ppxscal/embedding_network huggingface dataset:
A Portable Interceptor Mechanism on SOAP for Continuous Audit
Authors: Chen-Liang Fang, Deron Liang, Fengyi Lin, Chien-Cheng Lin, William Cheng-Chung Chu
Venue: Proceedings of the XIII Asia Pacific Software Engineering Conference (2006)

Web Services has become popular in modern distributed applications, and the SOAP technology currently is the most used in Web Services. Recent middleware research works widely use interception approach for many problem domains, for example Fault Tolerance, Continuous Audit (CA), security etc. Instead of providing a Portable Interceptor as CORBA does, SOAP 1.2 provides an intermediary mechanism. Due to backward compatibility issue, we found intermediary mechanism is not a feasible solution for interception. Furthermore, our use case analysis found that CORBA Portable Interceptor functionality does not fulfill all requirements of Continuous Audit. This motivates us to develop a new Portable Interceptor Mechanism (PIM) on SOAP for CA. In this paper, we propose a PIM on SOAP to meet the interception requirements for Web Services. Our PIM includes portable interceptor management in SOAP engine and portable interceptor interface definitions.
Controlling quality-of-service in distributed real-time and embedded systems via adaptive middleware: Experiences with Auto-adaptive and Reconfigurable Systems
Authors: Richard E. Schantz, Joseph P. Loyall, Craig Rodrigues, Douglas C. Schmidt
Venue: Software&mdash;Practice Experience (2006)

Computing systems are increasingly distributed, real-time, and embedded (DRE) and must operate under highly unpredictable and changeable conditions. A challenging problem for DRE systems is adaptation of behavior and reconfiguration of resources to maintain the best application performance in the face of changes in system load and available resources. To provide predictable mission-critical quality of service (QoS) end-to-end, QoS-enabled middleware services and mechanisms have begun to emerge, but they lack support for applications with stringent QoS requirements in changing, dynamic environments. This paper presents two contributions to research on adaptive and reconfigurable DRE systems. First, we describe the structure and functionality of an advanced middleware platform for developing applications that apply various techniques to adapt themselves to changes in resource availability to meet real-time QoS requirements. Second, we present results of a case study of a multimedia application for Unmanned Aerial Vehicle (UAV) video distribution we developed using this middleware platform in conjunction with QoS-enabledoperating systems and networking protocols. We describe the design of the multimedia application using our middleware platform and report empirical results showing how adaptive behavior and end-to-end resource management techniques are used to reconfigure the system dynamically to meet timeliness requirements. Copyright &copy; 2006 John Wiley & Sons, Ltd.
Graphical Models and Point Pattern Matching
Authors: Tiberio S. Caetano Terry Caelli
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)

This paper describes a novel solution to the rigid point pattern matching problem in Euclidean spaces of any dimension. Although we assume rigid motion, jitter is allowed. We present a noniterative, polynomial time algorithm that is guaranteed to find an optimal solution for the noiseless case. First, we model point pattern matching as a weighted graph matching problem, where weights correspond to Euclidean distances between nodes. We then formulate graph matching as a problem of finding a maximum probability configuration in a graphical model. By using graph rigidity arguments, we prove that a sparse graphical model yields equivalent results to the fully connected model in the noiseless case. This allows us to obtain an algorithm that runs in polynomial time and is provably optimal for exact matching between noiseless point sets. For inexact matching, we can still apply the same algorithm to find approximately optimal solutions. Experimental results obtained by our approach show improvements in accuracy over current methods, particularly when matching patterns of different sizes.
An Architectural Modeling Approach with Symmetric Alignment of Multiple Concern Spaces
Authors: Semih Cetin, N. Ilker Altintas, Cevat Sener
Venue: Proceedings of the International Conference on Software Engineering Advances (2006)

