster rule and is considered a good solution for problems of evidence collision and BPA function in information fusion method based on D-S evidential reasoning. The simulation test shows that MEF is better than the traditional D-S evidential reasoning and is applicable to assess all kinds of problems. Using the method of this paper to evaluate surface water in one area of Northern China, the results were consistent with the fact.

  6. Voice Command Recognition in Multirobot Systems: Information Fusion

    Directory of Open Access Journals (Sweden)

    Juraj Miček

    2012-11-01

    Therefore, we refrain from the analytical analysis and the choice of appropriate level of information fusion, but in four different scenarios we focus on solving ‘voice command recognition‘ ‐ we would like to show the advantages and disadvantages of individual approaches. The experiments described and the results achieved are based on simulation experiments and verified by experimental and demonstrative MRS.

  7. URREF Reliability versus Credibility in Information Fusion (STANAG 2511)

    OpenAIRE

    Erik Blasch; Kathryn B. Laskey; Anne-Laure Jousselme; Valentina Dragos; Paulo C. G. Costa; Jean Dezert

    2015-01-01

    For many operational information fusion systems, both reliability and credibility are evaluation criteria for collected information. The Uncertainty Representation and Reasoning Evaluation Framework (URREF) is a comprehensive ontology that represents measures of uncertainty. URREF supports standards such as the NATO Standardization Agreement (STANAG) 2511, which incorporates categories of reliability and credibility. Reliability has traditionally been assessed...

  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. 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.

  10. 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.

  11. 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...

  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. PMID:12160343

  13. 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.

  14. 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.

  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. 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.

  17. 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.

  18. 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

  19. The effects of anatomical information and observer expertise on abnormality detection task

    Science.gov (United States)

    Zhang, L.; Cavaro-Ménard, C.; Le Callet, P.; Cooper, L. H. K.; Hunault, G.; Tanguy, J.-Y.

    2011-03-01

    This paper presents a novel study investigating the influences of Magnetic Resonance (MR) image anatomical information and observer expertise on an abnormality detection task. MRI is exquisitely sensitive for detecting brain abnormalities, particularly in the evaluation of white matter diseases, e.g. multiple sclerosis (MS). For this reason, MS lesions are simulated as the target stimuli for detection in the present study. Two different image backgrounds are used in the following experiments: a) homogeneous region of white matter tissue, and b) one slice of a healthy brain MR image. One expert radiologist (more than 10 years' experience), three radiologists (less than 5 years' experience) and eight naïve observers (without any prior medical knowledge) have performed these experiments, during which they have been asked different questions dependent upon level of experience; the three radiologists and eight naïve observers were asked if they were aware of any hyper-signal, likely to represent an MS lesion, while the most experienced consultant was asked if a clinically significant sign was present. With the percentages of response "yes" displayed on the y-axis and the lesion intensity contrasts on the x-axis, psychometric function is generated from the observer' responses. Results of psychometric functions and calculated thresholds indicate that radiologists have better hyper-signal detection ability than naïve observers, which is intuitively shown by the lower simple visibility thresholds of radiologists. However, when radiologists perform a task with clinical implications, e.g. to detect a clinically significant sign, their detection thresholds are elevated. Moreover, the study indicates that for the radiologists, the simple visibility thresholds remain the same with and without the anatomical information, which reduces the threshold for the clinically significant sign detection task. Findings provide further insight into human visual system processing for this

  20. Assessment of anatomic relation between pulmonary perfusion and morphology in pulmonary emphysema with breath-hold SPECT-CT fusion images

    International Nuclear Information System (INIS)

    Anatomic relation between pulmonary perfusion and morphology in pulmonary emphysema was assessed on deep-inspiratory breath-hold (DIBrH) perfusion single-photon emission computed tomography (SPECT)-CT fusion images. Subjects were 38 patients with pulmonary emphysema and 11 non-smoker controls, who successfully underwent DIBrH and non-BrH perfusion SPECT using a dual-headed SPECT system during the period between January 2004 and June 2006. DIBrH SPECT was three-dimensionally co-registered with DIBrH CT to comprehend the relationship between lung perfusion defects and CT low attenuation areas (LAA). By comparing the appearance of lung perfusion on DIBrH with non-BrH SPECT, the correlation with the rate constant for the alveolar-capillary transfer of carbon monoxide (DLCO/VA) was compared between perfusion abnormalities on these SPECTs and LAA on CT. DIBrH SPECT provided fairly uniform perfusion in controls, but significantly enhanced perfusion heterogeneity when compared with non-BrH SPECT in pulmonary emphysema patients (P<0.001). The reliable DIBrH SPECT-CT fusion images confirmed more extended perfusion defects than LAA on CT in majority (73%) of patients. Perfusion abnormalities on DIBrH SPECT were more closely correlated with DLCO/VA than LAA on CT (P<0.05). DIBrH SPECT identifies affected lungs with perfusion abnormality better than does non-BrH SPECT in pulmonary emphysema. DIBrH SPECT-CT fusion images are useful for more accurately localizing affected lungs than morphologic CT alone in this disease. (author)

  1. Characterization of respiratory and cardiac motion from electro-anatomical mapping data for improved fusion of MRI to left ventricular electrograms.

    Directory of Open Access Journals (Sweden)

    Sébastien Roujol

    Full Text Available Accurate fusion of late gadolinium enhancement magnetic resonance imaging (MRI and electro-anatomical voltage mapping (EAM is required to evaluate the potential of MRI to identify the substrate of ventricular tachycardia. However, both datasets are not acquired at the same cardiac phase and EAM data is corrupted with respiratory motion limiting the accuracy of current rigid fusion techniques. Knowledge of cardiac and respiratory motion during EAM is thus required to enhance the fusion process. In this study, we propose a novel approach to characterize both cardiac and respiratory motion from EAM data using the temporal evolution of the 3D catheter location recorded from clinical EAM systems. Cardiac and respiratory motion components are extracted from the recorded catheter location using multi-band filters. Filters are calibrated for each EAM point using estimates of heart rate and respiratory rate. The method was first evaluated in numerical simulations using 3D models of cardiac and respiratory motions of the heart generated from real time MRI data acquired in 5 healthy subjects. An accuracy of 0.6-0.7 mm was found for both cardiac and respiratory motion estimates in numerical simulations. Cardiac and respiratory motions were then characterized in 27 patients who underwent LV mapping for treatment of ventricular tachycardia. Mean maximum amplitude of cardiac and respiratory motion was 10.2±2.7 mm (min = 5.5, max = 16.9 and 8.8±2.3 mm (min = 4.3, max = 14.8, respectively. 3D Cardiac and respiratory motions could be estimated from the recorded catheter location and the method does not rely on additional imaging modality such as X-ray fluoroscopy and can be used in conventional electrophysiology laboratory setting.

  2. Image fusion in dual energy computed tomography for detection of various anatomic structures - Effect on contrast enhancement, contrast-to-noise ratio, signal-to-noise ratio and image quality

    Energy Technology Data Exchange (ETDEWEB)

    Paul, Jijo, E-mail: jijopaul1980@gmail.com [Department of Diagnostic Radiology, Goethe University Hospital, Theodor-Stern-Kai 7, 60590 Frankfurt am Main (Germany); Department of Biophysics, Goethe University, Max von Laue-Str.1, 60438 Frankfurt am Main (Germany); Bauer, Ralf W. [Department of Diagnostic Radiology, Goethe University Hospital, Theodor-Stern-Kai 7, 60590 Frankfurt am Main (Germany); Maentele, Werner [Department of Biophysics, Goethe University, Max von Laue-Str.1, 60438 Frankfurt am Main (Germany); Vogl, Thomas J. [Department of Diagnostic Radiology, Goethe University Hospital, Theodor-Stern-Kai 7, 60590 Frankfurt am Main (Germany)

    2011-11-15

    Objective: The purpose of this study was to evaluate image fusion in dual energy computed tomography for detecting various anatomic structures based on the effect on contrast enhancement, contrast-to-noise ratio, signal-to-noise ratio and image quality. Material and methods: Forty patients underwent a CT neck with dual energy mode (DECT under a Somatom Definition flash Dual Source CT scanner (Siemens, Forchheim, Germany)). Tube voltage: 80-kV and Sn140-kV; tube current: 110 and 290 mA s; collimation-2 x 32 x 0.6 mm. Raw data were reconstructed using a soft convolution kernel (D30f). Fused images were calculated using a spectrum of weighting factors (0.0, 0.3, 0.6 0.8 and 1.0) generating different ratios between the 80- and Sn140-kV images (e.g. factor 0.6 corresponds to 60% of their information from the 80-kV image, and 40% from the Sn140-kV image). CT values and SNRs measured in the ascending aorta, thyroid gland, fat, muscle, CSF, spinal cord, bone marrow and brain. In addition, CNR values calculated for aorta, thyroid, muscle and brain. Subjective image quality evaluated using a 5-point grading scale. Results compared using paired t-tests and nonparametric-paired Wilcoxon-Wilcox-test. Results: Statistically significant increases in mean CT values noted in anatomic structures when increasing weighting factors used (all P {<=} 0.001). For example, mean CT values derived from the contrast enhanced aorta were 149.2 {+-} 12.8 Hounsfield Units (HU), 204.8 {+-} 14.4 HU, 267.5 {+-} 18.6 HU, 311.9 {+-} 22.3 HU, 347.3 {+-} 24.7 HU, when the weighting factors 0.0, 0.3, 0.6, 0.8 and 1.0 were used. The highest SNR and CNR values were found in materials when the weighting factor 0.6 used. The difference CNR between the weighting factors 0.6 and 0.3 was statistically significant in the contrast enhanced aorta and thyroid gland (P = 0.012 and P = 0.016, respectively). Visual image assessment for image quality showed the highest score for the data reconstructed using the

  3. 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.

  4. 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.]. PMID:27111081

  5. 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.].

  6. 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.

  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. NERC's Science Information Strategy - promoting information fusion across the Environmental Sciences

    Science.gov (United States)

    Thorley, M.; Thomas, D.; Brown, M.; Giles, J. R.

    2010-12-01

    The Natural Environmental Research Council (NERC) in the UK is responsible for funding environmental research in universities and running a number of research centres; such as the British Geological Survey. Data and information created by this research, and deposited by third parties, is managed by a number of environmental data centres for the purpose of preserving research outputs and promoting their re-use, re-purposing and information fusion. These data centres are: British Atmospheric Data Centre (http://badc.nerc.ac.uk) British Oceanographic Data Centre (http://bodc.nerc.ac.uk) Environmental Information Data Centre (http://eidc.nerc.ac.uk) National Geoscience Data Centre (http://ngdc.nerc.ac.uk) NERC Earth Observation Data Centre (http://neodc.nec.ac.uk) Polar Data Centre (http://pdc.anerc.ac.uk) The NERC Science Information Strategy (SIS) has been created to provide the framework for NERC to work more closely and effectively with its scientific communities in delivering data and information management services to support its 5 year science strategy, the Next Generation Science for Planet Earth. The strategy focuses on the continuing development of NERC’s information management processes and sets the context under which all of its science data and information activities will be carried out in the future. The anticipated benefits of the science information strategy that promote information fusion include: (1) Easier discovery and access to the data that underpin the objective scientific evidence; (2) A clear understanding of stakeholders' needs and aspirations; (3) A common understanding of the data of high value to NERC's mission and clear processes to ensure such data is ingested, managed and disseminated to the environmental science community; (4) Greater commonality of approach, development and sharing of infrastructure; leading to simpler information fusion; (5) A clear understanding of the intellectual property rights; and (6) Compliance with

  9. The anatomical pathways for antennal sensory information in the central nervous system of the cricket, Gryllus bimaculatus

    OpenAIRE

    Yoritsune, Atsushi; Aonuma, Hitoshi

    2012-01-01

    Antennae are one of the major organs to detect chemo- and mechanosensory cue in crickets. Little is known how crickets process and integrate different modality of information in the brain. We thus used a number of different anatomical techniques to gain an understanding of the neural pathways extending from the antennal sensory neurons up to centers in the brain. We identified seven antennal sensory tracts (assigned as T1–7) utilizing anterograde dye filling from the antennal nerve. Tracts T1...

  10. 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.

  11. 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.

  12. 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.

  13. Fusion of navigational data in River Information Services

    Science.gov (United States)

    Kazimierski, W.

    2009-04-01

    . Their main advantage over AIS is total independence from tracked target's facilities. For example, wrong indications of ship's GPS would affect AIS accuracy, but wouldn't have any impact on values estimated by radar. In addition to this in many times update rate for AIS data is longer than for radar. Thus, it can be noticed, that efficient tracking system introduced in RIS shall use both AIS receivers (based on satellite derived positions), and independent radar and camera sensors. This will however cause determining at least two different set of information about positions and movement parameters of targets. Doubled or multiplied vectors for single target are unacceptable, due to safety of navigation and traffic management. Hence the need of data fusion in RIS is obvious. The main goal is to develop unambiguous, clear and reliable information about ships' position and movement for all users in the system. Data fusion itself is not a new problem in maritime navigation. There are systems of Integrated Bridge on sea-going ships, which use information coming out from different sources. However the possibilities of integration of navigational information in the aspect of inland navigation, especially in River Information Services, still needs to be thoroughly surveyed. It is quite useful for simplifying the deduction, to introduce two data fusion levels. First of them is being done on board of the vessel. Its aim is to integrate all information coming from different sensors in the so called Integrated Navigational System. The other task of this fusion is to estimate reliable information about other objects based on AIS and radar. The second level is the integration of AIS, radar and closed-circuit television (CCTV) carried out in coastal station in order to determine Tactical and Strategic Traffic Image. The navigational information in RIS itself can be divided into two main groups. The first one is called static data and contains al basic information related to ship itself

  14. Study on intelligent fault diagnosis system of nuclear power plants based on information fusion technique

    International Nuclear Information System (INIS)

    The technology of information fusion is used in the fault diagnosis for ship nuclear power plants in this paper. The space fusion structure is built based on fault tree expert system, NN diagnosis system, and mechanism model validation system. Not only the system deep-level knowledge, but also the shallow knowledge and the mechanism model knowledge are fully used. The simulation validation and verification showed that the information fusion diagnosis system could improve the fault diagnosis reliability effectively. (authors)

  15. Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion.

    Science.gov (United States)

    Cardoso, M Jorge; Modat, Marc; Wolz, Robin; Melbourne, Andrew; Cash, David; Rueckert, Daniel; Ourselin, Sebastien

    2015-09-01

    Clinical annotations, such as voxel-wise binary or probabilistic tissue segmentations, structural parcellations, pathological regions-of-interest and anatomical landmarks are key to many clinical studies. However, due to the time consuming nature of manually generating these annotations, they tend to be scarce and limited to small subsets of data. This work explores a novel framework to propagate voxel-wise annotations between morphologically dissimilar images by diffusing and mapping the available examples through intermediate steps. A spatially-variant graph structure connecting morphologically similar subjects is introduced over a database of images, enabling the gradual diffusion of information to all the subjects, even in the presence of large-scale morphological variability. We illustrate the utility of the proposed framework on two example applications: brain parcellation using categorical labels and tissue segmentation using probabilistic features. The application of the proposed method to categorical label fusion showed highly statistically significant improvements when compared to state-of-the-art methodologies. Significant improvements were also observed when applying the proposed framework to probabilistic tissue segmentation of both synthetic and real data, mainly in the presence of large morphological variability. PMID:25879909

  16. 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.

  17. 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.

  18. Background information and technical basis for assessment of environmental implications of magnetic fusion energy

    International Nuclear Information System (INIS)

    This report contains background information for assessing the potential environmental implications of fusion-based central electric power stations. It was developed as part of an environmental review of the Magnetic Fusion Energy Program. Transition of the program from demonstration of purely scientific feasibility (breakeven conditions) to exploration of engineering feasibility suggests that formal program environmental review under the National Environmental Policy Act is timely. This report is the principal reference upon which an environmental impact statement on magnetic fusion will be based

  19. 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…

  20. 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.

  1. 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.

  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. New Information Processing Methods for Control in Fusion

    International Nuclear Information System (INIS)

    Magnetic confinement fusion devices are complex, non linear open systems, which have to be driven well away from equilibrium to produce energy in an economically competitive way. They therefore present all the issues typically faced by open, self sustaining systems, from fuelling to exhaust, from energy conversion to contamination and sudden degradation of performance. In order to control thermonuclear plasmas of reactor relevance, therefore, thousands of signals are required. During the last campaigns, it has already been demonstrated that JET diagnostics can produce more than 10*106 bytes of data per shot and JET data base contains already more than 40*1012 bytes of data, which need to be analysed with new methods if a sufficient level of understanding and control has to be achieved. With regard to system identification, Bayesian statistics is a very promising methodology, which provides for the first time a sound way to include physical information about the diagnostics in the evaluation of the error bars. In a prototypical application, a Bayesian statistical approach determines the magnetic topology without any assumption on the equilibrium and provides clear confidence intervals on all the derived quantities. This technique can be implemented to provide results about every millisecond and therefore it can be envisaged to exploit for feedback purposes not only the topology of the ideal flux surfaces but also the confidence intervals. A series of machine learning techniques has been applied to the problems of confinement regime identification and disruption predictions. Various nonlinear correlation and non-supervised clustering methods have been applied to select the most relevant variables for the problems at hand. On this basis, specific classifiers have been trained and optimised to recognize whether the plasma is in the H or L mode of confinement and to predict disruptions. The success rates of these classifiers, mainly based on Support Vector Machines, are

  4. 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.

  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. 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.

  7. 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.

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

    OpenAIRE

    Wormet, Jody R.

    2012-01-01

    This research utilized a semi-structured survey instrument delivered to subject matter experts within the national network of fusion centers and employed a constant comparison method to analyze the survey results. This smart practice exploration informed through an appreciative inquiry lens found considerable variation in how fusion centers plan for, gather requirements, select and acquire federated search tools to bridge disparate databases. These findings confirmed the initial hypothesis th...

  9. The Quality and Readability of Information Available on the Internet Regarding Lumbar Fusion.

    Science.gov (United States)

    Zhang, Dafang; Schumacher, Charles; Harris, Mitchel B; Bono, Christopher M

    2016-03-01

    Study Design An Internet-based evaluation of Web sites regarding lumbar fusion. Objective The Internet has become a major resource for patients; however, the quality and readability of Internet information regarding lumbar fusion is unclear. The objective of this study is to evaluate the quality and readability of Internet information regarding lumbar fusion and to determine whether these measures changed with Web site modality, complexity of the search term, or Health on the Net Code of Conduct certification. Methods Using five search engines and three different search terms of varying complexity ("low back fusion," "lumbar fusion," and "lumbar arthrodesis"), we identified and reviewed 153 unique Web site hits for information quality and readability. Web sites were specifically analyzed by search term and Web site modality. Information quality was evaluated on a 5-point scale. Information readability was assessed using the Flesch-Kincaid score for reading grade level. Results The average quality score was low. The average reading grade level was nearly six grade levels above that recommended by National Work Group on Literacy and Health. The quality and readability of Internet information was significantly dependent on Web site modality. The use of more complex search terms yielded information of higher reading grade level but not higher quality. Conclusions Higher-quality information about lumbar fusion conveyed using language that is more readable by the general public is needed on the Internet. It is important for health care providers to be aware of the information accessible to patients, as it likely influences their decision making regarding care. PMID:26933614

  10. 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

    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 sinc...

  11. 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.

  12. 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.

  13. The need for a fusion technology information program

    International Nuclear Information System (INIS)

    In providing an adequate energy technology for the future, which new programs should be considered by the Department of Energy national laboratories to ensure that the US remains in the forefront of international science and technology is an important question. This paper suggests that the urgency for energy independence demands an active communication program that would increase awareness of energy as a critical national issue and would present fusion, with its benefits and risks, as one of the long-term alternative energy sources

  14. Study on data mining of uranium deposits on the basis of information fusion

    International Nuclear Information System (INIS)

    The basic connotation of information fusion has been studied in detail in this article. Based on the study of information fusion of radioactivity, spectrum, SAR and DEM, the authors have researched the analysing technology of remote sensing, airborne radioactivity data and DEM information, and the new classification algorithm of remote sensing has been developed, the image feature of ore-bearing bed has been quickly extracted from the remote sensing data. Finally, application research has been performed in Ordos Basin, the effect is positive. (author)

  15. 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.

  16. A probabilistic framework for image information fusion with an application to mammographic analysis.

    NARCIS (Netherlands)

    Velikova, M.; Lucas, P.J.; Samulski, M.; Karssemeijer, N.

    2012-01-01

    The recent increased interest in information fusion methods for solving complex problem, such as in image analysis, is motivated by the wish to better exploit the multitude of information, available from different sources, to enhance decision-making. In this paper, we propose a novel method, that ad

  17. Information fusion based on addition of unascertained rational numbers for recognization of spatial point targets

    Institute of Scientific and Technical Information of China (English)

    张池平; 宋向勃; 崔祜涛

    2003-01-01

    A new uncertain information model, i.e. unascertainment, which is different from randomness,fuzziness and grayness, has been introduced into information fusion to give a reasoning method,which is basedon addition of unascertained rational number and can be used to recognize spatial point targets. The validity ofthe method proposed is verified through an example.

  18. 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.

  19. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

    Hughett, P W [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.

  1. STORM - A Novel Information Fusion and Cluster Interpretation Technique

    CERN Document Server

    Feyereisl, Jan

    2010-01-01

    Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, useful for better understanding of a problem at hand, than by looking only at the data itself. Although abundant expert knowledge exists in many areas where unlabelled data is examined, such knowledge is rarely incorporated into automatic analysis. Incorporation of expert knowledge is frequently a matter of combining multiple data sources from disparate hypothetical spaces. In cases where such spaces belong to different data types, this task becomes even more challenging. In this paper we present a novel immune-inspired method that enables the fusion of such disparate types of data for a specific set of problems. We show that our method provides a better visual understanding of one hypothetical space with the help of data from another hypothetical space. We believe that our model has implications for the field of exploratory data analysis and kno...

  2. 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.

  3. 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.

  4. 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.

  5. Fusion Energy: Contextual Analysis of the Information Panels Developed by the Scientific Community versus Citizen Discourse

    International Nuclear Information System (INIS)

    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)

  6. 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

  7. 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.

  8. 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

    2016-01-01

    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. PMID:27649190

  9. 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

    2016-01-01

    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. PMID:27649190

  10. 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...

  11. 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.

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

    OpenAIRE

    Bøvith, Thomas; Nielsen, Allan Aasbjerg; Hansen, Lars Kai; Gill, Rashpal S.; Overgaard, Søren

    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 opera...

  13. Static versus Dynamic Data Information Fusion Analysis using DDDAS for Cyber Security Trust

    OpenAIRE

    Erik Blasch; Youssif Al-Nashif; Salim Hariri

    2015-01-01

    Information fusion includes signals, features, and decision-level analysis over various types of data including imagery, text, and cyber security detection. With the maturity of data processing, the explosion of big data, and the need for user acceptance; the Dynamic Data-Driven Application System (DDDAS) philosophy fosters insights into the usability of information systems solutions. In this paper, we explore a notion of an adaptive adjustment of secure communication...

  14. 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.

  15. 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.

  16. 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...

  17. Radiation Shielding Information Center: a source of computer codes and data for fusion neutronics studies

    International Nuclear Information System (INIS)

    The Radiation Shielding Information Center (RSIC), established in 1962 to collect, package, analyze, and disseminate information, computer codes, and data in the area of radiation transport related to fission, is now being utilized to support fusion neutronics technology. The major activities include: (1) answering technical inquiries on radiation transport problems, (2) collecting, packaging, testing, and disseminating computing technology and data libraries, and (3) reviewing literature and operating a computer-based information retrieval system containing material pertinent to radiation transport analysis. The computer codes emphasize methods for solving the Boltzmann equation such as the discrete ordinates and Monte Carlo techniques, both of which are widely used in fusion neutronics. The data packages include multigroup coupled neutron-gamma-ray cross sections and kerma coefficients, other nuclear data, and radiation transport benchmark problem results

  18. 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.

  19. Information Fusion with Belief Functions: a comparison of Proportional Conflict Redistribution PCR5 and PCR6 rules for Networked Sensors

    OpenAIRE

    Roman Ilin; Erik Blasch

    2015-01-01

    We compare several belief fusion methods, including the proportional conflict redistribution rules (PCR5 and PCR6) for multiple sources. The PCR fusion of evidence methods have shown improvement over the classical Dempster-Shafer and Bayesian fusion techniques in the presence of conflicting information. The PCR6 rule shows improvement over PCR5 when the number of sources increases. Using Hasse graphical diagrams, we highlight the comparison between the methods...

  20. 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.

  1. 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. PMID:27230904

  2. A unified anatomical theory and computational model of cognitive information processing in the mammalian brain and the introduction of DNA reco codes

    OpenAIRE

    Solari, Soren

    2009-01-01

    This dissertation presents a comprehensive unified anatomical theory in conjunction with computational models that serve to provide a complete working explanatory framework for cognitive information processing in the mammalian brain. Our model provides sufficient detail such that we are able to hypothesize the function of individual populations of neurons as they correlate to psychological observation. We first introduce our working hypothesis, confabulation theory, on the fundamental cortica...

