ppxscal/embedding_network huggingface dataset:
Multivariate Survival Analysis (II): An Overview of Multi-State Models in Biomedicine and Engineering Reliability
Authors: Zhanshan (Sam) Ma, Axel W. Krings, Robert E. Hiromoto
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01 (2008)

In this article, we review one of the two major models in multivariate survival analysis, the multi-state model (the other is the shared frailty model). Just like the whole multivariate survival analysis (MSA) subject, this category of models has been advanced mainly in biomedical research and is still in the development stage. Since similar models based on Markov chains have been widely used in engineering reliability, we try to put this review in the perspective of both biomedicine and engineering reliability, but with a focus on biomedicine applications. Although it is concise due to page limit, this overview covers the whole spectrum of multi-state modeling evolution, from progressive models, homogenous Markov process, general Markov process, Markov extensions (non-Markov) to the general multi-state modeling. There is a very encouraging notion that it is possible to estimate transition hazards and probabilities via non- or semi-parametric approaches, even if the model is formulated as non-Markov general multi-state models. In addition, we also briefly discuss the flow-graph model, which provides a powerful tool to analyze multi-state time-to-event data expressed with semi-Markov models.
Comparing Source Codes Generated by CASE Tools with Hand Coded
Authors: Denis S. Loubach, Diogo B. Ramos, Osamu Saotome, Adilson M. da Cunha
Venue: Proceedings of the Fifth International Conference on Information Technology: New Generations (2008)

This paper presents a comparison between C and C++ source code automatically generated by CASE tools, and those hand made. In order to compare these two different kinds of implementation, some software static metrics were chosen, due to its soundness and confidence when applied to source code evaluation. A critical real time embedded software for a student satellite onboard computer was considered. Finally, this work points to some preliminary differences between those two implementations, related to software quality applied to an aerospace software prototype.
Resource management using multiple feedback loops in soft real-time distributed object systems
Authors: Vana Kalogeraki, P. M. Melliar-Smith, L. E. Moser, Y. Drougas
Venue: Journal of Systems and Software (2008)

This paper describes a Resource Management System for a soft real-time distributed object system that is based on a three-level feedback loop. The Resource Management System employs a profiling algorithm that monitors the usage of the resources, a least laxity scheduling algorithm that schedules the methods of the tasks, and hot spot and cooling algorithms that allocate and migrate objects to balance the loads on the resources. The Resource Management System consists of a single Resource Manager for the distributed system, and a Profiler and a Scheduler located on each of the processors in the distributed system.
Filters Eliminating Input Impedance of Input Current Terminal for High-Speed Analog Signal Processing
Authors: Ivo Lattenberg, Kamil Vrba
Venue: Proceedings of the Seventh International Conference on Networking (2008)

The paper describes a field of filters for high-speed analog signal processing, whose transfer function is affected by the existence of real input impedances of current active elements. The influence of this input impedance is analyzed in detail. This is indicated by both the additive error and the multiplicative error. Novel filter circuits, which partially eliminate the influence of this input impedance, are designed.
Reliability Analysis using Graphical Duration Models
Authors: Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray
Venue: Proceedings of the 2008 Third International Conference on Availability, Reliability and Security (2008)

Reliability analysis has become an integral part of system design and operating. This is especially true for systems performing critical tasks such as mass transportation systems. This explains the numerous advances in the field of reliability modelling. More recently, some studies involving the use of Probabilistic Graphical Models (PGMs), a.k.a. Bayesian Networks (BNs), have been proved relevant to represent complex systems and perform reliability studies. This paper aims to describe a Dynamic PGM (DPGM) designed to model stochastic degradation processes, allowing any kind of state sojourn distributions along with an accurate context description. We meet these objectives using a specific DPGM, namely a Graphical Duration Model (GDM). In this article, we give qualitative and quantitative descriptions of the proposed model and describe how to compute the reliability of the underlying system and some of its classic related metrics. Finally, we illustrate our approach by applying a GDM in order to perform the survival analysis of railway track supposed to be subjected to one context variable.
Supply Chain Simulation in the ECLIPS Project
Authors: Yuri Merkuryev, Galina Merkuryeva, Jonas Hatem, Bram Desmet
Venue: Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS) (2008)

ECLIPS is a European research project addressing the state-of-the-art in supply chain management. It is aimed at minimization of total inventories through the whole supply chain, taking into account a product life-cycle, from its introduction into market, through a maturity phase, and finally to an end-of-life phase. In order to achieve this goal, simulation is used intensively in the ECLIPS project. From one hand, it supports supply chain management processes (e.g., optimization and decision making), thus providing conditions for minimization of inventories. From another hand, simulation provides a platform for testing algorithms and tools, being developed within the project. The paper discusses different aspects of using simulation in the ECLIPS project.
Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals
Authors: Bayram Akdemir, Sadık Kara, Kemal Polat, Ayşegül Güven, Salih Güneş
Venue: Artificial Intelligence in Medicine (2008)

