ppxscal/embedding_network huggingface dataset:
Supporting VCR-like operations in SMIL2.0 players
Authors: Chun-Chuan Yang, Chih-Wen Tien, Yung-Chi Wang
Venue: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1 (2003)

In this paper, we deal with supporting of the VCR-like operations such as fast forward/backward and sliding for SMIL2.0 presentations. Mechanisms for supporting VCR-like operations for a SMIL2.0 player are proposed. Normal play mode for a SMIL2.0 presentation is based on extended real-time synchronization model (E-RTSM) that provides a convenient way to represent the temporal scenario in the presentation. Fast forward/backward and sliding operations are based on the typical playback time of each object in the presentation, in which the typical playback time is defined as the playback time calculated without considering the non-deterministic events in the script. A skipping strategy is adopted to implement fast forward/backward operations. Moreover, a new design for the slider is also proposed to address some of the non-deterministic characteristics in SMIL2.0 presentations.
NoRIS: supporting computational science activities through learner-centered design
Authors: Chris Quintana, Kasem Abotel, Elliot Soloway
Venue: Proceedings of the 1996 international conference on Learning sciences (1996)

Computational science provides scientists with a variety of tools and methods to help them investigate scientific problems. Computational science is becoming increasingly important, not just for scientists, but also for students who need to gain expertise with similar investigations for their scientific careers. However, because students lack the expertise of professional researchers, complexities arise that pose obstacles to students trying to use computational science to conduct scientific investigations: complexity in the number of diverse investigative tasks to perform, in the lack of tools for supporting certain activities, and in the variety of existing tools and interfaces that students have to learn. In order to address these complexities, we have used learner-centered design to guide the implementation of NoRIS, a computational tool used by nuclear engineering students investigating particle distribution problems. By using different scaffolding strategies, we found that we were able to build a tool that helps support nuclear engineering students investigating problems from their domain.
An M-band, 2-dimensional translation-invariant wavelet transform and applications
Authors: S. Del Marco, P. Heller, J. Weiss
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

This paper develops a two-dimensional M-band translation-invariant wavelet transform (2-D MTI). Use of the MTI overcomes the shift-variance of the wavelet transform by applying a cost function over M shifts of the input signal. The new transform is proven to be translation-invariant. Use of M-band wavelets enables a finer frequency partitioning and greater energy compaction in the transform representation. Examples are presented which show that the translation-invariant transforms provide superior energy concentration compared to the corresponding nominal wavelet transforms. Examples are also presented comparing the energy concentration capability of M-band wavelets and the modulated lapped transform (MLT). We explored the MTI as a tool for image processing by using it to represent several different images.
Retrieval Orientation and the Control of Recollection
Authors: Jane E. Herron, Michael D. Rugg
Venue: Journal of Cognitive Neuroscience (2003)

Event-related potentials (ERPs) were employed to investigate whether recognition test items are processed differently according to whether they are used to probe memory for previously studied words or pictures. In each of two study-test blocks, subjects encoded a mixed list of words and pictures, and then performed a recognition memory task with words as the test items. In one block, the requirement was to respond positively to test items corresponding to studied words, and to reject both new items and items corresponding to the studied pictures. In the other block, positive responses were made to test items corresponding to pictures, and items corresponding to words were classified along with the new items. ERPs elicited during the test phase by correctly classified new items differed according to whether words or pictures were the sought-for modality. This finding was interpreted as a neural correlate of the different retrieval orientations adopted when searching memory for words versus pictures. Relative to new items, correctly classified items studied in both target modalities elicited robust, positive-going "old/new" effects. When pictures were targets, test items corresponding to studied words also elicited large effects. By contrast, when words were targets, old/new effects were absent for the items corresponding to studied pictures. These findings were interpreted as evidence that, in some circumstances, adoption of an appropriate retrieval orientation permits retrieval cues to be employed with a high degree of specificity.
Model-driven Walks for Resource Discovery in Peer-to-Peer Networks
Authors: M. Bakhouya, J. Gaber
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

In this paper, a distributed and adaptive approach for resource discovery in peer-to-peer networks is presented. This approach is based on the mobile agent paradigm and the random walk technique with reinforcement learning to allow for dynamic and selfadaptive resource discovery. More precisely, this approach augments random walks with a reinforcement learning technique where mobile agents are backtracked over the walked path in the network. A metric recording an affinity value that incorporates knowledge from past and present searches is maintained between nodes. The affinity value is used during a search to influence the selection of the next hop. This approach is evaluated with the network simulator ns2.
Replication strategies for peer-to-peer based multimedia distribution service
Authors: Zhe Xiang, Qian Zhang, Wenwu Zhu, Zhensheng Zhang
Venue: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1 (2003)

