ppxscal/embedding_network huggingface dataset:
A Multi-channel End System Multicasting Scheme on P2P Cluster Overlay
Authors: Yinghua Ma, Richard Chbeir, Kokou Yetongnon, Guiyang Su
Venue: Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System (2007)

In the last decade, more and more media data are produced and shared over Internet. To send data on Internet, casting techniques are commonly used. Attempting to provide scalable applications, many approaches of End System Multicast (ESM) have been recently designed over Peer-to-Peer (P2P) overlays. Cluster overlay is one of scalable P2P overlays in which peers are organized into groups and are not aware of the whole system. In this paper, we address a multi-channel end system multicasting scheme based on cluster overlay. Each multicast group is called a channel. Peers can switch from one channel to another. Super peers in cluster overlay manage peers and channels transferring in its cluster. Data duplicating and forwarding are carried out by peers. Heads of the cluster overlay help peers to find nearby peers who have joined in the channel in-demand to speed up channel switching.
A Unified Framework for Numerical and Combinatorial Computing
Authors: John R. Gilbert, Steve Reinhardt, Viral B. Shah
Venue: Computing in Science and Engineering (2008)

A rich variety of tools help researchers with high-performance numerical computing, but few tools exist for large-scale combinatorial computing. The authors describe their efforts to build a common infrastructure for numerical and combinatorial computing by using parallel sparse matrices to implement parallel graph algorithms.
Tiered Models of Spatial Language Interpretation
Authors: Robert J. Ross
Venue: Proceedings of the international conference on Spatial Cognition VI: Learning, Reasoning, and Talking about Space (2008)

In this paper we report on the implementation and evaluation of an interactive model of verbal route instruction interpretation. Unlike in previous works, this approach takes a generalised plan construction view of the interpretation process which sees the elements of verbal route instructions as context enhanced specifications of physical action which move an agent through a mental or physical search space. We view such an approach as essential for effective dialogic wayfinding assistance. The model has been developed within a modular framework of spatial language production and analysis which we have developed to explore different reasoning and representation facilities in the spatial language cognition process. We describe the developed cognitive spatial model, the interpretation of individual actions based on explicit linguistic and extra-linguistic spatial context, and the interactive plan construction process which builds these individual processes into a route interpretation mechanism. Finally, we report on a recent evaluation study that was conducted with an initial implementation of the described models.
A Dynamic Trust Model for the Multi-agent Systems
Authors: Bin li, Maolin Xing, JunWu Zhu, Tongshen Che
Venue: Proceedings of the 2008 International Symposiums on Information Processing (2008)

Trust and reputation play important role in ensuring good interactions among agents. However, existing trust models are ineffective to provide adequate reaction to quick change in the agent’s behavior, and may suffer from the strategically altering behavior. To cope with such strategic behavior of the agent, this paper presents a dynamic trust model. In this paper, we introduce the dynamic trust metric coping with strategically altering and oscillating behaviors of agent providing services. Further, we give an effective approach to filter out inaccurate reports of witness, including the witness who strategically alters behavior in providing reports. Theoretic analysis and simulation show that, comparing with existing trust models, our model is more effective to cope with strategic change in the behavior of agent.
Finding face features in color images using fuzzy hit-or-miss transform
Authors: Desislava Dimitrova, Antony Popov
Venue: Proceedings of the 9th WSEAS International Conference on Fuzzy Systems (2008)

This paper considers the problem of finding facial features in frontal color images. For a given image, our method at first detects skin regions on it using color segmentation in a 2D plane of selected color space (HSV, YES, YCrCb or normalized RGB), and after that generates face candidates. Then, we apply methods of fuzzy mathematical morphology to obtain face candidates in order to find a particular feature - a right eyebrow. A computer implementation in MATLAB is made for experimentation and visual results.
Increased input voltage range for signal transmission through nonlinear compensation in analog optical fiber links
Authors: Joaquín Rodríguez, José Velázquez, Julio Montero, Raúl Garduno
Venue: Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science (2008)

This paper introduces an improved measuring system based on fiber optic transmission links with nonlinear dynamic compensation to increase the input voltage measuring ranges. The transmitter-receiver system as applied in a high-power mid-voltage testing laboratory with highly aggressive EMI is presented. Optical fiber links are used due to their galvanic insulation and EMI immunity properties. The dynamic range compensation system is based on non-linear circuits to accommodate the input dynamic range of a voltage controlled oscillator, which is used to produce a pulsed FM modulation over the optical fiber. This work demonstrates that the optical fiber approach provides a unique, electrically isolated, lightning-proof analog data transmission system, for remote measuring systems in high power test lab applications.
Flash Storage Today
Authors: Adam Leventhal
Venue: Queue (2008)

