WorldWideScience

Sample records for model moving objects

  1. Moving objects management models, techniques and applications

    CERN Document Server

    Meng, Xiaofeng; Xu, Jiajie

    2014-01-01

    This book describes the topics of moving objects modeling and location tracking, indexing and querying, clustering, location uncertainty, traffic aware navigation and privacy issues as well as the application to intelligent transportation systems.

  2. DIFFUSION BACKGROUND MODEL FOR MOVING OBJECTS DETECTION

    Directory of Open Access Journals (Sweden)

    B. V. Vishnyakov

    2015-05-01

    Full Text Available In this paper, we propose a new approach for moving objects detection in video surveillance systems. It is based on construction of the regression diffusion maps for the image sequence. This approach is completely different from the state of the art approaches. We show that the motion analysis method, based on diffusion maps, allows objects that move with different speed or even stop for a short while to be uniformly detected. We show that proposed model is comparable to the most popular modern background models. We also show several ways of speeding up diffusion maps algorithm itself.

  3. Moving object detection using keypoints reference model

    Directory of Open Access Journals (Sweden)

    Wan Zaki Wan Mimi Diyana

    2011-01-01

    Full Text Available Abstract This article presents a new method for background subtraction (BGS and object detection for a real-time video application using a combination of frame differencing and a scale-invariant feature detector. This method takes the benefits of background modelling and the invariant feature detector to improve the accuracy in various environments. The proposed method consists of three main modules, namely, modelling, matching and subtraction modules. The comparison study of the proposed method with a popular Gaussian mixture model proved that the improvement in correct classification can be increased up to 98% with a reduction of false negative and true positive rates. Beside that the proposed method has shown great potential to overcome the drawback of the traditional BGS in handling challenges like shadow effect and lighting fluctuation.

  4. The Application Model of Moving Objects in Cargo Delivery System

    Institute of Scientific and Technical Information of China (English)

    ZHANG Feng-li; ZHOU Ming-tian; XU Bo

    2004-01-01

    The development of spatio-temporal database systems is primarily motivated by applications which track and present mobile objects. In this paper, solutions for establishing the moving object database based on GPS/GIS environment are presented, and a data modeling of moving object is given by using Temporal logical to extent the query language, finally the application model in cargo delivery system is shown.

  5. GSMNet: A Hierarchical Graph Model for Moving Objects in Networks

    Directory of Open Access Journals (Sweden)

    Hengcai Zhang

    2017-03-01

    Full Text Available Existing data models for moving objects in networks are often limited by flexibly controlling the granularity of representing networks and the cost of location updates and do not encompass semantic information, such as traffic states, traffic restrictions and social relationships. In this paper, we aim to fill the gap of traditional network-constrained models and propose a hierarchical graph model called the Geo-Social-Moving model for moving objects in Networks (GSMNet that adopts four graph structures, RouteGraph, SegmentGraph, ObjectGraph and MoveGraph, to represent the underlying networks, trajectories and semantic information in an integrated manner. The bulk of user-defined data types and corresponding operators is proposed to handle moving objects and answer a new class of queries supporting three kinds of conditions: spatial, temporal and semantic information. Then, we develop a prototype system with the native graph database system Neo4Jto implement the proposed GSMNet model. In the experiment, we conduct the performance evaluation using simulated trajectories generated from the BerlinMOD (Berlin Moving Objects Database benchmark and compare with the mature MOD system Secondo. The results of 17 benchmark queries demonstrate that our proposed GSMNet model has strong potential to reduce time-consuming table join operations an d shows remarkable advantages with regard to representing semantic information and controlling the cost of location updates.

  6. Neighborhood Supported Model Level Fuzzy Aggregation for Moving Object Segmentation.

    Science.gov (United States)

    Chiranjeevi, Pojala; Sengupta, Somnath

    2014-02-01

    We propose a new algorithm for moving object detection in the presence of challenging dynamic background conditions. We use a set of fuzzy aggregated multifeature similarity measures applied on multiple models corresponding to multimodal backgrounds. The algorithm is enriched with a neighborhood-supported model initialization strategy for faster convergence. A model level fuzzy aggregation measure driven background model maintenance ensures more robustness. Similarity functions are evaluated between the corresponding elements of the current feature vector and the model feature vectors. Concepts from Sugeno and Choquet integrals are incorporated in our algorithm to compute fuzzy similarities from the ordered similarity function values for each model. Model updating and the foreground/background classification decision is based on the set of fuzzy integrals. Our proposed algorithm is shown to outperform other multi-model background subtraction algorithms. The proposed approach completely avoids explicit offline training to initialize background model and can be initialized with moving objects also. The feature space uses a combination of intensity and statistical texture features for better object localization and robustness. Our qualitative and quantitative studies illustrate the mitigation of varieties of challenging situations by our approach.

  7. A Biological Hierarchical Model Based Underwater Moving Object Detection

    Directory of Open Access Journals (Sweden)

    Jie Shen

    2014-01-01

    Full Text Available Underwater moving object detection is the key for many underwater computer vision tasks, such as object recognizing, locating, and tracking. Considering the super ability in visual sensing of the underwater habitats, the visual mechanism of aquatic animals is generally regarded as the cue for establishing bionic models which are more adaptive to the underwater environments. However, the low accuracy rate and the absence of the prior knowledge learning limit their adaptation in underwater applications. Aiming to solve the problems originated from the inhomogeneous lumination and the unstable background, the mechanism of the visual information sensing and processing pattern from the eye of frogs are imitated to produce a hierarchical background model for detecting underwater objects. Firstly, the image is segmented into several subblocks. The intensity information is extracted for establishing background model which could roughly identify the object and the background regions. The texture feature of each pixel in the rough object region is further analyzed to generate the object contour precisely. Experimental results demonstrate that the proposed method gives a better performance. Compared to the traditional Gaussian background model, the completeness of the object detection is 97.92% with only 0.94% of the background region that is included in the detection results.

  8. Computational Data Modeling for Network-Constrained Moving Objects

    DEFF Research Database (Denmark)

    Jensen, Christian Søndergaard; Speicys, L.; Kligys, A.

    2003-01-01

    Advances in wireless communications, positioning technology, and other hardware technologies combine to enable a range of applications that use a mobile user’s geo-spatial data to deliver online, location-enhanced services, often referred to as location-based services. Assuming that the service...... users are constrained to a transportation network, this paper develops data structures that model road networks, the mobile users, and stationary objects of interest. The proposed framework encompasses two supplementary road network representations, namely a two-dimensional representation and a graph...

  9. Computational Data Modeling for Network-Constrained Moving Objects

    DEFF Research Database (Denmark)

    Jensen, Christian Søndergaard; Speicys, L.; Kligys, A.

    2003-01-01

    Advances in wireless communications, positioning technology, and other hardware technologies combine to enable a range of applications that use a mobile user’s geo-spatial data to deliver online, location-enhanced services, often referred to as location-based services. Assuming that the service...... users are constrained to a transportation network, this paper develops data structures that model road networks, the mobile users, and stationary objects of interest. The proposed framework encompasses two supplementary road network representations, namely a two-dimensional representation and a graph...... representation. These capture aspects of the problem domain that are required in order to support the querying that underlies the envisioned location-based services....

  10. An analog retina model for detecting dim moving objects against a bright moving background

    Science.gov (United States)

    Searfus, R. M.; Colvin, M. E.; Eeckman, F. H.; Teeters, J. L.; Axelrod, T. S.

    1991-01-01

    We are interested in applications that require the ability to track a dim target against a bright, moving background. Since the target signal will be less than or comparable to the variations in the background signal intensity, sophisticated techniques must be employed to detect the target. We present an analog retina model that adapts to the motion of the background in order to enhance targets that have a velocity difference with respect to the background. Computer simulation results and our preliminary concept of an analog 'Z' focal plane implementation are also presented.

  11. Transient heating of moving objects

    Directory of Open Access Journals (Sweden)

    E.I. Baida

    2014-06-01

    Full Text Available A mathematical model of transient and quasistatic heating of moving objects by various heat sources is considered. The mathematical formulation of the problem is described, examples of thermal calculation given.

  12. Moving object detection using dynamic motion modelling from UAV aerial images.

    Science.gov (United States)

    Saif, A F M Saifuddin; Prabuwono, Anton Satria; Mahayuddin, Zainal Rasyid

    2014-01-01

    Motion analysis based moving object detection from UAV aerial image is still an unsolved issue due to inconsideration of proper motion estimation. Existing moving object detection approaches from UAV aerial images did not deal with motion based pixel intensity measurement to detect moving object robustly. Besides current research on moving object detection from UAV aerial images mostly depends on either frame difference or segmentation approach separately. There are two main purposes for this research: firstly to develop a new motion model called DMM (dynamic motion model) and secondly to apply the proposed segmentation approach SUED (segmentation using edge based dilation) using frame difference embedded together with DMM model. The proposed DMM model provides effective search windows based on the highest pixel intensity to segment only specific area for moving object rather than searching the whole area of the frame using SUED. At each stage of the proposed scheme, experimental fusion of the DMM and SUED produces extracted moving objects faithfully. Experimental result reveals that the proposed DMM and SUED have successfully demonstrated the validity of the proposed methodology.

  13. A Framework for Representing Moving Objects

    DEFF Research Database (Denmark)

    Becker, Ludger; Blunck, Henrik; Hinrichs, Klaus

    2004-01-01

    We present a framework for representing the trajectories of moving objects and the time-varying results of operations on moving objects. This framework supports the realization of discrete data models of moving objects databases, which incorporate representations of moving objects based on non-li...

  14. Moving Objects Detection Using Intersecting Cortical Model in Enhanced Fish-eye Image

    Institute of Scientific and Technical Information of China (English)

    WU Jian-hui; YANG Kun-tao; DU Jian-rong; ZHANG Nan-yang-sheng

    2009-01-01

    A new method of the moving objects detection using the enhanced fish-eye lens and the intersecting cortical model (ICM) algorithm is proposed. The improved fish-eye lens is designed through controlling the entrance pupils of the lens.This lens has an ultra field of view about 183 degrees,and can image resolution.The ICM is a model based on pulse coupled neural network(PCNN) which is especially designed for image processing.It is derived from several visual cortex models and is basically the intersection of these models.The theoretical foundation of the ICM is given.An improved ICM algorithm in which some parameters are modified is used to detect moving objects specially.The experiment indicated that moving objects can be detected reliably and efficiently using ICM algorithm from the elliptical fish-eye image.It can be used in the field of traffic monitoring and other security domains.

  15. Moving Object Trajectories Meta-Model And Spatio-Temporal Queries

    CERN Document Server

    Boulmakoul, Azedine; Lbath, Ahmed

    2012-01-01

    In this paper, a general moving object trajectories framework is put forward to allow independent applications processing trajectories data benefit from a high level of interoperability, information sharing as well as an efficient answer for a wide range of complex trajectory queries. Our proposed meta-model is based on ontology and event approach, incorporates existing presentations of trajectory and integrates new patterns like space-time path to describe activities in geographical space-time. We introduce recursive Region of Interest concepts and deal mobile objects trajectories with diverse spatio-temporal sampling protocols and different sensors available that traditional data model alone are incapable for this purpose.

  16. Moving object detection using a background modeling based on entropy theory and quad-tree decomposition

    Science.gov (United States)

    Elharrouss, Omar; Moujahid, Driss; Elkah, Samah; Tairi, Hamid

    2016-11-01

    A particular algorithm for moving object detection using a background subtraction approach is proposed. We generate the background model by combining quad-tree decomposition with entropy theory. In general, many background subtraction approaches are sensitive to sudden illumination change in the scene and cannot update the background image in scenes. The proposed background modeling approach analyzes the illumination change problem. After performing the background subtraction based on the proposed background model, the moving targets can be accurately detected at each frame of the image sequence. In order to produce high accuracy for the motion detection, the binary motion mask can be computed by the proposed threshold function. The experimental analysis based on statistical measurements proves the efficiency of our proposed method in terms of quality and quantity. And it even outperforms substantially existing methods by perceptional evaluation.

  17. Minimum Delay Moving Object Detection

    KAUST Repository

    Lao, Dong

    2017-01-08

    We present a general framework and method for detection of an object in a video based on apparent motion. The object moves relative to background motion at some unknown time in the video, and the goal is to detect and segment the object as soon it moves in an online manner. Due to unreliability of motion between frames, more than two frames are needed to reliably detect the object. Our method is designed to detect the object(s) with minimum delay, i.e., frames after the object moves, constraining the false alarms. Experiments on a new extensive dataset for moving object detection show that our method achieves less delay for all false alarm constraints than existing state-of-the-art.

  18. Moving object detection method based on complementary multi resolution background models

    Institute of Scientific and Technical Information of China (English)

    屠礼芬; 仲思东; 彭祺

    2014-01-01

    A novel moving object detection method was proposed in order to adapt the difficulties caused by intermittent object motion, thermal and dynamic background sequences. Two groups of complementary Gaussian mixture models were used. The ghost and real static object could be classified by comparing the similarity of the edge images further. In each group, the multi resolution Gaussian mixture models were used and dual thresholds were applied in every resolution in order to get a complete object mask without much noise. The computational color model was also used to depress illustration variations and light shadows. The proposed method was verified by the public test sequences provided by the IEEE Change Detection Workshop and compared with three state-of-the-art methods. Experimental results demonstrate that the proposed method is better than others for all of the evaluation parameters in intermittent object motion sequences. Four and two in the seven evaluation parameters are better than the others in thermal and dynamic background sequences, respectively. The proposed method shows a relatively good performance, especially for the intermittent object motion sequences.

  19. Minimum Delay Moving Object Detection

    KAUST Repository

    Lao, Dong

    2017-05-14

    This thesis presents a general framework and method for detection of an object in a video based on apparent motion. The object moves, at some unknown time, differently than the “background” motion, which can be induced from camera motion. The goal of proposed method is to detect and segment the object as soon it moves in an online manner. Since motion estimation can be unreliable between frames, more than two frames are needed to reliably detect the object. Observing more frames before declaring a detection may lead to a more accurate detection and segmentation, since more motion may be observed leading to a stronger motion cue. However, this leads to greater delay. The proposed method is designed to detect the object(s) with minimum delay, i.e., frames after the object moves, constraining the false alarms, defined as declarations of detection before the object moves or incorrect or inaccurate segmentation at the detection time. Experiments on a new extensive dataset for moving object detection show that our method achieves less delay for all false alarm constraints than existing state-of-the-art.

  20. New algorithm for moving object detection

    Directory of Open Access Journals (Sweden)

    Zeljković Vesna

    2004-01-01

    Full Text Available A new, simple, fast and effective method for moving object detection in outdoor environments, invariant to extreme illumination changes is presented as an improvement to the shading model method described in [8]. It is based on an analytical parameter introduced in the shading model, background updating technique and window processing.

  1. Towards Database Support for Moving Object Data

    NARCIS (Netherlands)

    Meratnia, Nirvana

    2005-01-01

    To narrow down moving object challenges, the focus of this thesis is on four issues, namely, uncertainty handling for moving object data, faithful trajectory representation, trajectory compression techniques, and similarity measures for trajectories.

  2. Online Risk Prediction for Indoor Moving Objects

    DEFF Research Database (Denmark)

    Ahmed, Tanvir; Pedersen, Torben Bach; Calders, Toon

    2016-01-01

    Technologies such as RFID and Bluetooth have received considerable attention for tracking indoor moving objects. In a time-critical indoor tracking scenario such as airport baggage handling, a bag has to move through a sequence of locations until it is loaded into the aircraft. Inefficiency...

  3. A Model of the Dynamic Error as a Measurement Result of Instruments Defining the Parameters of Moving Objects

    Science.gov (United States)

    Dichev, D.; Koev, H.; Bakalova, T.; Louda, P.

    2014-08-01

    The present paper considers a new model for the formation of the dynamic error inertial component. It is very effective in the analysis and synthesis of measuring instruments positioned on moving objects and measuring their movement parameters. The block diagram developed within this paper is used as a basis for defining the mathematical model. The block diagram is based on the set-theoretic description of the measuring system, its input and output quantities and the process of dynamic error formation. The model reflects the specific nature of the formation of the dynamic error inertial component. In addition, the model submits to the logical interrelation and sequence of the physical processes that form it. The effectiveness, usefulness and advantages of the model proposed are rooted in the wide range of possibilities it provides in relation to the analysis and synthesis of those measuring instruments, the formulation of algorithms and optimization criteria, as well as the development of new intelligent measuring systems with improved accuracy characteristics in dynamic mode.

  4. Querying moving objects detected by sensor networks

    CERN Document Server

    Bestehorn, Markus

    2012-01-01

    Declarative query interfaces to Sensor Networks (SN) have become a commodity. These interfaces allow access to SN deployed for collecting data using relational queries. However, SN are not confined to data collection, but may track object movement, e.g., wildlife observation or traffic monitoring. While rational approaches are well suited for data collection, research on ""Moving Object Databases"" (MOD) has shown that relational operators are unsuitable to express information needs on object movement, i.e., spatio-temporal queries. ""Querying Moving Objects Detected by Sensor Networks"" studi

  5. Effectively Indexing Uncertain Moving Objects for Predictive Queries

    DEFF Research Database (Denmark)

    Zhang, Meihui; Chen, Su; Jensen, Christian Søndergaard

    2009-01-01

    Moving object indexing and query processing is a well studied research topic, with applications in areas such as intelligent transport systems and location-based services. While much existing work explicitly or implicitly assumes a deterministic object movement model, real-world objects often move...... in more complex and stochastic ways. This paper investigates the possibility of a marriage between moving-object indexing and probabilistic object modelling. Given the distributions of the current locations and velocities of moving objects, we devise an efficient inference method for the prediction...... of future locations. We demonstrate that such prediction can be seamlessly integrated into existing index structures designed for moving objects, thus improving the meaningfulness of range and nearest neighbor query results in highly dynamic and uncertain environments. The paper reports on extensive...

  6. Aggregation Languages for Moving Object and Places of Interest Data

    CERN Document Server

    Gomez, Leticia; Vaisman, Alejandro

    2007-01-01

    We address aggregate queries over GIS data and moving object data, where non-spatial data are stored in a data warehouse. We propose a formal data model and query language to express complex aggregate queries. Next, we study the compression of trajectory data, produced by moving objects, using the notions of stops and moves. We show that stops and moves are expressible in our query language and we consider a fragment of this language, consisting of regular expressions to talk about temporally ordered sequences of stops and moves. This fragment can be used to efficiently express data mining and pattern matching tasks over trajectory data.

  7. Nonuniform video size reduction for moving objects.

    Science.gov (United States)

    Le, Anh Vu; Jung, Seung-Won; Won, Chee Sun

    2014-01-01

    Moving objects of interest (MOOIs) in surveillance videos are detected and encapsulated by bounding boxes. Since moving objects are defined by temporal activities through the consecutive video frames, it is necessary to examine a group of frames (GoF) to detect the moving objects. To do that, the traces of moving objects in the GoF are quantified by forming a spatiotemporal gradient map (STGM) through the GoF. Each pixel value in the STGM corresponds to the maximum temporal gradient of the spatial gradients at the same pixel location for all frames in the GoF. Therefore, the STGM highlights boundaries of the MOOI in the GoF and the optimal bounding box encapsulating the MOOI can be determined as the local areas with the peak average STGM energy. Once an MOOI and its bounding box are identified, the inside and outside of it can be treated differently for object-aware size reduction. Our optimal encapsulation method for the MOOI in the surveillance videos makes it possible to recognize the moving objects even after the low bitrate video compressions.

  8. Recognition and tracking of moving objects

    Science.gov (United States)

    El-Konyaly, El-Sayed H.; Enab, Yehia M.; Soltan, Hesham

    1991-03-01

    A sequence of image frames after processing them digitally was used to detect classify locate track and evaluate orientation and size of moving objects. The workspace area is limited and constrained to be perpendicular to the camera axis. The calibration for the real locations and real lengthes relative to the image plane ones is done taking these constraints in account. No a priori knowledge about path of motion texture and stationary or non-stationary components of the analyzed image is assumed. A sequence of processing stages to extract the moving objects separate them code thin and fill the disconnections of the extracted moving object boundary is developed. Recognition and classification of the object is performed using Walsh-Hadamard transformation of its detected boundary. Thus the amount of computations required for this purpose is reduced.

  9. Effective Density Queries of Continuously Moving Objects

    DEFF Research Database (Denmark)

    Jensen, Christian Søndergaard; Lin, D.; Ooi, B.C.

    2006-01-01

    In this paper, we study a newly emerging type of queries on moving objects - the density query. Basically, this query locates regions in the data space where the density of the objects is high. This type of queries is especially useful in Location Based Services (LBS). For example, in a traffic...

  10. Motion planning for multiple moving objects

    Energy Technology Data Exchange (ETDEWEB)

    Hwang, Y.K.

    1995-05-01

    We present a motion planner for multiple moving objects in two dimensions. The search for collision-free paths is performed in the composite configuration space of all the moving objects to guarantee a solution, and the efficiency of our planner is demonstrated with examples. Our motion planner can be characterized with a hierarchical, multi-resolution search of the configuration space along with a generate-and-test paradigm for solution paths. Because of the high dimensionality of the composite configuration space, our planner is most useful for cases with a small number of moving objects. Some of the potential applications are navigation of several mobile robots, and planning part motions for a multi-handed assembly operation.

  11. Moving object detection using background subtraction

    CERN Document Server

    Shaikh, Soharab Hossain; Chaki, Nabendu

    2014-01-01

    This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic bac

  12. Radar Cross Section of Moving Objects

    CERN Document Server

    Gholizade, H

    2013-01-01

    I investigate the effects of movement on radar cross section calculations. The results show that relativistic effects (the constant velocity case) can change the RCS of moving targets by changing the incident plane wave field vectors. As in the Doppler effect, the changes in the fields are proportional to $\\frac{v}{c}$. For accelerated objects, using the Newtonian equations of motion yields an effective electric field (or effective current density) on the object due to the finite mass of the conducting electrons. The results indicate that the magnetic moment of an accelerated object is different from that of an un-accelerated object, and this difference can change the RCS of the object. Results for moving sphere and non-uniformly rotating sphere are given and compared with static (\\textbf{v}=0) case.

  13. A Novel Approach for Moving Object Detection from Dynamic Background

    Directory of Open Access Journals (Sweden)

    Ms. Pinky R. Rathod,

    2015-03-01

    Full Text Available In computer vision application, moving object detection is the key technology for intelligent video monitoring system. Performance of an automated visual surveillance system considerably depends on its ability to detect moving objects in thermodynamic environment. A subsequent action, such as tracking, analyzing the motion or identifying objects, requires an accurate extraction of the foreground objects, making moving object detection a crucial part of the system. The aim of this paper is to detect real moving objects from un-stationary background regions (such as branches and leafs of a tree or a flag waving in the wind, limiting false negatives (objects pixels that are not detected as much as possible. In addition, it is assumed that the models of the target objects and their motion are unknown, so as to achieve maximum application independence (i.e. algorithm works under the non-prior training.

  14. Spatiotemporal Compression Techniques for Moving Point Objects

    NARCIS (Netherlands)

    Meratnia, N.; de By, R.A.; Bertino, E.

    2004-01-01

    Moving object data handling has received a fair share of attention over recent years in the spatial database community. This is understandable as positioning technology is rapidly making its way into the consumer market, not only through the already ubiquitous cell phone but soon also through small,

  15. Boosting Moving Object Indexing through Velocity Partitioning

    CERN Document Server

    Nguyen, Thi; Zhang, Rui; Ward, Phillip

    2012-01-01

    There have been intense research interests in moving object indexing in the past decade. However, existing work did not exploit the important property of skewed velocity distributions. In many real world scenarios, objects travel predominantly along only a few directions. Examples include vehicles on road networks, flights, people walking on the streets, etc. The search space for a query is heavily dependent on the velocity distribution of the objects grouped in the nodes of an index tree. Motivated by this observation, we propose the velocity partitioning (VP) technique, which exploits the skew in velocity distribution to speed up query processing using moving object indexes. The VP technique first identifies the "dominant velocity axes (DVAs)" using a combination of principal components analysis (PCA) and k-means clustering. Then, a moving object index (e.g., a TPR-tree) is created based on each DVA, using the DVA as an axis of the underlying coordinate system. An object is maintained in the index whose DVA...

  16. Localizing non-retinotopically moving objects.

    Directory of Open Access Journals (Sweden)

    Yuki Yamada

    Full Text Available How does the brain determine the position of moving objects? It turns out to be rather complex to answer this question when we realize that the brain has to solve the motion correspondence problem in two kinds of reference frames: Retinotopic and non-retinotopic ones. We show that visual objects are mislocalized along a non-retinotopic motion direction. Observers viewed two successive movie frames each consisting of an outlined square and two target elements inside the square. In the non-retinotopic condition the elements as well as the square moved vertically while two bars also centripetally or centrifugally moved. In the retinotopic condition the vertical movement of them was removed from the stimuli. The task of the observers was to judge a relative position of the elements. Consequently, the elements were mislocalized in the direction of both retinotopic and non-retinotopic motion, although the mislocalization was significantly larger in the retinotopic than in the non-retinotopic conditions. The results suggest that non-retinotopic as well as retinotopic motion processing contributes to the determination of perceived positions of moving objects.

  17. Tracking Moving Objects with Few Handovers

    CERN Document Server

    Eppstein, David; Löffler, Maarten

    2011-01-01

    We study the online problem of assigning a moving point to a base-station region that contains it. For instance, the moving object could represent a cellular phone and the base station could represent the coverage zones of cell towers. Our goal is to minimize the number of handovers that occur when the point moves outside its assigned region and must be assigned to a new region. We study this problem in terms of competitive analysis and we measure the competitive ratio of our algorithms as a function of the ply of the system of regions, that is, the maximum number of regions that cover any single point. In the offline version of this problem, when object motions are known in advance, a simple greedy strategy suffices to determine an optimal assignment of objects to base stations, with as few handovers as possible. For the online version of this problem for moving points in one dimension, we present a deterministic algorithm that achieves a competitive ratio of O(log ply) with respect to the optimal algorithm,...

  18. Moving Objects Data Management in GPS/GIS Environment

    Institute of Scientific and Technical Information of China (English)

    ZHANGFengli; ZHOUMingtian; XUBo

    2004-01-01

    Storing and processing the information about moving objects is crucial for a wide range of applications: traffic control, transportation industry/fleet management, digital battlefields, ecology/environment monitoring, mobile communication systems, etc. The development of spatio-temporal database systems is primarily motivated by applications which track and present mobile objects. In this paper we present our solution for establishing the Moving object database (MOD) based on GPS/GIS environment, propose the model of moving objects, analyze the components of the information cost of a trip, discuss the update policies of the moving objects, and based on this model we develop a test-bed of cargo delivery system on existing DBMS.

  19. An index method for continuous moving objects

    Institute of Scientific and Technical Information of China (English)

    ZHANG Hui-bin; XIE Kun-qing; MA Xiu-jun; XU dan; YANG Bao-gang

    2004-01-01

    There are current, historical and future information about continuously moving spatio-temporal objects. And there are correspondingly spatio-temporal indexes for current, past and future querying. Among the various types of spatio-temporal access methods, no one can support historical and future information querying. The Time Parameterized R-tree(TPR-tree) employs the idea of parametric bounding rectangles in the R-tree. It can effectively support predictive querying to continuously moving objects.Unfortunately, TPR-tree can not used to historical querying. This paper presents a partial-persistence method in order to extend TPR-tree for querying past information of moving objects. In this method, several TPR-trees will be created for more effectively predictive querying, because TPR-tree has a time horizon limit for predictive querying.Further more, a B-tree will be used to index time dimension. Since the partial-persistence method brings about huge storage space using, this paper also discusses some methods on how to reduce storage space. Finally, this paper presents an extensive experimental study for the proposed method and gives some interesting directions for future work.

  20. Real-time moving object detection for video monitoring systems

    Institute of Scientific and Technical Information of China (English)

    Wei Zhiqiang; Ji Xiaopeng; Wang Peng

    2006-01-01

    Moving object detection is one of the challenging problems in video monitoring systems, especially when the illumination changes and shadow exists. A method for real-time moving object detection is described. A new background model is proposed to handle the illumination varition problem. With optical flow technology and background subtraction, a moving object is extracted quickly and accurately. An effective shadow elimination algorithm based on color features is used to refine the moving objects. Experimental results demonstrate that the proposed method can update the background exactly and quickly along with the varition of illumination, and the shadow can be eliminated effectively. The proposed algorithm is a real-time one which the foundation for further object recognition and understanding of video monitoring systems.

  1. Effective Density Queries of Continuously Moving Objects

    DEFF Research Database (Denmark)

    Jensen, Christian Søndergaard; Lin, D.; Ooi, B.C.

    2006-01-01

    control system, we need to identify the places that are or would be affected by a traffic jam, and report this information to drivers so that they can choose a less congested route. As a naive way to solve the problem is prohibitively expensive, we first introduce a framework which makes the problem......In this paper, we study a newly emerging type of queries on moving objects - the density query. Basically, this query locates regions in the data space where the density of the objects is high. This type of queries is especially useful in Location Based Services (LBS). For example, in a traffic...

  2. Indexing of Network-Constrained Moving Objects

    DEFF Research Database (Denmark)

    Pfoser, Dieter; Jensen, Christian Søndergaard

    2003-01-01

    With the proliferation of mobile computing, the ability to index efficiently the movements of mobile objects becomes important. Objects are typically seen as moving in two-dimensional (x,y) space, which means that their movements across time may be embedded in the three-dimensional (x,y,t) space...... management systems typically do not offer higher-dimensional indexing, this reduction in dimensionality allows us to use such DBM- Ses to store and index trajectories. Moreover, we argue that, given the right circumstances, indexing these dimensionality-reduced trajectories can be more efficient than using...

  3. Detecting and tracking moving objects from a moving platform using epipolar constraints

    Science.gov (United States)

    McBride, Jonah C.; Ostapchenko, Andrey; Schultz, Howard; Snorrason, Magnus S.

    2010-04-01

    One of the principal challenges in autonomous navigation for mobile ground robots is collision avoidance, especially in dynamic environments featuring both moving and non-moving (static) obstacles. Detecting and tracking moving objects (such as vehicles and pedestrians) presents a particular challenge because all points in the scene are in motion relative to a moving platform. We present a solution for detecting and robustly tracking moving objects from a moving platform. We use a novel epipolar Hough transform to identify points in the scene which do not conform to the geometric constraints of a static scene when viewed from a moving camera. These points can then be analyzed in three different domains: image space, Hough space and world space, allowing redundant clustering and tracking of moving objects. We use a particle filter to model uncertainty in the tracking process and a multiple-hypothesis tracker with lifecycle management to maintain tracks through occlusions and stop-start conditions. The result is a set of detected objects whose position and estimated trajectory are continuously updated for use by path planning and collision avoidance systems. We present results from experiments using a mobile test robot with a forward looking stereo camera navigating among multiple moving objects.

  4. Magnetic levitation system for moving objects

    Science.gov (United States)

    Post, Richard F.

    1998-01-01

    Repelling magnetic forces are produced by the interaction of a flux-concentrated magnetic field (produced by permanent magnets or electromagnets) with an inductively loaded closed electric circuit. When one such element moves with respect to the other, a current is induced in the circuit. This current then interacts back on the field to produce a repelling force. These repelling magnetic forces are applied to magnetically levitate a moving object such as a train car. The power required to levitate a train of such cars is drawn from the motional energy of the train itself, and typically represents only a percent or two of the several megawatts of power required to overcome aerodynamic drag at high speeds.

  5. Salient Points for Tracking Moving Objects in Video

    Energy Technology Data Exchange (ETDEWEB)

    Kamath, C; Gezahegne, A; Newsam, S; Roberts, G M

    2004-12-20

    Detection and tracking of moving objects is important in the analysis of video data. One approach is to maintain a background model of the scene and subtract it from each frame to detect the moving objects which can then be tracked using Kalman or particle filters. In this paper, we consider simple techniques based on salient points to identify moving objects which are tracked using motion correspondence. We focus on video with a large field of view, such as a traffic intersection with several buildings nearby. Such scenes can contain several salient points, not all of which move between frames. Using public domain video and two types of salient points, we consider how to make these techniques computationally efficient for detection and tracking. Our early results indicate that salient regions obtained using the Lowe keypoints algorithm and the Scale-Saliency algorithm can be used successfully to track vehicles in moderate resolution video.

  6. Detection of moving objects using motion- and stereo-tuned operators.

    Science.gov (United States)

    Royden, Constance S; Sannicandro, Sean E; Webber, Laura M

    2015-01-01

    A person moving through the world must be able to identify moving objects in order to interact with them and successfully navigate. While image motion alone is sufficient to identify moving objects under many conditions, there may be some ambiguity as to whether an object is stationary or moving, depending on the object's angle of motion and distance from the observer. Adding a measure of depth from stereo cues can eliminate this ambiguity. Here we show that a model using operators tuned to image motion and stereo disparity can accurately locate moving objects and distinguish between stationary and moving objects in a scene through which an observer is moving.

  7. Model of Large-format EO-IR sensor for calculating the probability of true and false detection and tracking for moving and fixed objects

    Science.gov (United States)

    Korb, Andrew R.; Grossman, Stanley I.

    2015-05-01

    A model was developed to understand the effects of spatial resolution and Signal to Noise ratio on the detection and tracking performance of wide-field, diffraction-limited electro-optic and infrared motion imagery systems. False positive detection probability and false positive rate per frame were calculated as a function of target-to-background contrast and object size. Results showed that moving objects are fundamentally more difficult to detect than stationary objects because SNR for fixed objects increases and false positive probability detection rates diminish rapidly with successive frames whereas for moving objects the false detection rate remains constant or increases with successive frames. The model specifies that the desired performance of a detection system, measured by the false positive detection rate, can be achieved by image system designs with different combinations of SNR and spatial resolution, usually requiring several pixels resolving the object; this capability to tradeoff resolution and SNR enables system design trades and cost optimization. For operational use, detection thresholds required to achieve a particular false detection rate can be calculated. Interestingly, for moderate size images the model converges to the Johnson Criteria. Johnson found that an imaging system with an SNR >3.5 has a probability of detection >50% when the resolution on the object is 4 pixels or more. Under these conditions our model finds the false positive rate is less than one per hundred image frames, and the ratio of the probability of object detection to false positive detection is much greater than one. The model was programmed into Matlab to generate simulated images frames for visualization.

  8. Depth map calculation for a variable number of moving objects using Markov sequential object processes

    NARCIS (Netherlands)

    Lieshout, M.N.M. van

    2008-01-01

    We advocate the use of Markov sequential object processes for tracking a variable number of moving objects through video frames with a view towards depth calculation. A regression model based on a sequential object process quantifies goodness of fit; regularization terms are incorporated to control

  9. Indexing Future Trajectories of Moving Objects in a Constrained Network

    Institute of Scientific and Technical Information of China (English)

    Ji-Dong Chen; Xiao-Feng Meng

    2007-01-01

    Advances in wireless sensor networks and positioning technologies enable new applications monitoring moving objects. Some of these applications, such as traffic management, require the possibility to query the future trajectories of the objects. In this paper, we propose an original data access method, the ANR-tree, which supports predictive queries. We focus on real life environments, where the objects move within constrained networks, such as vehicles on roads. We introduce a simulation-based prediction model based on graphs of cellular automata, which makes full use of the network constraints and the stochastic traffic behavior. Our technique differs strongly from the linear prediction model, which has low prediction accuracy and requires frequent updates when applied to real traffic with velocity changing frequently. The data structure extends the R-tree with adaptive units which group neighbor objects moving in the similar moving patterns. The predicted movement of the adaptive unit is not given by a single trajectory, but instead by two trajectory bounds based on different assumptions on the traffic conditions and obtained from the simulation. Our experiments, carried on two different datasets, show that the ANR-tree is essentially one order of magnitude more efficient than the TPR-tree, and is much more scalable.

  10. Benchmark low-mass objects in Moving Groups

    Directory of Open Access Journals (Sweden)

    Burningham B.

    2013-04-01

    Full Text Available In order to compile a sample of ultracool dwarfs that will serve as benchmarks for testing theoretical formation and evolutionary models, we selected low-mass cool (>M7 objects that are potentially members of five known young Moving Groups in the solar neighbourhood. We have studied the kinematics of the sample, finding that 49 targets belong to the young disk area, from which 36 are kinematic member of one of the five moving groups under study. Some of the identified low-mass members have been spectroscopically characterised (Teff, log g and confirmed as young members through a detailed study of age indicators.

  11. Moving object detection for video surveillance

    National Research Council Canada - National Science Library

    Kalirajan, K; Sudha, M

    2015-01-01

    .... In this paper, a novel approach of object detection for video surveillance is presented. The proposed algorithm consists of various steps including video compression, object detection, and object localization...

  12. Using the Flow-3D General Moving Object Model to Simulate Coupled Liquid Slosh - Container Dynamics on the SPHERES Slosh Experiment: Aboard the International Space Station

    Science.gov (United States)

    Schulman, Richard; Kirk, Daniel; Marsell, Brandon; Roth, Jacob; Schallhorn, Paul

    2013-01-01

    The SPHERES Slosh Experiment (SSE) is a free floating experimental platform developed for the acquisition of long duration liquid slosh data aboard the International Space Station (ISS). The data sets collected will be used to benchmark numerical models to aid in the design of rocket and spacecraft propulsion systems. Utilizing two SPHERES Satellites, the experiment will be moved through different maneuvers designed to induce liquid slosh in the experiment's internal tank. The SSE has a total of twenty-four thrusters to move the experiment. In order to design slosh generating maneuvers, a parametric study with three maneuvers types was conducted using the General Moving Object (GMO) model in Flow-30. The three types of maneuvers are a translation maneuver, a rotation maneuver and a combined rotation translation maneuver. The effectiveness of each maneuver to generate slosh is determined by the deviation of the experiment's trajectory as compared to a dry mass trajectory. To fully capture the effect of liquid re-distribution on experiment trajectory, each thruster is modeled as an independent force point in the Flow-3D simulation. This is accomplished by modifying the total number of independent forces in the GMO model from the standard five to twenty-four. Results demonstrate that the most effective slosh generating maneuvers for all motions occurs when SSE thrusters are producing the highest changes in SSE acceleration. The results also demonstrate that several centimeters of trajectory deviation between the dry and slosh cases occur during the maneuvers; while these deviations seem small, they are measureable by SSE instrumentation.

  13. Real-time detection of moving objects in a dynamic scene from moving robotic vehicles

    Science.gov (United States)

    Ansar, A.; Talukder, S.; Goldberg, L.; Matthies, A.

    2003-01-01

    Dynamic scene perception is currently limited to detection of moving objects from a static platform or scenes with flat backgrounds. We discuss novel methods to segment moving objects in the motion field formed by a moving camera/robotic platform in real time.

  14. Real-time detection of moving objects in a dynamic scene from moving robotic vehicles

    Science.gov (United States)

    Ansar, A.; Talukder, S.; Goldberg, L.; Matthies, A.

    2003-01-01

    Dynamic scene perception is currently limited to detection of moving objects from a static platform or scenes with flat backgrounds. We discuss novel methods to segment moving objects in the motion field formed by a moving camera/robotic platform in real time.

  15. Assessing the Cartographic Visualization of Moving Objects

    African Journals Online (AJOL)

    Bheema

    of complexity, where there is only one object, it is given a green color. At the second .... against the three International Organization for Standardization (ISO) usability measures– ... Failure in the functioning of the software may also happen.

  16. Moving object detection by using GPS assisted image registration method

    Directory of Open Access Journals (Sweden)

    Barış Gökçe

    2016-10-01

    Full Text Available In this study, a Global Positioning System (GPS assistance based system has been developed for unmanned ground vehicles (UGV to detect moving objects along their route using a computer vision system. Before the real time application of the UGV, image models were created that represents a default background in specified horizontal positions of the specified coordinates on the route. This model is a type of feature matrix which is much smaller than the pure image matrices. The model matrices were recorded in the system database and a database relation was created between the model and its coordinate. The feature matrices of the images captured when the moment UGV arrived to the determined coordinates are compared with the models belong to present coordinate. As a result of the evaluation image frames are aligned with 2D image registration methods. The silhouettes of the objects are obtained by subtracting aligned frames. Thus, using this developed approach, there is no need for costly solutions to compensate for the noise generated by the moving camera. It was observed from the experiments that the system was able to detect the objects with 90% accuracy and it was able to run with 8% CPU loading and 0.057 s processing time per frame.

  17. Fuzzy Distance-Based Range Queries over Uncertain Moving Objects

    Institute of Scientific and Technical Information of China (English)

    Yi-Fei Chen; Xiao-Lin Qin; Liang Liu; Bo-Han Li

    2012-01-01

    Data obtained from real world are imprecise or uncertain due to the accuracy of positioning devices,updating protocols or characteristics of applications.On the other hand,users sometimes prefer to qualitatively express their requests with vague conditions and different parts of search region are in-equally important in some applications.We address the problem of efficiently processing the fuzzy range queries for uncertain moving objects whose whereabouts in time are not known exactly,for which the basic syntax is find objects always/sometimes near to the query issuer with the qualifying guarantees no less than a given threshold during a given temporal interval.We model the location uncertainty of moving objects on the utilization of probability density functions and describe the indeterminate boundary of query range with fuzzy set.We present the qualifying guarantee evaluation of objects,and propose pruning techniques based on the α-cut of fuzzy set to shrink the search space efficiently.We also design rules to reject non-qualifying objects and validate qualifying objects in order to avoid unnecessary costly numeric integrations in the refinement step.An extensive empirical study has been conducted to demonstrate the efficiency and effectiveness of algorithms under various experimental settings.

  18. The Power of Objectives: Moving beyond Learning Objectives

    Science.gov (United States)

    Phillips, Jack J.; Phillips, Patti P.

    2010-01-01

    Although the need for project objectives is obvious, their value and role are much broader than most think. In this article, we explore the need for higher levels of objectives, along with tips and techniques to develop them properly. More important, we examine the benefits of objectives from many perspectives. In today's competitive environment,…

  19. Chemistry of dense clumps near moving Herbig-Haro objects

    CERN Document Server

    Christie, Helen; Williams, David; Girart, Josep-Miquel; Morata, Oscar; 10.1111/j.1365-2966.2011.19032.x

    2011-01-01

    Localised regions of enhanced emission from HCO+, NH3 and other species near Herbig-Haro objects (HHOs) have been interpreted as arising in a photochemistry stimulated by the HHO radiation on high density quiescent clumps in molecular clouds. Static models of this process have been successful in accounting for the variety of molecular species arising ahead of the jet; however recent observations show that the enhanced molecular emission is widespread along the jet as well as ahead. Hence, a realistic model must take into account the movement of the radiation field past the clump. It was previously unclear as to whether the short interaction time between the clump and the HHO in a moving source model would allow molecules such as HCO+ to reach high enough levels, and to survive for long enough to be observed. In this work we model a moving radiation source that approaches and passes a clump. The chemical picture is qualitatively unchanged by the addition of the moving source, strengthening the idea that enhanc...

  20. Chemistry of dense clumps near moving Herbig-Haro objects

    Science.gov (United States)

    Christie, H.; Viti, S.; Williams, D. A.; Girart, J. M.; Morata, O.

    2011-09-01

    Localized regions of enhanced emission from HCO+, NH3 and other species near Herbig-Haro objects (HHOs) have been interpreted as arising in a photochemistry stimulated by the HHO radiation on high-density quiescent clumps in molecular clouds. Static models of this process have been successful in accounting for the variety of molecular species arising ahead of the jet; however, recent observations show that the enhanced molecular emission is widespread along the jet as well as ahead. Hence, a realistic model must take into account the movement of the radiation field past the clump. It was previously unclear as to whether the short interaction time between the clump and the HHO in a moving source model would allow molecules such as HCO+ to reach high enough levels, and to survive for long enough to be observed. In this work we model a moving radiation source that approaches and passes a clump. The chemical picture is qualitatively unchanged by the addition of the moving source, strengthening the idea that enhancements are due to evaporation of molecules from dust grains. In addition, in the case of several molecules, the enhanced emission regions are longer lived. Some photochemically induced species, including methanol, are expected to maintain high abundances for ˜104 yr.

  1. Video Based Moving Object Tracking by Particle Filter

    Directory of Open Access Journals (Sweden)

    Md. Zahidul Islam

    2009-03-01

    Full Text Available Usually, the video based object tracking deal with non-stationary image stream that changes over time. Robust and Real time moving object tracking is a problematic issue in computer vision research area. Most of the existing algorithms are able to track only inpredefined and well controlled environment. Some cases, they don’t consider non-linearity problem. In our paper, we develop such a system which considers color information, distance transform (DT based shape information and also nonlinearity. Particle filtering has been proven very successful for non-gaussian and non-linear estimation problems. We examine the difficulties of video based tracking and step by step we analyze these issues. In our firstapproach, we develop the color based particle filter tracker that relies on the deterministic search of window, whose color content matches a reference histogram model. A simple HSV histogram-based color model is used to develop this observation system. Secondly, wedescribe a new approach for moving object tracking with particle filter by shape information. The shape similarity between a template and estimated regions in the video scene is measured by their normalized cross-correlation of distance transformed images. Our observation system of particle filter is based on shape from distance transformed edge features. Template is created instantly by selecting any object from the video scene by a rectangle. Finally, inthis paper we illustrate how our system is improved by using both these two cues with non linearity.

  2. The effect of monocular depth cues on the detection of moving objects by moving observers.

    Science.gov (United States)

    Royden, Constance S; Parsons, Daniel; Travatello, Joshua

    2016-07-01

    An observer moving through the world must be able to identify and locate moving objects in the scene. In principle, one could accomplish this task by detecting object images moving at a different angle or speed than the images of other items in the optic flow field. While angle of motion provides an unambiguous cue that an object is moving relative to other items in the scene, a difference in speed could be due to a difference in the depth of the objects and thus is an ambiguous cue. We tested whether the addition of information about the distance of objects from the observer, in the form of monocular depth cues, aided detection of moving objects. We found that thresholds for detection of object motion decreased as we increased the number of depth cues available to the observer.

  3. Detection and Tracking of Moving Object: A Survey

    Directory of Open Access Journals (Sweden)

    Hemangi R. Patil

    2015-11-01

    Full Text Available Object tracking is the process of locating moving object or multiple objects in sequence of frames. Object tracking is basically a challenging problem. Difficulties in tracking of an object may arise due to abrupt changes in environment, motion of object, noise etc. To overcome such problems different tracking algorithms have been proposed. This paper presents various techniques related to object detection and tracking..The goal of this paper is to present a survey of these techniques.

  4. Representation, Analysis and Visualization of Moving Objects (Dagstuhl Seminar 12512)

    OpenAIRE

    Gudmundsson, Joachim; Laube, Patrick; Van Loon, Emiel

    2013-01-01

    From December 16 to December 21, 2012, the Dagstuhl Seminar 12512 "Representation, Analysis and Visualization of Moving Objects" was held in Schloss Dagstuhl -- Leibniz Center for Informatics. The major goal of this seminar was to bring together the diverse and fast growing, research community that is involved in developing better computational techniques for spatio-temporal object representation, data mining, and visualization of moving object data. The participants included experts from fie...

  5. 10491 Abstracts Collection -- Representation, Analysis and Visualization of Moving Objects

    OpenAIRE

    Sack, Jörg-Rüdiger; Speckmann, Bettina; Van Loon, Emiel; Weibel, Robert

    2011-01-01

    From December 5 to December 10, 2010, the Dagstuhl Seminar 10491 ``Representation, Analysis and Visualization of Moving Objects'' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. The major goal of this seminar has been to bring together the diverse and fast growing, research community that is involved in developing better computational techniques for spatio-temporal object representation, data mining, and visualization massive amounts of moving object data. ...

  6. Moving object detection via low-rank total variation regularization

    Science.gov (United States)

    Wang, Pengcheng; Chen, Qian; Shao, Na

    2016-09-01

    Moving object detection is a challenging task in video surveillance. Recently proposed Robust Principal Component Analysis (RPCA) can recover the outlier patterns from the low-rank data under some mild conditions. However, the l-penalty in RPCA doesn't work well in moving object detection because the irrepresentable condition is often not satisfied. In this paper, a method based on total variation (TV) regularization scheme is proposed. In our model, image sequences captured with a static camera are highly related, which can be described using a low-rank matrix. Meanwhile, the low-rank matrix can absorb background motion, e.g. periodic and random perturbation. The foreground objects in the sequence are usually sparsely distributed and drifting continuously, and can be treated as group outliers from the highly-related background scenes. Instead of l-penalty, we exploit the total variation of the foreground. By minimizing the total variation energy, the outliers tend to collapse and finally converge to be the exact moving objects. The TV-penalty is superior to the l-penalty especially when the outlier is in the majority for some pixels, and our method can estimate the outlier explicitly with less bias but higher variance. To solve the problem, a joint optimization function is formulated and can be effectively solved through the inexact Augmented Lagrange Multiplier (ALM) method. We evaluate our method along with several state-of-the-art approaches in MATLAB. Both qualitative and quantitative results demonstrate that our proposed method works effectively on a large range of complex scenarios.

  7. The effect of monocular depth cues on the detection of moving objects by moving observers

    National Research Council Canada - National Science Library

    Royden, Constance S; Parsons, Daniel; Travatello, Joshua

    2016-01-01

    ... and thus is an ambiguous cue. We tested whether the addition of information about the distance of objects from the observer, in the form of monocular depth cues, aided detection of moving objects...

  8. Detection of moving objects from a moving platform in urban scenes

    NARCIS (Netherlands)

    Haar, F.B. ter; Hollander, R.J.M. den; Dijk, J.

    2010-01-01

    Moving object detection in urban scenes is important for the guidance of autonomous vehicles, robot navigation, and monitoring. In this paper moving objects are automatically detected using three sequential frames and tracked over a longer period. To this extend we modify the plane+parallax, fundame

  9. Detection of moving objects from a moving platform in urban scenes

    NARCIS (Netherlands)

    Haar, F.B. ter; Hollander, R.J.M. den; Dijk, J.

    2010-01-01

    Moving object detection in urban scenes is important for the guidance of autonomous vehicles, robot navigation, and monitoring. In this paper moving objects are automatically detected using three sequential frames and tracked over a longer period. To this extend we modify the plane+parallax,

  10. Development operators on 4D moving object databases

    Institute of Scientific and Technical Information of China (English)

    JUN Sung-woo; LEE Yang-koo; KIM Sang-ho; CHI Jeong-hee; RYU Keun-ho

    2004-01-01

    In this paper we propose four-dimensional (4D) operators, which can be used to deal with sequential changes of topological relationships between 4D moving objects and we call them 4D development operators. In contrast to the existing operators, we can apply the operators to real applications on 4D moving objects. We also propose a new approach to define them. The approach is based on a dimension-separated method, which considers x-y coordinates and z coordinates separately. In order to show the applicability of our operators, we show the algorithms for the proposed operators and development graph between 4D moving objects.

  11. Detecting moving objects in an optic flow field using direction- and speed-tuned operators.

    Science.gov (United States)

    Royden, Constance S; Holloway, Michael A

    2014-05-01

    An observer moving through a scene must be able to identify moving objects. Psychophysical results have shown that people can identify moving objects based on the speed or direction of their movement relative to the optic flow field generated by the observer's motion. Here we show that a model that uses speed- and direction-tuned units, whose responses are based on the response properties of cells in the primate visual cortex, can successfully identify the borders of moving objects in a scene through which an observer is moving.

  12. Nearest and reverse nearest neighbor queries for moving objects

    DEFF Research Database (Denmark)

    Benetis, R.; Jensen, Christian Søndergaard; Karciauskas, G.

    2006-01-01

    With the continued proliferation of wireless communications and advances in positioning technologies, algorithms for efficiently answering queries about large populations of moving objects are gaining in interest. This paper proposes algorithms for k nearest and reverse k nearest neighbor queries...... on the current and anticipated future positions of points moving continuously in the plane. The former type of query returns k objects nearest to a query object for each time point during a time interval, while the latter returns the objects that have a specified query object as one of their k closest neighbors...

  13. Detection of Moving Objects with Fuzzy Color Coherence Vector

    Directory of Open Access Journals (Sweden)

    Yu-Long Qiao

    2014-01-01

    Full Text Available Background subtraction is a popular method for detecting foreground that is widely adopted as the fundamental processing for advanced applications such as tracking and surveillance. Color coherence vector (CCV includes both the color distribution information (histogram and the local spatial relationship information of colors. So it overcomes the weakness of the conventional color histogram for the representation of an object. In this paper, we introduce a fuzzy color coherence vector (FCCV based background subtraction method. After applying the fuzzy c-means clustering to color coherence subvectors and color incoherence subvectors, we develop a region-based fuzzy statistical feature for each pixel based on the fuzzy membership matrices. The features are extracted from consecutive frames to build the background model and detect the moving objects. The experimental results demonstrate the effectiveness of the proposed approach.

  14. Area Variation Based Color Snake Algorithm for Moving Object Tracking

    Institute of Scientific and Technical Information of China (English)

    Shoum-ik ROYCHOUDHURY; Young-joon HAN

    2010-01-01

    A snake algorithm has been known that it has a strong point in extracting the exact contour of an object.But it is apt to be influenced by scattered edges around the control points.Since the shape of a moving object in 2D image changes a lot due ta its rotation and translation in the 3D space,the conventional algorithm that takes into account slowly moving objects cannot provide an appropriate solution.To utilize the advantages of the snake algrithm while minimizing the drawbacks,this paper proposes the area variation based color snake algorithm for moving object tracking.The proposed algorithm includes a new energy term which is used for preserving the shape of an object between two consecutive inages.The proposed one can also segment precisely interesting objects on complex image since it is based on color information.Experiment results show that the proposed algorithm is very effective in various environments.

  15. Real-time Detection of Moving Objects from Moving Vehicles Using Dense Stereo and Optical Flow

    Science.gov (United States)

    Talukder, Ashit; Matthies, Larry

    2004-01-01

    Dynamic scene perception is very important for autonomous vehicles operating around other moving vehicles and humans. Most work on real-time object tracking from moving platforms has used sparse features or assumed flat scene structures. We have recently extended a real-time. dense stereo system to include realtime. dense optical flow, enabling more comprehensive dynamic scene analysis. We describe algorithms to robustly estimate 6-DOF robot egomotion in the presence of moving objects using dense flow and dense stereo. We then use dense stereo and egomotion estimates to identify other moving objects while the robot itself is moving. We present results showing accurate egomotion estimation and detection of moving people and vehicles under general 6DOF motion of the robot and independently moving objects. The system runs at 18.3 Hz on a 1.4 GHz Pentium M laptop. computing 160x120 disparity maps and optical flow fields, egomotion, and moving object segmentation. We believe this is a significant step toward general unconstrained dynamic scene analysis for mobile robots, as well as for improved position estimation where GPS is unavailable.