  3. 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.

  4. 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

  5. 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

  6. Fusion of Multiple Levels of Subsurface Information for Imaging and Hydrologic Analysis

    Science.gov (United States)

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

    2005-12-01

    Information on detailed spatial distributions of hydraulic properties, water, contaminants and other geofluids in the fractured vadose zone is important to our understanding and prediction of many natural processes and management of our precious natural resources. Many innovative hydraulic, tracer, and geophysical tomography surveys have been recently developed for this purpose. While these techniques are capable of collecting a vast amount of information of different types, they often lead to information overload, uncertainties, and difficulties in interpretation. A newly developed stochastic information fusion approach combined with dynamic, adaptive, parallel computing technologies is developed to meet these needs. The approach to solving the complex problem of data integration involves the following: 1) development of new generation of forward and inverse methodology, based on local adaptive refinement methods and the stochastic successive linear estimator (SLE), for geophysical surveys, including electrical resistivity tomography (ERT), high-frequency ground penetrating radar (GPR), and mid-range-frequency radar. 2) development of a stochastic fusion technology to assimilate the strengths of the three geophysical technologies to enhance the images of resistivity and dielectric constant variations over large volumes of the subsurface and to quantify their uncertainties; 3) development of a stochastic fusion technology to congregate the ability of geophysical surveys to image fracture patterns from resistivity and dielectric constant anomalies and the ability of pneumatic/gas tracer tomography to estimate air permeability, porosity, and potential connectivity of fractures. The resulting integration of these data provides a detailed view of the 3-D distribution of the pneumatic properties. A similar fusion approach is also applied for hydraulic/tracer tomography and geophysical surveys. The three different fusion processes take an iterative approach to maximize

  7. Data fusion of priority information using a dempster combination rule

    International Nuclear Information System (INIS)

    As a case study, a multiple criteria decision-making problem, a ranking of radionuclide release scenarios in a low and intermediate radioactive waste repository is taken into account. The ranking in terms of a relative degree of priority of scenario alternatives enables us to incorporate more effective safety measure in a design stage of the repository. To illustrate a proposed methodology for updating ranking priority of release scenarios, priority information from three individual methods as well as the combined Dempster method is compared. Three types of methods to be combined are as follows: 1) the weighted arithmetic mean (WAM) method, a linear aggregation of a preference score matrix and a weighting vector is based on the no-interaction among criteria. The weighting vector is viewed as additive probability measures. The WAM method is bound to be equivalent to an AHP model; 2) the belief-based Choquet integral (BCI) method represents the pessimistic attitude towards aggregation using the synergistic interaction among criteria; 3) the plausibility-based Choquet integral (PCI) method leads to the optimistic assessment along with the inhibitory interaction among criteria. The finite frame of discernment, all the possible states of the problem under consideration, is ={WAM, BCI, PCI}. The framework of the Dempster combination rule is depicted in Figure 1 for three sources of evidence such as the WAM model {WAM}, the belief model {BCI}, and the plausibility model {PCI}

  8. 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.

  9. 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.

  10. 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

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. Intelligent Information Fusion in the Aviation Domain: A Semantic-Web based Approach

    Science.gov (United States)

    Ashish, Naveen; Goforth, Andre

    2005-01-01

    Information fusion from multiple sources is a critical requirement for System Wide Information Management in the National Airspace (NAS). NASA and the FAA envision creating an "integrated pool" of information originally coming from different sources, which users, intelligent agents and NAS decision support tools can tap into. In this paper we present the results of our initial investigations into the requirements and prototype development of such an integrated information pool for the NAS. We have attempted to ascertain key requirements for such an integrated pool based on a survey of DSS tools that will benefit from this integrated pool. We then advocate key technologies from computer science research areas such as the semantic web, information integration, and intelligent agents that we believe are well suited to achieving the envisioned system wide information management capabilities.

  16. Anatomical pathways for auditory memory II: information from rostral superior temporal gyrus to dorsolateral temporal pole and medial temporal cortex.

    Science.gov (United States)

    Muñoz-López, M; Insausti, R; Mohedano-Moriano, A; Mishkin, M; Saunders, R C

    2015-01-01

    Auditory recognition memory in non-human primates differs from recognition memory in other sensory systems. Monkeys learn the rule for visual and tactile delayed matching-to-sample within a few sessions, and then show one-trial recognition memory lasting 10-20 min. In contrast, monkeys require hundreds of sessions to master the rule for auditory recognition, and then show retention lasting no longer than 30-40 s. Moreover, unlike the severe effects of rhinal lesions on visual memory, such lesions have no effect on the monkeys' auditory memory performance. The anatomical pathways for auditory memory may differ from those in vision. Long-term visual recognition memory requires anatomical connections from the visual association area TE with areas 35 and 36 of the perirhinal cortex (PRC). We examined whether there is a similar anatomical route for auditory processing, or that poor auditory recognition memory may reflect the lack of such a pathway. Our hypothesis is that an auditory pathway for recognition memory originates in the higher order processing areas of the rostral superior temporal gyrus (rSTG), and then connects via the dorsolateral temporal pole to access the rhinal cortex of the medial temporal lobe. To test this, we placed retrograde (3% FB and 2% DY) and anterograde (10% BDA 10,000 mW) tracer injections in rSTG and the dorsolateral area 38 DL of the temporal pole. Results showed that area 38DL receives dense projections from auditory association areas Ts1, TAa, TPO of the rSTG, from the rostral parabelt and, to a lesser extent, from areas Ts2-3 and PGa. In turn, area 38DL projects densely to area 35 of PRC, entorhinal cortex (EC), and to areas TH/TF of the posterior parahippocampal cortex. Significantly, this projection avoids most of area 36r/c of PRC. This anatomical arrangement may contribute to our understanding of the poor auditory memory of rhesus monkeys. PMID:26041980

  17. 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

  18. 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.

  19. A kind of Face Recognition Method Based on CCA Feature Information Fusion

    OpenAIRE

    Li-Xia NIU; Li, Guo

    2013-01-01

    In order to achieve more local facial feature, a kind of sub image face recognition method based on RS-Sp CCA feature information fusion is proposed in this paper. According to take samples for the local facial feature of sub image and use CCA to fuse the global facial feature and the local facial feature information after sampling, the global feature of image can be fully used to construct much more different kinds of component classifiers. Then, make experimental analysis on databases of 3 ...

  20. Reduce Threats in Competitive Intelligence System: A Generic Information Fusion Access Control Model

    Directory of Open Access Journals (Sweden)

    Anass El haddadi

    2011-03-01

    Full Text Available Information fusion is a cornerstone of competitive intelligence activity that aims at supporting decisionmaking by collecting, analyzing and disseminating information. This information comes fromheterogeneous data sources. In this paper we present an approach of access control. This approach isfocused both on the information that must be bring to decision-makers and the privacy of individuals whosedata is used to extract this information. This model is based on the standard “Role Based Access Control”(RBAC and is implemented within the entire life cycle of Xplor Every Where (Web service of Tetralogie,it follows methodologies tailored to design privacy-aware systems to be compliant with data protectionregulations.

  1. Research of Spatial-Temporal Architecture Model and the Algorithm for Multisensor Information Fusion

    Institute of Scientific and Technical Information of China (English)

    LUO Da-yong; ZHANG Yuan

    2006-01-01

    To receive habitus accurately and to obtain the reorganization and decision information of the object fully,spatial and temporal fusion must be taken into account.In this paper,a spatial-temporal two-layer architecture model is presented.In this architecture,the data monitored by different sensors at the same time are fused first in space,and then in time order.Based on this model,we give an algorithm based on the theory of D-S evidence and fuzzy integral for sensor fusion.Simulation results indicate that this algorithm can improve the efficiency of object identification and the reliability of system.The simulation of the algorithm in multisensor object identification is also presented.

  2. Recognition of Emotions using Energy Based Bimodal Information Fusion and Correlation

    Directory of Open Access Journals (Sweden)

    Krishna Asawa

    2014-09-01

    Full Text Available Multi-sensor information fusion is a rapidly developing research area which forms the backbone of numerous essential technologies such as intelligent robotic control, sensor networks, video and image processing and many more. In this paper, we have developed a novel technique to analyze and correlate human emotions expressed in voice tone & facial expression. Audio and video streams captured to populate audio and video bimodal data sets to sense the expressed emotions in voice tone and facial expression respectively. An energy based mapping is being done to overcome the inherent heterogeneity of the recorded bi-modal signal. The fusion process uses sampled and mapped energy signal of both modalities’s data stream and further recognize the overall emotional component using Support Vector Machine (SVM classifier with the accuracy 93.06%

  3. Reusing information for high-level fusion: characterizing bias and uncertainty in human-generated intelligence

    Science.gov (United States)

    Burke, Dustin; Carlin, Alan; Picciano, Paul; Levchuk, Georgiy; Riordan, Brian

    2013-05-01

    To expedite the intelligence collection process, analysts reuse previously collected data. This poses the risk of analysis failure, because these data are biased in ways that the analyst may not know. Thus, these data may be incomplete, inconsistent or incorrect, have structural gaps and limitations, or simply be too old to accurately represent the current state of the world. Incorporating human-generated intelligence within the high-level fusion process enables the integration of hard (physical sensors) and soft information (human observations) to extend the ability of algorithms to associate and merge disparate pieces of information for a more holistic situational awareness picture. However, in order for high-level fusion systems to manage the uncertainty in soft information, a process needs to be developed for characterizing the sources of error and bias specific to human-generated intelligence and assessing the quality of this data. This paper outlines an approach Towards Integration of Data for unBiased Intelligence and Trust (TID-BIT) that implements a novel Hierarchical Bayesian Model for high-level situation modeling that allows the analyst to accurately reuse existing data collected for different intelligence requirements. TID-BIT constructs situational, semantic knowledge graphs that links the information extracted from unstructured sources to intelligence requirements and performs pattern matching over these attributed-network graphs for integrating information. By quantifying the reliability and credibility of human sources, TID-BIT enables the ability to estimate and account for uncertainty and bias that impact the high-level fusion process, resulting in improved situational awareness.

  4. 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 .

  5. 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

  6. 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...

  7. 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.

  8. 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.

  9. Image classification using multiscale information fusion based on saliency driven nonlinear diffusion filtering.

    Science.gov (United States)

    Hu, Weiming; Hu, Ruiguang; Xie, Nianhua; Ling, Haibin; Maybank, Stephen

    2014-04-01

    In this paper, we propose saliency driven image multiscale nonlinear diffusion filtering. The resulting scale space in general preserves or even enhances semantically important structures such as edges, lines, or flow-like structures in the foreground, and inhibits and smoothes clutter in the background. The image is classified using multiscale information fusion based on the original image, the image at the final scale at which the diffusion process converges, and the image at a midscale. Our algorithm emphasizes the foreground features, which are important for image classification. The background image regions, whether considered as contexts of the foreground or noise to the foreground, can be globally handled by fusing information from different scales. Experimental tests of the effectiveness of the multiscale space for the image classification are conducted on the following publicly available datasets: 1) the PASCAL 2005 dataset; 2) the Oxford 102 flowers dataset; and 3) the Oxford 17 flowers dataset, with high classification rates. PMID:24569440

  10. 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.

  11. 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.

  12. Image fusion

    Science.gov (United States)

    Pavel, M.

    1993-01-01

    The topics covered include the following: a system overview of the basic components of a system designed to improve the ability of a pilot to fly through low-visibility conditions such as fog; the role of visual sciences; fusion issues; sensor characterization; sources of information; image processing; and image fusion.

  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. Experimental Study on Bioluminescence Tomography with Multimodality Fusion

    OpenAIRE

    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 s...

  15. Anatomic Total Shoulder System

    Medline Plus

    Full Text Available GLOBAL AP ANATOMIC TOTAL SHOULDER SYSTEM METHODIST HOSPITAL PHILADELPHIA, PA April 17, 2008 00:00:10 ANNOUNCER: ... you'll be able to watch a live global AP anatomic total shoulder surgery from Methodist Hospital ...

  16. Fuselets: an agent based architecture for fusion of heterogeneous information and data

    Science.gov (United States)

    Beyerer, Jürgen; Heizmann, Michael; Sander, Jennifer

    2006-04-01

    A new architecture for fusing information and data from heterogeneous sources is proposed. The approach takes criminalistics as a model. In analogy to the work of detectives, who attempt to investigate crimes, software agents are initiated that pursue clues and try to consolidate or to dismiss hypotheses. Like their human pendants, they can, if questions beyond their competences arise, consult expert agents. Within the context of a certain task, region, and time interval, specialized operations are applied to each relevant information source, e.g. IMINT, SIGINT, ACINT,..., HUMINT, data bases etc. in order to establish hit lists of first clues. Each clue is described by its pertaining facts, uncertainties, and dependencies in form of a local degree-of-belief (DoB) distribution in a Bayesian sense. For each clue an agent is initiated which cooperates with other agents and experts. Expert agents support to make use of different information sources. Consultations of experts, capable to access certain information sources, result in changes of the DoB of the pertaining clue. According to the significance of concentration of their DoB distribution clues are abandoned or pursued further to formulate task specific hypotheses. Communications between the agents serve to find out whether different clues belong to the same cause and thus can be put together. At the end of the investigation process, the different hypotheses are evaluated by a jury and a final report is created that constitutes the fusion result. The approach proposed avoids calculating global DoB distributions by adopting a local Bayesian approximation and thus reduces the complexity of the exact problem essentially. Different information sources are transformed into DoB distributions using the maximum entropy paradigm and considering known facts as constraints. Nominal, ordinal and cardinal quantities can be treated within this framework equally. The architecture is scalable by tailoring the number of agents

  17. 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.

  18. Using SharePoint to manage and disseminate fusion project information: An ITER case study

    Energy Technology Data Exchange (ETDEWEB)

    Prescott, Barry, E-mail: barry.prescott@iter.or [ITER Organization, CS 90 046, 13067 St. Paul lez Durance Cedex (France); Downing, James [ITER Organization, CS 90 046, 13067 St. Paul lez Durance Cedex (France); Tessella plc, 26 The Quadrant, Abingdon Science Park, Abingdon, Oxfordshire OX14 3YS (United Kingdom); Di Maio, Marco [ITER Organization, CS 90 046, 13067 St. Paul lez Durance Cedex (France); projectglobe.com, 108 Totteridge House, 15 Yelverton Road, London SW11 3QH (United Kingdom); How, John [ITER Organization, CS 90 046, 13067 St. Paul lez Durance Cedex (France)

    2010-07-15

    The ITER Organization, in common with many other fusion laboratories, has an authenticated-access website devoted to the communication of information to all its staff and remote collaborators. In 2007 and 2008, the number of registered users of this site increased by more than a factor of ten, to over 3000 at present, and with approximately 900 unique users using the website per month. In parallel, the project management of the organisation has been put in place. A decision was taken to move the web platform from simple HTML to Microsoft SharePoint and to web-enable the many applications and databases used for ITER management. This decision has been well justified by the power and extensive flexibility provided by SharePoint, for example it permits different groups to publish their own information and to collaborate, and to consolidate disparate spreadsheet data in linked SharePoint lists to improve quality and maintainability. This paper examines the use of SharePoint at ITER: why it was selected and what benefits it brings to both the local and remote ITER community. Some active case studies are presented. The paper also looks ahead at what future benefits to ITER this platform offers, and reviews the type of information that the site can profitably publish. The paper also highlights some of the limitations of the platform, the problems of integration with other ITER systems, and discusses its potential for adaptability in other scientific organisations.

  19. Using SharePoint to manage and disseminate fusion project information: An ITER Case Study

    Energy Technology Data Exchange (ETDEWEB)

    Prescott, B.; Downing, J.; Di Maio, M.; How, J. [ITER Organization, 13 - St. Paul Lez Durance (France)

    2009-07-01

    Full text of publication follows: The ITER Organisation, in common with many other fusion laboratories, has a web site devoted to the diffusion of information to all its staff and remote collaborators, authenticated by ITER account name. In 2007 and 2008 the users of this site have expanded by more than a factor of ten with over 3000 registered users at present. In parallel the project management of the organisation has been put in place. A decision was taken to move the web platform from simple HTML to the Microsoft SharePoint platform and to integrate the web into the many utilities and data bases (data.farm.) used for ITER management. This decision has been well justified by the power and extensive flexibility provided by SharePoint, for example permitting different groups to publish their own information and to collaborate, and to consolidate disparate spread-sheet data in linked SharePoint lists to improve quality and maintainability. This paper examines the use of SharePoint at ITER: Why it was selected, what benefits it brings to both the local and remote ITER community. Some active case studies are presented. We also look ahead at what future benefits to ITER this platform offers, and review the type of information that the site can profitably publish. We also highlight some of the limitations, and constraints of the platform, and the problems of integration into the ITER systems, and discuss its adaptability for scientific organisations. (authors)

  20. Anatomical imaging for radiotherapy

    Energy Technology Data Exchange (ETDEWEB)

    Evans, Philip M [Joint Physics Department, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT (United Kingdom)], E-mail: phil.evans@icr.ac.uk

    2008-06-21

    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

  1. Molecular imaging with little anatomic information: combined scintigraphic-radiologic imaging of thyroid cancer and sentinel-lymph-node; Molekulare Bildgebung bei geringer anatomischer Bildinformation: Kombinierte szintigraphisch-radiologische Darstellung beim Schilddruesenkarzinom und Sentinel-Lymph-Node

    Energy Technology Data Exchange (ETDEWEB)

    Schlemmer, H.; Jigalin, A.; Freter, B.T.; Gasthaus, K.; Langer, H.; Lerch, H. [Klinik fuer Nuklearmedizin, HELIOS Klinikum Wuppertal, Univ. Witten-Herdecke (Germany)

    2006-09-15

    The combined SPECT-CT examination is a procedure applied for acquisition, overlaying, and analysis of the scintigraphic functional data with the anatomic information in one single examination. This is considered especially for the molecular imaging with only little anatomic information. By giving examples, this elaboration demonstrates the advantages of the method of combining SPECT and radiologic presentation at the iodine-131-radio-nuclide imaging of differentiated thyroid cancer and the sentinel-lymph-node-scanning of different tumor entities. The possibility of combined imaging permits the examiner more diagnostic accuracy by better recognizing of pathologic processes with exact anatomic localisation. It is a simple examination which can be done in one process and hardly stresses the patient. (orig.)

  2. 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.

  3. 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.

  4. 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.

  5. 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

  6. A comparative study on automatic audio-visual fusion for aggression detection using meta-information

    NARCIS (Netherlands)

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

    2013-01-01

    Multimodal fusion is a complex topic. For surveillance applications audio-visual fusion is very promising given the complementary nature of the two streams. However, drawing the correct conclusion from multi-sensor data is not straightforward. In previous work we have analysed a database with audio-

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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). journals/149/149-top.htm>(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.

  12. 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.

  13. Gyrator wavelet transform based non-linear multiple single channel information fusion and authentication

    Science.gov (United States)

    Abuturab, Muhammad Rafiq

    2015-11-01

    A novel gyrator wavelet transform based non-linear multiple single channel information fusion and authentication is introduced. In this technique, each user channel is normalized, phase encoded, and modulated by random phase function, and then multiplexed into a single channel user ciphertext. Now, the secret channel of corresponding user is phase encoded, modulated by random phase function, and gyrator transformed, and then multiplexed into a single channel secret ciphertext. The user ciphertext and secret ciphertext are multiplied to get a single channel multiplex image and then inverse gyrator transformed. The resultant spectrum is phase- and amplitude-truncated to obtain the encrypted image and the asymmetric key, respectively. The encrypted image is a single-level 2-D discrete wavelet transformed. The information is decomposed into LL, HL, LH, and HH sub-bands. This process is repeated to obtain three sets of four sub-bands of three different images. Next, the individual sub-band of each encrypted image is fused to get four fused sub-bands. Finally, the four fused sub-bands are inverse single-level 2-D discrete wavelet transformed to obtain final encrypted image. This is the main advantage for the proposed system: using multiple individual decryption keys (authentication key, asymmetric key, secret keys, and sub-band keys) for each user not only expands the key spaces but also supplies non-linear keys to control the system security. Moreover, the orders of gyrator transform provide extra degrees of freedom. The theoretical analysis and numerical simulation results support the proposed method.

  14. 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.

  15. NEW TRACK-TO-TRACK CORRELATION ALGORITHMS BASED ON BITHRESHOLD IN A DISTRIBUTED MULTISENSOR INFORMATION FUSION SYSTEM

    OpenAIRE

    Liu Yu; Wang Haipeng; He You; Dong Kai; Xiao Chuwan

    2013-01-01

    Track-to-Track correlation (or association) is an ongoing area of interest in the field of distributed multisensory information fusion. In order to perform accurately identifying tracks with common origin and get fast convergence, this study presents independent and dependent Bi-threshold Track Correlation Algorithms (called BTCAs), which are described in detail and the track correlation mass and multivalency processing methods are discussed as well. Then, Based on BTCAs, two modified Bi-thre...

  16. 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

  17. 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.

  18. Improved magnetic resonance myelography using image fusion; Verbesserte Magnetresonanz-Myelografie durch Bildfusion

    Energy Technology Data Exchange (ETDEWEB)

    Eberhardt, K. [Krankenhaus Schloss Werneck, Werneck (Germany). MRT-Kompetenzzentrum; Ganslandt, O. [Erlangen-Nuernberg Univ., Erlangen (Germany). Neurochirurgische Klinik; Stadlbauer, A. [Erlangen-Nuernberg Univ., Erlangen (Germany). Neurochirurgische Klinik; Landesklinikum St. Poelten (Austria). Zentrales Inst. fuer Radiologie, Diagnostik und Interventionelle Therapie

    2013-04-15

    To demonstrate that the disadvantage of missing anatomical information in heavily T2-weighted MR myelography images can be eliminated by image fusion and phase encoding in the coronal direction of the source images, resulting in MR myelography images comparable to the gold standard, i. e., post-myelography CT. This study included 110 patients suffering from extradural pathologies of the cervical and lumbar spine. All patients were investigated using 3D MR myelography and post-myelography CT. The MRI data were post-processed using image fusion and reconstruction algorithms and were compared to the corresponding images of post-myelography CT. Our approach for visualization (3D MR myelography) was able to depict intradural structures in high spatial resolution and without artifacts. The results of our visualization approach were comparable to the gold standard - post-myelography CT. Anatomical correlation was reached by image fusion of different MR data sets. The required post-processing steps were performed quickly and were available on a commercial workstation. Image fusion of different MR data sets allows for visualization of 3D data sets with enhanced quality. The results for the visualization of MR myelography in particular are comparable to conventional myelography and post-myelography CT. The missing anatomical information in heavily T2-weighted MR myelography images can be compensated by image fusion with conventional MRI. (orig.)

  19. 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.)

  20. 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.

  1. Anatomic Total Shoulder System

    Medline Plus

    Full Text Available GLOBAL AP ANATOMIC TOTAL SHOULDER SYSTEM METHODIST HOSPITAL PHILADELPHIA, PA April 17, 2008 00:00:10 ANNOUNCER: DePuy Orthopedics is continually advancing the standard of orthopedic patient care. In a few ...

  2. Anatomic Total Shoulder System

    Medline Plus

    Full Text Available ... to a patient's unique anatomical makeup. Dr. Gerald R. Williams, Jr., a shoulder specialist from the Rothman ... That might help. Could you raise the O.R. table, please? 00:28:35 WOMAN: Can you ...

  3. Anatomic Total Shoulder System

    Medline Plus

    Full Text Available GLOBAL AP ANATOMIC TOTAL SHOULDER SYSTEM METHODIST HOSPITAL PHILADELPHIA, PA April 17, 2008 00:00:10 ANNOUNCER: DePuy Orthopedics is continually advancing the standard of orthopedic patient ...

