ppxscal/embedding_network huggingface dataset:
VLE-WFBus: A Scientific Workflow Bus for Multi e-Science Domains
Authors: Zhiming Zhao, Suresh Booms, Adam Belloum, Cees de Laat, Bob Hertzberger
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

In e-Science, a Grid environment enables data and computing intensive tasks and provides a new supporting infrastructure for scientific experiments. Scientific workflow management systems (SWMS) hide the integration details among Grid resources and allow scientists to prototype an experimental computing system at a high level of abstraction. However, the development of an effective SWMS requires profound knowledge on both application domains and the network programming, and is often time consuming and domain specific. Integrating mature implementations of domain specific SWMS improves reusability of workflow resources and promotes a generic framework for different e-Science domains. In this paper, we discuss different options to derive a generic workflow management system from domain specific implementations, and propose a workflow bus based solution, called VLE-WFBus. Legacy SWMSs are wrapped as federated components and are loosely coupled as one workflow system via a runtime infrastructure. An agent based prototype is presented; the integration among different workflow management systems has been demonstrated.
Wireless Sensor Networks for Clinical Information Systems: A Security Perspective
Authors: Jelena Misic, Vojislav B. Misic
Venue: Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems (2006)

High quality healthcare environment is an important aspect of modern society. We investigate security and networking architecture of clinical information system, with emphasis on the wireless hop which includes sensor networks and wireless local area or mesh networks. We review confidentiality and integrity polices for clinical information systems and discuss the feasible enforcement mechanisms over wireless hop.
IPv6 QoS testing on dual stack network
Authors: Christos Bouras, Dimitris Primpas, Kostas Stamos
Venue: Proceedings of the 2nd international workshop on Advanced architectures and algorithms for internet delivery and applications (2006)

This paper presents our work regarding the testing and evaluation of DiffServ QoS mechanisms over IPv6 and IPv4 in dual stack software based platforms. IPv6 introduces some additional features (like flow label) and the current support for QoS mechanisms in IPv6 implementations approaches the corresponding QoS support in IPv4. Therefore, a number of tests with DiffServ QoS mechanisms applied on IPv6 traffic have been carried out on a testbed created specifically for this purpose, in order to validate the mechanisms and evaluate the router's overall performance. Our evaluations cover the load incurred to the routing devices from the implementation of the mechanisms, the level of support for QoS IPv6 features and the comparison of performance over IPv4 and IPv6.
Flexible Algorithms: Overview of a Beginners' Course
Authors: R. B. Yehezkael
Venue: IEEE Distributed Systems Online (2006)

A Jerusalem College of Technology course teaches flexible algorithms to beginning computer science students. Students acquire an early awareness of parallelism; learn to read, execute, and write flexible algorithms; and learn to convert flexible algorithms to hardware block diagrams and sequential algorithms.
A cellular non-linear network for image fusion based on data regularization: Research Articles
Authors: Andrea Anzalone, Federico Bizzarri, Marco Storace, Mauro Parodi
Venue: International Journal of Circuit Theory and Applications (2006)

In this paper, a synthesis method developed in the last few years is applied to derive a cellular non-linear network (CNN) able to find an approximate solution to a variational image-fusion problem. The functional to be minimized is based on regularization theory and takes into account two complementary principles, namely, knowledge source corroboration and belief enhancement&#x002F;withdrawal, both typical of data-fusion approaches. The obtained CNN has been tested by simulations (i.e. by numerically integrating the circuit state equations) in some case studies. The quality of the results is good, as turns out from comparisons with some standard methods. Copyright &copy; 2006 John Wiley & Sons, Ltd.
Using camera motion to identify types of American football plays
Authors: M. Lazarescu, S. Venkatesh
Venue: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1 (2003)

This paper presents a method that uses camera motion parameters to recognise 7 types of American football plays. The approach is based on the motion information extracted from the video and it can identify short and long pass plays, short and long running plays, quarterback sacks, punt plays and kickoff plays. This method has the advantage that it is fast and it does not require player or ball tracking. The system was trained and tested using 782 plays and the results show that the system has an overall classification accuracy of 68%.
Computer Aided Photo-Real Modeling: Art or What?
Authors: Erdal Devrim Aydin, Togan Tong, S. Emre Pusat
Venue: Proceedings of the International Conference on Computer Graphics, Imaging and Visualisation (2006)