  16. Applying Moving Objects Patterns towards Estimating Future Stocks Direction

    Directory of Open Access Journals (Sweden)

    Galal Dahab

    2016-01-01

    Full Text Available Stock is gaining vast popularity as a strategic investment tool not just by investor bankers, but also by the average worker. Large capitals are being traded within the stock market all around the world, making its impact not only macro economically focused, but also greatly valued taking into consideration its direct social impact. As a result, almost 66% of all American citizens are striving in their respective fields every day, trying to come up with better ways to predict and find patterns in stocks that could enhance their estimation and visualization so as to have the opportunity to take better investment decisions. Given the amount of effort that has been put into enhancing stock prediction techniques, there is still a factor that is almost completely neglected when handling stocks. The factor that has been obsolete for so long is in fact the effect of a correlation existing between stocks of the same index or parent company. This paper proposes a distinct approach for studying the correlation between stocks that belong to the same index by modelling stocks as moving objects to be able to track their movements while considering their relationships. Furthermore, it studies one of the movement techniques applied to moving objects to predict stock movement. The results yielded that both the movement technique and correlation coefficient technique are consistent in directions, with minor variations in values. The variations are attributed to the fact that the movement technique takes into consideration the sibling relationship

  17. Indexing large moving objects from past to future with PCFI

    Institute of Scientific and Technical Information of China (English)

    LIU Zhao-hong; LEE Chung-ho; GE Jun-wei; BAE Hae-young

    2004-01-01

    In moving object database, the moving objects' current position must be kept in memory, also to the trajectory, in some case, as same as the future. But the current existing indexes such as SEB-tree, SETI-tree, 2+3R-tree, 2-3RT-tree and etc. can only provide the capability for past and current query, and the TPR-Tree, TPR*-Tree and etc.can only provide the capability for current and future query. None of them can provide a strategy for indexing the past, current and also the future information of moving objects.In this paper, we propose the past-current-future Index (PCFI-Index) to index the past,current & future information of the moving objects. It is the combination of SETI-tree and TPR*-tree, the SETI liking index is used for indexing the historical trajectory segments except the front line structure, and the moving objects' current positions, velocities are indexed via the in-memory frontline structure which mainly implemented with TPR*-tree.Considering the large update operations on TPR-tree of large population, a hash table considering cache sensitivity is also introduced. It works with the frontline part, leading a bottom-up update of the tree. The performance analysis proves that the PCFI-index can handle most of the query efficiently and provides a uniform solution for the trajectory query, time-slice query, internal query and moving query.

  18. Automatic moving object extraction toward compact video representation

    Science.gov (United States)

    Fan, Jianping; Fujita, Gen; Furuie, Makoto; Onoye, Takao; Shirakawa, Isao; Wu, Lide

    2000-02-01

    An automatic object-oriented video segmentation and representation algorithm is proposed, where the local variance contrast and the frame differences contrast are jointly exploited for meaningful moving object extinction because these two visual features can indicate the spatial homogeneity of the gray levels and the temporal coherence of the motion fields efficiently. The 2D entropic thresholding technique and the watershed transformation method are further developed to determine the global feature thresholds adaptively according to the variation of the video components. The obtained video components are first represented by a group of 4 X 4 blocks coarsely, and then the meaningful moving objects are generated by an iterative region-merging procedure according to the spatiotemporal similarity measure. The temporal tracking procedure is further proposed to obtain more semantic moving objects among frames. Therefore, the proposed automatic moving object extraction algorithm can detect the appearance of new objects as well as the disappearance of existing objects efficiently because the correspondence of the video objects among frames is also established. Moreover, an object- oriented video representation and indexing approach is suggested, where both the operation of the camera (i.e., change of the viewpoint) and the birth or death of the individual objects are exploited to detect the breakpoints of the video data and to select the key frames adaptively.

  19. Error analysis of motion correction method for laser scanning of moving objects

    OpenAIRE

    S. Goel; Lohani, B.

    2014-01-01

    The limitation of conventional laser scanning methods is that the objects being scanned should be static. The need of scanning moving objects has resulted in the development of new methods capable of generating correct 3D geometry of moving objects. Limited literature is available showing development of very few methods capable of catering to the problem of object motion during scanning. All the existing methods utilize their own models or sensors. Any studies on error modelling or a...

  20. A NOVEL FAST MOVING OBJECT CONTOUR TRACKING ALGORITHM

    Institute of Scientific and Technical Information of China (English)

    An Guocheng; Yang Hao; Wu Zhenyang

    2009-01-01

    If a somewhat fast moving object exists in a complicated tracking environment, snake's nodes may fall into the inaccurate local minima. We propose a mean shift snake algorithm to solve this problem. However, if the object goes beyond the limits of mean shift snake module operation in successive sequences, mean shift snake's nodes may also fall into the local minima in their moving to the new object position. This paper presents a motion compensation strategy by using particle filter; therefore a new Particle Filter Mean Shift Snake (PFMSS) algorithm is proposed which combines particle filter with mean shift snake to fulfill the estimation of the fast moving object contour. Firstly, the fast moving object is tracked by particle filter to create a coarse position which is used to initialize the mean shift algorithm. Secondly, the whole relevant motion information is used to compensate the snake's node positions. Finally, snake algorithm is used to extract the exact object contour and the useful information of the object is fed back. Some real world sequences are tested and the results show that the novel tracking method have a good performance with high accuracy in solving the fast moving problems in cluttered background.

  1. TRAX - Real-World Tracking of Moving Objects

    DEFF Research Database (Denmark)

    Jensen, Christian Søndergaard; Pakalnis, Stardas

    2007-01-01

    accuracy. This paper presents the TRAX tracking system that supports several techniques capable of tracking the current positions of moving objects with guaranteed accuracies at low update and communication costs in real-world settings. The techniques are readily relevant for practical applications......Range of mobile services rely on knowing the current positions of populations of so-called moving objects. In the ideal setting, the positions of all objects are known always and exactly. While this is not possible in practice, it is possible to know each object's position with a certain guaranteed......, but they also have implications for continued research. The tracking techniques offer a realistic setting for existing query processing techniques that assume that it is possible to always know the exact positions of moving objects. The techniques enable studies of trade-offs between querying and update...

  2. A Dedicated Genetic Algorithm for Localization of Moving Magnetic Objects

    Directory of Open Access Journals (Sweden)

    Roger Alimi

    2015-09-01

    Full Text Available A dedicated Genetic Algorithm (GA has been developed to localize the trajectory of ferromagnetic moving objects within a bounded perimeter. Localization of moving ferromagnetic objects is an important tool because it can be employed in situations when the object is obscured. This work is innovative for two main reasons: first, the GA has been tuned to provide an accurate and fast solution to the inverse magnetic field equations problem. Second, the algorithm has been successfully tested using real-life experimental data. Very accurate trajectory localization estimations were obtained over a wide range of scenarios.

  3. Performance evaluation software moving object detection and tracking in videos

    CERN Document Server

    Karasulu, Bahadir

    2013-01-01

    Performance Evaluation Software: Moving Object Detection and Tracking in Videos introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in moving object detection and/or tracking (D&T) in video processing. Digital video content analysis is an important item for multimedia content-based indexing (MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are some frequently-used generic algorithms for video object D&T in the literature, such as Background Subtraction (BS), Continuously Adaptive Mean-shift (CMS),

  4. Numerical method for a moving solid object in flows.

    Science.gov (United States)

    Yokoi, Kensuke

    2003-04-01

    We propose a numerical method for dealing with a moving solid body that interacts with a complex liquid surface. The method is based on the level set method, the CIP method, and the ghost fluid method. The validity of the method was shown by applying it to Poiseuille and Couette flow problems. The method can precisely capture the boundary layer as well as a moving solid object.

  5. Mining Long, Sharable Patterns in Trajectories of Moving Objects

    DEFF Research Database (Denmark)

    Gidofalvi, Gyozo; Pedersen, Torben Bach

    2009-01-01

    if they are long and sharable, i.e., can potentially be shared by several users. This paper presents a database projection based method for efficiently extracting such long, sharable frequent routes. The method prunes the search space by making use of the minimum length and sharable requirements and avoids......-temporal rules. When the items in the baskets are spatio-temporal identifiers and are derived from trajectories of moving objects, the discovered rules represent frequently travelled routes. For some applications, e.g., an intelligent ridesharing application, these frequent routes are only interesting...... the generation of the exponential number of sub-routes of long routes. Considering alternative modelling options for trajectories, leads to the development of two effective variants of the method. SQL-based implementations are described, and extensive experiments on both real life- and large-scale synthetic data...

  6. Unidentified Moving Objects in Next Generation Time Domain Surveys

    CERN Document Server

    Davenport, James R A

    2013-01-01

    Existing and future wide-field photometric surveys will produce a time-lapse movie of the sky that will revolutionize our census of variable and moving astronomical and atmospheric phenomena. As with any revolution in scientific measurement capability, this new species of data will also present us with results that are sure to surprise and confound our understanding of the cosmos. While we cannot predict the unknown yields of such endeavors, it is a beneficial exercise to explore certain parameter spaces using reasonable assumptions for rates and observability. To this end I present a simple parameterized model of the detectability of unidentified flying objects (UFOs) with the Large Synoptic Survey Telescope (LSST). I also demonstrate that the LSST is well suited to place the first systematic constraints on the rate of UFO and extraterrestrial visits to our world.

  7. Real time moving object detection using motor signal and depth map for robot car

    Science.gov (United States)

    Wu, Hao; Siu, Wan-Chi

    2013-12-01

    Moving object detection from a moving camera is a fundamental task in many applications. For the moving robot car vision, the background movement is 3D motion structure in nature. In this situation, the conventional moving object detection algorithm cannot be use to handle the 3D background modeling effectively and efficiently. In this paper, a novel scheme is proposed by utilizing the motor control signal and depth map obtained from a stereo camera to model the perspective transform matrix between different frames under a moving camera. In our approach, the coordinate relationship between frames during camera moving is modeled by a perspective transform matrix which is obtained by using current motor control signals and the pixel depth value. Hence, the relationship between a static background pixel and the moving foreground corresponding to the camera motion can be related by a perspective matrix. To enhance the robustness of classification, we allowed a tolerance range during the perspective transform matrix prediction and used multi-reference frames to classify the pixel on current frame. The proposed scheme has been found to be able to detect moving objects for our moving robot car efficiently. Different from conventional approaches, our method can model the moving background in 3D structure, without online model training. More importantly, the computational complexity and memory requirement are low making it possible to implement this scheme in real-time, which is even valuable for a robot vision system.

  8. A Benchmark for Evaluating Moving Object Indexes

    DEFF Research Database (Denmark)

    Chen, Su; Jensen, Christian Søndergaard; Lin, Dan

    2008-01-01

    that targets techniques for the indexing of the current and near-future positions of moving objects. This benchmark enables the comparison of existing and future indexing techniques. It covers important aspects of such indexes that have not previously been covered by any benchmark. Notable aspects covered...... include update efficiency, query efficiency, concurrency control, and storage requirements. Next, the paper applies the benchmark to half a dozen notable moving-object indexes, thus demonstrating the viability of the benchmark and offering new insight into the performance properties of the indexes....

  9. Real-time detection of moving objects in video sequences

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    An approach to detection of moving objects in video sequences, with application to video surveillance is presented. The algorithm combines two kinds of change points, which are detected from the region-based frame difference and adjusted background subtraction. An adaptive threshold technique is employed to automatically choose the threshold value to segment the moving objects from the still background. And experiment results show that the algorithm is effective and efficient in practical situations. Furthermore, the algorithm is robust to the effects of the changing of lighting condition and can be applied for video surveillance system.

  10. A trajectory and orientation reconstruction method for moving objects based on a moving monocular camera.

    Science.gov (United States)

    Zhou, Jian; Shang, Yang; Zhang, Xiaohu; Yu, Wenxian

    2015-03-09

    We propose a monocular trajectory intersection method to solve the problem that a monocular moving camera cannot be used for three-dimensional reconstruction of a moving object point. The necessary and sufficient condition of when this method has the unique solution is provided. An extended application of the method is to not only achieve the reconstruction of the 3D trajectory, but also to capture the orientation of the moving object, which would not be obtained by PnP problem methods due to lack of features. It is a breakthrough improvement that develops the intersection measurement from the traditional "point intersection" to "trajectory intersection" in videometrics. The trajectory of the object point can be obtained by using only linear equations without any initial value or iteration; the orientation of the object with poor conditions can also be calculated. The required condition for the existence of definite solution of this method is derived from equivalence relations of the orders of the moving trajectory equations of the object, which specifies the applicable conditions of the method. Simulation and experimental results show that it not only applies to objects moving along a straight line, or a conic and another simple trajectory, but also provides good result for more complicated trajectories, making it widely applicable.

  11. The research of moving object detection based on background difference compensation

    Science.gov (United States)

    Song, Yan-bin; Ying, Jie; Lu, Lin-li

    2013-08-01

    Moving object detection was implemented in dynamic background based on background difference compensation. Background differential can effectively segment the moving object in static background. But in moving video, the camera motion causes corresponding movement of the target and background, which makes the prospect moving object hard to separate from the background. In order to detect moving object, we can compensate the movement of the background and transfer the dynamic background to static. Moving object detection in static background image was implemented using a new weights updating method that the weights were updated during a certain period. This method based on classical Gaussian mixture model improved the efficiency of image segmentation greatly. Moving object detection in dynamic background was realized using background differential compensation. The global motion of the background was established according to the affined parameters model. The model parameters were estimated by feature points matching based on the search strategy. Invalid matching points were eliminated using the method of distance consistency. Backward mapping was used to get the motion parameters of the background. After compensation of the background with the global motion parameters, frame difference between the current frame and the background can detect moving objects effectively. Experiments were done on computer with the programming tools of VS2010 and MATLAB. Experimental results showed that the algorithm based on differential compensation was effective.

  12. Artifacts in computed tomography scanning of moving objects.

    Science.gov (United States)

    Chen, George T Y; Kung, Jong H; Beaudette, Kevin P

    2004-01-01

    Target volumes in the thorax and abdomen are commonly computed tomography (CT) scanned during light respiration. In this article, we analyze the distortions introduced in helical scanning of moving objects. Objects of known geometry are placed on a moving sled and scanned in a multirow helical CT scanner. The motion of the sled approximates the magnitude and velocity of organ movement in patients during light respiration (amplitude 1 cm, period 4 seconds). Scans of the phantom are obtained in high speed mode at incremental phases of respiration, and the resulting images are compared with scans obtained when the phantom is static. Computer simulations of the scan process are also performed to interpret the results and extend the analysis to a greater range of parameters in scanning, motion, and object size. Resulting scans show that spherical test objects can be shortened by as much as 2 cm or twice the periodic motion amplitude. Object shape was significantly distorted, and the geometric center of the object was displaced by as much as +/-0.8 cm. Computer simulation results qualitatively agree with the experimentally observed phantom images. These simulations predict that the effect is clearly observable even if the amplitude is decreased to 0.5 cm. Implications of scanning moving objects on treatment planning are discussed.

  13. Mapping and tracking of moving objects in dynamic environments

    CSIR Research Space (South Africa)

    Pancham, A

    2012-10-01

    Full Text Available In order for mobile robots to operate in dynamic or real world environments they must be able to localise themselves while building a map of the environment, and detect and track moving objects. This work involves the research and implementation...

  14. Moving object detection and tracking in videos through turbulent medium

    Science.gov (United States)

    Halder, Kalyan Kumar; Tahtali, Murat; Anavatti, Sreenatha G.

    2016-06-01

    This paper addresses the problem of identifying and tracking moving objects in a video sequence having a time-varying background. This is a fundamental task in many computer vision applications, though a very challenging one because of turbulence that causes blurring and spatiotemporal movements of the background images. Our proposed approach involves two major steps. First, a moving object detection algorithm that deals with the detection of real motions by separating the turbulence-induced motions using a two-level thresholding technique is used. In the second step, a feature-based generalized regression neural network is applied to track the detected objects throughout the frames in the video sequence. The proposed approach uses the centroid and area features of the moving objects and creates the reference regions instantly by selecting the objects within a circle. Simulation experiments are carried out on several turbulence-degraded video sequences and comparisons with an earlier method confirms that the proposed approach provides a more effective tracking of the targets.

  15. Moving object localization using optical flow for pedestrian detection from a moving vehicle.

    Science.gov (United States)

    Hariyono, Joko; Hoang, Van-Dung; Jo, Kang-Hyun

    2014-01-01

    This paper presents a pedestrian detection method from a moving vehicle using optical flows and histogram of oriented gradients (HOG). A moving object is extracted from the relative motion by segmenting the region representing the same optical flows after compensating the egomotion of the camera. To obtain the optical flow, two consecutive images are divided into grid cells 14 × 14 pixels; then each cell is tracked in the current frame to find corresponding cell in the next frame. Using at least three corresponding cells, affine transformation is performed according to each corresponding cell in the consecutive images, so that conformed optical flows are extracted. The regions of moving object are detected as transformed objects, which are different from the previously registered background. Morphological process is applied to get the candidate human regions. In order to recognize the object, the HOG features are extracted on the candidate region and classified using linear support vector machine (SVM). The HOG feature vectors are used as input of linear SVM to classify the given input into pedestrian/nonpedestrian. The proposed method was tested in a moving vehicle and also confirmed through experiments using pedestrian dataset. It shows a significant improvement compared with original HOG using ETHZ pedestrian dataset.

  16. Automated tracking and grasping of a moving object with a robotic hand-eye system

    Energy Technology Data Exchange (ETDEWEB)

    Allen, P.K.; Timcenko, A.; Yoshimi, B.; Michelman, P. (Columbia Univ., NY (United States). Dept. of Computer Science)

    1993-04-01

    Most robotic grasping tasks assume a stationary or fixed object. In this paper, the authors explore the requirements for tracking and grasping a moving object. The focus of the work is to achieve a high level of interaction between a real-time vision system capable of tracking moving objects in 3-D and a robot arm with gripper that can be used to pick up a moving object. There is an interest in exploring the interplay of hand--eye coordination for dynamic grasping takes such as grasping of parts on a moving conveyor system, assembly of articulated parts, or for grasping from a mobile robotic system. Coordination between an organisms sensing modalities and motor control system is a hallmark of intelligent behavior, and they are pursuing the goal of building an integrated sensing and actuation system that can operate in dynamic as opposed to static environments. The system they have built addresses three distinct problems in robotic hand--eye coordination for grasping moving objects: fast computation of 3-D motion parameters from vision, predictive control of a moving robotic arm to track a moving object, and interception and grasping. The system is able to operate at approximately human arm movement rates, and experimental results in which a moving model train is tracked is presented, stably grasped, and picked up by the system. The algorithms they have developed that relate sensing to actuation are quite general and applicable to a variety of complex robotic tasks that require visual feedback for arm and hand control.

  17. Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

    Institute of Scientific and Technical Information of China (English)

    LEE Hyun-jin; SIM Tai-jung; JANG Yong-ll; PARK Soon-young; BAE Hae-young

    2004-01-01

    Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.

  18. Moving object detection in aerial video based on spatiotemporal saliency

    Institute of Scientific and Technical Information of China (English)

    Shen Hao; Li Shuxiao; Zhu Chengfei; Chang Hongxing; Zhang Jinglan

    2013-01-01

    In this paper, the problem of moving object detection in aerial video is addressed. While motion cues have been extensively exploited in the literature, how to use spatial information is still an open problem. To deal with this issue, we propose a novel hierarchical moving target detection method based on spatiotemporal saliency. Temporal saliency is used to get a coarse segmentation, and spatial saliency is extracted to obtain the object’s appearance details in candidate motion regions. Finally, by combining temporal and spatial saliency information, we can get refined detec-tion results. Additionally, in order to give a full description of the object distribution, spatial sal-iency is detected in both pixel and region levels based on local contrast. Experiments conducted on the VIVID dataset show that the proposed method is efficient and accurate.

  19. Does area V3A predict positions of moving objects?

    Directory of Open Access Journals (Sweden)

    Gerrit W Maus

    2010-11-01

    Full Text Available A gradually fading moving object is perceived to disappear at positions beyond its luminance detection threshold, whereas abrupt offsets are usually localised accurately. What role does retinotopic activity in visual cortex play in this motion-induced mislocalization of the endpoint of fading objects? Using functional magnetic resonance imaging (fMRI, we localised regions of interest (ROIs in retinotopic maps abutting the trajectory endpoint of a bar moving either towards or away from this position while gradually decreasing or increasing in luminance. Area V3A showed predictive activity, with stronger fMRI responses for motion towards versus away from the ROI. This effect was independent of the change in luminance. In Area V1 we found higher activity for high-contrast onsets and offsets near the ROI, but no significant differences between motion directions. We suggest that perceived final positions of moving objects are based on an interplay of predictive position representations in higher motion-sensitive retinotopic areas and offset transients in primary visual cortex.

  20. The Pan-STARRS Moving Object Processing System

    CERN Document Server

    Denneau, Larry; Grav, Tommy; Granvik, Mikael; Kubica, Jeremy; Milani, Andrea; Veres, Peter; Wainscoat, Richard; Chang, Daniel; Pierfederici, Francesco; Kaiser, N; Chambers, K C; Heasley, J N; Magnier, Eugene A; Price, P A; Myers, Jonathan; Kleyna, Jan; Hsieh, Henry; Farnocchia, Davide; Waters, Chris; Sweeney, W H; Green, Denver; Bolin, Bryce; Burgett, W S; Morgan, J S; Tonry, John L; Hodapp, K W; Chastel, Serge; Chesley, Steve; Fitzsimmons, Alan; Holman, Matthew; Spahr, Tim; Tholen, David; Williams, Gareth V; Abe, Shinsuke; Armstrong, J D; Bressi, Terry H; Holmes, Robert; Lister, Tim; McMillan, Robert S; Micheli, Marco; Ryan, Eileen V; Ryan, William H; Scotti, James V

    2013-01-01

    We describe the Pan-STARRS Moving Object Processing System (MOPS), a modern software package that produces automatic asteroid discoveries and identifications from catalogs of transient detections from next-generation astronomical survey telescopes. MOPS achieves > 99.5% efficiency in producing orbits from a synthetic but realistic population of asteroids whose measurements were simulated for a Pan-STARRS4-class telescope. Additionally, using a non-physical grid population, we demonstrate that MOPS can detect populations of currently unknown objects such as interstellar asteroids. MOPS has been adapted successfully to the prototype Pan-STARRS1 telescope despite differences in expected false detection rates, fill-factor loss and relatively sparse observing cadence compared to a hypothetical Pan-STARRS4 telescope and survey. MOPS remains >99.5% efficient at detecting objects on a single night but drops to 80% efficiency at producing orbits for objects detected on multiple nights. This loss is primarily due to co...

  1. Analysis of Greedy Decision Making for Geographic Routing for Networks of Randomly Moving Objects

    Directory of Open Access Journals (Sweden)

    Amber Israr

    2016-04-01

    Full Text Available Autonomous and self-organizing wireless ad-hoc communication networks for moving objects consist of nodes, which use no centralized network infrastructure. Examples of moving object networks are networks of flying objects, networks of vehicles, networks of moving people or robots. Moving object networks have to face many critical challenges in terms of routing because of dynamic topological changes and asymmetric networks links. A suitable and effective routing mechanism helps to extend the deployment of moving nodes. In this paper an attempt has been made to analyze the performance of the Greedy Decision method (position aware distance based algorithm for geographic routing for network nodes moving according to the random waypoint mobility model. The widely used GPSR (Greedy Packet Stateless Routing protocol utilizes geographic distance and position based data of nodes to transmit packets towards destination nodes. In this paper different scenarios have been tested to develop a concrete set of recommendations for optimum deployment of distance based Greedy Decision of Geographic Routing in randomly moving objects network

  2. A Tool for Optimizing Observation Planning for Faint Moving Objects

    Science.gov (United States)

    Arredondo, Anicia; Bosh, Amanda S.; Levine, Stephen

    2016-10-01

    Observations of small solar system bodies such as trans-Neptunian objects and Centaurs are vital for understanding the basic properties of these small members of our solar system. Because these objects are often very faint, large telescopes and long exposures may be necessary, which can result in crowded fields in which the target of interest may be blended with a field star. For accurate photometry and astrometry, observations must be planned to occur when the target is free of background stars; this restriction results in limited observing windows. We have created a tool that can be used to plan observations of faint moving objects. Features of the tool include estimates of best times to observe (when the object is not too near another object), a finder chart output, a list of possible astrometric and photometric reference stars, and an exposure time calculator. This work makes use of the USNOFS Image and Catalogue Archive operated by the United States Naval Observatory, Flagstaff Station (S.E. Levine and D.G. Monet 2000), the JPL Horizons online ephemeris service (Giorgini et al. 1996), the Minor Planet Center's MPChecker (http://cgi.minorplanetcenter.net/cgi-bin/checkmp.cgi), and source extraction software SExtractor (Bertin & Arnouts 1996). Support for this work was provided by NASA SSO grant NNX15AJ82G.

  3. ON THE COLLISION DETECTION PROBLEM OF TWO MOVING OBJECTS DESCRIBED BY ALGEBRAIC SETS

    Institute of Scientific and Technical Information of China (English)

    Shurong LI; Chunwang HOU

    2007-01-01

    In this paper,the collision problem of two moving objects is investigated.The objects are described by two algebraic sets(ellipses or circles in the paper).The collision problem discussed involves both static and dynamic case.The static case is that each object moves with known velocity.We use nonlinear programming to decide whether the objects collide.The dynamic case is that each object is controlled by a constraint external force which can be regulated online.For the dynamic case,the collision problem can be modelled as a Minmax problem which can be solved by using differential games.If collision occurs,the time and place of the first collision are given.The moving trajectories are provided in the paper.

  4. Accurate location estimation of moving object In Wireless Sensor network

    Directory of Open Access Journals (Sweden)

    Vinay Bhaskar Semwal

    2011-12-01

    Full Text Available One of the central issues in wirless sensor networks is track the location, of moving object which have overhead of saving data, an accurate estimation of the target location of object with energy constraint .We do not have any mechanism which control and maintain data .The wireless communication bandwidth is also very limited. Some field which is using this technique are flood and typhoon detection, forest fire detection, temperature and humidity and ones we have these information use these information back to a central air conditioning and ventilation.In this research paper, we propose protocol based on the prediction and adaptive based algorithm which is using less sensor node reduced by an accurate estimation of the target location. We had shown that our tracking method performs well in terms of energy saving regardless of mobility pattern of the mobile target. We extends the life time of network with less sensor node. Once a new object is detected, a mobile agent will be initiated to track the roaming path of the object.

  5. The temporal dynamics of heading perception in the presence of moving objects.

    Science.gov (United States)

    Layton, Oliver W; Fajen, Brett R

    2016-01-01

    Many forms of locomotion rely on the ability to accurately perceive one's direction of locomotion (i.e., heading) based on optic flow. Although accurate in rigid environments, heading judgments may be biased when independently moving objects are present. The aim of this study was to systematically investigate the conditions in which moving objects influence heading perception, with a focus on the temporal dynamics and the mechanisms underlying this bias. Subjects viewed stimuli simulating linear self-motion in the presence of a moving object and judged their direction of heading. Experiments 1 and 2 revealed that heading perception is biased when the object crosses or almost crosses the observer's future path toward the end of the trial, but not when the object crosses earlier in the trial. Nonetheless, heading perception is not based entirely on the instantaneous optic flow toward the end of the trial. This was demonstrated in Experiment 3 by varying the portion of the earlier part of the trial leading up to the last frame that was presented to subjects. When the stimulus duration was long enough to include the part of the trial before the moving object crossed the observer's path, heading judgments were less biased. The findings suggest that heading perception is affected by the temporal evolution of optic flow. The time course of dorsal medial superior temporal area (MSTd) neuron responses may play a crucial role in perceiving heading in the presence of moving objects, a property not captured by many existing models.

  6. The phenomenology of controlling a moving object with another person.

    Science.gov (United States)

    Dewey, John A; Pacherie, Elisabeth; Knoblich, Guenther

    2014-09-01

    The phenomenology of controlling what one perceives is influenced by a combination of sensory predictions and inferential processes. While it is known that external perturbations can reduce the sense of control over action effects, there have been few studies investigating the impact of intentional co-actors on the sense of control. In three experiments, we investigated how individuals' judgments of control (JoC) over a moving object were influenced by sharing control with a second person. Participants used joysticks to keep a cursor centered on a moving target either alone or with a co-actor. When both participants' actions had similar perceptual consequences, JoC ratings were highest when self-generated movements were the only influence on the cursor, while the appearance of sharing control with a second person decreased JoC ratings. By contrast, when participants performed complementary actions with perceptually distinctive consequences, JoC ratings were highest when both participants were able to influence the cursor. The phenomenology of control during joint action is influenced by low-level visuomotor correlations, the presence of competing causal influences, and group-level performance.

  7. Orthopteran DCMD neuron: a reevaluation of responses to moving objects. I. Selective responses to approaching objects.

    Science.gov (United States)

    Rind, F C; Simmons, P J

    1992-11-01

    1. The "descending contralateral movement detector" (DCMD) neuron in the locust has been challenged with a variety of moving stimuli, including scenes from a film (Star Wars), moving disks, and images generated by computer. The neuron responds well to any rapid movement. For a dark object moving along a straight path at a uniform velocity, the DCMD gives the strongest response when the object travels directly toward the eye, and the weakest when the object travels away from the eye. Instead of expressing selectivity for movements of small rather than large objects, the DCMD responds preferentially to approaching objects. 2. The neuron shows a clear selectivity for approach over recession for a variety of sizes and velocities of movement both of real objects and in simulated movements. When a disk that subtends > or = 5 degrees at the eye approaches the eye, there are two peaks in spike rate: one immediately after the start of movement; and a second that builds up during the approach. When a disk recedes from the eye, there is a single peak in response as the movement starts. There is a good correlation between spike rate and angular acceleration of the edges of the image over the eye. 3. When an object approaches from a distance sufficient for it to subtend less than one interommatidial angle at the start of its approach, there is a single peak in response. The DCMD tracks the approach, and, if the object moves at 1 m/s or faster, the spike rate increases throughout the duration of object movement. The size of the response depends on the speed of approach. 4. It is unlikely that the DCMD encodes the time to collision accurately, because the response depends on the size as well as the velocity of an approaching object. 5. Wide-field movements suppress the response to an approaching object. The suppression varies with the temporal frequency of the background pattern. 6. Over a wide range of contrasts of object against background, the DCMD gives a stronger response to

  8. A freely-moving monkey treadmill model

    Science.gov (United States)

    Foster, Justin D.; Nuyujukian, Paul; Freifeld, Oren; Gao, Hua; Walker, Ross; Ryu, Stephen I.; Meng, Teresa H.; Murmann, Boris; Black, Michael J.; Shenoy, Krishna V.

    2014-08-01

    Objective. Motor neuroscience and brain-machine interface (BMI) design is based on examining how the brain controls voluntary movement, typically by recording neural activity and behavior from animal models. Recording technologies used with these animal models have traditionally limited the range of behaviors that can be studied, and thus the generality of science and engineering research. We aim to design a freely-moving animal model using neural and behavioral recording technologies that do not constrain movement. Approach. We have established a freely-moving rhesus monkey model employing technology that transmits neural activity from an intracortical array using a head-mounted device and records behavior through computer vision using markerless motion capture. We demonstrate the flexibility and utility of this new monkey model, including the first recordings from motor cortex while rhesus monkeys walk quadrupedally on a treadmill. Main results. Using this monkey model, we show that multi-unit threshold-crossing neural activity encodes the phase of walking and that the average firing rate of the threshold crossings covaries with the speed of individual steps. On a population level, we find that neural state-space trajectories of walking at different speeds have similar rotational dynamics in some dimensions that evolve at the step rate of walking, yet robustly separate by speed in other state-space dimensions. Significance. Freely-moving animal models may allow neuroscientists to examine a wider range of behaviors and can provide a flexible experimental paradigm for examining the neural mechanisms that underlie movement generation across behaviors and environments. For BMIs, freely-moving animal models have the potential to aid prosthetic design by examining how neural encoding changes with posture, environment and other real-world context changes. Understanding this new realm of behavior in more naturalistic settings is essential for overall progress of basic

  9. EFFICIENT IMPLEMENTATION OF 3D FILTER FOR MOVING OBJECT EXTRACTION

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    In this paper the design and implementation of Multi-Dimensional (MD) filter, particularly 3-Dimensional (3D) filter, are presented. Digital (discrete domain) filters applied to image and video signal processing using the novel 3D multirate algorithms for efficient implementation of moving object extraction are engineered with an example. The multirate (decimation and/or interpolation) signal processing algorithms can achieve significant savings in computation and memory usage. The proposed algorithm uses the mapping relations of z-transfer functions between non-multirate and multirate mathematical expressions in terms of time-varying coefficient instead of traditional polyphase decomposition counterparts. The mapping properties can be readily used to efficiently analyze and synthesize MD multirate filters.

  10. Mining Long, Sharable Patterns in Trajectories of Moving Objects

    DEFF Research Database (Denmark)

    Gidofalvi, Gyozo; Pedersen, Torben Bach

    2006-01-01

    if they are long and sharable, i.e., can potentially be shared by several users. This paper presents a database projection based method for efficiently extracting such long, sharable requent routes. The method prunes the search space by making use of the minimum length and sharable requirements and avoids......–temporal rules. When the items in the baskets are spatio–temporal identifiers and are derived from trajectories of moving objects, the discovered rules represent frequently travelled routes. For some applications, e.g., an intelligent ridesharing application, these frequent routes are only interesting...... the generation of the exponential number of subroutes of long routes. A SQL–based implementation is described, and experiments on real life data show the effectiveness of the method....

  11. Robot Acting on Moving Bodies (RAMBO): Interaction with tumbling objects

    Science.gov (United States)

    Davis, Larry S.; Dementhon, Daniel; Bestul, Thor; Ziavras, Sotirios; Srinivasan, H. V.; Siddalingaiah, Madhu; Harwood, David

    1989-01-01

    Interaction with tumbling objects will become more common as human activities in space expand. Attempting to interact with a large complex object translating and rotating in space, a human operator using only his visual and mental capacities may not be able to estimate the object motion, plan actions or control those actions. A robot system (RAMBO) equipped with a camera, which, given a sequence of simple tasks, can perform these tasks on a tumbling object, is being developed. RAMBO is given a complete geometric model of the object. A low level vision module extracts and groups characteristic features in images of the object. The positions of the object are determined in a sequence of images, and a motion estimate of the object is obtained. This motion estimate is used to plan trajectories of the robot tool to relative locations rearby the object sufficient for achieving the tasks. More specifically, low level vision uses parallel algorithms for image enhancement by symmetric nearest neighbor filtering, edge detection by local gradient operators, and corner extraction by sector filtering. The object pose estimation is a Hough transform method accumulating position hypotheses obtained by matching triples of image features (corners) to triples of model features. To maximize computing speed, the estimate of the position in space of a triple of features is obtained by decomposing its perspective view into a product of rotations and a scaled orthographic projection. This allows use of 2-D lookup tables at each stage of the decomposition. The position hypotheses for each possible match of model feature triples and image feature triples are calculated in parallel. Trajectory planning combines heuristic and dynamic programming techniques. Then trajectories are created using dynamic interpolations between initial and goal trajectories. All the parallel algorithms run on a Connection Machine CM-2 with 16K processors.

  12. The research of moving objects behavior detection and tracking algorithm in aerial video

    Science.gov (United States)

    Yang, Le-le; Li, Xin; Yang, Xiao-ping; Li, Dong-hui

    2015-12-01

    The article focuses on the research of moving target detection and tracking algorithm in Aerial monitoring. Study includes moving target detection, moving target behavioral analysis and Target Auto tracking. In moving target detection, the paper considering the characteristics of background subtraction and frame difference method, using background reconstruction method to accurately locate moving targets; in the analysis of the behavior of the moving object, using matlab technique shown in the binary image detection area, analyzing whether the moving objects invasion and invasion direction; In Auto Tracking moving target, A video tracking algorithm that used the prediction of object centroids based on Kalman filtering was proposed.

  13. General moving objects recognition method based on graph embedding dimension reduction algorithm

    Institute of Scientific and Technical Information of China (English)

    Yi ZHANG; Jie YANG; Kun LIU

    2009-01-01

    Effective and robust recognition and tracking of objects are the key problems in visual surveillance systems. Most existing object recognition methods were designed with particular objects in mind. This study presents a general moving objects recognition method using global features of targets. Targets are extracted with an adaptive Gaussian mixture model and their silhouette images are captured and unified. A new objects silhouette database is built to provide abundant samples to train the subspace feature. This database is more convincing than the previous ones. A more effective dimension reduction method based on graph embedding is used to obtain the projection eigenvector. In our experiments, we show the effective performance of our method in addressing the moving objects recognition problem and its superiority compared with the previous methods.

  14. Moving Object Detection in Heterogeneous Conditions in Embedded Systems

    Directory of Open Access Journals (Sweden)

    Alessandro Garbo

    2017-07-01

    Full Text Available This paper presents a system for moving object exposure, focusing on pedestrian detection, in external, unfriendly, and heterogeneous environments. The system manipulates and accurately merges information coming from subsequent video frames, making small computational efforts in each single frame. Its main characterizing feature is to combine several well-known movement detection and tracking techniques, and to orchestrate them in a smart way to obtain good results in diversified scenarios. It uses dynamically adjusted thresholds to characterize different regions of interest, and it also adopts techniques to efficiently track movements, and detect and correct false positives. Accuracy and reliability mainly depend on the overall receipt, i.e., on how the software system is designed and implemented, on how the different algorithmic phases communicate information and collaborate with each other, and on how concurrency is organized. The application is specifically designed to work with inexpensive hardware devices, such as off-the-shelf video cameras and small embedded computational units, eventually forming an intelligent urban grid. As a matter of fact, the major contribution of the paper is the presentation of a tool for real-time applications in embedded devices with finite computational (time and memory resources. We run experimental results on several video sequences (both home-made and publicly available, showing the robustness and accuracy of the overall detection strategy. Comparisons with state-of-the-art strategies show that our application has similar tracking accuracy but much higher frame-per-second rates.

  15. Testing linearity against nonlinear moving average models

    NARCIS (Netherlands)

    de Gooijer, J.G.; Brännäs, K.; Teräsvirta, T.

    1998-01-01

    Lagrange multiplier (LM) test statistics are derived for testing a linear moving average model against an additive smooth transition moving average model. The latter model is introduced in the paper. The small sample performance of the proposed tests are evaluated in a Monte Carlo study and compared

  16. A NEW METHOD OF MOVING OBJECT DETECTION AND SHADOW REMOVING

    Institute of Scientific and Technical Information of China (English)

    Hu Fuyuan; Zhang Yanning; Yao Lan; Sun Jinqiu

    2007-01-01

    This paper presents an adaptive method of objects and shadows detection in video streams.Models of background are firstly set up and adaptively updated in Hue Saturation Intensity (HSI)color space to detect motion regions. Then, detection errors are dealt with by motion continuity and velocity consistency. Finally, cast shadows are removed by the generic properties of luminance,chrominance and gradient density. Experimental results and their evaluation are presented to verify the effectiveness of this new method.

  17. Continuous K-Nearest Neighbor Processing Based on Speed and Direction of Moving Objects in a Road Network.

    Science.gov (United States)

    Li, Guohui; Fan, Ping; Yuan, Ling

    2014-03-01

    Recent research has focused on Continuous K-Nearest Neighbor (CKNN) query over moving objects in road networks. A CKNN query is to find among all moving objects the K-Nearest Neighbors (KNNs) of a moving query point within a given time interval. As the data objects move frequently and arbitrarily in road networks, the frequent updates of object locations make it complicated to process CKNN accurately and efficiently. In this paper, according to the relative moving situation between the moving objects and the query point, a Moving State of Object (MSO) model is presented to indicate the relative moving state of the object to the query point. With the help of this model, we propose a novel Object Candidate Processing (OCP) algorithm to highly reduce the repetitive query cost with pruning phase and refining phase. In the pruning phase, the data objects which cannot be the KNN query results are excluded within the given time interval. In the refining phase, the time subintervals of the given time interval are determined where the certain KNN query results are obtained. Comprehensive experiments are conducted and the results verify the effectiveness of the proposed methods.

  18. Error analysis of motion correction method for laser scanning of moving objects

    Science.gov (United States)

    Goel, S.; Lohani, B.

    2014-05-01

    The limitation of conventional laser scanning methods is that the objects being scanned should be static. The need of scanning moving objects has resulted in the development of new methods capable of generating correct 3D geometry of moving objects. Limited literature is available showing development of very few methods capable of catering to the problem of object motion during scanning. All the existing methods utilize their own models or sensors. Any studies on error modelling or analysis of any of the motion correction methods are found to be lacking in literature. In this paper, we develop the error budget and present the analysis of one such `motion correction' method. This method assumes availability of position and orientation information of the moving object which in general can be obtained by installing a POS system on board or by use of some tracking devices. It then uses this information along with laser scanner data to apply correction to laser data, thus resulting in correct geometry despite the object being mobile during scanning. The major application of this method lie in the shipping industry to scan ships either moving or parked in the sea and to scan other objects like hot air balloons or aerostats. It is to be noted that the other methods of "motion correction" explained in literature can not be applied to scan the objects mentioned here making the chosen method quite unique. This paper presents some interesting insights in to the functioning of "motion correction" method as well as a detailed account of the behavior and variation of the error due to different sensor components alone and in combination with each other. The analysis can be used to obtain insights in to optimal utilization of available components for achieving the best results.

  19. STRUCTURE IDENTIFICATION OF NON-LINEAR SYSTEM “MOVING OBJECT AND SERVO DRIVE” UNDER STOCHASTIC DISTURBANCES

    Directory of Open Access Journals (Sweden)

    Valerii Azarskov

    2015-12-01

    Full Text Available The article represents an algorithm for dynamics models identification of nonlinear system “moving object and servo drive”, taking into account that the stochastic disturbances presented in the real operating mode are acting on it.

  20. Dynamic object-oriented geospatial modeling

    Directory of Open Access Journals (Sweden)

    Tomáš Richta

    2010-02-01

    Full Text Available Published literature about moving objects (MO simplifies the problem to the representation and storage of moving points, moving lines, or moving regions. The main insufficiency of this approach is lack of MO inner structure and dynamics modeling – the autonomy of moving agent. This paper describes basics of the object-oriented geospatial methodology for modeling complex systems consisting of agents, which move within spatial environment. The main idea is that during the agent movement, different kinds of connections with other moving or stationary objects are established or disposed, based on some spatial constraint satisfaction or nonfulfilment respectively. The methodology is constructed with regard to following two main conditions – 1 the inner behavior of agents should be represented by any formalism, e.g.  Petri net, finite state machine, etc., and 2 the spatial characteristic of environment should be supplied by any information system, that is able to store defined set of spatial types, and support defined set of spatial operations. Finally, the methodology is demonstrated on simple simulation model of tram transportation system.

  1. Designing a location update strategy for free-moving and network-constrained objects with varying velocity

    Institute of Scientific and Technical Information of China (English)

    Yuan-Ko HUANG; Lien-Fa LIN

    2014-01-01

    Spatio-temporal databases aim at appropriately managing moving objects so as to support various types of queries. While much research has been conducted on developing query processing techniques, less effort has been made to address the issue of when and how to update location information of moving objects. Previous work shifts the workload of processing updates to each object which usually has limited CPU and battery capacities. This results in a tremendous processing overhead for each moving object. In this paper, we focus on designing efficient update strategies for two important types of moving objects, free-moving objects (FMOs) and network-constrained objects (NCOs), which are classified based on object movement models. For FMOs, we develop a novel update strategy, namely the FMO update strategy (FMOUS), to explicitly indicate a time point at which the object needs to update location information. As each object knows in advance when to update (meaning that it does not have to continuously check), the processing overhead can be greatly reduced. In addition, the FMO update procedure (FMOUP) is designed to efficiently process the updates issued from moving objects. Similarly, for NCOs, we propose the NCO update strategy (NCOUS) and the NCO update procedure (NCOUP) to inform each object when and how to update location information. Exten-sive experiments are conducted to demonstrate the effectiveness and efficiency of the proposed update strategies.

  2. Dynamic Self-Occlusion Avoidance Approach Based on the Depth Image Sequence of Moving Visual Object

    Directory of Open Access Journals (Sweden)

    Shihui Zhang

    2016-01-01

    Full Text Available How to avoid the self-occlusion of a moving object is a challenging problem. An approach for dynamically avoiding self-occlusion is proposed based on the depth image sequence of moving visual object. Firstly, two adjacent depth images of a moving object are acquired and each pixel’s 3D coordinates in two adjacent depth images are calculated by utilizing antiprojection transformation. On this basis, the best view model is constructed according to the self-occlusion information in the second depth image. Secondly, the Gaussian curvature feature matrix corresponding to each depth image is calculated by using the pixels’ 3D coordinates. Thirdly, based on the characteristic that the Gaussian curvature is the intrinsic invariant of a surface, the object motion estimation is implemented by matching two Gaussian curvature feature matrices and using the coordinates’ changes of the matched 3D points. Finally, combining the best view model and the motion estimation result, the optimization theory is adopted for planning the camera behavior to accomplish dynamic self-occlusion avoidance process. Experimental results demonstrate the proposed approach is feasible and effective.

  3. Study on tracking technology of the moving object based on computer vision

    Science.gov (United States)

    Xu, Ranran; Xu, Zhenying; Li, Boquan

    2010-10-01

    The tracking technology of the moving object has been an active topic of the visual tracking system. In this paper, the tracking algorithms are classified into four classes: correlation-based methods, boundary-based methods, model-based methods and multifunctional methods. Based on the analysis of the advantages and disadvantages of all these algorithms, a new tracking algorithm, integrating SSDA and advanced Camshift algorithm, is put forward here.

  4. A Novel System for Moving Object Detection Using Bionic Compound Eyes

    Institute of Scientific and Technical Information of China (English)

    Huabo Sun; Haimeng Zhao; Peter Mooney; Hongying Zhao; Daping Liu; Lei Yan

    2011-01-01

    Conventional moving target detection focuses on algorithms to improve detection efficiency. These algorithms pay less attention to the image acquisition means, and usually solve specific problems. This often results in poor flexibility and reusability. Insect compound eyes offer unique advantages for moving target detection and these advantages have attracted the attention of many researchers in recent years. In this paper we proposed a new system for moving target detection. We used the detection mechanism of insect compound eyes for the simulation of the characteristics of structure, control, and function. We discussed the design scheme of the system, the development of the bionic control circuit, and introduced the proposed mathematical model of bionic compound eyes for data acquisition and object detection. After this the integrated system was described and discussed. Our paper presents a novel approach for moving target detection. This approach effectively tackles some of the well-known problems in the field of view, resolution, and real-time processing problems in moving target detection.

  5. Trees or Grids? Indexing Moving Objects in Main Memory

    DEFF Research Database (Denmark)

    Sidlauskas, Darius; Saltenis, Simonas; Christiansen, Christian Winther

    2009-01-01

    New application areas, such as location-based services, rely on the efficient management of large collections of mobile objects. Maintaining accurate, up-to-date positions of these objects results in massive update loads that must be supported by spatial indexing structures and main-memory indexes...

  6. The perceived position of moving objects: transcranial magnetic stimulation of area MT+ reduces the flash-lag effect.

    Science.gov (United States)

    Maus, Gerrit W; Ward, Jamie; Nijhawan, Romi; Whitney, David

    2013-01-01

    How does the visual system assign the perceived position of a moving object? This question is surprisingly complex, since sluggish responses of photoreceptors and transmission delays along the visual pathway mean that visual cortex does not have immediate information about a moving object's position. In the flash-lag effect (FLE), a moving object is perceived ahead of an aligned flash. Psychophysical work on this illusion has inspired models for visual localization of moving objects. However, little is known about the underlying neural mechanisms. Here, we investigated the role of neural activity in areas MT+ and V1/V2 in localizing moving objects. Using short trains of repetitive Transcranial Magnetic Stimulation (TMS) or single pulses at different time points, we measured the influence of TMS on the perceived location of a moving object. We found that TMS delivered to MT+ significantly reduced the FLE; single pulse timings revealed a broad temporal tuning with maximum effect for TMS pulses, 200 ms after the flash. Stimulation of V1/V2 did not significantly influence perceived position. Our results demonstrate that area MT+ contributes to the perceptual localization of moving objects and is involved in the integration of position information over a long time window.

  7. AN AUTOMATIC SEGMENTATION METHOD FOR MOVING OBJECTS BASED ON THE SPATIAL-TEMPORAL INFORMATION OF VIDEO

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    The new MPEG-4 video coding standard enables content-based functions. In order to support the new standard, frames should be decomposed into Video Object Planes (VOP),each VOP representing a moving object. This paper proposes an image segmentation method to separate moving objects from image sequences. The proposed method utilizes the spatial-temporal information. Spatial segmentation is applied to divide each image into connected areas and to find precise object boundaries of moving objects. To locate moving objects in image sequences,two consecutive image frames in the temporal direction are examined and a hypothesis testing is performed with Neyman-Pearson criterion. Spatial segmentation produces a spatial segmentation mask, and temporal segmentation yields a change detection mask that indicates moving objects and the background. Then spatial-temporal merging can be used to get the final results. This method has been tested on several images. Experimental results show that this segmentation method is efficient.

  8. Multispectral system for perimeter protection of stationary and moving objects

    Science.gov (United States)

    Szustakowski, Mieczyslaw; Ciurapinski, Wieslaw M.; Zyczkowski, Marek; Palka, Norbert; Kastek, Mariusz; Dulski, Rafal; Bieszczad, Grzegorz; Sosnowski, Tomasz

    2009-09-01

    Introduction of a ground multispectral detection has changed organization and construction of perimeter security systems. The perimeter systems with linear zone sensors and cables have been replaced with a point arrangement of sensors with multispectral detection. Such multispectral sensors generally consist of an active ground radar, which scans the protected area with microwaves or millimeter waves, a thermal camera, which detects temperature contrast and a visible range camera. Connection of these three different technologies into one system requires methodology for selection of technical conditions of installation and parameters of sensors. This procedure enables us to construct a system with correlated range, resolution, field of view and object identification. The second technical problem connected with the multispectral system is its software, which helps couple the radar with the cameras. This software can be used for automatic focusing of cameras, automatic guiding cameras to an object detected by the radar, tracking of the object and localization of the object on the digital map as well as identification and alarming. In this paper two essential issues connected with multispectral system are described. We focus on methodology of selection of sensors parameters. We present usage of a spider-chart, which was adopted to the proposed methodology. Next, we describe methodology of automation of the system regarding an object detection, tracking, identification, localization and alarming.

  9. Robust static and moving object detection via multi-scale attentional mechanisms

    Science.gov (United States)

    Honda, Alexander; Chen, Yang; Khosla, Deepak

    2013-05-01

    Real-time detection of objects in video sequences captured from an aerial platforms is a key task for surveillance applications. It is common to perform expensive frame to frame registration as preprocessing to moving object detection in this type of application, and there is no principled approach to the detection of stationary targets.We explore the Spectral Residual algorithm,6 a fast linearithmic run time saliency model which requires no training and has no temporal dependencies, and is capable of detecting proto-objects in a single image. In this paper we describe methods for enhancing the Spectral Residual saliency algorithm to generate candidate object detections from video sequences captured from moving platforms. These object candidates can then be passed to a classification module for further processing. We describe a method that makes the Spectral Residual algorithm more robust to natural variances in color images, and a pyramidal approach to make the processes more robust to objects of varying size. Furthermore we describe a technique for processing the resulting saliency map into a set of tight bounding boxes suitable for extracting image regions for classification. These methods result in a system that is fast, robust, and efficient with reliable performance for low SWaP surveillance platforms.

  10. A moving object segmentation algorithm for static camera via active contours and GMM

    Institute of Scientific and Technical Information of China (English)

    WAN ChengKai; YUAN BaoZong; MIAO ZhenJiang

    2009-01-01

    Moving object segmentation is one of the most challenging Issues In computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combines Gaussian mix-ture model (GMM) and active contours method, and produces much better results than conventional background subtraction methods. It formulates foreground segmentation as an energy minimization problem and minimizes the energy function using curve evolution method. Our algorithm integrates the GMM background model, shadow elimination term and curve evolution edge stopping term into energy function. It achieves more accurate segmentation than existing methods of the same type. Promising results on real images demonstrate the potential of the presented method.

  11. A Jet Model of HH Objects

    Science.gov (United States)

    Tenorio-Tagle, Guillermo; Rozyczka, Michal; Cantó, Jorge

    It is shown by means of two dimensional hydrodynamical simulations that Canto's model of HH objects does not lead to an entirely stationary flow. It causes both a stationary cylindrical shock (at the interaction place) and a fast moving region emitting an HH spectra. A coherent picture of these phenomena is here presented. The models account for "optical jet" structures embedded in a much larger (>0.1 pc) hydrodynamical jet at the tip of which an HH object should be found.

  12. Multiple Moving Object Detection for Fast Video Content Description in Compressed Domain

    Directory of Open Access Journals (Sweden)

    Boris Mansencal

    2007-11-01

    Full Text Available Indexing deals with the automatic extraction of information with the objective of automatically describing and organizing the content. Thinking of a video stream, different types of information can be considered semantically important. Since we can assume that the most relevant one is linked to the presence of moving foreground objects, their number, their shape, and their appearance can constitute a good mean for content description. For this reason, we propose to combine both motion information and region-based color segmentation to extract moving objects from an MPEG2 compressed video stream starting only considering low-resolution data. This approach, which we refer to as “rough indexing,” consists in processing P-frame motion information first, and then in performing I-frame color segmentation. Next, since many details can be lost due to the low-resolution data, to improve the object detection results, a novel spatiotemporal filtering has been developed which is constituted by a quadric surface modeling the object trace along time. This method enables to effectively correct possible former detection errors without heavily increasing the computational effort.

  13. MOVING LOGISTIC OF MECHANIZATION EQUIPMENT AT SORTING OUT OF BUILDING OBJECTS DESTRUCTIONS

    Directory of Open Access Journals (Sweden)

    SHATOV S. V.

    2016-12-01

    Full Text Available Formulation of the problem. Technogenic failures and elemental phenomena result in destruction or damage of building objects – constructions and buildings. Under wreckages and damaged constructions of building there can be victims. The most widespread technogenic failure are explosions of domestic gas. The structure of obstructions changes depending on parameters and direction of explosion, first of all size and location of wreckages. Sorting out of wreckages of constructions and damaged parts of building is executed on not rational charts, which do not take into account character of destructions, and without corresponding facilities of mechanization, which answer the requirements of these works not always. It increases terms, labour intensiveness and cost of their conduct. Development of rational technological decisions is therefore needed, corresponding machines and logistic of their moving for the effective sorting out of destructions of building objects. Purpose. Logistic development of the rational moving of machines and equipment on a site area for providing of effective processes of sorting out of destructions of constructions and buildings. Conclusion. Experience of works shows on sorting out of the destroyed building objects, that they are executed without the account of destruction character of building and does not examine the rational moving of machines, which results in considerable resource losses. Worked out structural model of entrance information for making decision on sorting out of obstructions of the destroyed building, which contains component parts of technological process, in particular presence of transport networks, facilities types of mechanization and direction of their moving. On the basis of the queuing system the basic indexes of machines co-operation are certain.

  14. Real-Time Motion Tracking for Indoor Moving Sphere Objects with a LiDAR Sensor

    Directory of Open Access Journals (Sweden)

    Lvwen Huang

    2017-08-01

    Full Text Available Object tracking is a crucial research subfield in computer vision and it has wide applications in navigation, robotics and military applications and so on. In this paper, the real-time visualization of 3D point clouds data based on the VLP-16 3D Light Detection and Ranging (LiDAR sensor is achieved, and on the basis of preprocessing, fast ground segmentation, Euclidean clustering segmentation for outliers, View Feature Histogram (VFH feature extraction, establishing object models and searching matching a moving spherical target, the Kalman filter and adaptive particle filter are used to estimate in real-time the position of a moving spherical target. The experimental results show that the Kalman filter has the advantages of high efficiency while adaptive particle filter has the advantages of high robustness and high precision when tested and validated on three kinds of scenes under the condition of target partial occlusion and interference, different moving speed and different trajectories. The research can be applied in the natural environment of fruit identification and tracking, robot navigation and control and other fields.

  15. Real-Time Motion Tracking for Indoor Moving Sphere Objects with a LiDAR Sensor.

    Science.gov (United States)

    Huang, Lvwen; Chen, Siyuan; Zhang, Jianfeng; Cheng, Bang; Liu, Mingqing

    2017-08-23

    Object tracking is a crucial research subfield in computer vision and it has wide applications in navigation, robotics and military applications and so on. In this paper, the real-time visualization of 3D point clouds data based on the VLP-16 3D Light Detection and Ranging (LiDAR) sensor is achieved, and on the basis of preprocessing, fast ground segmentation, Euclidean clustering segmentation for outliers, View Feature Histogram (VFH) feature extraction, establishing object models and searching matching a moving spherical target, the Kalman filter and adaptive particle filter are used to estimate in real-time the position of a moving spherical target. The experimental results show that the Kalman filter has the advantages of high efficiency while adaptive particle filter has the advantages of high robustness and high precision when tested and validated on three kinds of scenes under the condition of target partial occlusion and interference, different moving speed and different trajectories. The research can be applied in the natural environment of fruit identification and tracking, robot navigation and control and other fields.