  4. Automatic audio-visual fusion for aggression detection using meta-information

    NARCIS (Netherlands)

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

    2012-01-01

    We propose a new method for audio-visual sensor fusion and apply it to automatic aggression detection. While a variety of definitions of aggression exist, in this paper we see it as any kind of behavior that has a disturbing effect on others. We have collected multi- and unimodal assessments by huma

  5. 椎间撑开解剖复位对于退变性腰椎滑脱症价值的前瞻性比较研究%Prospective comparison research of intervertebral disc space distraction and anatomical reduction of instrumented posterior lumbar interbody fusion for lumbar degenerative spondylolisthesis

    Institute of Scientific and Technical Information of China (English)

    刘好源; 黄哲元; 陈峰嵘; 黄建明; 简国坚; 龚灏; 徐天睿; 王博文; 王俊; 叶志扬

    2015-01-01

    目的:通过前瞻性研究评价椎间撑开解剖复位对于退变性腰椎滑脱症价值.方法:2006年1月~2009年12月,对56例退变性腰椎滑脱症(II度以上)患者均施行经后路椎体间融合术(posteriorlumbarinterbodyfusion,PLIF),但随机选择是否在术中进行解剖复位的操作,复位组30例,对照组26例,随访时比较两组病例的影像学、JOA功能障碍评分及并发症.结果:56例均获得13~46个月(平均32月)随访.复位组的影像学结果及最终融合率均优于对照组(P<0.01).末次随访时,两组患者都有较高的JOA功能障碍评分,复位组略优于对照组(P<0.01).复位组和对照组的并发症发生率分别为10%和23.1%.结论:经后路椎体间融合术治疗退变性腰椎滑脱症术中进行解剖复位可以获得更为理想的影像学结果、植骨融合及生活质量.%Objective:To prospectively evaluate the special roles of anatomical reduction of instrumented posterior lumbar interbody fusion for lumbar degenerative spondylolisthesis.Methods:From January 2006 to December 2009, fifty-six lumbar degenerative spondylolisthesis cases were treated by instrumented posterior lumbar interbody fusion, all surgical cases were randomly divided into reduction group and matched group according to whether anatomical reduction. The definitive reduction of the spondylolisthesis using pedicle screw instrumentation was followed by primary reduction using intervertebral disc space distraction and interbody fusion with insert cages and local morselized bone after decompressive laminectomy. Main outcome measurements included imaging, JOA dysfunction score and complication.Results:Fifty-six patients were followed up for 13 to 46 (average, 32) months, the Imaging results and solid bony fusion rate of reduction group were better than matched group (P<0.01). Both groups had preferable JOA dysfunction score. Reduction group was slightly better than matched group (P<0.01). The complication rates for

  6. 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.

  7. 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)

  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. Fault tolerant navigation method for satellite based on information fusion and unscented Kalman filter

    Institute of Scientific and Technical Information of China (English)

    Dan Li; Jianye Liu; Li Qiao; Zhi Xiong

    2010-01-01

    An effective autonomous navigation system for the integration of star sensor,infrared horizon sensor,magnetometer,radar altimeter and ultraviolet sensor is developed.The requirements of the integrated navigation system manager make optimum use of the various navigation sensors and allow rapid fault detection,isolation and recovery.The normal full fusion feedback method of federated unscented Kalman filter(UKF)cannot meet the needs of it.So a no-reset feedback federated Kalman filter architecture is developed and used in the autonomous navigation system.The minimal skew sigma points are chosen to improve the calculation speed.Simulation results are presented to demonstrate the advantages of the algorithm.These advantages include improved failure detection and correction,improved computational efficiency,and reliability.Additionally,its' accuracy is higher than that of the full fusion feedback method.

  10. 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

  11. 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.

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

    International Nuclear Information System (INIS)

    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.

  13. 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.

  14. Anatomic Total Shoulder System

    Medline Plus

    Full Text Available ... advancing the standard of orthopedic patient care. In a few moments, you'll be able to watch a live global AP anatomic total shoulder surgery from Methodist Hospital in Philadelphia. A revolution in shoulder orthopedics, the Global AP gives ...

  15. Enhancing chemical identification efficiency by SAW sensor transients through a data enrichment and information fusion strategy—a simulation study

    International Nuclear Information System (INIS)

    The paper proposes a new approach for improving the odor recognition efficiency of a surface acoustic wave (SAW) transient sensor system based on a single polymer coating. The vapor identity information is hidden in transient response shapes through dependences on specific vapor solvation and diffusion parameters in the polymer coating. The variations in the vapor exposure and purge durations and the sensor operating frequency have been used to create diversity in transient shapes via termination of the vapor–polymer equilibration process up to different stages. The transient signals were analyzed by the discrete wavelet transform using Daubechies-4 mother wavelet basis. The wavelet approximation coefficients were then processed by principal component analysis for creating feature space. The set of principal components define the vapor identity information. In an attempt to enhance vapor class separability we analyze two types of information fusion methods. In one, the sensor operation frequency is fixed and the sensing and purge durations are varied, and in the second, the sensing and purge durations are fixed and the sensor operating frequency is varied. The fusion is achieved by concatenation of discrete wavelet coefficients corresponding to various transients prior to the principal component analysis. The simulation experiments with polyisobutylene SAW sensor coating for operation frequencies over [55–160] MHz and sensing durations over [5–60] s were analyzed. The target vapors are seven volatile organics: chloroform, chlorobenzene, o-dichlorobenzene, n-heptane, toluene, n-hexane and n-octane whose concentrations were varied over [10–100] ppm. The simulation data were generated using a SAW sensor transient response model that incorporates the viscoelastic effects due to polymer coating and an additive noise source in the output. The analysis reveals that: (i) in single transient analysis the class separability increases with sensing duration for a given

  16. Anchor Node Localization for Wireless Sensor Networks Using Video and Compass Information Fusion

    Directory of Open Access Journals (Sweden)

    Dan Pescaru

    2014-03-01

    Full Text Available Distributed sensing, computing and communication capabilities of wireless sensor networks require, in most situations, an efficient node localization procedure. In the case of random deployments in harsh or hostile environments, a general localization process within global coordinates is based on a set of anchor nodes able to determine their own position using GPS receivers. In this paper we propose another anchor node localization technique that can be used when GPS devices cannot accomplish their mission or are considered to be too expensive. This novel technique is based on the fusion of video and compass data acquired by the anchor nodes and is especially suitable for video- or multimedia-based wireless sensor networks. For these types of wireless networks the presence of video cameras is intrinsic, while the presence of digital compasses is also required for identifying the cameras’ orientations.

  17. 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.

  18. 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.

  19. Conference on Norwegian fusion research

    International Nuclear Information System (INIS)

    The question of instituting a systematic research programme in Norway on aspects of thermonuclear and plasma physics has been raised. The conference here reported was intended to provide basic information on the status of fusion research internationally and to discuss a possible Norwegian programme. The main contributions covered the present status of fusion research, international cooperation, fusion research in small countries and minor laboratories, fusion research in Denmark and Sweden, and a proposed fusion experiment in Bergen. (JIW)

  20. 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.

  1. 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

  2. L4、5侧路单枚cage椎间融合术式的生物力学及临床研究%Biomechanical and Clinical Study of L4.5 Lateral Lumbar Interbody Fusion Using Single Anatomical Threaded Cage

    Institute of Scientific and Technical Information of China (English)

    郑忠; 翁绳健; 吴立忠; 李炜明; 陈国龄

    2011-01-01

    Objective To evaluate the relative stability of L4.5 lateral lumbar interbodyfusion using single anatomical threaded cage.Methods Twelve calf spine models and dimensional element models of lateral and posterior approach were established.Pure moment and forces were applied to the top of spinal eolumn. The motion range of all the specimens was measured during the experiment. The improvement rate of lumbar pain in 33 patients who took operation from Dec. 2003 to Dec. 2006 was evaluated. Results The stability in lateral group was superior to posterior group. The effective rate of operation was 100%. The improvement rate of lumbar pain was 93.94%.The patients's satisfactory rate was 100%.Conclusion Interbody fusion of L4.5 through lateral approach using single anatomical threaded cage without internal fixation is a mini-invasive operation process. It can provide instant posterior biomechanical stiffness. It is an effective operation process of interbody fusion in lumbar.%目的 评价L4、5侧路单枚椎间融合器融合术式的稳定性及力学合理性.方法 建立L4、5侧路与后路单枚椎间融合器融合术式的三维有限元模型及小牛脊柱模型,测定二者的位移变化.临床随访2003年12月~2006年12月行侧路单枚椎间融合器融合术式33例,评价腰痛改善率.结果 实验显示侧路模型的稳定性优于后路模型.临床研究显示手术有效率100%,腰痛改善率93.94%,患者满意率100%.结论 侧路植入单枚椎间融合器融合术式是一种微创的术式,不使用椎弓根固定系统而又能够提供足够的术后即刻生物力学刚度,是一种合理有效的腰椎椎间融合术式.

  3. 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.

  4. Digital imaging in anatomic pathology.

    Science.gov (United States)

    O'Brien, M J; Sotnikov, A V

    1996-10-01

    Advances in computer technology continue to bring new innovations to departments of anatomic pathology. This article briefly reviews the present status of digital optical imaging, and explores the directions that this technology may lead over the next several years. Technical requirements for digital microscopic and gross imaging, and the available options for image archival and retrieval are summarized. The advantages of digital images over conventional photography in the conference room, and the usefulness of digital imaging in the frozen section suite and gross room, as an adjunct to surgical signout and as a resource for training and education, are discussed. An approach to the future construction of digital histologic sections and the computer as microscope is described. The digital technologic applications that are now available as components of the surgical pathologist's workstation are enumerated. These include laboratory information systems, computerized voice recognition, and on-line or CD-based literature searching, texts and atlases and, in some departments, on-line image databases. The authors suggest that, in addition to these resources that are already available, tomorrow's surgical pathology workstation will include network-linked digital histologic databases, on-line software for image analysis and 3-D image enhancement, expert systems, and ultimately, advanced pattern recognition capabilities. In conclusion, the authors submit that digital optical imaging is likely to have a significant and positive impact on the future development of anatomic pathology. PMID:8853053

  5. How essential are unstructured clinical narratives and information fusion to clinical trial recruitment?

    OpenAIRE

    Raghavan, Preethi; Chen, James L; Fosler-Lussier, Eric; Lai, Albert M.

    2014-01-01

    Electronic health records capture patient information using structured controlled vocabularies and unstructured narrative text. While structured data typically encodes lab values, encounters and medication lists, unstructured data captures the physician's interpretation of the patient's condition, prognosis, and response to therapeutic intervention. In this paper, we demonstrate that information extraction from unstructured clinical narratives is essential to most clinical applications. We pe...

  6. 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

  7. 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

  8. Meeting decision detection: multimodal information fusion for multi-party dialogue understanding

    OpenAIRE

    Hsueh, Pei-Yun

    2009-01-01

    Modern advances in multimedia and storage technologies have led to huge archives of human conversations in widely ranging areas. These archives offer a wealth of information in the organization contexts. However, retrieving and managing information in these archives is a time-consuming and labor-intensive task. Previous research applied keyword and computer vision-based methods to do this. However, spontaneous conversations, complex in the use of multimodal cues and intricate i...

  9. 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

  10. 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.

  11. 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

  12. 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.

  13. Intravehicular, Short- and Long-Range Communication Information Fusion for Providing Safe Speed Warnings.

    Science.gov (United States)

    Jiménez, Felipe; Naranjo, Jose Eugenio; Serradilla, Francisco; Pérez, Elisa; Hernández, María Jose; Ruiz, Trinidad; Anaya, José Javier; Díaz, Alberto

    2016-01-01

    Inappropriate speed is a relevant concurrent factor in many traffic accidents. Moreover, in recent years, traffic accidents numbers in Spain have fallen sharply, but this reduction has not been so significant on single carriageway roads. These infrastructures have less equipment than high-capacity roads, therefore measures to reduce accidents on them should be implemented in vehicles. This article describes the development and analysis of the impact on the driver of a warning system for the safe speed on each road section in terms of geometry, the presence of traffic jams, weather conditions, type of vehicle and actual driving conditions. This system is based on an application for smartphones and includes knowledge of the vehicle position via Ground Positioning System (GPS), access to intravehicular information from onboard sensors through the Controller Area Network (CAN) bus, vehicle data entry by the driver, access to roadside information (short-range communications) and access to a centralized server with information about the road in the current and following sections of the route (long-range communications). Using this information, the system calculates the safe speed, recommends the appropriate speed in advance in the following sections and provides warnings to the driver. Finally, data are sent from vehicles to a server to generate new information to disseminate to other users or to supervise drivers' behaviour. Tests in a driving simulator have been used to define the system warnings and Human Machine Interface (HMI) and final tests have been performed on real roads in order to analyze the effect of the system on driver behavior. PMID:26805839

  14. 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.

  15. Intravehicular, Short- and Long-Range Communication Information Fusion for Providing Safe Speed Warnings

    Directory of Open Access Journals (Sweden)

    Felipe Jiménez

    2016-01-01

    Full Text Available Inappropriate speed is a relevant concurrent factor in many traffic accidents. Moreover, in recent years, traffic accidents numbers in Spain have fallen sharply, but this reduction has not been so significant on single carriageway roads. These infrastructures have less equipment than high-capacity roads, therefore measures to reduce accidents on them should be implemented in vehicles. This article describes the development and analysis of the impact on the driver of a warning system for the safe speed on each road section in terms of geometry, the presence of traffic jams, weather conditions, type of vehicle and actual driving conditions. This system is based on an application for smartphones and includes knowledge of the vehicle position via Ground Positioning System (GPS, access to intravehicular information from onboard sensors through the Controller Area Network (CAN bus, vehicle data entry by the driver, access to roadside information (short-range communications and access to a centralized server with information about the road in the current and following sections of the route (long-range communications. Using this information, the system calculates the safe speed, recommends the appropriate speed in advance in the following sections and provides warnings to the driver. Finally, data are sent from vehicles to a server to generate new information to disseminate to other users or to supervise drivers’ behaviour. Tests in a driving simulator have been used to define the system warnings and Human Machine Interface (HMI and final tests have been performed on real roads in order to analyze the effect of the system on driver behavior.

  16. Improving positive predictive value in computer-aided diagnosis using mammographic mass and microcalcification confidence score fusion based on co-location information

    Science.gov (United States)

    Lee, Seung Hyun; Kim, Dae Hoe; Choi, Jae Young; Ro, Yong Man

    2013-02-01

    In this study, a novel fusion framework has been developed to combine the detection of both breast masses and microcalcifications (MCs), aiming to improve positive predictive value (PPV) in Computer-aided Diagnosis (CADx). Clinically, it has been widely accepted that a mass associated with MC is a useful indicator of predicting the malignancy of the mass. In light of this fact, given that a mass and MCs are co-located each other (i.e., they are at the same location), the proposed fusion framework combines confidence scores of the mass and MCs for the purpose of improving the probability that the mass is malignant. To this end, the popular Bayesian network model is applied to effectively combine the detection confidence scores and to achieve higher accuracy for malignant mass classification. To demonstrate the effectiveness of the proposed fusion framework, 31 mammograms were collected from the public DDSM database. The proposed fusion framework can increase the area under the receiver operating characteristic curve (AUC) from 0.7939 to 0.8806, and the partial area index (PAUC) above the sensitivity of 0.9 from 0.1270 to 0.2280, compared to the CADx system without exploiting co-location information with MCs. Based on these results, it can be expected that the proposed fusion framework can be readily applied for realizing CADx systems with the higher PPV.

  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. Robust electromagnetically guided endoscopic procedure using enhanced particle swarm optimization for multimodal information fusion

    Energy Technology Data Exchange (ETDEWEB)

    Luo, Xiongbiao, E-mail: xluo@robarts.ca, E-mail: Ying.Wan@student.uts.edu.au [Robarts Research Institute, Western University, London, Ontario N6A 5K8 (Canada); Wan, Ying, E-mail: xluo@robarts.ca, E-mail: Ying.Wan@student.uts.edu.au; He, Xiangjian [School of Computing and Communications, University of Technology, Sydney, New South Wales 2007 (Australia)

    2015-04-15

    Purpose: Electromagnetically guided endoscopic procedure, which aims at accurately and robustly localizing the endoscope, involves multimodal sensory information during interventions. However, it still remains challenging in how to integrate these information for precise and stable endoscopic guidance. To tackle such a challenge, this paper proposes a new framework on the basis of an enhanced particle swarm optimization method to effectively fuse these information for accurate and continuous endoscope localization. Methods: The authors use the particle swarm optimization method, which is one of stochastic evolutionary computation algorithms, to effectively fuse the multimodal information including preoperative information (i.e., computed tomography images) as a frame of reference, endoscopic camera videos, and positional sensor measurements (i.e., electromagnetic sensor outputs). Since the evolutionary computation method usually limits its possible premature convergence and evolutionary factors, the authors introduce the current (endoscopic camera and electromagnetic sensor’s) observation to boost the particle swarm optimization and also adaptively update evolutionary parameters in accordance with spatial constraints and the current observation, resulting in advantageous performance in the enhanced algorithm. Results: The experimental results demonstrate that the authors’ proposed method provides a more accurate and robust endoscopic guidance framework than state-of-the-art methods. The average guidance accuracy of the authors’ framework was about 3.0 mm and 5.6° while the previous methods show at least 3.9 mm and 7.0°. The average position and orientation smoothness of their method was 1.0 mm and 1.6°, which is significantly better than the other methods at least with (2.0 mm and 2.6°). Additionally, the average visual quality of the endoscopic guidance was improved to 0.29. Conclusions: A robust electromagnetically guided endoscopy framework was

  19. Economics of fusion research

    International Nuclear Information System (INIS)

    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. 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.

  1. Issues and challenges of information fusion in contested environments: panel results

    Science.gov (United States)

    Blasch, Erik; Kadar, Ivan; Chong, Chee; Jones, Eric K.; Tierno, Jorge E.; Fenstermacher, Laurie; Gorman, John D.; Levchuk, Georgiy

    2015-05-01

    With the plethora of information, there are many aspects to contested environments such as the protection of information, network privacy, and restricted observational and entry access. In this paper, we review and contrast the perspectives of challenges and opportunities for future developments in contested environments. The ability to operate in a contested environment would aid societal operations for highly congested areas with limited bandwidth such as transportation, the lack of communication and observations after a natural disaster, or planning for situations in which freedom of movement is restricted. Different perspectives were presented, but common themes included (1) Domain: targets and sensors, (2) network: communications, control, and social networks, and (3) user: human interaction and analytics. The paper serves as a summary and organization of the panel discussion as towards future concerns for research needs in contested environments.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 基于SVM信息融合的图像识别与并行实现%Image recognition based on SVM information fusion and DSP parallel realization

    Institute of Scientific and Technical Information of China (English)

    刘松

    2009-01-01

    The paper proposes a multi-feature and multi-classifier fusion algorithm for image recognition called Support Vector Machine(SVM) information fusion.First,the paper applies three different algorithms to the feature extraction:PCA,SVM,LDA.The outputs of facial expression classifier based on three expression representations are input to SVM information fusion to get facial expression recognition.For hardware realization is few,this paper uses the DAVINCI DSP serial productions of TI company to realize the SVM information fusion algorithm scheme based on parallel structure.It discusses the process of algorithm realization by DSP.The actual results prove that SVM information fusion algorithm for expression recognition is effective and can be realized by DSPs.%提出用支持向量机(SVM)融合三种基于不同特征表示的表情识别方法进行表情识别,即PCA表情表示、SVM表情表示和FLD表情表示.在用SVM进行特征提取时,提出一种高效的方案选择投影轴.在提取各种特征表示后,对每一种表情特征用1阶最近邻分类器进行初步识别,最后用支持向量机融合这些分类结果进行表情的最终识别.并且针对目前还没有硬件实现情况,提出用TI公司的达芬奇系列的DSP芯片构建并行系统来实现SVM融合算法方案,讨论并优化DSP实现算法的过程,通过实验的结果表明,提出的方案是有效的.

  7. 论信息融合在企业竞争情报中的应用%Applications of Information Fusion in Competitive Intelligence among Enterprises

    Institute of Scientific and Technical Information of China (English)

    陈笛

    2013-01-01

      文章从信息融合的概念出发,提出了信息融合应遵循的原则和要求,探讨了企业在激烈的竞争中采用信息融合技术进行情报搜集的必要性,并介绍了信息融合技术对竞争情报所起到的主要作用。%Starting by the concept of information fusion, the paper puts forward the principals and requirements that it should follow, expounds the necessity of the adoption of information fusion techniques for information search and collection in fierce competitions, and introduces the main effects of these techniques on competitive intelligence.

  8. EMP Fusion

    OpenAIRE

    KUNTAY, Isık

    2010-01-01

    This paper introduces a novel fusion scheme, called EMP Fusion, which has the promise of achieving breakeven and realizing commercial fusion power. The method is based on harnessing the power of an electromagnetic pulse generated by the now well-developed flux compression technology. The electromagnetic pulse acts as a means of both heating up the plasma and confining the plasma, eliminating intermediate steps. The EMP Fusion device is simpler compared to other fusion devices and this reduces...

  9. 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

  10. Graphite for fusion energy applications

    International Nuclear Information System (INIS)

    Graphite is in widespread and beneficial use in present fusion energy devices. This report reflects the view of graphite materials scientists on using graphite in fusion devices. Graphite properties are discussed with emphasis on application to fusion reactors. This report is intended to be introductory and descriptive and is not intended to serve as a definitive information source

  11. Anatomic Total Shoulder System

    Medline Plus

    Full Text Available ... to learn more. Just click on the "Request Information" button on your webcast screen and open the ... mail questions. And should anyone require any additional information, please feel free to request that information utilizing ...

  12. Probabilistic anatomical labeling of brain structures using statistical probabilistic anatomical maps

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jin Su; Lee, Dong Soo; Lee, Byung Il; Lee, Jae Sung; Shin, Hee Won; Chung, June Key; Lee, Myung Chul [Seoul National University College of Medicine, Seoul (Korea, Republic of)

    2002-12-01

    The use of statistical parametric mapping (SPM) program has increased for the analysis of brain PET and SPECT images. Montreal neurological institute (MNI) coordinate is used in SPM program as a standard anatomical framework. While the most researchers look up Talairach atlas to report the localization of the activations detected in SPM program, there is significant disparity between MNI templates and Talairach atlas. That disparity between Talairach and MNI coordinates makes the interpretation of SPM result time consuming, subjective and inaccurate. The purpose of this study was to develop a program to provide objective anatomical information of each x-y-z position in ICBM coordinate. Program was designed to provide the anatomical information for the given x-y-z position in MNI coordinate based on the statistical probabilistic anatomical map (SPAM) images of ICBM. When x-y-z position was given to the program, names of the anatomical structures with non-zero probability and the probabilities that the given position belongs to the structures were tabulated. The program was coded using IDL and JAVA language for the easy transplantation to any operating system or platform. Utility of this program was shown by comparing the results of this program to those of SPM program. Preliminary validation study was performed by applying this program to the analysis of PET brain activation study of human memory in which the anatomical information on the activated areas are previously known. Real time retrieval of probabilistic information with 1 mm spatial resolution was archived using the programs. Validation study showed the relevance of this program: probability that the activated area for memory belonged to hippocampal formation was more than 80%. These programs will be useful for the result interpretation of the image analysis performed on MNI coordinate, as done in SPM program.

  13. 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.

  14. Fusion technology development

    International Nuclear Information System (INIS)

    This report includes information on the following chapters: (1) conceptual design studies, (2) magnetics, (3) plasma heating, fueling, and exhaust, (4) materials for fusion reactors, (5) alternate applications, and (6) environment and safety

  15. Enhanced image capture through fusion

    Science.gov (United States)

    Burt, Peter J.; Hanna, Keith; Kolczynski, Raymond J.

    1993-01-01

    Image fusion may be used to combine images from different sensors, such as IR and visible cameras, to obtain a single composite with extended information content. Fusion may also be used to combine multiple images from a given sensor to form a composite image in which information of interest is enhanced. We present a general method for performing image fusion and show that this method is effective for diverse fusion applications. We suggest that fusion may provide a powerful tool for enhanced image capture with broad utility in image processing and computer vision.

  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. Integrating anatomical pathology to the healthcare enterprise.

    Science.gov (United States)

    Daniel-Le Bozec, Christel; Henin, Dominique; Fabiani, Bettina; Bourquard, Karima; Ouagne, David; Degoulet, Patrice; Jaulent, Marie-Christine

    2006-01-01

    For medical decisions, healthcare professionals need that all required information is both correct and easily available. We address the issue of integrating anatomical pathology department to the healthcare enterprise. The pathology workflow from order to report, including specimen process and image acquisition was modeled. Corresponding integration profiles were addressed by expansion of the IHE (Integrating the Healthcare Enterprise) initiative. Implementation using respectively DICOM Structured Report (SR) and DICOM Slide-Coordinate Microscopy (SM) was tested. The two main integration profiles--pathology general workflow and pathology image workflow--rely on 13 transactions based on HL7 or DICOM standard. We propose a model of the case in anatomical pathology and of other information entities (orders, image folders and reports) and real-world objects (specimen, tissue samples, slides, etc). Cases representation in XML schemas, based on DICOM specification, allows producing DICOM image files and reports to be stored into a PACS (Picture Archiving and Communication System. PMID:17108550

  18. Methodology of the individual detection of cerebral activations by positrons emission tomography: statistical characterization of noise images and introduction of anatomical information

    International Nuclear Information System (INIS)

    The work that presented here has been done in the context of non invasive study of human brain, with metabolism images techniques ( positrons emission tomography or P.E.T.) and anatomy images techniques (imaging by nuclear magnetic resonance or MRI). The objective of this thesis was to use jointly, the information given by these two ways, in the aim of improving the individual detection of cerebral activation. (N.C.)