According to Aristo's mimesis theory, art is imitation of nature (real). An art product, says Aristo, is most valuable when it imitates the complete nature well. Even though the opinion of the condition that art must imitate nature has been forgotten since 19. century, it can be said that Aristo's description of art is still effective. With the aid of computer technology, it's possible to make models that can not be differentiated from the real. In this study, it will be argued that the computer aided photo-real models is whether art or not, on the guidance of the Aristo's theory of art.
Games for Controls
Authors: Krishnendu Chatterjee, Radha Jagadeesan, Corin Pitcher
Venue: Proceedings of the 19th IEEE workshop on Computer Security Foundations (2006)

We argue that games are expressive enough to encompass (history-based) access control, (resource) usage control (e.g., dynamic adaptive access control of reputation systems), accountability based controls (e.g., insurance), controls derived from rationality assumptions on participants (e.g., network mechanisms), and their composition. Building on the extensive research into games, we demonstrate that this expressive power coexists with a formal analysis framework comparable to that available for access control.
Enhancing children's learning in museums: a design-based research approach
Authors: Tony Hall, Liam Bannon, Luigina Ciolfi, Paul Gallagher, Kieran Ferris, Ruth Mulhern, Nora Hickey
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

This paper reports research, conducted in collaboration with the Hunt Museum, Limerick, Ireland, which explored the design and deployment of novel ubiquitous computing to augment children's learning in museums. The paper summarises a Design-Based Research process. The poster will display the final results of the research. The authors have presented the initial and interim findings at the previous two ICLS conferences (e.g. Hall et al, 2004).
Automated AI Planning and Code Pattern Based Code Synthesis
Authors: Jicheng Fu, Farokh B. Bastani, I-Ling Yen
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

The past decade has seen great progress in the development of embedded real-time systems, which are playing increasingly important roles in various application domains. However, the growing complexity of these systems has revealed the urgent need to develop advanced techniques to reduce the time-to-market as well as the overall system development cost. One method for achieving both of these goals is automated code synthesis combined with component based software development (CBSD). This enables the synthesizer to focus on generating the glue code needed to assemble an application from existing components. The main challenge is how to enable the synthesizer to recognize and generate complex conditional or loop statements. In this paper, a pattern-based code synthesis approach is enhanced to enable it to synthesize new loop statements. Specifically, we use an extended version of Graphplan to help the synthesizer to recognize and generate new loop statements. The paper proposes a planning domain model for code patterns and an automated code synthesis system, which integrates the enhanced AI planner with the Code Pattern Integration System (CPIS) to fully automate the code synthesis process.
2005 Special issue: Recall of memory sequences by interaction of the dentate and CA3: A revised model of the phase precession
Authors: John E. Lisman, Lucia M. Talamini, Antonino Raffone
Venue: Neural Networks (2005)

Behavioral and electrophysiological evidence indicates that the hippocampus has a special role in the encoding and recall of memory sequences. Importantly, the hippocampal phase precession, a phenomenon recorded as a rat moves through place fields, can be interpreted as cued recall of the sequence of upcoming places. The phase precession can be recorded in all hippocampal regions, but the role of each region has been unclear. Here, we suggest how the dentate and CA3 regions can work together to learn sequences, recall sequences, and generate the phase precession. Our proposal is constrained by information regarding synaptic plasticity rules, network connectivity, timing delays and theta/gamma oscillations.
Supporting Context-Aware Media Recommendations for Smart Phones
Authors: Zhiwen Yu, Xingshe Zhou, Daqing Zhang, Chung-Yau Chin, Xiaohang Wang, Ji Men
Venue: IEEE Pervasive Computing (2006)

A context-aware media recommendation platform, CoMeR, uses an N × M-dimensional model and a hybrid processing approach to support media recommendation, adaptation, and delivery for smart phones.The essence of the model is that it considers context information, ranging from user preference and situation to device and network capability, as input for both content and presentation recommendations. It then generates multidimensional output including content rating and media modality and format as a result of the recommendation.
Optimal CWmin selection for achieving proportional fairness in multi-rate 802.11e WLANs: test-bed implementation and evaluation
Authors: Vasilios A. Siris, George Stamatakis
Venue: Proceedings of the 1st international workshop on Wireless network testbeds, experimental evaluation characterization (2006)