  16. Visual SLAM and Moving-object Detection for a Small-size Humanoid Robot

    Directory of Open Access Journals (Sweden)

    Yin-Tien Wang

    2010-09-01

    Full Text Available In the paper, a novel moving object detection (MOD algorithm is developed and integrated with robot visual Simultaneous Localization and Mapping (vSLAM. The moving object is assumed to be a rigid body and its coordinate system in space is represented by a position vector and a rotation matrix. The MOD algorithm is composed of detection of image features, initialization of image features, and calculation of object coordinates. Experimentation is implemented on a small-size humanoid robot and the results show that the performance of the proposed algorithm is efficient for robot visual SLAM and moving object detection.

  17. Dose reduction by moving a region of interest (ROI) beam attenuator to follow a moving object of interest

    Science.gov (United States)

    Panse, Ashish S.; Swetadri Vasan, S. N.; Jain, A.; Bednarek, D. R.; Rudin, S.

    2012-03-01

    Region-of-interest (ROI) fluoroscopy takes advantage of the fact that most neurovascular interventional activity is performed in only a small portion of an x-ray imaging field of view (FOV). The ROI beam filter is an attenuating material that reduces patient dose in the area peripheral to the object of interest. This project explores a method of moving the beam-attenuator aperture with the object of interest such that it always remains in the ROI. In this study, the ROI attenuator, which reduces the dose by 80% in the peripheral region, is mounted on a linear stage placed near the xray tube. Fluoroscopy is performed using the Microangiographic Fluoroscope (MAF) which is a high-resolution, CCD-based x-ray detector. A stainless-steel stent is selected as the object of interest, and is moved across the FOV and localized using an object-detection algorithm available in the IMAQ Vision package of LabVIEW. The ROI is moved to follow the stent motion. The pixel intensities are equalized in both FOV regions and an adaptive temporal filter dependent on the motion of the object of interest is implemented inside the ROI. With a temporal filter weight of 5% for the current image in the peripheral region, the SNR measured is 47.8. The weights inside the ROI vary between 10% and 33% with a measured SNR of 57.9 and 35.3 when the object is stationary and moving, respectively. This method allows patient dose reduction as well as maintenance of superior image quality in the ROI while tracking the object.

  18. Responses of infrared-sensitive tectal units of the pit viper Crotalus atrox to moving objects.

    Science.gov (United States)

    Kaldenbach, Felix; Bleckmann, Horst; Kohl, Tobias

    2016-06-01

    Rattlesnakes perceive IR radiation with their pit organs. This enables them to detect and strike towards warm-blooded prey even in the dark. In addition, the IR sense allows rattlesnakes to find places for thermoregulation. Animate objects (e.g., prey) tend to move and thus cause moving IR images across the pit membrane. Even when an object is stationary, scanning head movements of rattlesnakes will result in moving IR images across the pit membrane. We recorded the neuronal activity of IR-sensitive tectal neurons of the rattlesnake Crotalus atrox while stimulating the snakes with an IR source that moved horizontally at various velocities. As long as object velocity was low (angular velocity of ~5°/s) IR-sensitive tectal neurons hardly showed any responses. With increasing object velocity though, neuronal activity reached a maximum at ~50°/s. A further increase in object velocity up to ~120°/s resulted in a slight decrease of neuronal activity. Our results demonstrate the importance of moving stimuli for the snake's IR detection abilities: in contrast to fast moving objects, stationary or slowly moving objects will not be detected when the snake is motionless, but might be detected by scanning head movements.

  19. A change detection approach to moving object detection in low frame-rate video

    Energy Technology Data Exchange (ETDEWEB)

    Porter, Reid B [Los Alamos National Laboratory; Harvey, Neal R [Los Alamos National Laboratory; Theiler, James P [Los Alamos National Laboratory

    2009-01-01

    Moving object detection is of significant interest in temporal image analysis since it is a first step in many object identification and tracking applications. A key component in almost all moving object detection algorithms is a pixel-level classifier, where each pixel is predicted to be either part of a moving object or part of the background. In this paper we investigate a change detection approach to the pixel-level classification problem and evaluate its impact on moving object detection. The change detection approach that we investigate was previously applied to multi-and hyper-spectral datasets, where images were typically taken several days, or months apart. In this paper, we apply the approach to low-frame rate (1-2 frames per second) video datasets.

  20. A simple strategy for detecting moving objects during locomotion revealed by animal-robot interactions.

    Science.gov (United States)

    Zabala, Francisco; Polidoro, Peter; Robie, Alice; Branson, Kristin; Perona, Pietro; Dickinson, Michael H

    2012-07-24

    An important role of visual systems is to detect nearby predators, prey, and potential mates, which may be distinguished in part by their motion. When an animal is at rest, an object moving in any direction may easily be detected by motion-sensitive visual circuits. During locomotion, however, this strategy is compromised because the observer must detect a moving object within the pattern of optic flow created by its own motion through the stationary background. However, objects that move creating back-to-front (regressive) motion may be unambiguously distinguished from stationary objects because forward locomotion creates only front-to-back (progressive) optic flow. Thus, moving animals should exhibit an enhanced sensitivity to regressively moving objects. We explicitly tested this hypothesis by constructing a simple fly-sized robot that was programmed to interact with a real fly. Our measurements indicate that whereas walking female flies freeze in response to a regressively moving object, they ignore a progressively moving one. Regressive motion salience also explains observations of behaviors exhibited by pairs of walking flies. Because the assumptions underlying the regressive motion salience hypothesis are general, we suspect that the behavior we have observed in Drosophila may be widespread among eyed, motile organisms.

  1. A freely-moving monkey treadmill model.

    Science.gov (United States)

    Foster, Justin D; Nuyujukian, Paul; Freifeld, Oren; Gao, Hua; Walker, Ross; I Ryu, Stephen; H Meng, Teresa; Murmann, Boris; J Black, Michael; Shenoy, Krishna V

    2014-08-01

    Motor neuroscience and brain-machine interface (BMI) design is based on examining how the brain controls voluntary movement, typically by recording neural activity and behavior from animal models. Recording technologies used with these animal models have traditionally limited the range of behaviors that can be studied, and thus the generality of science and engineering research. We aim to design a freely-moving animal model using neural and behavioral recording technologies that do not constrain movement. We have established a freely-moving rhesus monkey model employing technology that transmits neural activity from an intracortical array using a head-mounted device and records behavior through computer vision using markerless motion capture. We demonstrate the flexibility and utility of this new monkey model, including the first recordings from motor cortex while rhesus monkeys walk quadrupedally on a treadmill. Using this monkey model, we show that multi-unit threshold-crossing neural activity encodes the phase of walking and that the average firing rate of the threshold crossings covaries with the speed of individual steps. On a population level, we find that neural state-space trajectories of walking at different speeds have similar rotational dynamics in some dimensions that evolve at the step rate of walking, yet robustly separate by speed in other state-space dimensions. Freely-moving animal models may allow neuroscientists to examine a wider range of behaviors and can provide a flexible experimental paradigm for examining the neural mechanisms that underlie movement generation across behaviors and environments. For BMIs, freely-moving animal models have the potential to aid prosthetic design by examining how neural encoding changes with posture, environment and other real-world context changes. Understanding this new realm of behavior in more naturalistic settings is essential for overall progress of basic motor neuroscience and for the successful

  2. A Line Graph-Based Continuous Range Query Method for Moving Objects in Networks

    Directory of Open Access Journals (Sweden)

    Hengcai Zhang

    2016-12-01

    Full Text Available The rapid growth of location-based services has motivated the development of continuous range queries in networks. Existing query algorithms usually adopt an expansion tree to reuse the previous query results to get better efficiency. However, the high maintenance costs of the traditional expansion tree lead to a sharp efficiency decrease. In this paper, we propose a line graph-based continuous range (LGCR query algorithm for moving objects in networks, which is characterized by a novel graph-based expansion tree (GET structure used to monitor queries in an incremental manner. In particular, GET is developed based on the line graph model of networks and simultaneously supports offline pre-computation to better adapt our proposed algorithm to different sizes of networks. To improve performance, we create a series of related data structures, such as bridgeable edges and distance edges. Correspondingly, we develop several algorithms, including initialization, insertion of objects, filter and refinement and location update, to incrementally re-evaluate continuous range queries. Finally, we implement the GET and related algorithms in the native graph database Neo4J. We conduct experiments using real-world networks and simulated moving objects and compare the proposed LGCR with the existing classical algorithm to verify its effectiveness and demonstrate its greater efficiency.

  3. Enhanced codebook algorithm for fast moving object detection from dynamic background using scene visual perception

    Science.gov (United States)

    Mousse, Mikaël A.; Motamed, Cina; Ezin, Eugène C.

    2016-11-01

    The detection of moving objects in a video sequence is the first step in an automatic video surveillance system. This work proposes an enhancement of a codebook-based algorithm for moving objects extraction. The proposed algorithm used a perceptual-based approach to optimize foreground information extraction complexity by using a modified codebook algorithm. The purpose of the adaptive strategy is to reduce the computational complexity of the foreground detection algorithm while maintaining its global accuracy. In this algorithm, we use a superpixels segmentation approach to model the spatial dependencies between pixels. The processing of the superpixels is controlled to focus it on the superpixels that are near to the possible location of foreground objects. The performance of the proposed algorithm is evaluated and compared to other algorithms of the state of the art using a public dataset that proposes sequences with a dynamic background. Experimental results prove that the proposed algorithm obtained the best the frame processing rate during the foreground detection.

  4. An Algorithm for Improving the Accuracy of Systems Measuring Parameters of Moving Objects

    Directory of Open Access Journals (Sweden)

    Dichev Dimitar

    2016-12-01

    Full Text Available The paper considers an algorithm for increasing the accuracy of measuring systems operating on moving objects. The algorithm is based on the Kalman filter. It aims to provide a high measurement accuracy for the whole range of change of the measured quantity and the interference effects, as well as to eliminate the influence of a number of interference sources, each of which is of secondary importance but their total impact can cause a considerable distortion of the measuring signal. The algorithm is intended for gyro-free measuring systems. It is based on a model of the moving object dynamics. The mathematical model is developed in such a way that it enables to automatically adjust the algorithm parameters depending on the current state of measurement conditions. This makes possible to develop low-cost measuring systems with a high dynamic accuracy. The presented experimental results prove effectiveness of the proposed algorithm in terms of the dynamic accuracy of measuring systems of that type.

  5. Moving Object Detection Using Scanning Camera on a High-Precision Intelligent Holder

    Directory of Open Access Journals (Sweden)

    Shuoyang Chen

    2016-10-01

    Full Text Available During the process of moving object detection in an intelligent visual surveillance system, a scenario with complex background is sure to appear. The traditional methods, such as “frame difference” and “optical flow”, may not able to deal with the problem very well. In such scenarios, we use a modified algorithm to do the background modeling work. In this paper, we use edge detection to get an edge difference image just to enhance the ability of resistance illumination variation. Then we use a “multi-block temporal-analyzing LBP (Local Binary Pattern” algorithm to do the segmentation. In the end, a connected component is used to locate the object. We also produce a hardware platform, the core of which consists of the DSP (Digital Signal Processor and FPGA (Field Programmable Gate Array platforms and the high-precision intelligent holder.

  6. Cooperative Moving Object Segmentation using Two Cameras based on Background Subtraction and Image Registration

    Directory of Open Access Journals (Sweden)

    Zhigao Cui

    2014-03-01

    Full Text Available Moving camera, such as PTZ (pan-tilt-zoom camera, has been widely applied in visual surveillance system. However, it’s difficult to extract moving objects because of the dynamic background caused by the camera motion. In this paper, a novel framework for moving object segmentation exploiting two cameras collaboration is presented by combining background subtraction and image registration method. The proposed method uses one static camera to capture large-view images at low resolution, and one moving camera (i.e. PTZ camera to capture local-view images at high resolution. Different with methods using a single moving camera, the moving objects can be effectively segmented in the static camera image by background subtraction method. Then image registration method can be applied to extract moving region in the moving camera image. To deal with the resolution and intensity discrepancy between two synchronized images, we design a practical three-step image registration method, which has higher registration accuracy than traditional feature based method. Experimental results on outdoor scene demonstrate the effectiveness and robustness of proposed approach.

  7. Efficient Indexing of the Historical, Present, and Future Positions of Moving Objects

    DEFF Research Database (Denmark)

    Lin, D.; Jensen, Christian Søndergaard; Ooi, B.C.;

    2005-01-01

    . The provisioning of such techniques is challenging, both because of the nature of the data, which reflects continuous movement, and because of the types of queries to be supported. This paper proposes the BBx-index structure, which indexes the positions of moving objects, given as linear functions of time, at any...... time. The index stores linearized moving-object locations in a forest of B+-trees. The index supports queries that select objects based on temporal and spatial constraints, such as queries that retrieve all objects whose positions fall within a spatial range during a set of time intervals. Empirical......Although significant effort has been put into the development of efficient spatio-temporal indexing techniques for moving objects, little attention has been given to the development of techniques that efficiently support queries about the past, present, and future positions of objects...

  8. Towards Accurate Modeling of Moving Contact Lines

    CERN Document Server

    Holmgren, Hanna

    2015-01-01

    A main challenge in numerical simulations of moving contact line problems is that the adherence, or no-slip boundary condition leads to a non-integrable stress singularity at the contact line. In this report we perform the first steps in developing the macroscopic part of an accurate multiscale model for a moving contact line problem in two space dimensions. We assume that a micro model has been used to determine a relation between the contact angle and the contact line velocity. An intermediate region is introduced where an analytical expression for the velocity exists. This expression is used to implement boundary conditions for the moving contact line at a macroscopic scale, along a fictitious boundary located a small distance away from the physical boundary. Model problems where the shape of the interface is constant thought the simulation are introduced. For these problems, experiments show that the errors in the resulting contact line velocities converge with the grid size $h$ at a rate of convergence $...

  9. Efficient Indexing of the Historical, Present, and Future Positions of Moving Objects

    DEFF Research Database (Denmark)

    Lin, D.; Jensen, Christian Søndergaard; Ooi, B.C.

    2005-01-01

    Although significant effort has been put into the development of efficient spatio-temporal indexing techniques for moving objects, little attention has been given to the development of techniques that efficiently support queries about the past, present, and future positions of objects. The provis......Although significant effort has been put into the development of efficient spatio-temporal indexing techniques for moving objects, little attention has been given to the development of techniques that efficiently support queries about the past, present, and future positions of objects...

  10. Experiment Observation on Acoustic Forward Scattering for Underwater Moving Object Detection

    Institute of Scientific and Technical Information of China (English)

    LEI Bo; MA Yuan-Liang; YANG Kun-De

    2011-01-01

    The problem of detecting an object in shallow water by observing changes in the acoustic field as the object passes between an acoustic source and receiver is addressed. A signal processing scheme based on forward scattering is proposed to detect the perturbed field in the presence of the moving object. The periodic LFM wideband signal is transmitted and a sudden change of field is acquired using a normalized median filter. The experimental results on the lake show that the proposed scheme is successful for the detection of a slowly moving object in the bistatic blind zone.

  11. On 3D simulation of moving objects in a digital earth system

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    "How do the rescue helicopters find out an optimized path to arrive at the site of a disaster as soon as possible?" or "How are the flight procedures over mountains and plateaus simulated?" and so on.In this paper a script language on spatial moving objects is presented by abstracting 3D spatial moving objects’ behavior when implementing moving objects simulation in 3D digital Earth scene,which is based on a platform of digital China named "ChinaStar".The definition of this script language,its morphology and syntax,its compiling and mediate language generating,and the behavior and state control of spatial moving objects are discussed emphatically.In addition,the language’s applications and implementation are also discussed.

  12. How lateral connections and spiking dynamics may separate multiple objects moving together.

    Directory of Open Access Journals (Sweden)

    Benjamin D Evans

    Full Text Available Over successive stages, the ventral visual system of the primate brain develops neurons that respond selectively to particular objects or faces with translation, size and view invariance. The powerful neural representations found in Inferotemporal cortex form a remarkably rapid and robust basis for object recognition which belies the difficulties faced by the system when learning in natural visual environments. A central issue in understanding the process of biological object recognition is how these neurons learn to form separate representations of objects from complex visual scenes composed of multiple objects. We show how a one-layer competitive network comprised of 'spiking' neurons is able to learn separate transformation-invariant representations (exemplified by one-dimensional translations of visual objects that are always seen together moving in lock-step, but separated in space. This is achieved by combining 'Mexican hat' functional lateral connectivity with cell firing-rate adaptation to temporally segment input representations of competing stimuli through anti-phase oscillations (perceptual cycles. These spiking dynamics are quickly and reliably generated, enabling selective modification of the feed-forward connections to neurons in the next layer through Spike-Time-Dependent Plasticity (STDP, resulting in separate translation-invariant representations of each stimulus. Variations in key properties of the model are investigated with respect to the network's ability to develop appropriate input representations and subsequently output representations through STDP. Contrary to earlier rate-coded models of this learning process, this work shows how spiking neural networks may learn about more than one stimulus together without suffering from the 'superposition catastrophe'. We take these results to suggest that spiking dynamics are key to understanding biological visual object recognition.

  13. Infant manual performance during reaching and grasping for objects moving in depth

    Directory of Open Access Journals (Sweden)

    Erik eDomellöf

    2015-08-01

    Full Text Available Few studies have observed investigated manual asymmetries performance in infants when reaching and grasping for objects moving in directions other than across the fronto-parallel plane. The present preliminary study explored manual object-oriented behavioral strategies and hand side preference in 8- and 10-month-old infants during reaching and grasping for objects approaching in depth from three positions (midline, and 27° diagonally from the left, and right, midline. Effects of task constraint by using objects of three different types and two sizes were further examined for behavioral strategies and . The study also involved measurements of hand position opening prior to grasping., and Additionally, assessments of general hand preference by a dedicated handedness test were performed. Regardless of object starting position, the 8-month-old infants predominantly displayed right-handed reaches for objects approaching in depth. In contrast, the older infants showed more varied strategies and performed more ipsilateral reaches in correspondence with the side of the approaching object. Conversely, 10-month-old infants were more successful than the younger infants in grasping the objects, independent of object starting position. The findings support the possibility of a shared underlying mechanism regarding for infant hand use strategies when reaching and grasping for horizontally objects moving in depth are similar to those from earlier studies using objects moving along a horizontal pathand vertically moving objects. Still, initiation times of reaching onset were generally long in the present study, indicating that the object motion paths seemingly affected how the infants perceived the intrinsic properties and spatial locations of the objects, possibly with an effect on motor planning. Findings are further discussed in relation to future investigations of infant reaching and grasping for objects approaching in depth.

  14. Indexing the Past, Present and Anticipated Future Positions of Moving Objects

    DEFF Research Database (Denmark)

    Pelanis, Mindaugas; Saltenis, Simonas; Jensen, Christian Søndergaard

    2004-01-01

    until the time of the most recent position sample, or they represent an object's position as a constant or linear function of time and capture the position from the current time and into the (near) future. This paper offers an indexing technique capable of capturing the positions of moving objects...

  15. Super-Resolution of Moving Objects in Under-Sampled Image Sequences

    NARCIS (Netherlands)

    Van Eekeren, A.W.M.

    2009-01-01

    In many applications, such as observation systems, it is important to detect and identify a possible threat as early as possible. Especially the approaching ones are of interest. Such moving threats/objects are often at a very large distance and are observed as very small and unrecognizable objects

  16. A Model for Concurrent Objects

    DEFF Research Database (Denmark)

    Sørensen, Morten U.

    1996-01-01

    We present a model for concurrent objects where obejcts interact by taking part in common events that are closely matched to form call-response pairs, resulting in resulting in rendez-vous like communications. Objects are built from primitive objects by parallel composition, encapsulation and hid...

  17. Experimental Object-Oriented Modelling

    DEFF Research Database (Denmark)

    Hansen, Klaus Marius

    This thesis examines object-oriented modelling in experimental system development. Object-oriented modelling aims at representing concepts and phenomena of a problem domain in terms of classes and objects. Experimental system development seeks active experimentation in a system development project...... through, e.g., technical prototyping and active user involvement. We introduce and examine “experimental object-oriented modelling” as the intersection of these practices. The contributions of this thesis are expected to be within three perspectives on models and modelling in experimental system...... and discuss techniques for handling and representing uncertainty when modelling in experimental system development. These techniques are centred on patterns and styles for handling uncertainty in object-oriented software architectures. Tools We present the Knight tool designed for collaborative modelling...

  18. Objective information about energy models

    Energy Technology Data Exchange (ETDEWEB)

    Hale, D.R. (Energy Information Administration, Washington, DC (United States))

    1993-01-01

    This article describes the Energy Information Administration's program to develop objective information about its modeling systems without hindering model development and applications, and within budget and human resource constraints. 16 refs., 1 fig., 2 tabs.

  19. Moving towards maturity in business model definitions

    DEFF Research Database (Denmark)

    Nielsen, Christian; Lund, Morten; Bukh, Per Nikolaj

    2014-01-01

    The field of business models has, as is the case with all emerging fields of practice, slowly matured through the development of frameworks, models, concepts and ideas over the last 15 years. New concepts, theories and models typically transcend a series of maturity phases. For the concept of Bus...... for focusing on the more complex and dynamic aspects of business models seems to be right - right now!......The field of business models has, as is the case with all emerging fields of practice, slowly matured through the development of frameworks, models, concepts and ideas over the last 15 years. New concepts, theories and models typically transcend a series of maturity phases. For the concept...... of Business Models, we are at the verge of moving from phase 2 to 3, after having spent a lot of time during the 1990’s and 2000’s arguing for the importance of understanding business models properly and discussing the content and potential building blocks of them. Therefore, in terms of maturity – the time...

  20. Moving object detection method using H.263 video coded data for remote surveillance systems

    Science.gov (United States)

    Kohno, Atsushi; Hata, Toshihiko; Ozaki, Minoru

    1998-12-01

    This paper describes a moving object detection method using H.263 coded data. For video surveillance systems, it is necessary to detect unusual states because there are a lot of cameras in the system and video surveillance is tedious in normal states. We examine the information extracted from H.263 coded data and propose a method of detecting alarm events from that information. Our method consists of two steps. In the first step, using motion vector information, a moving object can be detected based on the vector's size and the similarities between the vectors in one frame and the two adjoining frames. In the second step, using DCT coefficients, the detection errors caused by the change of the luminous intensity can be eliminated based on the characteristics of the H.263's DCT coefficients. Thus moving objects are detected by analyzing the motion vectors and DCT coefficients, and we present some experimental results that show the effectiveness of our method.

  1. A System based on Adaptive Background Subtraction Approach for Moving Object Detection and Tracking in Videos

    Directory of Open Access Journals (Sweden)

    Bahadır KARASULU

    2013-04-01

    Full Text Available Video surveillance systems are based on video and image processing research areas in the scope of computer science. Video processing covers various methods which are used to browse the changes in existing scene for specific video. Nowadays, video processing is one of the important areas of computer science. Two-dimensional videos are used to apply various segmentation and object detection and tracking processes which exists in multimedia content-based indexing, information retrieval, visual and distributed cross-camera surveillance systems, people tracking, traffic tracking and similar applications. Background subtraction (BS approach is a frequently used method for moving object detection and tracking. In the literature, there exist similar methods for this issue. In this research study, it is proposed to provide a more efficient method which is an addition to existing methods. According to model which is produced by using adaptive background subtraction (ABS, an object detection and tracking system’s software is implemented in computer environment. The performance of developed system is tested via experimental works with related video datasets. The experimental results and discussion are given in the study

  2. Tracking of Moving Objects in Video Through Invariant Features in Their Graph Representation

    Directory of Open Access Journals (Sweden)

    O. Miller

    2008-08-01

    Full Text Available The paper suggests a contour-based algorithm for tracking moving objects in video. The inputs are segmented moving objects. Each segmented frame is transformed into region adjacency graphs (RAGs. The object's contour is divided into subcurves. Contour's junctions are derived. These junctions are the unique “signature” of the tracked object. Junctions from two consecutive frames are matched. The junctions' motion is estimated using RAG edges in consecutive frames. Each pair of matched junctions may be connected by several paths (edges that become candidates that represent a tracked contour. These paths are obtained by the k-shortest paths algorithm between two nodes. The RAG is transformed into a weighted directed graph. The final tracked contour construction is derived by a match between edges (subcurves and candidate paths sets. The RAG constructs the tracked contour that enables an accurate and unique moving object representation. The algorithm tracks multiple objects, partially covered (occluded objects, compounded object of merge/split such as players in a soccer game and tracking in a crowded area for surveillance applications. We assume that features of topologic signature of the tracked object stay invariant in two consecutive frames. The algorithm's complexity depends on RAG's edges and not on the image's size.

  3. Tracking of Moving Objects in Video Through Invariant Features in Their Graph Representation

    Directory of Open Access Journals (Sweden)

    Averbuch A

    2008-01-01

    Full Text Available Abstract The paper suggests a contour-based algorithm for tracking moving objects in video. The inputs are segmented moving objects. Each segmented frame is transformed into region adjacency graphs (RAGs. The object's contour is divided into subcurves. Contour's junctions are derived. These junctions are the unique “signature� of the tracked object. Junctions from two consecutive frames are matched. The junctions' motion is estimated using RAG edges in consecutive frames. Each pair of matched junctions may be connected by several paths (edges that become candidates that represent a tracked contour. These paths are obtained by the -shortest paths algorithm between two nodes. The RAG is transformed into a weighted directed graph. The final tracked contour construction is derived by a match between edges (subcurves and candidate paths sets. The RAG constructs the tracked contour that enables an accurate and unique moving object representation. The algorithm tracks multiple objects, partially covered (occluded objects, compounded object of merge/split such as players in a soccer game and tracking in a crowded area for surveillance applications. We assume that features of topologic signature of the tracked object stay invariant in two consecutive frames. The algorithm's complexity depends on RAG's edges and not on the image's size.

  4. Approaching Behaviour Monitor and Vibration Indication in Developing a General Moving Object Alarm System (GMOAS

    Directory of Open Access Journals (Sweden)

    Haiwei Dong

    2013-07-01

    Full Text Available People who suffer from hearing impairment caused by illness, age or extremely noisy environments are constantly in danger of being hit or knocked down by fast moving objects behind them when they have no companion or augmented sensory system to warn them. In this paper, we propose the General Moving Object Alarm System (GMOAS, a system focused on aiding the safe mobility of people under these circumstances. The GMOAS is a wearable haptic device that consists of two main subsystems: (i a moving object monitoring subsystem that uses laser range data to detect and track approaching objects, and (ii an alarm subsystem that warns the user of possibly dangerous approaching objects by triggering tactile vibrations on an “alarm necklace”. For moving object monitoring, we propose a simple yet efficient solution to monitor the approaching behavior of objects. Compared with previous work in motion detection and tracking, we are not interested in specific objects but any type of approaching object that might harm the user. To this extent, we define a boundary in the laser range data where the objects are monitored. Within this boundary a fan-shape grid is constructed to obtain an evenly distributed spatial partitioning of the data. These partitions are efficiently clustered into continuous objects which are then tracked through time using an object association algorithm based on updating a deviation matrix that represents angle, distance and size variations of the objects. The speed of the tracked objects is monitored throughout the algorithm. When the speed of an approaching object surpasses the safety threshold, the alarm necklace is triggered indicating the approaching direction of the fast moving object. The alarm necklace is equipped with three motors that can indicate five directions with respect to the user: left, back, right, left-back and right-back. We performed three types of outdoor experiments (object passing, approaching and crossing that

  5. A-Track: A new approach for detection of moving objects in FITS images

    Science.gov (United States)

    Atay, T.; Kaplan, M.; Kilic, Y.; Karapinar, N.

    2016-10-01

    We have developed a fast, open-source, cross-platform pipeline, called A-Track, for detecting the moving objects (asteroids and comets) in sequential telescope images in FITS format. The pipeline is coded in Python 3. The moving objects are detected using a modified line detection algorithm, called MILD. We tested the pipeline on astronomical data acquired by an SI-1100 CCD with a 1-meter telescope. We found that A-Track performs very well in terms of detection efficiency, stability, and processing time. The code is hosted on GitHub under the GNU GPL v3 license.

  6. A Numerical Method for Analyzing Electromagnetic Scattering Properties of a Moving Conducting Object

    Directory of Open Access Journals (Sweden)

    Lei Kuang

    2014-01-01

    Full Text Available A novel numerical approach is developed to analyze electromagnetic scattering properties of a moving conducting object based on the finite-difference time-domain (FDTD algorithm. Relativistic boundary conditions are implemented into the FDTD algorithm to calculate the electromagnetic field on the moving boundary. An improved technique is proposed to solve the scattered field in order to improve the computational efficiency and stability of solutions. The time-harmonic scattered field from a one-dimensional moving conducting surface is first simulated by the proposed approach. Numerical results show that the amplitude and frequency of the scattered field suffer a modulation shift. Then the transient scattered field is calculated, and broadband electromagnetic scattering properties of the moving conducting surface are obtained by the fast Fourier transform (FFT. Finally, the scattered field from a two-dimensional moving square cylinder is analyzed. The numerical results demonstrate the Doppler effect of a moving conducting object. The simulated results agree well with analytical results.

  7. Image edge enhancement for moving objects with a spiral phase filter

    Science.gov (United States)

    Shan, Mingguang; Bao, Shanshan; Zhong, Zhi; Hao, Bengong; An, Chengquan

    2013-10-01

    A fast image edge enhancement method for moving objects is presented with a spiral phase filter using radial Hilbert transform theory. The spiral phase filter is placed in the Fourier plane of a 4f optical system, and used to process the spectral of objects image to achieve 2-D image edge enhancement of shape-free objects. All the directions of object edge can be enhanced similarly because there is a phase difference π along any diameter direction of the spiral phase filter. The results show that this method has good performance for enhancing the edge of moving objects. The advantages of this method are simple operations, clear edge images, high measurement speed and automatic measurement.

  8. Moving Object Segmentation Using Level Set Method with Shape Prior, Color and Texture

    Directory of Open Access Journals (Sweden)

    Shu Xian

    2013-10-01

    Full Text Available This paper presents a method for the combination of different feature cues in a level set based moving object segmentation framework. To distinguish object from background, motion detection is firstly adopted to locate object position and obtain coarse shape prior. Moreover, the color and texture feature descriptors that represent object contour are designed in this dissertation. Then the finer segmentation solution based on the color and texture difference between the object and background is proposed, which avoids the invalid feature components to hamper segmentation and improves the accuracy. Extensive experiments have been carried out on surveillance video sequences to validate the proposed method

  9. Dual Tracking Method for Real Time Object Tracking using Moving Camera

    Directory of Open Access Journals (Sweden)

    Shyam Lal

    2013-04-01

    Full Text Available This study presents dual tracking method for real time object tracking using a moving camera. A real time object tracking using self aligning servo mechanism with webcam, dual tracking and effective localization of object is presented. The proposed dual tracking method works in two phases: In first phase tracking is done by joint color texture histogram with mean shift and in second phase tracking is done by servo setup. The proposed dual tracking method enjoys the benefit of double tracking feature, not only tracking but also to find out the coordinates of the tracking object which is of particular interest. The coordinates of a moving object enable us to estimates the real time location of the object which is helpful in surveillance and shooting purposes of suspected person in security area. The tracking of some specific objects in real life is of particular interest. Due to its enhanced automation the proposed dual tracking method can be applied in public security, surveillance, robotics and traffic control etc. The experimental results demonstrate that the proposed dual tracking method improves greatly the tracking area with accuracy and efficiency and also successfully find the coordinates of moving object.

  10. Infant manual performance during reaching and grasping for objects moving in depth.

    Science.gov (United States)

    Domellöf, Erik; Barbu-Roth, Marianne; Rönnqvist, Louise; Jacquet, Anne-Yvonne; Fagard, Jacqueline

    2015-01-01

    Few studies have investigated manual performance in infants when reaching and grasping for objects moving in directions other than across the fronto-parallel plane. The present preliminary study explored object-oriented behavioral strategies and side preference in 8- and 10-month-old infants during reaching and grasping for objects approaching in depth from three positions (midline, and 27° diagonally from the left and right). Effects of task constraint by using objects of three different types and two sizes were further examined for behavioral strategies and hand opening prior to grasping. Additionally, assessments of hand preference by a dedicated handedness test were performed. Regardless of object starting position, the 8-month-old infants predominantly displayed right-handed reaches for objects approaching in depth. In contrast, the older infants showed more varied strategies and performed more ipsilateral reaches in correspondence with the side of the approaching object. Conversely, 10-month-old infants were more successful than the younger infants in grasping the objects, independent of object starting position. The findings regarding infant hand use strategies when reaching and grasping for objects moving in depth are similar to those from earlier studies using objects moving along a horizontal path. Still, initiation times of reaching onset were generally long in the present study, indicating that the object motion paths seemingly affected how the infants perceived the intrinsic properties and spatial locations of the objects, possibly with an effect on motor planning. Findings are further discussed in relation to future investigations of infant reaching and grasping for objects approaching in depth.

  11. Moving Object Tracking and Avoidance Algorithm for Differential Driving AGV Based on Laser Measurement Technology

    Directory of Open Access Journals (Sweden)

    Pandu Sandi Pratama

    2012-12-01

    Full Text Available This paper proposed an algorithm to track the obstacle position and avoid the moving objects for differential driving Automatic Guided Vehicles (AGV system in industrial environment. This algorithm has several abilities such as: to detect the moving objects, to predict the velocity and direction of moving objects, to predict the collision possibility and to plan the avoidance maneuver. For sensing the local environment and positioning, the laser measurement system LMS-151 and laser navigation system NAV-200 are applied. Based on the measurement results of the sensors, the stationary and moving obstacles are detected and the collision possibility is calculated. The velocity and direction of the obstacle are predicted using Kalman filter algorithm. Collision possibility, time, and position can be calculated by comparing the AGV movement and obstacle prediction result obtained by Kalman filter. Finally the avoidance maneuver using the well known tangent Bug algorithm is decided based on the calculation data. The effectiveness of proposed algorithm is verified using simulation and experiment. Several examples of experiment conditions are presented using stationary obstacle, and moving obstacles. The simulation and experiment results show that the AGV can detect and avoid the obstacles successfully in all experimental condition. [Keywords— Obstacle avoidance, AGV, differential drive, laser measurement system, laser navigation system].

  12. Object Oriented Modeling and Design

    Science.gov (United States)

    Shaykhian, Gholam Ali

    2007-01-01

    The Object Oriented Modeling and Design seminar is intended for software professionals and students, it covers the concepts and a language-independent graphical notation that can be used to analyze problem requirements, and design a solution to the problem. The seminar discusses the three kinds of object-oriented models class, state, and interaction. The class model represents the static structure of a system, the state model describes the aspects of a system that change over time as well as control behavior and the interaction model describes how objects collaborate to achieve overall results. Existing knowledge of object oriented programming may benefit the learning of modeling and good design. Specific expectations are: Create a class model, Read, recognize, and describe a class model, Describe association and link, Show abstract classes used with multiple inheritance, Explain metadata, reification and constraints, Group classes into a package, Read, recognize, and describe a state model, Explain states and transitions, Read, recognize, and describe interaction model, Explain Use cases and use case relationships, Show concurrency in activity diagram, Object interactions in sequence diagram.

  13. Object-relational mapping model

    OpenAIRE

    Žukauskas, Arūnas

    2007-01-01

    This work is analyzing problems, arising because of sematical gap between relational and object-oriented approaches and discusses how to utilize object-relational mapping for solving this problem. After analysis of object-relational mapping framework (further – ORM) principles and features of existing ORM frameworks a model is suggested, that allows to implement ORM by utilizing MVP principles in a way that retains major portion of both approach pros and is perfect for transitioning existing ...

  14. Effect of Fast Moving Object on RSSI in WSN: An Experimental Approach

    CERN Document Server

    Ahmed, Syed Hassan; Mehmood, Amjad; Javaid, Nadeem; Iwao, Sasase

    2012-01-01

    In this paper, we experimentally investigate the effect of fast moving object on the RSSI in the wireless sensor networks in presence of the ground effect and antenna orientation in elevation direction. In experimental setup, MICAz mote pair was placed on the ground, where one mote acts as a transmitter and the other as a receiver. The trans- mitter mote's antenna was oriented in elevation direction with respect to the receiver mote's antenna. The fast moving object i.e. car, was passed between the motes and the fluctuations in the RSSI are observed. The experimental results show some sequential pattern in RSSI fluctuations when car moves at some relatively slow speed. However, some irregu- larities were also observed when antenna was oriented at 45 and 90 in elevation direction.

  15. An integrated approach for visual analysis of a multisource moving objects knowledge base

    NARCIS (Netherlands)

    Willems, N.; van Hage, W.R.; de Vries, G.; Janssens, J.H.M.; Malaisé, V.

    2010-01-01

    We present an integrated and multidisciplinary approach for analyzing the behavior of moving objects. The results originate from an ongoing research of four different partners from the Dutch Poseidon project (Embedded Systems Institute (2007)), which aims to develop new methods for Maritime Safety a

  16. Processing of Extreme Moving-Object Update and Query Workloads in Main Memory

    DEFF Research Database (Denmark)

    Sidlauskas, Darius; Saltenis, Simonas; Jensen, Christian Søndergaard

    2014-01-01

    The efficient processing of workloads that interleave moving-object updates and queries is challenging. In addition to the conflicting needs for update-efficient versus query-efficient data structures, the increasing parallel capabilities of multi-core processors yield challenges. To prevent...

  17. Algorithm of search and track of static and moving large-scale objects

    Directory of Open Access Journals (Sweden)

    Kalyaev Anatoly

    2017-01-01

    Full Text Available We suggest an algorithm for processing of a sequence, which contains images of search and track of static and moving large-scale objects. The possible software implementation of the algorithm, based on multithread CUDA processing, is suggested. Experimental analysis of the suggested algorithm implementation is performed.

  18. Three-dimensional local ALE-FEM method for fluid flow in domains containing moving boundaries/objects interfaces

    Energy Technology Data Exchange (ETDEWEB)

    Carrington, David Bradley [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Monayem, A. K. M. [Univ. of New Mexico, Albuquerque, NM (United States); Mazumder, H. [Univ. of New Mexico, Albuquerque, NM (United States); Heinrich, Juan C. [Univ. of New Mexico, Albuquerque, NM (United States)

    2015-03-05

    A three-dimensional finite element method for the numerical simulations of fluid flow in domains containing moving rigid objects or boundaries is developed. The method falls into the general category of Arbitrary Lagrangian Eulerian methods; it is based on a fixed mesh that is locally adapted in the immediate vicinity of the moving interfaces and reverts to its original shape once the moving interfaces go past the elements. The moving interfaces are defined by separate sets of marker points so that the global mesh is independent of interface movement and the possibility of mesh entanglement is eliminated. The results is a fully robust formulation capable of calculating on domains of complex geometry with moving boundaries or devises that can also have a complex geometry without danger of the mesh becoming unsuitable due to its continuous deformation thus eliminating the need for repeated re-meshing and interpolation. Moreover, the boundary conditions on the interfaces are imposed exactly. This work is intended to support the internal combustion engines simulator KIVA developed at Los Alamos National Laboratories. The model's capabilities are illustrated through application to incompressible flows in different geometrical settings that show the robustness and flexibility of the technique to perform simulations involving moving boundaries in a three-dimensional domain.

  19. Evaluation of Content-Matched Range Monitoring Queries over Moving Objects in Mobile Computing Environments

    Directory of Open Access Journals (Sweden)

    HaRim Jung

    2015-09-01

    Full Text Available A content-matched (CM rangemonitoring query overmoving objects continually retrieves the moving objects (i whose non-spatial attribute values are matched to given non-spatial query values; and (ii that are currently located within a given spatial query range. In this paper, we propose a new query indexing structure, called the group-aware query region tree (GQR-tree for efficient evaluation of CMrange monitoring queries. The primary role of the GQR-tree is to help the server leverage the computational capabilities of moving objects in order to improve the system performance in terms of the wireless communication cost and server workload. Through a series of comprehensive simulations, we verify the superiority of the GQR-tree method over the existing methods.

  20. Video segmentation based on the presence and/or absence of moving objects

    Science.gov (United States)

    Nitsuwat, Supot; Jin, Jesse S.; Hudson, M. B.

    1999-08-01

    Video clip is the dominant component of multimedia system. However, video data are voluminous. An effective and efficient visual data management system is highly desired. Recent technology in digital video processing has moved to 'content-based' storage and retrieval. To detect meaningful area/region, using only production and camera operation- based detection is not enough. The contents of a video also have to be considered. The basic idea of this scheme is that if we can distinguish individual objects in the whole video sequence, we would be able to capture the changes in content throughout the sequences. Among many object features, motion content has been widely used as an important key in video storage and retrieval systems. Therefore, through motion- based representation, this paper will investigate an algorithm for sub-shot extraction and key-frame selection. From a given video sequence, first we segment the sequence into shots by using some of the production and camera operation-based detection techniques. Then, from the beginning of each shot, we calculate optical flow vectors by using complex wavelet phase-matching-based method on a pair of successive frames. Next, we segment each moving object based on these vectors using clustering in a competitive agglomeration scheme and represent them into a number of layers. After separating moving object(s) from each other for every frame in this shot, we extract sub-shots and select key-frames by using information about the presence and absence of moving object in each layer. Finally, these key-frames and sub-shots have been used to represent the whole video in panoramic mosaic-based representation form. Experimental results showing the significance of the proposed method are also provided.

  1. A Gyro-Free System for Measuring the Parameters of Moving Objects

    Directory of Open Access Journals (Sweden)

    Dichev Dimitar

    2014-10-01

    Full Text Available The present paper considers a new measurement concept of modeling measuring instruments for gyro-free determination of the parameters of moving objects. The proposed approach eliminates the disadvantages of the existing measuring instruments since it is based, on one hand, on a considerably simplified mechanical module, and on the other hand, on the advanced achievements in the area of nanotechnologies, microprocessor and computer equipment. A specific measuring system intended for measuring the trim, heel, roll, and pitch of a ship has been developed in compliance with the basic principles of this concept. The high dynamic accuracy of this measuring system is ensured by an additional measurement channel operating in parallel with the main channel. The operating principle of the additional measurement channel is based on an appropriate correction algorithm using signals from linear MEMS accelerometers. The presented results from the tests carried out by means of stand equipment in the form of a hexapod of six degrees of freedom prove the effectiveness of the proposed measurement concept

  2. Surveillance of Video to Detect Moving Objects Using Background Subtraction Algorithm

    Directory of Open Access Journals (Sweden)

    Ms. G. Selvi

    2013-03-01

    Full Text Available Video Surveillance is needed for governments and government organizations to maintain social control, recognize and notice threats, and prevent criminal activity. In our approach, frames are taken from video and are converted to images. For each pixel in the image, the values of that pixel that are stored previously at the same location is taken and it is compared with the current pixel value to determine the background pixel. Then background pixel is removed and only foreground pixels that comprises moving object are detected. When the pixel is found as a background pixel, then its value is transmitted into neighboring pixel’s background model. By this way, current frame is compared with available frames that are already stored in database. Our approach have efficiency in detection rate and computation speed. The algorithm called Vibe is used to find foreground pixels. Then we apply Temporal Difference technique to find foreground pixels. Performance is evaluated and compared for these two algorithms. It also requires a minimum of one comparison and per pixel one byte of memory is needed

  3. Segmentation of Moving Object Using Background Subtraction Method in Complex Environments

    Directory of Open Access Journals (Sweden)

    S. Kumar

    2016-06-01

    Full Text Available Background subtraction is an extensively used approach to localize the moving object in a video sequence. However, detecting an object under the spatiotemporal behavior of background such as rippling of water, moving curtain and illumination change or low resolution is not a straightforward task. To deal with the above-mentioned problem, we address a background maintenance scheme based on the updating of background pixels by estimating the current spatial variance along the temporal line. The work is focused to immune the variation of local motion in the background. Finally, the most suitable label assignment to the motion field is estimated and optimized by using iterated conditional mode (ICM under a Markovian framework. Performance evaluation and comparisons with the other well-known background subtraction methods show that the proposed method is unaffected by the problem of aperture distortion, ghost image, and high frequency noise.

  4. A note on moving average models for Gaussian random fields

    DEFF Research Database (Denmark)

    Hansen, Linda Vadgård; Thorarinsdottir, Thordis L.

    The class of moving average models offers a flexible modeling framework for Gaussian random fields with many well known models such as the Matérn covariance family and the Gaussian covariance falling under this framework. Moving average models may also be viewed as a kernel smoothing of a Lévy...

  5. Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects

    Science.gov (United States)

    Mandal, Saptarshi

    2016-01-01

    Design concepts and algorithms were developed to address the eye tracking analysis issues that arise when (1) participants interrogate dynamic multielement objects that can overlap on the display and (2) visual angle error of the eye trackers is incapable of providing exact eye fixation coordinates. These issues were addressed by (1) developing dynamic areas of interests (AOIs) in the form of either convex or rectangular shapes to represent the moving and shape-changing multielement objects, (2) introducing the concept of AOI gap tolerance (AGT) that controls the size of the AOIs to address the overlapping and visual angle error issues, and (3) finding a near optimal AGT value. The approach was tested in the context of air traffic control (ATC) operations where air traffic controller specialists (ATCSs) interrogated multiple moving aircraft on a radar display to detect and control the aircraft for the purpose of maintaining safe and expeditious air transportation. In addition, we show how eye tracking analysis results can differ based on how we define dynamic AOIs to determine eye fixations on moving objects. The results serve as a framework to more accurately analyze eye tracking data and to better support the analysis of human performance. PMID:27725830

  6. Moment feature based fast feature extraction algorithm for moving object detection using aerial images.

    Directory of Open Access Journals (Sweden)

    A F M Saifuddin Saif

    Full Text Available Fast and computationally less complex feature extraction for moving object detection using aerial images from unmanned aerial vehicles (UAVs remains as an elusive goal in the field of computer vision research. The types of features used in current studies concerning moving object detection are typically chosen based on improving detection rate rather than on providing fast and computationally less complex feature extraction methods. Because moving object detection using aerial images from UAVs involves motion as seen from a certain altitude, effective and fast feature extraction is a vital issue for optimum detection performance. This research proposes a two-layer bucket approach based on a new feature extraction algorithm referred to as the moment-based feature extraction algorithm (MFEA. Because a moment represents the coherent intensity of pixels and motion estimation is a motion pixel intensity measurement, this research used this relation to develop the proposed algorithm. The experimental results reveal the successful performance of the proposed MFEA algorithm and the proposed methodology.

  7. Indexing for Moving Objects in Multi-Floor Indoor Spaces That Supports Complex Semantic Queries

    Directory of Open Access Journals (Sweden)

    Hui Lin

    2016-09-01

    Full Text Available With the emergence of various types of indoor positioning technologies (e.g., radio-frequency identification, Wi-Fi, and iBeacon, how to rapidly retrieve indoor cells and moving objects has become a key factor that limits those indoor applications. Euclidean distance-based indexing techniques for outdoor moving objects cannot be used in indoor spaces due to the existence of indoor obstructions (e.g., walls. In addition, currently, the indexing of indoor moving objects is mainly based on space-related query and less frequently on semantic query. To address these two issues, the present study proposes a multi-floor adjacency cell and semantic-based index (MACSI. By integrating the indoor cellular space with the semantic space, the MACSI subdivides open cells (e.g., hallways and lobbies using space syntax and optimizes the adjacency distances between three-dimensionally connected cells (e.g., elevators and stairs based on the caloric cost that extends single floor indoor space to three dimensional indoor space. Moreover, based on the needs of semantic query, this study also proposes a multi-granularity indoor semantic hierarchy tree and establishes semantic trajectories. Extensive simulation and real-data experiments show that—compared with the indoor trajectories delta tree (ITD-tree and the semantic-based index (SI—the MACSI produces more reliable query results with significantly higher semantic query and update efficiencies; has superior semantic expansion capability; and supports multi-granularity complex semantic queries.

  8. Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects

    Directory of Open Access Journals (Sweden)

    Ziho Kang

    2016-01-01

    Full Text Available Design concepts and algorithms were developed to address the eye tracking analysis issues that arise when (1 participants interrogate dynamic multielement objects that can overlap on the display and (2 visual angle error of the eye trackers is incapable of providing exact eye fixation coordinates. These issues were addressed by (1 developing dynamic areas of interests (AOIs in the form of either convex or rectangular shapes to represent the moving and shape-changing multielement objects, (2 introducing the concept of AOI gap tolerance (AGT that controls the size of the AOIs to address the overlapping and visual angle error issues, and (3 finding a near optimal AGT value. The approach was tested in the context of air traffic control (ATC operations where air traffic controller specialists (ATCSs interrogated multiple moving aircraft on a radar display to detect and control the aircraft for the purpose of maintaining safe and expeditious air transportation. In addition, we show how eye tracking analysis results can differ based on how we define dynamic AOIs to determine eye fixations on moving objects. The results serve as a framework to more accurately analyze eye tracking data and to better support the analysis of human performance.

  9. Depth position detection for fast moving objects in sealed microchannel utilizing chromatic aberration.

    Science.gov (United States)

    Lin, Che-Hsin; Su, Shin-Yu

    2016-01-01

    This research reports a novel method for depth position measurement of fast moving objects inside a microfluidic channel based on the chromatic aberration effect. Two band pass filters and two avalanche photodiodes (APD) are used for rapid detecting the scattered light from the passing objected. Chromatic aberration results in the lights of different wavelengths focus at different depth positions in a microchannel. The intensity ratio of two selected bands of 430 nm-470 nm (blue band) and 630 nm-670 nm (red band) scattered from the passing object becomes a significant index for the depth information of the passing object. Results show that microspheres with the size of 20 μm and 2 μm can be resolved while using PMMA (Abbe number, V = 52) and BK7 (V = 64) as the chromatic aberration lens, respectively. The throughput of the developed system is greatly enhanced by the high sensitive APDs as the optical detectors. Human erythrocytes are also successfully detected without fluorescence labeling at a high flow velocity of 2.8 mm/s. With this approach, quantitative measurement for the depth position of rapid moving objects inside a sealed microfluidic channel can be achieved in a simple and low cost way.

  10. Verification of a thermal simulation tool for moving objects on the lunar surface

    Science.gov (United States)

    Hager, Philipp; Reiss, Philipp

    2013-04-01

    The thermal environment of the Moon is a challenge for the design and successful operation of rovers and scientific instruments, especially for dynamic, mobile situations. Examples range from transport and stability of volatile samples in transport devices at the lunar poles to an analysis instrument, to astronauts exploring varied terrain. A dynamic thermal simulation tool for moving objects on the lunar surface was created and its verification for several test cases against Lunar Reconnaissance Orbiter DIVINER brightness temperature data is presented here. The Thermal Moon Simulator (TherMoS) allows the prediction of incoming heat fluxes on a mobile object on the lunar surface and subsequent object temperatures. A model for regolith temperatures based on the models presented in [1,2] was set in a MATLAB simulation context. A time-marching numerical finite-difference approach was used to calculate the temperatures for log-distributed regolith depth nodes to a depth of 2m. The lunar interior heat flux was set to 0.033 [W ? m-2], based on the early publications of [3]. The incoming heat fluxes are calculated with a ray tracing algorithm. Parallel solar rays and their diffuse reflected components lead to the solar heat flux for each surface element. Additionally each surface element emits hemispherical, diffuse infrared rays that are absorbed by the object as well as other lunar surface elements. The lunar topography is represented in a triangular mesh. The topography is either derived from Kaguya LALT data or generated artificially. In the latter case craters and boulders are placed manually or randomly in a level terrain. This approach is restricted to bowl shaped primary craters with a boulder size and spatial distribution that takes into account the region (mare or highland) and the parent crater diameter [4,5,6]. A thermal boulder model is integrated, based on work performed by [7]. This model also uses a finite-difference numerical approach to compute boulder

  11. Efficient k-Nearest-Neighbor Search Algorithms for Historical Moving Object Trajectories

    Institute of Scientific and Technical Information of China (English)

    Yun-Jun Gao; Chun Li; Gen-Cai Chen; Ling Chen; Xian-Ta Jiang; Chun Chen

    2007-01-01

    k Nearest Neighbor (kNN) search is one of the most important operations in spatial and spatio-temporal databases. Although it has received considerable attention in the database literature, there is little prior work on kNN retrieval for moving object trajectories. Motivated by this observation, this paper studies the problem of efficiently processing kNN (k≥1) search on R-tree-like structures storing historical information about moving object trajectories. Two algorithms are developed based on best-first traversal paradigm, called BFPkNN and BFTkNN, which handle the kNN retrieval with respect to the static query point and the moving query trajectory, respectively. Both algorithms minimize the number of node access, that is, they perform a single access only to those qualifying nodes that may contain the final result. Aiming at saving main-memory consumption and reducing CPU cost further, several effective pruning heuristics are also presented. Extensive experiments with synthetic and real datasets confirm that the proposed algorithms in this paper outperform their competitors significantly in both efficiency and scalability.

  12. Long Baseline Stereovision for Automatic Detection and Ranging of Moving Objects in the Night Sky

    Directory of Open Access Journals (Sweden)

    Vlad Turcu

    2012-09-01

    Full Text Available As the number of objects in Earth’s atmosphere and in low Earth orbit is continuously increasing; accurate surveillance of these objects has become important. This paper presents a generic, low cost sky surveillance system based on stereovision. Two cameras are placed 37 km apart and synchronized by a GPS-controlled external signal. The intrinsic camera parameters are calibrated before setup in the observation position, the translation vectors are determined from the GPS coordinates and the rotation matrices are continuously estimated using an original automatic calibration methodology based on following known stars. The moving objects in the sky are recognized as line segments in the long exposure images, using an automatic detection and classification algorithm based on image processing. The stereo correspondence is based on the epipolar geometry and is performed automatically using the image detection results. The resulting experimental system is able to automatically detect moving objects such as planes, meteors and Low Earth Orbit satellites, and measure their 3D position in an Earth-bound coordinate system.

  13. Low cost, robust and real time system for detecting and tracking moving objects to automate cargo handling in port terminals

    NARCIS (Netherlands)

    Vaquero, V.; Repiso, E.; Sanfeliu, A.; Vissers, J.; Kwakkernaat, M.

    2016-01-01

    The presented paper addresses the problem of detecting and tracking moving objects for autonomous cargo handling in port terminals using a perception system which input data is a single layer laser scanner. A computationally low cost and robust Detection and Tracking Moving Objects (DATMO) algorithm

  14. Low cost, robust and real time system for detecting and tracking moving objects to automate cargo handling in port terminals

    NARCIS (Netherlands)

    Vaquero, V.; Repiso, E.; Sanfeliu, A.; Vissers, J.; Kwakkernaat, M.

    2016-01-01

    The presented paper addresses the problem of detecting and tracking moving objects for autonomous cargo handling in port terminals using a perception system which input data is a single layer laser scanner. A computationally low cost and robust Detection and Tracking Moving Objects (DATMO) algorithm

  15. Accurate location estimation of moving object with energy constraint & adaptive update algorithms to save data

    CERN Document Server

    Semwal, Vijay Bhaskar; Bhaskar, Vinay S; Sati, Meenakshi

    2011-01-01

    In research paper "Accurate estimation of the target location of object with energy constraint & Adaptive Update Algorithms to Save Data" one of the central issues in sensor networks is track the location, of moving object which have overhead of saving data, an accurate estimation of the target location of object with energy constraint .We do not have any mechanism which control and maintain data .The wireless communication bandwidth is also very limited. Some field which is using this technique are flood and typhoon detection, forest fire detection, temperature and humidity and ones we have these information use these information back to a central air conditioning and ventilation system. In this research paper, we propose protocol based on the prediction and adaptive based algorithm which is using less sensor node reduced by an accurate estimation of the target location. we are using minimum three sensor node to get the accurate position .We can extend it upto four or five to find more accurate location ...