  19. Life-threatening false alarm rejection in ICU: using the rule-based and multi-channel information fusion method.

    Science.gov (United States)

    Liu, Chengyu; Zhao, Lina; Tang, Hong; Li, Qiao; Wei, Shoushui; Li, Jianqing

    2016-08-01

    False alarm (FA) rates as high as 86% have been reported in intensive care unit monitors. High FA rates decrease quality of care by slowing staff response times while increasing patient burdens and stresses. In this study, we proposed a rule-based and multi-channel information fusion method for accurately classifying the true or false alarms for five life-threatening arrhythmias: asystole (ASY), extreme bradycardia (EBR), extreme tachycardia (ETC), ventricular tachycardia (VTA) and ventricular flutter/fibrillation (VFB). The proposed method consisted of five steps: (1) signal pre-processing, (2) feature detection and validation, (3) true/false alarm determination for each channel, (4) 'real-time' true/false alarm determination and (5) 'retrospective' true/false alarm determination (if needed). Up to four signal channels, that is, two electrocardiogram signals, one arterial blood pressure and/or one photoplethysmogram signal were included in the analysis. Two events were set for the method validation: event 1 for 'real-time' and event 2 for 'retrospective' alarm classification. The results showed that 100% true positive ratio (i.e. sensitivity) on the training set were obtained for ASY, EBR, ETC and VFB types, and 94% for VTA type, accompanied by the corresponding true negative ratio (i.e. specificity) results of 93%, 81%, 78%, 85% and 50% respectively, resulting in the score values of 96.50, 90.70, 88.89, 92.31 and 64.90, as well as with a final score of 80.57 for event 1 and 79.12 for event 2. For the test set, the proposed method obtained the score of 88.73 for ASY, 77.78 for EBR, 89.92 for ETC, 67.74 for VFB and 61.04 for VTA types, with the final score of 71.68 for event 1 and 75.91 for event 2. PMID:27454710

  20. 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.

  1. Multisensor data fusion algorithm development

    Energy Technology Data Exchange (ETDEWEB)

    Yocky, D.A.; Chadwick, M.D.; Goudy, S.P.; Johnson, D.K.

    1995-12-01

    This report presents a two-year LDRD research effort into multisensor data fusion. We approached the problem by addressing the available types of data, preprocessing that data, and developing fusion algorithms using that data. The report reflects these three distinct areas. First, the possible data sets for fusion are identified. Second, automated registration techniques for imagery data are analyzed. Third, two fusion techniques are presented. The first fusion algorithm is based on the two-dimensional discrete wavelet transform. Using test images, the wavelet algorithm is compared against intensity modulation and intensity-hue-saturation image fusion algorithms that are available in commercial software. The wavelet approach outperforms the other two fusion techniques by preserving spectral/spatial information more precisely. The wavelet fusion algorithm was also applied to Landsat Thematic Mapper and SPOT panchromatic imagery data. The second algorithm is based on a linear-regression technique. We analyzed the technique using the same Landsat and SPOT data.

  2. Fusion rings and fusion ideals

    DEFF Research Database (Denmark)

    Andersen, Troels Bak

    This dissertation investigates fusion rings, which are Grothendieck groups of rigid, monoidal, semisimple, abelian categories. Special interest is in rational fusion rings, i.e., fusion rings which admit a finite basis, for as commutative rings they may be presented as quotients of polynomial rings...... 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...

  3. 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.

  4. FUSION OF MEDICAL IMAGES

    Directory of Open Access Journals (Sweden)

    ALINE APARECIDA DE OLIVEIRA

    2013-08-01

    Full Text Available The use of image multiple modalities to achieve medical diagnosis has been commom practice lately. Nowadays the most used practice is medical image fusion, that is integrating information from several different methods within the same image. This paper aims at showing aplication and functionality of medical image fusion process such as Computed Tomography, Magnetic Resonance Imaging, Positron Emission Tomography and Doppler U.S. Image fusion process can be perfomed by pixel to pixel, region to region as well as based on decision taking. Free softwares can be found in the internet and images can be obtained either in separated or conneceted equipments. The choice of processes depends on several factors and the purpose of fusion as well as characteristics and conditions of each method should be taken into consideration. Currently equipment manufacturers are investing at improving the quality and detection capacity of images aiming at upgrading the fusion process which makes image interpretation more evident and trustworthy.

  5. 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....

  6. 基于互信息的多模态医学图像融合%Multi-modality Medical Image Fusion Based on Mutual Information

    Institute of Scientific and Technical Information of China (English)

    李加恒; 戴文战; 李俊峰

    2016-01-01

    T he know n algorithms of medical image fusion do not consider the difference among different source images . In view of this problem , a multi‐modality fusion algorithm based on mutual information was proposed .The algorithm introduces lifting wavelet transform and decomposes the target image into high frequency sub‐bands and low frequency sub‐bands . According to different mutual information amount of high frequency sub‐bands ,the fusion rule of combining local gradient energy and local standard deviation was adopted for low mutual information sub‐bands ,while fusion rule of bigger edge strength is applied for frequency mutual information sub‐bands .Experimental results of multi‐group target image fusion show the method proposed in this paper is much better because of its rich image information ,clear edge ,good visual features and excellent evaluation indexes .%目前已知的医学图像融合算法未充分考虑源图像间差异性的大小,针对该不足提出了一种基于互信息特征的多模态融合算法。算法引入提升小波变换,将目标图像分解为高、低频子带,根据高频子带的互信息量不同,对低互信息子带采用区域梯度能量与区域标准差相结合的融合规则,对高互信息子带采用边缘强度取大的融合规则。通过多组目标图像融合对比的实验进行验证,算法融合得到的图像信息丰富,边缘清晰,具有良好的视觉特性和优秀的评价指标。

  7. 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。

  8. 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.

  9. ANATOMICAL PROPERTIES OF PLANTAGO ARENARIA

    OpenAIRE

    Nicoleta IANOVICI; SINITEAN, Adrian; Aurel FAUR

    2011-01-01

    Psammophytes are marked by a number of adaptations that enable them to exist in the hard environmental conditions of the sand habitats. In this study, the anatomical characteristics of Plantago arenaria were examined. Studies were conducted to assess the diversity of anatomical adaptations of vegetative organs in this taxa. Results are presented with original photographs. The analysis of leaf anatomy in P. arenaria showed that the leaves contained a contained xeromorphic traits. Arbuscular my...

  10. Anatomic Total Shoulder System

    Medline Plus

    Full Text Available ... is continually advancing the standard of orthopedic patient care. In a few moments, you'll be able ... screen and open the door to informed medical care. Now let's join the doctors. 00:01:03 ...

  11. Anatomic Total Shoulder System

    Medline Plus

    Full Text Available ... webcast screen and open the door to informed medical care. Now let's join the doctors. 00:01: ... Welcome to Methodist Hospital and Thomas Jefferson University Medical Center. I'm Jerry Williams. I'll be ...

  12. 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....

  13. 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.

  14. Shape analysis of simulated breast anatomical structures

    Science.gov (United States)

    Contijoch, Francisco; Lynch, Jennifer M.; Pokrajac, David D.; Maidment, Andrew D. A.; Bakic, Predrag R.

    2012-03-01

    Recent advances in high-resolution 3D breast imaging, namely, digital breast tomosynthesis and dedicated breast CT, have enabled detailed analysis of the shape and distribution of anatomical structures in the breast. Such analysis is critically important, since the projections of breast anatomical structures make up the parenchymal pattern in clinical images which can mask the existing abnormalities or introduce false alarms; the parenchymal pattern is also correlated with the risk of cancer. As a first step towards the shape analysis of anatomical structures in the breast, we have analyzed an anthropomorphic software breast phantom. The phantom generation is based upon the recursive splitting of the phantom volume using octrees, which produces irregularly shaped tissue compartments, qualitatively mimicking the breast anatomy. The shape analysis was performed by fitting ellipsoids to the simulated tissue compartments. The ellipsoidal semi-axes were calculated by matching the moments of inertia of each individual compartment and of an ellipsoid. The distribution of Dice coefficients, measuring volumetric overlap between the compartment and the corresponding ellipsoid, as well as the distribution of aspect ratios, measuring relative orientations of the ellipsoids, were used to characterize various classes of phantoms with qualitatively distinctive appearance. A comparison between input parameters for phantom generation and the properties of fitted ellipsoids indicated the high level of user control in the design of software breast phantoms. The proposed shape analysis could be extended to clinical breast images, and used to inform the selection of simulation parameters for improved realism.

  15. Fusion breeder

    International Nuclear Information System (INIS)

    The fusion breeder is a fusion reactor designed with special blankets to maximize the transmutation by 14 MeV neutrons of uranium-238 to plutonium or thorium to uranium-233 for use as a fuel for fission reactors. Breeding fissile fuels has not been a goal of the US fusion energy program. This paper suggests it is time for a policy change to make the fusion breeder a goal of the US fusion program and the US nuclear energy program. The purpose of this paper is to suggest this policy change be made and tell why it should be made, and to outline specific research and development goals so that the fusion breeder will be developed in time to meet fissile fuel needs

  16. 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

  17. 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.

  18. ANATOMICAL PROPERTIES OF PLANTAGO ARENARIA

    Directory of Open Access Journals (Sweden)

    Nicoleta IANOVICI

    2011-01-01

    Full Text Available Psammophytes are marked by a number of adaptations that enable them to exist in the hard environmental conditions of the sand habitats. In this study, the anatomical characteristics of Plantago arenaria were examined. Studies were conducted to assess the diversity of anatomical adaptations of vegetative organs in this taxa. Results are presented with original photographs. The analysis of leaf anatomy in P. arenaria showed that the leaves contained a contained xeromorphic traits. Arbuscular mycorrhizal symbiosis seems to be critical for their survival.

  19. "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…

  20. Cyclic Processing for Context Fusion

    DEFF Research Database (Denmark)

    Kjærgaard, Mikkel Baun

    2007-01-01

    Many machine-learning techniques use feedback information. However, current context fusion systems do not support this because they constrain processing to be structured as acyclic processing. This paper proposes a generalization which enables the use of cyclic processing in context fusion systems...

  1. 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

  2. Wavelet Transform based Medical Image Fusion With different fusion methods

    Directory of Open Access Journals (Sweden)

    Anjali Patil

    2015-03-01

    Full Text Available This paper proposes wavelet transform based image fusion algorithm, after studying the principles and characteristics of the discrete wavelet transform. Medical image fusion used to derive useful information from multimodality medical images. The idea is to improve the image content by fusing images like computer tomography (CT and magnetic resonance imaging (MRI images, so as to provide more information to the doctor and clinical treatment planning system. This paper based on the wavelet transformation to fused the medical images. The wavelet based fusion algorithms used on medical images CT and MRI, This involve the fusion with MIN , MAX, MEAN method. Also the result is obtained. With more available multimodality medical images in clinical applications, the idea of combining images from different modalities become very important and medical image fusion has emerged as a new promising research field

  3. Cold fusion

    International Nuclear Information System (INIS)

    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 4He, 3He, 3H, which are not rich in quantity basically. An experiment where plenty of 4He 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. 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).

  5. Identification keys on rattans (Calamus spp.) from Central Sulawesi based on anatomical structure of stems

    OpenAIRE

    ANDI TANRA TELLU

    2005-01-01

    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 a...

  6. 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.

  7. Fusion energy

    International Nuclear Information System (INIS)

    The efforts of the Chemical Technology Division in fusion energy include the areas of fuel handling, processing, and containment. Current studies are concerned largely with the development of vacuum pumps for fusion reactors and experiments and with development and evaluation of techniques for recovering tritium from solid or liquid breeding blankets. In addition, a small effort is devoted to support of the ORNL design of a major Tokamak experiment, The Next Step (TNS)

  8. 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.

  9. Image Fusion using Discrete Wavelets Transform

    OpenAIRE

    Nupur Dinesh Chauhan; Manish N. Tibdewal

    2014-01-01

    This paper explains brief algorithm of image fusion using discrete wavelet transform, Where spatial and spectral both information were preserved in the fused image.. We have developed a robust technique to merge two multi focused images in to the one using wavelet transform. Image fusion achieved with DWT lifting scheme proves to be better than existing Image fusion techniques.

  10. Intelligence Fusion [video

    OpenAIRE

    Center for Homeland Defense and Security Naval Postgraduate School; France, Paul

    2016-01-01

    Paul France is the Homeland Security Field Operations Manager for the state of Wisconsin. He is a current participant in the Naval Postgraduate School's Homeland Security Master's Program and is working on a thesis entitled 'Preventing Terrorism through Information Sharing Using TEW Systems and Intelligence Fusion Centers.

  11. Wavelet Transform based Medical Image Fusion With different fusion methods

    OpenAIRE

    Anjali Patil; M N Tibdewal

    2015-01-01

    This paper proposes wavelet transform based image fusion algorithm, after studying the principles and characteristics of the discrete wavelet transform. Medical image fusion used to derive useful information from multimodality medical images. The idea is to improve the image content by fusing images like computer tomography (CT) and magnetic resonance imaging (MRI) images, so as to provide more information to the doctor and clinical treatment planning system. This paper based on t...

  12. 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

  13. Distributed multi-sensor fusion

    Science.gov (United States)

    Scheffel, Peter; Fish, Robert; Knobler, Ron; Plummer, Thomas

    2008-03-01

    McQ has developed a broad based capability to fuse information in a geographic area from multiple sensors to build a better understanding of the situation. The paper will discuss the fusion architecture implemented by McQ to use many sensors and share their information. This multi sensor fusion architecture includes data sharing and analysis at the individual sensor, at communications nodes that connect many sensors together, at the system server/user interface, and across multi source information available through networked services. McQ will present a data fusion architecture that integrates a "Feature Information Base" (FIB) with McQ's well known Common Data Interchange Format (CDIF) data structure. The distributed multi sensor fusion provides enhanced situation awareness for the user.

  14. Adaptive sensor fusion

    Science.gov (United States)

    Kadar, Ivan

    1995-07-01

    A perceptual reasoning system adaptively extracting, associating, and fusing information from multiple sources, at various levels of abstraction, is considered as the building block for the next generation of surveillance systems. A system architecture is presented which makes use of both centralized and distributed predetection fusion combined with intelligent monitor and control coupling both on-platform and off-board track and decision level fusion results. The goal of this system is to create a `gestalt fused sensor system' whose information product is greater than the sum of the information products from the individual sensors and has performance superior to either individual or a sub-group of combined sensors. The application of this architectural concept to the law enforcement arena (e.g. drug interdiction) utilizing multiple spatially and temporally diverse surveillance platforms and/or information sources, is used to illustrate the benefits of the adaptive perceptual reasoning system concept.

  15. 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.

  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. 海面分布式传感器多信息融合技术%Research of distributed multi sensor information fusion technology

    Institute of Scientific and Technical Information of China (English)

    董双双

    2015-01-01

    在海上军事指挥系统及其目标识别中,基于分布式的多传感器信息融合技术一直是海上作战体系中的重要研究课题。由于受海面环境噪声等因素影响,单个传感器对目标物数据的采集往往精度比较低甚至会出现误差。本文重点研究信息融合技术中的数据关联算法,提出一种联合概率数据关联算法,较好的克服了在海面噪声干扰及多径信道干扰条件下的多目标定位跟踪的精度。最后对算法进行实验仿真,通过分析得出此算法的有效性。%In the marine target recognition system, the information fusion technology based on distributed multi sensor is the important research topic. Because of the sea ambient noise factors, the accuracy of single sensor data sampling is not high. This paper focuses on the research of information fusion technology in data association algorithm, last proposed a kind of joint probability data association algorithm, overcome the sea noise interference.

  18. 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.

  19. 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. PMID:24982935

  20. 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.

  1. 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

  2. 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.

  3. Function inverse packet sets and information law fusion%函数逆P-集合与信息规律融合

    Institute of Scientific and Technical Information of China (English)

    史开泉

    2012-01-01

    and method of studying another class of dynamic information law characteristic, while function P-sets is applied to study the first class of dynamic information law char- acteristic. The paper gives the structure, the resduction and function eqivalent class characteristic of function inverse P- sets. Using the data separation-composition principle, inverse P-information law fusion and its generation, the attribute characteristic and attribute theorem of inverse P-information law fusion are presented. Using the above results, the hid- den information image generated by inverse P-information law fusion and its application are given. Function inverse P- sets and function P-sets are two novel models with mutual independence and different characteristic.

  4. Using local extremum curvatures to extract anatomical markers from medical images

    Science.gov (United States)

    Le Briquer, Lionel; Lachmann, Frederic; Barillot, Christian

    1993-09-01

    Among the studies concerning the segmentation and the identification of anatomical structures from medical images, one of the major problems is the fusion of heterogeneous data for the recognition of these structures. In this domain, the fusion of inter-patient data for the constitution of anatomical models for instance is particularly critical especially with regards to the identification of complex cerebral structures like the cortical gyri. The goal of this work is to find anatomical markers which can be useful to characterize specific regions in brain images by using either CT or MR images. We have focused this study on the definition of a geometrical operator based on the detection of local extremum curvatures. The main issues addressed by this work concern the fusion of multimodal data from one patient (e.g. between CT and MRI) and moreover the fusion of inter-patient data as a first step toward the modelling of brain morphological deformations. Examples are shown upon 2D MR and CT brain images.

  5. 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...

  6. 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.

  7. Normal anatomical measurements in cervical computerized tomography

    Energy Technology Data Exchange (ETDEWEB)

    Zaunbauer, W.; Daepp, S.; Haertel, M.

    1985-11-01

    Radiodiagnostically relevant normal values and variations for measurements of the cervical region, the arithmetical average and the standard deviation were determined from adequate computer tomograms on 60 healthy women and men, aged 20 to 83 years. The sagittal diameter of the prevertebral soft tissue and the lumina of the upper respiratory tract were evaluated at exactly defined levels between the hyoid bone and the incisura jugularis sterni. - The thickness of the aryepiglottic folds, the maximal sagittal and transverse diameters of the thyroid gland and the calibre of the great cervical vessels were defined. - To assess information about laryngeal function in computerized tomography, measurements of distances between the cervical spine and anatomical fixed points of the larynx and hypopharynx were made as well as of the degree of vocal cord movement during normal respiration and phonation.

  8. Fusion energy 2000. Fusion energy 1998 (2001 Edition). Proceedings

    International Nuclear Information System (INIS)

    This CD-ROM contains the Proceedings of 18th International Conference on Fusion Energy. It also contains an updated version of the Fusion Energy Conference 1998 Proceedings (38 additional papers included) as well as information on how to use this CD-ROM. The 18th International Atomic Energy Agency Fusion Energy Conference (FEC-2000) was held in Sorrento, Italy, 4-10 October 2000. 573 participants from over thirty countries and three international organizations took part in this Conference. The Conference was organized by the IAEA in co-operation with the Italian National Agency for New Technology, Energy and Environment (ENEA). Around 400 papers were presented in 22 oral and 8 poster sessions on magnetic confinement experiments, inertial fusion energy, plasma heating and current drive, ITER engineering design activities, magnetic confinement theory, innovative concepts, fusion technology, and safety and environment aspects. The 17th International Atomic Energy Agency (IAEA) Fusion Energy Conference was held in Yokohama, Japan, 19-24 October 1999. This 6-day conference, which was attended by 835 participants from over 30 countries and two international organizations, was organized by the IAEA in co-operation with the Japan Atomic Energy Research Institute (JAERI). More than 360 papers plus 5 summary talks were presented in 23 oral and 8 poster sessions on magnetic confinement and experiments, inertial fusion energy, plasma heating and current drive, ITER engineering design activities, magnetic confinement theory, innovative concepts and fusion technology

  9. ACCESSORY SPLEEN: A CLINICALLY RELEVANT ANATOMIC ANOMALY

    Directory of Open Access Journals (Sweden)

    Prachi Saffar

    2016-02-01

    Full Text Available The purpose of our study is to emphasize on the clinical relevance of the presence of accessory spleen. It is not only a well-documented anatomic anomaly, it holds special significance in the differential diagnosis of intra-abdominal tumours and lymphadenopathy. MATERIALS AND METHODS Thirty male cadavers from North Indian population above the age of 60 yrs. were dissected in the Anatomy Department of FMHS, SGT University, Gurgaon, over a period of 5 yrs. (Sep 2010-Aug 2015 and presence of accessory spleen recorded. Tissue from the accessory spleen was also subjected to routine histological processing and slide prepared by haematoxylin and eosin staining. RESULTS Accessory spleen was present in two cadavers near the splenic hilum. One was 3.9 cm in the long axis and weighed about 48.4 grams, while the other was 1.2 cm in long axis and weighed about 12.5 grams. One had a separate arterial branch from the main splenic artery; that it was splenic tissue was confirmed histologically. DISCUSSION The presence of accessory spleen is considered to be due to embryonic non-fusion of the splenic aggregate with the main mass. CONCLUSION Though accessory spleen in itself pose no clinical problems, its significance cannot be undermined. Surgeons and radiologists are advised to look for and rule out the presence of accessory spleen, especially while evaluating a case of abdominal and perineal pathology, else it may be wrongly diagnosed as malignant tumour or enlarged lymph node leading to grave consequences.

  10. Short fusion

    CERN Multimedia

    2002-01-01

    French and UK researchers are perfecting a particle accelerator technique that could aid the quest for fusion energy or make X-rays that are safer and produce higher-resolution images. Led by Dr Victor Malka from the Ecole Nationale Superieure des Techniques Avancees in Paris, the team has developed a better way of accelerating electrons over short distances (1 page).

  11. Magnetic fusion

    International Nuclear Information System (INIS)

    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

  12. Fusion Policy Advisory Committee (FPAC)

    International Nuclear Information System (INIS)

    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

  13. 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.

  14. 基于信息融合的自主天文导航方法%Method of autonomous celestial navigation based on information fusion

    Institute of Scientific and Technical Information of China (English)

    王鹏; 张迎春

    2012-01-01

    Direct sensing horizon and indirect sensing horizon are two typical kinds of autonomous celestial navigation method. Direct sensing horizon is simply and reliable, but the navigation precision that depends mainly on earth sensor is lower. Indirect sensing horizon gets horizon information by observing atmosphere refraction stellar using the star sensor. Because the numbers of refraction stellar and observing time are limited, the observed information is discontinuous. A new method of autonomous celestial navigation using both of the two methods based on information fusion is presented. The new information is imported when refraction stars cannot be observed. Simulation results show that the proposed method can improve the precision and reliability of the navigation system.%直接敏感地平和间接敏感地平是典型的两种自主天文导航方法,直接敏感地平简单可靠,但是由于地球敏感器精度较低,因此导航精度不高;利用星光折射的间接敏感地平精度较高,但是折射星数量有限并且观测时段较短.针对上述两种方法的缺点,提出一种基于信息融合的自主天文导航方法.当观测不到折射星时引入新信息,弥补间接敏感地平自主导航的不足.通过对多种导航模式进行数值仿真与分析,验证所设计方法提高了系统的导航精度和可靠性.

  15. 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.

  16. 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.

  17. Advanced fusion concepts: project summaries

    International Nuclear Information System (INIS)

    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

  18. 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).

  19. Anatomical entity recognition with a hierarchical framework augmented by external resources.

    Directory of Open Access Journals (Sweden)

    Yan Xu

    Full Text Available References to anatomical entities in medical records consist not only of explicit references to anatomical locations, but also other diverse types of expressions, such as specific diseases, clinical tests, clinical treatments, which constitute implicit references to anatomical entities. In order to identify these implicit anatomical entities, we propose a hierarchical framework, in which two layers of named entity recognizers (NERs work in a cooperative manner. Each of the NERs is implemented using the Conditional Random Fields (CRF model, which use a range of external resources to generate features. We constructed a dictionary of anatomical entity expressions by exploiting four existing resources, i.e., UMLS, MeSH, RadLex and BodyPart3D, and supplemented information from two external knowledge bases, i.e., Wikipedia and WordNet, to improve inference of anatomical entities from implicit expressions. Experiments conducted on 300 discharge summaries showed a micro-averaged performance of 0.8509 Precision, 0.7796 Recall and 0.8137 F1 for explicit anatomical entity recognition, and 0.8695 Precision, 0.6893 Recall and 0.7690 F1 for implicit anatomical entity recognition. The use of the hierarchical framework, which combines the recognition of named entities of various types (diseases, clinical tests, treatments with information embedded in external knowledge bases, resulted in a 5.08% increment in F1. The resources constructed for this research will be made publicly available.

  20. 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'.

  1. 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.

  2. Fusion rules of equivariantizations of fusion categories

    OpenAIRE

    Burciu, Sebastian; Natale, Sonia

    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.

  3. Cyclic Processing for Context Fusion

    OpenAIRE

    Kjærgaard, Mikkel Baun

    2007-01-01

    Many machine-learning techniques use feedback information. However, current context fusion systems do not support this because they constrain processing to be structured as acyclic processing. This paper proposes a generalization which enables the use of cyclic processing in context fusion systems. A solution is proposed to the inherent problem of how to avoid uncontrollable looping during cyclic processing. The solution is based on finding cycles using graph-coloring and breaking cycles usin...

  4. Cold Fusion

    OpenAIRE

    Zhang, Chu; Yue, Manyu; Yu, Huanzhang; Chen, Cheng

    2006-01-01

    Science can often result in technologies which can solve energy problems in societies. On March 23, 1989, two scientists Stanley Pons and Martin Fleischmann claimed at a press conference that they had been able to perform nuclear fusion at room temperature. Their claim was quickly investigated and checked by many scientists around the world. Their discovery generated a heated debate in the scientific literature and magazines in the next few years, and their work was criticized for being unsci...