Peer-to-peer based multimedia distribution service draws great attention in recent years. In order to improve system performance and provide high service availability, we propose a hierarchy replication strategy based on the topology-aware overlay, which can achieve the scalable and QoS-awareness. Specifically, we propose two distributed heuristic replication strategies: inter-group replication and intra-group replication, both strategies are simple and based on theoretic analysis. Simulation results show that, the latency in our proposed scheme is up to 20% less than that of the FreeNet and up to 50% less than that of the randomly replication system.
Truncation Errors in Exponential Fitting for Oscillatory Problems
Authors: J. P. Coleman, L. Gr. Ixaru
Venue: SIAM Journal on Numerical Analysis (2006)

A generalization of Peano&apos;s kernel theorem due to Ghizzetti and Ossicini [Quadrature Formulae, Birkhaüser, Basel, Switzerland, 1970] provides expressions, in the form of integrals, for the truncation errors in a variety of exponential-fitting formulae for oscillatory problems. In some circumstances this leads to an expression analogous to the Lagrange form of remainder; more generally the error can be expressed as a sum of two terms of Lagrange type. Our examples include formulae for quadrature and numerical differentiation, and linear multistep methods for ordinary differential equations. Two families of exponential-fitting quadrature formulae are investigated, one with evenly spaced abscissas and the other based on the philosophy of Gaussian quadrature. In particular, the integral representation can be used to determine the asymptotic rate of decay of the error with increasing frequency for a class of oscillatory integrands.
An adaptive real-time skin detector based on Hue thresholding: A comparison on two motion tracking methods
Authors: Farhad Dadgostar, Abdolhossein Sarrafzadeh
Venue: Pattern Recognition Letters (2006)

Various applications like face and hand tracking and image retrieval have made skin detection an important area of research. However, currently available algorithms are based on static features of the skin colour, or require a significant amount of computation. On the other hand, skin detection algorithms are not robust to deal with real-world conditions, like background noise, change of intensity and lighting effects. This situation can be improved by using dynamic features of the skin colour in a sequence of images. This article proposes a skin detection algorithm based on adaptive Hue thresholding and its evaluation using two motion detection technique. The skin classifier is based on the Hue histogram of skin pixels, and adapts itself to the colour of the skin of the persons in the video sequence. This algorithm has demonstrated improvement in comparison to the static skin detection method.
Time domain design of fractional differintegrators using least-squares
Authors: Ramiro S. Barbosa, J. A. Tenreiro Machado, Manuel F. Silva
Venue: Signal Processing (2006)

In this paper we propose the use of the least-squares based methods for obtaining digital rational approximations (IIR filters) to fractional-order integrators and differentiators of type sα, α ∈ R. Adoption of the Padé, Prony and Shanks techniques is suggested. These techniques are usually applied in the signal modeling of deterministic signals. These methods yield suboptimal solutions to the problem which only requires finding the solution of a set of linear equations. The results reveal that the least-squares approach gives similar or superior approximations in comparison with other widely used methods. Their effectiveness is illustrated, both in the time and frequency domains, as well in the fractional differintegration of some standard time domain functions.
Free hand stroke based virtual sketching, deformation and sculpting of NURBS surface
Authors: Han-wool Choi, Hee-joon Kim, Jeong-in Lee, Young-Ho Chai
Venue: Proceedings of the 2005 international conference on Augmented tele-existence (2005)

This research is to make a series of NURBS surfaces for the virtual 3D conceptual design and the styling process by applying arbitrary calligraphic strokes. The surface can be modified in real-time free form deformation and sculpting. The suggested algorithm is used to create 3D NURBS surfaces for styling object using free-hand strokes with the posture information of the input wand. The algorithm presented in this paper can help product designers in the conceptual design stage, even if he or she has no idea about the shape of a target product.
A comparison of feature selection methods for an evolving RSS feed corpus
Authors: Rudy Prabowo, Mike Thelwall
Venue: Information Processing and Management: an International Journal (2006)