Architectural modeling identifies several concerns in problem domain and associates them with design decisions in solution domain. There is, however, no commonsense on how to localize problem domain concerns and relate them to the solution domain. This paper proposes a modeling approach to address the architectural concerns in multiple concern spaces both for problem and solution domains, and align them "symmetrically". This approach identifies the problem domain in multiple concern spaces by correlating the "architectural aspects" and "quality attributes". The solution domain is likewise identified in other multiple concern spaces by correlating the "multi-views" and "multi-tiers" of architectures. Symmetric alignment is used here for the correlation between separate concern spaces instead of mapping individual concerns from problem to solution domain. The paper claims that this alignment helps identifying architectural components, connectors and properties in the solution domain.
Generic Personal Assistance Architecture for Mobile Environments
Authors: Gerald Bieber
Venue: Proceedings of the First International Workshop on Semantic Media Adaptation and Personalization (2006)

The usage of mobile computers such as PDAs and mobile phones provides new services for the user. In the early days, user input or external environment information was used for defining context information for personal assistance. Some applications e.g. Location Based Services (LBS) are very handy and powerful and they enable the next generation of assistance by using user related parameters, behavior and preferences. By using new interfaces and sensors, an additional and comprehensive understanding of the user's situation can be determined. This paper shows an improving approach of the generic architecture for mobile personal situation aware assistance and gives an outlook on upcoming challenges of research in activity and assistance models.
Knowledge Discovery and Integration Based on A Novel Neural Network Ensemble Model
Authors: Yong Wang, Hong-Jie Xing
Venue: Proceedings of the Second International Conference on Semantics, Knowledge, and Grid (2006)

This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network Ensembles) integrating KDD (Knowledge Discovery in Database) techniques and neural network modeling algorithms by "parallel operations" is proposed. Through balancing the relative importance of knowledge learned by induction and deduction, KBNNE can avoid the knowledge loss and enhance the "transparency " of neural network models. The effectiveness of the proposed model is demonstrated through computer simulations on simple artificial problems and an actual modeling problem.
An Approach to SOA-Based Bioinformatics Grid
Authors: Guoshi Xu, Yin Luo, Huashan Yu, Zhuoqun Xu
Venue: Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing (2006)

Bioinformatics grid has emerged to meet the sharp requirement for computation and storage resource in the bioinformatics research field. In this paper, a design of SOA-based bioinformatics grid system is put forward under the WSRF specification. It aggregates existing tools such as BLAST, wrapped as Web Services, through WS-ServiceGroup, and supports the development, deployment, execution and monitoring of complex bioinformatics grid application. Based on the supporting environment, applications can access bioinformatics resource in a transparent manner. This paper also presents a use case to show the process of workflow building, execution and monitoring.
Dynamic Evolution of Business Performance Management
Authors: Liangzhao Zeng, Hui Lei, Michael Dikun, Henry Chang, Chang Shu
Venue: Proceedings of the IEEE International Conference on e-Business Engineering (2006)

Business PerformanceManagement(BPM) is a new frontier in IT-enabled enterprise that supports the monitoring business operations. BPM solutions must be able to efficiently process business events, compute business metrics, detect business situations, and provide the real-time visibility of key performance indicators (KPIs) in dynamic environments, wherein sources of dynamicity are plentiful, including new strategies, operations, KPIs, etc. Therefore, BPM solutions need to adapt these changes by dynamic evolution. We propose a policy-driven approach, where evolution policies capture the evolution mechanism of BPM solutions. This frees solution developers from low-level programming concerns. We implemented a hybrid compilationinterpretation framework that enables execution of wide spectrums of evolution policies. Further, our framework enables execution of evolution policies in parallel with on going event processing and guarantees the integrity on both of them.
A variational approach to 3D line orientation estimation from motion
Authors: Lixin Yang, Hichem Sahli, Dinh Nho Hào
Venue: Machine Graphics Vision International Journal (2005)

A variational approach to estimating 3D line orientation from motion is presented. A 2D motion constraint on 3D lines regularized by a quadratic term is used to set up an objective functional. From its associated Euler-Lagrange equations, we develop a vector-valued diffusion model, with a reaction term based on the 2D motion constraint. Three separate diffusion processes, corresponding to each component of the 3D line orientation, are coupled with each other through the reaction term and evolve simultaneously. Each 3D line orientation is estimated separately. The regularization parameter is estimated by an L-curve, which provides a better estimation. Experimental results from image sequences indicate stability and accuracy of the approach.
Temporal decoding by phase-locked loops: unique features of circuit-level implementations and their significance for vibrissal information processing
Authors: Miriam Zacksenhouse, Ehud Ahissar
Venue: Neural Computation (2006)

