ppxscal/embedding_network huggingface dataset:
Joint Recognition of Complex Events and Track Matching
Authors: Michael T. Chan, Anthony Hoogs, Rahul Bhotika, Amitha Perera, John Schmiederer, Gianfranco Doretto
Venue: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (2006)

We present a novel method for jointly performing recognition of complex events and linking fragmented tracks into coherent, long-duration tracks. Many event recognition methods require highly accurate tracking, and may fail when tracks corresponding to event actors are fragmented or partially missing. However, these conditions occur frequently from occlusions, traffic and tracking errors. Recently, methods have been proposed for linking track fragments from multiple objects under these difficult conditions. Here, we develop a method for solving these two problems jointly. A hypothesized event model, represented as a Dynamic Bayes Net, supplies data-driven constraints on the likelihood of proposed track fragment matches. These event-guided constraints are combined with appearance and kinematic constraints used in the previous track linking formulation. The result is the most likely track linking solution given the event model, and the highest event score given all of the track fragments. The event model with the highest score is determined to have occurred, if the score exceeds a threshold. Results demonstrated on a busy scene of airplane servicing activities, where many non-event movers and long fragmented tracks are present, show the promise of the approach to solving the joint problem.
Modeling and Worst-Case Dimensioning of Cluster-Tree Wireless Sensor Networks
Authors: Anis Koubaa, Mario Alves, Eduardo Tovar
Venue: Proceedings of the 27th IEEE International Real-Time Systems Symposium (2006)

Time-sensitive Wireless Sensor Network (WSN) applications require finite delay bounds in critical situations. This paper provides a methodology for the modeling and the worst-case dimensioning of cluster-tree WSNs. We provide a fine model of the worst-case cluster-tree topology characterized by its depth, the maximum number of child routers and the maximum number of child nodes for each parent router. Using Network Calculus, we derive "plug-and-play" expressions for the endto- end delay bounds, buffering and bandwidth requirements as a function of the WSN cluster-tree characteristics and traffic specifications. The cluster-tree topology has been adopted by many cluster-based solutions for WSNs. We demonstrate how to apply our general results for dimensioning IEEE 802.15.4/Zigbee cluster-tree WSNs. We believe that this paper shows the fundamental performance limits of cluster-tree wireless sensor networks by the provision of a simple and effective methodology for the design of such WSNs.
Autonomous Order Monitoring by Software Agents
Authors: F. Bodendorf, R. Zimmermann
Venue: Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology (2006)

In B2B (Business-to-Business) E-Commerce companies depend eminently on the punctual fulfillment of orders given to their suppliers. It is a very time consuming and costly task to observe every order in a way that bad events can be detected instantaneously. This is especially true if there are many suppliers providing various parts and you also have to check the supply of the suppliers etc. So called Supply Chain Event Management tries to cope with this problem. Software agents that gather event-related information are one promising approach to monitor a large number of different orders autonomously and individually. Fuzzy logic provides mechanisms for heuristic human-like assessments of these data. An agent-based concept is introduced that includes autonomous software for tracking orders on the one hand and fuzzy logic mechanisms for analyzing order data on the other hand. A prototype implementation illustrates this concept. Results of evaluation experiments using this prototype system are presented.
A Hybrid Recogniser for Handwritten Symbols Based on Fuzzy Logic and Self-Organizing Maps
Authors: Alex Cronin, John A. Fitzgerald, Tahar Kechadi
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

In this paper we present a hybrid approach to handwritten symbol recognition based on two different methods and principles. A fuzzy rules based recogniser and a Self-Organizing Map recogniser are combined to form our hybrid system. These two systems complement each other well, firstly because their feature extraction techniques differ greatly, and secondly because one is a model-based and the other is a discriminative classifier. Each system generates a ranked list of outputs with associated confidence values, and these outputs are combined to produce a single result. The approach has achieved high recognition rates in testing on digits and lowercase characters from the UNIPEN database.
3-D Virtual Environments on Mobile Devices for Remote Surveillance
Authors: R. Vezzani, R. Cucchiara, A. Malizia, L. Cinque
Venue: Proceedings of the IEEE International Conference on Video and Signal Based Surveillance (2006)

In this paper we present a distributed videosurveillance framework. Our end is the remote monitoring of the behavior of people moving in a scene exploiting a virtual reconstruction on low capabilities devices, like PDAs and cell phones. The main novelty of this system is the effective integration of the computer vision and computer graphics modules. The first, using a probabilistic frameworks, can detect the position, the trajectory and the posture of peoples moving in the scene. The second exploits the new possibility of both standard 3D graphics libraries on mobile (namely JSR184 and M3G graphic format) and new PDAs processing capability in order to reconstruct the remote surveillance data in real-time.
Symmetrical Color-Spatial Feature for Medical Image Retrieval
Authors: Jing-yi Qu, Hao-shan Shi
Venue: Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia (2006)