Can flash memory become the foundation for a new tier in the storage hierarchy? The past few years have been an exciting time for flash memory. The cost has fallen dramatically as fabrication has become more efficient and the market has grown; the density has improved with the advent of better processes and additional bits per cell; and flash has been adopted in a wide array of applications. The flash ecosystem has expanded and continues to expandespecially for thumb drives, cameras, ruggedized laptops, and phones in the consumer space.
Harnessing Models for Policy Conflict Analysis
Authors: Steven Davy, Brendan Jennings
Venue: Proceedings of the 1st international conference on Autonomous Infrastructure, Management and Security: Inter-Domain Management (2007)

Policy conflict analysis processes based solely on the examination of policy language constructs can not readily discern the semantics associated with the managed system for which the policies are being defined. However, by developing analysis processes that can link the constructs of a policy language to the entities of an information model, we can harness knowledge relating to relationships and associations, constraint information, behavioural specifications codified by finite state machines, and extensive semantic information expressed via ontologies to provide powerful policy analysis processes.
Low jitter guaranteed-rate communications for cluster computing systems
Authors: Ted H. Szymanski, Dave Gilbert
Venue: International Journal of Communication Networks and Distributed Systems (2008)

Low latency high bandwidth networks are key components in large scale computing systems. Existing systems use dynamic algorithms for routing and scheduling cell transmissions through switches. Due to stringent time requirements, dynamic algorithms have suboptimal performances, which limit throughputs to well below peak capacity. It is shown that Guaranteed-Rate communications can be supported over switch-based networks with 100% throughput and very low delay jitter, provided that each switch has the capacity to buffer a small number of cells per flow. An algorithm is used to reserve guaranteed bandwidth and buffer space in the switches, resulting in the specification of a doubly stochastic traffic rate matrix for each switch. Each switch schedules the Guaranteed-Rate traffic for transmission according to a resource reservation algorithm based on Recursive Fair Stochastic Matrix Decomposition. Very low delay jitters can be achieved among all simultaneous flows while simultaneously achieving 100% throughput in each switch. When receive buffers of bounded depth are used to filter residual network jitter at the destinations, end-to-end traffic flows can be delivered with essentially zero delay jitter. The algorithm is suitable for the switch-based networks found in commercial supercomputing systems such as Fat Trees, and for silicon Networks-on-a-Chip.
LCMS: design, development and implementing experience
Authors: Lejla Abazi-Bexheti
Venue: Proceedings of the WSEAS International Conference on Applied Computing Conference (2008)

Finding a solution for e-learning is one of the main concerns of modern universities. The solution of this complex issue acquires broader approach included in the strategy of the institution. From the technical point of view it means building e-learning platform - e-learning system. E-learning platforms are applications used for delivery of learning content and facilitation of learning process. They are developed for administration and teaching in tertiary education. This software enables the administrators and lecturers to treat enrolment data electronically and offer electronic access to course materials. In addition to managing the administrative functions of online learning, some systems helps create, reuse, locate, deliver, manage, and improve learning content. These systems are called Learning Content Management Systems (LCMS). As part of the research project team, which aims to develop software for Learning Content Management System at SEE University, we primarily had to select the features that would cover our needs and also comply with the actual trends in this area and then design and develop the system. In this paper we present the in house development of an LCMS for South East European University, its architecture, conception and strengths.
Model-Based Approaches for Dependability in Ad-Hoc Mobile Networks and Services
Authors: Gergely Pintér, Zoltán Micskei, András Kövi, Zoltán Égel, Imre Kocsis, Gábor Huszerl, András Pataricza
Venue: Architecting Dependable Systems V (2008)

This paper presents our results in the field of Model Driven Design (MDD) gained in dependable, distributed application development communicating over ad-hoc mobile networks. The context of the discussion is the Highly Dependable IP-based Networks and Services (Hidenets) research project. Our efforts involve (i) construction of the platform's UML model, (ii) construction of a metamodel illustrating the intended organization of applications running on the platform, (iii) defining a UML profile on the basis of the metamodel facilitating the integration of the basic services provided by the Hidenets platform to support high availability of the application and (iv) providing a set of dependability enforcing design patterns to support the implementation of applications built for the Hidenets platform using our profile. The paper highlights the benefits of applying model-based approaches in the context of complex dependability frameworks.
Network Forensics on Mobile Ad-Hoc Networks
Authors: Akira Otaka, Tsuyoshi Takagi, Osamu Takahashi
Venue: Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III (2008)