Rhythmic active touch, such as whisking, evokes a periodic references pike train along which the timing of a novel stimulus, induced, for example, when the whiskers hit an external object, can be interpreted. Previous work supports the hypothesis that the whisking-induced spike train entrains a neural implementation of a phase-locked loop (NPLL) in the vibrissal system. Here we extend this work and explore how the entrained NPLL decodes the delay of the novel, contact-induced stimulus and facilitates object localization. We consider two implementations of NPLLs, which are based on a single neuron or a neural circuit, respectively, and evaluate the resulting temporal decoding capabilities. Depending on the structure of the NPLL, it can lock in either a phase-or co-phase-sensitive mode, which is sensitive to the timing of the input with respect to the beginning of either the current or the next cycle, respectively. The co-phase-sensitive mode is shown to be unique to circuit-based NPLLs. Concentrating on temporal decoding in the vibrissal system of rats, we conclude that both the nature of the information processing task and the response characteristics suggest that the computation is sensitive to the co-phase. Consequently, we suggest that the underlying thalamocortical loop should implement a circuit-based NPLL.
On solving permutation scheduling problems with ant colony optimization
Authors: Daniel Merkle, Martin Middendorf
Venue: International Journal of Systems Science (2005)

A new approach for solving permutation scheduling problems with ant colony optimization (ACO) is proposed in this paper. The approach assumes that no precedence constraints between the jobs have to be fulfilled. It is tested with an ACO algorithm for the single-machine total weighted deviation problem. In the new approach the ants allocate the places in the schedule not sequentially, as in the standard approach, but in random order. This leads to a better utilization of the pheromone information. It is shown by experiments that adequate combinations between the standard approach which can profit from list scheduling heuristics and the new approach perform particularly well.
Web Service Discovery Based on Functional Semantics
Authors: Lei Ye, Bin Zhang
Venue: Proceedings of the Second International Conference on Semantics, Knowledge, and Grid (2006)

With the rapid development of web services technologies, web service discovery is becoming the urgent problem to be resolved. The existing researches are not mature, and cannot cope with the requests from different fields very well. In this paper we suggest an effective and feasible approach of web service discovery based on functional semantics. By defining the web services functional semantic description model, we provide a unified approach to describe the function of web service. Based on the domain-oriented functional ontology, we propose the semantic annotation mechanism to discover web services with functional semantics. Finally we describe the web service description language FWSDL and discovery system FunWSDS.
Linking Collaborative Learning Practice with IMS LD and Service-Oriented Technologies: an Approach Based on Collaborative Learning Flow Patterns
Authors: Davinia Hernandez-Leo, Eloy D. Villasclaras-Fernandez, Juan I. Asensio-Perez, Yannis A. Dimitriadis, Miguel L. Bote-Lorenzo, Bartolome Rubia-Avi
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

This paper proposes Collaborative Learning Flow Patterns (CLFPs), which represent best practices in collaborative learning structuring, as a central element of a kind of bi-directional linkage that facilitates that teachers can play the role of designers influencing in the behavior of CSCL (Computer- Supported Collaborative Learning) technological solutions. Additionally, this paper describes a technological approach for achieving such a scenario. That approach is based on the Collage authoring tool that provides CLFPs as IMS LD templates and the Gridcole system, capable of interpreting the resulting CLFP-based LDs and integrating the service-oriented tools needed to support the (collaborative) learning activities as prescribed in those LDs.
Worms and Viruses and Botnets, Oh My!: Rational Responses to Emerging Internet Threats
Authors: Gregory P. Schaffer
Venue: IEEE Security and Privacy (2006)