Color feature of an image is one of the most common used features in content-based image retrieval (CBIR) systems. Combining the traditional colorhistogram with some spatial information will greatly increase the accuracy of color features. One advantage of color feature is that it is independent to the distortion of an image. However, with the introduction of the spatial information, this advantage will disappear. In this paper, we proposed a new symmetrical color-spatial method based on square loop. Experiment results show that the method has good performance when 90 or 180 degree rotation and flip. Its good efficiency makes it suitable for large numbers of images retrieval.
Rule-Based Category Learning is Impaired in Patients with Parkinson's Disease but not in Patients with Cerebellar Disorders
Authors: W. Todd Maddox, Paul Aparicio, Natalie L. Marchant, Richard B. Ivry
Venue: Journal of Cognitive Neuroscience (2005)

The basal ganglia and cerebellum have both been implicated in motor skill acquisition. Recent hypotheses concerning cognitive functions of the basal ganglia and cerebellum have emphasized that these subcortical structures may also contribute to nonmotor learning. To explore this issue, patients with Parkinson's disease (PD) and patients with cerebellar lesions (CB) were tested on two category-learning tasks. Identical stimulus displays were used for the two tasks, consisting of a reference line and target line. In the length task, the two categories were defined based on the length of the target line. In the distance task, the two categories were defined by the distance between the target and reference lines. Thus, both categories could be defined by a simple rule in which attention must be restricted to a single relevant dimension. Consistent with previous results, the patients with PD were impaired on both tasks compared with neurologically healthy controls. In contrast, the CB patients performed similar to the control participants. Model-based analyses indicate that the patients with PD were able to select the appropriate categorization rule, but that they adopted suboptimal category boundaries in both conditions and were more variable in the application of the selected rule. These results provide an important neuropsychological dissociation on a non-motor-learning task between the effects of basal ganglia and cerebellar lesions. Moreover, the modeling work suggests that at least part of the Parkinson patients' impairment on these tasks reflect a tendency to exhibit strong response biases.
The Relationship of Three Cortical Regions to an Information-Processing Model
Authors: John R. Anderson, Yulin Qin, V. Andrew Stenger, Cameron S. Carter
Venue: Journal of Cognitive Neuroscience (2004)

This research tests a model of the computational role of three cortical regions in tasks like algebra equation solving. The model assumes that there is a left parietal region-of-interest (ROI) where the problem expression is represented and transformed, a left prefrontal ROI where information for solving the task is retrieved, and a motor ROI where hand movements to produce the answer are programmed. A functional magnetic resonance imaging (fMRI) study of an abstract symbolmanipulation task was performed to articulate the roles of these three regions. Participants learned to associate words with instructions for transforming strings of letters. The study manipulated the need to retrieve these instructions, the need to transform the strings, and whether there was a delay between calculation of the answer and the output of the answer. As predicted, the left parietal ROI mainly reflected the need for a transformation and the left prefrontal ROI the need for retrieval. Homologous right ROIs showed similar but weaker responses. Neither the prefrontal nor the parietal ROIs responded to delay, but the motor ROI did respond to delay, implying motor rehearsal over the delay. Except for the motor ROI, these patterns of activity did not vary with response hand. In an ACT-R model, it was shown that the activity of an imaginal buffer predicted the blood oxygen level-dependent (BOLD) response of the parietal ROI, the activity of a retrieval buffer predicted the response of the prefrontal ROI, and the activity of a manual buffer predicted the response of the motor ROI.
Clarifying the role of self-efficacy and metacognition as predictors of performance: construct development and test
Authors: Trevor T. Moores, Jerry Cha-Jan Chang, Deborah K. Smith
Venue: ACM SIGMIS Database (2006)

We propose extending our understanding of self-efficacy by comparing self-efficacy with a related construct called metacognition. Metacognition involves the monitoring and control of one's thought processes and is often related, as is self-efficacy, to performance on a task. We develop an instrument that attempts to measure both self-efficacy and metacognition with respect to one's performance on a test covering declarative and procedural knowledge (knowing that, and knowing how) of DFDs and ERDs. With data collected from a sample of 124 students, we use partial least squares (PLS) to show that self-efficacy and metacognition are distinct yet related constructs. While self-efficacy is a predictor of both declarative and procedural knowledge, metacognition is only related to procedural knowledge. We discuss the implications of these results and suggest further research is needed to compare and contrast the role of these constructs in assessing learning outcomes.
An Intrusion Detection Architecture for Ad Hoc Network Based on Artificial Immune System
Authors: Hongxia Xie, Zhengyun Hui
Venue: Proceedings of the Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (2006)