  5. Carpal Fusion

    OpenAIRE

    Jalal Jalalshokouhi; Mohammad Hossein Herischi; Shahyar Pashaei; Ali Akbar Ameri

    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...

  6. Investigation of cold fusion phenomena in deuterated metals. Final report, Volume 1. Overview, executive summary, chemistry, physics, gas reactions, metallurgy. Technical information series

    International Nuclear Information System (INIS)

    The March 1989 announcement by Pons and Fleischmann stimulated worldwide interest in the cold fusion phenomenon. In Utah the legislature appropriated $5 million to support cold fusion research and development. As cold fusion inquiries continue worldwide, this interim report has been written to document the scientific and legal work that has been funded by the Utah legislature. Partial contents include these titles of papers: Cold Fusion Studies in a High-Pressure Sealed Cell; Tritium and Neutron Generation in Palladium Cathodes with High Deuterium Loading; Deuterium-Gas Phase Reactions on Palladium; Excess Heat Estimation with the Kalman Filter; Ultrasonic Energy Effects on Palladium Electrodes in Cold Fusion Cells; Nuclear Measurements on Deuterium-Loaded Palladium and Titanium

  7. ICT融合打开信息应用新天地%ICT Fusion to Open New Information Application

    Institute of Scientific and Technical Information of China (English)

    沈峥嵘

    2008-01-01

    随着技术的进步,信息和通信行业都在朝着相同的方向演进,相互渗透,相互学习,直到相互融合、密不可分。如今,信息通信技术(Information and Communication Technology, 简称ICT)这个概念已经在国内和国际社会快速推广。

  8. GlobaliFusion, The First Worldwide, Holistic, Information & Communication Technologies (ICT) and Big Data Aggregation Approach to Social Media Marketing

    OpenAIRE

    Greg Sand; Leonidas Tsitouras; George Dimitrakopoulos; Vassilis Chatzigiannakis

    2015-01-01

    The internet and Social Media have been playing a vital role in almost everyone’s communication and interactions. The same holds true for a company’s two-way communication with its consumers. This tremendous flow of information can drastically increase any company’s exposure to its consumers and shoppers. Consequently, it can decisively affect consumers’ opinion about products and services. Molloy College in Rockville Centre, New York is the home of GiF, the first worldwide, holistic ICT-base...

  9. 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.

  10. 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

  11. 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…

  12. Are the Genitalia of Anatomical Dolls Distorted?

    Science.gov (United States)

    Bays, Jan

    1990-01-01

    To determine whether the genitalia of anatomical dolls are disproportionately large and may suggest sexual activity to children who have not been abused, the genitalia and breasts of 17 sets of anatomical dolls were measured. When the measurements were extrapolated to adult human proportions, the sizes were not found to be exaggerated. (Author/JDD)

  13. 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.

  14. TWO STAGE SPATIAL DOMAIN IMAGE FUSION TECHNIQUES

    Directory of Open Access Journals (Sweden)

    C. Morris

    2014-08-01

    Full Text Available The objective of Image fusion is to combine the information from number of images of the same scene from different sensors or the images with focus on different objects. The result of image fusion is an image which is more informative and of better quality. In this paper a detailed survey of Select Maximum /minimum and principal component analysis for spatial domain image fusion techniques is done. On the basis of the survey an improved spatial domain fusion technique is proposed. The proposed spatial domain technique output performs as the state of the art spatial domain techniques.

  15. Anatomical imbalance between cortical networks in autism

    Science.gov (United States)

    Watanabe, Takamitsu; Rees, Geraint

    2016-01-01

    Influential psychological models of autism spectrum disorder (ASD) have proposed that this prevalent developmental disorder results from impairment of global (integrative) information processing and overload of local (sensory) information. However, little neuroanatomical evidence consistent with this account has been reported. Here, we examined relative grey matter volumes (rGMVs) between three cortical networks, how they changed with age, and their relationship with core symptomatology. Using public neuroimaging data of high-functioning ASD males and age-/sex-/IQ-matched controls, we first identified age-associated atypical increases in rGMVs of the regions of two sensory systems (auditory and visual networks), and an age-related aberrant decrease in rGMV of a task-control system (fronto-parietal network, FPN) in ASD children. While the enlarged rGMV of the auditory network in ASD adults was associated with the severity of autistic socio-communicational core symptom, that of the visual network was instead correlated with the severity of restricted and repetitive behaviours in ASD. Notably, the atypically decreased rGMV of FPN predicted both of the two core symptoms. These findings suggest that disproportionate undergrowth of a task-control system (FPN) may be a common anatomical basis for the two ASD core symptoms, and relative overgrowth of the two different sensory systems selectively compounds the distinct symptoms. PMID:27484308

  16. Anatomical imbalance between cortical networks in autism.

    Science.gov (United States)

    Watanabe, Takamitsu; Rees, Geraint

    2016-01-01

    Influential psychological models of autism spectrum disorder (ASD) have proposed that this prevalent developmental disorder results from impairment of global (integrative) information processing and overload of local (sensory) information. However, little neuroanatomical evidence consistent with this account has been reported. Here, we examined relative grey matter volumes (rGMVs) between three cortical networks, how they changed with age, and their relationship with core symptomatology. Using public neuroimaging data of high-functioning ASD males and age-/sex-/IQ-matched controls, we first identified age-associated atypical increases in rGMVs of the regions of two sensory systems (auditory and visual networks), and an age-related aberrant decrease in rGMV of a task-control system (fronto-parietal network, FPN) in ASD children. While the enlarged rGMV of the auditory network in ASD adults was associated with the severity of autistic socio-communicational core symptom, that of the visual network was instead correlated with the severity of restricted and repetitive behaviours in ASD. Notably, the atypically decreased rGMV of FPN predicted both of the two core symptoms. These findings suggest that disproportionate undergrowth of a task-control system (FPN) may be a common anatomical basis for the two ASD core symptoms, and relative overgrowth of the two different sensory systems selectively compounds the distinct symptoms. PMID:27484308

  17. Probabilistic fusion of angiographic and echographic images for the 3D reconstruction of vessels

    Science.gov (United States)

    Pellot-Barakat, Claire J. M.; Bloch, Isabelle; Sureda, Francisco; Herment, Alain; Sigelle, Marc; Horain, Patrick J.; Long, Anne

    1995-05-01

    In order to provide a better quantitative and morphologic description of complex vascular lesions, we propose an approach of 3D reconstruction of the vessel internal wall, based on data fusion from two different imaging sources: two x ray digital angiography projections and a stack of endovascular echography slices. After extraction of echographic and angiographic information to be fused, a geometric model leads to the determination of the unknown parameters which allow the alignment of all data in a common reference frame. Both types of data are then directly included in a probabilistic reconstruction process based on Markov random fields. The Markovian model consists of cost functions reflecting x ray and ultrasonic data consistency and regularization elements to control the anatomic reality of the reconstruction. The optimal solution according to the definition criteria is obtained by minimizing the model energy with an algorithm based on simulated annealing. Preliminary results have been obtained with data acquired on a dog aorta. The accuracy of reconstruction by data fusion is significantly improved compared with results obtained with separate reconstruction from angiographic or echographic data. Taking into account all information available about the problem, the method avoids uncertainties and ambiguities of a reconstruction based only on one modality, and the probabilistic fusion solves the possible contradictions between both acquisitions.

  18. 信息技术与教学深度融合的优课课例研究%Case Study on Depth Fusion of Information Technology and Instruction

    Institute of Scientific and Technical Information of China (English)

    胡小勇; 郑晓丹; 冯智慧

    2015-01-01

    Depth fusion of information technology and instruction is topic focus of e-Education nowadays. The high-quality teaching nationwide campaign nationally held by Ministry of Education in July 2014 is signiifcant meaningful to promote depth fusion of information technology and instruction in primary and secondary schools. The study analyses a high-quality teaching with information technology by Flands interaction analysis system. It summaries characteristics of high-quality teaching with depth fusion of information technology and instruction in order to give references for teachers to practice informationization innovation.%信息技术与教学深度融合,是当今教育信息化研究的焦点话题。教育部于2014年7月份开展的全国“优课”评选活动,对于有效推动信息技术与中小学教学的深度融合,具有重要意义。该文运用弗兰德斯互动分析系统(FIAS),对一节信息化教学的优质课例进行互动分析,并提出了信息技术与教学深度融合优质课例特征,以为中小学教师开展信息化教学创新实践提供参考。

  19. 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。

  20. 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.

  1. 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.

  2. Adaptive sensor fusion using genetic algorithms

    Energy Technology Data Exchange (ETDEWEB)

    Fitzgerald, D.S.; Adams, D.G.

    1994-08-01

    Past attempts at sensor fusion have used some form of Boolean logic to combine the sensor information. As an alteniative, an adaptive ``fuzzy`` sensor fusion technique is described in this paper. This technique exploits the robust capabilities of fuzzy logic in the decision process as well as the optimization features of the genetic algorithm. This paper presents a brief background on fuzzy logic and genetic algorithms and how they are used in an online implementation of adaptive sensor fusion.

  3. 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. PMID:27283070

  4. 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?

  5. 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...

  6. 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.

  7. Health physics aspects of fusion power

    International Nuclear Information System (INIS)

    Fusion reactor technology is presently in conceptual and early developmental stages. Concomitant with hardware development, potential health and environmental impacts must be evaluated. This evaluation is necessary to ensure that technologists have pertinent information available such that adequate consideration is given to health and environmental problems. Problem areas attendant to tritium, activation products, and magnetic fields associated with fusion reactor systems are discussed

  8. Swedish thermometer for fusion reactors

    International Nuclear Information System (INIS)

    A neutron spectrometer called Tansy, which can measure temperatures in a fusion reactor, has been developed in the Department of Reactor Physics at Chalmers University of Technology in Gothenburg, Sweden. The instrument has been designed, constructed and tested over the past eight years and it has become one of Sweden's contributions of scientific know-how to the JET (Joint European Torus) fusion centre in Britain. A thesis by Dr. D. Aronsson entitled 'The development of a spectrometer for 14MeV neutrons from fusion' describes his part in the development of the instrument. Hydrogen fusion could become an important future source of energy provided we learn to use it properly, he says. As the release of energy during fusion takes place at such high temperatures, the plasma (fuel) can only be kept in place by strong magnetic fields. One way to measure temperatures of such magnitude is to study the neutrons scattered by the process. With the aid of Tansy, it is possible to study the variations in speed between different neutrons emerging from the fusion process at an average speed of 50,000 km/sec. The basic principle is quite simple; the released neutrons hit a thin polyethylene foil and some of them collide with the hydrogen atom nuclei. After the collision, the particles continue in different directions. Tansy has a system of detectors which can register and identify the two types of particles at the same time. A computer can then use this information together with knowledge about the effects of the collision to calculate the speed of the neutrons released by the fusion, and from this determine the temperature at combustion. In its present form, Tansy is a one-off and will probably not be produced again, Dr. Aronsson says, but the principle is likely to be used again. If fusion becomes an energy producing method of the future, instruments like Tansy will be needed to control the process

  9. A Mathematical Framework for Incorporating Anatomical Knowledge in DT-MRI Analysis

    OpenAIRE

    Maddah, Mahnaz; Zöllei, Lilla; Grimson, W. Eric L.; Westin, Carl-Fredrik; Wells, William M.

    2008-01-01

    We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectation-maximization (EM) algorithm is used to cluster the trajectories, in which an atlas serves as the prior on the labels. The atlas guides the clustering algorithm and makes the resulting bundles anatomically meaningful. In addition, it provides the seed points for the tractography and initial settings of the EM algorithm. The proposed approach provides a robust and automat...

  10. Root anatomical phenes predict root penetration ability and biomechanical properties in maize (Zea Mays)

    OpenAIRE

    Chimungu, Joseph G.; Loades, Kenneth W.; Lynch, Jonathan P.

    2015-01-01

    The ability of roots to penetrate hard soil is important for crop productivity but specific root phenes contributing to this ability are poorly understood. Root penetrability and biomechanical properties are likely to vary in the root system dependent on anatomical structure. No information is available to date on the influence of root anatomical phenes on root penetrability and biomechanics. Root penetration ability was evaluated using a wax layer system. Root tensile and bending strength we...

  11. 高斯马尔可夫融合算法在卡尔曼滤波中的应用%Multi-Sensor Information Fusion Kalman Filter Based on Gauss-Markov Fusion Algorithm

    Institute of Scientific and Technical Information of China (English)

    余熙; 张天骐; 魏世朋; 白娟

    2012-01-01

    针对目前常用的按标量、对角阵、矩阵加权融合方法过程较复杂,计算负担较重的问题,结合三维目标跟踪模型提出一种高斯马尔可夫融合方法来融合卡尔曼滤波估计值,不需要计算局部稳态滤波误差互协方差,只需要知道传感器的观测噪声方差就可以了.计算方法和操作相对简单,省略了很多繁琐步骤也能达到不错的滤波融合效果,通过仿真证明了此方法的可行性和高效性.%For the problem of complicated current fusion methods based on weighing by scalar, weig hing by diagonal matrices and weighing by matrices, a new fusion method Gauss-Markov algorithm which fuses Kalman filtering estimations needing only the sensor' s observing yawp variance without the need < computing local steady state filtering error cross covariance is proposed. The computing and operation c this method is easier, it can still get good result without many cumbersome procedures. The simulatio proves that the method is feasible and efficiency.

  12. Performance Improvement of Multi Image Fusion in Wavelet Domain for Medical Images

    OpenAIRE

    Basant Dhakad; Vivek Shrivastava

    2013-01-01

    Today, image fusion as one kind of information integrated technology has played an important role in many fields. Most of previous image fusion methods aim at obtaining as many as information from the different images. But in this paper the fusion criterion is to minimize different error between the fused image and the input images. This paper presents the use of image fusion of medical images. Multi-sensor image fusion is the process of combining information from two or more imag...

  13. 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.

  14. 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.

  15. 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. PMID:25324429

  16. 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.

  17. 一种改进的分布递阶无线传感器网络信息融合算法%An Improved Distributed Hierarchical Information Fusion Algorithm in Wireless Sensor Network

    Institute of Scientific and Technical Information of China (English)

    邵靖宇; 谢森

    2013-01-01

    Information fusion technology is a multidisciplinary highly integrated popular research fields. In view of the security threats in the coal mine environmental monitoring system, A distributed hierarchical information fusion algo-rithm is proposed in wireless sensor network. In the source, the inproved Kalman filtering are used to reduce the power consumption and data collision. In the sink, the dynamic weighted fusion algorithm based on linear minimum variance sense is adopted. This method is minimize the overall power consumption and the probability of collision in the network as well, it can realize signal reconstruction. A simple example is performed to verify the reliability and fusioning pre-cision of this method, at the same time it has high fault-tolerant.%  信息融合技术是一个多学科高度集成的热点研究领域,目前针对煤矿井下环境监测系统的安全隐患问题,提出了一种基于无线传感器网络的分布递阶卡尔曼滤波信息融合算法,其中下层源节点采用改进卡尔曼滤波算法,上层汇聚节点采用方差自适应的加权信息融合算法,该算法能有效降低无线传感器网络能耗和网络信息冲突,实现信号重构。仿真结果表明,该算法具有很高的可靠性和信息融合精度,有较好的工程实用价值。

  18. Fusion energy

    International Nuclear Information System (INIS)

    The main purpose of the International Thermonuclear Experimental Reactor (ITER) is to develop an experimental fusion reactor through the united efforts of many technologically advanced countries. The ITER terms of reference, issued jointly by the European Community, Japan, the USSR, and the United States, call for an integrated international design activity and constitute the basis of current activities. Joint work on ITER is carried out under the auspices of the International Atomic Energy Agency (IAEA), according to the terms of quadripartite agreement reached between the European Community, Japan, the USSR, and the United States. The site for joint technical work sessions is at the MaxPlanck Institute of Plasma Physics. Garching, Federal Republic of Germany. The ITER activities have two phases: a definition phase performed in 1988 and the present design phase (1989--1990). During the definition phase, a set of ITER technical characteristics and supporting research and development (R ampersand D) activities were developed and reported. The present conceptual design phase of ITER lasts until the end of 1990. The objectives of this phase are to develop the design of ITER, perform a safety and environmental analysis, develop site requirements, define future R ampersand D needs, and estimate cost, manpower, and schedule for construction and operation. A final report will be submitted at the end of 1990. This paper summarizes progress in the ITER program during the 1989 design phase

  19. Technical issues for beryllium use in fusion blanket applications

    International Nuclear Information System (INIS)

    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

  20. 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...

  1. 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

  2. The challenges of fusion

    International Nuclear Information System (INIS)

    The new boss of the world's biggest fusion experiment cannot afford to fail. Kaname Ikeda will soon be a name on many physicists' lips. Though the outgoing Japanese ambassador to Croatia and former science administrator is not currently widely known, that will all change when he starts work later this month as director general of the International Thermonuclear Experimental Reactor (ITER). Set to be built at Cadarache near Marseille in southern France - assuming the ITER treaty is ratified - this Euro10bn facility is designed to show that fusion could be turned into a practical energy source.To do so would be huge achievement. Fusion reactors could play a massive role in meeting the world's rapidly growing demand for energy. They promise to be environmentally friendly and relatively safe to operate, while the raw materials they need are plentiful. However, early progress in fusion research led plasma physicists to be over optimistic about this energy source, and a commercial fusion plant remains as far off in the future as it was back in the 1970s. Ikeda therefore has a tough job on his hands, as he readily admits in our interview with him (see p12; print version only). It will be no mean feat to build ITER on time and to budget, and Ikeda will have to draw heavily on his undoubted diplomatic skills to ensure that everyone involved in this complex international project gets on. ITER is hugely ambitious in engineering terms, with vast superconducting magnets needed to confine a deuterium-tritium plasma within a doughnut-shaped 'tokamak' vessel. Numerous technical challenges will have to be addressed to ensure ITER fulfils its goal of releasing more energy than it consumes. These include choosing which material to line the inner wall of the tokamak with, overcoming the accumulation of radioactive tritium on this surface, and controlling the properties of the plasma. Fortunately, such issues are being addressed at the recently upgraded Joint European Torus near Oxford

  3. 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.

  4. 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.

  5. 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.)

  6. Bimolecular fluorescence complementation analysis of eukaryotic fusion products

    OpenAIRE

    Lin, Ho-Pi; Vincenz, Claudius; Eliceiri, Kevin W.; Kerppola, Tom K.; Ogle, Brenda M.

    2010-01-01

    Background information. Cell fusion is known to underlie key developmental processes in humans and is postulated to contribute to tissue maintenance and even carcinogenesis. The mechanistic details of cell fusion, especially between different cell types, have been difficult to characterize because of the dynamic nature of the process and inadequate means to track fusion products over time. Here we introduce an inducible system for detecting and tracking live cell fusion products in vitro and ...

  7. 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.

  8. Anatomical mapping of the nasal muscles and application to cosmetic surgery.

    Science.gov (United States)

    Konschake, Marko; Fritsch, Helga

    2014-11-01

    We present an anatomical mapping of the most important muscles influencing the nose, incorporating constant anatomical structures, and their spatial correlations. At our disposal were the midfaces of 18 bodies of both sexes, obtained by informed consent from body donors aged between 60 and 80 years. Macroscopically, we dissected the nasal regions of eight corpses, six midfaces were prepared according to plastination histology, four by creating plastinated slices. On their way from their periosteal origin to the edge of the skin, the muscles of the nose cross the subcutaneous adipose tissue, dividing it into superficial and deep layers. The individual muscle fibers insert into the skin directly at the reticular corium. Sometimes, they reach the border of the epidermis which represents a special arrangement of corial muscle attachments. The course of the anatomical fibers of individual nasal muscles presented macroscopically and microscopically in this study offers surgeons a detailed overview of the anatomically important muscular landmarks of the midface. PMID:24863980

  9. 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.

  10. 1995 International Sherwood Fusion Theory Conference

    International Nuclear Information System (INIS)

    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

  11. REVIEW ON IMAGE FUSION TECHNIQUES AND PERFORMANCE EVALUATION PARAMETERS

    Directory of Open Access Journals (Sweden)

    DR. H.B. KEKRE

    2013-04-01

    Full Text Available With the advent and proliferation of image processing, image fusion has been an important research topic in many related areas such as computer vision, automatic object detection, remote sensing, robotics, medical imaging, image classification, military and law enforcement, etc. The aim of image fusion is to integrate corresponding information from different sources into one new image. The idea is to lessen uncertainty and minimize redundancy in the output while maximizing relevant information particular to an application or task. This paper discusses the basics of image fusion, various pixel level algorithms for image fusion and methods for evaluating and assessing the performance of these fusion algorithms.

  12. Bemerkungen zur "kalten Fusion"

    CERN Document Server

    Kuehne, R W

    2006-01-01

    Steven Jones et al. reported to have observed nuclear fusion at room temperature. They observed this "cold fusion" by electrolyzing heavy water. Later experiments confirmed these observations. These experiments confirmed the generation of strong electric fields within the deuterided metals. These electric fields accelerate the deuterons to keV energies and allow the observed nuclear fusion. Roman Sioda and I suggested a theoretical description of this nuclear fusion. Our "extended micro hot fusion" scenario explains how nuclear fusion can be generated over a long time within deuterided metals. Moreover we predicted the explosion of large pieces of deuterided metals. This article reviews the "cold fusion" work of Steven Jones et al. and discusses the fracto-fusion scenario. I show that the extended micro hot fusion scenario can explain the observed neutron emissions, neutron bursts, and heat bursts.

  13. 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...

  14. Research on compound protection for mine power network based on information fusion%基于信息融合的矿山电网复合保护

    Institute of Scientific and Technical Information of China (English)

    张鑫; 牟龙华

    2012-01-01

    A complex protection scheme for power distribution line based on information fusion of power current and fault transient current was presented. In this scheme, band pass filters were connected at boundaries of protected zones in parallel. Due to the attenuation of transient component of fault current at frequency pass-band of the device, the difference of transient current spectrum energy in the frequency band between internal faults and external faults was strengthened. The results of PSCAD / EMTDC simulation prove the obvious difference, and protection setting value can be chosen based on the results of simulation. For reducing the loss of information caused by "Discount Rule", the bas- ic belief assignments of transient current and power current were set up by full subset reference vector method. Two ev- idences were fused by the D-S evidence combination theory, and a decision-making method based on the basic belief assignment was used to discriminate the internal faults. The simulation results prove that the scheme is an available mine 6/10 kV distribution line protection solution, which can not only discriminate internal faults or external faults, but also can ensure protection reliability under lighting strike or switch operating.%针对矿山电网,提出一种基于工频电流与故障暂态电流信息融合的复合保护方案,即在线路边界处并联一定通频带的带通滤波装置,利用装置对通频带内暂态电流分量的衰减作用,强化区内、外故障时故障暂态电流的能量差异。通过PSCAD/EMTDC仿真,验证了带通滤波装置导致区内、外故障暂态电流分量产生明显的差异。采用参考向量法以全子集的方式对暂态电流和工频电流两种证据构建基本信任分配函数,从而减少"折扣规则"对信息的损失,并利用D-S证据合成理论对两种证据进行信息融合,以基本信任分配函数的决策方法来判断区内故障。仿真计算结果表

  15. 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.

  16. 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.

  17. 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

  18. 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.

  19. Review of fusion synfuels

    International Nuclear Information System (INIS)

    Thermonuclear fusion offers an inexhaustible source of energy for the production of hydrogen from water. Depending on design, electric generation efficiencies of approx. 40 to 60% and hydrogen production efficiencies by high-temperature electrolysis of approx. 50 to 65% are projected for fusion reactors using high-temperatures blankets. Fusion/coal symbiotic systems appear economically promising for the first generation of commercial fusion synfuels plants. Coal production requirements and the environmental effects of large-scale coal usage would be greatly reduced by a fusion/coal system. In the long term, there could be a gradual transition to an inexhaustible energy system based solely on fusion

  20. 大数据时代信息技术与高等教育深度融合的思考%Deep Level Fusion of Information Technology and Higher Education in the Big Data Era

    Institute of Scientific and Technical Information of China (English)

    付岩; 张建勋

    2014-01-01

    教育信息化是实现信息技术与高等教育深度融合的现实语境,也是实现教育现代化的战略选择。文章首先分析了大数据时代的特点及大数据引发的教育变革,明确了大数据时代信息技术与高等教育深度融合的内涵,指出了当前高等教育信息化推进过程中存在的问题。最后从教学理念、教学环境、教学资源、教学应用、组织机制创新等方面给出大数据时代信息技术与高等教育深度融合的路径选择。%Education information is not only the context to achieve deep level fusion of information technology and higher education, but also a strategic necessity to achieve the goal of education modernization. Firstly, the characteristics of the big data era and the educational change triggered by big data was analyzed, and the meaning of deep level fusion of information technology and higher education in the big data era was defined. And then, the problems in informationizing our higher education were pointed out. Finally, a possible way to deepen the fusion between IT and higher education was gaven in terms of teaching philosophy, teaching environment, teaching resources, teaching applications, and organizational mechanism innovation.