Objective: This paper presents a new method based on combining principal component analysis (PCA) and adaptive network-based fuzzy inference system (ANFIS) to diagnose the optic nerve disease from visual-evoked potential (VEP) signals. The aim of this study is to improve the classification accuracy of ANFIS classifier on diagnosis of optic nerve disease from VEP signals. With this aim, a new classifier ensemble based on ANFIS and PCA is proposed. Methods and material: The VEP signals dataset include 61 healthy subjects and 68 patients suffered from optic nerve disease. First of all, the dimension of VEP signals dataset with 63 features has been reduced to 4 features using PCA. After applying PCA, ANFIS trained using three different training-testing datasets randomly with 50-50% training-testing partition. Results: The obtained classification results from ANFIS trained separately with three different training-testing datasets are 96.87%, 98.43%, and 98.43%, respectively. And then the results of ANFIS trained with three different training-testing datasets randomly with 50-50% training-testing partition have been combined with three different ways including weighted arithmetical mean that proposed firstly by us, arithmetical mean, and geometrical mean. The classification results of ANFIS combined with three different ways are 98.43%, 100%, and 100%, respectively. Also, ensemble ANFIS has been compared with ANN ensemble. ANN ensemble obtained 98.43%, 100%, and 100% prediction accuracy with three different ways including arithmetical mean, geometrical mean and weighted arithmetical mean. Conclusion: These results have shown that the proposed classifier ensemble approach based on ANFIS trained with different train-test datasets and PCA has produced very promising results in the diagnosis of optic nerve disease from VEP signals.
APE 2007: Pre-conference day - &ldquo;Embracing Change&rdquo; Workshop: University presses and open access: Presentation: Isabella Meinecke, Hamburg University Press, State and University Library of Hamburg
Authors: I. Meinecke
Venue: Information Services and Use (2007)

The situation of academic publishing is changing. Rises in prices, decreasing libraries' budgets, increasing academic output, and new possibilities of publishing in the digital age correspond to the need of new strategies in publishing. In Germany, recently founded university presses are considered as one response to the challenge. Associated with academic libraries, they support open access publishing and offer print on demand. The workshop was about to explore the role of university presses and open access in present and future academic publishing.
A biology-inspired model for the automatic dissemination of information in P2P networks
Authors: C. Guéret, N. Monmarché, M. Slimane
Venue: Multiagent and Grid Systems (2007)

The Personal Intelligent Agents Framework (PIAF) is a framework developped in the context of research on smart web browsers. Compared to a classical browser, this smart browser should help the user to find and share information using the Internet network. This paper presents algorithms used in PIAF for the selective dissemination of information in a P2P network. They use ideas from epidemic systems and are based on an artificial ant colony model. The main contribution made to the domain of selective information diffusion is the use of estimated profiles defined by pheromone trails associated to connections between peers.
Some types of generalized fuzzy filters of BL-algebras
Authors: Jianming Zhan, Yang Xu
Venue: Computers Mathematics with Applications (2008)

The aim of this paper is to introduce the notions of interval valued (@?,@?@?q)-fuzzy Boolean (implicative, positive implicative and fantastic) filters in BL-algebras and to investigate some related properties. Some characterizations of these generalized fuzzy filters are derived. Finally, the relations among these generalized fuzzy filters are discussed. It is proved that an interval valued (@?,@?@?q)-fuzzy filter in BL-algebras is an interval valued (@?,@?@?q)-fuzzy Boolean (implicative) filter if and only if it is both an interval valued (@?,@?@?q)-fuzzy positive implicative filter and an interval valued (@?,@?@?q)-fuzzy fantastic filter.
A Peer-to-Peer Approach for Mobile File Transfer in Opportunistic People Networks
Authors: Ling-Jyh Chen, Ting-Kai Huang
Venue: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications (2008)

With wireless technologies extending to every part of our daily lives, mobile networking applications are becoming increasingly popular for accessing the Internet. In this paper, we propose a peer-to-peer approach, called M-FTP, for mobile FTP services. Unlike traditional approaches, the proposed scheme implements a Collaborative Forwarding algorithm that takes advantage of opportunistic wireless connections, thereby improving network capacity by exploiting the diversity of network mobility. Using simulations as well as real-world network scenarios, we demonstrate that the proposed scheme provides a better mobile FTP service than traditional schemes, and thus facilitates more effective data transfer on the go.
A Multi-Subpopulation Accelerating Particle Swarm Optimization
Authors: Yi Jiang
Venue: Proceedings of the First International Workshop on Knowledge Discovery and Data Mining (2008)