We investigate the optimal selection of minimum contention window values to achieve proportional fairness in a multirate IEEE 802.11e test-bed. Unlike other approaches, the proposed model accounts for the contention-based nature of 802.11's MAC layer operation and considers the case where stations can have different weights corresponding to different throughput classes. Our test-bed evaluation considers both the long-term throughput achieved by wireless stations and the short-term fairness. When all stations have the same transmission rate, optimality is achieved when a station's throughput is proportional to its weight factor, and the optimal minimum contention windows also maximize the aggregate throughput. When stations have different transmission rates, the optimal minimum contention window for high rate stations is smaller than for low rate stations. Furthermore, we compare proportional fairness with time-based fairness, which can be achieved by adjusting packet sizes so that low and high rate stations have equal successful transmission times, or by adjusting the transmission opportunity (TXOP)limit so that high rate stations transmit multiple back-to-back packets and thus occupy the channel for the same time as low rate stations that transmit a single packet. The test-bed experiments show that when stations have different transmission rates and the same weight, proportional fairness achieves higher performance than the time-based fairness approaches, in terms of both aggregate utility and throughput.
Collaborative Personalised TV Programming
Authors: Jacob Sparre Andersen, Tofta Teld
Venue: Proceedings of the Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (2006)

We propose a set-top box design for giving the owner access to a number of TV channels adapted specifically to his/her interests. The channels are composed based on reviews distributed in RSS format [1, 2, 4]. The reviews can originate from other users of similar devices as well as from other sources. The device trains an artificial neural network [6] to prioritise the available programmes based on the available reviews and the feedback from the user. The proposal attempts to minimise the need for user interaction, as well as the need for centralised, critical services.
Phase-only multidimensional spatio-temporal analysis for moving sources
Authors: J.-P. Le Cadre, O. Tremois
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

The estimation of source motion parameters takes a considerable importance for many areas. Especially for underwater acoustic applications where a large amount of data is available. This paper deals with the estimation of source motion parameters directly from the spatio-temporal data. A general frame for a separate estimation of the spatial frequencies and spatial frequency-rate is presented, avoiding thus the dramatic interference problems. One basic idea consists in using basically the relative phase shifts without any consideration of source powers. The other consists in considering interpolation as a basic tool for spatio-temporal analysis.
Structuring Semantic Web ITS
Authors: Adriana da Silva Jacinto, Jose Maria Parente de Oliveira
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

Most of Intelligent Tutoring Systems (ITS) using Semantic Web and Ontology concepts put their focus on learning objects (LO) aspects and, generally, do not include a clear representation of a pedagogical model. The relationship among all the system architecture's components and how the use of Semantic Web and Ontology can improve the interoperability among these components are other aspects not clearly addressed. As a way to address these drawbacks, an architecture with a clear separation of concerns of its components, with each component represented by a specific ontology, has been used. Despite only a prototype has been implemented, it has been possible to visualize the soundness of the chosen approach.
Semantic and Rule Based Event-driven Services-Oriented Agricultural Recommendation System
Authors: Zakir Laliwala, Vikram Sorathia, Sanjay Chaudhary
Venue: Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems (2006)

Agricultural Information Systems (AIS) are rich sources of information being created, maintained and published for the benefit of farmers and agroprofessionals. Ongoing research has generated knowledge regarding best practices in various aspects for farming practices to improve the yield. On the other hand, advancements in information technology and sensor technology have enabled new avenues of information for informed decisions and to utilize near real-time monitoring of data to provide effective recommendations. Even in this scenario, finding, extracting and integrating information from distributed heterogeneous sources of AIS and assimilating with realtime events like change in climatic conditions, change in market etc have raised interesting issues. We need a mechanism to collect and integrate information from scattered sources according to events and to notify the end-users with precise recommendations according to user context, location and requirements. In this paper, we propose a semantic and rule based event-driven Services- Oriented Architecture to facilitate the seamless and meaningful information integration and interoperation of distributed and heterogeneous web hosted AIS services to deliver personalized recommendation driven by real-time events and user preferences.
Clustering Multimedia Data Using Time Series
Authors: Vit Niennattrakul, Chotirat Ann Ratanamahatana
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01 (2006)

After the generation of multimedia data turned digital, an explosion of interest in their data storage, retrieval, and processing has drastically increased. This includes videos, images, and audios, where we now have higher expectations in exploiting these data at hands. Typical manipulations are in some forms of video/image/audio processing, including automatic speech recognition, which require fairly large amount of storage and are computationally intensive. In this work, we will demonstrate how these multimedia data can be reduced to a more compact form, i.e., time series representation, without losing the features of interest. This approach can be extensively applied to a variety of applications and domains, such as object tracking in video data, image profiles recognition, classification, etc. We will demonstrate the utility of our approach in the task of clustering multimedia data using time series representation, pointing out a wide range of research and applications, including voice/face recognition, fingerprinting, and other types of biometric authentication, which allow considerable amount of reduction in computational effort and storage space.
The Versioning System Balancing Data Amount and Access Frequency on Distributed Storage System
Authors: Mana Nakano, Dai Kobayashi, Akitsugu Watanabe, Toshihiro Uehara, Ryo Taguchi, Haruo Yokota
Venue: Proceedings of the 21st International Conference on Data Engineering Workshops (2005)