Mobile Ad Hoc Networks are vulnerable to security attacks that aim at disrupting routing information, exhausting nodes resources, maliciously manipulating data traffic etc. Construction of security mechanisms for Mobile Ad Hoc Networks is complicated by the fact that they lack a network infrastructure and a central authority for authentication and distribution of cryptographic keys. In this paper is presented a theoretical architecture of an Artificial Immune System inspired by the vertebrate immune system. The objective of the proposed AIS is protection and reaction against known and unknown dys-functions or attacks in a Mobile Ad Hoc Network.
The DRFT-a rotation in time-frequency space
Authors: B. Santhanam, J. H. McClellan
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

The continuous-time angular Fourier transformation (AFT) represents a rotation in continuous time-frequency space and also serves as an orthonormal signal representation for chirp signals. We present a discrete version of the AFT (DRFT) that represents a rotation in discrete time-frequency space and some properties of the transform that support its interpretation as a rotation. The transform is a generalization of the DFT. The eigenvalue structure of the DFT is then exploited to develop an efficient algorithm for the computation of this transform.
A new In-network data aggregation technology of wireless sensor networks
Authors: Jianbo Xu, Siliang Zeng, Fengjiao Qu
Venue: Proceedings of the Second International Conference on Semantics, Knowledge, and Grid (2006)

In wireless sensor network, in-network data aggregation can eliminate redundancy, improve data accuracy and thus prolong the lifetime of network. However, most of data aggregation technologies assumed that the aggregator node has been receiving all the data when it performers the aggregation operation, these methods give larger latency to the transmission of network's data and affect the accuracy of network. Therefore, this paper presents a new data aggregation technology, conjiguring carefilly the aggregator node's timeouts through making use of a new aggregation timing control scheme, which is to achieve a good trade-off between energy efficiency and data accuracy.
Unique identifiability of the common support of coefficients of a second order anisotropic elliptic system by the Dirichlet-Neumann map
Authors: Mathias Jais
Venue: Journal of Computational and Applied Mathematics (2006)

We consider the system of second order elliptic equations -Σk∇ (Ei,k ∇uk)+ Pi,kuk=0, 1 ≤ i ≤ n in a bounded simply-connected domain B. Using a factorisation method ansatz, we show that the difference of two Neumann-to-Dirichlet maps Λ - Λ0 is sufficient to uniquely determine the support of the tensor E - E0 and the matrix P - P0, where E0 and P0 are known and -Σk ∇(Ei,k0 ∇uk0 + Pi,k0uk0 = 0, 1 ≤ i ≤ n
A precise estimation technique for test coverage of components in object-oriented frameworks
Authors: Yuji Sakata, Kazutoshi Yokoyama, Hironori Washizaki, Yoshiaki Fukazawa
Venue: Proceedings of the XIII Asia Pacific Software Engineering Conference (2006)

In general, a component-based system uses only a part of the functions of its software components. Therefore, precise structural testing for components requires to specify what functions of the components are used in the system. In addition, in the case with an object-oriented component, some existing studies point out that testing of all possible bindings between a call site and the methods that the site may invoke is extremely ineffective. In this paper, we propose a method for precisely estimating test coverage of components on an object-oriented framework by using its deployment descriptor and evaluate its effectiveness.
Exploring exponentially weighted moving average control charts to determine the warm-up period
Authors: Manuel D. Rossetti, Zhe Li, Peng Qu
Venue: Proceedings of the 37th conference on Winter simulation (2005)

In this paper, we examine the use of exponentially weighted moving average (EWMA) control charts for the detection of initialization bias in steady state simulation experiments. EWMA charts have the interesting property of being more sensitive to shifts in the data as compared to other control charting techniques. We exploit this sensitivity by developing a criteria for searching for the deletion point when the EWMA is applied to the reversed data sequence. This allows us to more easily detect and count the number of times the smoothed sequence remains in control. Our results indicate that the procedure can quickly find and recommend a deletion point. In addition, the properties of the resulting estimators are good if the dataset that is being analyzed does not have an overtly large amount of biased data points. We use experimental test cases to illustrate the properties of the procedure.
Linkage analysis using sex-specific recombination fractions with GENEHUNTER-MODSCORE
Authors: Johannes Dietter, Manuel Mattheisen, Robert Fürst, Franz Rüschendorf, Thomas F. Wienker, Konstantin Strauch
Venue: Bioinformatics (2007)