  1. Research on Information Fusion Technology for Active-Passive Radar Composite Seeker%主被动雷达复合导引头信息融合技术研究

    Institute of Scientific and Technical Information of China (English)

    尤晓伟

    2014-01-01

    In the present work , an information fusion algorithm based on sequential extended Kalman filtering ( SEKF) for the active-passive radar composite seeker is proposed.First, the angle error is achieved from the active-passive radar composite seeker , and then an optimization strategy is used to weight the matched angle errors , which can be used to estimate the dynamic information of the targets.The experiments show that the steady-state error of state estimation based on active-passive radar information fusion is smaller than that relies on active radar measure -ment only.Meanwhile , the former filter has a faster convergence.%针对主被动雷达复合导引头,研究了基于序贯扩展Kalman滤波的信息融合算法。利用主被动雷达复合导引头对目标角误差进行观测,将匹配后的测量角度进行最优加权,进而以角度信息作为量测,估计目标的运动信息。通过试验验证,基于主被动雷达信息融合状态估计比仅依赖主动雷达观测量的状态估计稳态误差小,且滤波器收敛速度更快。

  2. Fusion Canada issue 23

    International Nuclear Information System (INIS)

    A short bulletin from the National Fusion Program highlighting in this issue TdeV tokamak updates, fusion research in Korea, CCFM program review, TdeV divertor plasma, and CFFTP program review. 4 figs

  3. Fusion Canada issue 20

    International Nuclear Information System (INIS)

    Fusion Canada's publication of the National Fusion Program. Included in this issue is the CFFTP Industrial Impact Study, CCFM/TdeV Update:helium pumping, research funds, and deuterium in beryllium - high temperature behaviour. 3 figs

  4. 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.

  5. Anatomically Plausible Surface Alignment and Reconstruction

    DEFF Research Database (Denmark)

    Paulsen, Rasmus R.; Larsen, Rasmus

    2010-01-01

    With the increasing clinical use of 3D surface scanners, there is a need for accurate and reliable algorithms that can produce anatomically plausible surfaces. In this paper, a combined method for surface alignment and reconstruction is proposed. It is based on an implicit surface representation...

  6. 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

  7. 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

  8. 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...

  9. Multispectral analytical image fusion

    International Nuclear Information System (INIS)

    With new and advanced analytical imaging methods emerging, the limits of physical analysis capabilities and furthermore of data acquisition quantities are constantly pushed, claiming high demands to the field of scientific data processing and visualisation. Physical analysis methods like Secondary Ion Mass Spectrometry (SIMS) or Auger Electron Spectroscopy (AES) and others are capable of delivering high-resolution multispectral two-dimensional and three-dimensional image data; usually this multispectral data is available in form of n separate image files with each showing one element or other singular aspect of the sample. There is high need for digital image processing methods enabling the analytical scientist, confronted with such amounts of data routinely, to get rapid insight into the composition of the sample examined, to filter the relevant data and to integrate the information of numerous separate multispectral images to get the complete picture. Sophisticated image processing methods like classification and fusion provide possible solution approaches to this challenge. Classification is a treatment by multivariate statistical means in order to extract analytical information. Image fusion on the other hand denotes a process where images obtained from various sensors or at different moments of time are combined together to provide a more complete picture of a scene or object under investigation. Both techniques are important for the task of information extraction and integration and often one technique depends on the other. Therefore overall aim of this thesis is to evaluate the possibilities of both techniques regarding the task of analytical image processing and to find solutions for the integration and condensation of multispectral analytical image data in order to facilitate the interpretation of the enormous amounts of data routinely acquired by modern physical analysis instruments. (author)

  10. Bemerkungen zur "kalten Fusion"

    OpenAIRE

    Kuehne, Rainer W.

    2006-01-01

    Steven Jones et al. reported to have observed nuclear fusion at room temperature. They observed this "cold fusion" by electrolyzing heavy water. Later experiments confirmed these observations. These experiments confirmed the generation of strong electric fields within the deuterided metals. These electric fields accelerate the deuterons to keV energies and allow the observed nuclear fusion. Roman Sioda and I suggested a theoretical description of this nuclear fusion. Our "extended micro hot f...

  11. Computerised 3-D anatomical modelling using plastinates: an example utilising the human heart.

    Science.gov (United States)

    Tunali, S; Kawamoto, K; Farrell, M L; Labrash, S; Tamura, K; Lozanoff, S

    2011-08-01

    Computerised modelling methods have become highly useful for generating electronic representations of anatomical structures. These methods rely on crosssectional tissue slices in databases such as the Visible Human Male and Female, the Visible Korean Human, and the Visible Chinese Human. However, these databases are time consuming to generate and require labour-intensive manual digitisation while the number of specimens is very limited. Plastinated anatomical material could provide a possible alternative to data collection, requiring less time to prepare and enabling the use of virtually any anatomical or pathological structure routinely obtained in a gross anatomy laboratory. The purpose of this study was to establish an approach utilising plastinated anatomical material, specifically human hearts, for the purpose computerised 3-D modelling. Human hearts were collected following gross anatomical dissection and subjected to routine plastination procedures including dehydration (-25(o)C), defatting, forced impregnation, and curing at room temperature. A graphics pipeline was established comprising data collection with a hand-held scanner, 3-D modelling, model polishing, file conversion, and final rendering. Representative models were viewed and qualitatively assessed for accuracy and detail. The results showed that the heart model provided detailed surface information necessary for gross anatomical instructional purposes. Rendering tools facilitated optional model manipulation for further structural clarification if selected by the user. The use of plastinated material for generating 3-D computerised models has distinct advantages compared to cross-sectional tissue images. PMID:21866531

  12. Cold fusion research

    International Nuclear Information System (INIS)

    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

  13. Towards cognitive image fusion

    NARCIS (Netherlands)

    Toet, A.; Hogervorst, M.A.; Nikolov, S.G.; Lewis, J.J.; Dixon, T.D.; Bull, D.R.; Canagarajah, C.N.

    2010-01-01

    The increasing availability and deployment of imaging sensors operating in multiple spectral bands has led to a large research effort in image fusion, resulting in a plethora of pixel-level image fusion algorithms. However, the cognitive aspects of multisensor image fusion have not received much att

  14. Towards cognitive image fusion

    NARCIS (Netherlands)

    Toet, A.; Hogervorst, M.A.; Nikolov, S.G.; Lewis, J.; Dixon, T.; Bull, D.; Canagarajah, N.

    2007-01-01

    The increasing availability and deployment of imaging sensors operating in multiple spectral bands has led to a large research effort in image fusion, resulting in a plethora of pixel-level image fusion algorithms. However, the cognitive aspects of multisensor image fusion have not received much att

  15. Fusion technology program

    International Nuclear Information System (INIS)

    The report summarizes work performed in the following areas: system and safety studies for fusion reactors; nuclear data for fusion reactors; neutronics calculations for fusion reactors; radiation damage of vanadium alloys and stainless steel 316; facility for in-pile crack growth measurement; niobium tin magnet for Sultan - stage II; development of NET conductor; and development of ceramic tritium breeding materials

  16. Magneto-Inertial Fusion

    International Nuclear Information System (INIS)

    In this community white paper, we describe an approach to achieving fusion which employs a hybrid of elements from the traditional magnetic and inertial fusion concepts, called magneto-inertial fusion (MIF). The status of MIF research in North America at multiple institutions is summarized including recent progress, research opportunities, and future plans

  17. Fusion Canada issue 18

    International Nuclear Information System (INIS)

    A short bulletin from the National Fusion Program. Included in this issue is a report on the ITER agreement signed with the EDA, the robotic maintenance for NET, the CFFTP Fusion Pilot Study, the new IEA joint programs on environment, safety and economic aspects of fusion power, and a review by the CCFM advisory committee. 3 figs

  18. 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。

  19. [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.

  20. A Study on the Inventory Decision-making Model for the Spare Parts Based on the Information Fusion%基于信息融合技术的备件库存控制决策模型研究

    Institute of Scientific and Technical Information of China (English)

    刘跃武

    2011-01-01

    The spare parts are a very important role of the normal production in the enterprise. Based on the analysis to the characteristics of inventory decision-making in the spare parts, this paper built an inventory control decision-making model of the spare parts based on information fusion technology, and did some research on adopting which information fusion methods and strategies to the analysis of spare parts inventory.%备件在保证企业正常生产发挥着巨大作用.本文通过对备件库存决策信息的特征进行分析的基础上,构建了基于多源信息融合技术的备件库存控制决策模型,并对采用何种信息融合方法与策略进行备件库存决策分析做了一定的研究.

  1. Magnetized target fusion and fusion propulsion.

    Energy Technology Data Exchange (ETDEWEB)

    Kirkpatrick, R. C. (Ronald C.)

    2001-01-01

    Magnetized target fusion (MTF) is a thermonuclear fusion concept that is intermediate between the two mainline approaches, magnetic confinement and inertial confinement fusion (MCF and ICF). MTF incorporates some aspects of each and offers advantages over each of the mainline approaches. First, it provides a means of reducing the driver power requirements, thereby admitting a wider range of drivers than ICF. Second, the magnetic field is only used for insulation, not confinement, and the plasma is wall confined, so that plasma instabilities are traded in for hydrodynamic instabilities. However, the degree of compression required to reach fusion conditions is lower than for ICF, so that hydrodynamic instabilities are much less threatening. The standoff driver innovation proposes to dynamically form the target plasma and a gaseous shell that compresses and confines the target plasma. Therefore, fusion target fabrication is traded in for a multiplicity of plasma guns, which must work in synchrony. The standoff driver embodiment of MTF leads to a fusion propulsion system concept that is potentially compact and lightweight. We will discuss the underlying physics of MTF and some of the details of the fusion propulsion concept using the standoff driver approach. We discuss here the optimization of an MTF target design for space propulsion.

  2. 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.

  3. Fast Radiometry Guided Fusion of Disparity Images

    Science.gov (United States)

    Schmid, Stephan; Fritsch, Dieter

    2016-06-01

    Previous work on disparity map fusion has mostly focused on geometric or statistical properties of disparity maps. Since failure of stereo algorithms is often consistent in many frames of a scene, it cannot be detected by such methods. Instead, we propose to use radiometric information from the original camera images together with externally supplied camera pose information to detect mismatches. As radiometric information is local information, the computations in the proposed algorithm for disparity fusion can be decoupled and parallelized to a very large degree, which allows us to easily achieve real-time performance.

  4. Thermal Resonance Fusion

    OpenAIRE

    Dong, Bao-Guo

    2015-01-01

    We first show a possible mechanism to create a new type of nuclear fusion, thermal resonance fusion, i.e. low energy nuclear fusion with thermal resonance of light nuclei or atoms, such as deuterium or tritium. The fusion of two light nuclei has to overcome the Coulomb barrier between these two nuclei to reach up to the interacting region of nuclear force. We found nuclear fusion could be realized with thermal vibrations of crystal lattice atoms coupling with light atoms at low energy by reso...

  5. Fusion applications study: FAME

    Energy Technology Data Exchange (ETDEWEB)

    Schultz, K.R.

    1986-01-01

    Fusion has a wide spectrum of applications that appear technically possible and may become economically feasible. Near-term (approx. 2000) application for production of nuclear fuels and useful radioisotopes is an economically attractive possibility as soon as fusion is ready. Electricity production will remain a prime, large-scale application of fusion. In the longer term, as fossil fuels dwindle, production of hydrogen could become a major application. Additional applications some of which have not even been conceived of yet, will add to this potential richness and diversity of fusion. It is the purpose of the fusion applications study - FMAE - to innovate, investigate, and evaluate these potential applications.

  6. An Achievement of Cloud Security Based on Deviation Information Fusion and Matching Method%一种基于偏离信息融合匹配的安全云实现方法

    Institute of Scientific and Technical Information of China (English)

    罗亚东

    2014-01-01

    传统云安全实现方法采用基于特征阀值验证的网络防护手段,云计算平台数据呈现海量状态,各种攻击特征很难选取固定的阀值,出现攻击特征偏离阀值的问题,对于包含重要数据的云计算平台来说,防护功效远远不够。提出了一种基于偏离信息融合匹配的安全云实现方法,采用偏离信息度作为衡量访问的标识,对不同偏离度下的信息进行补偿,最终采用归一化方式实现信息融合匹配。采用一组随机的访问数据进行安全测试实验,结果显示,采用基于偏离信息融合的方法,云安全的防护性能提高,具有很好的安全应用价值。%Traditional cloud security implementation method based on threshold authentication means of network protec-tion, cloud computing platform data show huge amounts of state, a variety of attack characteristics is difficult to select a fixed threshold, attack features deviating from the threshold of the problem, for contain important data of cloud computing platform, protective effect is far from enough. Proposed a security cloud implementation method based on deviation informa-tion fusion matching, with deviation as a measure of access to the identity of the information degree, the information under different deviation compensation, finally used to match a way to realize information fusion. Using a set of random access se-curity test experiment data, the results show that the method based on deviation information fusion, cloud security protec-tion performance is greatly improved, has great value in security applications.

  7. Semiotic foundation for multisensor-multilook fusion

    Science.gov (United States)

    Myler, Harley R.

    1998-07-01

    This paper explores the concept of an application of semiotic principles to the design of a multisensor-multilook fusion system. Semiotics is an approach to analysis that attempts to process media in a united way using qualitative methods as opposed to quantitative. The term semiotic refers to signs, or signatory data that encapsulates information. Semiotic analysis involves the extraction of signs from information sources and the subsequent processing of the signs into meaningful interpretations of the information content of the source. The multisensor fusion problem predicated on a semiotic system structure and incorporating semiotic analysis techniques is explored and the design for a multisensor system as an information fusion system is explored. Semiotic analysis opens the possibility of using non-traditional sensor sources and modalities in the fusion process, such as verbal and textual intelligence derived from human observers. Examples of how multisensor/multimodality data might be analyzed semiotically is shown and discussion on how a semiotic system for multisensor fusion could be realized is outlined. The architecture of a semiotic multisensor fusion processor that can accept situational awareness data is described, although an implementation has not as yet been constructed.

  8. 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.

  9. Viral membrane fusion

    International Nuclear Information System (INIS)

    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

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

    International Nuclear Information System (INIS)

    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

  11. 多传感器信息融合的无人车行驶策略*%Unmanned Vehicles Driving Strategy Based on Multi-sensor Information Fusion

    Institute of Scientific and Technical Information of China (English)

    张荷芳; 豆菲菲

    2015-01-01

    论文针对仿优秀驾驶员视觉注意机制的无人车行驶策略过程中的多传感器信息融合问题,提出了矩阵分析的理论对基于权值分配的D‐S证据理论进行修正。经过验证,该算法能很好地处理融合过程中运算量过大的问题,同时在一个或者多个传感器失效的情况下也能保证融合结果的准确性和判断的正确性。%In this paper ,the driver's visual attention mechanism excellent imitation of unmanned vehicles to the policy process of multi‐sensor data fusion problem ,a theoretical analysis of the matrix correction weights assigned based on DS evi‐dence theory ,after verification ,the algorithm can be very good process integration process excessive computing problems , while in the case of failure of one or more sensor fusion results can ensure the accuracy and correctness of judgment .

  12. The fusion breeder

    International Nuclear Information System (INIS)

    The fusion breeder is a fusion reactor designed with special blankets to maximize the transmutation by 14 MeV neutrons of uranium-238 to plutonium or thorium to uranium-233 for use as a fuel for fission reactors. Breeding fissile fuels has not been a goal of the U.S. fusion energy program. This paper suggests it is time for a policy change to make the fusion breeder a goal of the U.S. fusion program and the U.S. nuclear energy program. There is wide agreement that many approaches will work and will produce fuel for five equal-sized LWRs, and some approach as many as 20 LWRs at electricity costs within 20% of those at today's price of uranium ($30/lb of U3O8). The blankets designed to suppress fissioning, called symbiotes, fusion fuel factories, or just fusion breeders, will have safety characteristics more like pure fusion reactors and will support as many as 15 equal power LWRs. The blankets designed to maximize fast fission of fertile material will have safety characteristics more like fission reactors and will support 5 LWRs. This author strongly recommends development of the fission suppressed blanket type, a point of view not agreed upon by everyone. There is, however, wide agreement that, to meet the market price for uranium which would result in LWR electricity within 20% of today's cost with either blanket type, fusion components can cost severalfold more than would be allowed for pure fusion to meet the goal of making electricity alone at 20% over today's fission costs. Also widely agreed is that the critical-pathitem for the fusion breeder is fusion development itself; however, development of fusion breeder specific items (blankets, fuel cycle) should be started now in order to have the fusion breeder by the time the rise in uranium prices forces other more costly choices

  13. 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.

  14. ACCESSORY SPLEEN: A CLINICALLY RELEVANT ANATOMIC ANOMALY

    OpenAIRE

    Prachi Saffar; Amit Kumar; Ankur

    2016-01-01

    The purpose of our study is to emphasize on the clinical relevance of the presence of accessory spleen. It is not only a well-documented anatomic anomaly, it holds special significance in the differential diagnosis of intra-abdominal tumours and lymphadenopathy. MATERIALS AND METHODS Thirty male cadavers from North Indian population above the age of 60 yrs. were dissected in the Anatomy Department of FMHS, SGT University, Gurgaon, over a period of 5 yrs. (Sep 2010-Aug 2015) and presence...

  15. Microstructure and Anatomical Characteristics of Daemonorops margaritae

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Daemonorops margaritae is among the most important commercial rattan in South China. Its microstructure and basic anatomical characteristics as well as variation were investigated. Results show that: 1)The variation along the height is small, while the variation along the radial direction is significant; 2) The fibre length, fibre ratio and distribution density of the vascular bundles in the cross section decrease from cortex to core, while the fibre width, vessel element length and width, parenchyma ratio,...

  16. Pure endoscopic endonasal odontoidectomy: anatomical study

    OpenAIRE

    Messina, Andrea; Bruno, Maria Carmela; Decq, Philippe; Coste, Andre; Cavallo, Luigi Maria; de Divittis, Enrico; Cappabianca, Paolo; Tschabitscher, Manfred

    2007-01-01

    Different disorders may produce irreducible atlanto-axial dislocation with compression of the ventral spinal cord. Among the surgical approaches available for a such condition, the transoral resection of the odontoid process is the most often used. The aim of this anatomical study is to demonstrate the possibility of an anterior cervico-medullary decompression through an endoscopic endonasal approach. Three fresh cadaver heads were used. A modified endonasal endoscopic approach was made in al...

  17. Quantifying anatomical shape variations in neurological disorders.

    Science.gov (United States)

    Singh, Nikhil; Fletcher, P Thomas; Preston, J Samuel; King, Richard D; Marron, J S; Weiner, Michael W; Joshi, Sarang

    2014-04-01

    We develop a multivariate analysis of brain anatomy to identify the relevant shape deformation patterns and quantify the shape changes that explain corresponding variations in clinical neuropsychological measures. We use kernel Partial Least Squares (PLS) and formulate a regression model in the tangent space of the manifold of diffeomorphisms characterized by deformation momenta. The scalar deformation momenta completely encode the diffeomorphic changes in anatomical shape. In this model, the clinical measures are the response variables, while the anatomical variability is treated as the independent variable. To better understand the "shape-clinical response" relationship, we also control for demographic confounders, such as age, gender, and years of education in our regression model. We evaluate the proposed methodology on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database using baseline structural MR imaging data and neuropsychological evaluation test scores. We demonstrate the ability of our model to quantify the anatomical deformations in units of clinical response. Our results also demonstrate that the proposed method is generic and generates reliable shape deformations both in terms of the extracted patterns and the amount of shape changes. We found that while the hippocampus and amygdala emerge as mainly responsible for changes in test scores for global measures of dementia and memory function, they are not a determinant factor for executive function. Another critical finding was the appearance of thalamus and putamen as most important regions that relate to executive function. These resulting anatomical regions were consistent with very high confidence irrespective of the size of the population used in the study. This data-driven global analysis of brain anatomy was able to reach similar conclusions as other studies in Alzheimer's disease based on predefined ROIs, together with the identification of other new patterns of deformation. The

  18. The status of 'cold fusion'

    International Nuclear Information System (INIS)

    The questions raised by reports of nuclear reactions at low energies, so called 'cold fusion', are not yet answered to the satisfaction of many scientists. Further experimental investigations of these and related questions seems desirable, at least for scientific if not practical reasons. Properly conducted, such investigations would be indistinguishable from normal research. They would yield information germane to accepted areas of scientific inquiry and technological utility

  19. 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...

  20. 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 average for fission neutrons) releases significant amounts of 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.

  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. 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

  3. 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.

  4. Hybrid Pixel-Based Method for Cardiac Ultrasound Fusion Based on Integration of PCA and DWT

    Directory of Open Access Journals (Sweden)

    Samaneh Mazaheri

    2015-01-01

    Full Text Available Medical image fusion is the procedure of combining several images from one or multiple imaging modalities. In spite of numerous attempts in direction of automation ventricle segmentation and tracking in echocardiography, due to low quality images with missing anatomical details or speckle noises and restricted field of view, this problem is a challenging task. This paper presents a fusion method which particularly intends to increase the segment-ability of echocardiography features such as endocardial and improving the image contrast. In addition, it tries to expand the field of view, decreasing impact of noise and artifacts and enhancing the signal to noise ratio of the echo images. The proposed algorithm weights the image information regarding an integration feature between all the overlapping images, by using a combination of principal component analysis and discrete wavelet transform. For evaluation, a comparison has been done between results of some well-known techniques and the proposed method. Also, different metrics are implemented to evaluate the performance of proposed algorithm. It has been concluded that the presented pixel-based method based on the integration of PCA and DWT has the best result for the segment-ability of cardiac ultrasound images and better performance in all metrics.

  5. New approaches to the economic evaluation of fusion research

    International Nuclear Information System (INIS)

    The economic evaluation of fusion research to date has focussed on the benefits of essentially unlimited energy for future generations. In this paper it is shown that energy research in general, and fusion research in particular, also provides benefits in the short term, benefitting us today as well as future generations. Short-term benefits are the result of two distinct aspects of fusion research. First, fusion research provides information for decision making on both the continuing fusion research efforts and on other energy research programs. Second, fusion research provides an expectation of a future energy source thereby promoting accelerated consumption of existing fossil fuels today. Both short-term benefits can be quantitatively evaluated and both are quite substantial. Together, these short-term benefits form the primary economic rationale for fusion research

  6. An Update on the Status of Anatomical Sciences Education in United States Medical Schools

    Science.gov (United States)

    Drake, Richard L.; McBride, Jennifer M.; Pawlina, Wojciech

    2014-01-01

    Curricular changes continue at United States medical schools and directors of gross anatomy, microscopic anatomy, neuroscience/neuroanatomy, and embryology courses continue to adjust and modify their offerings. Developing and supplying data related to current trends in anatomical sciences education is important if informed decisions are going to…

  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. Fusion of Nonionic Vesicles

    DEFF Research Database (Denmark)

    Bulut, Sanja; Oskolkova, M. Z.; Schweins, R.;

    2010-01-01

    We present an experimental study of vesicle fusion using light and neutron scattering to monitor fusion events. Vesicles are reproducibly formed with an extrusion procedure using an single amphiphile triethylene glycol mono-n-decyl ether in water. They show long-term stability for temperatures...... around 20 C, but at temperatures above 26 C we observe an increase in the scattered intensity due to fusion. The system is unusually well suited for the study of basic mechanisms of vesicle fusion. The vesicles are flexible with a bending rigidity of only a few k(H)T. The monolayer spontaneous curvature......, Ho, depends strongly on temperature in a known way and is thus tunable. For temperatures where H-0 > 0 vesicles tyre long-term stable, while in the range H-0 fusion rate increases the more negative the Spontaneous curvature Through a quantitative;analysis of the fusion rate we arrive tit...

  9. 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.

  10. Establishment of an Institute for Fusion Studies

    Science.gov (United States)

    Hazeltine, R. D.

    1992-07-01

    The Institute for Fusion Studies is a national center for theoretical fusion plasma physics research. Its purposes are: (1) to conduct research on theoretical questions concerning the achievement of controlled fusion energy by means of magnetic confinement--including both fundamental problems of long-range significance, as well as shorter-term issues; (2) to serve as a center for information exchange, nationally and internationally, by hosting exchange visits, conferences, and workshops; (3) and to train students and postdoctoral research personnel for the fusion energy program and plasma physics research areas. The theoretical research results that are obtained by the Institute contribute mainly to the progress of national and international efforts in nuclear fusion research, whose goal is the development of fusion power as a basic energy source. In addition to its primary focus on fusion physics, the Institute is also involved with research in related fields, such as advanced computing techniques, nonlinear dynamics, plasma astrophysics, and accelerator physics. The work of EFS scientists continued to receive national and international recognition. Numerous invited papers were given during the past year at workshops, conferences, and scientific meetings. Last year IFS scientists published 95 scientific articles in technical journals and monographs.

  11. Establishment of an Institute for Fusion Studies

    Energy Technology Data Exchange (ETDEWEB)

    Hazeltine, R.D.