  16. Feasibility study of synthetic aperture infrared laser radar techniques for imaging of static and moving objects.

    Science.gov (United States)

    Yoshikado, S; Aruga, T

    1998-08-20

    Techniques for two types of 10-mum band synthetic aperture infrared laser radar using a hypothetical reference point target (RPT) are presented. One is for imaging static objects with a single two-dimensional scanning aperture. Through the simple manipulation of a reference wave phase, a desired image can be obtained merely by the two-dimensional Fourier transformation of the correlator output between the intermediate frequency signals of the reference and object waves. The other, with a one-dimensional aperture array, is for moving objects that pass across the array direction without attitude change. We performed imaging by using a two-dimensional RPT correlation method. We demonstrate the capability of these methods for imaging and evaluate the necessary conditions for signal-to-noise ratio and random phase errors in signal reception through numerical simulations in terms of feasibility.

  17. Parallel main-memory indexing for moving-object query and update workloads

    DEFF Research Database (Denmark)

    Sidlauskas, Darius; Saltenis, Simonas; Jensen, Christian Søndergaard

    2012-01-01

    as combinations of deletions and insertions; thus, the query semantics guarantee that no objects are missed in query results. Empirical studies demonstrate that PGrid scales near-linearly with the number of hardware threads on four modern multi-core processors. Since both updates and queries are processed...... of supporting the location-related query and update workloads generated by very large populations of such moving objects. This paper presents a main-memory indexing technique that aims to support such workloads. The technique, called PGrid, uses a grid structure that is capable of exploiting the parallelism......, it avoids the stop-the-world problem that occurs when workload processing is interrupted to perform such snapshotting. Its concurrency control mechanism relies instead on hardware-assisted atomic updates as well as object-level copying, and it treats updates as non-divisible operations rather than...

  18. POMP - Pervasive Object Model Project

    DEFF Research Database (Denmark)

    Schougaard, Kari Rye; Schultz, Ulrik Pagh

    applications, we consider it essential that a standard object-oriented style of programming can be used for those parts of the application that do not concern its mobility. This position paper describes an ongoing effort to implement a language and a virtual machine for applications that execute in a pervasive...... mobility. Mobile agent platforms are often based on such virtual machines, but typically do not provide strong mobility (the ability to migrate at any program point), and have limited support for multi-threaded applications, although there are exceptions. For a virtual machine to support mobile...... computing environment. This system, named POM (Pervasive Object Model), supports applications split into coarse-grained, strongly mobile units that communicate using method invocations through proxies. We are currently investigating efficient execution of mobile applications, scalability to suit...

  19. Compressed domain moving object extraction algorithm for MPEG-2 video stream

    Science.gov (United States)

    Yang, Gaobo; Wang, Xiaojing; Zhang, Zhaoyang

    2007-11-01

    In this paper, a compressed domain moving object extraction algorithm is proposed for MPEG-2 video stream. It is mainly based on the histogram analysis of motion vectors, which can be easily obtained by partially decoding the MPEG-2 video stream. The whole algorithm framework can be divided into three key steps: motion vector pre-processing, histogram analysis of motion vector and motion vector similarity based region growing for final mask generation. A piecewise cubic hermit interpolation is utilized to form a dense motion field. The outputs of region growing algorithm based on similarity matching are the final segmentation results of moving object. These final segmentation results are further smoothed and interpolated by B-spline curve estimation. Experimental results on several test sequences demonstrate that desirable segmentation results are obtained. The accuracy of segmentation results is improved obviously, nearly to pixel level accuracy because of B-spline curve representation of segmented object. For segmentation efficiency, the processing speed is about 30ms per frame, which can meet the requirements of real time applications.

  20. Wakes and precursor soliton excitations by a moving charged object in a plasma

    CERN Document Server

    Tiwari, Sanat Kumar

    2015-01-01

    We study the evolution of nonlinear ion acoustic wave excitations due to a moving charged source in a plasma. Our numerical investigations of the full set of cold fluid equations goes beyond the usual weak nonlinearity approximation and shows the existence of a rich variety of solutions including wakes, precursor solitons and pinned solitons that travel with the source velocity. These solutions represent a large amplitude generalization of solutions obtained in the past for the forced Korteweg deVries equation and can find useful applications in a variety of situations in the laboratory and in space wherever there is a large relative velocity between the plasma and a charged object.

  1. Functional inactivation of the rat hippocampus disrupts avoidance of a moving object.

    Science.gov (United States)

    Telensky, Petr; Svoboda, Jan; Blahna, Karel; Bureš, Jan; Kubik, Stepan; Stuchlik, Ales

    2011-03-29

    The hippocampus is well known for its critical involvement in spatial memory and information processing. In this study, we examined the effect of bilateral hippocampal inactivation with tetrodotoxin (TTX) in an "enemy avoidance" task. In this paradigm, a rat foraging on a circular platform (82 cm diameter) is trained to avoid a moving robot in 20-min sessions. Whenever the rat is located within 25 cm of the robot's center, it receives a mild electrical foot shock, which may be repeated until the subject makes an escape response to a safe distance. Seventeen young male Long-Evans rats were implanted with cannulae aimed at the dorsal hippocampus 14 d before the start of the training. After 6 d of training, each rat received a bilateral intrahippocampal infusion of TTX (5 ng in 1 μL) 40 min before the training session on day 7. The inactivation severely impaired avoidance of a moving robot (n = 8). No deficit was observed in a different group of rats (n = 9) that avoided a stable robot that was only displaced once in the middle of the session, showing that the impairment was not due to a deficit in distance estimation, object-reinforcement association, or shock sensitivity. This finding suggests a specific role of the hippocampus in dynamic cognitive processes required for flexible navigation strategies such as continuous updating of information about the position of a moving stimulus.

  2. Moving Behavior of an Object in Gas-Solid Fluidized Beds

    Institute of Scientific and Technical Information of China (English)

    WEI Lu-bin; WANG Geng-yu; HAO Liang; ZHAO Yue-min

    2005-01-01

    The settling behavior of coarse particles in a gas-solid fluidized bed was experimentally studied by using magnetic tracer. It is well known that the calculation of terminal velocity is of interest in dense medium separation.However, this problem has not been completely solved up to now. In this work, the terminal velocity of an object moving in a gas-solid fluidized bed was experimentally measured and theoretically calculated. The experimental results in dicated that the plastic viscosity and yield stress of the bed increase as the size of fluidized particles increases, but it varies little when some coarser particles are mixed with the fluidized particles. The resistance to a rising object was an order magnitude greater than that to a settling object. The efficient buoyancy on a flaky object, which lies flatly on the gas distributor, was much less than that calculated by the Archimedes' principle. The object does not always rise or set tle with minimal projective area owing to radial motion of the fluidized particles. But in the lower part of the bed, the bar-shaped objects were likely with minimal projective area rising or settling.

  3. A shortest path algorithm for moving objects in spatial network databases

    Institute of Scientific and Technical Information of China (English)

    Xiaolan Yin; Zhiming Ding; Jing Li

    2008-01-01

    One of the most important kinds of queries in Spatial Network Databases (SNDB) to support location-based services (LBS) is the shortest path query. Given an object in a network, e.g. A location of a car on a road network, and a set of objects of interests, e.g. Hotels,gas station, and car, the shortest path query returns the shortest path from the query object to interested objects. The studies of shortest path query have two kinds of ways, online processing and preprocessing. The studies of preprocessing suppose that the interest objects are static. This paper proposes a shortest path algorithm with a set of index structures to support the situation of moving objects. This algorithm can transform a dynamic problem to a static problem. In this paper we focus on road networks. However, our algorithms do not use any domain specific information, and therefore can be applied to any network. This algorithm's complexity is O(klog2i), and traditional Dijkstra's complexity is O((I + k)2).

  4. A novel method of object detection from a moving camera based on image matching and frame coupling.

    Directory of Open Access Journals (Sweden)

    Yong Chen

    Full Text Available A new method based on image matching and frame coupling to handle the problems of object detection caused by a moving camera and object motion is presented in this paper. First, feature points are extracted from each frame. Then, motion parameters can be obtained. Sub-images are extracted from the corresponding frame via these motion parameters. Furthermore, a novel searching method for potential orientations improves efficiency and accuracy. Finally, a method based on frame coupling is adopted, which improves the accuracy of object detection. The results demonstrate the effectiveness and feasibility of our proposed method for a moving object with changing posture and with a moving camera.

  5. GSM-MRF based classification approach for real-time moving object detection

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Statistical and contextual information are typically used to detect moving regions in image sequences for a fixed camera. In this paper, we propose a fast and stable linear discriminant approach based on Gaussian Single Model (GSM) and Markov Random Field (MRF). The performance of GSM is analyzed first, and then two main improvements corresponding to the drawbacks of GSM are proposed: the latest filtered data based update scheme of the background model and the linear classification judgment rule based on spatial-temporal feature specified by MRF. Experimental results show that the proposed method runs more rapidly and accurately when compared with other methods.

  6. Moving Objects Trajectoty Prediction Based on Artificial Neural Network Approximator by Considering Instantaneous Reaction Time, Case Study: CAR Following

    Science.gov (United States)

    Poor Arab Moghadam, M.; Pahlavani, P.

    2015-12-01

    Car following models as well-known moving objects trajectory problems have been used for more than half a century in all traffic simulation software for describing driving behaviour in traffic flows. However, previous empirical studies and modeling about car following behavior had some important limitations. One of the main and clear defects of the introduced models was the very large number of parameters that made their calibration very time-consuming and costly. Also, any change in these parameters, even slight ones, severely disrupted the output. In this study, an artificial neural network approximator was used to introduce a trajectory model for vehicle movements. In this regard, the Levenberg-Marquardt back propagation function and the hyperbolic tangent sigmoid function were employed as the training and the transfer functions, respectively. One of the important aspects in identifying driver behavior is the reaction time. This parameter shows the period between the time the driver recognizes a stimulus and the time a suitable response is shown to that stimulus. In this paper, the actual data on car following from the NGSIM project was used to determine the performance of the proposed model. This dataset was used for the purpose of expanding behavioral algorithm in micro simulation. Sixty percent of the data was entered into the designed artificial neural network approximator as the training data, twenty percent as the testing data, and twenty percent as the evaluation data. A statistical and a micro simulation method were employed to show the accuracy of the proposed model. Moreover, the two popular Gipps and Helly models were implemented. Finally, it was shown that the accuracy of the proposed model was much higher - and its computational costs were lower - than those of other models when calibration operations were not performed on these models. Therefore, the proposed model can be used for displaying and predicting trajectories of moving objects being

  7. MOVING OBJECTS TRAJECTOTY PREDICTION BASED ON ARTIFICIAL NEURAL NETWORK APPROXIMATOR BY CONSIDERING INSTANTANEOUS REACTION TIME, CASE STUDY: CAR FOLLOWING

    Directory of Open Access Journals (Sweden)

    M. Poor Arab Moghadam

    2015-12-01

    Full Text Available Car following models as well-known moving objects trajectory problems have been used for more than half a century in all traffic simulation software for describing driving behaviour in traffic flows. However, previous empirical studies and modeling about car following behavior had some important limitations. One of the main and clear defects of the introduced models was the very large number of parameters that made their calibration very time-consuming and costly. Also, any change in these parameters, even slight ones, severely disrupted the output. In this study, an artificial neural network approximator was used to introduce a trajectory model for vehicle movements. In this regard, the Levenberg-Marquardt back propagation function and the hyperbolic tangent sigmoid function were employed as the training and the transfer functions, respectively. One of the important aspects in identifying driver behavior is the reaction time. This parameter shows the period between the time the driver recognizes a stimulus and the time a suitable response is shown to that stimulus. In this paper, the actual data on car following from the NGSIM project was used to determine the performance of the proposed model. This dataset was used for the purpose of expanding behavioral algorithm in micro simulation. Sixty percent of the data was entered into the designed artificial neural network approximator as the training data, twenty percent as the testing data, and twenty percent as the evaluation data. A statistical and a micro simulation method were employed to show the accuracy of the proposed model. Moreover, the two popular Gipps and Helly models were implemented. Finally, it was shown that the accuracy of the proposed model was much higher - and its computational costs were lower - than those of other models when calibration operations were not performed on these models. Therefore, the proposed model can be used for displaying and predicting trajectories of moving

  8. Automatic Recognition Of Moving Objects And Its Application To A Robot For Picking Asparagus

    Science.gov (United States)

    Baylou, P.; Amor, B. El Hadj; Bousseau, G.

    1983-10-01

    After a brief description of the robot for picking white asparagus, a statistical study of the different shapes of asparagus tips allowed us to determine certain discriminating parameters to detect the tips as they appear on the silhouette of the mound of earth. The localisation was done stereometrically with the help of two cameras. As the robot carrying the system of vision-localisation moves, the images are altered and decision cri-teria modified. A study of the image from mobile objects produced by both tube and CCD came-ras was carried out. A simulation of this phenomenon has been achieved in order to determine the modifications concerning object shapes, thresholding levels and decision parameters in function of the robot speed.

  9. Detecting multiple moving objects in crowded environments with coherent motion regions

    Science.gov (United States)

    Cheriyadat, Anil M.; Radke, Richard J.

    2013-06-11

    Coherent motion regions extend in time as well as space, enforcing consistency in detected objects over long time periods and making the algorithm robust to noisy or short point tracks. As a result of enforcing the constraint that selected coherent motion regions contain disjoint sets of tracks defined in a three-dimensional space including a time dimension. An algorithm operates directly on raw, unconditioned low-level feature point tracks, and minimizes a global measure of the coherent motion regions. At least one discrete moving object is identified in a time series of video images based on the trajectory similarity factors, which is a measure of a maximum distance between a pair of feature point tracks.

  10. Self-consistent theory of capillarity-wave generation by small moving objects

    CERN Document Server

    Chepelianskii, A D; Chevy, F; Raphaël, E

    2009-01-01

    We investigate theoretically the onset of capillary-gravity waves created by a small object moving at the water-air interface. It is well established that, for straight uniform motion, no steady waves appear at velocities below the minimum phase velocity $c_\\text{min} = 23 {\\rm cm/s}$. At higher velocities the emission of capillary-gravity waves creates an additional drag force. The behavior of this force near the critical velocity is still poorly understood. A linear response theory where the object is replaced by an effective pressure source predicts a singular behavior for the wave drag. However, experimental data tends to indicate a more continuous transition. In this article, we show that a proper treatment of the flow equations around the obstacle can regularize wave emission, even in the linear wave approximation, thereby ensuring a continuous behavior of the drag force.

  11. Distributed Object Medical Imaging Model

    Directory of Open Access Journals (Sweden)

    Ahmad Shukri Mohd Noor

    2009-09-01

    Full Text Available Digital medical informatics and images are commonly used in hospitals today. Because of the interrelatedness of the radiology department and other departments, especially the intensive care unit and emergency department, the transmission and sharing of medical images has become a critical issue. Our research group has developed a Java-based Distributed Object Medical Imaging Model(DOMIM to facilitate the rapid development and deployment of medical imaging applications in a distributed environment that can be shared and used by related departments and mobile physiciansDOMIM is a unique suite of multimedia telemedicine applications developed for the use by medical related organizations. The applications support realtime patients' data, image files, audio and video diagnosis annotation exchanges. The DOMIM enables joint collaboration between radiologists and physicians while they are at distant geographical locations. The DOMIM environment consists of heterogeneous, autonomous, and legacy resources. The Common Object Request Broker Architecture (CORBA, Java Database Connectivity (JDBC, and Java language provide the capability to combine the DOMIM resources into an integrated, interoperable, and scalable system. The underneath technology, including IDL ORB, Event Service, IIOP JDBC/ODBC, legacy system wrapping and Java implementation are explored. This paper explores a distributed collaborative CORBA/JDBC based framework that will enhance medical information management requirements and development. It encompasses a new paradigm for the delivery of health services that requires process reengineering, cultural changes, as well as organizational changes.

  12. Distributed Object Medical Imaging Model

    CERN Document Server

    Noor, Ahmad Shukri Mohd

    2009-01-01

    Digital medical informatics and images are commonly used in hospitals today,. Because of the interrelatedness of the radiology department and other departments, especially the intensive care unit and emergency department, the transmission and sharing of medical images has become a critical issue. Our research group has developed a Java-based Distributed Object Medical Imaging Model(DOMIM) to facilitate the rapid development and deployment of medical imaging applications in a distributed environment that can be shared and used by related departments and mobile physiciansDOMIM is a unique suite of multimedia telemedicine applications developed for the use by medical related organizations. The applications support realtime patients' data, image files, audio and video diagnosis annotation exchanges. The DOMIM enables joint collaboration between radiologists and physicians while they are at distant geographical locations. The DOMIM environment consists of heterogeneous, autonomous, and legacy resources. The Common...

  13. Super resolution reconstruction of moving objects from low resolution surveillance video

    Institute of Scientific and Technical Information of China (English)

    Wang Suyu; Shen Lansun; David Daganfeng; Li Xiaoguang

    2008-01-01

    Construction of high resolution images from low resolution sequences having rigid or semi-rigid objects with unified motions is often important in surveillance and other applications. In this paper a novel object-based super resolution reconstruction scheme was proposed, in which a six-parameter affine model-based object tracking and registration method was first used to segment and match objects among a sequence of low resolution frames. The motion model was then further extended to the traditional maximum a posterior (MAP) super resolution algorithm. The proposed object tracking and registration method was evaluated by both simulated and real acquired sequences. The results have demonstrated the high accuracy of the proposed object based method and the enhanced reconstruction performance of the extended approach.

  14. Reach-to-grasp interjoint coordination for moving object in children with hemiplegia.

    Science.gov (United States)

    Petrarca, Maurizio; Zanelli, Giulia; Patanè, Fabrizio; Frascarelli, Flaminia; Cappa, Paolo; Castelli, Enrico

    2009-11-01

    To evaluate interjoint coordination in children with hemiplegia as they reach to grasp objects, in both static and dynamic conditions. An ad hoc robotic device was used to study the dynamic condition. Observational study. Six children with hemiplegia and 6 young adults. Kinematics of the trunk and arm were studied using an optoelectronic system. In the dynamic condition the target object, a cup, was moved by the robotic device along clockwise and counterclockwise circular trajectories. Two main strategies were used to study the onset and offset of shoulder and elbow movements and their maximum velocities. The hand velocity profile was bell-shaped in the static condition and compatible with ramp movements for the more affected side in the dynamic condition. The time to object contact was higher for the more affected side in the dynamic condition. The temporal coordination index illustrated an immature and less flexible behaviour in children's reaching in all the examined conditions. Study of the hand velocity profiles, the time to object contact and the temporal coordination index highlighted, first, the dependence of upper limb interjoint coordination on task, context, residual resources and individual solution, and secondly, the sensory-motor deficit characteristics of the children's more affected side during dynamic reaching, raising the prospect of a promising training context in children with hemiplegia.

  15. Binocular visual tracking and grasping of a moving object with a 3D trajectory predictor

    Directory of Open Access Journals (Sweden)

    J. Fuentes‐Pacheco

    2009-12-01

    Full Text Available This paper presents a binocular eye‐to‐hand visual servoing system that is able to track and grasp a moving object in real time.Linear predictors are employed to estimate the object trajectory in three dimensions and are capable of predicting futurepositions even if the object is temporarily occluded. For its development we have used a CRS T475 manipulator robot with sixdegrees of freedom and two fixed cameras in a stereo pair configuration. The system has a client‐server architecture and iscomposed of two main parts: the vision system and the control system. The vision system uses color detection to extract theobject from the background and a tracking technique based on search windows and object moments. The control system usesthe RobWork library to generate the movement instructions and to send them to a C550 controller by means of the serial port.Experimental results are presented to verify the validity and the efficacy of the proposed visual servoing system.

  16. A unified computational model of the development of object unity, object permanence, and occluded object trajectory perception.

    Science.gov (United States)

    Franz, A; Triesch, J

    2010-12-01

    The perception of the unity of objects, their permanence when out of sight, and the ability to perceive continuous object trajectories even during occlusion belong to the first and most important capacities that infants have to acquire. Despite much research a unified model of the development of these abilities is still missing. Here we make an attempt to provide such a unified model. We present a recurrent artificial neural network that learns to predict the motion of stimuli occluding each other and that develops representations of occluded object parts. It represents completely occluded, moving objects for several time steps and successfully predicts their reappearance after occlusion. This framework allows us to account for a broad range of experimental data. Specifically, the model explains how the perception of object unity develops, the role of the width of the occluders, and it also accounts for differences between data for moving and stationary stimuli. We demonstrate that these abilities can be acquired by learning to predict the sensory input. The model makes specific predictions and provides a unifying framework that has the potential to be extended to other visual event categories.

  17. Optical measurements of the laser-inducedultrasonic waves on moving objects.

    Science.gov (United States)

    Pozar, Tomaz; Gregorcic, Peter; Mozina, Janez

    2009-12-07

    We performed a single-shot, contactless measurement of ultrasonic waves on a laser-propelled rod with a homodyne quadrature laser interferometer (HQLI) during the entire duration of its motion. This is the first such experimental demonstration of the laser-induced motion of an elastic body where the most important mechanisms that reveal the nature of its motion are presented and explained. Furthermore, these measurements quantitatively demonstrate that the HQLI is an appropriate tool for monitoring high-amplitude (1.3 microm) and high-frequency (200 MHz) ultrasonic waves on moving objects. The applicability of the HQLI can also be extended to measure other optodynamic and high-frequency transient phenomena with a constant sensitivity and a resolution below 1 nm.

  18. Polarization sensitivity in the red swamp crayfish Procambarus clarkii enhances the detection of moving transparent objects.

    Science.gov (United States)

    Tuthill, John C; Johnsen, Sönke

    2006-05-01

    We tested the hypothesis that polarization sensitivity enhances the detection of moving, transparent objects by examining the escape response of the red swamp crayfish (Procambarus clarkii Girard) from a visual threat. A transparent, birefringent target trans-illuminated by either partially linear polarized or unpolarized light was advanced toward individual crayfish. The optical axis of the target was aligned such that it would be conspicuous to a viewer with polarization sensitivity when trans-illuminated by polarized light. Under polarized light, significantly more crayfish retreated from the target than under unpolarized light of identical intensity (Pcrayfish Pasifastacus leniusculus (Dana), our results provide the first behavioral evidence for polarization sensitivity among crayfish. The ecological function of this ability is unclear, but it may enhance the detection of fish with silvered scales, transparent zooplankton or macroinvertebrates. Because escape responses are generally more reliably induced than other behaviors, the method employed in this study may prove useful for examining sensory capabilities in other species.

  19. Pixel Intensity Based Cumulative Features for Moving Object Tracking (MOT) in Darkness

    Science.gov (United States)

    Saba, Tanzila

    2016-06-01

    Moving Object Tracking (MOT) is one of the frequent used tasks in computer vision systems and on the same time a challenging issue particularly in darkness. Vehicle tracking involves finding new position of vehicles in consecutive frames. This paper presents MOT algorithm that is developed for advanced driver safety applications like automatic high beam control, forward collision warning. Accordingly, the proposed approach targets vehicle tracking in the dark environment. Hence, a camera is mounted on the host vehicle to capture video frames of the traffic ahead. The scope involves tracking of both oncoming and preceding vehicles. The vehicles are tracked in consecutive frames using grayscale information and robust structure features. The features representation of the vehicle region is based on cumulative pixel intensity information. The implementation for feature extraction is optimized by using a dynamic programming approach to meet the constraints of a real time application. Simulation results thus obtained are promising in state of the art.

  20. Does interpersonal movement synchronization differ from synchronization with a moving object?

    Science.gov (United States)

    Ouwehand, P Elma W; Peper, C Lieke E

    2015-10-01

    We examined whether movement synchronization is different during coordination with another person than during coordination with a moving object. In addition, the influence of belief in the other person's agency was assessed. Participants synchronized their lower-arm movements with a computer-controlled rhythmic reference movement. The reference movements were pre-recorded, biological movements and were identical in all conditions. They were presented either by means of a confederate's arm in a motor-driven manipulandum or by means of movements of the manipulandum alone. To assess the influence of the belief in the confederate's agency, participants either were or were not informed that the confederate's movements were motor driven. The strength of coupling between the participant's movements and the reference movements was assessed in terms of the standard deviation of relative phase and the time needed to re-establish the coordination pattern after an unexpected perturbation of the reference signal. Mean relative phase indicated whether the participant was leading or lagging the reference movements. Coupling strength was not affected by the presence of another person in the coordination task, nor by the belief in this person's agency. However, participants had a stronger tendency to lead while synchronizing with the manipulandum, indicating that they responded differently to the observed kinematics of this moving object than to the kinematics of the confederate's arm movements, at least when the confederate's agency was assumed. Hence, although neither the involvement of another person nor the participant's belief in this person's agency affected coupling strength, the form of the coupling seemed to be influenced by the former factor, suggesting a different attunement to the reference movements during a joint-action situation. Future research is required to determine whether these interpretations extend to unintentional and bidirectional coordination, in which

  1. The Massive Schwinger Model in a Fast Moving Frame

    OpenAIRE

    1998-01-01

    We present a non-perturbative study of the massive Schwinger model. We use a Hamiltonian approach, based on a momentum lattice corresponding to a fast moving reference frame, and equal time quantization.

  2. Medical image segmentation using object atlas versus object cloud models

    Science.gov (United States)

    Phellan, Renzo; Falcão, Alexandre X.; Udupa, Jayaram K.

    2015-03-01

    Medical image segmentation is crucial for quantitative organ analysis and surgical planning. Since interactive segmentation is not practical in a production-mode clinical setting, automatic methods based on 3D object appearance models have been proposed. Among them, approaches based on object atlas are the most actively investigated. A key drawback of these approaches is that they require a time-costly image registration process to build and deploy the atlas. Object cloud models (OCM) have been introduced to avoid registration, considerably speeding up the whole process, but they have not been compared to object atlas models (OAM). The present paper fills this gap by presenting a comparative analysis of the two approaches in the task of individually segmenting nine anatomical structures of the human body. Our results indicate that OCM achieve a statistically significant better accuracy for seven anatomical structures, in terms of Dice Similarity Coefficient and Average Symmetric Surface Distance.

  3. Modeling cell behavior: moving beyond intuition

    Directory of Open Access Journals (Sweden)

    Mario Jolicoeur

    2014-04-01

    Full Text Available In the context of the launching of this new journal, we propose a forum to the community of researchers interested and involved in, or even simply questioning the why, what, how, and when of modeling cell or cell culture behavior. To start the discussion, we review some of the usual questions we are routinely asked on the pertinence of modeling cell behavior, and on who might benefit from conducting such work. To draw a global portrait, throughout this text we refer the reader to handbooks introducing the basics of modeling a biosystem, as well as to selected works that can help visualize the broad fields of applications.

  4. Tracking 3D Moving Objects Based on GPS/IMU Navigation Solution, Laser Scanner Point Cloud and GIS Data

    Directory of Open Access Journals (Sweden)

    Siavash Hosseinyalamdary

    2015-07-01

    Full Text Available Monitoring vehicular road traffic is a key component of any autonomous driving platform. Detecting moving objects, and tracking them, is crucial to navigating around objects and predicting their locations and trajectories. Laser sensors provide an excellent observation of the area around vehicles, but the point cloud of objects may be noisy, occluded, and prone to different errors. Consequently, object tracking is an open problem, especially for low-quality point clouds. This paper describes a pipeline to integrate various sensor data and prior information, such as a Geospatial Information System (GIS map, to segment and track moving objects in a scene. We show that even a low-quality GIS map, such as OpenStreetMap (OSM, can improve the tracking accuracy, as well as decrease processing time. A bank of Kalman filters is used to track moving objects in a scene. In addition, we apply non-holonomic constraint to provide a better orientation estimation of moving objects. The results show that moving objects can be correctly detected, and accurately tracked, over time, based on modest quality Light Detection And Ranging (LiDAR data, a coarse GIS map, and a fairly accurate Global Positioning System (GPS and Inertial Measurement Unit (IMU navigation solution.

  5. The infrared moving object detection and security detection related algorithms based on W4 and frame difference

    Science.gov (United States)

    Yin, Jiale; Liu, Lei; Li, He; Liu, Qiankun

    2016-07-01

    This paper presents the infrared moving object detection and security detection related algorithms in video surveillance based on the classical W4 and frame difference algorithm. Classical W4 algorithm is one of the powerful background subtraction algorithms applying to infrared images which can accurately, integrally and quickly detect moving object. However, the classical W4 algorithm can only overcome the deficiency in the slight movement of background. The error will become bigger and bigger for long-term surveillance system since the background model is unchanged once established. In this paper, we present the detection algorithm based on the classical W4 and frame difference. It cannot only overcome the shortcoming of falsely detecting because of state mutations from background, but also eliminate holes caused by frame difference. Based on these we further design various security detection related algorithms such as illegal intrusion alarm, illegal persistence alarm and illegal displacement alarm. We compare our method with the classical W4, frame difference, and other state-of-the-art methods. Experiments detailed in this paper show the method proposed in this paper outperforms the classical W4 and frame difference and serves well for the security detection related algorithms.

  6. Robust skin color-based moving object detection for video surveillance

    Science.gov (United States)

    Kaliraj, Kalirajan; Manimaran, Sudha

    2016-07-01

    Robust skin color-based moving object detection for video surveillance is proposed. The objective of the proposed algorithm is to detect and track the target under complex situations. The proposed framework comprises four stages, which include preprocessing, skin color-based feature detection, feature classification, and target localization and tracking. In the preprocessing stage, the input image frame is smoothed using averaging filter and transformed into YCrCb color space. In skin color detection, skin color regions are detected using Otsu's method of global thresholding. In the feature classification, histograms of both skin and nonskin regions are constructed and the features are classified into foregrounds and backgrounds based on Bayesian skin color classifier. The foreground skin regions are localized by a connected component labeling process. Finally, the localized foreground skin regions are confirmed as a target by verifying the region properties, and nontarget regions are rejected using the Euler method. At last, the target is tracked by enclosing the bounding box around the target region in all video frames. The experiment was conducted on various publicly available data sets and the performance was evaluated with baseline methods. It evidently shows that the proposed algorithm works well against slowly varying illumination, target rotations, scaling, fast, and abrupt motion changes.

  7. OMTROLL - Object Modeling in Troll

    NARCIS (Netherlands)

    Lipeck, Udo W.; Wieringa, Roelf J.; Koschorrek, G.; Jungclaus, R.; Hartel, P.; Saake, G.; Hartmann, T.

    We make an attempt to use concepts of the OMT analysis stage to develop formal object-oriented specifications in the Troll language. The purpose is twofold: on the one hand, ambiguities, vaguenesses, etc.\\ in OMT (and other OOA approaches) can be discovered and eliminated easier; furthermore, clear

  8. OMTROLL - Object Modeling in Troll

    NARCIS (Netherlands)

    Wieringa, R.J.; Jungclaus, R.; Hartel, P.; Saake, G.; Hartmann, T.; Lipeck, Udo W.; Koschorrek, G.

    1993-01-01

    We make an attempt to use concepts of the OMT analysis stage to develop formal object-oriented specifications in the Troll language. The purpose is twofold: on the one hand, ambiguities, vaguenesses, etc. in OMT (and other OOA approaches) can be discovered and eliminated easier; furthermore, clear s

  9. Determination of quasi-static microaccelerations onboard a satellite using video images of moving objects

    Science.gov (United States)

    Levtov, V. L.; Romanov, V. V.; Boguslavsky, A. A.; Sazonov, V. V.; Sokolov, S. M.; Glotov, Yu. N.

    2009-12-01

    A space experiment aimed at determination of quasi-static microaccelerations onboard an artificial satellite of the Earth using video images of the objects executing free motion is considered. The experiment was carried out onboard the Foton M-3 satellite. Several pellets moved in a cubic box fixed on the satellite’s mainframe and having two transparent adjacent walls. Their motion was photographed by a digital video camera. The camera was installed facing one of the transparent walls; a mirror was placed at an angle to another transparent wall. Such an optical system allowed us to have in a single frame two images of the pellets from differing viewpoints. The motion of the pellets was photographed on time intervals lasting 96 s. Pauses between these intervals were also equal to 96 s. A special processing of a separate image allowed us to determine coordinates of the pellet centers in the camera’s coordinate system. The sequence of frames belonging to a continuous interval of photography was processed in the following way. The time dependence of each coordinate of every pellet was approximated by a second degree polynomial using the least squares method. The coefficient of squared time is equal to a half of the corresponding microacceleration component. As has been shown by processing made, the described method of determination of quasi-static microaccelerations turned out to be sufficiently sensitive and accurate.

  10. Moving object detection based on on-line block-robust principal component analysis decomposition

    Science.gov (United States)

    Yang, Biao; Cao, Jinmeng; Zou, Ling

    2017-07-01

    Robust principal component analysis (RPCA) decomposition is widely applied in moving object detection due to its ability in suppressing environmental noises while separating sparse foreground from low rank background. However, it may suffer from constant punishing parameters (resulting in confusion between foreground and background) and holistic processing of all input frames (leading to bad real-time performance). Improvements to these issues are studied in this paper. A block-RPCA decomposition approach was proposed to handle the confusion while separating foreground from background. Input frame was initially separated into blocks using three-frame difference. Then, punishing parameter of each block was computed by its motion saliency acquired based on selective spatio-temporal interesting points. Aiming to improve the real-time performance of the proposed method, an on-line solution to block-RPCA decomposition was utilized. Both qualitative and quantitative tests were implemented and the results indicate the superiority of our method to some state-of-the-art approaches in detection accuracy or real-time performance, or both of them.

  11. Newton on objects moving in a fluid—the penetration length

    Science.gov (United States)

    Saslow, Wayne M.; Lu, Hong

    2008-07-01

    We solve for the motion of an object with initial velocity v0 and subject only to the combined drag of forces linear and quadratic in the velocity. This problem was treated briefly by Newton, after he developed a theoretical argument for the quadratic term, which we now know is characteristic of turbulent flow. Linear drag introduces a time τ, and the two drag forces are equal at a critical velocity vc; this defines a characteristic distance R = vcτ details are discussed for spheres and for cylinders moving along their axis. For v0/vc Gt 1 the role of quadratic drag is largely to reduce the velocity to vc, below which linear drag dominates. The penetration length is given by LN = Rln(1 + v0/vc). As noted by Gamow, LN is relevant to the range of non-self-propelled projectiles, such as artillery shells, bullets, ground penetration bombs and spears shot from spearguns; it is also relevant to windmills and fans.

  12. "Let's Move" campaign: applying the extended parallel process model.

    Science.gov (United States)

    Batchelder, Alicia; Matusitz, Jonathan

    2014-01-01

    This article examines Michelle Obama's health campaign, "Let's Move," through the lens of the extended parallel process model (EPPM). "Let's Move" aims to reduce the childhood obesity epidemic in the United States. Developed by Kim Witte, EPPM rests on the premise that people's attitudes can be changed when fear is exploited as a factor of persuasion. Fear appeals work best (a) when a person feels a concern about the issue or situation, and (b) when he or she believes to have the capability of dealing with that issue or situation. Overall, the analysis found that "Let's Move" is based on past health campaigns that have been successful. An important element of the campaign is the use of fear appeals (as it is postulated by EPPM). For example, part of the campaign's strategies is to explain the severity of the diseases associated with obesity. By looking at the steps of EPPM, readers can also understand the strengths and weaknesses of "Let's Move."

  13. TCM: A Vision-based Algorithm for Distinguishing Between Stationary and Moving Objects Irrespective of Depth Contrast from a UAS

    Directory of Open Access Journals (Sweden)

    Reuben Strydom

    2016-05-01

    Full Text Available This paper describes an airborne vision system that is capable of determining whether an object is moving or stationary in an outdoor environment. The proposed method, coined the Triangle Closure Method (TCM, achieves this goal by computing the aircraft’s egomotion and combining it with information about the directions connecting the object and the UAS, and the expansion of the object in the image. TCM discriminates between stationary and moving objects with an accuracy rate of up to 96%. The performance of the method is validated in outdoor field tests by implementation in real-time on a quadrotor UAS. We demonstrate that the performance of TCM is better than that of a traditional background subtraction technique, as well as a method that employs the Epipolar Constraint Method. Unlike background subtraction, TCM does not generate false alarms due to parallax when a stationary object is at a distance other than that of the background. It also prevents false negatives when the object is moving along an epipolar constraint. TCM is a reliable and computationally efficient scheme for detecting moving objects, which provides an additional safety layer for autonomous navigation.

  14. Image-based modeling of objects and human faces

    Science.gov (United States)

    Zhang, Zhengyou

    2000-12-01

    In this paper, provided is an overview of our project on 3D object and face modeling from images taken by a free-moving camera. We strive to advance the state of the art in 3D computer vision, and develop flexible and robust techniques for ordinary users to gain 3D experience from a ste of casually collected 2D images. Applications include product advertisement on the Web, virtual conference, and interactive games. We briefly cover the following topics: camera calibration, stereo rectification, image matching, 3D photo editing, object modeling, and face modeling. Demos on the last three topics will be shown during the conference.

  15. Modeling of Lossy Inductance in Moving-Coil Loudspeakers

    DEFF Research Database (Denmark)

    Kong, Xiao-Peng; Agerkvist, Finn T.; Zeng, Xin-Wu

    2015-01-01

    The electrical impedance of moving-coil loudspeakers is dominated by the lossy inductance in high frequency range. Using the equivalent electrical circuit method, a new model for the lossy inductance based on separate functions for the magnitude and phase of the impedance is presented. The electr......The electrical impedance of moving-coil loudspeakers is dominated by the lossy inductance in high frequency range. Using the equivalent electrical circuit method, a new model for the lossy inductance based on separate functions for the magnitude and phase of the impedance is presented...

  16. THE METHOD of computation images matching with the standard AS A METHOD FOR IDENTIFICATION OF MOVING Ground OBJECTS

    Directory of Open Access Journals (Sweden)

    B. V. Kazbekov

    2014-01-01

    Full Text Available The article focuses on the identification of moving ground targets on board unmanned aerial vehicle. The possibility of realization of algorithm for identification of objects in real-time by comparing the image of the object under consideration and a set of reference images of the objects of the classes are considered. The merit of the developed modification and the results of the experiments are given.

  17. Realtime Avoidance of Fast Moving Objects: A Dynamical System-based Approach

    OpenAIRE

    Khansari-Zadeh, S. M.; Billard, Aude

    2012-01-01

    In this paper, we provide an extension to our previous approach (Khansari & Billard (2012), Autonomous Robots) to perform obstacle avoidance in the presence of multiple fast moving and rotating obstacles. Our approach leverage on the notion of DS to generate robot motions that are inherently robust to perturbations and can instantly adapt to changes in the target and obstacles' positions in a dynamically moving environments. We validate our method in the challenging experiment of dodging a fa...

  18. SQL3 Object Model and Its Extension

    Institute of Scientific and Technical Information of China (English)

    ZHUANG Ji-feng; PENG Zhi-yong

    2004-01-01

    As the latest version of relational database standard, SQL3 not only has been extended with many new relational features but also added with the object-oriented technologies.This paper introduces the object-oriented features of SQL3 and then extends it with object deputy model to support object view mechanisms.

  19. Modeling of Location Estimation for Object Tracking in WSN

    Directory of Open Access Journals (Sweden)

    Hung-Chi Chu

    2013-01-01

    Full Text Available Location estimation for object tracking is one of the important topics in the research of wireless sensor networks (WSNs. Recently, many location estimation or position schemes in WSN have been proposed. In this paper, we will propose the procedure and modeling of location estimation for object tracking in WSN. The designed modeling is a simple scheme without complex processing. We will use Matlab to conduct the simulation and numerical analyses to find the optimal modeling variables. The analyses with different variables will include object moving model, sensing radius, model weighting value α, and power-level increasing ratio k of neighboring sensor nodes. For practical consideration, we will also carry out the shadowing model for analysis.

  20. Observational evidence for various models of Moving Magnetic Features

    Science.gov (United States)

    Lee, Jeongwoo W.

    1992-01-01

    New measurements of Moving Magnetic Features (MMFs) based on the observations of the active region NOAA 5612 made at Big Bear Solar Observatory (BBSO) on August 2, 1989 are presented. The existing theoretical models are checked against the new observations, and the origin of MMFs conjectured from the deduced observational constraints is discussed.

  1. Computer modeling of road bridge for simulation moving load

    Directory of Open Access Journals (Sweden)

    Miličić Ilija M.

    2016-01-01

    Full Text Available In this paper is shown computational modelling one span road structures truss bridge with the roadway on the upper belt of. Calculation models were treated as planar and spatial girders made up of 1D finite elements with applications for CAA: Tower and Bridge Designer 2016 (2nd Edition. The conducted computer simulations results are obtained for each comparison of the impact of moving load according to the recommendations of the two standards SRPS and AASHATO. Therefore, it is a variant of the bridge structure modeling application that provides Bridge Designer 2016 (2nd Edition identical modeled in an environment of Tower. As important information for the selection of a computer applications point out that the application Bridge Designer 2016 (2nd Edition we arent unable to treat the impacts moving load model under national standard - V600. .

  2. Computer Aided Design Modeling for Heterogeneous Objects

    CERN Document Server

    Gupta, Vikas; Tandon, Puneet

    2010-01-01

    Heterogeneous object design is an active research area in recent years. The conventional CAD modeling approaches only provide geometry and topology of the object, but do not contain any information with regard to the materials of the object and so can not be used for the fabrication of heterogeneous objects (HO) through rapid prototyping. Current research focuses on computer-aided design issues in heterogeneous object design. A new CAD modeling approach is proposed to integrate the material information into geometric regions thus model the material distributions in the heterogeneous object. The gradient references are used to represent the complex geometry heterogeneous objects which have simultaneous geometry intricacies and accurate material distributions. The gradient references helps in flexible manipulability and control to heterogeneous objects, which guarantees the local control over gradient regions of developed heterogeneous objects. A systematic approach on data flow, processing, computer visualizat...

  3. Object Oriented Modeling Of Social Networks

    NARCIS (Netherlands)

    Zeggelink, Evelien P.H.; Oosten, Reinier van; Stokman, Frans N.

    1996-01-01

    The aim of this paper is to explain principles of object oriented modeling in the scope of modeling dynamic social networks. As such, the approach of object oriented modeling is advocated within the field of organizational research that focuses on networks. We provide a brief introduction into the f

  4. A dual-frequency online PMP method with phase-shifting parallel to moving direction of measured object

    Science.gov (United States)

    Peng, Kuang; Cao, Yiping; Wu, Yingchun; Chen, Cheng; Wan, Yingying

    2017-01-01

    A dual-frequency online phase measurement profilometry (PMP) method with phase-shifting parallel to moving direction of measured object is proposed in this paper. The high-frequency fringe is used for the better modulation patterns in pixel matching and it is not modified by the measured object's surface. Based on the relative positive between the moving measured object and digital light processing (DLP), the high-frequency fringe in each dual-frequency deformed pattern after pixel matching is the same. As a result, the phase can be calculated directly by the improved Stoilov algorithm without filtering out the low-frequency component containing the measured object's height information. As there is no filtering process in phase calculation, the valid information loss can be avoided so that the accuracy of the proposed method can be guaranteed. Simulations and experiments prove the method's feasibility and precision.

  5. Mathematical Model of Moving Heat-Transfer Agents

    Directory of Open Access Journals (Sweden)

    R. I. Yesman

    2010-01-01

    Full Text Available A mathematical model of moving heat-transfer agents which is applied in power systems and plants has been developed in the paper. A paper presents the mathematical model as a closed system of differential convective heat-transfer equations that includes a continuity equation, a motion equation, an energy equation.Various variants of boundary conditions on the surfaces of calculation flow and heat exchange zone are considered in the paper.

  6. The origin of the X-ray-emitting object moving away from PSR B1259-63

    CERN Document Server

    Barkov, Maxim V

    2015-01-01

    A mysterious X-ray-emitting object has been detected moving away from the high-mass gamma-ray binary PSR B1259-63, which contains a non-accreting pulsar and a Be star whose winds collide forming a complex interaction structure. Given the strong eccentricity of this binary, the interaction structure should be strongly anisotropic, which together with the complex evolution of the shocked winds, could explain the origin of the observed moving X-ray feature. We propose here that a fast outflow made of a pulsar-stellar wind mixture is always present moving away from the binary in the apastron direction, with the injection of stellar wind occurring at orbital phases close to periastron passage. This outflow periodically loaded with stellar wind would move with a high speed, and likely host non-thermal activity due to shocks, on scales similar to those of the observed moving X-ray object. Such an outflow is thus a very good candidate to explain this X-ray feature. This, if confirmed, would imply pulsar-to-stellar wi...

  7. Waste tyre pyrolysis: modelling of a moving bed reactor.

    Science.gov (United States)

    Aylón, E; Fernández-Colino, A; Murillo, R; Grasa, G; Navarro, M V; García, T; Mastral, A M

    2010-12-01

    This paper describes the development of a new model for waste tyre pyrolysis in a moving bed reactor. This model comprises three different sub-models: a kinetic sub-model that predicts solid conversion in terms of reaction time and temperature, a heat transfer sub-model that calculates the temperature profile inside the particle and the energy flux from the surroundings to the tyre particles and, finally, a hydrodynamic model that predicts the solid flow pattern inside the reactor. These three sub-models have been integrated in order to develop a comprehensive reactor model. Experimental results were obtained in a continuous moving bed reactor and used to validate model predictions, with good approximation achieved between the experimental and simulated results. In addition, a parametric study of the model was carried out, which showed that tyre particle heating is clearly faster than average particle residence time inside the reactor. Therefore, this fast particle heating together with fast reaction kinetics enables total solid conversion to be achieved in this system in accordance with the predictive model.

  8. MAXIMUM LIKELIHOOD ESTIMATION FOR PERIODIC AUTOREGRESSIVE MOVING AVERAGE MODELS.

    Science.gov (United States)

    Vecchia, A.V.

    1985-01-01

    A useful class of models for seasonal time series that cannot be filtered or standardized to achieve second-order stationarity is that of periodic autoregressive moving average (PARMA) models, which are extensions of ARMA models that allow periodic (seasonal) parameters. An approximation to the exact likelihood for Gaussian PARMA processes is developed, and a straightforward algorithm for its maximization is presented. The algorithm is tested on several periodic ARMA(1, 1) models through simulation studies and is compared to moment estimation via the seasonal Yule-Walker equations. Applicability of the technique is demonstrated through an analysis of a seasonal stream-flow series from the Rio Caroni River in Venezuela.

  9. The Composite OLAP-Object Data Model

    Energy Technology Data Exchange (ETDEWEB)

    Pourabbas, Elaheh; Shoshani, Arie

    2005-12-07

    In this paper, we define an OLAP-Object model that combines the main characteristics of OLAP and Object data models in order to achieve their functionalities in a common framework. We classify three different object classes: primitive, regular and composite. Then, we define a query language which uses the path concept in order to facilitate data navigation and data manipulation. The main feature of the proposed language is an anchor. It allows us to fix dynamically an object class (primitive, regular or composite) along the paths over the OLAP-Object data model for expressing queries. The queries can be formulated on objects, composite objects and combination of both. The power of the proposed query language is investigated through multiple query examples. The semantic of different clauses and syntax of the proposed language are investigated.

  10. Multi-objective optimization for the economic production of d-psicose using simulated moving bed chromatography.

    Science.gov (United States)

    Wagner, N; Håkansson, E; Wahler, S; Panke, S; Bechtold, M

    2015-06-12

    The biocatalytic production of rare carbohydrates from available sugar sources rapidly gains interest as a route to acquire industrial amounts of rare sugars for food and fine chemical applications. Here we present a multi-objective optimization procedure for a simulated moving bed (SMB) process for the production of the rare sugar d-psicose from enzymatically produced mixtures with its epimer d-fructose. First, model parameters were determined using the inverse method and experimentally validated on a 2-2-2-2 lab-scale SMB plant. The obtained experimental purities (PUs) were in excellent agreement with the simulated data derived from a transport-dispersive true-moving bed model demonstrating the feasibility of the proposed design. In the second part the performance of the separation was investigated in a multi-objective optimization study addressing the cost-contributing performance parameters productivity (PR) and desorbent requirement (DR) as a function of temperature. While rare sugar SMB operation under conditions of low desorbent consumption was found to be widely unaffected by temperature, SMB operation focusing on increased PR significantly benefited from high temperatures, with possible productivities increasing from 3.4kg(Lday)(-1) at 20°C to 5kg(Lday)(-1) at 70°C, indicating that decreased selectivity at higher temperatures could be fully compensated for by the higher mass transfer rates, as they translate into reduced switch times and hence higher PR. A DR/PR Pareto optimization suggested a similar but even more pronounced trend also under relaxed PU requirements, with the PR increasing from 4.3kg(Lday)(-1) to a maximum of 7.8kg(Lday)(-1) for SMB operation at 50°C when the PU of the non-product stream was reduced from 99.5% to 90%. Based on the in silico optimization results experimental SMB runs were performed yielding considerable PRs of 1.9 (30°C), 2.4 (50°C) and 2.6kg(Lday)(-1) (70°C) with rather low DR (27L per kg of rare sugar produced) on a

  11. Learning models of activities involving interacting objects

    DEFF Research Database (Denmark)

    Manfredotti, Cristina; Pedersen, Kim Steenstrup; Hamilton, Howard J.;

    2013-01-01

    We propose the LEMAIO multi-layer framework, which makes use of hierarchical abstraction to learn models for activities involving multiple interacting objects from time sequences of data concerning the individual objects. Experiments in the sea navigation domain yielded learned models that were...

  12. Learning models of activities involving interacting objects

    DEFF Research Database (Denmark)

    Manfredotti, Cristina; Pedersen, Kim Steenstrup; Hamilton, Howard J.

    2013-01-01

    We propose the LEMAIO multi-layer framework, which makes use of hierarchical abstraction to learn models for activities involving multiple interacting objects from time sequences of data concerning the individual objects. Experiments in the sea navigation domain yielded learned models that were t...

  13. Modeling Autoregressive Processes with Moving-Quantiles-Implied Nonlinearity

    Directory of Open Access Journals (Sweden)

    Isao Ishida

    2015-01-01

    Full Text Available We introduce and investigate some properties of a class of nonlinear time series models based on the moving sample quantiles in the autoregressive data generating process. We derive a test fit to detect this type of nonlinearity. Using the daily realized volatility data of Standard & Poor’s 500 (S&P 500 and several other indices, we obtained good performance using these models in an out-of-sample forecasting exercise compared with the forecasts obtained based on the usual linear heterogeneous autoregressive and other models of realized volatility.

  14. Moving a hand-held object: Reconstruction of referent coordinate and apparent stiffness trajectories.

    Science.gov (United States)

    Ambike, S; Zhou, T; Zatsiorsky, V M; Latash, M L

    2015-07-01

    This study used the framework of the referent configuration hypothesis and slow changes in the external conditions during vertical oscillation of a hand-held object to infer the characteristics of hypothetical control variables. The study had two main objectives: (1) to show that hypothetical control variables, namely, referent coordinates and apparent stiffness of vertical hand position and grip force can be measured in an experiment; and (2) to establish relation(s) between these control variables that yield the classic grip-force-load-force coupling. Healthy subjects gripped a handle and performed vertical oscillations between visual targets at one of five metronome-prescribed frequencies. A HapticMaster robot was used to induce slow changes in the vertical force applied to the handle, while the size of the handle was changed slowly leading to changes in the grip aperture. The subjects were instructed not to react to possible changes in the external forces. A linear, second-order model was used to reconstruct the referent coordinate and apparent stiffness values for each phase of the vertical oscillation cycle using across-cycle regressions. The reconstructed time profiles of the referent coordinates and apparent stiffness showed consistent trends across subjects and movement frequencies. To validate the method, these values were used to predict the vertical force and the grip force applied to the handle for movement cycles that were not utilized in the reconstruction process. Analysis of the coupling between the four variables, two referent coordinates and two apparent stiffness values, revealed a single strong constraint reflecting the coupling between the grip force and vertical force. We view these data as providing experimental support for the idea of controlling natural, multi-muscle actions with shifts in a low-dimensional set of referent coordinates.

  15. Learning models of activities involving interacting objects

    DEFF Research Database (Denmark)

    Manfredotti, Cristina; Pedersen, Kim Steenstrup; Hamilton, Howard J.;

    2013-01-01

    We propose the LEMAIO multi-layer framework, which makes use of hierarchical abstraction to learn models for activities involving multiple interacting objects from time sequences of data concerning the individual objects. Experiments in the sea navigation domain yielded learned models that were...... then successfully applied to activity recognition, activity simulation and multi-target tracking. Our method compares favourably with respect to previously reported results using Hidden Markov Models and Relational Particle Filtering....

  16. Probabilistic object and viewpoint models for active object recognition

    CSIR Research Space (South Africa)

    Govender, N

    2013-09-01

    Full Text Available For mobile robots to perform certain tasks in human environments, fast and accurate object verification and recognition is essential. Bayesian approaches to active object recognition have proved effective in a number of cases, allowing information...

  17. A moving approach for the Vector Hysteron Model

    Energy Technology Data Exchange (ETDEWEB)

    Cardelli, E. [Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia (Italy); Faba, A., E-mail: antonio.faba@unipg.it [Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia (Italy); Laudani, A. [Department of Engineering, Roma Tre University, Via V. Volterra 62, 00146 Rome (Italy); Quondam Antonio, S. [Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia (Italy); Riganti Fulginei, F.; Salvini, A. [Department of Engineering, Roma Tre University, Via V. Volterra 62, 00146 Rome (Italy)

    2016-04-01

    A moving approach for the VHM (Vector Hysteron Model) is here described, to reconstruct both scalar and rotational magnetization of electrical steels with weak anisotropy, such as the non oriented grain Silicon steel. The hysterons distribution is postulated to be function of the magnetization state of the material, in order to overcome the practical limitation of the congruency property of the standard VHM approach. By using this formulation and a suitable accommodation procedure, the results obtained indicate that the model is accurate, in particular in reproducing the experimental behavior approaching to the saturation region, allowing a real improvement respect to the previous approach.

  18. Extending Model Checking to Object Process Validation

    NARCIS (Netherlands)

    Rein, van H.

    2002-01-01

    Object-oriented techniques allow the gathering and modelling of system requirements in terms of an application area. The expression of data and process models at that level is a great asset in communication with non-technical people in that area, but it does not necessarily lead to consistent models

  19. Spiders appear to move faster than non-threatening objects regardless of one's ability to block them.

    Science.gov (United States)

    Witt, Jessica K; Sugovic, Mila

    2013-07-01

    We examined whether perception of a threatening object - a spider - was more accurate than of a non-threatening object. An accurate perception could promote better survival than a biased perception. However, if biases encourage faster responses and more appropriate behaviors, then under the right circumstances, perceptual biases could promote better survival. We found that spiders appeared to be moving faster than balls and ladybugs. Furthermore, the perceiver's ability to act on the object also influenced perceived speed: the object looked faster when it was more difficult to block. Both effects--the threat of the object and the perceiver's blocking abilities--acted independently from each other. The results suggest effects of multiple types of affordances on perception of speed.

  20. Indexing the Past, Present and Anticipated Future Positions of Moving Objects

    DEFF Research Database (Denmark)

    Pelanis, M.; Saltenis, Simonas; Jensen, Christian Søndergaard

    2006-01-01

    capture the position of an object up until the time of the most recent position sample, while other techniques represent an object's position as a constant or linear function of time and capture the position from the current time and into the (near) future. This paper offers an indexing technique capable...

  1. A method for segmentation and motion estimation of multiple independently moving objects

    NARCIS (Netherlands)

    Willemink, G.H.; Heijden, van der F.