Previous researchers have attempted to detect significant topics in news stories and blogs through the use of word frequency-based methods applied to RSS feeds. In this paper, the three statistical feature selection methods: x2, Mutual Information (MI) and Information Gain (I) are proposed as alternative approaches for ranking term significance in an evolving RSS feed corpus. The extent to which the three methods agree with each other on determining the degree of the significance of a term on a certain date is investigated as well as the assumption that larger values tend to indicate more significant terms. An experimental evaluation was carried out with 39 different levels of data reduction to evaluate the three methods for differing degrees of significance. The three methods showed a significant degree of disagreement for a number of terms assigned an extremely large value. Hence, the assumption that the larger a value, the higher the degree of the significance of a term should be treated cautiously. Moreover, MI and I show significant disagreement. This suggests that MI is different in the way it ranks significant terms, as MI does not take the absence of a term into account, although I does. I, however, has a higher degree of term reduction than MI and X2. This can result in loosing some significant terms. In summary, X2 seems to be the best method to determine term significance for RSS feeds, as X2 identifies both types of significant behavior. The X2 method, however, is far from perfect as an extremely high value can be assigned to relatively insignificant terms.
Coverage protocols for detecting fully sponsored sensors in wireless sensor networks
Authors: Azzedine Boukerche, Xin Fei
Venue: Proceedings of the 3rd ACM international workshop on Performance evaluation of wireless ad hoc, sensor and ubiquitous networks (2006)

Sensing coverage preserving is a hot research spot in the wireless sensor network. In order to simplify the research on such issue, the disk sensing range assumption is used in most coverage-aware algorithms. Based on such assumption some efficient central angle methods were proposed to identify fully sponsored sensors. However, the disk assumption is too strong in the real world and can not be held in high accurate scenarios. This paper investigates the coverage problem under both disk and simple polygon sensing range assumptions. An Association Sponsors Method (ASM) was described in order to enhance the central angle method while a new Intersection Point Method (IPM) were proposed for simple polygon sensing range. In order to provide an adjustable accuracy we devise an Unit Circle Test(UCT) method which can satisfy different accuracy requirements by adjusting test radius to tolerant holes. Our protocols were implemented on in the NS-2 simulator. Performance of our schemes were evaluated through a set of simulation experiments and compared to the Central Angle Method (CAM). Our protocols can efficiently identify fully covered sensors, discover holes (blind points), and archieve better quality results than CAM under both disk sensing range and simple polygon sensing range assumption. The performance and flexibility of IPM makes it a potential solution for applications that require a high coverage accuracy
Three electronic networks: three kinds of computer-mediated communication
Authors: Nancy G. Ishihara, Deborah Muscella, Katherine Frome Paget, Joseph Walters
Venue: Proceedings of the 1996 international conference on Learning sciences (1996)

School restructuring calls for change without tools. This paper describes innovative tools for professional development that use computer networking to establish communities of teacher scholars. The networks reviewed include the ATLAS Communities network, Kids Network, and LabNet. The paper describes how these networks operate, in what ways they deploy different kinds of communication devices, and what the researchers have learned about teacher change in these settings.
An Experimental Study of the Active Recommendation Mechanism Based Distributed Approximate Indexing in Unstructured P2P Networks
Authors: Jiaqing Luo, Shijie Zhou, Chunjiang Wu
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

In unstructured P2P systems, it is hard to find the desired files without distributing queries, since there is neither a centralized directory nor any precise control over the network topology or file placement. Many valuable efforts have been done towards improving search efficiency and increasing the scalability of unstructured P2P systems while guaranteeing endurable resource consumptions. In this paper, we purpose an Active Recommendation Mechanism (ARM) which aims to provide efficient searching services and enhance benign competitions in P2P networks. We also build a two-tier proxy architecture consisting of reputation evaluating proxies and content indexing proxies. Based on the ARM and the new architecture, we purpose a Distributed Approximate Indexing (DAI) method to support an efficient search without the need for a single centralized index host.
2005 Special issue: Interpreting hippocampal function as recoding and forecasting
Authors: William B Levy, Ashlie B. Hocking, Xiangbao Wu
Venue: Neural Networks (2005)

A model of hippocampal function, centered on region CA3, reproduces many of the cognitive and behavioral functions ascribed to the hippocampus. Where there is precise stimulus control and detailed quantitative data, this model reproduces the quantitative behavioral results. Underlying the model is a recoding conjecture of hippocampal computational function. The expanded conjecture includes a special role for randomization and, as recoding progresses with experience, the occurrence of sequence learning and sequence compression. These functions support the putative higher-order hippocampal function, i.e. production of representations readable by a linear decoder and suitable for both neocortical storage and forecasting. Simulations confirm the critical importance of randomly driven recoding and the neurocognitive relevance of sequence learning and compression. Two forms of sequence compression exist, on-line and off-line compression: both are conjectured to support neocortical encoding of context and declarative memory as described by Cohen and Eichenbaum (1993).
Data Distribution Algorithm of High-Speed Intrusion Detection system Based on Network Processor
Authors: Cheng Xu, Fei Yu, Zhenghui Dai, Guangxue Yue, Renfa Li
Venue: Proceedings of the Second International Conference on Semantics, Knowledge, and Grid (2006)