Motivation: Sex-specific marker maps have become increasingly available. We have implemented the usage of sex-specific recombination frequencies in the GENEHUNTER-MODSCORE program that performs multipoint linkage analysis. Furthermore, we have devised a consistent method to choose the combinations of male and female genetic positions at which linkage scores should be calculated. Marker coordinates can be read automatically from publicly available genetic maps. Results: In a MOD-score analysis of the COGA dataset provided for Genetic Analysis Workshop 14, the highest linkage peak on chromosome 1 further increases when using sex-specific maps, while some smaller peaks are decreased. Simulations confirm that the MOD score can be biased when a sex-averaged instead of the correct sex-specific map is employed. This shows that an adequate modeling of the female:male ratio of genetic distances is important, especially for complex traits. Availability: The new version of GENEHUNTER-MODSCORE can be downloaded from the following website: http://www.staff.uni-marburg.de/~strauchk/software.html Contact: dietter@med.uni-marburg.de
The Method of Soft Sensing Based on RBF Neural Network and Intelligent Control for Sewage Disposal Process
Authors: Zaiwen Liu, Lifeng Cui, Xiaoqin Lian, Cuiling Liu, Chaozhen Hou
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2 (2006)

Soft sensing method was proposed for determination of effluent BOD from SBR and its principle was introduced, the method was based on the radial basic function (RBF) artificial neural network. The RBF neural network was trained and simulated by a lot of observed data, and the result showed that the RBF neural network may be used to fulfill soft sensing for effluent BOD from SBR, so as to create condition for real-time control of sewage disposal process, showing abroad perspective in application. The fuzzy control method for DO in SBR sewage disposal process was represented, and the aeration time and the energy consuming according to different DO curves were also studied. DO can be controlled in real time by the fuzzy logical to change the frequency of motor. Then we can adjust the concentration of DO according to different DO curves, and get the obvious advantages in shortening time of wastewater treatment and reducing energy consume
Constructions of Low-Degree and Error-Correcting \in-Biased Generators
Authors: Amir Shpilka
Venue: Proceedings of the 21st Annual IEEE Conference on Computational Complexity (2006)

In this work we give two new constructions of \in-biased generators. Our first construction answers an open question of Dodis and Smith [DS05], and our second construction significantly extends a result of Mossel et al. [MST03].
Control of space charge redistribution to correct aberrations in charged particle beams
Authors: Y. V. Zuev
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 3 (2003)

The charged particle beam in confining fields tends to an equilibrium configuration. The process, as well known, entails space charge redistribution and nonlinear aberrations. In most cases the beam phase distribution oscillates about equilibrium one due to excess of energy. Appropriate choice of the confining fields allows controlling frequency and amplitude of the oscillation that beam aberrations remain reversible and exhibit at the exit a required phase, for example, close to the initial phase when the aberrations are small. Beam optics with corrected aberrations may be designed on the principle. An example of the optics for matching beam into a radio-frequency-quadruple accelerator (RFQ) is presented. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
BCB: A Buffered CrossBar Switch Fabric Utilizing Shared Memory
Authors: George Kornaros
Venue: Proceedings of the 9th EUROMICRO Conference on Digital System Design (2006)

Todays' highly complex Systems-on-Chip require highspeed switching interconnects. Advances on signaling technology on the other hand allows the building of high-degree switching fabrics. Buffered crossbars are receiving increasing attention in these areas since they allow efficient highperformance distributed scheduling by decoupling inputs from outputs. However, the requirements in memory storage scale quadratically with the number of ports. An efficient architecture is presented to maximize system performance and memory utilization at the same time. The proposed solution is to integrate a shared memory buffer per row in addition to a minimum-sized dedicated buffer per crosspoint. An efficient novel architecture of an 8x8 crossbar switch is described, that is feasible and provides 100Gbps throughput implemented in a 0.18um CMOS technolo
A wiring-aware approach to minimizing built-in self-test overhead
Authors: Abdil Rashid Mohamed, Zebo Peng, Petru Eles
Venue: Journal of Computer Science and Technology (2005)

This paper describes a built-in self-test (BIST) hardware overhead minimization technique used during a BIST synthesis process. The technique inserts a minimal amount of BIST resources into a digital system to make it fully testable. The BIST resource insertion is guided by the results of symbolic testability analysis. It takes into consideration both BIST register cost and wiring overhead in order to obtain the minimal area designs. A Simulated Annealing algorithm is used to solve the overhead minimization problem. Experiments show that considering wiring area during BIST synthesis results in smaller final designs as compared to the cases when the wiring impact is ignored.
A Generic Model Framework for MOUT Simulations
Authors: Suiping Zhou, Shang-Ping Ting
Venue: Proceedings of the 2006 International Conference on Cyberworlds (2006)

Considerable efforts are needed to construct a virtual environment for Military Operations on Urbanized Terrain (MOUT). The models of various objects used in one application are often specifically designed for that application, thus are not generally suitable for other applications. We often have to rebuild many object models for a new simulation setup, which is very tedious and time consuming. To reduce the cost and time in building up different simulation environments, it is therefore highly desirable to have a repository of object models that are interoperable and extensible thus can be reused in different applications. To this end, we propose a generic model framework which supports model interoperability and reusability for MOUT simulations. Our experiences with Twilight City, a virtual training environment for MOUT, show that the proposed framework is successful in creating a repository of models for various simulation setups.