    2006-01-01

    The aim of this work is to design a robust method for online estimation of object motion and structure in a dynamic scene. A method for segmentation and estimation of object motion and structure from 3-d points in a dynamic scene, observed by a sequence of stereo images, is proposed. The proposed me

  2. Modeling and simulation of dust behaviors behind a moving vehicle

    Science.gov (United States)

    Wang, Jingfang

    Simulation of physically realistic complex dust behaviors is a difficult and attractive problem in computer graphics. A fast, interactive and visually convincing model of dust behaviors behind moving vehicles is very useful in computer simulation, training, education, art, advertising, and entertainment. In my dissertation, an experimental interactive system has been implemented for the simulation of dust behaviors behind moving vehicles. The system includes physically-based models, particle systems, rendering engines and graphical user interface (GUI). I have employed several vehicle models including tanks, cars, and jeeps to test and simulate in different scenarios and conditions. Calm weather, winding condition, vehicle turning left or right, and vehicle simulation controlled by users from the GUI are all included. I have also tested the factors which play against the physical behaviors and graphics appearances of the dust particles through GUI or off-line scripts. The simulations are done on a Silicon Graphics Octane station. The animation of dust behaviors is achieved by physically-based modeling and simulation. The flow around a moving vehicle is modeled using computational fluid dynamics (CFD) techniques. I implement a primitive variable and pressure-correction approach to solve the three dimensional incompressible Navier Stokes equations in a volume covering the moving vehicle. An alternating- direction implicit (ADI) method is used for the solution of the momentum equations, with a successive-over- relaxation (SOR) method for the solution of the Poisson pressure equation. Boundary conditions are defined and simplified according to their dynamic properties. The dust particle dynamics is modeled using particle systems, statistics, and procedure modeling techniques. Graphics and real-time simulation techniques, such as dynamics synchronization, motion blur, blending, and clipping have been employed in the rendering to achieve realistic appearing dust

  3. Model Order Reduction for Fluid Dynamics with Moving Solid Boundary

    Science.gov (United States)

    Gao, Haotian; Wei, Mingjun

    2016-11-01

    We extended the application of POD-Galerkin projection for model order reduction from usual fixed-domain problems to more general fluid-solid systems when moving boundary/interface is involved. The idea is similar to numerical simulation approaches using embedded forcing terms to represent boundary motion and domain change. However, such a modified approach will not get away with the unsteadiness of boundary terms which appear as time-dependent coefficients in the new Galerkin model. These coefficients need to be pre-computed for prescribed motion, or worse, to be computed at each time step for non-prescribed motion. The extra computational cost gets expensive in some cases and eventually undermines the value of using reduced-order models. One solution is to decompose the moving boundary/domain to orthogonal modes and derive another low-order model with fixed coefficients for boundary motion. Further study shows that the most expensive integrations resulted from the unsteady motion (in both original and domain-decomposition approaches) have almost negligible impact on the overall dynamics. Dropping these expensive terms reduces the computation cost by at least one order while no obvious effect on model accuracy is noticed. Supported by ARL.

  4. Electric discharges produced by clouds of charged water droplets in the presence of moving conducting object

    Science.gov (United States)

    Kostinskiy, Alexander Y.; Syssoev, Vladimir S.; Mareev, Eugene A.; Rakov, Vladimir A.; Andreev, Mikhail G.; Bogatov, Nikolai A.; Makal'sky, Leonid M.; Sukharevsky, Dmitry I.; Aleshchenko, Alexander S.; Kuznetsov, Vladimir E.; Shatalina, Maria V.

    2015-12-01

    The possibility of initiation of electric discharges by a crossbow bolt (projectile) moving in the electric field of a cloud of negatively charged water droplets has been demonstrated for the first time. Over one hundred of discharges have been produced. For each event, a high-speed video camera recorded the images of upward positive leaders developing from both the nearby grounded sphere and the projectile, followed by the return-stroke-like process. Corresponding currents were measured and integrated photos of the events were obtained. The results can help to improve our understanding of lightning initiation by airborne vehicles and by a vertical conductor rapidly extended below the thundercloud in order to trigger lightning with the rocket-and-wire technique.

  5. MODELING FUZZY GEOGRAPHIC OBJECTS WITHIN FUZZY FIELDS

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    To improve the current GIS functions in describing geographic objects w ith fuzziness,this paper begins with a discussion on the distance measure of sp atial objects based on the theory of sets and an introduction of dilation and er osion operators.Under the assumption that changes of attributes in a geographic region are gradual,the analytic expressions for the fuzzy objects of points,l ines and areas,and the description of their formal structures are presented.Th e analytic model of geographic objects by means of fuzzy fields is developed.We have shown that the 9-intersection model proposed by Egenhofer and Franzosa (19 91) is a special case of the model presented in the paper.

  6. Building Mathematical Models Of Solid Objects

    Science.gov (United States)

    Randall, Donald P.; Jones, Kennie H.; Von Ofenheim, William H.; Gates, Raymond L.; Matthews, Christine G.

    1989-01-01

    Solid Modeling Program (SMP) version 2.0 provides capability to model complex solid objects mathematically through aggregation of geometric primitives (parts). System provides designer with basic set of primitive parts and capability to define new primitives. Six primitives included in present version: boxes, cones, spheres, paraboloids, tori, and trusses. Written in VAX/VMS FORTRAN 77.

  7. What are you or who are you? The emergence of social interaction between dog and an unidentified moving object (UMO.

    Directory of Open Access Journals (Sweden)

    Anna Gergely

    Full Text Available Robots offer new possibilities for investigating animal social behaviour. This method enhances controllability and reproducibility of experimental techniques, and it allows also the experimental separation of the effects of bodily appearance (embodiment and behaviour. In the present study we examined dogs' interactive behaviour in a problem solving task (in which the dog has no access to the food with three different social partners, two of which were robots and the third a human behaving in a robot-like manner. The Mechanical UMO (Unidentified Moving Object and the Mechanical Human differed only in their embodiment, but showed similar behaviour toward the dog. In contrast, the Social UMO was interactive, showed contingent responsiveness and goal-directed behaviour and moved along varied routes. The dogs showed shorter looking and touching duration, but increased gaze alternation toward the Mechanical Human than to the Mechanical UMO. This suggests that dogs' interactive behaviour may have been affected by previous experience with typical humans. We found that dogs also looked longer and showed more gaze alternations between the food and the Social UMO compared to the Mechanical UMO. These results suggest that dogs form expectations about an unfamiliar moving object within a short period of time and they recognise some social aspects of UMOs' behaviour. This is the first evidence that interactive behaviour of a robot is important for evoking dogs' social responsiveness.

  8. What are you or who are you? The emergence of social interaction between dog and an unidentified moving object (UMO).

    Science.gov (United States)

    Gergely, Anna; Petró, Eszter; Topál, József; Miklósi, Ádám

    2013-01-01

    Robots offer new possibilities for investigating animal social behaviour. This method enhances controllability and reproducibility of experimental techniques, and it allows also the experimental separation of the effects of bodily appearance (embodiment) and behaviour. In the present study we examined dogs' interactive behaviour in a problem solving task (in which the dog has no access to the food) with three different social partners, two of which were robots and the third a human behaving in a robot-like manner. The Mechanical UMO (Unidentified Moving Object) and the Mechanical Human differed only in their embodiment, but showed similar behaviour toward the dog. In contrast, the Social UMO was interactive, showed contingent responsiveness and goal-directed behaviour and moved along varied routes. The dogs showed shorter looking and touching duration, but increased gaze alternation toward the Mechanical Human than to the Mechanical UMO. This suggests that dogs' interactive behaviour may have been affected by previous experience with typical humans. We found that dogs also looked longer and showed more gaze alternations between the food and the Social UMO compared to the Mechanical UMO. These results suggest that dogs form expectations about an unfamiliar moving object within a short period of time and they recognise some social aspects of UMOs' behaviour. This is the first evidence that interactive behaviour of a robot is important for evoking dogs' social responsiveness.

  9. Apparatus and method for determining movements and velocities of moving objects

    DEFF Research Database (Denmark)

    1998-01-01

    With an apparatus according to the invention it is possible to detect an object's velocity transverse to the direction of propagation of an interacting field. Such transverse movement is detected by applying a field that oscillates spatially in the transverse direction. The method used...... in the apparatus is applicable where wave energy is used to sense or detect an object by its scattering properties when using either sound waves or electro-magnetic waves. The movement can be detected according to the field properties. The field represented by the sampling pulse must feature a spatial oscillation......(M) elements. The transmit beam former and the receive beam former are configured to obtain the spatially oscillating field. The signal received from the interacting objects (4) is processed by the velocity estimator processor (7) for calculation of the velocity vector components by estimating the shift...

  10. Moving Object Tracking and Its Application to an Indoor Dual-Robot Patrol

    Directory of Open Access Journals (Sweden)

    Cheng-Han Shih

    2016-11-01

    Full Text Available This paper presents an application of image tracking using an omnidirectional wheeled mobile robot (WMR. The objective of this study is to integrate image processing of hue, saturation, and lightness (HSL for fuzzy color space, and use mean shift tracking for object detection and a Radio Frequency Identification (RFID reader for confirming destination. Fuzzy control is applied to omnidirectional WMR for indoor patrol and intruder detection. Experimental results show that the proposed control scheme can make the WMRs perform indoor security service.

  11. Micro-Doppler Estimation and Analysis of Slow Moving Objects in Forward Scattering Radar System

    Directory of Open Access Journals (Sweden)

    Raja Syamsul Azmir Raja Abdullah

    2017-07-01

    Full Text Available Micro-Doppler signature can convey information of detected targets and has been used for target recognition in many Radar systems. Nevertheless, micro-Doppler for the specific Forward Scattering Radar (FSR system has yet to be analyzed and investigated in detail; consequently, information carried by the micro-Doppler in FSR is not fully understood. This paper demonstrates the feasibility and effectiveness of FSR in detecting and extracting micro-Doppler signature generated from a target’s micro-motions. Comprehensive theoretical analyses and simulation results followed by experimental investigations into the feasibility of using the FSR for detecting micro-Doppler signatures are presented in this paper. The obtained results verified that the FSR system is capable of detecting micro-Doppler signature of a swinging pendulum placed on a moving trolley and discriminating different swinging speeds. Furthermore, human movement and micro-Doppler from hand motions can be detected and monitored by using the FSR system which resembles a potential application for human gait monitoring and classification.

  12. Moving beyond the MSY concept to reflect multidimensional fisheries management objectives

    DEFF Research Database (Denmark)

    Rindorf, Anna; Mumford, John; Baranowski, Paul

    2017-01-01

    Maximising the long term average catch of single stock fisheries as prescribed by the globally-legislated MSY objective is unlikely to ensure ecosystem, economic, social and governance sustainability unless an effort is made to explicitly include these considerations. We investigated how objectiv...

  13. Apparatus and method for determining movements and velocities of moving objects

    DEFF Research Database (Denmark)

    1998-01-01

    (M) elements. The transmit beam former and the receive beam former are configured to obtain the spatially oscillating field. The signal received from the interacting objects (4) is processed by the velocity estimator processor (7) for calculation of the velocity vector components by estimating the shift...

  14. Scalable Continuous Range Monitoring of Moving Objects in Symbolic Indoor Space

    DEFF Research Database (Denmark)

    Yang, Bin; Lu, Hua; Jensen, Christian Søndergaard

    2009-01-01

    Indoor spaces accommodate large populations of individuals. The continuous range monitoring of such objects can be used as a foundation for a wide variety of applications, e.g., space planning, way finding, and security. Indoor space differs from outdoor space in that symbolic locations, e.g., ro...

  15. Mobile Brain/Body Imaging (MoBI) of Physical Interaction with Dynamically Moving Objects

    Science.gov (United States)

    Jungnickel, Evelyn; Gramann, Klaus

    2016-01-01

    The non-invasive recording and analysis of human brain activity during active movements in natural working conditions is a central challenge in Neuroergonomics research. Existing brain imaging approaches do not allow for an investigation of brain dynamics during active behavior because their sensors cannot follow the movement of the signal source. However, movements that require the operator to react fast and to adapt to a dynamically changing environment occur frequently in working environments like assembly-line work, construction trade, health care, but also outside the working environment like in team sports. Overcoming the restrictions of existing imaging methods would allow for deeper insights into neurocognitive processes at workplaces that require physical interactions and thus could help to adapt work settings to the user. To investigate the brain dynamics accompanying rapid volatile movements we used a visual oddball paradigm where participants had to react to color changes either with a simple button press or by physically pointing towards a moving target. Using a mobile brain/body imaging approach (MoBI) including independent component analysis (ICA) with subsequent backprojection of cluster activity allowed for systematically describing the contribution of brain and non-brain sources to the sensor signal. The results demonstrate that visual event-related potentials (ERPs) can be analyzed for simple button presses and physical pointing responses and that it is possible to quantify the contribution of brain processes, muscle activity and eye movements to the signal recorded at the sensor level even for fast volatile arm movements with strong jerks. Using MoBI in naturalistic working environments can thus help to analyze brain dynamics in natural working conditions and help improving unhealthy or inefficient work settings. PMID:27445747

  16. Equations of the Problem of Determining the Location of a Moving Object by Gyroscopes and Accelerometers,

    Science.gov (United States)

    1980-06-13

    tue outer ring of Cardan joints for the suspension of this gyroscope can be attached to a stabilizing platform. Let the intrinsic Kinetic momant of...type of stabilization. The plane of the platform P, which is connected with the object by a three-dimensional cardan suspension (not shown in the figure...of the outer ring of this DOC = 0925 PAGE 15 gyroscope’s cardan suspension are arranged on the stabilized platform so that the axis itself lies in tn

  17. Polarization-Modulation Method of Measuring the Bearing of a Moving Object From Orthogonal Elliptically Polarized Signals of a Radio Beacon

    Science.gov (United States)

    Gulko, V. L.; Mescheryakov, A. A.

    2017-05-01

    A polarization-modulation method of estimating the bearing of a moving object using a radio beacon transmitting two mutually orthogonal elliptically polarized radio signals is considered. The signals received onboard the moving object are subject to polarization modulation. The bearing is estimated at the output from a single-channel receiver at the frequency multiple to the polarization modulation frequency.

  18. Object tracking using active appearance models

    DEFF Research Database (Denmark)

    Stegmann, Mikkel Bille

    2001-01-01

    This paper demonstrates that (near) real-time object tracking can be accomplished by the deformable template model; the Active Appearance Model (AAM) using only low-cost consumer electronics such as a PC and a web-camera. Successful object tracking of perspective, rotational and translational...... transformations was carried out using a training set of five images. The tracker was automatically initialised by a described multi-scale initialisation method and achieved a performance in the range of 7-10 frames per second....

  19. Detection of moving objects: The first stage of an autonomous surveillance system

    CSIR Research Space (South Africa)

    Keaikitse, M

    2012-10-01

    Full Text Available using video footage of the real world. The Receiver Operating Characteristic (ROC) curves are used to quantify the performance of the algorithms. In our experiments, the adaptive Gaussian mixture model outperforms the Wallflower method....

  20. Track-Before-Detect Algorithm for Faint Moving Objects based on Random Sampling and Consensus

    Science.gov (United States)

    2014-09-01

    equatorially mounted on a Mathis Instruments MI-500 with MI-750 fork arms. That system is used with a SBIG 8300M monochrome camera with 8.3 megapixels (3326...applied to the data, each frame is processed to enhance object signature while suppressing background noise. A median subtraction filter is used in the pre...the streak in 3-D, where the blob density is very low, we will proceed to show the statistical significance of finding as little as 20 blobs lined up

  1. MPEG-4 Authoring Tool Using Moving Object Segmentation and Tracking in Video Shots

    Directory of Open Access Journals (Sweden)

    Strintzis Michael G

    2003-01-01

    Full Text Available An Authoring tool for the MPEG-4 multimedia standard integrated with image sequence analysis algorithms is described. MPEG-4 offers numerous capabilities and is expected to be the future standard for multimedia applications. However, the implementation of these capabilities requires a complex authoring process, employing many different competencies from image sequence analysis and encoding of audio/visual/BIFS to the implementation of different delivery scenarios: local access on CD/DVD-ROM, Internet, or broadcast. However powerful the technologies underlying multimedia computing are, the success of these systems depends on their ease of authoring. In this paper, a novel Authoring tool fully exploiting the object-based coding and 3D synthetic functionalities of the MPEG-4 standard is described. It is based upon an open and modular architecture able to progress with MPEG-4 versions and it is easily adaptable to newly emerging better and higher-level authoring and image sequence analysis features.

  2. The myth of objectivity: is medicine moving towards a social constructivist medical paradigm?

    Science.gov (United States)

    Wilson, H J

    2000-04-01

    Biomedicine is improperly imbued with a nomothetic methodology, which views 'disease' in a similar way to other 'natural' phenomena. This arises from a 300-year history of a positivist domination of science, meaning that objectivist research (e.g. randomized controlled trials or biochemical research) attracts more funding and is more readily published than 'softer' qualitative research. A brief review of objectivism and subjectivism is followed by a definition of an emerging medical paradigm. Current 'inappropriate' medical practices become understandable in this broader context, and examples are given. A constructivist paradigm can continue to incorporate 'objective' clinical findings and interventions, as well as the recent evidence for the doctor-patient relationship as a major contributor to patient outcomes.

  3. Object Oriented Modelling and Dynamical Simulation

    DEFF Research Database (Denmark)

    Wagner, Falko Jens; Poulsen, Mikael Zebbelin

    1998-01-01

    This report with appendix describes the work done in master project at DTU.The goal of the project was to develop a concept for simulation of dynamical systems based on object oriented methods.The result was a library of C++-classes, for use when both building componentbased models and when...

  4. Object Oriented Modelling and Dynamical Simulation

    DEFF Research Database (Denmark)

    Wagner, Falko Jens; Poulsen, Mikael Zebbelin

    1998-01-01

    This report with appendix describes the work done in master project at DTU.The goal of the project was to develop a concept for simulation of dynamical systems based on object oriented methods.The result was a library of C++-classes, for use when both building componentbased models and when...... onduction simulation experiments....

  5. When moving faces activate the house area: an fMRI study of object-file retrieval

    Directory of Open Access Journals (Sweden)

    Colzato Lorenza S

    2008-10-01

    Full Text Available Abstract Background The visual cortex of the human brain contains specialized modules for processing different visual features of an object. Confronted with multiple objects, the system needs to attribute the correct features to each object (often referred to as 'the binding problem'. The brain is assumed to integrate the features of perceived objects into object files – pointers to the neural representations of these features, which outlive the event they represent in order to maintain stable percepts of objects over time. It has been hypothesized that a new encounter with one of the previously bound features will reactivate the other features in the associated object file according to a kind of pattern-completion process. Methods Fourteen healthy volunteers participated in an fMRI experiment and performed a task designed to measure the aftereffects of binding visual features (houses, faces, motion direction. On each trial, participants viewed a particular combination of features (S1 before carrying out a speeded choice response to a second combination of features (S2. Repetition and alternation of all three features was varied orthogonally. Results The behavioral results showed the standard partial repetition costs: a reaction time increase when one feature was repeated and the other feature alternated between S1 and S2, as compared to complete repetitions or alternations of these features. Importantly, the fMRI results provided evidence that repeating motion direction reactivated the object that previously moved in the same direction. More specifically, perceiving a face moving in the same direction as a just-perceived house increased activation in the parahippocampal place area (PPA. A similar reactivation effect was not observed for faces in the fusiform face area (FFA. Individual differences in the size of the reactivation effects in the PPA and FFA showed a positive correlation with the corresponding partial repetition costs. Conclusion

  6. Neuronal correlates of multiple top-down signals during covert tracking of moving objects in macaque prefrontal cortex.

    Science.gov (United States)

    Matsushima, Ayano; Tanaka, Masaki

    2012-10-01

    Resistance to distraction is a key component of executive functions and is strongly linked to the prefrontal cortex. Recent evidence suggests that neural mechanisms exist for selective suppression of task-irrelevant information. However, neuronal signals related to selective suppression have not yet been identified, whereas nonselective surround suppression, which results from attentional enhancement for relevant stimuli, has been well documented. This study examined single neuron activities in the lateral PFC when monkeys covertly tracked one of randomly moving objects. Although many neurons responded to the target, we also found a group of neurons that exhibited a selective response to the distractor that was visually identical to the target. Because most neurons were insensitive to an additional distractor that explicitly differed in color from the target, the brain seemed to monitor the distractor only when necessary to maintain internal object segregation. Our results suggest that the lateral PFC might provide at least two top-down signals during covert object tracking: one for enhancement of visual processing for the target and the other for selective suppression of visual processing for the distractor. These signals might work together to discriminate objects, thereby regulating both the sensitivity and specificity of target choice during covert object tracking.

  7. Enhanced Approximated SURF Model For Object Recognition

    Directory of Open Access Journals (Sweden)

    S. Sangeetha

    2014-02-01

    Full Text Available Computer vision applications like camera calibration, 3D reconstruction, and object recognition and image registration are becoming widely popular now a day. In this paper an enhanced model for speeded up robust features (SURF is proposed by which the object recognition process will become three times faster than common SURF model The main idea is to use efficient data structures for both, the detector and the descriptor. The detection of interest regions is considerably speed-up by using an integral image for scale space computation. The descriptor which is based on orientation histograms is accelerated by the use of an integral orientation histogram. We present an analysis of the computational costs comparing both parts of our approach to the conventional method. Extensive experiments show a speed-up by a factor of eight while the matching and repeatability performance is decreased only slightly.

  8. Modeling business objects with XML schema

    CERN Document Server

    Daum, Berthold

    2003-01-01

    XML Schema is the new language standard from the W3C and the new foundation for defining data in Web-based systems. There is a wealth of information available about Schemas but very little understanding of how to use this highly formal specification for creating documents. Grasping the power of Schemas means going back to the basics of documents themselves, and the semantic rules, or grammars, that define them. Written for schema designers, system architects, programmers, and document authors, Modeling Business Objects with XML Schema guides you through understanding Schemas from the basic concepts, type systems, type derivation, inheritance, namespace handling, through advanced concepts in schema design.*Reviews basic XML syntax and the Schema recommendation in detail.*Builds a knowledge base model step by step (about jazz music) that is used throughout the book.*Discusses Schema design in large environments, best practice design patterns, and Schema''s relation to object-oriented concepts.

  9. On two transverse nonlinear models of axially moving beams

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    Nonlinear models of transverse vibration of axially moving beams are computationally investigated. A partial-differential equation is derived from the governing equation of coupled planar motion by omit- ting its longitudinal terms. The model can be reduced to an integro-partial-differential equation by av- eraging the beam disturbed tension. Numerical schemes are respectively presented for the governing equations of coupled planar and the two governing equations of transverse motion via the finite dif- ference method and differential quadrature method under the fixed boundary and the simple support boundary. A steel beam and a copper beam are treated as examples to demonstrate the deviations of the solutions to the two transverse equations from the solution to the coupled equation. The numerical results indicate that the differences increase with the amplitude of vibration and the axial speed. Both models yield almost the same precision results for small amplitude vibration and the inte- gro-partial-differential equation gives better results for large amplitude vibration.

  10. On two transverse nonlinear models of axially moving beams

    Institute of Scientific and Technical Information of China (English)

    DING Hu; CHEN LiQun

    2009-01-01

    Nonlinear models of transverse vibration of axially moving beams are computationally investigated. A partial-differential equation is derived from the governing equation of coupled planar motion by omit-ting its longitudinal terms. The model can be reduced to an integro-partial-differential equation by av-eraging the beam disturbed tension. Numerical schemes are respectively presented for the governing equations of coupled planar and the two governing equations of transverse motion via the finite dif-ference method and differential quadrature method under the fixed boundary and the simple support boundary. A steel beam and a copper beam are treated as examples to demonstrate the deviations of the solutions to the two transverse equations from the solution to the coupled equation. The numerical results indicate that the differences increase with the amplitude of vibration and the axial speed. Both models yield almost the same precision results for small amplitude vibration and the inte-gro-partial-differential equation gives better results for large amplitude vibration.

  11. MOVES - A tool for Modeling and Verification of Embedded Systems

    DEFF Research Database (Denmark)

    Ellebæk, Jens; Knudsen, Kristian S.; Brekling, Aske Wiid;

    2007-01-01

    We demonstrate MOVES, a tool which allows designers of embedded systems to explore possible implementations early in the design process. The demonstration of MOVES will show how designers can explore different designs by changing the mapping of tasks on processing elements, the number and/or speed...... of processing elements, the size of local memories, and the operating systems (scheduling algorithm)....

  12. Objective calibration of numerical weather prediction models

    Science.gov (United States)

    Voudouri, A.; Khain, P.; Carmona, I.; Bellprat, O.; Grazzini, F.; Avgoustoglou, E.; Bettems, J. M.; Kaufmann, P.

    2017-07-01

    Numerical weather prediction (NWP) and climate models use parameterization schemes for physical processes, which often include free or poorly confined parameters. Model developers normally calibrate the values of these parameters subjectively to improve the agreement of forecasts with available observations, a procedure referred as expert tuning. A practicable objective multi-variate calibration method build on a quadratic meta-model (MM), that has been applied for a regional climate model (RCM) has shown to be at least as good as expert tuning. Based on these results, an approach to implement the methodology to an NWP model is presented in this study. Challenges in transferring the methodology from RCM to NWP are not only restricted to the use of higher resolution and different time scales. The sensitivity of the NWP model quality with respect to the model parameter space has to be clarified, as well as optimize the overall procedure, in terms of required amount of computing resources for the calibration of an NWP model. Three free model parameters affecting mainly turbulence parameterization schemes were originally selected with respect to their influence on the variables associated to daily forecasts such as daily minimum and maximum 2 m temperature as well as 24 h accumulated precipitation. Preliminary results indicate that it is both affordable in terms of computer resources and meaningful in terms of improved forecast quality. In addition, the proposed methodology has the advantage of being a replicable procedure that can be applied when an updated model version is launched and/or customize the same model implementation over different climatological areas.

  13. Learning object models from few examples

    Science.gov (United States)

    Misra, Ishan; Wang, Yuxiong; Hebert, Martial

    2016-05-01

    Current computer vision systems rely primarily on fixed models learned in a supervised fashion, i.e., with extensive manually labelled data. This is appropriate in scenarios in which the information about all the possible visual queries can be anticipated in advance, but it does not scale to scenarios in which new objects need to be added during the operation of the system, as in dynamic interaction with UGVs. For example, the user might have found a new type of object of interest, e.g., a particular vehicle, which needs to be added to the system right away. The supervised approach is not practical to acquire extensive data and to annotate it. In this paper, we describe techniques for rapidly updating or creating models using sparsely labelled data. The techniques address scenarios in which only a few annotated training samples are available and need to be used to generate models suitable for recognition. These approaches are crucial for on-the-fly insertion of models by users and on-line learning.

  14. Moving from spatially segregated to transparent motion: A modelling approach.

    Science.gov (United States)

    Durant, Szonya; Donoso-Barrera, Alejandra; Tan, Sovira; Johnston, Alan

    2006-03-22

    Motion transparency, in which patterns of moving elements group together to give the impression of lacy overlapping surfaces, provides an important challenge to models of motion perception. It has been suggested that we perceive transparent motion when the shape of the velocity histogram of the stimulus is bimodal. To investigate this further, random-dot kinematogram motion sequences were created to simulate segregated (perceptually spatially separated) and transparent (perceptually overlapping) motion. The motion sequences were analysed using the multi-channel gradient model (McGM) to obtain the speed and direction at every pixel of each frame of the motion sequences. The velocity histograms obtained were found to be quantitatively similar and all were bimodal. However, the spatial and temporal properties of the velocity field differed between segregated and transparent stimuli. Transparent stimuli produced patches of rightward and leftward motion that varied in location over time. This demonstrates that we can successfully differentiate between these two types of motion on the basis of the time varying local velocity field. However, the percept of motion transparency cannot be based simply on the presence of a bimodal velocity histogram.

  15. Segmentation and Tracking of Moving Objects for Video Coding%面向视频编码的运动对象分割和提取

    Institute of Scientific and Technical Information of China (English)

    史立; 张兆扬

    2001-01-01

    Object-oriented video coding is important for the development ofmultimedia communication, in which extraction of video objects and segmentation of video object planes are key techniques. Initial moving objects are extracted from original frames by using a morphological motion filter. The subsequent frames are then matched using an active contour model(snake)method. Finally, moving objects are extracted with accurate binary contours. Experiments show that the described algorithm can extract video objects, leading to the segmentation of VOPs. This process can be completed with manual adjustment of only a few parameters.%多媒体通信的发展迫切需要面向对象的视频编解码技术,其关键是视频对象(VO)的提取和视频对象平面(VOP)的分割.现提出一种自动分割VOP的新方法.根据初始帧,使用形态运动滤波技术,初始运动对象首先被提取出,在后继帧中使用活动轮廓(Snake)技术对运动对象进行拟合匹配,最后根据一系列精确的二值轮廓导出运动对象的提取.实验结果表明,该算法可有效地提取视频对象和分割视频对象平面.除了个别参数需要调节外,整个过程是自动完成的.

  16. Accuracy assessment of the Precise Point Positioning method applied for surveys and tracking moving objects in GIS environment

    Science.gov (United States)

    Ilieva, Tamara; Gekov, Svetoslav

    2017-04-01

    The Precise Point Positioning (PPP) method gives the users the opportunity to determine point locations using a single GNSS receiver. The accuracy of the determined by PPP point locations is better in comparison to the standard point positioning, due to the precise satellite orbit and clock corrections that are developed and maintained by the International GNSS Service (IGS). The aim of our current research is the accuracy assessment of the PPP method applied for surveys and tracking moving objects in GIS environment. The PPP data is collected by using preliminary developed by us software application that allows different sets of attribute data for the measurements and their accuracy to be used. The results from the PPP measurements are directly compared within the geospatial database to different other sets of terrestrial data - measurements obtained by total stations, real time kinematic and static GNSS.

  17. Cancer genomics object model: an object model for multiple functional genomics data for cancer research.

    Science.gov (United States)

    Park, Yu Rang; Lee, Hye Won; Cho, Sung Bum; Kim, Ju Han

    2007-01-01

    The development of functional genomics including transcriptomics, proteomics and metabolomics allow us to monitor a large number of key cellular pathways simultaneously. Several technology-specific data models have been introduced for the representation of functional genomics experimental data, including the MicroArray Gene Expression-Object Model (MAGE-OM), the Proteomics Experiment Data Repository (PEDRo), and the Tissue MicroArray-Object Model (TMA-OM). Despite the increasing number of cancer studies using multiple functional genomics technologies, there is still no integrated data model for multiple functional genomics experimental and clinical data. We propose an object-oriented data model for cancer genomics research, Cancer Genomics Object Model (CaGe-OM). We reference four data models: Functional Genomic-Object Model, MAGE-OM, TMAOM and PEDRo. The clinical and histopathological information models are created by analyzing cancer management workflow and referencing the College of American Pathology Cancer Protocols and National Cancer Institute Common Data Elements. The CaGe-OM provides a comprehensive data model for integrated storage and analysis of clinical and multiple functional genomics data.

  18. Bilingual Object Naming: A Connectionist Model

    Science.gov (United States)

    Fang, Shin-Yi; Zinszer, Benjamin D.; Malt, Barbara C.; Li, Ping

    2016-01-01

    Patterns of object naming often differ between languages, but bilingual speakers develop convergent naming patterns in their two languages that are distinct from those of monolingual speakers of each language. This convergence appears to reflect interactions between lexical representations for the two languages. In this study, we developed a self-organizing connectionist model to simulate semantic convergence in the bilingual lexicon and investigate the mechanisms underlying this semantic convergence. We examined the similarity of patterns in the simulated data to empirical data from past research, and we identified how semantic convergence was manifested in the simulated bilingual lexical knowledge. Furthermore, we created impaired models in which components of the network were removed so as to examine the importance of the relevant components on bilingual object naming. Our results demonstrate that connections between two languages’ lexicons can be established through the simultaneous activations of related words in the two languages. These connections between languages allow the outputs of their lexicons to become more similar, that is, to converge. Our model provides a basis for future computational studies of how various input variables may affect bilingual naming patterns. PMID:27242575

  19. A Synthetic Algorithm for Tracking a Moving Object in a Multiple-Dynamic Obstacles Environment Based on Kinematically Planar Redundant Manipulators

    Directory of Open Access Journals (Sweden)

    Hongzhe Jin

    2017-01-01

    Full Text Available This paper presents a synthetic algorithm for tracking a moving object in a multiple-dynamic obstacles environment based on kinematically planar manipulators. By observing the motions of the object and obstacles, Spline filter associated with polynomial fitting is utilized to predict their moving paths for a period of time in the future. Several feasible paths for the manipulator in Cartesian space can be planned according to the predicted moving paths and the defined feasibility criterion. The shortest one among these feasible paths is selected as the optimized path. Then the real-time path along the optimized path is planned for the manipulator to track the moving object in real-time. To improve the convergence rate of tracking, a virtual controller based on PD controller is designed to adaptively adjust the real-time path. In the process of tracking, the null space of inverse kinematic and the local rotation coordinate method (LRCM are utilized for the arms and the end-effector to avoid obstacles, respectively. Finally, the moving object in a multiple-dynamic obstacles environment is thus tracked via real-time updating the joint angles of manipulator according to the iterative method. Simulation results show that the proposed algorithm is feasible to track a moving object in a multiple-dynamic obstacles environment.

  20. A mathematics model investigation of ideal fluids in a pipeline of moving ending

    Institute of Scientific and Technical Information of China (English)

    CHEN Bin; YI Meng-lin

    2007-01-01

    A case of ideal fluid flow in a moving ending rigid constant diameter circular pipeline is investigated.A model of the pipeline was established based on distributed-parameter theory. The comparisons on a quotient module of output and input pressure of the moving ending model and neglected ending moving model are made on the frequency response. It is revealed that the moving ending of pipeline influences largely the quotient amplitude of output and input pressure, and the peak value of frequency resonance increases with the increase of pipeline's length.

  1. Maximum Likelihood Estimation of Multivariate Autoregressive-Moving Average Models.

    Science.gov (United States)

    1977-02-01

    maximizing the same have been proposed i) in time domain by Box and Jenkins [41. Astrom [3J, Wilson [23 1, and Phadke [161, and ii) in frequency domain by...moving average residuals and other convariance matrices with linear structure ”, Anna/s of Staustics, 3. 3. Astrom , K. J. (1970), Introduction to

  2. An Inventory Model for Slow Moving Items Subject to Obsolescence

    NARCIS (Netherlands)

    C. Pinçe (Çerağ); R. Dekker (Rommert)

    2009-01-01

    textabstractIn this paper, we consider a continuous review inventory system of a slow moving item for which the demand rate drops to a lower level at a pre-determined time. Inventory system is controlled according to one-for-one replenishment policy with fixed lead time. Adaptation to the lower

  3. Prediction models from CAD models of 3D objects

    Science.gov (United States)

    Camps, Octavia I.

    1992-11-01

    In this paper we present a probabilistic prediction based approach for CAD-based object recognition. Given a CAD model of an object, the PREMIO system combines techniques of analytic graphics and physical models of lights and sensors to predict how features of the object will appear in images. In nearly 4,000 experiments on analytically-generated and real images, we show that in a semi-controlled environment, predicting the detectability of features of the image can successfully guide a search procedure to make informed choices of model and image features in its search for correspondences that can be used to hypothesize the pose of the object. Furthermore, we provide a rigorous experimental protocol that can be used to determine the optimal number of correspondences to seek so that the probability of failing to find a pose and of finding an inaccurate pose are minimized.

  4. A structured and object oriented approach to training system modeling

    OpenAIRE

    Malysheva Elena Yuryevna; Bobrovsky Sergey Michailovich

    2015-01-01

    Structured Analysis and Object Oriented Analysis are widely adopted for system modelling. The article describes the examples of university training system modeling as examples of structured modeling and object-oriented modeling.

  5. Synchronizing Self and Object Movement: How Child and Adult Cyclists Intercept Moving Gaps in a Virtual Environment

    Science.gov (United States)

    Chihak, Benjamin J.; Plumert, Jodie M.; Ziemer, Christine J.; Babu, Sabarish; Grechkin, Timofey; Cremer, James F.; Kearney, Joseph K.

    2010-01-01

    Two experiments examined how 10- and 12-year-old children and adults intercept moving gaps while bicycling in an immersive virtual environment. Participants rode an actual bicycle along a virtual roadway. At 12 test intersections, participants attempted to pass through a gap between 2 moving, car-sized blocks without stopping. The blocks were…

  6. Finite element models for the steady state analysis of moving loads

    NARCIS (Netherlands)

    Kok, A.W.M.

    2000-01-01

    The analysis of structures subjected to fast moving loads is a subject of growing interest in railway and pavement engineering. The applications of transient analyses using finite element models, however, are still very limited. The faster a load moves the more elements we need to model the structu

  7. 基于图割的压缩域运动对象提取%Moving object extraction algorithm based on graph-cuts in compressed domain

    Institute of Scientific and Technical Information of China (English)

    鲁建飞; 刘渊; 谢振平; 吴昊天

    2015-01-01

    With the increasing volume of video data in the applications such as surveillance, how to process and analyze video content in a fast and effective way has still been an attractive topic. The pixel-domain analysis method is widely adopted in moving object extraction. Although good performance can be achieved, there are some restrictions in the practical appli-cations due to its high computational complexity. In this paper, a new moving object extraction algorithm based on graph-cuts in the compressed domain is proposed. Background modeling is performed on the 4×4 blocks in the compressed domain so that the initial probability of each block can be obtained. Then a graph-cuts energy function can be constructed with the initial probability and Motion Vector (MV) information associated with each block. By introducing the graph-cuts algorithm to refine the foreground region, moving object segmentation can be quickly accomplished. Experimental results show that the new algorithm has high accuracy and low computational complexity which is very important for real application.%随着在视频监控等方面的应用,视频数据量不断增加,如何快速有效地处理和分析视频内容仍然是一个亟待解决的问题。目前的运动对象提取通常采用像素域的分析方法,虽然有较好的主客观效果,但由于计算复杂度高,在实际应用中有诸多限制。因此,提出了一种基于图割的压缩域运动对象提取算法。该算法基于4×4分块的高斯背景建模,得到视频帧中各子块的初始概率,结合运动矢量(Motion Vector)信息构造压缩域图割能量函数,利用图割算法对前景区域进行修正,从而实现对运动对象的快速提取。与其他运动区域提取算法的对比实验表明,该算法具有较高的准确率和较低的计算复杂度,具有较高的实际使用价值。

  8. Generalized Heteroskedasticity ACF for Moving Average Models in Explicit Forms

    OpenAIRE

    Samir Khaled Safi

    2014-01-01

    The autocorrelation function (ACF) measures the correlation between observations at different   distances apart. We derive explicit equations for generalized heteroskedasticity ACF for moving average of order q, MA(q). We consider two cases: Firstly: when the disturbance term follow the general covariance matrix structure Cov(wi, wj)=S with si,j ¹ 0 " i¹j . Secondly: when the diagonal elements of S are not all identical but sij = 0 " i¹j, i.e. S=diag(s11, s22,&hellip...

  9. Index of Indoor Moving Objects for Multiple Queries%支持多种查询的室内移动对象索引

    Institute of Scientific and Technical Information of China (English)

    贲婷婷; 秦小麟; 许建秋

    2015-01-01

    Moving object index is widely used in location‐based services .Since people spend large parts of their lives in indoor spaces (e .g .hospitals ,shopping malls ,subw ay systems ,etc .) ,effective management of indoor mobile data becomes very important . Existing indoor moving object indices focus on historical data queries ,and only one type of queries is supported .In this paper ,we propose a novel index ,called M QII (multiple queries indoor index ) ,w hich supports not only history queries and present queries ,but also object queries and range queries .M QII is based on graph‐based model , and can index two aspects with the object list and bucket list structure ,such as the object and spatial‐temporal scales .In order to improve the query performance ,we present a RFID (radio frequency identification) data preprocessing method to reduce the size of the input data sets for M QII . Furthermore ,effective update and query algorithms are developed .Experimental results show that compared with existing indoor moving object indices ,the data preprocessing can reduce the amount of data .In addition ,the index we proposed not only supports history queries and present queries ,but also provides efficient object location queries ,trajectory queries and range queries .This method can be used in various indoor spaces such as office buildings ,hospitals and hotels .%随着室内定位技术的广泛应用,室内位置服务快速发展。移动对象索引技术作为支撑位置服务的核心技术,大多数都基于室外环境,难以直接应用于室内空间。现有的室内移动对象索引,仅关注对移动对象历史数据的查询,且支持的查询类型单一。为此,提出MQII(multiple queries indoor index)索引结构,对移动对象历史和当前位置信息进行索引,能够同时支持对象位置查询、轨迹查询以及时空范围查询。索引采用对象链表和桶链表结构,实现从对象和时空范围2

  10. Forward Models for Following a Moving Target with the Puma 560 Robot Manipulator

    Directory of Open Access Journals (Sweden)

    Daniel Fernando Tello Gamarra

    2015-12-01

    Full Text Available This paper describes how a forward model could be applied in a manipulator robot to accomplish the task of following a moving target. The forward model has been implemented in the puma 560 robot manipulator in simulation after a babbling motor phase using ANFIS neural networks. The forward model delivers a rough estimation of the position in the operational space of a moving target. Using this information a Cartesian controller tracks the moving target. An implementation of the proposed architecture and the Piepmeir algorithm for the problem of following a moving target is also shown in the paper. The control architecture proposed in this paper was also tested with MLP and RBF neural networks. Results and simulations are shown to demonstrate the applicability of our proposed architecture for tracking a moving target.

  11. Validation of a multi-objective, predictive urban traffic model

    NARCIS (Netherlands)

    Wilmink, I.R.; Haak, P. van den; Woldeab, Z.; Vreeswijk, J.

    2013-01-01

    This paper describes the results of the verification and validation of the ecoStrategic Model, which was developed, implemented and tested in the eCoMove project. The model uses real-time and historical traffic information to determine the current, predicted and desired state of traffic in a network

  12. Modelling object typicality in description logics

    CSIR Research Space (South Africa)

    Britz, K

    2009-12-01

    Full Text Available base consists of a Tbox which contains terminological axioms, and an Abox which contains assertions, i.e. facts about specific named objects and rela- tionships between objects in the domain. Depending on the expressive power of the DL, a knowledge...”. An interpretation I satisfies C v D, written I C v D, iff CI ⊆ DI . C v D is valid, written |= C v D, iff it is satisfied by all interpretations. Rbox statements include role inclusions of the form R v S, and assertions used to define role proper- ties...

  13. An improved model for noise barriers in a moving fluid

    Science.gov (United States)

    Ahmad, Bashir

    2006-09-01

    We study a problem of diffraction of a cylindrical acoustic wave from an absorbing half plane in a moving fluid introducing Myers' condition [M.K. Myers, On the acoustic boundary condition in the presence of flow, J. Sound Vibration 71 (1980) 429] and present an improved form of the analytic solution for the diffracted field. The importance of the work lies in the fact that Myers' condition (a generalization of Ingard's impedance condition) is now the accepted form of the boundary condition for impedance barriers with flow and hence yields a correct form of the field. The method of solution consists of Fourier transform, Wiener-Hopf technique and the modified method of stationary phase.

  14. Offset-Free Model Predictive Control of Open Water Channel Based on Moving Horizon Estimation

    Science.gov (United States)

    Ekin Aydin, Boran; Rutten, Martine

    2016-04-01

    Model predictive control (MPC) is a powerful control option which is increasingly used by operational water managers for managing water systems. The explicit consideration of constraints and multi-objective management are important features of MPC. However, due to the water loss in open water systems by seepage, leakage and evaporation a mismatch between the model and the real system will be created. These mismatch affects the performance of MPC and creates an offset from the reference set point of the water level. We present model predictive control based on moving horizon estimation (MHE-MPC) to achieve offset free control of water level for open water canals. MHE-MPC uses the past predictions of the model and the past measurements of the system to estimate unknown disturbances and the offset in the controlled water level is systematically removed. We numerically tested MHE-MPC on an accurate hydro-dynamic model of the laboratory canal UPC-PAC located in Barcelona. In addition, we also used well known disturbance modeling offset free control scheme for the same test case. Simulation experiments on a single canal reach show that MHE-MPC outperforms disturbance modeling offset free control scheme.

  15. Trajectory recognition as the basis for object individuation: A functional model of object file instantiation and object token encoding

    Directory of Open Access Journals (Sweden)

    Chris eFields

    2011-03-01

    Full Text Available The perception of persisting visual objects is mediated by transient intermediate representations, object files, that are instantiated in response to some, but not all, visual trajectories. The standard object file concept does not, however, provide a mechanism sufficient to account for all experimental data on visual object persistence, object tracking, and the ability to perceive spatially-disconnected stimuli as continuously-existing objects. Based on relevant anatomical, functional, and developmental data, a functional model is constructed that bases visual object individuation on the recognition of temporal sequences of apparent center-of-mass positions that are specifically identified as trajectories by dedicated trajectory recognition networks downstream of the medial-temporal motion detection area. This model is shown to account for a wide range of data, and to generate a variety of testable predictions. Individual differences in the recognition, abstraction and encoding of trajectory information are expected to generate distinct object persistence judgments and object recognition abilities. Dominance of trajectory information over feature information in stored object tokens during early infancy, in particular, is expected to disrupt the ability to re-identify human and other individuals across perceptual episodes, and lead to developmental outcomes with characteristics of autism spectrum disorders.

  16. Detection algorithm of moving object based on predicted SIFT feature%基于SIFT特征与预测的运动目标检测算法

    Institute of Scientific and Technical Information of China (English)

    吴忠良; 余升

    2015-01-01

    An improved detection algorithm of SIFT feature marching is provided for rapid detection to moving object in dy⁃namic scene. The matched feature points are extracted by SIFT method,and the rotation parameter model is established for global motion. The influence of exterior points is eliminated by RANSAC method. The global motion parameters are solved by the least square method,and the feature points are updated by the updating strategy based on residual image block. This matching algo⁃rithm is based on the predicted SIFT feature points,which can remain the high performance of SIFT method and improve the de⁃tection rate of the object. Compared with the experimental results of block matching algorithm,it demonstrates that this algo⁃rithm can detect moving object accurately and in real⁃time.%为了在动态场景下对运动目标进行快速检测,提出一个改进的SIFT特征匹配的检测算法。首先采用SIFT方法提取匹配的特征点;然后为全局运动建立起旋转参数模型,并使用RANSAC方法排除外点的影响,运用最小二乘法求解全局运动参数;最后利用基于残差图像块的更新策略对特征点进行更新。该算法是基于预测的SIFT特征点匹配算法,不仅保持了SIFT方法的优越性能,而且提高了检测目标的速度。与块匹配算法的实验结果对比表明,该算法可以实时准确地检测出运动目标。

  17. Image-Based Multiresolution Implicit Object Modeling

    Directory of Open Access Journals (Sweden)

    Sarti Augusto

    2002-01-01

    Full Text Available We discuss two image-based 3D modeling methods based on a multiresolution evolution of a volumetric function′s level set. In the former method, the role of the level set implosion is to fuse ("sew" and "stitch" together several partial reconstructions (depth maps into a closed model. In the later, the level set′s implosion is steered directly by the texture mismatch between views. Both solutions share the characteristic of operating in an adaptive multiresolution fashion, in order to boost up computational efficiency and robustness.

  18. Modelling Framework of a Neural Object Recognition

    Directory of Open Access Journals (Sweden)

    Aswathy K S

    2016-02-01

    Full Text Available In many industrial, medical and scientific image processing applications, various feature and pattern recognition techniques are used to match specific features in an image with a known template. Despite the capabilities of these techniques, some applications require simultaneous analysis of multiple, complex, and irregular features within an image as in semiconductor wafer inspection. In wafer inspection discovered defects are often complex and irregular and demand more human-like inspection techniques to recognize irregularities. By incorporating neural network techniques such image processing systems with much number of images can be trained until the system eventually learns to recognize irregularities. The aim of this project is to develop a framework of a machine-learning system that can classify objects of different category. The framework utilizes the toolboxes in the Matlab such as Computer Vision Toolbox, Neural Network Toolbox etc.

  19. Modeling evaporation of sessile drops with moving contact lines.

    Science.gov (United States)

    Murisic, N; Kondic, L

    2008-12-01

    We consider evaporation of pure liquid drops on a thermally conductive substrate. Two commonly used evaporative models are considered: one that concentrates on the liquid phase in determining the evaporative flux and the other one that centers on the gas-vapor phase. A single governing equation for the evolution of drop thickness, including both models, is developed. We show how the derived governing equation can be used to predict which evaporation model is appropriate for different considered experimental conditions.

  20. Nonlinear modeling of an aerospace object dynamics

    Science.gov (United States)

    Davydov, I. E.; Davydov, E. I.

    2017-01-01

    Here are presented the scientific results, obtained by motion modeling of complicated technical systems of aerospace equipment with consideration of nonlinearities. Computerized panel that allows to measure mutual influence of the system's motion and stabilization device with consideration of its real characteristics has been developed. Analysis of motion stability of a system in general has been carried out and time relationships of the system's motion taking in account nonlinearities are presented.

  1. Exponential Bounds for Ruin Probability in Two Moving Average Risk Models with Constant Interest Rate

    Institute of Scientific and Technical Information of China (English)

    Ding Jun YAO; Rong Ming WANG

    2008-01-01

    The authors consider two discrete-time insurance risk models. Two moving average risk models are introduced to model the surplus process, and the probabilities of ruin are examined in models with a constant interest force. Exponential bounds for ruin probabilities of an infinite time horizon are derived by the martingale method.

  2. Theory of optomechanics: Oscillator-field model of moving mirrors

    CERN Document Server

    Galley, Chad R; Hu, B L

    2012-01-01

    In this paper we present a model for the kinematics and dynamics of optomechanics which describe the coupling between an optical field, here modeled by a massless scalar field, and the internal (e.g., determining its reflectivity) and mechanical (e.g., displacement) degrees of freedom of a moveable mirror. As opposed to implementing boundary conditions on the field we highlight the internal dynamics of the mirror which provides added flexibility to describe a variety of setups relevant to current experiments. The inclusion of the internal degrees of freedom in this model allows for a variety of optical activities of mirrors from those exhibiting broadband reflective properties to the cases where reflection is suppressed except for a narrow band centered around the characteristic frequency associated with the mirror's internal dynamics. After establishing the model and the reflective properties of the mirror we show how appropriate parameter choices lead to useful optomechanical models such as the well known B...

  3. CASTOR detector Model, objectives and simulated performance

    CERN Document Server

    Angelis, Aris L S; Bartke, Jerzy; Bogolyubsky, M Yu; Chileev, K; Erine, S; Gladysz-Dziadus, E; Kharlov, Yu V; Kurepin, A B; Lobanov, M O; Maevskaya, A I; Mavromanolakis, G; Nicolis, N G; Panagiotou, A D; Sadovsky, S A; Wlodarczyk, Z

    2001-01-01

    We present a phenomenological model describing the formation and evolution of a Centauro fireball in the baryon-rich region in nucleus-nucleus interactions in the upper atmosphere and at the LHC. The small particle multiplicity and imbalance of electromagnetic and hadronic content characterizing a Centauro event and also the strongly penetrating particles (assumed to be strangelets) frequently accompanying them can be naturally explained. We describe the CASTOR calorimeter, a subdetector of the ALICE experiment dedicated to the search for Centauro in the very forward, baryon-rich region of central Pb+Pb collisions at the LHC. The basic characteristics and simulated performance of the calorimeter are presented. (22 refs).

  4. CASTOR detector. Model, objectives and simulated performance

    Energy Technology Data Exchange (ETDEWEB)

    Angelis, A. L. S.; Mavromanolakis, G.; Panagiotou, A. D. [University of Athens, Nuclear and Particle Physics Division, Athens (Greece); Aslanoglou, X.; Nicolis, N. [Ioannina Univ., Ioannina (Greece). Dept. of Physics; Bartke, J.; Gladysz-Dziadus, E. [Institute of Nuclear Physics, Cracow (Poland); Lobanov, M.; Erine, S.; Kharlov, Y.V.; Bogolyubsky, M.Y. [Institute for High Energy Physics, Protvino (Russian Federation); Kurepin, A.B.; Chileev, K. [Institute for Nuclear Research, Moscow (Russian Federation); Wlodarczyk, Z. [Pedagogical University, Institute of Physics, Kielce (Poland)

    2001-10-01

    It is presented a phenomenological model describing the formation and evolution of a Centauro fireball in the baryon-rich region in nucleus-nucleus interactions in the upper atmosphere and at the LHC. The small particle multiplicity and imbalance of electromagnetic and hadronic content characterizing a Centauro event and also the strongly penetrating particles (assumed to be strangelets) frequently accompanying them can be naturally explained. It is described the CASTOR calorimeter, a sub detector of the ALICE experiment dedicated to the search for Centauro in the very forward, baryon-rich region of central Pb+Pb collisions at the LHC. The basic characteristics and simulated performance of the calorimeter are presented.

  5. Traffic Modelling for Moving-Block Train Control System

    Institute of Scientific and Technical Information of China (English)

    TANG Tao; LI Ke-Ping

    2007-01-01

    This paper presents a new cellular automaton (CA) model for train control system simulation.In the proposed CA model,the driver reactions to train movements are captured by some updated rules.The space-time diagram of traffic flow and the trajectory of train movement is used to obtain insight into the characteristic behavior of railway traffic flow.A number of simulation results demonstrate that the proposed CA model can be successfully used for the simulations of railway traffic.Not only the characteristic behavior of railway traffic flow can be reproduced,but also the simulation values of the minimum time headway are close to the theoretical values.

  6. Numerical modeling of surf beat generated by moving breakpoint

    Institute of Scientific and Technical Information of China (English)

    DONG GuoHai; MA XiaoZhou; TENG Bin

    2009-01-01

    As an important hydrodynamic phenomenon in the nearshore zone, the cross-shore surf beat is nu-merically studied in this paper with a fully nonlinear Boussinesq-type model, which resolves the pri-mary wave motion as well as the long waves. Compared with the classical Boussinesq equations, the equations adopted here allow for improved linear dispersion characteristics. Wave breaking and run-up in the swash zone are included in the numerical model. Mutual interactions between short waves and long waves are inherent in the model. The numerical study of long waves is based on bichromatic wave groups with a wide range of mean frequencies, group frequencies and modulation rates. The cross-shore variation in the amplitudes of short waves and long waves is investigated. The model results are compared with laboratory experiments from the literature and good agreement is found.

  7. Numerical modeling of surf beat generated by moving breakpoint

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    As an important hydrodynamic phenomenon in the nearshore zone, the cross-shore surf beat is numerically studied in this paper with a fully nonlinear Boussinesq-type model, which resolves the primary wave motion as well as the long waves. Compared with the classical Boussinesq equations, the equations adopted here allow for improved linear dispersion characteristics. Wave breaking and run-up in the swash zone are included in the numerical model. Mutual interactions between short waves and long waves are inherent in the model. The numerical study of long waves is based on bichromatic wave groups with a wide range of mean frequencies, group frequencies and modulation rates. The cross-shore variation in the amplitudes of short waves and long waves is investigated. The model results are compared with laboratory experiments from the literature and good agreement is found.

  8. Estimation and Forecasting in Vector Autoregressive Moving Average Models for Rich Datasets

    DEFF Research Database (Denmark)

    Dias, Gustavo Fruet; Kapetanios, George

    We address the issue of modelling and forecasting macroeconomic variables using rich datasets, by adopting the class of Vector Autoregressive Moving Average (VARMA) models. We overcome the estimation issue that arises with this class of models by implementing an iterative ordinary least squares...... alternative scenarios. Our empirical application shows that VARMA models are feasible alternatives when forecasting with many predictors. We show that VARMA models outperform the AR(1), BVAR and factor models, considering different model dimensions....