In this paper, a method of balancing both access frequency and data amount for a distributed parallel storage system under version management is discussed. We assume the version management method keeps the latest version of file and a number of differential information sets to access previous versions. Since the access frequency for an aged version is tend to be lower than that for the latest version, we control the access frequency distribution by the placement of the latest versions, while the data amount distribution is managed by the placement of the differential information whose size is enough small to adjust the subtle difference of data amount. We propose a distributed directory structure and data placement algorithm, and evaluate its effect on the access frequency and data amount distribution.
Motivate Them to Communicate
Authors: Dorin Mircea Popovici, Cyril Septseault, Ronan Querrec
Venue: Proceedings of the 2006 International Conference on Cyberworlds (2006)

In the following, by considering the communication and the interaction within collaborative multi-cultural virtual environments as the most important motivational dimensions of user (children in particular) experience, we discuss the use of two metaphors, the virtual theater and the virtual classroom, in order to support collaborative learning. The educational virtual environment is presented as a shared informational agent-based space from both modeling (structure and evolution point of views) and technical (implementation) perspectives. The cooperation within the environment is preserved by interfering with virtual actors. Current implementations are based on a client-server architecture. VEHA API is used for environment description, VRML, C++, and Java are used as modeling and programming languages, and AReVi as graphical rendering and interaction API. Supplementary ARToolkit is used for hand-made marker-based interaction.
Exploiting Data Mining Techniques for Improving the Efficiency of a Supply Chain Management Agent
Authors: Andreas L. Symeonidis, Vivia Nikolaidou, Pericles A. Mitkas
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

Supply Chain Management (SCM) environments are often dynamic markets providing a plethora of information, either complete or incomplete. It is, therefore, evident that such environments demand intelligent solutions, which can perceive variations and act in order to achieve maximum revenue. To do so, they must also provide some sophisticated mechanism for exploiting the full potential of the environments they inhabit. Advancing on the way autonomous solutions usually deal with the SCM process, we have built a robust and highly-adaptable mechanism for efficiently dealing with all SCM facets, while at the same time incorporating a module that exploits data mining technology in order to forecast the price of the winning bid in a given order and, thus, adjust its bidding strategy. The paper presents our agent, Mertacor, and focuses on the forecasting mechanism it incorporates, aiming to optimal agent efficiency.
Combining hands-on, spreadsheet and discrete event simulation to teach supply chain management
Authors: Jeffrey Adams, Jerry Flatto, Leslie Gardner
Venue: Proceedings of the 37th conference on Winter simulation (2005)

This paper describes the effect of combining hands-on simulation with spreadsheets and discrete event simulations. These tools enhance the student learning process of supply chain management principles. Active, hands-on learning is one of the most effective types of learning but is very time consuming. Supplementing it with computer simulation enhances the hands-on learning to cover more material in less time making an efficient and effective learning experience.
GECO---linear visualization for comparative genomics
Authors: C. T. Kuenne, R. Ghai, T. Chakraborty, T. Hain
Venue: Bioinformatics (2007)

Summary: In order to understand and interpret phylogenetic and functional relationships between multiple prokaryotic species, qualitative and quantitative data must be correlated and displayed. GECO allows linear visualization of multiple genomes using a client/server based approach by dynamically creating .png- or .pdf-formatted images. It is able to display ortholog relations calculated using BLASTCLUST by color coding ortholog representations. Irregularities on the genomic level can be identified by anomalous G/C composition. Thus, this software will enable researchers to detect horizontally transferred genes, pseudogenes and insertions/deletions in related microbial genomes. Availability: http://bioinfo.mikrobio.med.uni-giessen.de/geco2/GecoMainServlet Contact: Carsten.Kuenne@mikrobio.med.uni-giessen.de
JOYCE: a next generation personal computer
Authors: W. R. Franta, M. E. Aycock, C. Boylan, B. Kvam, S. Levy, G. Stone
Venue: ACM SIGSMALL Newsletter (1981)

This paper describes the hardware/software design decisions, cost, and development status the JOYCE personal computer. The features of the system are examined in light of scheduled applications such as CAI (a stand alone PLATO system), database management, electronic mail, and other network communication facilities. Plans for continued system development are outlined.Our experiences relating to the acquisition of the components necessary for the realization of JOYCE, including delivery delays, vendor promises, and the gap between vendor product actual operation and documented operational descriptions will be detailed.