A variety of countermeasures for every eventuality are more important than maintaining a mechanism that does not suffer any kind of assaults in mobile adhoc networks. From the experimental results, the ratio of the number of evidence packets and the total number of nodes was confirmed with the ratios of the transmission range and the objective range. The number of the evidence packets is controlled by the level of reliability. All nodes in mobile ad hoc networks need to be free from all suspicions.
A Note on k-Colorability of P5-Free Graphs
Authors: Chính T. Hoàng, Marcin Kamiński, Vadim Lozin, Joe Sawada, Xiao Shu
Venue: Proceedings of the 33rd international symposium on Mathematical Foundations of Computer Science (2008)

We present a polynomial-time algorithm determining whether or not, for a fixed k, a P 5-free graph can be k-colored. If such a coloring exists, the algorithm will produce one.
Managing Contracts in Pleiades Using Trust Management
Authors: Christoffer Norvik, John P. Morrison, Dan C. Marinescu, Chen Yu, Gabriela M. Marinescu, Howard Jay Siegel
Venue: Proceedings of the 5th international conference on Autonomic and Trusted Computing (2008)

The advent of multicore technologies is set to significantly increase the average compute power per machine. Effective and efficient exploitation of this power poses unprecedented challenges and opportunities. The Pleiades system, currently under development in UCF, CSU and UCC [1], proposes the construction of a distributed, heterogeneous, and secure marketplace for trading and administer these resources whose owners sign up to various quality of service (QoS) contracts, in return for financial and in-kind payment. This paper presents a very important part of the Pleiades system: addressing the role of Trust Management (TM) in the generation and enforcement of these contracts. The approach taken significantly reduces the overhead that is traditionally assumed with cryptographic solutions, by the dynamic and a priory creation of a secure environment in which these expensive checks associated with cryptographic solutions, are not required.
Investigation of the conflict between the driver and a vehicle steering assist controller
Authors: Liang-Kuang Chen, Bo-Jun Shieh
Venue: Proceedings of the 10th WSEAS International Conference on Automatic Control, Modelling & Simulation (2008)

A serial vehicle steering assist controller is designed using variable structure model reference adaptive control. Due to the variation in human driver behavior, the stability of the compensated system is not guaranteed and conflict between the driver and the steering assist controller may exist. A model predictive control based driver model is employed to represent the variation in driver intention, and the conflict is observed in computer simulations. A simple decision making algorithm is implemented as a preliminary attempt, and the conflict situations are successfully avoided when the driver model is a performant steering controller. Future work of this research includes the revision of the decision making algorithm to incorporate the driver state and the transitions of controller states using fuzzy logics.
Extraction and temporal segmentation of multiple motion trajectories in human motion
Authors: Junghye Min, Rangachar Kasturi, Octavia Camps
Venue: Image and Vision Computing (2008)

A new method for extraction and temporal segmentation of multiple motion trajectories in human motion is presented. The proposed method extracts motion trajectories generated by body parts without any initialization or any assumption on color distribution. Motion trajectories are very compact and representative features for activity recognition. Tracking human body parts (hands and feet) is inherently difficult because the body parts which generate most of the motion trajectories are relatively small compared to the human body. This problem is overcome by using a new motion segmentation method: at every frame, candidate motion locations are detected and set as significant motion points (SMPs). The motion trajectories are obtained by combining these SMPs and the color-optical flow based tracker results. These motion trajectories are inturn used as features for temporal segmentation of specific activities from continuous video sequences. The proposed approach is tested on actual ballet step sequences. Experimental results show that the proposed method can successfully extract and temporally segment multiple motion trajectories from human motion.
Ultrasound-aided pedestrian dead reckoning for indoor navigation
Authors: Carl Fischer, Kavitha Muthukrishnan, Mike Hazas, Hans Gellersen
Venue: Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments (2008)

Ad hoc solutions for tracking and providing navigation support to emergency response teams is an important and safety-critical challenge. We propose a navigation system based on a combination of foot-mounted inertial sensors and ultrasound beacons. We evaluate experimentally the performance of our dead reckoning system in different environments and for different trail topologies. The inherent drift observed in dead reckoning is addressed by deploying ultrasound beacons as landmarks. We study through simulations the use of the proposed approach in guiding a person along a defined path. Simulation results show that satisfactory guidance performance is achieved despite noisy ultrasound measurements, magnetic interference and uncertainty in ultrasound node locations. The models used for the simulations are based on experimental data and the authors' experience with actual sensors. The simulation results will be used to inform future development of a full real time system.
3D Perception and Environment Map Generation for Humanoid Robot Navigation
Authors: Jens-Steffen Gutmann, Masaki Fukuchi, Masahiro Fujita
Venue: International Journal of Robotics Research (2008)