  9. Object interaction competence model v. 2.0

    DEFF Research Database (Denmark)

    Bennedsen, Jens; Schulte, C.

    2013-01-01

    Teaching and learning object oriented programming has to take into account the specific object oriented characteristics of program execution, namely the interaction of objects during runtime. Prior to the research reported in this article, we have developed a competence model for object interaction...

  10. Jaguars on the move: modeling movement to mitigate fragmentation from road expansion in the Mayan Forests

    DEFF Research Database (Denmark)

    Colchero, Fernando; Conde, Dalia Amor; Manterola, Carlos

    2011-01-01

    -telemetry and GPS data to infer the movement behavior of jaguars Panthera onca as a response to vegetation, roads and human population density in the Mayan Forests of Mexico and Guatemala. We used the results of the model to simulate jaguars moving along a road that bisects the major reserve system in the area....... The aim of the simulations was to identify suitable locations for wildlife passes. We found that jaguars move preferentially to undisturbed forests and that females avoid moving close to roads and to areas with even low levels of human occupation. Males also avoid roads, but to a lesser degree, and appear...

  11. Spatial Econometric data analysis: moving beyond traditional models

    NARCIS (Netherlands)

    Florax, R.J.G.M.; Vlist, van der A.J.

    2003-01-01

    This article appraises recent advances in the spatial econometric literature. It serves as the introduction too collection of new papers on spatial econometric data analysis brought together in this special issue, dealing specifically with new extensions to the spatial econometric modeling perspecti

  12. Moving across the border: Modeling migratory bat populations

    Science.gov (United States)

    Ruscena, Wiederholt; López-Hoffman, Laura; Cline, Jon; Medellin, Rodrigo; Cryan, Paul M.; Russell, Amy; McCracken, Gary; Diffendorfer, Jay; Semmens, Darius J.

    2013-01-01

    The migration of animals across long distances and between multiple habitats presents a major challenge for conservation. For the migratory Mexican free-tailed bat (Tadarida brasiliensis mexicana), these challenges include identifying and protecting migratory routes and critical roosts in two countries, the United States and Mexico. Knowledge and conservation of bat migratory routes is critical in the face of increasing threats from climate change and wind turbines that might decrease migratory survival. We employ a new modeling approach for bat migration, network modeling, to simulate migratory routes between winter habitat in southern Mexico and summer breeding habitat in northern Mexico and the southwestern United States. We use the model to identify key migratory routes and the roosts of greatest conservation value to the overall population. We measure roost importance by the degree to which the overall bat population declined when the roost was removed from the model. The major migratory routes—those with the greatest number of migrants—were between winter habitat in southern Mexico and summer breeding roosts in Texas and the northern Mexican states of Sonora and Nuevo Leon. The summer breeding roosts in Texas, Sonora, and Nuevo Leon were the most important for maintaining population numbers and network structure – these are also the largest roosts. This modeling approach contributes to conservation efforts by identifying the most influential areas for bat populations, and can be used as a tool to improve our understanding of bat migration for other species. We anticipate this approach will help direct coordination of habitat protection across borders.

  13. EyeGrip: Detecting Targets in a Series of Uni-directional Moving Objects Using Optokinetic Nystagmus Eye Movements

    DEFF Research Database (Denmark)

    Jalaliniya, Shahram; Mardanbeigi, Diako

    2016-01-01

    computers. In this paper, we demonstrate the rich capabilities of EyeGrip with two example applications: 1) a mind reading game, and 2) a picture selection system. Our study shows that by selecting an appropriate speed and maximum number of visible images in the screen the proposed method can be used...... the user looks at a sequence of images moving horizontally on the display while the user's eye movements are tracked by an eye tracker. We conducted an experiment that shows the performance of the proposed approach. We also investigated the influence of the speed and maximum number of visible images...

  14. Flexible modeling frameworks to replace small ensembles of hydrological models and move toward large ensembles?

    Science.gov (United States)

    Addor, Nans; Clark, Martyn P.; Mizukami, Naoki

    2017-04-01

    -HMS and the second group three models generated using FUSE. All models are driven by CMIP5 model runs bias-corrected and downscaled. We explore whether the range of outcomes projected by the first group can be captured by the second group, i.e. whether a flexible modeling framework like FUSE can replace a small ensemble of hydrological models typically used for impact modeling. We envision that flexible modeling frameworks will allow us to provide more reliable and more tractable estimates of the uncertainty in hydrological projections, and to progressively move toward large ensembles of hydrological models.

  15. Moving from Victim to Survivor of Cultural Violence: A Conceptual Model

    Science.gov (United States)

    Salazar, Carmen F.; Casto, Challon

    2008-01-01

    The authors propose the Moving From Victim to Survivor of Cultural Violence model, using the stages of D. W. Sue and D. Sue's (1999) Racial/Cultural Identity Development model. This conceptual model describes the process of first overcoming internalized sexism, domestic abuse, sexual harassment, rape, and other forms of oppression and then healing…

  16. Multi-objective vs. single-objective calibration of a hydrologic model using single- and multi-objective screening

    Science.gov (United States)

    Mai, Juliane; Cuntz, Matthias; Shafii, Mahyar; Zink, Matthias; Schäfer, David; Thober, Stephan; Samaniego, Luis; Tolson, Bryan

    2016-04-01

    Hydrologic models are traditionally calibrated against observed streamflow. Recent studies have shown however, that only a few global model parameters are constrained using this kind of integral signal. They can be identified using prior screening techniques. Since different objectives might constrain different parameters, it is advisable to use multiple information to calibrate those models. One common approach is to combine these multiple objectives (MO) into one single objective (SO) function and allow the use of a SO optimization algorithm. Another strategy is to consider the different objectives separately and apply a MO Pareto optimization algorithm. In this study, two major research questions will be addressed: 1) How do multi-objective calibrations compare with corresponding single-objective calibrations? 2) How much do calibration results deteriorate when the number of calibrated parameters is reduced by a prior screening technique? The hydrologic model employed in this study is a distributed hydrologic model (mHM) with 52 model parameters, i.e. transfer coefficients. The model uses grid cells as a primary hydrologic unit, and accounts for processes like snow accumulation and melting, soil moisture dynamics, infiltration, surface runoff, evapotranspiration, subsurface storage and discharge generation. The model is applied in three distinct catchments over Europe. The SO calibrations are performed using the Dynamically Dimensioned Search (DDS) algorithm with a fixed budget while the MO calibrations are achieved using the Pareto Dynamically Dimensioned Search (PA-DDS) algorithm allowing for the same budget. The two objectives used here are the Nash Sutcliffe Efficiency (NSE) of the simulated streamflow and the NSE of the logarithmic transformation. It is shown that the SO DDS results are located close to the edges of the Pareto fronts of the PA-DDS. The MO calibrations are hence preferable due to their supply of multiple equivalent solutions from which the

  17. The mass and temperature functions in a moving barrier model

    CERN Document Server

    Popolo, A D

    2002-01-01

    In this paper, I use the extension of the excursion set model of Sheth & Tormen (2002) and the barrier shape obtained in Del Popolo & Gambera (1998) to calculate the unconditional halo mass function, and the conditional mass function in several cosmological models. I show that the barrier obtained in Del Popolo & Gambera (1998), which takes account of tidal interaction between proto-haloes, is a better description of the mass functions than the spherical collapse and is in good agreement with numerical simulations (Tozzi & Governato 1998, and Governato et al. 1999). The results are also in good agreement with those obtained by Sheth & Tormen (2002), only slight differences are observed expecially at the low mass end. I moreover calculate, and compare with simulations, the temperature function obtained by means of the mass functions previously calculated and also using an improved version of the M-T relation, which accounts for the fact that massive clusters accrete matter quasi-continuousl...

  18. MoVES - A Framework for Modelling and Verifying Embedded Systems

    DEFF Research Database (Denmark)

    Brekling, Aske Wiid; Hansen, Michael Reichhardt; Madsen, Jan

    2009-01-01

    The MoVES framework is being developed to assist in the early phases of embedded systems design. A system is modelled as an application running on an execution platform. The application is modelled through the individual tasks, and the execution platform is modelled through the processing elements...... consumption. A simple specification language for embedded systems and a verification backend are presented. The framework has a modular, parameterized structure supporting easy extension and adaptation of the specification language as well as of the verification backend. We show, using a number of small...... examples, how MoVES can be used to model and analyze embedded systems....

  19. Communication Skills Training in Pediatric Oncology: Moving Beyond Role Modeling.

    Science.gov (United States)

    Feraco, Angela M; Brand, Sarah R; Mack, Jennifer W; Kesselheim, Jennifer C; Block, Susan D; Wolfe, Joanne

    2016-06-01

    Communication is central to pediatric oncology care. Pediatric oncologists disclose life-threatening diagnoses, explain complicated treatment options, and endeavor to give honest prognoses, to maintain hope, to describe treatment complications, and to support families in difficult circumstances ranging from loss of function and fertility to treatment-related or disease-related death. However, parents, patients, and providers report substantial communication deficits. Poor communication outcomes may stem, in part, from insufficient communication skills training, overreliance on role modeling, and failure to utilize best practices. This review summarizes evidence for existing methods to enhance communication skills and calls for revitalizing communication skills training within pediatric oncology.

  20. Moving Forward on Sustainable Energy Transitions: The Smart Rural Model

    Directory of Open Access Journals (Sweden)

    Francesca Poggi

    2015-06-01

    Full Text Available Among the different aspects that promote Sustainable Development, energy is a critical concern to meet the needs of present and future generations in a global-scale and long-term vision. Going beyond the emergence of local responses such as “Nearly Zero-Energy Buildings” or “Smart Cities” models, a more comprehensive view on sustainable energy planning, which involves urban and rural areas as an energetically balanced whole, has to be promoted. Central to this approach is the concept of transition which urges to be conceived in a broader and incremental change of society as pleaded by Rob Hopkins in Transition Towns. Spatial planning is able to manage the complex relationships between environment, economy and society and can represent the driver to implement integrated approaches and adaptive strategies towards the transition from “the actual fossil fuels system” to “a future net zero fossil fuels system”. This paper presents how such questions are being addressed and developed within the field of the doctoral thesis entitled “Smart Rural: energy efficiency and renewable energies in rural areas”. The interdisciplinary research design flow and expected results that support the Smart Rural model are presented in order to debate the thesis statement : “Can an integrated planning process for energy efficiency and renewable energies in rural areas, support the “Net-Zero Energy” balance at the municipal scale?” Keywords: Sustainable energy; transition towns; smart rural; energy efficiency; renewable energies; energy balance.

  1. Modeling 4D Human-Object Interactions for Joint Event Segmentation, Recognition, and Object Localization.

    Science.gov (United States)

    Wei, Ping; Zhao, Yibiao; Zheng, Nanning; Zhu, Song-Chun

    2016-06-01

    In this paper, we present a 4D human-object interaction (4DHOI) model for solving three vision tasks jointly: i) event segmentation from a video sequence, ii) event recognition and parsing, and iii) contextual object localization. The 4DHOI model represents the geometric, temporal, and semantic relations in daily events involving human-object interactions. In 3D space, the interactions of human poses and contextual objects are modeled by semantic co-occurrence and geometric compatibility. On the time axis, the interactions are represented as a sequence of atomic event transitions with coherent objects. The 4DHOI model is a hierarchical spatial-temporal graph representation which can be used for inferring scene functionality and object affordance. The graph structures and parameters are learned using an ordered expectation maximization algorithm which mines the spatial-temporal structures of events from RGB-D video samples. Given an input RGB-D video, the inference is performed by a dynamic programming beam search algorithm which simultaneously carries out event segmentation, recognition, and object localization. We collected and released a large multiview RGB-D event dataset which contains 3,815 video sequences and 383,036 RGB-D frames captured by three RGB-D cameras. The experimental results on three challenging datasets demonstrate the strength of the proposed method.

  2. Moving Model Test of High-Speed Train Aerodynamic Drag Based on Stagnation Pressure Measurements.

    Science.gov (United States)

    Yang, Mingzhi; Du, Juntao; Li, Zhiwei; Huang, Sha; Zhou, Dan

    2017-01-01

    A moving model test method based on stagnation pressure measurements is proposed to measure the train aerodynamic drag coefficient. Because the front tip of a high-speed train has a high pressure area and because a stagnation point occurs in the center of this region, the pressure of the stagnation point is equal to the dynamic pressure of the sensor tube based on the obtained train velocity. The first derivation of the train velocity is taken to calculate the acceleration of the train model ejected by the moving model system without additional power. According to Newton's second law, the aerodynamic drag coefficient can be resolved through many tests at different train speeds selected within a relatively narrow range. Comparisons are conducted with wind tunnel tests and numerical simulations, and good agreement is obtained, with differences of less than 6.1%. Therefore, the moving model test method proposed in this paper is feasible and reliable.

  3. 3D Object Recognition Based on Linear Lie Algebra Model

    Institute of Scientific and Technical Information of China (English)

    LI Fang-xing; WU Ping-dong; SUN Hua-fei; PENG Lin-yu

    2009-01-01

    A surface model called the fibre bundle model and a 3D object model based on linear Lie algebra model are proposed.Then an algorithm of 3D object recognition using the linear Lie algebra models is presented.It is a convenient recognition method for the objects which are symmetric about some axis.By using the presented algorithm,the representation matrices of the fibre or the base curve from only finite points of the linear Lie algebra model can be obtained.At last some recognition results of practicalities are given.

  4. Parabolic Anderson model with a finite number of moving catalysts

    CERN Document Server

    Castell, Fabienne; Maillard, Grégory

    2010-01-01

    We consider the parabolic Anderson model (PAM) which is given by the equation $\\partial u/\\partial t = \\kappa\\Delta u + \\xi u$ with $u\\colon\\, \\Z^d\\times [0,\\infty)\\to \\R$, where $\\kappa \\in [0,\\infty)$ is the diffusion constant, $\\Delta$ is the discrete Laplacian, and $\\xi\\colon\\,\\Z^d\\times [0,\\infty)\\to\\R$ is a space-time random environment that drives the equation. The solution of this equation describes the evolution of a ``reactant'' $u$ under the influence of a ``catalyst'' $\\xi$. In the present paper we focus on the case where $\\xi$ is a system of $n$ independent simple random walks each with step rate $2d\\rho$ and starting from the origin. We study the \\emph{annealed} Lyapunov exponents, i.e., the exponential growth rates of the successive moments of $u$ w.r.t.\\ $\\xi$ and show that these exponents, as a function of the diffusion constant $\\kappa$ and the rate constant $\\rho$, behave differently depending on the dimension $d$. In particular, we give a description of the intermittent behavior of the sys...

  5. Viewpoints: a framework for object oriented database modelling and distribution

    Directory of Open Access Journals (Sweden)

    Fouzia Benchikha

    2006-01-01

    Full Text Available The viewpoint concept has received widespread attention recently. Its integration into a data model improves the flexibility of the conventional object-oriented data model and allows one to improve the modelling power of objects. The viewpoint paradigm can be used as a means of providing multiple descriptions of an object and as a means of mastering the complexity of current database systems enabling them to be developed in a distributed manner. The contribution of this paper is twofold: to define an object data model integrating viewpoints in databases and to present a federated database system integrating multiple sources following a local-as-extended-view approach.

  6. Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models

    Energy Technology Data Exchange (ETDEWEB)

    Pappas, S.S. [Department of Information and Communication Systems Engineering, University of the Aegean, Karlovassi, 83 200 Samos (Greece); Ekonomou, L.; Chatzarakis, G.E. [Department of Electrical Engineering Educators, ASPETE - School of Pedagogical and Technological Education, N. Heraklion, 141 21 Athens (Greece); Karamousantas, D.C. [Technological Educational Institute of Kalamata, Antikalamos, 24100 Kalamata (Greece); Katsikas, S.K. [Department of Technology Education and Digital Systems, University of Piraeus, 150 Androutsou Srt., 18 532 Piraeus (Greece); Liatsis, P. [Division of Electrical Electronic and Information Engineering, School of Engineering and Mathematical Sciences, Information and Biomedical Engineering Centre, City University, Northampton Square, London EC1V 0HB (United Kingdom)

    2008-09-15

    This study addresses the problem of modeling the electricity demand loads in Greece. The provided actual load data is deseasonilized and an AutoRegressive Moving Average (ARMA) model is fitted on the data off-line, using the Akaike Corrected Information Criterion (AICC). The developed model fits the data in a successful manner. Difficulties occur when the provided data includes noise or errors and also when an on-line/adaptive modeling is required. In both cases and under the assumption that the provided data can be represented by an ARMA model, simultaneous order and parameter estimation of ARMA models under the presence of noise are performed. The produced results indicate that the proposed method, which is based on the multi-model partitioning theory, tackles successfully the studied problem. For validation purposes the produced results are compared with three other established order selection criteria, namely AICC, Akaike's Information Criterion (AIC) and Schwarz's Bayesian Information Criterion (BIC). The developed model could be useful in the studies that concern electricity consumption and electricity prices forecasts. (author)

  7. Accretion-caused deceleration of a gravitationally powerful compact stellar object moving within a dense Fermi gas

    CERN Document Server

    Tito, Elizabeth P

    2016-01-01

    We consider accretion-caused deceleration of a gravitationally-powerful compact stellar object traveling within a cold Fermi-gas medium. We provide analytical and numerical estimates of the effect manifestation.

  8. Ultrasonic position and velocity measurement for a moving object by M-sequence pulse compression using Doppler velocity estimation by spectrum-pattern analysis

    Science.gov (United States)

    Ikari, Yohei; Hirata, Shinnosuke; Hachiya, Hiroyuki

    2015-07-01

    Pulse compression using a maximum-length sequence (M-sequence) can improve the signal-to-noise ratio (SNR) of the reflected echo in the pulse-echo method. In the case of a moving object, however, the echo is modulated owing to the Doppler effect. The Doppler-shifted M-sequence-modulated signal cannot be correlated with the reference signal that corresponds to the transmitted M-sequence-modulated signal. Therefore, Doppler velocity estimation by spectrum-pattern analysis of a cyclic M-sequence-modulated signal and cross correlations with Doppler-shifted reference signals that correspond to the estimated Doppler velocities has been proposed. In this paper, measurements of the position and velocity of a moving object by the proposed method are described. First, Doppler velocities of the object are estimated using a microphone array. Secondly, the received signal from each microphone is correlated with each Doppler-shifted reference signal. Then, the position of the object is determined from the B-mode image formed from all cross-correlation functions. After that, the velocity of the object is calculated from velocity components estimated from the Doppler velocities and the position. Finally, the estimated Doppler velocities, determined positions, and calculated velocities are evaluated.

  9. A new concept of real-time security camera monitoring with privacy protection by masking moving objects

    Science.gov (United States)

    Yabuta, Kenichi; Kitazawa, Hitoshi; Tanaka, Toshihisa

    2006-02-01

    Recently, monitoring cameras for security have been extensively increasing. However, it is normally difficult to know when and where we are monitored by these cameras and how the recorded images are stored and/or used. Therefore, how to protect privacy in the recorded images is a crucial issue. In this paper, we address this problem and introduce a framework for security monitoring systems considering the privacy protection. We state requirements for monitoring systems in this framework. We propose a possible implementation that satisfies the requirements. To protect privacy of recorded objects, they are made invisible by appropriate image processing techniques. Moreover, the original objects are encrypted and watermarked into the image with the "invisible" objects, which is coded by the JPEG standard. Therefore, the image decoded by a normal JPEG viewer includes the objects that are unrecognized or invisible. We also introduce in this paper a so-called "special viewer" in order to decrypt and display the original objects. This special viewer can be used by limited users when necessary for crime investigation, etc. The special viewer allows us to choose objects to be decoded and displayed. Moreover, in this proposed system, real-time processing can be performed, since no future frame is needed to generate a bitstream.

  10. Finite difference time domain modeling of steady state scattering from jet engines with moving turbine blades

    Science.gov (United States)

    Ryan, Deirdre A.; Langdon, H. Scott; Beggs, John H.; Steich, David J.; Luebbers, Raymond J.; Kunz, Karl S.

    1992-01-01

    The approach chosen to model steady state scattering from jet engines with moving turbine blades is based upon the Finite Difference Time Domain (FDTD) method. The FDTD method is a numerical electromagnetic program based upon the direct solution in the time domain of Maxwell's time dependent curl equations throughout a volume. One of the strengths of this method is the ability to model objects with complicated shape and/or material composition. General time domain functions may be used as source excitations. For example, a plane wave excitation may be specified as a pulse containing many frequencies and at any incidence angle to the scatterer. A best fit to the scatterer is accomplished using cubical cells in the standard cartesian implementation of the FDTD method. The material composition of the scatterer is determined by specifying its electrical properties at each cell on the scatterer. Thus, the FDTD method is a suitable choice for problems with complex geometries evaluated at multiple frequencies. It is assumed that the reader is familiar with the FDTD method.

  11. A General Polygon-based Deformable Model for Object Recognition

    DEFF Research Database (Denmark)

    Jensen, Rune Fisker; Carstensen, Jens Michael

    1999-01-01

    We propose a general scheme for object localization and recognition based on a deformable model. The model combines shape and image properties by warping a arbitrary prototype intensity template according to the deformation in shape. The shape deformations are constrained by a probabilistic...... distribution, which combined with a match of the warped intensity template and the image form the final criteria used for localization and recognition of a given object. The chosen representation gives the model an ability to model an almost arbitrary object. Beside the actual model a full general scheme...

  12. Categorizing moving objects into film genres: the effect of animacy attribution, emotional response, and the deviation from non-fiction.

    Science.gov (United States)

    Visch, Valentijn T; Tan, Ed S

    2009-02-01

    The reported study follows the footsteps of Heider, and Simmel (1944) [Heider, F., & Simmel, M. (1944). An experimental study of apparent behavior. American Journal of Psychology, 57, 243-249] and Michotte (1946/1963) [Michotte, A. (1963). The perception of causality (T.R. Miles & E. Miles, Trans.). London: Methuen (Original work published 1946)] who demonstrated the role of object movement in attributions of life-likeness to figures. It goes one step further in studying the categorization of film scenes as to genre as a function of object movements. In an animated film scene portraying a chase, movements of the chasing object were systematically varied as to parameters: velocity, efficiency, fluency, detail, and deformation. The object movements were categorized by viewers into genres: non-fiction, comedy, drama, and action. Besides this categorization, viewers rated their animacy attribution and emotional response. Results showed that non-expert viewers were consistent in categorizing the genres according to object movement parameters. The size of its deviation from the unmanipulated movement scene determined the assignment of any target scene to one of the fiction genres: small and moderate deviations resulted in categorization as drama and action, and large deviations as comedy. The results suggest that genre classification is achieved by, at least, three distinct cognitive processes: (a) animacy attribution, which influences the fiction versus non-fiction classification; (b) emotional responses, which influences the classification of a specific fiction genre; and (c) the amount of deviation from reality, at least with regard to movements.

  13. Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques.

    Science.gov (United States)

    Fors, Octavi; Núñez, Jorge; Otazu, Xavier; Prades, Albert; Cardinal, Robert D

    2010-01-01

    In this paper we show how the techniques of image deconvolution can increase the ability of image sensors as, for example, CCD imagers, to detect faint stars or faint orbital objects (small satellites and space debris). In the case of faint stars, we show that this benefit is equivalent to double the quantum efficiency of the used image sensor or to increase the effective telescope aperture by more than 30% without decreasing the astrometric precision or introducing artificial bias. In the case of orbital objects, the deconvolution technique can double the signal-to-noise ratio of the image, which helps to discover and control dangerous objects as space debris or lost satellites. The benefits obtained using CCD detectors can be extrapolated to any kind of image sensors.

  14. Real-time three-dimensional shape measurement of moving objects without edge errors by time-synchronized structured illumination.

    Science.gov (United States)

    Lau, Daniel L; Liu, Kai; Hassebrook, Laurence G

    2010-07-15

    Structured-light illumination is a process of three-dimensional imaging where a series of time-multiplexed, striped patterns are projected onto a target scene with the corresponding captured images used to determine surface shape according to the warping of the projected patterns around the target. In a real-time system, a high-speed projector/camera pair is used such that any surface motion is small over the projected pattern sequence, but regardless of acquisition speed, there are always those pixels near the edge of a moving surface that capture the projected patterns on both fore- and background surfaces. These edge pixels then create unpredictable results that typically require expensive processing steps to remove, but in this Letter, we introduce a filtering process that identifies motion artifacts based upon the discrete Fourier transform applied to the time axis of the captured pattern sequence. The process is of very low computational complexity, and in this Letter, we demonstrate that in a real-time structured-light illumination (SLI) system, the process comes at a cost of 15 frames per second (fps), where our SLI system drops from 180 to 165 fps after deleting those edge pixels where motion was detected.

  15. An Object Extraction Model Using Association Rules and Dependence Analysis

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Extracting objects from legacy systems is a basic step insystem's obje ct-orientation to improve the maintainability and understandability of the syst e ms. A new object extraction model using association rules an d dependence analysis is proposed. In this model data are classified by associat ion rules and the corresponding operations are partitioned by dependence analysis.

  16. Object Oriented Toolbox for Modelling and Simulation of Dynamic Systems

    DEFF Research Database (Denmark)

    Thomsen, Per Grove; Poulsen, Mikael Zebbelin; Wagner, Falko Jens;

    1999-01-01

    Design and Implementation of a simulation toolbox based on Object Oriented modelling Techniques.Experimental implementation in C++ using the Godess ODE-solution platform.......Design and Implementation of a simulation toolbox based on Object Oriented modelling Techniques.Experimental implementation in C++ using the Godess ODE-solution platform....

  17. Conceptual Modeling of Events as Information Objects and Change Agents

    DEFF Research Database (Denmark)

    Bækgaard, Lars

    as a totality of an information object and a change agent. When an event is modeled as an information object it is comparable to an entity that exists only at a specific point in time. It has attributes and can be used for querying and specification of constraints. When an event is modeled as a change agent...

  18. Pachner moves in a 4d Riemannian holomorphic Spin Foam model

    CERN Document Server

    Banburski, Andrzej; Freidel, Laurent; Hnybida, Jeff

    2014-01-01

    In this work we study a Spin Foam model for 4d Riemannian gravity, and propose a new way of imposing the simplicity constraints that uses the recently developed holomorphic representation. Using the power of the holomorphic integration techniques, and with the introduction of two new tools: the homogeneity map and the loop identity, for the first time we give the analytic expressions for the behaviour of the Spin Foam amplitudes under 4-dimensional Pachner moves. It turns out that this behaviour is controlled by an insertion of nonlocal mixing operators. In the case of the 5-1 move, the expression governing the change of the amplitude can be interpreted as a vertex renormalisation equation. We find a natural truncation scheme that allows us to get an invariance up to an overall factor for the 4-2 and 5-1 moves, but not for the 3-3 move. The study of the divergences shows that there is a range of parameter space for which the 4-2 move is finite while the 5-1 move diverges. This opens up the possibility to reco...

  19. Real-time detection of small and dim moving objects in IR video sequences using a robust background estimator and a noise-adaptive double thresholding

    Science.gov (United States)

    Zingoni, Andrea; Diani, Marco; Corsini, Giovanni

    2016-10-01

    We developed an algorithm for automatically detecting small and poorly contrasted (dim) moving objects in real-time, within video sequences acquired through a steady infrared camera. The algorithm is suitable for different situations since it is independent of the background characteristics and of changes in illumination. Unlike other solutions, small objects of any size (up to single-pixel), either hotter or colder than the background, can be successfully detected. The algorithm is based on accurately estimating the background at the pixel level and then rejecting it. A novel approach permits background estimation to be robust to changes in the scene illumination and to noise, and not to be biased by the transit of moving objects. Care was taken in avoiding computationally costly procedures, in order to ensure the real-time performance even using low-cost hardware. The algorithm was tested on a dataset of 12 video sequences acquired in different conditions, providing promising results in terms of detection rate and false alarm rate, independently of background and objects characteristics. In addition, the detection map was produced frame by frame in real-time, using cheap commercial hardware. The algorithm is particularly suitable for applications in the fields of video-surveillance and computer vision. Its reliability and speed permit it to be used also in critical situations, like in search and rescue, defence and disaster monitoring.

  20. Several Strategies on 3D Modeling of Manmade Objects

    Institute of Scientific and Technical Information of China (English)

    SHAO Zhenfeng; LI Deren; CHENG Qimin

    2004-01-01

    Several different strategies of 3D modeling are adopted for different kinds of manmade objects. Firstly, for those manmade objects with regular structure, if 2D information is available and elevation information can be obtained conveniently, then 3D modeling of them can be executed directly. Secondly, for those manmade objects with complicated structure comparatively and related stereo images pair can be acquired, in the light of topology-based 3D model we finish 3D modeling of them by integrating automatic and semi-automatic object extraction. Thirdly, for the most complicated objects whose geometrical information cannot be got from stereo images pair completely, we turn to topological 3D model based on CAD.

  1. Continuum neural dynamics models for visual object identification

    Science.gov (United States)

    Singh, Vijay; Tchernookov, Martin; Nemenman, Ilya

    2013-03-01

    Visual object identification has remained one of the most challenging problems even after decades of research. Most of the current models of the visual cortex represent neurons as discrete elements in a largely feedforward network arrangement. They are generally very specific in the objects they can identify. We develop a continuum model of recurrent, nonlinear neural dynamics in the primary visual cortex, incorporating connectivity patterns and other experimentally observed features of the cortex. The model has an interesting correspondence to the Landau-DeGennes theory of a nematic liquid crystal in two dimensions. We use collective spatiotemporal excitations of the model cortex as a signal for segmentation of contiguous objects from the background clutter. The model is capable of suppressing clutter in images and filling in occluded elements of object contours, resulting in high-precision, high-recall identification of large objects from cluttered scenes. This research has been partially supported by the ARO grant No. 60704-NS-II.

  2. Protein Nano-Object Integrator (ProNOI for generating atomic style objects for molecular modeling

    Directory of Open Access Journals (Sweden)

    Smith Nicholas

    2012-12-01

    Full Text Available Abstract Background With the progress of nanotechnology, one frequently has to model biological macromolecules simultaneously with nano-objects. However, the atomic structures of the nano objects are typically not available or they are solid state entities. Because of that, the researchers have to investigate such nano systems by generating models of the nano objects in a manner that the existing software be able to carry the simulations. In addition, it should allow generating composite objects with complex shape by combining basic geometrical figures and embedding biological macromolecules within the system. Results Here we report the Protein Nano-Object Integrator (ProNOI which allows for generating atomic-style geometrical objects with user desired shape and dimensions. Unlimited number of objects can be created and combined with biological macromolecules in Protein Data Bank (PDB format file. Once the objects are generated, the users can use sliders to manipulate their shape, dimension and absolute position. In addition, the software offers the option to charge the objects with either specified surface or volumetric charge density and to model them with user-desired dielectric constants. According to the user preference, the biological macromolecule atoms can be assigned charges and radii according to four different force fields: Amber, Charmm, OPLS and PARSE. The biological macromolecules and the atomic-style objects are exported as a position, charge and radius (PQR file, or if a default dielectric constant distribution is not selected, it is exported as a position, charge, radius and epsilon (PQRE file. As illustration of the capabilities of the ProNOI, we created a composite object in a shape of a robot, aptly named the Clemson Robot, whose parts are charged with various volumetric charge densities and holds the barnase-barstar protein complex in its hand. Conclusions The Protein Nano-Object Integrator (ProNOI is a convenient tool for

  3. Protein Nano-Object Integrator (ProNOI) for generating atomic style objects for molecular modeling.

    Science.gov (United States)

    Smith, Nicholas; Campbell, Brandon; Li, Lin; Li, Chuan; Alexov, Emil

    2012-12-05

    With the progress of nanotechnology, one frequently has to model biological macromolecules simultaneously with nano-objects. However, the atomic structures of the nano objects are typically not available or they are solid state entities. Because of that, the researchers have to investigate such nano systems by generating models of the nano objects in a manner that the existing software be able to carry the simulations. In addition, it should allow generating composite objects with complex shape by combining basic geometrical figures and embedding biological macromolecules within the system. Here we report the Protein Nano-Object Integrator (ProNOI) which allows for generating atomic-style geometrical objects with user desired shape and dimensions. Unlimited number of objects can be created and combined with biological macromolecules in Protein Data Bank (PDB) format file. Once the objects are generated, the users can use sliders to manipulate their shape, dimension and absolute position. In addition, the software offers the option to charge the objects with either specified surface or volumetric charge density and to model them with user-desired dielectric constants. According to the user preference, the biological macromolecule atoms can be assigned charges and radii according to four different force fields: Amber, Charmm, OPLS and PARSE. The biological macromolecules and the atomic-style objects are exported as a position, charge and radius (PQR) file, or if a default dielectric constant distribution is not selected, it is exported as a position, charge, radius and epsilon (PQRE) file. As illustration of the capabilities of the ProNOI, we created a composite object in a shape of a robot, aptly named the Clemson Robot, whose parts are charged with various volumetric charge densities and holds the barnase-barstar protein complex in its hand. The Protein Nano-Object Integrator (ProNOI) is a convenient tool for generating atomic-style nano shapes in conjunction with

  4. A Bayesian Alternative for Multi-objective Ecohydrological Model Specification

    Science.gov (United States)

    Tang, Y.; Marshall, L. A.; Sharma, A.; Ajami, H.

    2015-12-01

    Process-based ecohydrological models combine the study of hydrological, physical, biogeochemical and ecological processes of the catchments, which are usually more complex and parametric than conceptual hydrological models. Thus, appropriate calibration objectives and model uncertainty analysis are essential for ecohydrological modeling. In recent years, Bayesian inference has become one of the most popular tools for quantifying the uncertainties in hydrological modeling with the development of Markov Chain Monte Carlo (MCMC) techniques. Our study aims to develop appropriate prior distributions and likelihood functions that minimize the model uncertainties and bias within a Bayesian ecohydrological framework. In our study, a formal Bayesian approach is implemented in an ecohydrological model which combines a hydrological model (HyMOD) and a dynamic vegetation model (DVM). Simulations focused on one objective likelihood (Streamflow/LAI) and multi-objective likelihoods (Streamflow and LAI) with different weights are compared. Uniform, weakly informative and strongly informative prior distributions are used in different simulations. The Kullback-leibler divergence (KLD) is used to measure the dis(similarity) between different priors and corresponding posterior distributions to examine the parameter sensitivity. Results show that different prior distributions can strongly influence posterior distributions for parameters, especially when the available data is limited or parameters are insensitive to the available data. We demonstrate differences in optimized parameters and uncertainty limits in different cases based on multi-objective likelihoods vs. single objective likelihoods. We also demonstrate the importance of appropriately defining the weights of objectives in multi-objective calibration according to different data types.

  5. A Novel Detection Method of Moving Object Based on GLCM%一种基于 GLCM 的运动目标检测新方法

    Institute of Scientific and Technical Information of China (English)

    姬丽娜; 陈庆奎; 赵永涛; 刘伯成; 陈圆金; 高倩

    2015-01-01

    基于GMM(Gaussian Mixture Model ,混合高斯模型)的物体识别基础上,利用GLCM (Gray‐level co‐occurrence matrix ,灰度共生矩阵)及基于GLCM 提取的纹理特征来解决当前运动目标检测所存在的问题,如动态场景的变化,光照突变及天气变化等。GLCM 在局部区域的往复运动具有相对不变性,因此利用这个特点对基于GM M 检测的前景进行再判断以解决动态场景的问题,将检测窗口中当前帧和前两帧的GLCM 特征值进行比较,如果其GLCM 特征值的差值小于给定的阈值,那么可以判断当前区域为背景,反之则为前景。图像的纹理特征具有抗光照突变性,经过分析其中的4个特征值并阈值化最终得到更加纯净的前景和更加准确的检测结果。通过CPU/GPU(Central Process Unit/Graphic Processing Unit)协同并行计算大大加速了运动目标检测过程。实验证明这种新的检测算法在检测精度和处理速度上比其他算法有明显改善。%For current moving object detection algorithms ,therexist three main issues ,inclu‐ding dynamic scene ,sudden illumination changes ,and bad weathers .These problems reduce the performance of video segmentation .The Gaussian Mixture Model algorithm is widely used cur‐rently .T he improved moving object detection algorithm based on GLCM for video surveillance is presented in this paper .The proposed algorithm computes the Gray‐level co‐occurrence matrix (GLCM ) to eliminate the effect of dynamic background by threshold firstly .Secondly ,it extracts the texture which has the property of resisting sudden change in light according to the GLCM .Fi‐nally ,cleaner foreground and more accurate results are obtained .What’s more ,the algorithm runs efficiently through CPU/GPU collaborative computing in parallel .

  6. Ground moving target signal model and power calculation in forward scattering micro radar

    Institute of Scientific and Technical Information of China (English)

    LONG Teng; HU Cheng; MIKHAIL Cherniakov

    2009-01-01

    Forward scattering micro radar is used for situation awareness;its operational range is relatively short because of the battery power and local horizon,the free space propagation model is not appropriate.The ground moving targets,such as humans,cars and tanks,have only comparable size with the transmitted signal wavelength;the point target model and the linear change of observation angle are not applicable.In this paper,the signal model of ground moving target is developed based on the case of forward scattering micro radar,considering the two-ray propagation model and area target model,and nonlinear change of observation angle as well as high order phase error.Furthermore,the analytical form of the received power from moving target has been obtained.Using the simulated forward scattering radar cross section,the received power of theoretical calculation is near to that of measured data.In addition,the simulated signal model of ground moving target is perfectly matched with the experimented data.All these results show the correctness of analytical calculation completely.

  7. Modelling and simulation of a moving interface problem: freeze drying of black tea extract

    Science.gov (United States)

    Aydin, Ebubekir Sıddık; Yucel, Ozgun; Sadikoglu, Hasan

    2017-01-01

    The moving interface separates the material that is subjected to the freeze drying process as dried and frozen. Therefore, the accurate modeling the moving interface reduces the process time and energy consumption by improving the heat and mass transfer predictions during the process. To describe the dynamic behavior of the drying stages of the freeze-drying, a case study of brewed black tea extract in storage trays including moving interface was modeled that the heat and mass transfer equations were solved using orthogonal collocation method based on Jacobian polynomial approximation. Transport parameters and physical properties describing the freeze drying of black tea extract were evaluated by fitting the experimental data using Levenberg-Marquardt algorithm. Experimental results showed good agreement with the theoretical predictions.

  8. Modelling and simulation of a moving interface problem: freeze drying of black tea extract

    Science.gov (United States)

    Aydin, Ebubekir Sıddık; Yucel, Ozgun; Sadikoglu, Hasan

    2017-06-01

    The moving interface separates the material that is subjected to the freeze drying process as dried and frozen. Therefore, the accurate modeling the moving interface reduces the process time and energy consumption by improving the heat and mass transfer predictions during the process. To describe the dynamic behavior of the drying stages of the freeze-drying, a case study of brewed black tea extract in storage trays including moving interface was modeled that the heat and mass transfer equations were solved using orthogonal collocation method based on Jacobian polynomial approximation. Transport parameters and physical properties describing the freeze drying of black tea extract were evaluated by fitting the experimental data using Levenberg-Marquardt algorithm. Experimental results showed good agreement with the theoretical predictions.

  9. An object-oriented modelling framework for the arterial wall.

    Science.gov (United States)

    Balaguera, M I; Briceño, J C; Glazier, J A

    2010-02-01

    An object-oriented modelling framework for the arterial wall is presented. The novelty of the framework is the possibility to generate customizable artery models, taking advantage of imaging technology. In our knowledge, this is the first object-oriented modelling framework for the arterial wall. Existing models do not allow close structural mapping with arterial microstructure as in the object-oriented framework. In the implemented model, passive behaviour of the arterial wall was considered and the tunica adventitia was the objective system. As verification, a model of an arterial segment was generated. In order to simulate its deformation, a matrix structural mechanics simulator was implemented. Two simulations were conducted, one for an axial loading test and other for a pressure-volume test. Each simulation began with a sensitivity analysis in order to determinate the best parameter combination and to compare the results with analogue controls. In both cases, the simulated results closely reproduced qualitatively and quantitatively the analogue control plots.

  10. Moving nonradiating kinks in nonlocal φ4 and φ4-φ6 models.

    Science.gov (United States)

    Alfimov, G L; Medvedeva, E V

    2011-11-01

    We explore the existence of moving nonradiating kinks in nonlocal generalizations of φ(4) and φ(4)-φ(6) models. These models are described by nonlocal nonlinear Klein-Gordon equation, u(tt)-Lu+F(u)=0, where L is a Fourier multiplier operator of a specific form and F(u) includes either just a cubic term (φ(4) case) or cubic and quintic (φ(4)-φ(6) case) terms. The general mechanism responsible for the discretization of kink velocities in the nonlocal model is discussed. We report numerical results obtained for these models. It is shown that, contrary to the traditional φ(4) model, the nonlocal φ(4) model does not admit moving nonradiating kinks but admits solitary waves that do not exist in the local model. At the same time the nonlocal φ(4)-φ(6) model describes moving nonradiating kinks. The set of velocities allowed for these kinks is discrete with the highest possible velocity c(1). This set of velocities is unambiguously determined by the parameters of the model. Numerical simulations show that a kink launched at the velocity c higher than c(1) starts to decelerate, and its velocity settles down to the highest value of the discrete spectrum c(1).

  11. Intelligent wireless forensic model (IWFM) for moving devices between wireless networks

    CSIR Research Space (South Africa)

    Ngobeni, SJ

    2008-09-01

    Full Text Available for prosecution of the wireless perpetrators. The essence of this study is to develop an Intelligent Wireless Forensic Model (IWFM) for acquiring data for forensic purposes in the event that a device has moved from one wireless network to another...

  12. Mathematical Model and the Simulation of Electrical Arc Welding as Moving Source in Protector Gas Welding

    Directory of Open Access Journals (Sweden)

    Lenuta Suciu

    2006-10-01

    Full Text Available The works presents the mathematical model of electrical arc welding, simulation of the electrical arc as a moving source with help programs software Ansys, passing through three stage of simulation: pre- processing, processing (solution and post-processing.

  13. Modelling the electromagnetic performance of moving rail gun launchers using finite elements

    Science.gov (United States)

    Rodger, D.; Leonard, P. J.

    1993-01-01

    A finite element technique for modelling 3D transient eddy currents in 'smooth rotor' conductors moving at constant velocity is described. A method for joining discontinuous A fields at the interface between conductors in sliding electrical contact has been implemented in the MEGA software package for 2 and 3D electromagnetic field analysis.

  14. Modelling of Moving Coil Actuators in Fast Switching Valves Suitable for Digital Hydraulic Machines

    DEFF Research Database (Denmark)

    Nørgård, Christian; Roemer, Daniel Beck; Bech, Michael Møller

    2015-01-01

    The efficiency of digital hydraulic machines is strongly dependent on the valve switching time. Recently, fast switching have been achieved by using a direct electromagnetic moving coil actuator as the force producing element in fast switching hydraulic valves suitable for digital hydraulic...... machines. Mathematical models of the valve switching, targeted for design optimisation of the moving coil actuator, are developed. A detailed analytical model is derived and presented and its accuracy is evaluated against transient electromagnetic finite element simulations. The model includes...... an estimation of the eddy currents generated in the actuator yoke upon current rise, as they may have significant influence on the coil current response. The analytical model facilitates fast simulation of the transient actuator response opposed to the transient electro-magnetic finite element model which...

  15. Dynamic Cell Formation based on Multi-objective Optimization Model

    Directory of Open Access Journals (Sweden)

    Guozhu Jia

    2013-08-01

    Full Text Available In this paper, a multi-objective model is proposed to address the dynamic cellular manufacturing (DCM formation problem. This model considers four conflicting objectives: relocation cost, machine utilization, material handling cost and maintenance cost. The model also considers the situation that some machines could be shared by more than one cell at the same period. A genetic algorithm is applied to get the solution of this mathematical model. Three numerical examples are simulated to evaluate the validity of this model.  

  16. Comparison between numerical models for the simulation of moving contact lines

    OpenAIRE

    LEGENDRE, Dominique; Maglio, Marco

    2015-01-01

    International audience; The aim of this study is to discus different numerically models for the simulation of moving contact lines in the context of a Volume of Fluid–Continuum Surface Force (VoF–CSF) method. We focus on the particular situation of spreading drops. We first present the numerical methods used for the simulation of moving contact line i.e. static contact angle versus dynamic contact angle, no slip condition versus slip condition. A grid and time convergence is performed for the...

  17. A Study of Wind Statistics Through Auto-Regressive and Moving-Average (ARMA) Modeling

    Institute of Scientific and Technical Information of China (English)

    尹彰; 周宗仁

    2001-01-01

    Statistical properties of winds near the Taichung Harbour are investigated. The 26 years′incomplete data of wind speeds, measured on an hourly basis, are used as reference. The possibility of imputation using simulated results of the Auto-Regressive (AR), Moving-Average (MA), and/or Auto-Regressive and Moving-Average (ARMA) models is studied. Predictions of the 25-year extreme wind speeds based upon the augmented data are compared with the original series. Based upon the results, predictions of the 50- and 100-year extreme wind speeds are then made.

  18. Mathematical Basis of Knowledge Discovery and Autonomous Intelligent Architectures. Task #3. New Class of Search Problems for Moving Objects

    Science.gov (United States)

    2005-12-14

    Vol.41, No.2, April, 1940. 20.Koopman B.O. The bases of probability – Bulletin of the American Mathematical Society , 46 (1940). 21.Koopman B.O...correspond to computer models. Corrected 08.08.02 by Ivakin Y.A. and Vasilev V.V. 13. 06.11.02 CP. Multilanguage

  19. Improved parameter estimation for hydrological models using weighted object functions

    NARCIS (Netherlands)

    Stein, A.; Zaadnoordijk, W.J.

    1999-01-01

    This paper discusses the sensitivity of calibration of hydrological model parameters to different objective functions. Several functions are defined with weights depending upon the hydrological background. These are compared with an objective function based upon kriging. Calibration is applied to pi

  20. Top-Down and Bottom-Up Cues Based Moving Object Detection for Varied Background Video Sequences

    Directory of Open Access Journals (Sweden)

    Chirag I. Patel

    2014-01-01

    there is no need for background formulation and updates as it is background independent. Many bottom-up approaches and one combination of bottom-up and top-down approaches are proposed in the present paper. The proposed approaches seem more efficient due to inessential requirement of learning background model and due to being independent of previous video frames. Results indicate that the proposed approach works even against slight movements in the background and in various outdoor conditions.

  1. VFM:Visual Feedback Model for Robust Object Recognition

    Institute of Scientific and Technical Information of China (English)

    王冲; 黄凯奇

    2015-01-01

    Object recognition, which consists of classification and detection, has two important attributes for robustness:1) closeness: detection windows should be as close to object locations as possible, and 2) adaptiveness: object matching should be adaptive to object variations within an object class. It is difficult to satisfy both attributes using traditional methods which consider classification and detection separately; thus recent studies propose to combine them based on confidence contextualization and foreground modeling. However, these combinations neglect feature saliency and object structure, and biological evidence suggests that the feature saliency and object structure can be important in guiding the recognition from low level to high level. In fact, ob ject recognition originates in the mechanism of “what” and “where”pathways in human visual systems. More importantly, these pathways have feedback to each other and exchange useful information, which may improve closeness and adaptiveness. Inspired by the visual feedback, we propose a robust object recognition framework by designing a computational visual feedback model (VFM) between classification and detection. In the “what” feedback, the feature saliency from classification is exploited to rectify detection windows for better closeness;while in the “where” feedback, object parts from detection are used to match object structure for better adaptiveness. Experimental results show that the “what” and “where” feedback is effective to improve closeness and adaptiveness for ob ject recognition, and encouraging improvements are obtained on the challenging PASCAL VOC 2007 dataset.

  2. The Game Object Model and expansive learning: Creation ...

    African Journals Online (AJOL)

    The Game Object Model and expansive learning: Creation, instantiation, ... into the design, integration, evaluation and use of video games in learning and teaching. ... individual understanding of the role of games in education and transformed ...

  3. A contact stress model for multifingered grasps of rough objects

    Science.gov (United States)

    Sinha, Pramath Raj; Abel, Jacob M.

    1990-01-01

    The model developed utilizes a contact-stress analysis of an arbitrarily shaped object in a multifingered grasp. The fingers and the object are all treated as elastic bodies, and the region of contact is modeled as a deformable surface patch. The relationship between the friction and normal forces is nonlocal and nonlinear in nature and departs from the Coulomb approximation. The nature of the constraints arising out of conditions for compatibility and static equilibrium motivated the formulation of the model as a nonlinear constrained minimization problem. The model is able to predict the magnitude of the inwardly directed normal forces and both the magnitude and direction of the tangential (friction) forces at each finger-object interface for grasped objects in static equilibrium.

  4. Finite element methods for a class of continuum models for immiscible flows with moving contact lines

    CERN Document Server

    Reusken, A; Zhang, L

    2015-01-01

    In this paper we present a finite element method (FEM) for two-phase incompressible flows with moving contact lines. We use a sharp interface Navier-Stokes model for the bulk phase fluid dynamics. Surface tension forces, including Marangoni forces and viscous interfacial effects, are modeled. For describing the moving contact we consider a class of continuum models which contains several special cases known from the literature. For the whole model, describing bulk fluid dynamics, surface tension forces and contact line forces, we derive a variational formulation and a corresponding energy estimate. For handling the evolving interface numerically the level-set technique is applied. The discontinuous pressure is accurately approximated by using a stabilized extended finite element space (XFEM). We apply a Nitsche technique to weakly impose the Navier slip conditions on the solid wall. A unified approach for discretization of the (different types of) surface tension forces and contact line forces is introduced. ...

  5. Compact and accurate linear and nonlinear autoregressive moving average model parameter estimation using laguerre functions

    DEFF Research Database (Denmark)

    Chon, K H; Cohen, R J; Holstein-Rathlou, N H

    1997-01-01

    A linear and nonlinear autoregressive moving average (ARMA) identification algorithm is developed for modeling time series data. The algorithm uses Laguerre expansion of kernals (LEK) to estimate Volterra-Wiener kernals. However, instead of estimating linear and nonlinear system dynamics via moving...... average models, as is the case for the Volterra-Wiener analysis, we propose an ARMA model-based approach. The proposed algorithm is essentially the same as LEK, but this algorithm is extended to include past values of the output as well. Thus, all of the advantages associated with using the Laguerre...... function remain with our algorithm; but, by extending the algorithm to the linear and nonlinear ARMA model, a significant reduction in the number of Laguerre functions can be made, compared with the Volterra-Wiener approach. This translates into a more compact system representation and makes...

  6. A Moving Object Detection Method Based on Scene Perception%基于场景感知的运动目标检测方法

    Institute of Scientific and Technical Information of China (English)

    宋涛; 李鸥; 崔弘亮

    2016-01-01

    Background subtraction algorithm is a kind of main moving object detection framework,but it is too diffi-cult to build a model with short establishing period,high reliability and good robustness.From the perspective of scene per-ception,a technique for object detection based on the framework of background subtraction is proposed.To improve the relia-bility of initial model,the potential foreground pixels in background,which are obtained on the basis of stable structural in-formation in the former two frames,are replaced by the nearest neighbor pixels belonging to background,when the initial model is being established in the second frame.Integrating color information with binary feature,a two-stage classification decision mechanism is proposed,meanwhile the local decision threshold and update frequency are adaptively adjusted in ac-cordance with the texture complexity of pixels neighborhood.Subsequently,a feedback mechanism for misclassification is presented in the update model phase.Experimental results using challenging public video sequences show the effectiveness and superiority of the proposed method,compared with other state-of-the-art tracking approaches.%背景减除法是一种主要的运动目标检测框架,但在复杂环境中构建一种初始模型建立周期短、可靠性高、鲁棒性好的模型仍是一大难题。本文从场景感知的角度出发,在背景减除框架的基础上提出一种目标检测方法。该方法根据前两帧中稳定的结构信息感知背景中潜在的前景区域,在第二帧建立初始模型时利用最近邻域背景像素点代替可能的前景像素点,提高了初始模型可靠性;结合颜色信息和二进制特征提出了像素点二级分类判决机制,并通过感知像素点邻域内的纹理复杂度自适应调整局部判决阈值和更新频率;在模型更新阶段提出处理误判的反馈机制。在公开视频序列上同几种流行检测算法的实验对比结果

  7. 基于道路网络的时空索引方法IMon-tree%Spatiotemporal index for moving objects in networks: IMon-tree

    Institute of Scientific and Technical Information of China (English)

    李峰; 罗磊

    2012-01-01

    To overcome the shortcoming of the Mon-tree index, a method called IMon-tree (Improved Mon-tree) index was proposed. It included three layers: the top layer used grids to index roads; the bottom layer was used to index the objects' moving information; the middle, which connected the above two layers, was to complete the mapping from roads to moving information. In order to implement trajectory query, the hash table was used to save the moving information of objects. Trie experimental results show that the IMon-tree index has a better performance than TMN-tree on trajectory query. As to the average response time of the spatiotemporal query algorithm, the IMon-tree is 65 percent of the Mon-tree, and is 81 percent of the TMN-tree. Therefore, the suggested method can be applied to all kinds of geodatabases and geographic information systems.%针对Mon-tree索引的不足提出一种基于道路网络的时空索引方法IMon-tree.索引分三层,项部用四叉树网格来索引道路网络,底部二维R树用来索引物体的运动信息,中部单链表将上述两层连接起来,完成从道路到运动信息的映射.为了支持轨迹查询,用哈希表将物体的运动信息组织起来.对比实验表明IMon-tree轨迹查询比TMN-tree性能更好,时空查询算法平均响应时间是Mon-tree的65%,是TMN-tree的81%.该方法可应用于各种空间数据库以及地理信息系统.

  8. Areal rainfall estimation using moving cars - computer experiments including hydrological modeling

    Science.gov (United States)

    Rabiei, Ehsan; Haberlandt, Uwe; Sester, Monika; Fitzner, Daniel; Wallner, Markus

    2016-09-01

    The need for high temporal and spatial resolution precipitation data for hydrological analyses has been discussed in several studies. Although rain gauges provide valuable information, a very dense rain gauge network is costly. As a result, several new ideas have emerged to help estimating areal rainfall with higher temporal and spatial resolution. Rabiei et al. (2013) observed that moving cars, called RainCars (RCs), can potentially be a new source of data for measuring rain rate. The optical sensors used in that study are designed for operating the windscreen wipers and showed promising results for rainfall measurement purposes. Their measurement accuracy has been quantified in laboratory experiments. Considering explicitly those errors, the main objective of this study is to investigate the benefit of using RCs for estimating areal rainfall. For that, computer experiments are carried out, where radar rainfall is considered as the reference and the other sources of data, i.e., RCs and rain gauges, are extracted from radar data. Comparing the quality of areal rainfall estimation by RCs with rain gauges and reference data helps to investigate the benefit of the RCs. The value of this additional source of data is not only assessed for areal rainfall estimation performance but also for use in hydrological modeling. Considering measurement errors derived from laboratory experiments, the result shows that the RCs provide useful additional information for areal rainfall estimation as well as for hydrological modeling. Moreover, by testing larger uncertainties for RCs, they observed to be useful up to a certain level for areal rainfall estimation and discharge simulation.

  9. Research on the Adaptive Object-Model Architecture Style

    Institute of Scientific and Technical Information of China (English)

    YAO Hai-qiong; NI Gui-qiang

    2004-01-01

    The rapidly changing requirements and business rules stimulate software developers to make their applications more dynamic, configurable, and adaptable. An effective way to meet such requirements is to apply an adaptive object-model (AOM). The AOM architecture style is composed of metamodel, model engine and tools. Firstly, two small patterns for building up metamodel are analyzed in detail. Then model engine for interpreting metamodel and tools for end-uses to define and configure object models are discussed. Finally, a novel platform-applicationware-is proposed.