    1992-07-01

    The Institute for Fusion Studies is a national center for theoretical fusion plasma physics research. Its purposes are: (1) to conduct research on theoretical questions concerning the achievement of controlled fusion energy by means of magnetic confinement--including both fundamental problems of long-range significance, as well as shorter-term issues; (2) to serve as a center for information exchange, nationally and internationally, by hosting exchange visits, conferences, and workshops; (3) and to train students and postdoctoral research personnel for the fusion energy program and plasma physics research areas. The theoretical research results that are obtained by the Institute contribute mainly to the progress of national and international efforts in nuclear fusion research, whose goal is the development of fusion power.as a basic energy source. In addition to its primary focus on fusion physics, the Institute is also involved with research in related fields, such as advanced computing techniques, nonlinear dynamics, plasma astrophysics, and accelerator physics. The work of EFS scientists continued to receive national and international recognition. Numerous invited papers were given during the past year at workshops, conferences, and scientific meetings. Last year IFS scientists published 95 scientific articles in technical journals and monographs.

  12. Establishment of an Institute for Fusion Studies

    International Nuclear Information System (INIS)

    The Institute for Fusion Studies is a national center for theoretical fusion plasma physics research. Its purposes are: (1) to conduct research on theoretical questions concerning the achievement of controlled fusion energy by means of magnetic confinement--including both fundamental problems of long-range significance, as well as shorter-term issues; (2) to serve as a center for information exchange, nationally and internationally, by hosting exchange visits, conferences, and workshops; (3) and to train students and postdoctoral research personnel for the fusion energy program and plasma physics research areas. The theoretical research results that are obtained by the Institute contribute mainly to the progress of national and international efforts in nuclear fusion research, whose goal is the development of fusion power.as a basic energy source. In addition to its primary focus on fusion physics, the Institute is also involved with research in related fields, such as advanced computing techniques, nonlinear dynamics, plasma astrophysics, and accelerator physics. The work of EFS scientists continued to receive national and international recognition. Numerous invited papers were given during the past year at workshops, conferences, and scientific meetings. Last year IFS scientists published 95 scientific articles in technical journals and monographs

  13. 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.

  14. 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

  15. 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.

  16. Status of fusion maintenance

    International Nuclear Information System (INIS)

    Effective maintenance will be an essential ingredient in determining fusion system productivity. This level of productivity will result only after close attention is paid to the entire system as an entity and appropriate integration of the elements is made. The status of fusion maintenance is reviewed in the context of the entire system. While there are many challenging developmental tasks ahead in fusion maintenance, the required technologies are available in several high-technology industries, including nuclear fission

  17. Filter Bank Fusion frames

    OpenAIRE

    Chebira, Amina; Fickus, Matthew; Mixon, Dustin G.

    2011-01-01

    In this paper we characterize and construct novel oversampled filter banks implementing fusion frames. A fusion frame is a sequence of orthogonal projection operators whose sum can be inverted in a numerically stable way. When properly designed, fusion frames can provide redundant encodings of signals which are optimally robust against certain types of noise and erasures. However, up to this point, few implementable constructions of such frames were known; we show how to construct them using ...

  18. Fusion facility siting considerations

    International Nuclear Information System (INIS)

    Inherent in the fusion program's transition from hydrogen devices to commercial power machines is a general increase in the size and scope of succeeding projects. This growth will lead to increased emphasis on safety, environmental impact, and the external effects of fusion in general, and of each new device in particular. A critically important consideration in this regard is site selection. The purpose of this paper is to examine major siting issues that may affect the economics, safety, and environmental impact of fusion

  19. Fusion facility siting considerations

    Science.gov (United States)

    Bussell, G. T.

    1985-02-01

    Inherent in the fusion program's transition from hydrogen devices to commercial power machines is a general increase in the size and scope of succeeding projects. This growth will lead to increased emphasis on safety, environmental impact, and the external effects of fusion in general, and of each new device in particular. An important consideration in this regard is site selection. Major siting issues that may affect the economics, safety, and environmental impact of fusion are examined.

  20. 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.

  1. 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, *

  2. Fusion reactor safety

    International Nuclear Information System (INIS)

    Nuclear fusion could soon become a viable energy source. Work in plasma physics, fusion technology and fusion safety is progressing rapidly in a number of Member States and international collaboration continues on work aiming at the demonstration of fusion power generation. Safety of fusion reactors and technological and radiological aspects of waste management are important aspects in the development and design of fusion machines. In order to provide an international forum to review and discuss the status and the progress made since 1983 in programmes related to operational safety aspects of fusion reactors, their waste management and decommissioning concepts, the IAEA had organized the Technical Committee on ''Fusion Reactor Safety'' in Culham, 3-7 November 1986. All presentations of this meeting were divided into four sessions: 1. Statements on National-International Fusion Safety Programmes (5 papers); 2. Operation and System Safety (15 papers); 3. Waste Management and Decommissioning (5 papers); 4. Environmental Impacts (6 papers). A separate abstract was prepared for each of these 31 papers. Refs, figs, tabs

  3. 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.

  4. Laser fusion program overview

    International Nuclear Information System (INIS)

    This program is structured to proceed through a series of well defined fusion milestones to proof of the scientific feasibility, of laser fusion with the Shiva Nova system. Concurrently, those key technical areas, such as advanced lasers, which are required to progress beyond proof of feasibility, are being studied. We have identified and quantified the opportunities and key technical issues in military applications, such as weapons effects simulations, and in civilian applications, such as central-station electric power production. We summarize the current status and future plans for the laser fusion program at LLL, emphasizing the civilian applications of laser fusion

  5. 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

  6. 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.

  7. 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.

  8. [Sigismund Laskowski and his anatomical preparations technique].

    Science.gov (United States)

    Gryglewski, Ryszard W

    2015-01-01

    Fixation of the entire bodies or individual organs, and later as well tissues and cellular structures, was and still is often a challenge for anatomists and histologists. Technique that combines extensive knowledge of natural sciences, as well as technical skills, was by those best researchers as Frederik Ruysch, brought to perfection. Preparations, if done with care and talent, are really propelling progress in anatomical studies and determining the quality of education for medical students and young physicians. And as it is true for many of today's medical disciplines and natural sciences, the nineteenth century was in many ways a breaking point for preparatory techniques in the realm of anatomy and histology. Among those who have achieved success, earning notoriety during their lifetime and often going into the annals of European most distinguished scholars were some Polish names: Louis Maurice Hirschfeld, whose preparations of the nervous system earned him well-deserved, international fame, Louis Charles Teichmann, who was the very first so precisely describing the lymphatic system and a creator of unique injection mass, Henry Kadyi, known for his outstanding preparations, especially of vascular system. Henry Frederick Hoyer sen., who was one of the first to use formalin regularly for accurate microscopic preparations, is seen by many as the founder of the Polish histology. In this group of innovators and precursors of modern preparation techniques place should be reserved for Zygmunt (Sigismund) Laskowski, Polish patriot, fighting in January Uprising, later an immigrant, a professor at the university sequentially Paris and Geneva. Acclaimed author of anatomical tables and certainly creator of one of the groundbreaking techniques in anatomical preparations. Based after many years of research on the simple glycerine-phenol mixture achieved excellent results both in fixation of entire bodies and organs or tissues. Quality of those preparations was as high and

  9. Membrane fusion machines of paramyxoviruses: capture of intermediates of fusion

    OpenAIRE

    Charles J Russell; Theodore S Jardetzky; Lamb, Robert A.

    2001-01-01

    Peptides derived from heptad repeat regions adjacent to the fusion peptide and transmembrane domains of many viral fusion proteins form stable helical bundles and inhibit fusion specifically. Paramyxovirus SV5 fusion (F) protein-mediated fusion and its inhibition by the peptides N-1 and C-1 were analyzed. The temperature dependence of fusion by F suggests that thermal energy, destabilizing proline residues and receptor binding by the hemagglutinin–neuraminidase (HN) protein collectively contr...

  10. A visual analytic framework for data fusion in investigative intelligence

    Science.gov (United States)

    Cai, Guoray; Gross, Geoff; Llinas, James; Hall, David

    2014-05-01

    Intelligence analysis depends on data fusion systems to provide capabilities of detecting and tracking important objects, events, and their relationships in connection to an analytical situation. However, automated data fusion technologies are not mature enough to offer reliable and trustworthy information for situation awareness. Given the trend of increasing sophistication of data fusion algorithms and loss of transparency in data fusion process, analysts are left out of the data fusion process cycle with little to no control and confidence on the data fusion outcome. Following the recent rethinking of data fusion as human-centered process, this paper proposes a conceptual framework towards developing alternative data fusion architecture. This idea is inspired by the recent advances in our understanding of human cognitive systems, the science of visual analytics, and the latest thinking about human-centered data fusion. Our conceptual framework is supported by an analysis of the limitation of existing fully automated data fusion systems where the effectiveness of important algorithmic decisions depend on the availability of expert knowledge or the knowledge of the analyst's mental state in an investigation. The success of this effort will result in next generation data fusion systems that can be better trusted while maintaining high throughput.

  11. Fire hazard analysis for fusion energy experiments

    International Nuclear Information System (INIS)

    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

  12. 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.

  13. Tennis elbow. Anatomical, epidemiological and therapeutic aspects.

    Science.gov (United States)

    Verhaar, J A

    1994-10-01

    Five studies of tennis elbow are presented. Epidemiological studies showed an incidence of tennis elbow between 1 and 2%. The prevalence of tennis elbow in women between 40 and 50 years of age was 10%. Half of the patients with tennis elbow seek medical attention. Local corticosteroid injections were superior to the physiotherapy regime of Cyriax. Release of the common forearm extensor origin resulted in 70% excellent or good results one year after operation and 89% at five years. Anatomical investigations and nerve conduction studies of the Radial Tunnel Syndrome supported the hypothesis that the Lateral Cubital Force Transmission System is involved in the pathogenesis of tennis elbow.

  14. Constitutional and Anatomical Characteristics of Mature Women

    Institute of Scientific and Technical Information of China (English)

    Vladimir NNikolenko; DmitryBNikityuk; SvetlanaVKlochkova; AnastasiaABahmet

    2015-01-01

    Objective To identify the constitutional and anatomical peculiarities of constitution of women of mature age.Methods There was completed comprehensive anthropometric and bio-electrical survey of 651 mature women ( relative norm) living in the Moscow region .Results The quantitative distribution of women by somatotypological affiliation was revealed;anthropometric and body component composition in representatives of different somatotypes were defined .Conclusion Thus, the performed study revealed and quantiely character-ised the distribution of women according to their constitutional types in the studied population of mature age women living in Moscow region under the relative norm conditions .

  15. An Improved Auxiliary Particle Filter Algorithm for Information Fusion in Multi-Agent System%改进的辅助粒子多Agent系统信息融合滤波算法

    Institute of Scientific and Technical Information of China (English)

    朱波; 陈贞翔

    2012-01-01

    In order to overcome the nonlinear problem and improve the collaborative capabilities in the multi-agent system, this paper proposes an improved auxiliary particle information fusion filter algorithm. The architecture of multi-agent system is analyzed, then the signal of agent is decomposed and reconstructed based on orthogonal wavelet multi-scale analysis theory, so the improved auxiliary particle information fusion filter algorithm is proposed based on the signal of agent, which can be taken as the important sampling density function,after that,the features are integrated into multi-agent system's features. Finally,this algorithm is applied to the maneuvering target tracking through computer simulation and compared with conventional algorithms,and simulation results verify its effectiveness.%为克服多Agent系统的非线性问题,提高多Agent系统对信息的协同合作能力,提出一种改进的辅助粒子信息融合滤波算法.该算法通过分析多Agent系统的结构,根据正交小波多尺度分析理论对系统内Agent的信息进行分解、重构,给出以Agent信息为重要采样密度函数的辅助粒子滤波算法,并对滤波结果进行特征融合,得到多Agent系统融合特征.将此算法应用到机动目标跟踪领域,并与传统的滤波算法进行对比,仿真结果验证了该算法的有效性.

  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. Research on Grid Transformation Model of Statistical Data Based on Multi-source Information Fusion%基于多源数据融合的统计数据空间网格化模型研究

    Institute of Scientific and Technical Information of China (English)

    卢克; 吴建玉

    2011-01-01

    In china, administration space units are used as statistical areas by current official statistics survey, which need griddling based on the GIS because of its limits in integrated application of multi-source statistical data. The grid transformation model is introduced in the paper in view of multi-sources information fusion, confirming the factors that would impact the distribution of statistics index. The influential weight of relative factors on space units is evaluated and overlaid, in order to adjust the covariance index. It is found by experiments that the model ensures more scientific space distribution in grid transformation based on the multi-source information fusion of remote sensing, terrain, ecology, etc.%统计数据调查多以行政单元为空间范围,为解决其在多源数据综合应用分析等方面的空间范围局限性,需对其进行网格化转换.提出一种基于多源数据融合的通用模型,先确定影响统计指标分布的因子,然后对单元格进行各因子的影响权重计算,将各因子的权重值叠加,最后通过单元格上的权重值和去调整统计指标值的分布.实验表明,该模型在基于遥感、地形、生态等数据融合基础上,能使网格结果在空间分配上更科学化.

  18. Fuzzy Information Fusion Target Recognition Based on Weighted Evidence Theory%基于加权证据理论的模糊信息融合目标识别

    Institute of Scientific and Technical Information of China (English)

    刘兵; 李辉; 邢钢

    2012-01-01

    在异类多传感器信息融合目标识别中,不同传感器对系统提供的证据等级不同.为此,提出一种模糊信息融合目标识别方法.将各证据按证据权进行转化,用Dempster-Shafer(D-S)证据理论进行合成,利用模糊数学模型对传感器测量值和数据库中的数据进行建模,根据证据距离得到各证据的相互支持度,进而获得传感器对系统提供信息量的权重.分析结果表明,该方法具有较高的精度和可靠性.%Different sensors provide different evidence importance in a target recognizing system with heterogeneous multi-sensor data fusion method. This paper proposes a fuzzy information fusion target recognition method. The evidences are transformed according to their weights before fused together using the Dempster-Shafer(O-S) evidence theory. The sensor measurements and data in the database are simulated by using the fuzzy mathematical model, and the mutual support degree among evidences is obtained from the evidence distances in order that the information weight of the evidence to the system is obtained. Analysis results show that this method has higher accuracy and reliability.

  19. Evidence fusion procedure based on hybrid DSm model

    Institute of Scientific and Technical Information of China (English)

    Hongfei Li; Hongbin Jin; Kangsheng Tian

    2014-01-01

    Dezert-Smarandache (DSm) theory, a new informa-tion fusion theory, is widely applied in image processing, multiple targets tracking identification, and other areas for its excel ent pro-cessing ability of imperfect information. However, earlier research on DSm theory mainly focused on one sort of questions. An ev-idence fusion procedure is proposed based on the hybrid DSm model to compensate for a lack of research on the entire informa-tion procedure of DSm theory. This paper analyzes the evidence fusion procedure, as wel as correlative node input and output in-formation. Key steps and detailed procedures of evidence fusion are also discussed. Final y, an experiment il ustrates the efficiency of the proposed evidence fusion procedure.

  20. 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.

  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. 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.

  3. Recent Developments in Cold Fusion / Condensed Matter Nuclear Science

    Science.gov (United States)

    Krivit, Steven B.

    2006-03-01

    Krivit is recognized internationally as an expert on the subject matter of cold fusion / condensed matter nuclear science. He is the editor of New Energy Times, the leading source of information for the field of cold fusion. He is the author of the 2005 book, The Rebirth of Cold Fusion and founder of New Energy Institute, an independent nonprofit public benefit corporation dedicated to accelerating the progress of new, sustainable and environmentally friendly energy sources.

  4. 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.

  5. Algorithms to automatically quantify the geometric similarity of anatomical surfaces

    CERN Document Server

    Boyer, D; Clair, E St; Puente, J; Funkhouser, T; Patel, B; Jernvall, J; Daubechies, I

    2011-01-01

    We describe new approaches for distances between pairs of 2-dimensional surfaces (embedded in 3-dimensional space) that use local structures and global information contained in inter-structure geometric relationships. We present algorithms to automatically determine these distances as well as geometric correspondences. This is motivated by the aspiration of students of natural science to understand the continuity of form that unites the diversity of life. At present, scientists using physical traits to study evolutionary relationships among living and extinct animals analyze data extracted from carefully defined anatomical correspondence points (landmarks). Identifying and recording these landmarks is time consuming and can be done accurately only by trained morphologists. This renders these studies inaccessible to non-morphologists, and causes phenomics to lag behind genomics in elucidating evolutionary patterns. Unlike other algorithms presented for morphological correspondences our approach does not requir...

  6. Fusion and quality analysis for remote sensing images using contourlet transform

    Science.gov (United States)

    Choi, Yoonsuk; Sharifahmadian, Ershad; Latifi, Shahram

    2013-05-01

    Recent developments in remote sensing technologies have provided various images with high spatial and spectral resolutions. However, multispectral images have low spatial resolution and panchromatic images have low spectral resolution. Therefore, image fusion techniques are necessary to improve the spatial resolution of spectral images by injecting spatial details of high-resolution panchromatic images. The objective of image fusion is to provide useful information by improving the spatial resolution and the spectral information of the original images. The fusion results can be utilized in various applications, such as military, medical imaging, and remote sensing. This paper addresses two issues in image fusion: i) image fusion method and ii) quality analysis of fusion results. First, a new contourlet-based image fusion method is presented, which is an improvement over the wavelet-based fusion. This fusion method is then applied to a case study to demonstrate its fusion performance. Fusion framework and scheme used in the study are discussed in detail. Second, quality analysis for the fusion results is discussed. We employed various quality metrics in order to analyze the fusion results both spatially and spectrally. Our results indicate that the proposed contourlet-based fusion method performs better than the conventional wavelet-based fusion methods.

  7. Variation in stem anatomical characteristics of Campanuloideae species in relation to evolutionary history and ecological preferences.

    Directory of Open Access Journals (Sweden)

    Fritz Hans Schweingruber

    Full Text Available BACKGROUND: The detailed knowledge of plant anatomical characters and their variation among closely related taxa is key to understanding their evolution and function. We examined anatomical variation in 46 herbaceous taxa from the subfamily Campanuloideae (Campanulaceae to link this information with their phylogeny, ecology and comparative material of 56 woody tropical taxa from the subfamily Lobelioideae. The species studied covered major environmental gradients from Mediterranean to Arctic zones, allowing us to test hypotheses on the evolution of anatomical structure in relation to plant competitive ability and ecological preferences. METHODOLOGY/PRINCIPAL FINDINGS: To understand the evolution of anatomical diversity, we reconstructed the phylogeny of studied species from nucleotide sequences and examined the distribution of anatomical characters on the resulting phylogenetic tree. Redundancy analysis, with phylogenetic corrections, was used to separate the evolutionary inertia from the adaptation to the environment. A large anatomical diversity exists within the Campanuloideae. Traits connected with the quality of fibres were the most congruent with phylogeny, and the Rapunculus 2 ("phyteumoid" clade was especially distinguished by a number of characters (absence of fibres, pervasive parenchyma, type of rays from two other clades (Campanula s. str. and Rapunculus 1 characterized by the dominance of fibres and the absence of parenchyma. Septate fibres are an exclusive trait in the Lobelioideae, separating it clearly from the Campanuloideae where annual rings, pervasive parenchyma and crystals in the phellem are characteristic features. CONCLUSIONS/SIGNIFICANCE: Despite clear phylogenetic inertia in the anatomical features studied, the ecological attributes and plant height had a significant effect on anatomical divergence. From all three evolutionary clades, the taller species converged towards similar anatomical structure, characterized by a

  8. 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

  9. Fusion product spectra

    International Nuclear Information System (INIS)

    Accurate fusion product data is required for most fusion plasma simulations. The energy broadening of reaction products is demonstrated to be more complicated than the usual Gaussian broadening. The accurate integrals are performed to obtain , , and for all binary reactions in the four- and five-nucleon systems. Reaction cross sections were developed using R-Matrix models that include most recent measurements

  10. 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.

  11. Fusion reactor materials

    International Nuclear Information System (INIS)

    At the Belgian Nuclear Research Centre SCK-CEN, activities related to fusion focus on environmental tolerance of opto-electronic components. The objective of this program is to contribute to the knowledge on the behaviour, during and after neutron irradiation, of fusion-reactor materials and components. The main scientific activities for 1997 are summarized

  12. Nuclear fusion in Jupiter

    International Nuclear Information System (INIS)

    We study nuclear fusion occurring according to conventional wisdom in the planet Jupiter. In particular, we consider if in a standard evolutionary model of Jupiter a significant part of Jupiter's luminosity has been due to nuclear fusion at any time during its evolution. Nuclear rate equations in dense matter allowing for screening and pressure effects have been integrated in time

  13. FUSION03, Concluding Remarks

    OpenAIRE

    Balantekin, A. B.

    2004-01-01

    Fusion reactions below the Coulomb barrier provide new insights into multidimensional quantum tunneling, nuclear reaction dynamics and nuclear structure. These reactions are also of considerable interest to nuclear astrophysics. In this summary recent developments in the field are reviewed and open questions related to subbarrier fusion are presented.

  14. Two Horizons of Fusion

    Science.gov (United States)

    Lo, Mun Ling; Chik, Pakey Pui Man

    2016-01-01

    In this paper, we aim to differentiate the internal and external horizons of "fusion." "Fusion" in the internal horizon relates to the structure and meaning of the object of learning as experienced by the learner. It clarifies the interrelationships among an object's critical features and aspects. It also illuminates the…

  15. Thermal Resonance Fusion

    CERN Document Server

    Dong, Bao-Guo

    2015-01-01

    We first show a possible mechanism to create a new type of nuclear fusion, thermal resonance fusion, i.e. low energy nuclear fusion with thermal resonance of light nuclei or atoms, such as deuterium or tritium. The fusion of two light nuclei has to overcome the Coulomb barrier between these two nuclei to reach up to the interacting region of nuclear force. We found nuclear fusion could be realized with thermal vibrations of crystal lattice atoms coupling with light atoms at low energy by resonance to overcome this Coulomb barrier. Thermal resonances combining with tunnel effects can greatly enhance the probability of the deuterium fusion to the detectable level. Our low energy nuclear fusion mechanism research - thermal resonance fusion mechanism results demonstrate how these light nuclei or atoms, such as deuterium, can be fused in the crystal of metal, such as Ni or alloy, with synthetic thermal vibrations and resonances at different modes and energies experimentally. The probability of tunnel effect at dif...

  16. Magnetic fusion theory effort

    International Nuclear Information System (INIS)

    The present publication is a comprehensive listing of the magnetic fusion theory effort. It updates the last publication, ERDA 77-18, and gives data on the FY 1977 and FY 1978 budgets. There is a section devoted to the National Magnetic Fusion Computer Center

  17. 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.

  18. Fusion Power Deployment

    International Nuclear Information System (INIS)

    Fusion power plants could be part of a future portfolio of non-carbon dioxide producing energy supplies such as wind, solar, biomass, advanced fission power, and fossil energy with carbon dioxide sequestration. In this paper, we discuss key issues that could impact fusion energy deployment during the last half of this century. These include geographic issues such as resource availability, scale issues, energy storage requirements, and waste issues. The resource needs and waste production associated with fusion deployment in the U.S. should not pose serious problems. One important feature of fusion power is the fact that a fusion power plant should be locatable within most local or regional electrical distribution systems. For this reason, fusion power plants should not increase the burden of long distance power transmission to our distribution system. In contrast to fusion power, regional factors could play an important role in the deployment of renewable resources such as wind, solar and biomass or fossil energy with CO2 sequestration. We examine the role of these regional factors and their implications for fusion power deployment

  19. Fusion Canada issue 22

    International Nuclear Information System (INIS)

    A short bulletin from the National Fusion Program highlighting in this issue a bi-lateral meeting between Canada and Japan, water and hydrogen detritiation, in-situ tokamak surface analysis, an update of CCFM/TdeV and tritium accounting Industry guidance in Fusion, fast probe for plasma-surface interaction. 4 figs

  20. Magnetic Fusion Program Plan

    International Nuclear Information System (INIS)

    This Plan reflects the present conditions of the energy situation and is consistent with national priorities for the support of basic and applied research. It is realistic in taking advantage of the technical position that the United States has already established in fusion research to make cost-effective progress toward the development of fusion power as a future energy option

  1. Tight p-fusion frames

    OpenAIRE

    Bachoc, Christine; Ehler, Martin

    2012-01-01

    Fusion frames enable signal decompositions into weighted linear subspace components. For positive integers p, we introduce p-fusion frames, a sharpening of the notion of fusion frames. Tight p-fusion frames are closely related to the classical notions of designs and cubature formulas in Grassmann spaces and are analyzed with methods from harmonic analysis in the Grassmannians. We define the p-fusion frame potential, derive bounds for its value, and discuss the connections to tight p-fusion fr...