Because the processing speed of intrusion detection system can hardly keep pace with the high-speed development of network, improving the speed of intrusion detection has been the problem starved for solve. By adopting the network processor, a distribution algorithm based on protocol analysis has been realized. By delivering the captured data package to each detect node according to protocol types and then accomplishing the detection for data package through the collaboration of the detect nodes, the processing efficiency of the intrusion detection system has been improved as a whole.
Constructing Behavioral State Machine using Interface Protocol Specification
Authors: Osamu Shigo, Atsushi Okawa, Daiki Kato
Venue: Proceedings of the XIII Asia Pacific Software Engineering Conference (2006)

A behavior of an embedded system is designed by a state machine, which receives input events from externals through the interface, and sends output actions to externals through the interface. Thus the interface specification becomes major concerns in the system design. This paper describes a design method that defines the interface of a component by protocol state machines, and then systematically constructs a behavioral state machine of the component using the interface protocol state machines. The design support system developed to realize the method, which provides enough guidance for designing behavior state machine by using protocol specification, is also described.
Specification-Based Unit Testing of Publish/Subscribe Applications
Authors: Anton Michlmayr, Pascal Fenkam, Schahram Dustdar
Venue: Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems (2006)

Testing remains the most applied verification method for software systems. Typically, the behavior of such systems is evaluated against their informal or formal specifications. In this paper, we consider an architecture-driven approach to software testing. We support the argument that, in many cases, the difficulties in testing can be alleviated by optimizing the test methodology to leverage the architecture of the application under test. To support this claim, we present a test framework for publish/subscribe applications. This paper evaluates our initial steps in this regard. We focus on the design of our framework, and illustrate how to accomplish unit testing of publish/subscribe applications against LTL specifications, considering a real-world application as example.
Infrastructure for dynamic reconfigurable systems: choices and trade-offs
Authors: Leandro Möller, Rafael Soares, Ewerson Carvalho, Ismael Grehs, Ney Calazans, Fernando Moraes
Venue: Proceedings of the 19th annual symposium on Integrated circuits and systems design (2006)

Platform-based design is a method to implement complex SoCs, avoiding chip design from scratch. A promising evolution of platform-based design are MPSoC. Such generic architectures might furnish enough performance for several classes of embedded systems. An associated advantage of these architectures is flexibility at the software level. In principle, hardware is not flexible. Thus, dedicated IP blocks must be inserted before chip design, or enough area can be reserved for them when using reconfigurable blocks. Dynamic self-reconfigurable systems (DSRSs) introduce flexibility to hardware. In DSRSs, IP blocks are loaded according to application demand, reducing area, power consumption and system cost. An MPSoC based platform, associated with dynamic reconfiguration, provides both hardware and software flexibility. This paper has two main goals. First, to present the necessary infrastructure for DSRSs, identifying which components are required in these systems, such as a configuration controller, configuration ports and reconfigurable IP interfaces. The second objective is to discuss practical implementations choices and area-performance tradeoffs. The paper employs case studies to access the advantages and problems related to different implementations for the communication infrastructure (bus and NoC), the configuration controller (hardware and software) and IP interfaces (LUT and tristate based).
Reflection: Improving Research through Knowledge Transfer
Authors: Andre Oboler, Simon Lock, Ian Sommerville
Venue: Proceedings of the International Conference on Software Engineering Advances (2006)

It is through our mental models of the world that we understand it. Advances in science are nothing more than improvements to the model. This paper presents the development and refinement of our model of the research process as we seek to understand and improvement the process through three generations of case studies. We conclude by introducing an approach to help manage and plan research projects.
Assessment of the risk of occupational accidents using a &#x201c;fuzzy&#x201d; approach
Authors: S. Mur&#x00e8;, M. Demichela, N. Piccinini
Venue: Cognition, Technology and Work (2006)

This paper presents an assessment method of the risks of occupational accidents based on fuzzy logic. The purpose of this work was to create a methodological instrument that can semiquantitatively assess the risk of occupational accidents for different industrial and site activities and to identify the most efficient intervention measures that can be taken to reduce risks. This approach, which is new in the assessment of the risk of occupational accidents, allows qualitative, imprecise and in some cases contradictory data to be elaborated, as the data that describe an occupational accident usually are. The set-up analysis model therefore allows (1) an assessment to be made of the level of risk of a work phase and/or a work sector, (2) a verification and quantification to be made of the reduction of the risk after having adopted preventive and/or protective measures and (3) a priority of interventions to be established on the basis of the assessed risk levels. It can be seen how the method, here applied to a company producing industrial vehicle tyres, can be considered applicable for any type of company, with the only prerequisite of having a record of sufficient and homogeneous number of accidents so as to be able to correctly instruct the software and tune the reference parameters.