  10. 基于更新日志的移动对象索引方法%Moving Object Index Method Based on Update Log

    Institute of Scientific and Technical Information of China (English)

    王宝文; 曹亮; 陈子军

    2011-01-01

    This paper realizes a ULTPR-tree for moving objects with frequent updates, which is based on TPR-tree by adding a memory-based Update Log(UL). It uses grouping method to delete the records of moving objects in bulk, which decreases the cost of deletion maintenance of ULTPR-tree. Theoretical analysis and experimental results show that the update performance of ULTPR-tree outperforms TPR-tree and HTPR-tree.%在TPR-tree上增加一个基于内存的更新日志,实现一种支持频繁更新的移动对象索引ULTPR-tree,采用分组更新方法对移动对象记录进行批量删除,从而减少ULTPR-tree索引结构的删除维护代价.理论分析和实验结果表明,ULTPR-tree的动态更新性能优于TPR-tree和HTPR-tree.

  11. A PDP model of the simultaneous perception of multiple objects

    Science.gov (United States)

    Henderson, Cynthia M.; McClelland, James L.

    2011-06-01

    Illusory conjunctions in normal and simultanagnosic subjects are two instances where the visual features of multiple objects are incorrectly 'bound' together. A connectionist model explores how multiple objects could be perceived correctly in normal subjects given sufficient time, but could give rise to illusory conjunctions with damage or time pressure. In this model, perception of two objects benefits from lateral connections between hidden layers modelling aspects of the ventral and dorsal visual pathways. As with simultanagnosia, simulations of dorsal lesions impair multi-object recognition. In contrast, a large ventral lesion has minimal effect on dorsal functioning, akin to dissociations between simple object manipulation (retained in visual form agnosia and semantic dementia) and object discrimination (impaired in these disorders) [Hodges, J.R., Bozeat, S., Lambon Ralph, M.A., Patterson, K., and Spatt, J. (2000), 'The Role of Conceptual Knowledge: Evidence from Semantic Dementia', Brain, 123, 1913-1925; Milner, A.D., and Goodale, M.A. (2006), The Visual Brain in Action (2nd ed.), New York: Oxford]. It is hoped that the functioning of this model might suggest potential processes underlying dorsal and ventral contributions to the correct perception of multiple objects.

  12. Behavioral models as theoretical frames to analyze the business objective

    Directory of Open Access Journals (Sweden)

    Hernán Alonso Bafico

    2015-12-01

    Full Text Available This paper examines Pfeffer’s Models of Behavior and connects each of them with attributes of the definition of the firm’s objective, assumed as the maximization of the sustainable, long term valor of the residual claims.Each of the five models of behavior (rational, social, moral, retrospective and cognitive contributes to the decision making and goal setting processes with its particular and complementary elements. From those assuming complete rationality and frictionless markets, to the models emphasizing the role of ethical positions, and the presence of perceptive and cognitive mechanisms. The analysis highlights the main contributions of critical theories and models of behavior, underlining their focus on non-traditional variables, regarded as critical inputs for goal setting processes and designing alternative executive incentive schemes.  The explicit consideration of those variables does not indicate the need for a new definition of corporate objective. The maximization of the long term value of the shareholders’ claims still defines the relevant objective function of the firm, remaining as the main yardstick of corporate performance.Behavioral models are recognized as important tools to help managers direct their attention to long term strategies. In the last part, we comment on the relationship between the objective function and behavioral models, from the practitioners’ perspective.Key words: Firm Objectives, Behavioral Models, Value Maximization, Stakeholder Theory.

  13. Ferromanganese Furnace Modelling Using Object-Oriented Principles

    Energy Technology Data Exchange (ETDEWEB)

    Wasboe, S.O.

    1996-12-31

    This doctoral thesis defines an object-oriented framework for aiding unit process modelling and applies it to model high-carbon ferromanganese furnaces. A framework is proposed for aiding modelling of the internal topology and the phenomena taking place inside unit processes. Complex unit processes may consist of a number of zones where different phenomena take place. A topology is therefore defined for the unit process itself, which shows the relations between the zones. Inside each zone there is a set of chemical species and phenomena, such as reactions, phase transitions, heat transfer etc. A formalized graphical methodology is developed as a tool for modelling these zones and their interaction. The symbols defined in the graphical framework are associated with objects and classes. The rules for linking the objects are described using OMT (Object Modeling Technique) diagrams and formal language formulations. The basic classes that are defined are implemented using the C++ programming language. The ferromanganese process is a complex unit process. A general description of the process equipment is given, and a detailed discussion of the process itself and a system theoretical overview of it. The object-oriented framework is then used to develop a dynamic model based on mass and energy balances. The model is validated by measurements from an industrial furnace. 101 refs., 119 figs., 20 tabs.

  14. A model-view-controller approach to object persistence

    Energy Technology Data Exchange (ETDEWEB)

    Heinckiens, P.; Tromp, H.; Hoffman, G. [Univ. of Ghent, Gent (Belgium)

    1995-12-31

    The model-view-controller framework (MVC) is discussed to some extent, first within the context of a user interface to a business model. After a new, generic definition of object persistence is presented, it is shown that the concept of persistence, according to that definition, can also be fitted within a model-view-controller scheme. That will lead to a unified MVC concept, which can easily be further generalized to other related issues, such as interprocess communication and other forms of communications with the outside world. SCOOP (Scalable Object Oriented Persistence), a set of C++ classes which support object persistence, is presented. It is shown how it offers a seamless migration path from more traditional to fall blown object-oriented database systems. The position of SCOOP within the MVC architecture is discussed.

  15. AN OBJECT ORIENTED MODEL SCHEDULING FOR MEDIA-SOC

    Institute of Scientific and Technical Information of China (English)

    Cheng Xingmei; Yao Yingbiao; Zhang Yixiong; Liu Peng; Yao Qingdong

    2009-01-01

    This paper proposes an object oriented model scheduling for parallel computing in media MultiProcessors System on Chip (MPSoC). Firstly, the Coarse Grain Data Flow Graph (CGDFG) parallel programming model is used in this approach. Secondly, this approach has the feature of unified abstraction for software objects implementing in processor and hardware objects implementing in ASICs, easy for mapping CGDFG programming on MPSoC. This approach cuts down the kernel overhead and reduces the code size effectively. The principle of the oriented object model, the method of scheduling, and how to map a parallel programming through CGDFG to the MPSoC are analyzed in this approach. This approach also compares the code size and execution cycles with conventional control flow scheduling, and presents respective management overhead for one application in media-SoC.

  16. An Intelligent Architecture Based on Field Programmable Gate Arrays Designed to Detect Moving Objects by Using Principal Component Analysis

    Directory of Open Access Journals (Sweden)

    Ignacio Bravo

    2010-10-01

    Full Text Available This paper presents a complete implementation of the Principal Component Analysis (PCA algorithm in Field Programmable Gate Array (FPGA devices applied to high rate background segmentation of images. The classical sequential execution of different parts of the PCA algorithm has been parallelized. This parallelization has led to the specific development and implementation in hardware of the different stages of PCA, such as computation of the correlation matrix, matrix diagonalization using the Jacobi method and subspace projections of images. On the application side, the paper presents a motion detection algorithm, also entirely implemented on the FPGA, and based on the developed PCA core. This consists of dynamically thresholding the differences between the input image and the one obtained by expressing the input image using the PCA linear subspace previously obtained as a background model. The proposal achieves a high ratio of processed images (up to 120 frames per second and high quality segmentation results, with a completely embedded and reliable hardware architecture based on commercial CMOS sensors and FPGA devices.

  17. Probing turbulence intermittency via Auto-Regressive Moving-Average models

    CERN Document Server

    Faranda, Davide; Dubrulle, Berengere; Daviaud, Francois

    2014-01-01

    We suggest a new approach to probing intermittency corrections to the Kolmogorov law in turbulent flows based on the Auto-Regressive Moving-Average modeling of turbulent time series. We introduce a new index $\\Upsilon$ that measures the distance from a Kolmogorov-Obukhov model in the Auto-Regressive Moving-Average models space. Applying our analysis to Particle Image Velocimetry and Laser Doppler Velocimetry measurements in a von K\\'arm\\'an swirling flow, we show that $\\Upsilon$ is proportional to the traditional intermittency correction computed from the structure function. Therefore it provides the same information, using much shorter time series. We conclude that $\\Upsilon$ is a suitable index to reconstruct the spatial intermittency of the dissipation in both numerical and experimental turbulent fields.

  18. Modeling the Visual and Linguistic Importance of Objects

    Directory of Open Access Journals (Sweden)

    Moreno Ignazio Coco

    2012-05-01

    Full Text Available Previous work measuring the visual importance of objects has shown that only spatial information, such as object position and size, is predictive of importance, whilst low-level visual information, such as saliency, is not (Spain and Perona 2010, IJCV 91, 59–76. Objects are not important solely on the basis of their appearance. Rather, they are important because of their contextual information (eg, a pen in an office versus in a bathroom, which is needed in tasks requiring cognitive control (eg, visual search; Henderson 2007, PsySci 16 219–222. Given that most visual objects have a linguistic counterpart, their importance depends also on linguistic information, especially in tasks where language is actively involved—eg, naming. In an eye-tracking naming study, where participants are asked to name 5 objects in a scene, we investigated how visual saliency, contextual features, and linguistic information of the mentioned objects predicted their importance. We measured object importance based on the urn model of Spain and Perona (2010 and estimated the predictive role of visual and linguistic features using different regression frameworks: LARS (Efron et al 2004, Annals of Statistics 32 407–499 and LME (Baayen et al 2008, JML 59, 390–412. Our results confirmed the role of spatial information in predicting object importance, and in addition, we found effects of saliency. Crucially to our hypothesis, we demonstrated that the lexical frequency of objects and their contextual fit in the scene significantly contributed to object importance.

  19. 基于CTBN的移动对象不确定轨迹预测算法%Uncertain Trajectory Prediction of Moving Objects Based on CTBN

    Institute of Scientific and Technical Information of China (English)

    乔少杰; 彭京; 李天瑞; 朱焱; 刘良旭

    2012-01-01

    In order to predict the uncertain trajectories in an efficient and accurate fashion, this paper introduces an uncertain trajectory prediction algorithm based on trajectory continuous time Bayesian networks (CTBN). It contains three essential phases: mining hotspot regions by partitioning trajectories into distinct hotspot clusters; constructing trajectory CTBN which is a states combination of three important variables including street identifier, moving speed, and moving direction; predicting the motion behavior of moving objects in order to obtain possible trajectories. Experimental results demonstrate that the proposed method can accurately predict the possible motion curves of moving objects in different trajectory data sets when compared with the naive prediction algorithm. In addition, experiments verify the essential role of hotspot region mining, which can help save prediction time at about 60% with a guarantee of high prediction accuracy.%为了高效准确地预测移动对象动态运动轨迹,提出了一种基于轨迹时间连续贝叶斯网-(CTBN)的不确定性轨迹预测算法,充分考虑了移动速度和方向对移动对象动态运动行为的影响,包含3个主要步骤:热点区域挖掘将轨迹数据集划分为不同的热点聚簇;轨迹时间连续贝叶斯网络的构建,其由3个变量(街区号、移动速度、移动方向)构成的状态组合;利用该网络预测移动对象动态运动行为计算可能运动轨迹.不同数据集上的实验结果表明该算法的预测精度优于朴素预测算法,并证明了热点区域挖掘的作用在于能够在保证较高预测准确性的前提下提高预测时间性能近60%.

  20. Driving-forces model on individual behavior in scenarios considering moving threat agents

    Science.gov (United States)

    Li, Shuying; Zhuang, Jun; Shen, Shifei; Wang, Jia

    2017-09-01

    The individual behavior model is a contributory factor to improve the accuracy of agent-based simulation in different scenarios. However, few studies have considered moving threat agents, which often occur in terrorist attacks caused by attackers with close-range weapons (e.g., sword, stick). At the same time, many existing behavior models lack validation from cases or experiments. This paper builds a new individual behavior model based on seven behavioral hypotheses. The driving-forces model is an extension of the classical social force model considering scenarios including moving threat agents. An experiment was conducted to validate the key components of the model. Then the model is compared with an advanced Elliptical Specification II social force model, by calculating the fitting errors between the simulated and experimental trajectories, and being applied to simulate a specific circumstance. Our results show that the driving-forces model reduced the fitting error by an average of 33.9% and the standard deviation by an average of 44.5%, which indicates the accuracy and stability of the model in the studied situation. The new driving-forces model could be used to simulate individual behavior when analyzing the risk of specific scenarios using agent-based simulation methods, such as risk analysis of close-range terrorist attacks in public places.

  1. Archive Design Based on Planets Inspired Logical Object Model

    DEFF Research Database (Denmark)

    Zierau, Eld; Johansen, Anders

    2008-01-01

    We describe a proposal for a logical data model based on preliminary work the Planets project In OAIS terms the main areas discussed are related to the introduction of a logical data model for representing the past, present and future versions of the digital object associated with the Archival...

  2. Archive Design Based on Planets Inspired Logical Object Model

    DEFF Research Database (Denmark)

    Zierau, Eld; Johansen, Anders

    2008-01-01

    We describe a proposal for a logical data model based on preliminary work the Planets project In OAIS terms the main areas discussed are related to the introduction of a logical data model for representing the past, present and future versions of the digital object associated with the Archival St...

  3. Null Objects in Second Language Acquisition: Grammatical vs. Performance Models

    Science.gov (United States)

    Zyzik, Eve C.

    2008-01-01

    Null direct objects provide a favourable testing ground for grammatical and performance models of argument omission. This article examines both types of models in order to determine which gives a more plausible account of the second language data. The data were collected from second language (L2) learners of Spanish by means of four oral…

  4. A methodology to calibrate pedestrian walker models using multiple objectives

    NARCIS (Netherlands)

    Campanella, M.C.; Daamen, W.; Hoogendoorn, S.P.

    2012-01-01

    The application of walker models to simulate real situations require accuracy in several traffic situations. One strategy to obtain a generic model is to calibrate the parameters in several situations using multiple-objective functions in the optimization process. In this paper, we propose a general

  5. Compact objects from gravitational collapse: an analytical toy model

    Energy Technology Data Exchange (ETDEWEB)

    Malafarina, Daniele [Nazarbayev University, Department of Physics, Astana (Kazakhstan); Joshi, Pankaj S. [Tata Institute of Fundamental Research, Mumbai (India)

    2015-12-15

    We develop here a procedure to obtain regular static configurations resulting from dynamical gravitational collapse of a massive matter cloud in general relativity. Under certain general physical assumptions for the collapsing cloud, we find the class of dynamical models that lead to an equilibrium configuration. To illustrate this, we provide a class of perfect fluid collapse models that lead to a static constant density object as limit. We suggest that similar models might possibly constitute the basis for the description of formation of compact objects in nature. (orig.)

  6. Constructing Multidatabase Collections Using Extended ODMG Object Model

    Directory of Open Access Journals (Sweden)

    Adrian Skehill Mark Roantree

    1999-11-01

    Full Text Available Collections are an important feature in database systems. They provide us with the ability to group objects of interest together, and then to manipulate them in the required fashion. The OASIS project is focused on the construction a multidatabase prototype which uses the ODMG model and a canonical model. As part of this work we have extended the base model to provide a more powerful collection mechanism, and to permit the construction of a federated collection, a collection of heterogenous objects taken from distributed data sources

  7. The Aalborg Model and management by objectives and resources

    DEFF Research Database (Denmark)

    Qvist, Palle; Spliid, Claus Monrad

    2010-01-01

    Model is successful has never been subject to a scientific study. An educational program in an HEI (Higher Education Institution) can be seen and understood as a system managed by objectives (MBO)5 within a given resource frame and based on an “agreement” between the student and the study board....... The student must achieve the objectives decided by the study board and that achievement is then documented with an exam. The study board supports the student with resources which helps them to fulfill the objectives. When the resources are divided into human, material and methodological resources...... it is observed that the allocation of resources to the students in the Aalborg Model differs to the allocation in a more conventional model often used in HEIs. Students in the Aalborg Model are supported with resources which makes a difference. This article focuses on the introduction of project management...

  8. Scale Problems in Geometric-Kinematic Modelling of Geological Objects

    Science.gov (United States)

    Siehl, Agemar; Thomsen, Andreas

    To reveal, to render and to handle complex geological objects and their history of structural development, appropriate geometric models have to be designed. Geological maps, sections, sketches of strain and stress patterns are such well-known analogous two-dimensional models. Normally, the set of observations and measurements supporting them is small in relation to the complexity of the real objects they derive from. Therefore, modelling needs guidance by additional expert knowledge to bridge empty spaces which are not supported by data. Generating digital models of geological objects has some substantial advantages compared to conventional methods, especially if they are supported by an efficient database management system. Consistent 3D models of some complexity can be created, and experiments with time-dependent geological geometries may help to restore coherent sequences of paleogeological states. In order to cope with the problems arising from the combined usage of 3D-geometry models of different scale and resolution within an information system on subsurface geology, geometrical objects need to be annotated with information on the context, within which the geometry model has been established and within which it is valid, and methods supporting storage and retrieval as well as manipulation of geometry at different scales must also take into account and handle such context information to achieve meaningful results. An example is given of a detailed structural study of an open pit lignite mine in the Lower Rhine Basin.

  9. An All-Time-Domain Moving Object Data Model, Location Updating Strategy, and Position Estimation

    National Research Council Canada - National Science Library

    Wu, Qunyong; Huang, Junyi; Luo, Jianping; Yang, Jianjun

    2015-01-01

    .... Secondly, we proposed a new dynamic threshold location updating strategy. The location updating threshold was given dynamically in accordance with the velocity, accuracy, and azimuth positioning information from the GPS...

  10. Modeling the Physics of Sliding Objects on Rotating Space Elevators and Other Non-relativistic Strings

    Science.gov (United States)

    Golubovic, Leonardo; Knudsen, Steven

    2017-01-01

    We consider general problem of modeling the dynamics of objects sliding on moving strings. We introduce a powerful computational algorithm that can be used to investigate the dynamics of objects sliding along non-relativistic strings. We use the algorithm to numerically explore fundamental physics of sliding climbers on a unique class of dynamical systems, Rotating Space Elevators (RSE). Objects sliding along RSE strings do not require internal engines or propulsion to be transported from the Earth's surface into outer space. By extensive numerical simulations, we find that sliding climbers may display interesting non-linear dynamics exhibiting both quasi-periodic and chaotic states of motion. While our main interest in this study is in the climber dynamics on RSEs, our results for the dynamics of sliding object are of more general interest. In particular, we designed tools capable of dealing with strongly nonlinear phenomena involving moving strings of any kind, such as the chaotic dynamics of sliding climbers observed in our simulations.

  11. Space Object Tracking Method Based on a Snake Model

    Science.gov (United States)

    Zhan-wei, Xu; Xin, Wang

    2016-04-01

    In this paper, aiming at the problem of unstable tracking of low-orbit variable and bright space objects, adopting an active contour model, a kind of improved GVF (Gradient Vector Flow) - Snake algorithm is proposed to realize the real-time search of the real object contour on the CCD image. Combined with the Kalman filter for prediction, a new adaptive tracking method is proposed for space objects. Experiments show that this method can overcome the tracking error caused by the fixed window, and improve the tracking robustness.

  12. Moving from objects to possibilities

    DEFF Research Database (Denmark)

    Donovan, Jared; Gunn, Wendy

    2012-01-01

    and controls that determine indoor climate. A central issue in relating perceptions and experiences of indoor climate to wider structures and systems is finding ways of supporting company, university partners and users to imagine possibilities instead of certainties in terms of innovation potential. Whereas......Abstract We present and reflect upon the role that ‘provotypes’ played in a design research project aimed at understanding differing perceptions of indoor climate environments. Research issues focus on the potential of participatory innovation within a wider system of building components...... with the improvisatory capacity of people involved in the course of their everyday activities as a resource of possibilities. Our aim thus is to explore how differing perceptions of environment, play with and against each other during collaborative practices of designing indoor climate systems and products...

  13. The width of Liesegang bands: A study using moving boundary model and simulation

    Indian Academy of Sciences (India)

    Shibi Thomas; George Varghese; István Lagzi

    2012-01-01

    The pattern formation in reaction–diffusion systems was studied by invoking the provisions contained in the moving boundary model. The model claims that the phase separation mechanism is responsible for separating the colloidal phase of precipitants into band and non-band regions. The relation between the band separation and its width are invariably related to the concentration of the reacting components. It was observed that this model provides critical condition for the band formation in semi-idealized diffusion systems. An algorithm for generating the band structure was designed, and the simulated pattern shows a close resemblance with the experimentally observed ones.

  14. Three-Dimensional Heat Transfer Modeling of a Moving Plate in Forming Process Applications

    Science.gov (United States)

    Lavella, Mario; Maizza, Giovanni; Borgna, Massimo; Firrao, Donato

    2004-06-01

    A three-dimensional heat transfer model of glass plates heating and cooling has been developed to study their thermal tempering. The furnace being modeled is of a tunnel type, in which the glass plate alternates translational motions with back and forth mouvements with a specified law. An appropriate implementation of a moving (transient) convection/radiation boundary condition has been proposed to describe the heat transfer exchanged between the glass surfaces and the furnace environment. The model results have been experimentally validated by a scanning pyrometer which detects the pointwise temperature of the upper surface of the plate at the exit of the furnace.

  15. Single-Shot Magnetic Resonance Imaging of a Moving Object Based on the High-Speed Spiral-Scan Echo Planner Technique at 4.7 T

    Institute of Scientific and Technical Information of China (English)

    卢广; 刘买利; 李丽云; 叶朝辉

    2002-01-01

    The single-shot spiral magnetic resonance imaging (MRI) technique was implemented and optimized on a Bruker Biospec47/30 scanner. The technique includes the pulse sequence for generation and detection of the k-space MRI signal (free induction decay (FID)), and PC-based programs for the data grid and image reconstruction.The temporal resolution is 70ms (14 images per second), which consists of a data acquisition time as short as 13.7 ms, a spin-echo time of 13.6 ms and a magnetization recovery time of 43 ms. This makes it possible to take real-time images of moving objects. The technique is demonstrated using a pendulum (tube) filled with water.

  16. Study and Application of Objective Evaluation Model on Fabric Style

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Based on 31 fabric property parameters tested by FAST test system and other test instruments, the principal factors of fabric style are obtained through the principal factor analysis method and computer program. According to the correlation between each parameter and principal factor,the selected positive or negative coefficient, the objective evaluation model of fabric style bas been established based on the percentage of variance. And wool fabrics have been taken for example to show how to use the objective evaluation model for fabric design.

  17. A Selective Moving Window Partial Least Squares Method and Its Application in Process Modeling

    Institute of Scientific and Technical Information of China (English)

    Ouguan Xu; Yongfeng Fu; Hongye Su; Lijuan Li

    2014-01-01

    A selective moving window partial least squares (SMW-PLS) soft sensor was proposed in this paper and applied to a hydro-isomerization process for on-line estimation of para-xylene (PX) content. Aiming at the high frequen-cy of model updating in previous recursive PLS methods, a selective updating strategy was developed. The model adaptation is activated once the prediction error is larger than a preset threshold, or the model is kept unchanged. As a result, the frequency of model updating is reduced greatly, while the change of prediction accuracy is minor. The performance of the proposed model is better as compared with that of other PLS-based model. The compro-mise between prediction accuracy and real-time performance can be obtained by regulating the threshold. The guidelines to determine the model parameters are illustrated. In summary, the proposed SMW-PLS method can deal with the slow time-varying processes effectively.

  18. A Real-Time Method to Detect and Track Moving Objects (DATMO from Unmanned Aerial Vehicles (UAVs Using a Single Camera

    Directory of Open Access Journals (Sweden)

    Bruce MacDonald

    2012-04-01

    Full Text Available We develop a real-time method to detect and track moving objects (DATMO from unmanned aerial vehicles (UAVs using a single camera. To address the challenging characteristics of these vehicles, such as continuous unrestricted pose variation and low-frequency vibrations, new approaches must be developed. The main concept proposed in this work is to create an artificial optical flow field by estimating the camera motion between two subsequent video frames. The core of the methodology consists of comparing this artificial flow with the real optical flow directly calculated from the video feed. The motion of the UAV between frames is estimated with available parallel tracking and mapping techniques that identify good static features in the images and follow them between frames. By comparing the two optical flows, a list of dynamic pixels is obtained and then grouped into dynamic objects. Tracking these dynamic objects through time and space provides a filtering procedure to eliminate spurious events and misdetections. The algorithms have been tested with a quadrotor platform using a commercial camera.

  19. Object-oriented model of railway stations operation

    Directory of Open Access Journals (Sweden)

    D.M. Kozachenko

    2013-08-01

    Full Text Available Purpose. The purpose of this article is improvement of the railway stations functional model; it leads to time expenditure cut for formalization technological processes of their work through the use of standard elements of technology. Methodology. Some technological operations, executives and technology objects are considered as main elements of the railway station functioning. Queuing techniques were used as the methods of research, simulation, finite state machines and object-oriented analysis. Findings. Formal data structures were developed as the result of research that can allow simulating the operation of the railway station with any degree of detail. In accordance with the principles of object-oriented approach in the developed model, separate elements of station technology are presented jointly with a description of their behavior. The proposed model is implemented as a software package. Originality. Functional model of railway stations was improved through the application of object-oriented approach to data management. It allow to create libraries of elementary technological processes and reduce time expenditure for formalization the technology of stations work. Practical value. Using of software package that it was developed on the base of proposed model will reduce time expenditure of technologists in order to obtain technical and operational assessment of projected and existing rail stations.

  20. Object-Oriented Approach to Modeling Units of Pneumatic Systems

    Directory of Open Access Journals (Sweden)

    Yu. V. Kyurdzhiev

    2014-01-01

    Full Text Available The article shows the relevance of the approaches to the object-oriented programming when modeling the pneumatic units (PU.Based on the analysis of the calculation schemes of aggregates pneumatic systems two basic objects, namely a cavity flow and a material point were highlighted.Basic interactions of objects are defined. Cavity-cavity interaction: ex-change of matter and energy with the flows of mass. Cavity-point interaction: force interaction, exchange of energy in the form of operation. Point-point in-teraction: force interaction, elastic interaction, inelastic interaction, and inter-vals of displacement.The authors have developed mathematical models of basic objects and interactions. Models and interaction of elements are implemented in the object-oriented programming.Mathematical models of elements of PU design scheme are implemented in derived from the base class. These classes implement the models of flow cavity, piston, diaphragm, short channel, diaphragm to be open by a given law, spring, bellows, elastic collision, inelastic collision, friction, PU stages with a limited movement, etc.A numerical integration of differential equations for the mathematical models of PU design scheme elements is based on the Runge-Kutta method of the fourth order. On request each class performs a tact of integration i.e. calcu-lation of the coefficient method.The paper presents an integration algorithm of the system of differential equations. All objects of the PU design scheme are placed in a unidirectional class list. Iterator loop cycle initiates the integration tact of all the objects in the list. One in four iteration makes a transition to the next step of integration. Calculation process stops when any object shows a shutdowns flag.The proposed approach was tested in the calculation of a number of PU designs. With regard to traditional approaches to modeling, the authors-proposed method features in easy enhancement, code reuse, high reliability

  1. Modeling and Multi-objective Optimization of Refinery Hydrogen Network

    Institute of Scientific and Technical Information of China (English)

    焦云强; 苏宏业; 廖祖维; 侯卫锋

    2011-01-01

    The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on single-objective optimization problem for the hydrogen network, but few account for the multi-objective optimization problem. This paper presents a novel approach for modeling and multi-objective optimization for hydrogen network in refineries. An improved multi-objective optimization model is proposed based on the concept of superstructure. The optimization includes minimization of operating cost and minimization of investment cost of equipment. The proposed methodology for the multi-objective optimization of hydrogen network takes into account flow rate constraints, pressure constraints, purity constraints, impurity constraints, payback period, etc. The method considers all the feasible connections and subjects this to mixed-integer nonlinear programming (MINLP). A deterministic optimization method is applied to solve this multi-objective optimization problem. Finally, a real case study is intro-duced to illustrate the applicability of the approach.

  2. Adaptive mixture observation models for multiple object tracking

    Institute of Scientific and Technical Information of China (English)

    CUI Peng; SUN LiFeng; YANG ShiQiang

    2009-01-01

    Multiple object tracking (MOT) poses many difficulties to conventional well-studied single object track-ing (SOT) algorithms, such as severe expansion of configuration space, high complexity of motion con-ditions, and visual ambiguities among nearby targets, among which the visual ambiguity problem is the central challenge. In this paper, we address this problem by embedding adaptive mixture observation models (AMOM) into a mixture tracker which is implemented in Particle Filter framework. In AMOM, the extracted multiple features for appearance description are combined according to their discriminative power between ambiguity prone objects, where the discriminability of features are evaluated by online entropy-based feature selection techniques. The induction of AMOM can help to surmount the Incapa-bility of conventional mixture tracker in handling object occlusions, and meanwhile retain its merits of flexibility and high efficiency. The final experiments show significant improvement in MOT scenarios compared with other methods.

  3. C++, objected-oriented programming, and astronomical data models

    Science.gov (United States)

    Farris, A.

    1992-01-01

    Contemporary astronomy is characterized by increasingly complex instruments and observational techniques, higher data collection rates, and large data archives, placing severe stress on software analysis systems. The object-oriented paradigm represents a significant new approach to software design and implementation that holds great promise for dealing with this increased complexity. The basic concepts of this approach will be characterized in contrast to more traditional procedure-oriented approaches. The fundamental features of objected-oriented programming will be discussed from a C++ programming language perspective, using examples familiar to astronomers. This discussion will focus on objects, classes and their relevance to the data type system; the principle of information hiding; and the use of inheritance to implement generalization/specialization relationships. Drawing on the object-oriented approach, features of a new database model to support astronomical data analysis will be presented.

  4. Simulation of Moving Loads in Elastic Multibody Systems With Parametric Model Reduction Techniques

    Directory of Open Access Journals (Sweden)

    Fischer Michael

    2014-08-01

    Full Text Available In elastic multibody systems, one considers large nonlinear rigid body motion and small elastic deformations. In a rising number of applications, e.g. automotive engineering, turning and milling processes, the position of acting forces on the elastic body varies. The necessary model order reduction to enable efficient simulations requires the determination of ansatz functions, which depend on the moving force position. For a large number of possible interaction points, the size of the reduced system would increase drastically in the classical Component Mode Synthesis framework. If many nodes are potentially loaded, or the contact area is not known a-priori and only a small number of nodes is loaded simultaneously, the system is described in this contribution with the parameter-dependent force position. This enables the application of parametric model order reduction methods. Here, two techniques based on matrix interpolation are described which transform individually reduced systems and allow the interpolation of the reduced system matrices to determine reduced systems for any force position. The online-offline decomposition and description of the force distribution onto the reduced elastic body are presented in this contribution. The proposed framework enables the simulation of elastic multibody systems with moving loads efficiently because it solely depends on the size of the reduced system. Results in frequency and time domain for the simulation of a thin-walled cylinder with a moving load illustrate the applicability of the proposed method.

  5. Objective Bayesian Comparison of Constrained Analysis of Variance Models.

    Science.gov (United States)

    Consonni, Guido; Paroli, Roberta

    2016-10-04

    In the social sciences we are often interested in comparing models specified by parametric equality or inequality constraints. For instance, when examining three group means [Formula: see text] through an analysis of variance (ANOVA), a model may specify that [Formula: see text], while another one may state that [Formula: see text], and finally a third model may instead suggest that all means are unrestricted. This is a challenging problem, because it involves a combination of nonnested models, as well as nested models having the same dimension. We adopt an objective Bayesian approach, requiring no prior specification from the user, and derive the posterior probability of each model under consideration. Our method is based on the intrinsic prior methodology, suitably modified to accommodate equality and inequality constraints. Focussing on normal ANOVA models, a comparative assessment is carried out through simulation studies. We also present an application to real data collected in a psychological experiment.

  6. Reconstructing Wireframe Model of Curvilinear Objects from Three Orthographic Views

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    An approach for reconstructing wireframe models of curvilinear objects from three orthographic views is discussed in this paper. The method for generating 3D conic edges from 2D projection conic curves is emphasized especially, which is the pivotal work for reconstructing curvilinear objects from three orthographic views. In order to generate 3D conic edges, a five-point method is firstly utilized to obtain the algebraic representations of all 2D-projection curves in each view, and then all algebraic forms are converted to the corresponding geometric forms analytically. Thus the locus of a 3D conic edge can be derived from the geometric forms of the relevant conic curves in three views. Finally, the wireframe model is created after eliminating all redundant elements generated in previous reconstruction process. The approach extends the range of objects to be reconstructed and imposes no restriction on the axis of the quadric surface.

  7. The Aalborg Model and management by objectives and resources

    DEFF Research Database (Denmark)

    Qvist, Palle; Spliid, Claus Monrad

    2010-01-01

    The Aalborg Model has proven to be a successful learning method on at least 3 accounts: high completion rates2, the providing of graduates that are highly valued in the labour market3 and its suitability for young people from homes without an academic background4. But the reason why the Aalborg...... Model is successful has never been subject to a scientific study. An educational program in an HEI (Higher Education Institution) can be seen and understood as a system managed by objectives (MBO)5 within a given resource frame and based on an “agreement” between the student and the study board....... The student must achieve the objectives decided by the study board and that achievement is then documented with an exam. The study board supports the student with resources which helps them to fulfill the objectives. When the resources are divided into human, material and methodological resources...

  8. Modeling of Two-Phase Immiscible Flow with Moving Contact Lines

    Science.gov (United States)

    Abu Alsaud, Moataz; Soulaine, Cyprien; Riaz, Amir; Tchelepi, Hamdi; Stanford University Collaboration; University of Maryland, College Park Collaboration

    2015-11-01

    A new numerical method based on the implicit interface approach on Cartesian grids is proposed for modeling two-phase immiscible flow with moving contact lines. The reinitialization of level-set function by computing the minimum distance to linearly reconstructed interface to obtain signed distance function is extended to include the contact angle boundary condition. The physics of contact line dynamics is implemented using the Cox-Voinov hydrodynamic theory that efficiently captures the effect of the microscopic contact line region. The numerical method is validated through various examples. Parasitic currents are studied in the case of static and constantly advected parabolic interface intersecting the domain boundary with an imposed contact angle. Moving contact line in the viscous dominated regime is studied and verified through comparison with experiments.

  9. Finite-element (FE modelling of bridge dynamics from exposure to moving load

    Directory of Open Access Journals (Sweden)

    G.M. Kadisov

    2013-12-01

    Full Text Available Solutions to the problem of cable-stayed bridge dynamics are received and analysed on the basis of two modelling options. According to the first one space-time finite-elements are used. The first three bridge vibration modes are shown to study cable-stayed bridge fluctuations when exposed to the vertical force moving at a constant speed and compile charts of time history strains in fixed sections of a deck. According to the second option a suspended superstructure is represented by a fold with absolutely rigid transverse membranes in joints of cables, a bridge tower is represented by a beam. Natural modes of the bridge are received by a solution of homogeneous system equations of the mixed method. Nodal lines of a fold for the first four natural modes are shown. The comparative description of applicability of the above-mentioned methods of solving problems of dynamics affected by moving load is given.

  10. On-line Fault Diagnosis in Industrial Processes Using Variable Moving Window and Hidden Markov Model

    Institute of Scientific and Technical Information of China (English)

    周韶园; 谢磊; 王树青

    2005-01-01

    An integrated framework is presented to represent and classify process data for on-line identifying abnormal operating conditions. It is based on pattern recognition principles and consists of a feature extraction step, by which wavelet transform and principal component analysis are used to capture the inherent characteristics from process measurements, followed by a similarity assessment step using hidden Markov model (HMM) for pattern comparison. In most previous cases, a fixed-length moving window was employed to track dynamic data, and often failed to capture enough information for each fault and sometimes even deteriorated the diagnostic performance. A variable moving window, the length of which is modified with time, is introduced in this paper and case studies on the Tennessee Eastman process illustrate the potential of the proposed method.

  11. A process-oriented data model for fuzzy spatial objects

    NARCIS (Netherlands)

    Cheng, T.

    1999-01-01

    The complexity of the natural environment, its polythetic and dynamic character, requires appropriate new methods to represent it in GISs, if only because in the past there has been a tendency to force reality into sharp and static objects. A more generalized spatio-temporal data model is required t

  12. THEORETICAL MODEL OF VIBRATING OBJECT TRANSMITTING NOISE TOWARDS EXTERNAL SOUND

    Institute of Scientific and Technical Information of China (English)

    姚志远

    2002-01-01

    On the basic theory of modal method, the coupling relation between the vibration of objects and external sound was analyzed, the theoretical model solving the vibration and noise was provided, the corresponding calculation formula was given. The calculating results show out that this calculation formula is correct.

  13. Object Oriented Toolbox for Modelling and Simulation of Dynamical Systems

    DEFF Research Database (Denmark)

    Poulsen, Mikael Zebbelin; Wagner, Falko Jens; Thomsen, Per Grove

    1998-01-01

    This paper presents the results of an ongoing project, dealing with design and implementation of a simulation toolbox based on object oriented modelling techniques. The paper describes an experimental implementation of parts of such a toolbox in C++, and discusses the experiences drawn from...

  14. A self-organizing power system stabilizer using Fuzzy Auto-Regressive Moving Average (FARMA) model

    Energy Technology Data Exchange (ETDEWEB)

    Park, Y.M.; Moon, U.C. [Seoul National Univ. (Korea, Republic of). Electrical Engineering Dept.; Lee, K.Y. [Pennsylvania State Univ., University Park, PA (United States). Electrical Engineering Dept.

    1996-06-01

    This paper presents a self-organizing power system stabilizer (SOPSS) which use the Fuzzy Auto-Regressive Moving Average (FARMA) model. The control rules and the membership functions of the proposed logic controller are generated automatically without using any plant model. The generated rules are stored in the fuzzy rule space and updated on-line by a self-organizing procedure. To show the effectiveness of the proposed controller, comparison with a conventional controller for one-machine infinite-bus system is presented.

  15. On the moving contact line singularity: Asymptotics of a diffuse-interface model

    CERN Document Server

    Sibley, David N; Savva, Nikos; Kalliadasis, Serafim

    2013-01-01

    The behaviour of a solid-liquid-gas system near the three-phase contact line is considered using a diffuse-interface model with no-slip at the solid and where the fluid phase is specified by a continuous density field. Relaxation of the classical approach of a sharp liquid-gas interface and careful examination of the asymptotic behaviour as the contact line is approached is shown to resolve the stress and pressure singularities associated with the moving contact line problem. Various features of the model are scrutinised, alongside extensions to incorporate slip, finite-time relaxation of the chemical potential, or a precursor film at the wall.

  16. Modeling integrated fixed-film activated sludge and moving-bed biofilm reactor systems II: evaluation.

    Science.gov (United States)

    Boltz, Joshua P; Johnson, Bruce R; Daigger, Glen T; Sandino, Julian; Elenter, Deborah

    2009-06-01

    A steady-state model presented by Boltz, Johnson, Daigger, and Sandino (2009) describing integrated fixed-film activated sludge (IFAS) and moving-bed biofilm reactor (MBBR) systems has been demonstrated to simulate, with reasonable accuracy, four wastewater treatment configurations with published operational data. Conditions simulated include combined carbon oxidation and nitrification (both IFAS and MBBR), tertiary nitrification MBBR, and post denitrification IFAS with methanol addition as the external carbon source. Simulation results illustrate that the IFAS/MBBR model is sufficiently accurate for describing ammonia-nitrogen reduction, nitrate/nitrite-nitrogen reduction and production, biofilm and suspended biomass distribution, and sludge production.

  17. Scalar conservation laws with moving constraints arising in traffic flow modeling: An existence result

    Science.gov (United States)

    Delle Monache, M. L.; Goatin, P.

    2014-12-01

    We consider a strongly coupled PDE-ODE system that describes the influence of a slow and large vehicle on road traffic. The model consists of a scalar conservation law accounting for the main traffic evolution, while the trajectory of the slower vehicle is given by an ODE depending on the downstream traffic density. The moving constraint is expressed by an inequality on the flux, which models the bottleneck created in the road by the presence of the slower vehicle. We prove the existence of solutions to the Cauchy problem for initial data of bounded variation.

  18. Arbitrary Lagrangian-Eulerian approach in reduced order modeling of a flow with a moving boundary

    Science.gov (United States)

    Stankiewicz, W.; Roszak, R.; Morzyński, M.

    2013-06-01

    Flow-induced deflections of aircraft structures result in oscillations that might turn into such a dangerous phenomena like flutter or buffeting. In this paper the design of an aeroelastic system consisting of Reduced Order Model (ROM) of the flow with a moving boundary is presented. The model is based on Galerkin projection of governing equation onto space spanned by modes obtained from high-fidelity computations. The motion of the boundary and mesh is defined in Arbitrary Lagrangian-Eulerian (ALE) approach and results in additional convective term in Galerkin system. The developed system is demonstrated on the example of a flow around an oscillating wing.

  19. Dust Plume Modeling at Fort Bliss: Move-Out Operations, Combat Training and Wind Erosion

    Energy Technology Data Exchange (ETDEWEB)

    Chapman, Elaine G.; Rishel, Jeremy P.; Rutz, Frederick C.; Seiple, Timothy E.; Newsom, Rob K.; Allwine, K Jerry

    2006-09-29

    The potential for air-quality impacts from heavy mechanized vehicles operating in the training ranges and on the unpaved main supply routes at Fort Bliss was investigated. This report details efforts by the staff of Pacific Northwest National Laboratory for the Fort Bliss Directorate of Environment in this investigation. Dust emission and dispersion from typical activities, including move outs and combat training, occurring on the installation were simulated using the atmospheric modeling system DUSTRAN. Major assumptions associated with designing specific modeling scenarios are summarized, and results from the simulations are presented.

  20. RANCANGAN DATABASE SUBSISTEM PRODUKSI DENGAN PENDEKATAN SEMANTIC OBJECT MODEL

    Directory of Open Access Journals (Sweden)

    Oviliani Yenty Yuliana

    2002-01-01

    Full Text Available To compete in the global market, business performer who active in industry fields should have and get information quickly and accurately, so they could make the precise decision. Traditional cost accounting system cannot give sufficient information, so many industries shift to Activity-Based Costing system (ABC. ABC system is more complex and need more data that should be save and process, so it should be applied information technology and database than traditional cost accounting system. The development of the software technology recently makes the construction of application program is not problem again. The primary problem is how to design database that presented information quickly and accurately. For that reason it necessary to make the model first. This paper discusses database modelling with semantic object model approach. This model is easier to use and is generate more normal database design than entity relationship model approach. Abstract in Bahasa Indonesia : Dalam persaingan di pasar bebas, para pelaku bisnis di bidang industri dalam membuat suatu keputusan yang tepat memerlukan informasi secara cepat dan akurat. Sistem akuntansi biaya tradisional tidak dapat menyediakan informasi yang memadai, sehingga banyak perusahaan industri yang beralih ke sistem Activity-Based Costing (ABC. Tetapi, sistem ABC merupakan sistem yang kompleks dan memerlukan banyak data yang harus disimpan dan diolah, sehingga harus menggunakan teknologi informasi dan database. Kemajuan di bidang perangkat lunak mengakibatkan pembuatan aplikasi program bukan masalah lagi. Permasalahan utama adalah bagaimana merancang database, agar dapat menyajikan informasi secara cepat dan akurat. Untuk itu, dalam makalah ini dibahas pemodelan database dengan pendekatan semantic object model. Model data ini lebih mudah digunakan dan menghasilkan transformasi yang lebih normal, jika dibandingkan dengan entity relationship model yang umum digunakan. Kata kunci: Sub Sistem

  1. Specifying Usage Control ModelWith Object Constraint Language

    Directory of Open Access Journals (Sweden)

    Min Li

    2013-02-01

    Full Text Available The recent usage control model (UCON is a foundation for next-generation access control models with distinguishing properties of decision continuity and attribute mutability. Constraints in UCON are one of the most important components that have involved in the principle motivations of usage analysis and design. The importance of constraints associated with authorizations, obligations, and conditions in UCON has been recognized but modeling these constraints has not been received much attention. In this paper we use a de facto constraints specification language in software engineering to analyze the constraints in UCON model. We show how to represent constraints with object constraint language (OCL and give out a formalized specification of UCON model which is built from basic constraints, such as authorization predicates, obligation actions and condition requirements. Further, we show the flexibility and expressive capability of this specified UCON model with extensive examples.

  2. Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration.

    Science.gov (United States)

    Wang, Panqu; Gauthier, Isabel; Cottrell, Garrison

    2016-04-01

    Are face and object recognition abilities independent? Although it is commonly believed that they are, Gauthier et al. [Gauthier, I., McGugin, R. W., Richler, J. J., Herzmann, G., Speegle, M., & VanGulick, A. E. Experience moderates overlap between object and face recognition, suggesting a common ability. Journal of Vision, 14, 7, 2014] recently showed that these abilities become more correlated as experience with nonface categories increases. They argued that there is a single underlying visual ability, v, that is expressed in performance with both face and nonface categories as experience grows. Using the Cambridge Face Memory Test and the Vanderbilt Expertise Test, they showed that the shared variance between Cambridge Face Memory Test and Vanderbilt Expertise Test performance increases monotonically as experience increases. Here, we address why a shared resource across different visual domains does not lead to competition and to an inverse correlation in abilities? We explain this conundrum using our neurocomputational model of face and object processing ["The Model", TM, Cottrell, G. W., & Hsiao, J. H. Neurocomputational models of face processing. In A. J. Calder, G. Rhodes, M. Johnson, & J. Haxby (Eds.), The Oxford handbook of face perception. Oxford, UK: Oxford University Press, 2011]. We model the domain general ability v as the available computational resources (number of hidden units) in the mapping from input to label and experience as the frequency of individual exemplars in an object category appearing during network training. Our results show that, as in the behavioral data, the correlation between subordinate level face and object recognition accuracy increases as experience grows. We suggest that different domains do not compete for resources because the relevant features are shared between faces and objects. The essential power of experience is to generate a "spreading transform" for faces (separating them in representational space) that

  3. Relativistic models of a class of compact objects

    Indian Academy of Sciences (India)

    Rumi Deb; Bikash Chandra Paul; Ramesh Tikekar

    2012-08-01

    A class of general relativistic solutions in isotropic spherical polar coordinates which describe compact stars in hydrostatic equilibrium are discussed. The stellar models obtained here are characterized by four parameters, namely, , , and of geometrical significance related to the inhomogeneity of the matter content of the star. The stellar models obtained using the solutions are physically viable for a wide range of values of the parameters. The physical features of the compact objects taken up here are studied numerically for a number of admissible values of the parameters. Observational stellar mass data are used to construct suitable models of the compact stars.

  4. 基于OpenCV的动态背景下的运动目标检测%Moving object detection in dynamic background based on OpenCV

    Institute of Scientific and Technical Information of China (English)

    黄天琪; 陈冬琴; 殷旭东

    2014-01-01

    The moving object detection in dynamic background in the video image sequence is studied. The method includes three steps, they are motion estimation, motion compensation and object detection. At the motion estimation, an algorithm based on the feature points matching is taken. The advantages of this algorithm is that it needs fewer data and indicates faster calculating speed compared to the block matching algorithm and the matching of the video image sequence is more reliable. At last the algorithm is implemented using an computer vision library named OpenCV.%研究在动态背景下对视频图像序列进行运动目标的检测。主要包括三个步骤,分别是运动估计,运动补偿和目标检测。在运动估计中采用的主要是基于特征点匹配算法。这种算法与传统的块匹配算法最大的好处在于它的数据量少,计算简单迅速而且图像的匹配可靠性更高。最后用计算机视觉库OpenCV进行实现。

  5. A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction

    Science.gov (United States)

    Danandeh Mehr, Ali; Kahya, Ercan

    2017-06-01

    Genetic programming (GP) is able to systematically explore alternative model structures of different accuracy and complexity from observed input and output data. The effectiveness of GP in hydrological system identification has been recognized in recent studies. However, selecting a parsimonious (accurate and simple) model from such alternatives still remains a question. This paper proposes a Pareto-optimal moving average multigene genetic programming (MA-MGGP) approach to develop a parsimonious model for single-station streamflow prediction. The three main components of the approach that take us from observed data to a validated model are: (1) data pre-processing, (2) system identification and (3) system simplification. The data pre-processing ingredient uses a simple moving average filter to diminish the lagged prediction effect of stand-alone data-driven models. The multigene ingredient of the model tends to identify the underlying nonlinear system with expressions simpler than classical monolithic GP and, eventually simplification component exploits Pareto front plot to select a parsimonious model through an interactive complexity-efficiency trade-off. The approach was tested using the daily streamflow records from a station on Senoz Stream, Turkey. Comparing to the efficiency results of stand-alone GP, MGGP, and conventional multi linear regression prediction models as benchmarks, the proposed Pareto-optimal MA-MGGP model put forward a parsimonious solution, which has a noteworthy importance of being applied in practice. In addition, the approach allows the user to enter human insight into the problem to examine evolved models and pick the best performing programs out for further analysis.

  6. Modeling and Simulation of Grasping of Deformable Objects

    DEFF Research Database (Denmark)

    Fugl, Andreas Rune

    Automated robot solutions have for decades been increasing productivity around the world. They are attractive for being fast, accurate and able to work in dangerous and repetitive environments. In traditional applications the grasped object is kinematically attached to the Tool Center Point....... The purpose of this thesis is to address the modeling and simulation of deformable objects, as applied to robotic grasping and manipulation. The main contributions of this work are: An evaluation of 3D linear elasticity used for robot grasping as implemented by a Finite Difference Method supporting regular...

  7. Communication Modeling and Mobile Object Monitoring by Using Colored Petri Nets

    Directory of Open Access Journals (Sweden)

    Dalė Dzemydienė

    2013-08-01

    Full Text Available Monitoring moving objects and analyzing their statuses are the best opportunities currently offered by mobile technology. The methods and software for wireless systems allow the exchange of many possible data formats (e.g., text, visual or audio communication and provide information about the state of the object’s geographical coordinates in real time. The necessary information is received from the sensors and mobile device’s contextual information. Information is sent to remote servers whenever applicable, and, after some calculation, more accurate data is obtained. Software to identify different situations has been designed and implemented. The software and therefore the identification of the situations of technical equipment can send data, warnings or reminders to a given situation. Colored Petri nets (CPN allowed to more precisely model complex situations of scenarios and to capture the information any time, anywhere provided in advance of a moving object. Mobile devices detect the necessary data via the external or internal physical environment through sensors. The mobile device components are interacting with internal or external physical environment and have the sensor detectors’ parameters. Such information is stored into data-warehouses in which the knowledge discovery is made by CPN models, which represent rules of analysis.

  8. Communication Modeling and Mobile Object Monitoring by Using Colored Petri Nets

    Directory of Open Access Journals (Sweden)

    Ramunas Dzindzalieta

    2011-08-01

    Full Text Available Summary. Monitoring moving objects and analyzing their statuses are the best opportunities currently offered by mobile technology. The methods and software for wireless systems allow the exchange of many possible data formats (e.g., text, visual or audio communication and provide information about the state of the object’s geographical coordinates in real time. The necessary information is received from the sensors and mobile device’s contextual information. Information is sent to remote servers whenever applicable, and, after some calculation, more accurate data is obtained. Software to identify different situations has been designed and implemented. The software and therefore the identification of the situations of technical equipment can send data, warnings or reminders to a given situation. Colored Petri nets (CPN allowed to more precisely model complex situations of scenarios and to capture the information any time, anywhere provided in advance of a moving object. Mobile devices detect the necessary data via the external or internal physical environment through sensors. The mobile device components are interacting with internal or external physical environment and have the sensor detectors’ parameters. Such information is stored into data-warehouses in which the knowledge discovery is made by CPN models, which represent rules of analysis.

  9. Modeling Water Shortage Management Using an Object-Oriented Approach

    Science.gov (United States)

    Wang, J.; Senarath, S.; Brion, L.; Niedzialek, J.; Novoa, R.; Obeysekera, J.

    2007-12-01

    As a result of the increasing global population and the resulting urbanization, water shortage issues have received increased attention throughout the world . Water supply has not been able to keep up with increased demand for water, especially during times of drought. The use of an object-oriented (OO) approach coupled with efficient mathematical models is an effective tool in addressing discrepancies between water supply and demand. Object-oriented modeling has been proven powerful and efficient in simulating natural behavior. This research presents a way to model water shortage management using the OO approach. Three groups of conceptual components using the OO approach are designed for the management model. The first group encompasses evaluation of natural behaviors and possible related management options. This evaluation includes assessing any discrepancy that might exist between water demand and supply. The second group is for decision making which includes the determination of water use cutback amount and duration using established criteria. The third group is for implementation of the management options which are restrictions of water usage at a local or regional scale. The loop is closed through a feedback mechanism where continuity in the time domain is established. Like many other regions, drought management is very important in south Florida. The Regional Simulation Model (RSM) is a finite volume, fully integrated hydrologic model used by the South Florida Water Management District to evaluate regional response to various planning alternatives including drought management. A trigger module was developed for RSM that encapsulates the OO approach to water shortage management. Rigorous testing of the module was performed using historical south Florida conditions. Keywords: Object-oriented, modeling, water shortage management, trigger module, Regional Simulation Model

  10. Object-oriented Modular Model Library for Distillation

    Institute of Scientific and Technical Information of China (English)

    CHEN Chang; DING Jianwan; CHEN Liping

    2013-01-01

    For modeling and simulation of distillation process,there are lots of special purpose simulators along with their model libraries,such as Aspen Plus and HYSYS.However,the models in these tools lack of flexibility and are not open to the end-user.Models developed in one tool can not be conveniently used in others because of the barriers among these simulators.In order to solve those problems,a flexible and extensible distillation system model library is constructed in this study,based on the Modelica and Modelica-supported platform MWorks,by the object-oriented technology and level progressive modeling strategy.It supports the reuse of knowledge on different granularities:physical phenomenon,unit model and system model.It is also an interface-friendly,accurate,fast PC-based and easily reusable simulation tool,which enables end-user to customize and extend the framework to add new functionality or adapt the simulation behavior as required.It also allows new models to be composed programmatically or graphically to form more complex models by invoking the existing components.A conventional air distillation column model is built and calculated using the library,and the results agree well with that simulated in Aspen Plus.

  11. Comparison of Moving Boundary and Finite-Volume Heat Exchanger Models in the Modelica Language

    Directory of Open Access Journals (Sweden)

    Adriano Desideri

    2016-05-01

    Full Text Available When modeling low capacity energy systems, such as a small size (5–150 kWel organic Rankine cycle unit, the governing dynamics are mainly concentrated in the heat exchangers. As a consequence, the accuracy and simulation speed of the higher level system model mainly depend on the heat exchanger model formulation. In particular, the modeling of thermo-flow systems characterized by evaporation or condensation requires heat exchanger models capable of handling phase transitions. To this aim, the finite volume (FV and the moving boundary (MB approaches are the most widely used. The two models are developed and included in the open-source ThermoCycle Modelica library. In this contribution, a comparison between the two approaches is presented. An integrity and accuracy test is designed to evaluate the performance of the FV and MB models during transient conditions. In order to analyze how the two modeling approaches perform when integrated at a system level, two organic Rankine cycle (ORC system models are built using the FV and the MB evaporator model, and their responses are compared against experimental data collected on an 11 kWel ORC power unit. Additionally, the effect of the void fraction value in the MB evaporator model and of the number of control volumes (CVs in the FV one is investigated. The results allow drawing general guidelines for the development of heat exchanger dynamic models involving two-phase flows.