  2. 大数据环境下基于信息融合的网络风险评估模型%Network Risk Assessment Model Based on Big Data Environment Information Fusion

    Institute of Scientific and Technical Information of China (English)

    胡萍

    2015-01-01

    Big data environment has the characteristics of multiple source network risk assessment, result in the traditional network risk assessment model based on neural network, after the agency failed to multivariate data classification to realize the network risk assessment, put forward a kind of big data environment based on information fusion network risk assessment model, the test results summary after obtaining comprehensive attack probability, selects the optimization method of D-S evidence theory to the mass function value of the testing equipment related to the synthesis and complete the data source integration, and then find out the attack support probability, calculated on the basis of situational factors fusion each host node network risk situation, through the situational factors integration and network risk situation of the host node, and then based on the security situation of every host node, it is concluded that the weight of each node fusion for network risk value, using the data fusion is, situational factors and access to the network node state fusion risk value, on the basis of the analysis of network risk assessment model. The simulation experimental results show that the proposed method has high precision.%大数据环境下网络风险评估具有多数据源的特点,导致传统的基于神经网络的网络风险评估模型,由于未对多元数据分类而无法实现网络风险评估,提出一种基于信息融合的大数据环境下网络风险评估模型,将检测结果汇总后获取综合攻击发生概率,选用优化的D-S证据理论方法对相关检测设备的mass函数值进行合成并完成数据源的融合,然后求出攻击发生支持概率,依据态势要素融合求出每个主机节点的网络风险态势,通过态势要素融合求出主机节点的网络风险态势,再根据每个主机节点的安全态势得出每个节点权重的融合,获取网络风险态势值,利用数据源融合、态

  3. Auxiliary anatomical labels for joint segmentation and atlas registration

    Science.gov (United States)

    Gass, Tobias; Szekely, Gabor; Goksel, Orcun

    2014-03-01

    This paper studies improving joint segmentation and registration by introducing auxiliary labels for anatomy that has similar appearance to the target anatomy while not being part of that target. Such auxiliary labels help avoid false positive labelling of non-target anatomy by resolving ambiguity. A known registration of a segmented atlas can help identify where a target segmentation should lie. Conversely, segmentations of anatomy in two images can help them be better registered. Joint segmentation and registration is then a method that can leverage information from both registration and segmentation to help one another. It has received increasing attention recently in the literature. Often, merely a single organ of interest is labelled in the atlas. In the presense of other anatomical structures with similar appearance, this leads to ambiguity in intensity based segmentation; for example, when segmenting individual bones in CT images where other bones share the same intensity profile. To alleviate this problem, we introduce automatic generation of additional labels in atlas segmentations, by marking similar-appearance non-target anatomy with an auxiliary label. Information from the auxiliary-labeled atlas segmentation is then incorporated by using a novel coherence potential, which penalizes differences between the deformed atlas segmentation and the target segmentation estimate. We validated this on a joint segmentation-registration approach that iteratively alternates between registering an atlas and segmenting the target image to find a final anatomical segmentation. The results show that automatic auxiliary labelling outperforms the same approach using a single label atlasses, for both mandibular bone segmentation in 3D-CT and corpus callosum segmentation in 2D-MRI.

  4. 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.

  5. Some fusion perspectives

    International Nuclear Information System (INIS)

    Some of the concepts of nuclear fusion reactions, advanced fusion fuels, environmental impacts, etc., are explored using the following general outline: I. Principles of Fusion (Nuclear Fuels and Reactions, Lawson Condition, n tau vs T, Nuclear Burn Characteristics); II. Magnetic Mirror Possibilities (the Ion Layer and Electron Layer, Exponential Build-up at MeV energies, Lorentz trapping at GeV energies); III. Pellet Fuel Fusion Prospects (Advanced Pellet Fuel Fusion Prospects, Burn Characteristics and Applications, Excitation-heating Prospects for Runaway Ion Temperatures). Inasmuch as the outline is very skeletal, a significant research and development effort may be in order to evaluate these prospects in more detail and hopefully ''harness the H-bomb'' for peaceful applications, the author concludes. 28 references

  6. Filter Bank Fusion Frames

    CERN Document Server

    Chebira, Amina; Mixon, Dustin G

    2010-01-01

    In this paper we characterize and construct novel oversampled filter banks implementing fusion frames. A fusion frame is a sequence of orthogonal projection operators whose sum can be inverted in a numerically stable way. When properly designed, fusion frames can provide redundant encodings of signals which are optimally robust against certain types of noise and erasures. However, up to this point, few implementable constructions of such frames were known; we show how to construct them using oversampled filter banks. In this work, we first provide polyphase domain characterizations of filter bank fusion frames. We then use these characterizations to construct filter bank fusion frame versions of discrete wavelet and Gabor transforms, emphasizing those specific finite impulse response filters whose frequency responses are well-behaved.

  7. 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.

  8. ViralFusionSeq: accurately discover viral integration events and reconstruct fusion transcripts at single-base resolution

    OpenAIRE

    Li, Jing-Woei; Wan, Raymond; Yu, Chi-Shing; CO, Ngai Na; Wong, Nathalie; Chan, Ting-Fung

    2013-01-01

    Summary: Insertional mutagenesis from virus infection is an important pathogenic risk for the development of cancer. Despite the advent of high-throughput sequencing, discovery of viral integration sites and expressed viral fusion events are still limited. Here, we present ViralFusionSeq (VFS), which combines soft-clipping information, read-pair analysis and targeted de novo assembly to discover and annotate viral–human fusions. VFS was used in an RNA-Seq experiment, simulated DNA-Seq experim...

  9. Industry's role in inertial fusion

    International Nuclear Information System (INIS)

    This paper is an address to the Tenth Symposium on Fusion Engineering. The speaker first addressed the subject of industry's role in inertial fusion three years earlier in 1980, outlining programs that included participation in the Shiva construction project, and the industrial participants' program set up in the laser fusion program to bring industrial scientists and engineers into the laboratory to work on laser fusion. The speaker is now the president of KMS Fusion, Inc., the primary industrial participant in the inertial fusion program. The outlook for fusion energy and the attitude of the federal government toward the fusion program is discussed

  10. 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.

  11. 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.

  12. An anatomically driven anisotropic diffusion filtering method for 3D SPECT reconstruction

    International Nuclear Information System (INIS)

    In this study, we aim to reconstruct single-photon emission computed tomography images using anatomical information from magnetic resonance imaging as a priori knowledge about the activity distribution. The trade-off between anatomical and emission data is one of the main concerns for such studies. In this work, we propose an anatomically driven anisotropic diffusion filter (ADADF) as a penalized maximum likelihood expectation maximization optimization framework. The ADADF method has improved edge-preserving denoising characteristics compared to other smoothing penalty terms based on quadratic and non-quadratic functions. The proposed method has an important ability to retain information which is absent in the anatomy. To make our approach more stable to the noise-edge classification problem, robust statistics have been employed. Comparison of the ADADF method is performed with a successful anatomically driven technique, namely, the Bowsher prior (BP). Quantitative assessment using simulated and clinical neuroreceptor volumetric data show the advantage of the ADADF over the BP. For the modelled data, the overall image resolution, the contrast, the signal-to-noise ratio and the ability to preserve important features in the data are all improved by using the proposed method. For clinical data, the contrast in the region of interest is significantly improved using the ADADF compared to the BP, while successfully eliminating noise. (paper)

  13. Automated anatomical description of pleural thickening towards improvement of its computer-assisted diagnosis

    Science.gov (United States)

    Chaisaowong, Kraisorn; Jiang, Mingze; Faltin, Peter; Merhof, Dorit; Eisenhawer, Christian; Gube, Monika; Kraus, Thomas

    2016-03-01

    Pleural thickenings are caused by asbestos exposure and may evolve into malignant pleural mesothelioma. An early diagnosis plays a key role towards an early treatment and an increased survival rate. Today, pleural thickenings are detected by visual inspection of CT data, which is time-consuming and underlies the physician's subjective judgment. A computer-assisted diagnosis system to automatically assess pleural thickenings has been developed, which includes not only a quantitative assessment with respect to size and location, but also enhances this information with an anatomical description, i.e. lung side (left, right), part of pleura (pars costalis, mediastinalis, diaphragmatica, spinalis), as well as vertical (upper, middle, lower) and horizontal (ventral, dorsal) position. For this purpose, a 3D anatomical model of the lung surface has been manually constructed as a 3D atlas. Three registration sub-steps including rigid, affine, and nonrigid registration align the input patient lung to the 3D anatomical atlas model of the lung surface. Finally, each detected pleural thickening is assigned a set of labels describing its anatomical properties. Through this added information, an enhancement to the existing computer-assisted diagnosis system is presented in order to assure a higher precision and reproducible assessment of pleural thickenings, aiming at the diagnosis of the pleural mesothelioma in its early stage.

  14. 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.

  15. Uncertain information fusion method based on proof theory and fuzzy distance%证据理论与模糊距离不确定性信息融合方法

    Institute of Scientific and Technical Information of China (English)

    田卫东; 张建良

    2011-01-01

    For the problem of expert uncertainty view is hard to fuse in decision support system,this paper proposes a compromise based on evidence theory and fuzzy distance ideas to decision fusion.Apply fuzzy distance method to obtain the expert weight and property index relative weight.The uncertain problem of the subjective views of expert decision-making is studied.And then use DS evidence theory recognition framework to calculate the probability distribution function, sort and select all programs,to obtain the final decision fusion view.Examples show that the method is reasonable and efficient for integration of decision-making uncertain information.%针对决策支持系统中专家不确定性意见难以融合的问题.提出了一种基于证据理论和模糊距离相结合的决策融合方法.运用模糊距离方法来获得专家的权重和属性指标的相对权重,对专家决策中由于主观认识的局限性带来的不确定性问题进行了研究.运用DS证据理论识别框架计算出概率分配函数,对所有方案进行排序选择,得出最终的决策融合意见.通过实验表明,运用此方法对不确定性信息的融合具有很好的可行性和有效性.

  16. 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。

  17. 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.

  18. 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.

  19. Fusion research in Hungary

    International Nuclear Information System (INIS)

    Hungarian fusion research started in the 1970s, when the idea of installing a small tokamak experiment emerged. In return to computer equipment a soviet tokamak was indeed sent to Hungary and started to operate as MT-1 at the Central Research Institute for Physics (KFKI) in 1979. Major research topics included diagnostic development, edge plasma studies and investigation of disruptions. Following a major upgrade in 1992 (new vacuum vessel, active position control and PC network based data acquisition system) the MT-1M tokamak was used for the study of transport processes with trace impurity injection, micropellet ablation studies, X-ray tomography and laser blow-off diagnostic development. Although funding ceased in the middle of the 90's the group was held alive by collaborations with EU fusion labs: FZ -Juelich, IPP-Garching and CRPP-EPFL Lausanne. In 1998 the machine was dismantled due to reorganization of the Hungarian Academy of Sciences. New horizons opened to fusion research from 1999, when Hungary joined EURATOM and a fusion Association was formed. Since then fusion physics studies are done in collaboration with major EU fusion laboratories, Hungarian researchers also play an active role in JET diagnostics upgrade and ITER design. Major topics are pellet ablation studies, plasma turbulence diagnosis using Beam Emission Spectroscopy and other techniques, tomography and plasma diagnostics using various neutral beams. In fusion relevant technology R and D Hungary has less records. Before joining EURATOM some materials irradiation studies were done at the Budapest Research Reactor at KFKI-AEKI. The present day fusion technology programme focuses still on irradiation studies, nuclear material database and electromagnetic testing techniques. Increasing the fusion technology research activities is a difficult task, as the competition in Hungarian industry is very strong and the interest of organizations in long-term investments into R and D is rather weak and

  20. Anatomic correlations in radiogallium imaging of the peritoneum and retroperitoneum

    International Nuclear Information System (INIS)

    Radiogallium (67Ga) imaging of the abdomen and pelvis has been useful not only in detecting inflammations in these regions, but in pointing out their precise anatomic localization. Once the anatomic site is determined, it is often possible to infer the source of origin of the problem (such as ruptured viscus or pancreatitis). Interpretation of the images depends on recognition of patterns that define known anatomic boundaries such as the transverse mesocolon, root of the small mesentery, perirenal space, and pararenal space, or else show diffuse peritoneal uptake. The anatomic patterns may have continued usefulness in future studies, such as when radiolabeled leukocytes are employed to localize inflammations

  1. Do retractile testes have anatomical anomalies?

    Science.gov (United States)

    Anderson, Kleber M.; Costa, Suelen F.; Sampaio, Francisco J.B.; Favorito, Luciano A.

    2016-01-01

    ABSTRACT Objectives: To assess the incidence of anatomical anomalies in patients with retractile testis. Materials and Methods: We studied prospectively 20 patients (28 testes) with truly retractile testis and compared them with 25 human fetuses (50 testes) with testis in scrotal position. We analyzed the relations among the testis, epididymis and patency of the processus vaginalis (PV). To analyze the relations between the testis and epididymis, we used a previous classification according to epididymis attachment to the testis and the presence of epididymis atresia. To analyze the structure of the PV, we considered two situations: obliteration of the PV and patency of the PV. We used the Chi-square test for contingency analysis of the populations under study (p patent processus vaginalis and epididymal anomalies. PMID:27564294

  2. [Antique anatomical collections for contemporary museums].

    Science.gov (United States)

    Nesi, Gabriella; Santi, Raffaella

    2013-01-01

    Anatomy and Pathology Museum collections display a great biological value and offer unique samples for research purposes. Pathological specimens may be investigated by means of modern radiological and molecular biology techniques in order to provide the etiological background of disease, with relevance to present-day knowledge. Meanwhile, historical resources provide epidemiologic data regarding the socio-economic conditions of the resident populations, the more frequently encountered illnesses and dietary habits. These multidisciplinary approaches lead to more accurate diagnoses also allowing new strategies in cataloguing and musealization of anatomical specimens. Further, once these data are gathered, they may constitute the basis of riedited Museum catalogues feasible to be digitalized and displayed via the Web.

  3. 21. IAEA fusion energy conference. Book of abstracts

    International Nuclear Information System (INIS)

    Recognizing the prominent role that nuclear energy plays in the world, and based on the expectation that nuclear fusion will be able to provide an abundant source of energy, the International Atomic Energy Agency (IAEA) supports the exchange of scientific and technical information on fusion research through conferences, meetings and projects. The 21st IAEA Fusion Energy Conference (FEC 2006) provided a forum for presenting and discussing the progress that is being made in fusion experiments, theory and technological developments. It is expected that the progress in the establishment of ITER since the last Fusion Energy Conference will put more emphasis on the physics and technology R and D aspects in the realization of fusion as a clean and lasting energy source. FEC 2006 covered the following topics: OV Overviews; EX Magnetic Confinement Experiments; TH Magnetic Confinement Theory and Modelling; IT ITER Activities; IF Inertial Fusion Experiments and Theory; IC Innovative Concepts; FT Fusion Technology and Power Plant Design; SE Safety, Environmental and Economic Aspects of Fusion. At the same time, a series of satellite meetings and fusion related exhibitions took place

  4. Anatomical database generation for radiation transport modeling from computed tomography (CT) scan data

    Energy Technology Data Exchange (ETDEWEB)

    Margle, S.M.; Tinnel, E.P.; Till, L.E.; Eckerman, K.F.; Durfee, R.C.

    1989-01-01

    Geometric models of the anatomy are used routinely in calculations of the radiation dose in organs and tissues of the body. Development of such models has been hampered by lack of detailed anatomical information on children, and models themselves have been limited to quadratic conic sections. This summary reviews the development of an image processing workstation used to extract anatomical information from routine diagnostic CT procedure. A standard IBM PC/AT microcomputer has been augmented with an automatically loading 9-track magnetic tape drive, an 8-bit 1024 {times} 1024 pixel graphics adapter/monitor/film recording package, a mouse/trackball assembly, dual 20 MB removable cartridge media, a 72 MB disk drive, and a printer. Software utilized by the workstation includes a Geographic Information System (modified for manipulation of CT images), CAD software, imaging software, and various modules to ease data transfer among the software packages. 5 refs., 3 figs.

  5. 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.

  6. 基于Multi-Agent技术的三层信息融合系统研究%Three-tier Information Fusion System Research Based on Multi-Agent Technology

    Institute of Scientific and Technical Information of China (English)

    崔东风; 黄宇达; 赵红专; 王迤冉

    2012-01-01

    针对传统传感器网络管理复杂,系统信息融合智能化不高、精度低和模式单一、结构不清晰等不足,首先分析了Multi-Agent技术、传感器网络技术以及信息融合技术的独特优势,然后采用计算机网络分层结构思想和基于人工智能本体的知识表达理念,在信息融合过程中采用改进的SVM分类方法,构建了一种基于Multi-Agent技术的多传感器三层信息融合系统并对其具体融合过程进行了分析.最后对分类过程用MATLAB进行了分析.实验结果表明:系统分类精度较高,一定程度上不仅明显弥补了传统传感器的诸多不足,而且为后期决策提供了较为精准的目标参数.%For some shortcomings of the traditional sensor networks, such as: complex network management, low degree of system integration intelligent, low - precision, single model, the structure is not clear, etc. ,The unique advantages of the Multi-Agent technology, sensor networks technology, information fusion technology are first analyzed , and then the computer network hierarchy ideas and knowledge representation concept based on artificial intelligence ontology and a improved method of SVM classification for information fusion to construct a multi-sensor three-tier information integration system based on Multi-Agent technology are used and then its specific integration process is analyzed. At last, the classification process using MATLAB is analyzed. Experimental results show that; the system has high classification precison and to a certain extent not only obviously make up for the shortcomings of conventional sensor but also provides some more accurate targent parameters for late decision-making.

  7. 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

  8. Fusion facility siting considerations

    Energy Technology Data Exchange (ETDEWEB)

    Bussell, G.T.

    1985-07-01

    Inherent in the fusion program's transition from hydrogen devices to commercial power machines is a general increase in the size and scope of succeeding projects. This growth will lead to increased emphasis on safety, environmental impact, and the external effects of fusion in general, and of each new device in particular. A critically important consideration in this regard is site selection. The purpose of this paper is to examine major siting issues that may affect the economics, safety, and environmental impact of fusion.

  9. Fusion facility siting considerations

    Energy Technology Data Exchange (ETDEWEB)

    Bussell, G.T.

    1985-01-01

    Inherent in the fusion program's transition from hydrogen devices to commercial power machines is a general increase in the size and scope of succeeding projects. This growth will lead to increased emphasis on safety, environmental impact, and the external effects of fusion in general, and of each new device in particular. A critically important consideration in this regard is site selection. The purpose of this paper is to examine major siting issues that may affect the economics, safety, and environmental impact of fusion.

  10. A COMPARISON OF MRI AND PET IMAGES FUSION BASED ON YCBCR AND IHS COLOR SPACES

    OpenAIRE

    Ehsan Jalili; Sabalan Daneshvar

    2014-01-01

    Image fusion is a process in which two or more images from different sources or of various states are merged to create a single image in order to increase desired information of the images, decrease ambiguity, and eliminate repeated information. Fusion of high spatial resolution images such as MRI image with high spectral resolution images such as PET image is a case in point. A proper fusion technique adds spatial information to the final image without obliterating spectral information. Amon...

  11. Evaluation of polynomial image deformation for matching of 3D- abdominal MR-images using anatomical landmarks and for atlas construction

    CERN Document Server

    Kimiaei, S; Jonsson, E; Crafoord, J; Maguire, G Q

    1999-01-01

    The aim of this study is to compare and evaluate the potential usability of linear and non-linear (polynomial) 3D-warping for constructing an atlas by matching abdominal MR-images from a number of different individuals using manually picked anatomical landmarks. The significance of this study lies in the fact that it illustrates the potential to use polynomial matching at a local or organ level. This is a necessary requirement for constructing an atlas and for fine intra-patient image matching and fusion. Finally 3D-image warping using anatomical landmark for inter-patient intra-modality image co-registration and fusion was found to be a very powerful and robust method. Additionally it can be used for intra-patient inter- modality image matching.

  12. 基于MRF信息融合的多通道SAR图像变化检测算法%Change detection from multichannel SAR image by MRF information fusion

    Institute of Scientific and Technical Information of China (English)

    李长春; 张光胜; 王世东; 岳建伟

    2012-01-01

    SAR图像变化检测是近几年SAR图像应用研究的新领域,现有的SAR图像变化检测算法大多针对单通道图像数据,而利用多通道SAR图像数据进行变化检测,可以充分利用图像信息,能够得到更好的检测效果.论文研究了基于MRF信息融合的多通道SAR图像变化检测算法,通过融合图像不同通道信息,实现变化检测;并重点论述了算法的基本原理和算法实现过程,通过实验对比,证明了论文提出的算法可以得到较高的检测精度.%SAR image change detection is a new field to research on the application of SAR images, which has been used in many ways successfully, such as national economy and national defence. At present, the algorithms of SAR image change detection almost focus on singlechannel SAR image. While when multichannels data is applied in change detection, the image information could be fully utilized, and more perfect detection result could be got In this paper, the algorithm of change detection from multichannel SAR image by MRF information fusion was proposed. The change detection was carried out by fusing different channels information of image. The algorithm could not only apply to the spatial reliant relationship among pixels, but fuse the different information from multichannels. The basic principle and implementation procedure were focused on. In the end, the experimental comparison showed that the algorithm proposed in this paper could receive change detection result with very high precision.

  13. On Exotic Saturated Fusion Systems

    Institute of Scientific and Technical Information of China (English)

    Jun LIAO

    2016-01-01

    In this paper, we prove that a product F1 × F2 of saturated fusion systems is exotic if and only if at least one of the factors is exotic. This result provides a method to construct new exotic fusion systems by known exotic fusion systems. We also investigate central products of saturated fusion systems.

  14. Fusion Systems for Profinite Groups

    OpenAIRE

    Stancu, Radu; Symonds, Peter

    2012-01-01

    We introduce the notion of a pro-fusion system on a pro-p group, which generalizes the notion of a fusion system on a finite p-group. We also prove a version of Alperin's Fusion Theorem for pro-fusion systems.

  15. Multi-focus image fusion algorithm based on shearlets

    Institute of Scientific and Technical Information of China (English)

    Qiguang Miao; Cheng Shi; Pengfei Xu; Mei Yang; Yaobo Shi

    2011-01-01

    Shearlets not only possess all properties that other transforms have, but also are equipped with a rich mathematical structure similar to wavelets, which are associated to a multi-resolution analysis. Recently,shearlets have been used in image denoising, sparse image representation, and edge detection. However, its application in image fusion is still under study. In this letter, we study the feasibility of image fusion using shearlets. Fusion rules of larger high-frequency coefficients based on regional energy, regional variance,and absolute value are proposed because shearlet transform can catch detailed information in any scale and any direction. The fusion accuracy is also further improved by a region consistency check. Several different experiments are adopted to prove that fusion results based on shearlet transform can acquire better fusion quality than any other method.%@@ Shearlets not only possess all properties that other transforms have, but also are equipped with a rich mathematical structure similar to wavelets, which are associated to a multi-resolution analysis.Recently,shearlets have been used in image denoising, sparse image representation, and edge detection.However, its application in image fusion is still under study.In this letter, we study the feasibility of image fusion using shearlets.Fusion rules of larger high-frequency coefficients based on regional energy, regional variance,and absolute value are proposed because shearlet transform can catch detailed information in any scale and any direction.The fusion accuracy is also further improved by a region consistency check.Several different experiments are adopted to prove that fusion results based on shearlet transform can acquire better fusion quality than any other method.

  16. Fusion technology programme

    International Nuclear Information System (INIS)

    KfK participates to the Fusion Technology Programme of the European Community. Most of the work in progress addresses the Next European Torus (NET) and the long term technology aspects as defined in the 82/86 programme. A minor part serves to preparation of future contributions and to design studies on fusion concepts in a wider perspective. The Fusion Technology Programme of Euratom covers mainly aspects of nuclear engineering. Plasma engineering, heating, refueling and vacuum technology are at present part of the Physics Programme. In view of NET, integration of the different areas of work will be mandatory. KfK is therefore prepared to address technical aspects beyond the actual scope of the physics experiments. The technology tasks are reported project wise under title and code of the Euratom programme. Most of the projects described here are shared with other European fusion laboratories as indicated in the table annexed to this report. (orig./GG)

  17. 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...

  18. Label Fusion Strategy Selection

    Directory of Open Access Journals (Sweden)

    Nicolas Robitaille

    2012-01-01

    Full Text Available Label fusion is used in medical image segmentation to combine several different labels of the same entity into a single discrete label, potentially more accurate, with respect to the exact, sought segmentation, than the best input element. Using simulated data, we compared three existing label fusion techniques—STAPLE, Voting, and Shape-Based Averaging (SBA—and observed that none could be considered superior depending on the dissimilarity between the input elements. We thus developed an empirical, hybrid technique called SVS, which selects the most appropriate technique to apply based on this dissimilarity. We evaluated the label fusion strategies on two- and three-dimensional simulated data and showed that SVS is superior to any of the three existing methods examined. On real data, we used SVS to perform fusions of 10 segmentations of the hippocampus and amygdala in 78 subjects from the ICBM dataset. SVS selected SBA in almost all cases, which was the most appropriate method overall.

  19. 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

  20. 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.