The particle swarm optimization is a stochastic, population-based optimization technique that can be applied to a wide range of problems. A multisubpopulation accelerating particle swarm optimization(MAPSO)is proposed to improve the performance of the original algorithm. MAPSO views the excellent individuals as attractors and generates local small populations in the neighbor of them to maintain the diversity of the population. In the course of searching, MAPSO constantly shrinks the searching neighbor and uses the accelerating operators to speed up the evolution of MAPSO. Finally, MAPSO's efficiency is validated through optimization of benchmark functions.
ShanghaiGrid and intelligent urban traffic applications
Authors: Feilong Tang, Minglu Li, Minyi Guo
Venue: Proceedings of the 2007 Asian technology information program's (ATIP's) 3rd workshop on High performance computing in China: solution approaches to impediments for high performance computing (2007)

Grid computing is becoming the preferred basis for large-scale distributed computing and Internet applications. ShanghaiGrid launched in Shanghai, China is a grid infrastructure that aggregates several heterogeneous supercomputers, data centers and other applications scattered in different organizations in Shanghai. One of the major focuses in the ShanghaiGrid project is research and development of an intelligent urban traffic management system based on the ShanghaiGrid system software. The system software provides a platform in a service-oriented way for resource encapsulation and management, service scheduling and accounting, data aggregation and adaptive transmission, as well as service composition and reliability support. This paper presents the ShanghaiGrid system software, with the focus on key technologies for advanced ShanghaiGrid applications, and the implementation of intelligent urban traffic management based on realtime traffic data.
On the Security of the Full-Band Image Watermark for Copyright Protection
Authors: Chu-Hsing Lin, Jung-Chun Liu, Pei-Chen Han
Venue: Proceedings of the 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008) (2008)

Digital watermarks have been embedded invisibly in digital media to protect copy rights of legal owners. The embedded watermarks can be extracted to indicate ownership originals. In this paper a robust Full-Band Image Watermark method is investigated by using various attacks on the watermarked image. Image attacks have evolved so much that they are not just destructive, that is, degrading the visual quality of the image, but somehow, constructive, that is, altering the original work in creative ways to make it look as if a new piece of creation. We launched many destructive and constructive attacks on images embedded with our watermarking method to test its security. The experimental results prove that it is very robust against image attacks.
Fast equation automaton computation
Authors: Ahmed Khorsi, Faissal Ouardi, Djelloul Ziadi
Venue: Journal of Discrete Algorithms (2008)

The most efficient known construction of equation automaton is that due to Ziadi and Champarnaud. For a regular expression E, it requires O(|E|^2) time and space and is based on going from position automaton to equation automaton using c-continuations. This complexity is due to the sorting step that takes O(|E|^2) time used to identify the identical sub-expressions of E. In this paper, we present a more efficient construction of the equation automaton which avoids the sorting step and replaces it by a minimization of an acyclic finite deterministic automaton. We show that this minimization allows the identification of identical sub-expressions as well as the sorting step used in Champarnaud and Ziadi's approach. Using the minimization we get O(|E|+|E|@?|E"E|) time and space complexity where |E"E| is the number of states of the equation automaton.
A New Private Multi-Channel UWB MAC Protocol Design for Distributed Network
Authors: Zhi-hong Xiao, Yao-hui Wu, Zong-qi Guan
Venue: Proceedings of the First International Workshop on Knowledge Discovery and Data Mining (2008)

Channel logical partitioning can better avoid the conflict and improve the agreement's efficiency. It has proved that double-channel access agreement efficient than the single-channel one by theory and simulation's test. And it will solve the exposed terminal problem. Proposed a design for new private multi-channel UWB MAC protocol applied distributed network in the background of UWB applied in wireless local network in this paper. This protocol nor only solve the hidden terminal and exposed terminal, but also distribute channels effectively and improve network performance.
Multiresolution point-set surfaces
Authors: Francçois Duranleau, Philippe Beaudoin, Pierre Poulin
Venue: Proceedings of graphics interface 2008 (2008)

Multiresolution representations of 3D surfaces make it possible to concentrate the efforts of a modification at the appropriate level of detail. This paper introduces a multiresolution representation for point-set surfaces. At each level, the point set is smoothed and downsampled, and the geometric details are encoded along the smoothed surface normal. The resulting structure is only slightly larger than the original point set and allows to reconstruct it precisely. We demonstrate how it can be used for surface deformation and for frequency band scaling.
Analysis of bittorrent-like protocols for on-demand stored media streaming
Authors: Nadim Parvez, Carey Williamson, Anirban Mahanti, Niklas Carlsson
Venue: ACM SIGMETRICS Performance Evaluation Review (2008)