  12. Researches on Object Modeling Technology%OMT技术研究

    Institute of Scientific and Technical Information of China (English)

    白君芬

    2012-01-01

      At present, for the study of object-oriented development methods have become more sophisticated. Among them, the Object Modeling Technique (OMT) has better performance in object-oriented software system modeling.Introduced three models of OMT concepts and OMT elaborated the OMT modeling and design process, fully embodies the the OMT techni⁃cal for most applications, the field of software development to provide a more practical, more efficient guarantee.%  目前,对于面向对象开发方法的研究已日益成熟。其中,对象建模技术(OMT)在面向对象的软件系统建模中具有较好的性能。介绍了OMT概念以及OMT的三种模型,阐述了OMT的建模和设计过程,充分体现了OMT技术为大多数应用领域的软件开发提供了一种更实际、更高效的保证。

  13. Numerical simulations of the moving contact line problem using a diffuse-interface model

    Science.gov (United States)

    Afzaal, Muhammad; Sibley, David; Duncan, Andrew; Yatsyshin, Petr; Duran-Olivencia, Miguel A.; Nold, Andreas; Savva, Nikos; Schmuck, Markus; Kalliadasis, Serafim

    2015-11-01

    Moving contact lines are a ubiquitous phenomenon both in nature and in many modern technologies. One prevalent way of numerically tackling the problem is with diffuse-interface (phase-field) models, where the classical sharp-interface model of continuum mechanics is relaxed to one with a finite thickness fluid-fluid interface, capturing physics from mesoscopic lengthscales. The present work is devoted to the study of the contact line between two fluids confined by two parallel plates, i.e. a dynamically moving meniscus. Our approach is based on a coupled Navier-Stokes/Cahn-Hilliard model. This system of partial differential equations allows a tractable numerical solution to be computed, capturing diffusive and advective effects in a prototypical case study in a finite-element framework. Particular attention is paid to the static and dynamic contact angle of the meniscus advancing or receding between the plates. The results obtained from our approach are compared to the classical sharp-interface model to elicit the importance of considering diffusion and associated effects. We acknowledge financial support from European Research Council via Advanced Grant No. 247031.

  14. Pore-scale modeling of moving contact line problems in immiscible two-phase flow

    Science.gov (United States)

    Kucala, Alec; Noble, David; Martinez, Mario

    2016-11-01

    Accurate modeling of moving contact line (MCL) problems is imperative in predicting capillary pressure vs. saturation curves, permeability, and preferential flow paths for a variety of applications, including geological carbon storage (GCS) and enhanced oil recovery (EOR). Here, we present a model for the moving contact line using pore-scale computational fluid dynamics (CFD) which solves the full, time-dependent Navier-Stokes equations using the Galerkin finite-element method. The MCL is modeled as a surface traction force proportional to the surface tension, dependent on the static properties of the immiscible fluid/solid system. We present a variety of verification test cases for simple two- and three-dimensional geometries to validate the current model, including threshold pressure predictions in flows through pore-throats for a variety of wetting angles. Simulations involving more complex geometries are also presented to be used in future simulations for GCS and EOR problems. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

  15. Forecasting Rice Productivity and Production of Odisha, India, Using Autoregressive Integrated Moving Average Models

    Directory of Open Access Journals (Sweden)

    Rahul Tripathi

    2014-01-01

    Full Text Available Forecasting of rice area, production, and productivity of Odisha was made from the historical data of 1950-51 to 2008-09 by using univariate autoregressive integrated moving average (ARIMA models and was compared with the forecasted all Indian data. The autoregressive (p and moving average (q parameters were identified based on the significant spikes in the plots of partial autocorrelation function (PACF and autocorrelation function (ACF of the different time series. ARIMA (2, 1, 0 model was found suitable for all Indian rice productivity and production, whereas ARIMA (1, 1, 1 was best fitted for forecasting of rice productivity and production in Odisha. Prediction was made for the immediate next three years, that is, 2007-08, 2008-09, and 2009-10, using the best fitted ARIMA models based on minimum value of the selection criterion, that is, Akaike information criteria (AIC and Schwarz-Bayesian information criteria (SBC. The performances of models were validated by comparing with percentage deviation from the actual values and mean absolute percent error (MAPE, which was found to be 0.61 and 2.99% for the area under rice in Odisha and India, respectively. Similarly for prediction of rice production and productivity in Odisha and India, the MAPE was found to be less than 6%.

  16. 基于Object-Z的UML对象模型的形式化%The Formalization of Object Model in UML Based on Object-Z

    Institute of Scientific and Technical Information of China (English)

    杨卫东; 蔡希尧

    2000-01-01

    UML is the main visual Object-oriented modeling language currently, which is used widely and supported by most CASE tools. Comparing with traditional Object-oriented methods, LML describes its semantics and syntax more rigouly by using metamodel and Object Constrain Language. But some important concepts in UML are not specified clearly. This paper presents a formal specification for object model of UML, mainly includes the concepts of class, association, association class, aggregation, and inheritance, etc, so that the analyse, verification, refine, and consistent cheking can be applied to object model.

  17. Computational model for perception of objects and motions

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Perception of objects and motions in the visual scene is one of the basic problems in the visual system. There exist ’What’ and ’Where’ pathways in the superior visual cortex, starting from the simple cells in the primary visual cortex. The former is able to perceive objects such as forms, color, and texture, and the latter perceives ’where’, for example, velocity and direction of spatial movement of objects. This paper explores brain-like computational architectures of visual information processing. We propose a visual perceptual model and computational mechanism for training the perceptual model. The compu- tational model is a three-layer network. The first layer is the input layer which is used to receive the stimuli from natural environments. The second layer is designed for representing the internal neural information. The connections between the first layer and the second layer, called the receptive fields of neurons, are self-adaptively learned based on principle of sparse neural representation. To this end, we introduce Kullback-Leibler divergence as the measure of independence between neural responses and derive the learning algorithm based on minimizing the cost function. The proposed algorithm is applied to train the basis functions, namely receptive fields, which are localized, oriented, and bandpassed. The resultant receptive fields of neurons in the second layer have the characteristics resembling that of simple cells in the primary visual cortex. Based on these basis functions, we further construct the third layer for perception of what and where in the superior visual cortex. The proposed model is able to perceive objects and their motions with a high accuracy and strong robustness against additive noise. Computer simulation results in the final section show the feasibility of the proposed perceptual model and high efficiency of the learning algorithm.

  18. Computational model for perception of objects and motions

    Institute of Scientific and Technical Information of China (English)

    YANG WenLu; ZHANG LiQing; MA LiBo

    2008-01-01

    Perception of objects and motions inthe visual scene is one of the basic problems in the visual system. There exist 'What' and 'Where' pathways in the superior visual cortex, starting from the simple cells in the primary visual cortex. The former is able to perceive objects such as forms, color, and texture, and the latter perceives 'where', for example, velocity and direction of spatial movement of objects. This paper explores brain-like computational architectures of visual information processing. We propose a visual perceptual model and computational mechanism for training the perceptual model. The compu-tational model is a three-layer network. The first layer is the input layer which is used to receive the stimuli from natural environments. The second layer is designed for representing the internal neural information. The connections between the first layer and the second layer, called the receptive fields of neurons, are self-adaptively learned based on principle of sparse neural representation, To this end, we introduce Kullback-Leibler divergence as the measure of independence between neural responses and derive the learning algorithm based on minimizing the cost function. The proposed algorithm is applied to train the basis functions, namely receptive fields, which are localized, oriented, and bandpassed. The resultant receptive fields of neurons in the second layer have the characteristics resembling that of simple cells in the primary visual cortex. Based on these basis functions, we further construct the third layer for perception of what and where in the superior visual cortex. The proposed model is able to perceive objects and their motions with a high accuracy and strong robustness against additive noise. Computer simulation results in the final section show the feasibility of the proposed perceptual model and high efficiency of the learning algorithm.

  19. Eulerian Oil Spills Model Using Finite-Volume Method with Moving Boundary and Wet-Dry Fronts

    Directory of Open Access Journals (Sweden)

    Ehsan Sarhadi Zadeh

    2012-01-01

    Full Text Available The world production of crude oil is about 3 billion tons per year. The overall objective of the model in present study is supporting the decision makers in planning and conducting preventive and emergency interventions. The conservative equation for the slick dynamics was derived from layer-averaged Navier-Stokes (LNS equations, averaged over the slick thickness. Eulerian approach is applied across the model, based on nonlinear shallow water Reynolds-averaged Navier-Stokes (RANS equations. Depth-integrated standard k-ε turbulence schemes have been included in the model. Wetting and drying fronts of intertidal zone and moving boundary are treated within the numerical model. A highly accurate algorithm based on a fourth-degree accurate shape function has been used through an alternating-direction implicit (ADI scheme which separates the operators into locally one-dimensional (LOD components. The solution has been achieved by the application of KPENTA algorithm for the set of the flow equations which constitutes a pentadiagonal matrix. Hydrodynamic model was validated for a channel with a sudden expansion in width. For validation of oil spill model, predicted results are compared with experimental data from a physical modeling of oil spill in a laboratory wave basin under controlled conditions.

  20. Modelling of moving bed biofilm membrane reactors (MBBMR) for on-site greywater treatment.

    Science.gov (United States)

    Jabornig, Simon; Rauch, Wolfgang

    2015-01-01

    The study evaluates with a mechanistic model the pilot plant results of a combined moving bed biofilm process and membrane filtration (MBBMR) treating single household greywater. It mainly includes the simulation of reactor hydraulics, degradation of pollutants, development of biomass and settlement of sludge. Iterative calibration was made with steady-state results of a 10-month pilot test. The model shows good predictions of readily biodegradable chemical oxygen demand and ammonium removal, as well as biomass concentration on carriers and in suspension. Also, a sensitivity analysis was made which calculates the relative significance factor of each model coefficient and by this provides comparability with other studies. Simulation data and actually measured parameters show that the suggested process was rather independent of ambient temperatures and short-term load fluctuations. Obtained datasets and model structure could be of use for future designers, as well as sellers and users of this process for on-site greywater reclamation.

  1. A Two-Factor Autoregressive Moving Average Model Based on Fuzzy Fluctuation Logical Relationships

    Directory of Open Access Journals (Sweden)

    Shuang Guan

    2017-10-01

    Full Text Available Many of the existing autoregressive moving average (ARMA forecast models are based on one main factor. In this paper, we proposed a new two-factor first-order ARMA forecast model based on fuzzy fluctuation logical relationships of both a main factor and a secondary factor of a historical training time series. Firstly, we generated a fluctuation time series (FTS for two factors by calculating the difference of each data point with its previous day, then finding the absolute means of the two FTSs. We then constructed a fuzzy fluctuation time series (FFTS according to the defined linguistic sets. The next step was establishing fuzzy fluctuation logical relation groups (FFLRGs for a two-factor first-order autoregressive (AR(1 model and forecasting the training data with the AR(1 model. Then we built FFLRGs for a two-factor first-order autoregressive moving average (ARMA(1,m model. Lastly, we forecasted test data with the ARMA(1,m model. To illustrate the performance of our model, we used real Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX and Dow Jones datasets as a secondary factor to forecast TAIEX. The experiment results indicate that the proposed two-factor fluctuation ARMA method outperformed the one-factor method based on real historic data. The secondary factor may have some effects on the main factor and thereby impact the forecasting results. Using fuzzified fluctuations rather than fuzzified real data could avoid the influence of extreme values in historic data, which performs negatively while forecasting. To verify the accuracy and effectiveness of the model, we also employed our method to forecast the Shanghai Stock Exchange Composite Index (SHSECI from 2001 to 2015 and the international gold price from 2000 to 2010.

  2. Object-oriented modeling of patients in a medical federation.

    Science.gov (United States)

    Proctor, M D; Creech, G S

    2001-09-01

    This research explores the development of an object-oriented model to support inter-operation of simulations within a federation for the purpose of conducting medical analysis and training over a distributed infrastructure. The medical federation is referred to as the combat trauma patient simulation system and is composed using high level architecture. The infrastructure contains components that were separately developed and are heterogeneous in nature. This includes a general anatomical computer database capable of generating human injuries, referred to as operational requirements-based casualty assessment, an animated mannequin called the human patient simulator, and other components. The research develops an object model that enables bodily injury data to be shared across the simulation, conducts analysis on that data, and considers possible applications of the technique in expanded medical infrastructures.

  3. High level architecture evolved modular federation object model

    Institute of Scientific and Technical Information of China (English)

    Wang Wenguang; Xu Yongping; Chen Xin; Li Qun; Wang Weiping

    2009-01-01

    To improve the agility, dynamics, composability, reusability, and development efficiency restricted by monolithic federation object model (FOM), a modular FOM is proposed by high level architecture (HLA) evolved product development group. This paper reviews the state-of-the-art of HLA evolved modular FOM. In particular, related concepts, the overall impact on HLA standards, extension principles, and merging processes are discussed. Also permitted and restricted combinations, and merging rules are provided, and the influence on HLA interface specification is given. The comparison between modular FOM and base object model (BOM) is performed to illustrate the importance of their combination. The applications of modular FOM are summarized. Finally, the significance to facilitate compoable simulation both in academia and practice is presented and future directions are pointed out.

  4. High level architecture evolved modular federation object model

    CERN Document Server

    Wang, Wenguang; Chen, Xin; Li, Qun; Wang, Weiping

    2009-01-01

    To improve the agility, dynamics, composability, reusability, and development efficiency restricted by monolithic Federation Object Model (FOM), a modular FOM was proposed by High Level Architecture (HLA) Evolved product development group. This paper reviews the state-of-the-art of HLA Evolved modular FOM. In particular, related concepts, the overall impact on HLA standards, extension principles, and merging processes are discussed. Also permitted and restricted combinations, and merging rules are provided, and the influence on HLA interface specification is given. The comparison between modular FOM and Base Object Model (BOM) is performed to illustrate the importance of their combination. The applications of modular FOM are summarized. Finally, the significance to facilitate composable simulation both in academia and practice is presented and future directions are pointed out.

  5. Implementation procedure for the generalized moving Preisach model based on a first order reversal curve diagram

    Institute of Scientific and Technical Information of China (English)

    HAN Yong; ZHU Jie

    2009-01-01

    Ftrst order reversal curves (FORC) of nanoeomposite Nd2Fe14B/Fe3B magnetic materials were measured to attain a FORC diagram, which characterizes reversible magnetization, irreversible magnetization, and magnetic interactions in a hysteresis system. Then, generalized mov-ing Preisach model (GMPM) was implemented based on the FORC diagram. Reversible and irreversible magnetizations shown in FORCs and a FORC diagram were used as an input of GMPM. Coupling interaction between reversible and irreversible magnetizations was added when calculating reversible magnetization. Meanwhile, irreversible magnetic moments' interaction was approximately represented by mean field interaction. The result shows that the simulated main curves mostly coincide with the experimental curves.

  6. A Physical Model of Phaethon, a Near-Sun Object

    Science.gov (United States)

    Boice, Daniel C.; Benkhoff, J.; Huebner, W. F.

    2013-10-01

    Physico-chemical modeling is central to understand the important physical processes that occur in small solar system bodies. We have developed a computer code, SUSEI, that includes the physico-chemical processes relevant to comets within a global modeling framework to better understand observations and in situ measurements and to provide valuable insights into the intrinsic properties of their nuclei. SUISEI includes a 3D model of gas and heat transport in porous sub-surface layers in the interior of the nucleus. We have successfully used this model in our study of previous comets at normal heliocentric distances [e.g., 46P/Wirtanen, D/1993 F2 (Shoemaker-Levy 9)]. We have adapted SUISEI to model near-Sun objects to reveal significant differences in the chemistry and dynamics of their comae (atmosphere) with comets that don’t closely approach the Sun. At small heliocentric distances, temperatures are high enough to vaporize surface materials and dust, forming a source of gas. Another important question concerns the energy balance at the body’s surface, namely what fraction of incident energy will be conducted into the interior versus that used for sublimation. This is important to understand if the interior stays cold and is relatively unaltered during each perihelion passage or is significantly devolatilized. This also bears upon the regimes where sublimation and ablation due to ram pressure dominate in the erosion or eventual destruction of sun-grazers. The resulting model will be an important tool for studying sungrazing comets and other near-Sun objects. We will present results on the application of SUISEI to the near-Sun object, Phaethon. Acknowledgements: We appreciate support from the SwRI IR&D and the NSF Planetary Astronomy Programs.

  7. MODELING OF CONVECTIVE STREAMS IN PNEUMOBASIC OBJECTS (Part 2

    Directory of Open Access Journals (Sweden)

    B. M. Khroustalev

    2015-01-01

    Full Text Available The article presents modeling for investigation of aerodynamic processes on area sections (including a group of complex constructional works for different regimes of drop and wind streams  and  temperature  conditions  and  in  complex  constructional  works  (for  different regimes of heating and ventilation. There were developed different programs for innovation problems solution in the field of heat and mass exchange in three-dimensional space of pres- sures-speeds-temperatures of оbjects.The field of uses of pneumobasic objects: construction and roof of tennis courts, hockey pitches, swimming pools , and also exhibitions’ buildings, circus buildings, cafes, aqua parks, studios, mobile objects of medical purposes, hangars, garages, construction sites, service sta- tions and etc. Advantages of such objects are the possibility and simplicity of multiple instal- lation and demolition works. Their large-scale implementation is determined by temperature- moisture conditions under the shells.Analytical and calculating researches, real researches of thermodynamic parameters of heat and mass exchange, multifactorial processes of air in pneumobasic objects, their shells in a wide range of climatic parameters of air (January – December in the Republic of Belarus, in many geographical latitudes of many countries have shown that the limit of the possibility of optimizing wind loads, heat flow, acoustic effects is infinite (sports, residential, industrial, warehouse, the military-technical units (tanks, airplanes, etc.. In modeling of convective flows in pneumobasic objects (part 1 there are processes with higher dynamic parameters of the air flow for the characteristic pneumobasic object, carried out the calculation of the velocity field, temperature, pressure at the speed of access of air through the inflow holes up to 5 m/sec at the moments of times (20, 100, 200, 400 sec. The calculation was performed using the developed mathematical

  8. THE INVESTMENT MODEL OF THE CONSTRUCTION OF PUBLIC OBJECTS

    Directory of Open Access Journals (Sweden)

    Reperger Šandor

    2009-11-01

    Full Text Available One of the possible models of the construction and use of sports objects, especi- ally indoor facilities (sports centres, halls, swimming pools, shooting alleys and others is the cooperation of the public and private sector, by the investment model of PPP (Pu- blic-Private Partnership. PPP (Public-Private Partnership construction is the new form of securing civil works, already known in the developed countries, in which the job of planning, construc- tion, functioning and financing is done by the private sector – in the scope of a precisely elaborated cooperation with the state. The state engages the private sector for the administering of the civil works. By public adverstisements and contests they will find the investors who accept the administe- ring of certain public works by themselves or with the help of project partners with their own resources (with 60-85% of bank loans, secure the conditions for conducting certain services (by using the objects, halls, etc until the expiration of the agreed deadline. The essence of PPP construction is the fact that an investor from the private sec- tor, chosen through a contest, realizes the project using its own means. The object beco- mes the property of the investor and it secures the regular functioning of the object with exclusive rights. The income from the functioning belongs to the investor, in return the costs of the functioning of the object, the upkeep, as well as the costs of the personnel and public utilities are the responsibility of the investor. The public use of the object is realised by the means that the authorised ministry and the partner from the contest in an agreement of the realization and functioning of the object accurately define the time of maintenance and the duration of the services on the behalf of social interest. From the time specified in the agreement the investor doesn’t charge precisely defined users for general and specific services. As Sebia, with all its

  9. A Multi-objective Procedure for Efficient Regression Modeling

    CERN Document Server

    Sinha, Ankur; Kuosmanen, Timo

    2012-01-01

    Variable selection is recognized as one of the most critical steps in statistical modeling. The problems encountered in engineering and social sciences are commonly characterized by over-abundance of explanatory variables, non-linearities and unknown interdependencies between the regressors. An added difficulty is that the analysts may have little or no prior knowledge on the relative importance of the variables. To provide a robust method for model selection, this paper introduces a technique called the Multi-objective Genetic Algorithm for Variable Selection (MOGA-VS) which provides the user with an efficient set of regression models for a given data-set. The algorithm considers the regression problem as a two objective task, where the purpose is to choose those models over the other which have less number of regression coefficients and better goodness of fit. In MOGA-VS, the model selection procedure is implemented in two steps. First, we generate the frontier of all efficient or non-dominated regression m...

  10. Object-Oriented MDAO Tool with Aeroservoelastic Model Tuning Capability

    Science.gov (United States)

    Pak, Chan-gi; Li, Wesley; Lung, Shun-fat

    2008-01-01

    An object-oriented multi-disciplinary analysis and optimization (MDAO) tool has been developed at the NASA Dryden Flight Research Center to automate the design and analysis process and leverage existing commercial as well as in-house codes to enable true multidisciplinary optimization in the preliminary design stage of subsonic, transonic, supersonic and hypersonic aircraft. Once the structural analysis discipline is finalized and integrated completely into the MDAO process, other disciplines such as aerodynamics and flight controls will be integrated as well. Simple and efficient model tuning capabilities based on optimization problem are successfully integrated with the MDAO tool. More synchronized all phases of experimental testing (ground and flight), analytical model updating, high-fidelity simulations for model validation, and integrated design may result in reduction of uncertainties in the aeroservoelastic model and increase the flight safety.

  11. Embodied affectivity: On moving and being moved

    Directory of Open Access Journals (Sweden)

    Thomas eFuchs

    2014-06-01

    Full Text Available There is a growing body of research indicating that bodily sensation and behaviour strongly influences one’s emotional reaction towards certain situations or objects. On this background, a framework model of embodied affectivity is suggested: we regard emotions as resulting from the circular interaction between affective qualities or affordances in the environment and the subject’s bodily resonance, be it in the form of sensations, postures, expressive movements or movement tendencies. Motion and emotion are thus intrinsically connected: one is moved by movement (perception; impression; affection and moved to move (action; expression; e-motion. Through its resonance, the body functions as a medium of emotional perception: it colours or charges self-experience and the environment with affective valences while it remains itself in the background of one’s own awareness. This model is then applied to emotional social understanding or interaffectivity which is regarded as an intertwinement of two cycles of embodied affectivity, thus continuously modifying each partner’s affective affordances and bodily resonance. We conclude with considerations of how embodied affectivity is altered in psychopathology and can be addressed in psychotherapy of the embodied self.

  12. Mathematical modeling of salt-gradient ion-exchange simulated moving bed chromatography for protein separations

    Institute of Scientific and Technical Information of China (English)

    卢建刚

    2004-01-01

    The salt-gradient operation mode used in ion-exchange simulated moving bed chromatography (SMBC) can improve the efficiency of protein separations. A detailed model that takes into account any kind of adsorption/ion-exchange equilibrium, salt gradient, size exclusion, mass transfer resistance, and port periodic switching mechanism, was developed to simulate the complex dynamics. The model predictions were verified by the experimental data on upward and downward gradients for protein separations reported in the literature. All design and operating parameters (number, configuration, length and diameter of columns, particle size, switching period, flow rates of feed, raffinate, desorbent and extract, protein concentrations in feed, different salt concentrations in desorbent and feed) can be chosen correctly by numerical simulation. This model can facilitate the design, operation, optimization, control and scale-up of salt-gradient ion-exchange SMBC for protein separations.

  13. A Non—linear Non—ideal Model of Simulated Moving Bed Chromatography for Chiral Separations

    Institute of Scientific and Technical Information of China (English)

    卢建刚

    2003-01-01

    A non-linear non-ideal model,taking into account non-linear competitive isotherms,axial disperison,film mass transfer,intraparticle diffusion,and port periodic switching,was developed to simulate the dynamics of simulated moving bed chromatography(SMBC),The model equations were solved by a new efficient numerical technique of orthogonal collocation on finite elements with periodical movement of conceantration vector,The simulated SMBC performance is in accordance with the experimental results reported in the literature for separation of 1,1''''''''-bi-2-naphtol enantiomers using SMBC,This model is useful for design,operation ,optimization and scale-up of non-linear SMBC for chiral separations with significant non-ideal effects,especially for high solute concentration and small intraparticle diffusion coefficient or large chiral stationary phase particle.

  14. GLIMMER Antarctic Ice Sheet Model,an experimental research of moving boundary condition

    Institute of Scientific and Technical Information of China (English)

    Tang Xueyuan; Sun Bo; Zhang Zhanhai; Li Yuansheng; Yang Qinghua

    2008-01-01

    A 3 D coupled ice sheet model,GLIMMER model is introduced,and an idealized ice sheet experiment under the EISMINT 1 criterion of moving boundary condition is presented.The results of the experiment reveal that for a steady state ice sheet profile the characteristic curves describe the process of evolution which are accordant with theoretical estimates.By solving the coupled thermodynamics equations of ice sheet,one may find the characteristic curves which derived from the conservation of the mass,energy and momentum to the ice flow profile.At the same time,an agreement,approximate to the GLIMMER case and the confirmed theoretical results,is found.Present study is explorihg work to introduceand discuss the handicaps of EISMINT criterion and GLIMMER,and prospect a few directions of the GLIMMER model.

  15. Rule-Driven Object Tracking in Clutter and Partial Occlusion with Model-Based Snakes

    Directory of Open Access Journals (Sweden)

    Rapantzikos Konstantinos

    2004-01-01

    Full Text Available In the last few years it has been made clear to the research community that further improvements in classic approaches for solving low-level computer vision and image/video understanding tasks are difficult to obtain. New approaches started evolving, employing knowledge-based processing, though transforming a priori knowledge to low-level models and rules are far from being straightforward. In this paper, we examine one of the most popular active contour models, snakes, and propose a snake model, modifying terms and introducing a model-based one that eliminates basic problems through the usage of prior shape knowledge in the model. A probabilistic rule-driven utilization of the proposed model follows, being able to handle (or cope with objects of different shapes, contour complexities and motions; different environments, indoor and outdoor; cluttered sequences; and cases where background is complex (not smooth and when moving objects get partially occluded. The proposed method has been tested in a variety of sequences and the experimental results verify its efficiency.

  16. Why do we move our head to look at an object in our peripheral region? Lateral viewing interferes with attentive search.

    Directory of Open Access Journals (Sweden)

    Ryoichi Nakashima

    Full Text Available Why do we frequently fixate an object of interest presented peripherally by moving our head as well as our eyes, even when we are capable of fixating the object with an eye movement alone (lateral viewing? Studies of eye-head coordination for gaze shifts have suggested that the degree of eye-head coupling could be determined by an unconscious weighing of the motor costs and benefits of executing a head movement. The present study investigated visual perceptual effects of head direction as an additional factor impacting on a cost-benefit organization of eye-head control. Three experiments using visual search tasks were conducted, manipulating eye direction relative to head orientation (front or lateral viewing. Results show that lateral viewing increased the time required to detect a target in a search for the letter T among letter L distractors, a serial attentive search task, but not in a search for T among letter O distractors, a parallel preattentive search task (Experiment 1. The interference could not be attributed to either a deleterious effect of lateral gaze on the accuracy of saccadic eye movements, nor to potentially problematic optical effects of binocular lateral viewing, because effect of head directions was obtained under conditions in which the task was accomplished without saccades (Experiment 2, and during monocular viewing (Experiment 3. These results suggest that a difference between the head and eye directions interferes with visual processing, and that the interference can be explained by the modulation of attention by the relative positions of the eyes and head (or head direction.

  17. Cellular automaton model in the fundamental diagram approach reproducing the synchronized outflow of wide moving jams

    Energy Technology Data Exchange (ETDEWEB)

    Tian, Jun-fang, E-mail: tianhustbjtu@hotmail.com [MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044 (China); Yuan, Zhen-zhou; Jia, Bin; Fan, Hong-qiang; Wang, Tao [MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044 (China)

    2012-09-10

    Velocity effect and critical velocity are incorporated into the average space gap cellular automaton model [J.F. Tian, et al., Phys. A 391 (2012) 3129], which was able to reproduce many spatiotemporal dynamics reported by the three-phase theory except the synchronized outflow of wide moving jams. The physics of traffic breakdown has been explained. Various congested patterns induced by the on-ramp are reproduced. It is shown that the occurrence of synchronized outflow, free outflow of wide moving jams is closely related with drivers time delay in acceleration at the downstream jam front and the critical velocity, respectively. -- Highlights: ► Velocity effect is added into average space gap cellular automaton model. ► The physics of traffic breakdown has been explained. ► The probabilistic nature of traffic breakdown is simulated. ► Various congested patterns induced by the on-ramp are reproduced. ► The occurrence of synchronized outflow of jams depends on drivers time delay.

  18. Moving waves and spatiotemporal patterns due to weak thermal effects in models of catalytic oxidation

    Science.gov (United States)

    Nekhamkina, Olga; Sheintuch, Moshe

    2005-05-01

    We analyze the behavior of a microkinetic model of a catalytic reaction coupled with weak enthalpy effects to show that under fixed gas-phase concentrations it can produce moving waves with an intrinsic length scale, when the underlying kinetics is oscillatory. The kinetic model incorporates dissociative oxygen adsorption, reactant adsorption and desorption, and surface reaction. Three typical patterns may emerge in a one-dimensional system (a long wire or a ring): homogeneous oscillations, a family of moving waves propagating with constant velocities, and patterns with multiple source/sink points. Pattern selection depends on the ratio of the system length to the intrinsic wave length and the governing parameters. We complement these analysis with simulations that revealed a plethora of patterned states on one- and two-dimensional systems (a disk or a cylinder). This work shows that weak long-range coupling due to high feed rates maintains such patterns, while low feed rates or strong long-range interaction can gradually suppress the emerging patterns.

  19. Objective Characterization of Snow Microstructure for Microwave Emission Modeling

    Science.gov (United States)

    Durand, Michael; Kim, Edward J.; Molotch, Noah P.; Margulis, Steven A.; Courville, Zoe; Malzler, Christian

    2012-01-01

    Passive microwave (PM) measurements are sensitive to the presence and quantity of snow, a fact that has long been used to monitor snowcover from space. In order to estimate total snow water equivalent (SWE) within PM footprints (on the order of approx 100 sq km), it is prerequisite to understand snow microwave emission at the point scale and how microwave radiation integrates spatially; the former is the topic of this paper. Snow microstructure is one of the fundamental controls on the propagation of microwave radiation through snow. Our goal in this study is to evaluate the prospects for driving the Microwave Emission Model of Layered Snowpacks with objective measurements of snow specific surface area to reproduce measured brightness temperatures when forced with objective measurements of snow specific surface area (S). This eliminates the need to treat the grain size as a free-fit parameter.

  20. Advertising Model of Residential Real Estate Object in Lithuania

    Directory of Open Access Journals (Sweden)

    Jelena Mazaj

    2012-07-01

    Full Text Available Since the year 2000, during the period of economic growth, the real estate market has been rapidly expanding. During this period advertising of real estate objects was implemented using one set of similar channels (press advertising, Internet advertising, leaflets with contact information of real estate agents and others, however the start of the economic recession has intensified the competition in the market and forced companies to search for new advertising means or to diversify the advertising package. The article presents real estate property, as a product, one of the marketing components – including advertising, conclusions and suggestions based on conducted surveys and a model for advertising the residential real estate objects.Article in Lithuanian

  1. Object tracking with double-dictionary appearance model

    Science.gov (United States)

    Lv, Li; Fan, Tanghuai; Sun, Zhen; Wang, Jun; Xu, Lizhong

    2016-08-01

    Dictionary learning has previously been applied to target tracking across images in video sequences. However, most trackers that use dictionary learning neglect to make optimal use of the representation coefficients to locate the target. This increases the possibility of losing the target in the presence of similar objects, or in case occlusion or rotation occurs. We propose an effective object-tracking method based on a double-dictionary appearance model under a particle filter framework. We employ a double dictionary by training template features to represent the target. This representation not only exploits the relationship between the candidate and target but also represents the target more accurately with minimal residual. We also introduce a simple and effective strategy to update the template to reduce the influence of occlusion, rotation, and drift. Experiments on challenging sequences showed that the proposed algorithm performs favorably against the state-of-the-art methods in terms of several comparative metrics.

  2. Forecasting mortality of road traffic injuries in China using seasonal autoregressive integrated moving average model.

    Science.gov (United States)

    Zhang, Xujun; Pang, Yuanyuan; Cui, Mengjing; Stallones, Lorann; Xiang, Huiyun

    2015-02-01

    Road traffic injuries have become a major public health problem in China. This study aimed to develop statistical models for predicting road traffic deaths and to analyze seasonality of deaths in China. A seasonal autoregressive integrated moving average (SARIMA) model was used to fit the data from 2000 to 2011. Akaike Information Criterion, Bayesian Information Criterion, and mean absolute percentage error were used to evaluate the constructed models. Autocorrelation function and partial autocorrelation function of residuals and Ljung-Box test were used to compare the goodness-of-fit between the different models. The SARIMA model was used to forecast monthly road traffic deaths in 2012. The seasonal pattern of road traffic mortality data was statistically significant in China. SARIMA (1, 1, 1) (0, 1, 1)12 model was the best fitting model among various candidate models; the Akaike Information Criterion, Bayesian Information Criterion, and mean absolute percentage error were -483.679, -475.053, and 4.937, respectively. Goodness-of-fit testing showed nonautocorrelations in the residuals of the model (Ljung-Box test, Q = 4.86, P = .993). The fitted deaths using the SARIMA (1, 1, 1) (0, 1, 1)12 model for years 2000 to 2011 closely followed the observed number of road traffic deaths for the same years. The predicted and observed deaths were also very close for 2012. This study suggests that accurate forecasting of road traffic death incidence is possible using SARIMA model. The SARIMA model applied to historical road traffic deaths data could provide important evidence of burden of road traffic injuries in China. Copyright © 2015 Elsevier Inc. All rights reserved.

  3. An Improved Direction Relation Detection Model for Spatial Objects

    Institute of Scientific and Technical Information of China (English)

    FENG Yucai; YI Baolin

    2004-01-01

    Direction is a common spatial concept that is used in our daily life. It is frequently used as a selection condition in spatial queries. As a result, it is important for spatial databases to provide a mechanism for modeling and processing direction queries and reasoning. Depending on the direction relation matrix, an inverted direction relation matrix and the concept of direction pre- dominance are proposed to improve the detection of direction relation between objects. Direction predicates of spatial systems are also extended. These techniques can improve the veracity of direction queries and reasoning. Experiments show excellent efficiency and performance in view of direction queries.

  4. A knowledge discovery object model API for Java

    Directory of Open Access Journals (Sweden)

    Jones Steven JM

    2003-10-01

    Full Text Available Abstract Background Biological data resources have become heterogeneous and derive from multiple sources. This introduces challenges in the management and utilization of this data in software development. Although efforts are underway to create a standard format for the transmission and storage of biological data, this objective has yet to be fully realized. Results This work describes an application programming interface (API that provides a framework for developing an effective biological knowledge ontology for Java-based software projects. The API provides a robust framework for the data acquisition and management needs of an ontology implementation. In addition, the API contains classes to assist in creating GUIs to represent this data visually. Conclusions The Knowledge Discovery Object Model (KDOM API is particularly useful for medium to large applications, or for a number of smaller software projects with common characteristics or objectives. KDOM can be coupled effectively with other biologically relevant APIs and classes. Source code, libraries, documentation and examples are available at http://www.bcgsc.ca/bioinfo/software.

  5. Interactive object modelling based on piecewise planar surface patches.

    Science.gov (United States)

    Prankl, Johann; Zillich, Michael; Vincze, Markus

    2013-06-01

    Detecting elements such as planes in 3D is essential to describe objects for applications such as robotics and augmented reality. While plane estimation is well studied, table-top scenes exhibit a large number of planes and methods often lock onto a dominant plane or do not estimate 3D object structure but only homographies of individual planes. In this paper we introduce MDL to the problem of incrementally detecting multiple planar patches in a scene using tracked interest points in image sequences. Planar patches are reconstructed and stored in a keyframe-based graph structure. In case different motions occur, separate object hypotheses are modelled from currently visible patches and patches seen in previous frames. We evaluate our approach on a standard data set published by the Visual Geometry Group at the University of Oxford [24] and on our own data set containing table-top scenes. Results indicate that our approach significantly improves over the state-of-the-art algorithms.

  6. Interactive object modelling based on piecewise planar surface patches☆

    Science.gov (United States)

    Prankl, Johann; Zillich, Michael; Vincze, Markus

    2013-01-01

    Detecting elements such as planes in 3D is essential to describe objects for applications such as robotics and augmented reality. While plane estimation is well studied, table-top scenes exhibit a large number of planes and methods often lock onto a dominant plane or do not estimate 3D object structure but only homographies of individual planes. In this paper we introduce MDL to the problem of incrementally detecting multiple planar patches in a scene using tracked interest points in image sequences. Planar patches are reconstructed and stored in a keyframe-based graph structure. In case different motions occur, separate object hypotheses are modelled from currently visible patches and patches seen in previous frames. We evaluate our approach on a standard data set published by the Visual Geometry Group at the University of Oxford [24] and on our own data set containing table-top scenes. Results indicate that our approach significantly improves over the state-of-the-art algorithms. PMID:24511219

  7. MODELLING THE INTERACTION IN GAME SPORTS - RELATIVE PHASE AND MOVING CORRELATIONS

    Directory of Open Access Journals (Sweden)

    Martin Lames

    2006-12-01

    Full Text Available Model building in game sports should maintain the constitutive feature of this group of sports, the dynamic interaction process between the two parties. For single net/wall games relative phase is suggested to describe the positional interaction between the two players. 30 baseline rallies in tennis were examined and relative phase was calculated by Hilbert transform from the two time-series of lateral displacement and trajectory in the court respectively. Results showed that relative phase indicates some aspects of the tactical interaction in tennis. At a more abstract level the interaction between two teams in handball was studied by examining the relationship of the two scoring processes. Each process can be conceived as a random walk. Moving averages of the scoring probabilities indicate something like a momentary strength. A moving correlation (length = 20 ball possessions describes the momentary relationship between the teams' strength. Evidence was found that this correlation is heavily time-dependent, in almost every single game among the 40 examined ones we found phases with a significant positive as well as significant negative relationship. This underlines the importance of a dynamic view on the interaction in these games.

  8. Mathematical model of innovative sustainability “green” construction object

    Directory of Open Access Journals (Sweden)

    Slesarev Michail

    2016-01-01

    Full Text Available The paper addresses the issue of finding sustainability of “green” innovative processes in interaction between construction activities and the environment. The problem of today’s construction science is stated as comprehensive integration and automation of natural and artificial intellects within systems that ensure environmental safety of construction based on innovative sustainability of “green” technologies in the life environment, and “green” innovative products. The suggested solution to the problem should formalize sustainability models and methods for interpretation of optimization mathematical modeling problems respective to problems of environmental-based innovative process management, adapted to construction of “green” objects, “green” construction technologies, “green” innovative materials and structures.

  9. Models for predicting objective function weights in prostate cancer IMRT

    Energy Technology Data Exchange (ETDEWEB)

    Boutilier, Justin J., E-mail: j.boutilier@mail.utoronto.ca; Lee, Taewoo [Department of Mechanical and Industrial Engineering, University of Toronto, 5 King’s College Road, Toronto, Ontario M5S 3G8 (Canada); Craig, Tim [Radiation Medicine Program, UHN Princess Margaret Cancer Centre, 610 University of Avenue, Toronto, Ontario M5T 2M9, Canada and Department of Radiation Oncology, University of Toronto, 148 - 150 College Street, Toronto, Ontario M5S 3S2 (Canada); Sharpe, Michael B. [Radiation Medicine Program, UHN Princess Margaret Cancer Centre, 610 University of Avenue, Toronto, Ontario M5T 2M9 (Canada); Department of Radiation Oncology, University of Toronto, 148 - 150 College Street, Toronto, Ontario M5S 3S2 (Canada); Techna Institute for the Advancement of Technology for Health, 124 - 100 College Street, Toronto, Ontario M5G 1P5 (Canada); Chan, Timothy C. Y. [Department of Mechanical and Industrial Engineering, University of Toronto, 5 King’s College Road, Toronto, Ontario M5S 3G8, Canada and Techna Institute for the Advancement of Technology for Health, 124 - 100 College Street, Toronto, Ontario M5G 1P5 (Canada)

    2015-04-15

    Purpose: To develop and evaluate the clinical applicability of advanced machine learning models that simultaneously predict multiple optimization objective function weights from patient geometry for intensity-modulated radiation therapy of prostate cancer. Methods: A previously developed inverse optimization method was applied retrospectively to determine optimal objective function weights for 315 treated patients. The authors used an overlap volume ratio (OV) of bladder and rectum for different PTV expansions and overlap volume histogram slopes (OVSR and OVSB for the rectum and bladder, respectively) as explanatory variables that quantify patient geometry. Using the optimal weights as ground truth, the authors trained and applied three prediction models: logistic regression (LR), multinomial logistic regression (MLR), and weighted K-nearest neighbor (KNN). The population average of the optimal objective function weights was also calculated. Results: The OV at 0.4 cm and OVSR at 0.1 cm features were found to be the most predictive of the weights. The authors observed comparable performance (i.e., no statistically significant difference) between LR, MLR, and KNN methodologies, with LR appearing to perform the best. All three machine learning models outperformed the population average by a statistically significant amount over a range of clinical metrics including bladder/rectum V53Gy, bladder/rectum V70Gy, and dose to the bladder, rectum, CTV, and PTV. When comparing the weights directly, the LR model predicted bladder and rectum weights that had, on average, a 73% and 74% relative improvement over the population average weights, respectively. The treatment plans resulting from the LR weights had, on average, a rectum V70Gy that was 35% closer to the clinical plan and a bladder V70Gy that was 29% closer, compared to the population average weights. Similar results were observed for all other clinical metrics. Conclusions: The authors demonstrated that the KNN and MLR

  10. Minimal camera networks for 3D image based modeling of cultural heritage objects.

    Science.gov (United States)

    Alsadik, Bashar; Gerke, Markus; Vosselman, George; Daham, Afrah; Jasim, Luma

    2014-03-25

    3D modeling of cultural heritage objects like artifacts, statues and buildings is nowadays an important tool for virtual museums, preservation and restoration. In this paper, we introduce a method to automatically design a minimal imaging network for the 3D modeling of cultural heritage objects. This becomes important for reducing the image capture time and processing when documenting large and complex sites. Moreover, such a minimal camera network design is desirable for imaging non-digitally documented artifacts in museums and other archeological sites to avoid disturbing the visitors for a long time and/or moving delicate precious objects to complete the documentation task. The developed method is tested on the Iraqi famous statue "Lamassu". Lamassu is a human-headed winged bull of over 4.25 m in height from the era of Ashurnasirpal II (883-859 BC). Close-range photogrammetry is used for the 3D modeling task where a dense ordered imaging network of 45 high resolution images were captured around Lamassu with an object sample distance of 1 mm. These images constitute a dense network and the aim of our study was to apply our method to reduce the number of images for the 3D modeling and at the same time preserve pre-defined point accuracy. Temporary control points were fixed evenly on the body of Lamassu and measured by using a total station for the external validation and scaling purpose. Two network filtering methods are implemented and three different software packages are used to investigate the efficiency of the image orientation and modeling of the statue in the filtered (reduced) image networks. Internal and external validation results prove that minimal image networks can provide highly accurate records and efficiency in terms of visualization, completeness, processing time (>60% reduction) and the final accuracy of 1 mm.

  11. Minimal Camera Networks for 3D Image Based Modeling of Cultural Heritage Objects

    Directory of Open Access Journals (Sweden)

    Bashar Alsadik

    2014-03-01

    Full Text Available 3D modeling of cultural heritage objects like artifacts, statues and buildings is nowadays an important tool for virtual museums, preservation and restoration. In this paper, we introduce a method to automatically design a minimal imaging network for the 3D modeling of cultural heritage objects. This becomes important for reducing the image capture time and processing when documenting large and complex sites. Moreover, such a minimal camera network design is desirable for imaging non-digitally documented artifacts in museums and other archeological sites to avoid disturbing the visitors for a long time and/or moving delicate precious objects to complete the documentation task. The developed method is tested on the Iraqi famous statue “Lamassu”. Lamassu is a human-headed winged bull of over 4.25 m in height from the era of Ashurnasirpal II (883–859 BC. Close-range photogrammetry is used for the 3D modeling task where a dense ordered imaging network of 45 high resolution images were captured around Lamassu with an object sample distance of 1 mm. These images constitute a dense network and the aim of our study was to apply our method to reduce the number of images for the 3D modeling and at the same time preserve pre-defined point accuracy. Temporary control points were fixed evenly on the body of Lamassu and measured by using a total station for the external validation and scaling purpose. Two network filtering methods are implemented and three different software packages are used to investigate the efficiency of the image orientation and modeling of the statue in the filtered (reduced image networks. Internal and external validation results prove that minimal image networks can provide highly accurate records and efficiency in terms of visualization, completeness, processing time (>60% reduction and the final accuracy of 1 mm.

  12. Moving Kriging shape function modeling of vector TARMA models for modal identification of linear time-varying structural systems

    Science.gov (United States)

    Yang, Wu; Liu, Li; Zhou, Si-Da; Ma, Zhi-Sai

    2015-10-01

    This work proposes a Moving Kriging (MK) shape function modeling method for modal identification of linear time-varying (LTV) structural systems based on vector time-dependent autoregressive moving average (VTARMA) models. It aims to avoid the functional subspaces selection of the conventional functional series VTARMA (FS-VTARMA) models. Instead of the common basis functions, it constructs the time-varying coefficients on the time nodes with the MK shape functions in a compact support domain. The merit of the MK shape function is to determine its shape parameters upon vector random vibration signals adaptively. Model identification is effectively dealt with through an optimization scheme that decomposes the identification problem into two subproblems: estimating model parameters via two-stage least squares (2SLS) method and estimating shape function parameters via a discrete-continuous-variable hybrid optimization. In addition, the model order selection is achieved by the optimization scheme. This method has been validated by a Monte Carlo study of simulation case and further by an experimental test case, and the performance and potential advantages are illustrated.

  13. 基于ART2网络的运动目标检测%Moving object detection based on ART2 network

    Institute of Scientific and Technical Information of China (English)

    陈众; 李维

    2012-01-01

    The structure of ART2 and the cellularity of human retina are compared in this paper. Some new functions are added into ART2 network by extending apperceiving ways, adjusting its vigilance value, which is used to simulate the image information processing function of human retina. The applications to the moving object detection fields are provid- ed and the results show that the processing of ART2 network accords with the physiological and psychological features of retina, and can provide a better solution to the disturbances caused by ghost and flutter.%从仿生学角度出发,分析了ART2网络和视网膜细胞结构之间的类别关系,通过扩展感知能力和调整警戒值等方式完备ART2网络单元的功能,运用ART2网络模拟视网膜的信息处理过程,提出了一种用ART2网络模拟视觉细胞来处理像素点的色彩信息的有效处理方法,并给出了该方法在运动目标检测领域的一个应用实例。试验结果表明,用ART2网络仿生处理符合人眼观察事物的生理和心理特点,能较好地处理幽灵和无序扰动等常见问题。

  14. Study on Location Privacy Protection Scheme for Moving Objects%移动用户位置隐私保护方案研究

    Institute of Scientific and Technical Information of China (English)

    史敏仪; 李玲娟

    2014-01-01

    With the rapid development of Location-Based Service ( LBS) ,how to ensure the users' privacy security has become an ur-gent problem when they use LBS. In this paper,several primary location privacy protection technologies are analyzed and compared,and a central server-based location privacy protection scheme is proposed for protecting mobile user's location privacy. This scheme consid-ers the sensitive level of area according to different privacy protection needs,uses K-anonymity and pseudonyms to protect location priva-cy in sensitive areas,and applies footprint to assist anonymity. This scheme can effectively protect location privacy of moving object with-out reducing the quality of service.%随着基于位置的服务( LBS)的发展,如何保证用户在使用位置服务时的隐私安全,已成为一个亟待解决的问题。文中对主流的位置隐私保护技术进行了分析和比较。在此基础上,针对移动用户的位置隐私保护,提出了一种基于中心服务器的位置隐私保护方案。该方案针对隐私保护需求的差异性,考虑区域的敏感等级,对敏感区域采用K-匿名和假名进行保护,同时运用脚印来辅助匿名。该方案能在不降低位置服务质量的前提下,有效地保护移动用户位置隐私。

  15. Biomass Torrefaction Process Review and Moving Bed Torrefaction System Model Development

    Energy Technology Data Exchange (ETDEWEB)

    Jaya Shakar Tumuluru; Shahab Sokhansanj; Christopher T. Wright; Richard D. Boardman

    2010-08-01

    Torrefaction is currently developing as an important preprocessing step to improve the quality of biomass in terms of physical properties, and proximate and ultimate composition. Torrefaction is a slow heating of biomass in an inert or reduced environment to a maximum temperature of 300 C. Torrefaction can also be defined as a group of products resulting from the partially controlled and isothermal pyrolysis of biomass occurring in a temperature range of 200-230 C and 270-280 C. Thus, the process can also be called a mild pyrolysis as it occurs at the lower temperature range of the pyrolysis process. At the end of the torrefaction process, a solid uniform product with lower moisture content and higher energy content than raw biomass is produced. Most of the smoke-producing compounds and other volatiles are removed during torrefaction, producing a final product that will have a lower mass but a higher heating value. An important aspect of research is to establish a degree of torrefaction where gains in heating value offset the loss of mass. There is a lack of literature on torrefaction reactor designs and a design sheet for estimating the dimensions of the torrefier based on capacity. This study includes (a) conducting a detailed review on the torrefaction of biomass in terms of understanding the process, product properties, off-gas compositions, and methods used, and (b) to design a moving bed torrefier, taking into account the basic fundamental heat and mass transfer calculations. Specific objectives include calculating the dimensions like diameter and height of the moving packed bed for different capacities, designing the heat loads and gas flow rates, and developing an interactive excel sheet where the user can define design specifications. In this report, 25-1000 kg/hr are used in equations for the design of the torrefier, examples of calculations, and specifications for the torrefier.

  16. Biomass Torrefaction Process Review and Moving Bed Torrefaction System Model Development

    Energy Technology Data Exchange (ETDEWEB)

    Jaya Shakar Tumuluru; Shahab Sokhansanj; Christopher T. Wright

    2010-08-01

    Torrefaction is currently developing as an important preprocessing step to improve the quality of biomass in terms of physical properties, and proximate and ultimate composition. Torrefaction is a slow heating of biomass in an inert or reduced environment to a maximum temperature of 300°C. Torrefaction can also be defined as a group of products resulting from the partially controlled and isothermal pyrolysis of biomass occurring in a temperature range of 200–230ºC and 270–280ºC. Thus, the process can also be called a mild pyrolysis as it occurs at the lower temperature range of the pyrolysis process. At the end of the torrefaction process, a solid uniform product with lower moisture content and higher energy content than raw biomass is produced. Most of the smoke-producing compounds and other volatiles are removed during torrefaction, producing a final product that will have a lower mass but a higher heating value. An important aspect of research is to establish a degree of torrefaction where gains in heating value offset the loss of mass. There is a lack of literature on torrefaction reactor designs and a design sheet for estimating the dimensions of the torrefier based on capacity. This study includes a) conducting a detailed review on the torrefaction of biomass in terms of understanding the process, product properties, off-gas compositions, and methods used, and b) to design a moving bed torrefier, taking into account the basic fundamental heat and mass transfer calculations. Specific objectives include calculating the dimensions like diameter and height of the moving packed bed for different capacities, designing the heat loads and gas flow rates, and developing an interactive excel sheet where the user can define design specifications. In this report, 25–1000 kg/hr are used in equations for the design of the torrefier, examples of calculations, and specifications for the torrefier.

  17. Single and multiple object tracking using log-euclidean Riemannian subspace and block-division appearance model.

    Science.gov (United States)

    Hu, Weiming; Li, Xi; Luo, Wenhan; Zhang, Xiaoqin; Maybank, Stephen; Zhang, Zhongfei

    2012-12-01

    Object appearance modeling is crucial for tracking objects, especially in videos captured by nonstationary cameras and for reasoning about occlusions between multiple moving objects. Based on the log-euclidean Riemannian metric on symmetric positive definite matrices, we propose an incremental log-euclidean Riemannian subspace learning algorithm in which covariance matrices of image features are mapped into a vector space with the log-euclidean Riemannian metric. Based on the subspace learning algorithm, we develop a log-euclidean block-division appearance model which captures both the global and local spatial layout information about object appearances. Single object tracking and multi-object tracking with occlusion reasoning are then achieved by particle filtering-based Bayesian state inference. During tracking, incremental updating of the log-euclidean block-division appearance model captures changes in object appearance. For multi-object tracking, the appearance models of the objects can be updated even in the presence of occlusions. Experimental results demonstrate that the proposed tracking algorithm obtains more accurate results than six state-of-the-art tracking algorithms.

  18. A moving mirror in AdS space as a toy model for holographic thermalization

    CERN Document Server

    Erdmenger, Johanna; Ngo, Thanh Hai

    2011-01-01

    It is expected that thermalization may be described within gauge/gravity duality by considering time-dependent configurations on the gravity side of the correspondence, for instance a gravitational collapse of a matter configuration in Anti-de Sitter space. As a step towards the ambitious goal of describing such a configuration, we investigate a simple time-dependent toy model in which a mirror moves in the radial direction of Anti-de Sitter space. For this configuration, we establish a procedure for calculating two-point functions of scalar fluctuations, based on a WKB approximation. We test our method on two sample trajectories for the mirror, and find that the singularity structure of the two-point functions is in agreement with geometric optics.

  19. ANALYTICAL MODELS OF FLOATING BRIDGES SUBJECTED BY MOVING LOADS FOR DIFFERENT WATER DEPTHS

    Institute of Scientific and Technical Information of China (English)

    ZHANG Jun; MIAO Guo-ping; LIU Jian-xun; SUN Wen-jun

    2008-01-01

    There are two types of floating bridge such as discrete-pontoon floating bridges and continuous-pontoon floating bridges.Analytical models of both floating bridges subjected by moving loads are presented to study the dynamic responses with hydrodynamic influence coefficients for different water depths. The beam theory and potential theory are introduced to produce themodels. The hydrodynamic coefficients and dynamic responses of bridges are evaluated by the boundary element method and by the Galerkin method of weighted residuals, respectively. Considering causal relationship between the frequencies of the oscillation of floating bridges and the added mass coefficients, an iteration method is introduced to compute hydrodynamic frequencies. The results indicate that water depth has little influence upon the dynamic responses of both types of floating bridges, so that the effect of water depth can be neglected during the course of designing floating bridges.

  20. Moving Object Detection Method Via Superpixels Based on Spatiotemporal Multi-cues Fusion%基于空时多线索融合的超像素运动目标检测方法

    Institute of Scientific and Technical Information of China (English)

    宋涛; 李鸥; 刘广怡

    2016-01-01

    运动目标检测是计算机视觉领域极具挑战性的难题,该文针对这一问题提出一种基于空时多线索融合的超像素运动目标检测方法。首先利用简单线性迭代聚类算法将当前帧分割为超像素集合,根据帧间的像素级时变线索找到当前帧中包含运动信息的前景超像素子块;然后根据运动目标的一致性原则建立前一帧目标模型,结合目标空间线索进一步确定包含运动目标的检测窗口,将目标检测问题转化为目标分割问题,利用密集角点检测将目标从窗口中分割出来。在多个具有挑战性的公开视频序列上同几种流行检测算法的实验对比结果证明了所提算法的有效性和优越性。%Moving object detection is a challenging issue in computer vision. In this paper, a new detection method via superpixels is proposed based on spatiotemporal multi-cues fusion. First, the current frame is segmented into a set of superpixels using simple linear iterative clustering and the subblocks of foreground superpixels containing motion information are captured according to the time-varying cue of inter-frame pixel-level. Then, a target model of the previous frame, which is established on the basis of the consistency principle of motion target and space clues of a target, are combined to further determine the detection window including the moving object. Finally, the problem of object detection is converted to object segmentation and an object is divided from the detection window utilizing the dense corner detection. Experimental results using several challenging public video sequences show the effectiveness and superiority of the proposed method compared with other state-of-the-art detection approaches.