A humanoid robot that can go up and down stairs, crawl underneath obstacles or simply walk around requires reliable perceptual capabilities for obtaining accurate and useful information about its surroundings. In this work we present a system for generating three-dimensional (3D) environment maps from data taken by stereo vision. At the core is a method for precise segmentation of range data into planar segments based on the algorithm of scan-line grouping extended to cope with the noise dynamics of stereo vision. In off-line experiments we demonstrate that our extensions achieve a more precise segmentation. When compared to a previously developed patch-let method, we obtain a richer segmentation with a higher accuracy while also requiring far less computations. From the obtained segmentation we then build a 3D environment map using occupancy grid and floor height maps. The resulting representation classifies areas into one of six different types while also providing object height information. We apply our perception method for the navigation of the humanoid robot QRIO and present experiments of the robot stepping through narrow space, walking up and down stairs and crawling underneath a table.
Testing Careflow Process Execution Conformance by Translating a Graphical Language to Computational Logic
Authors: Federico Chesani, Paola Mello, Marco Montali, Sergio Storari
Venue: Proceedings of the 11th conference on Artificial Intelligence in Medicine (2007)

Careflow systems implement workflow concepts in the clinical domain in order to administer, support and monitor the execution of health care services performed by different health care professionals and structures. In this work we focus on the monitoring aspects and propose a solution for the conformance verification of careflow process executions.Given a careflow model, we have defined an algorithm capable of translating it to a formal language based on computational logic and abductive logic programming in particular. The main advantage of this formalism lies in its operational proof-theoretic counterpart, which is able to verify the conformance of a given careflow process execution (in the form of an event log) w.r.t. the model.The feasibility of the approach has been tested on a case study related to the careflow process described in the cervical cancer screening protocol.
Workshop on Graph Computation Models
Authors: Mohamed Mosbah, Annegret Habel
Venue: Proceedings of the 4th international conference on Graph Transformations (2008)

A variety of computation models have been developed using graphs and graph transformations. These include models for sequential, distributed, parallel or mobile computation. A graph may represent, in an abstract way, the underlying structure of a computer system, or it may stand for the computation steps running on such a system. In the former, the computation can be carried on the corresponding graph, implying a simplification of the complexity of the system. The aim of the workshop is to bring together researchers interested in all aspects of computation models based on graphs, and their applications. A particular emphasis will be made for models and tools describing general solutions.
Description Logic to Model a Domain Specific Information Retrieval System
Authors: Saïd Radhouani, Gilles Falquet, Jean-Pierre Chevalletinst
Venue: Proceedings of the 19th international conference on Database and Expert Systems Applications (2008)

In professional environments which are characterized by a domain (Medicine, Law, etc.), information retrieval systems must be able to process precise queries, mostly because of the use of a specific domain terminology, but also because the retrieved information is meant to be part of the professional task (a diagnosis, writing a law text, etc.). In this paper we address the problem of solving domain-specific precise queries. We present an information retrieval model based on description logics to represent external knowledge resources and provide expressive document indexing and querying.
On Optimal Quadratic Regulation for Discrete-Time Switched Linear Systems
Authors: Wei Zhang, Jianghai Hu
Venue: Proceedings of the 11th international workshop on Hybrid Systems: Computation and Control (2008)

This paper studies the discrete-time linear quadratic regulation problem for switched linear systems (DLQRS) based on dynamic programming approach. The unique contribution of this paper is the analytical characterizations of both the value function and the optimal control strategies for the DLQRS problem. Based on the particular structures of these analytical expressions, an efficient algorithm suitable for solving an arbitrary DLQRS problem is proposed. Simulation results indicate that the proposed algorithm can solve randomly generated DLQRS problems with very low computational complexity. The theoretical analysis in this paper can significantly simplify the computation of the optimal strategy, making an NP hard problem numerically tractable.
Evolutionary Prediction of Online Keywords Bidding
Authors: Liwen Hou, Liping Wang, Jinggang Yang
Venue: Proceedings of the 9th international conference on E-Commerce and Web Technologies (2008)

Online keywords bidding as a new business model for search engine market facilitates the prosperity of internet economy as well as attracts myriad small business to directly target their customers. In order to effectively manage each advertising campaign the manager needs to figure out smart strategy to bid. This paper successively developed two models (static and dynamic) with four crucial variants at keyword bidding (bid, rank, click through and impression) based on the bayesian network to assist the prediction of bidding. Herein dynamic model, evolved from the static model, takes the influence of click through on the last period into account and extends the strategy space. Empirical study by aid of data from the largest online travel agency in China is carried out to test both models and the results indicate that they are effective while the dynamic model is more attractive in terms of prediction accuracy. Finally further research directions along this paper is shown.