This paper develops analytic models that characterize the behavior of on-demand stored media content delivery using BitTorrent-like protocols. The models capture the effects of different piece selection policies, including Rarest-First and two variants of In-Order. Our models provide insight into transient and steady-state system behavior, and help explain the sluggishness of the system with strict In-Order streaming. We use the models to compare different retrieval policies across a wide range of system parameters, including peer arrival rate, upload/download bandwidth, and seed residence time. We also provide quantitative results on the startup delays and retrieval times for streaming media delivery. Our results provide insights into the optimal design of peer-to-peer networks for on-demand media streaming.
General ray method and computer program package for explicit solution of boundary value problems for elliptic partial differential equations in domains with complicated geometry
Authors: Alexander Grebennikov
Venue: Proceedings of the 2nd WSEAS International Conference on Computer Engineering and Applications (2008)

A new version of General Ray (GR) method for solution of the Dirichlet boundary value problem for the class of elliptic Partial Differential Equations (PDE) is proposed. This version is based on application of the Radon transform directly to the PDE and consists in reduction PDE to assemblage of ODE. The class of the PDE includes the Laplace, Poisson and Helmgoltz equations. GR-method presents the solution of the Dirichlet boundary value problem for this type of equations by explicit analytical formulas that use the direct and inverse Radon transform. Proposed version of GR-method is justified theoretically, realized by fast algorithms and MATLAB software, which quality is demonstrated by numerical experiments.
A Relevant Portion of an Ontology: Defining a System of ED Rules Using a Part-Whole Relationship
Authors: Mohammad Nazir Ahmad, Robert M. Colomb, Shazia Sadiq
Venue: Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS) (2008)

This paper defines rules for an ontology server that enables the selection of the relevant portion of an ontology based on the notion of Existence Dependency (ED). We examine the ED on the part-whole relation represented in a Unified Modeling Language (UML) and discuss its importance as a modeling primitive forthe systems such as OWL (Ontology Web Language) and UML for Ontology Definition Meta-Model (ODM). We then raise a few anomalies in these systems regarding ontological semantics. We then employ the theory of formal ontology which ontologically resolves the semantics of the part-whole relation. As a result, we define rules so the server can find what is needed and present it to the user.
t-Frame: the design of a multiuser interactive wall
Authors: Alessandro Soro, Gavino Paddeu
Venue: Proceedings of the 2nd WSEAS International Conference on Computer Engineering and Applications (2008)

We present t-Frame, a low-cost hardware/software architecture that enables multi-touch interaction on a generic display. Specifically, t-Frame is intended to be used in large size, multi-user interactive walls. A t-Frame installation consists of a set of cameras arranged on the plane of the display. The frames captured by each camera are elaborated to spot touch events, which are then pushed to a queue that applications can poll. The design of t-Frame is illustrated in detail, together with a preliminary prototype installation.
Asymptotic stability of numerical methods for linear delay parabolic differential equations
Authors: Hongjiong Tian
Venue: Computers Mathematics with Applications (2008)

This paper is concerned with the asymptotic stability property of some numerical processes by discretization of parabolic differential equations with a constant delay. These numerical processes include forward and backward Euler difference schemes and Crank-Nicolson difference scheme which are obtained by applying step-by-step methods to the resulting systems of delay differential equations. Sufficient and necessary conditions for these difference schemes to be delay-independently asymptotically stable are established. It reveals that an additional restriction on time and spatial stepsizes of the forward Euler difference scheme is required to preserve the delay-independent asymptotic stability due to the existence of the delay term. Numerical experiments have been implemented to confirm the asymptotic stability of these numerical methods.
Sliding mode identification and control for linear uncertain stochastic systems
Authors: M. Basin, A. Ferreira, L. Fridman
Venue: International Journal of Systems Science (2007)

This article presents the integral sliding mode technique applied to identify disturbances and robustify the optimal linear quadratic Gaussian controller for linear uncertain stochastic systems, which is compared to the conventional sliding mode approach. The obtained identifier/controller provides a method for estimating uncertainty values and ensures robustness of the system against matched uncertainties, starting from the initial time instant. Numerical simulations illustrating the obtained results are given for the inverted pendulum.
A filter-trust-region method for simple-bound constrained optimization
Authors: Caroline Sainvitu, Philippe L. Toint
Venue: Optimization Methods Software (2007)

In this paper we propose a filter-trust-region algorithm for solving nonlinear optimization problems with simple bounds. It extends the technique of Gould et al. [Gould, N.I.M. Sainvitu, C. and Toint, Ph.L., 2005, A filter-trust-region method for unconstrained optimization. SIAM Journal on Optimization, 16(2), 341-357.] designed for unconstrained optimization problems. The two main ingredients of the method are a filter-trust-region algorithm and a gradient-projection method. The algorithm is shown to be globally convergent to at least one first-order critical point. Numerical experiments on a large set of problems are also reported.