No longer satisfied with compromising and controlling individual computers, a new breed of hackers have set their sights on virtual networks of zombie systems, which they use in concert to accomplish various nefarious deeds. Beware the botnet.
Estimation of Potentially Unphysical Maps
Authors: Martin Plesch, Mário Ziman, Vladimír Bužek, Peter Štelmachovič
Venue: Open Systems Information Dynamics (2006)

When standard methods of process (black-box) estimation are applied straightforwardly then it may happen that some sets of experimental data result in unphysical estimations of the corresponding channels (maps) describing the process. To prevent this problem, one can use the method of maximum likelihood (MML), which provides an efficient scheme for reconstruction of quantum channels. This scheme always results in estimations of channels that are fully physical, e.g. the corresponding maps are linear, positive and completely positive. To show this property, we use the MML for a derivation of physical approximations of truly unphysical operations. In particular, we analyze physical approximations of the universal-NOT gate, the quantum nonlinear polarization rotation and the map ¿ ¿ ¿2. Given the result of MML, we examine retrospectively the quality of the experiment. Depending on the resulting value of the MML functional we can determine (physical) consistency of the input data.
1D performance analysis and tracing of technical and Java applications on the Itanium2 processor
Authors: W. Hassanein, G. Astfalk, R. Eigenmann
Venue: Proceedings of the 2003 IEEE International Symposium on Performance Analysis of Systems and Software (2003)

This paper presents a detailed workload characterization of important technical and Java/spl trade/ applications used in the industry, on the Itanium2 processor. We present a detailed performance study of four major classes of technical applications: 1- Crash finite element analysis (LS-Dyna3D). 2Structural analysis (Nastran). 3- Computational fluid dynamics (Star-CD). 4Other technical applications (GUPS). The performance of technical applications is compared to a commercial Java server benchmark (SPECjbb2000). The data indicate that the average IPC ratio of technical applications to that of the commercial Java application is from 1.23 to 2.36 (1.74 on average). We analyze the time varying behavior of the applications and collect instruction traces at both the kernel and user levels of representative sections of the code.
Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia
Authors: Olivier Caelen, Gianluca Bontempi, Eddy Coussaert, Luc Barvais, Francois Clement
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

The growing availability of high throughput measurement devices in the operating room makes possible the collection of a huge amount of data about the state of the patient and the doctors' practice during a surgical operation. This paper explores the possibility of extracting from these data relevant information and pertinent decision rules in order to support the daily anesthesia procedures. In particular we focus on machine learning strategies to design a closed-loop controller that, in a near future, could play the role of a decision support tool and, in a further perspective, the one of automatic pilot of the anesthesia procedure. Two strategies (direct and inverse) for learning a controller from observed data are assessed on the basis of a database of measurements collected in recent years by the ULB Erasme anaesthesiology group. The preliminary results of the learning approach applied to the regulation of hypnosis through the bispectral index (BIS) in a simulated framework appear to be promising and worthy of future investigation.
A General Framework for Parallel BDI Agents
Authors: Huiliang Zhang, Shell Ying Huang
Venue: Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology (2006)

The traditional BDI agent has 3 basic computational components that generate beliefs, generate intentions and execute intentions. They run in a sequential and cyclic manner. This may introduce several problems. Among them, the inability to watch the environment continuously in dynamic environments may be disastrous. There is also no support for goal and intention reconsideration and consideration of relationships between goals at the architecture level. A parallel BDI agent architecture was proposed in [15] and evaluated in [16]. Based on the work in [15] and [16], we propose in this paper, a general framework for the parallel BDI agent model. Under this general framework, parallel BDI agents with different configurations depending on the availability of physical resources may be built. These agents have a number of advantages over the sequential one: 1. changes in the agent's environment can be detected immediately; 2. emergencies will be dealt with immediately; 3. the support is provided at the architecture level for reconsideration of desires/intentions and the consideration of goal relationships when a new belief/desire is generated. We show some example parallel BDI agents with different configurations under the framework and their performance in a set of experiments.
A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate α-stable prior
Authors: Larbi Boubchir, Jalal M. Fadili
Venue: Pattern Recognition Letters (2006)

In this paper, a nonparametric Bayesian estimator in the wavelet domains is presented. In this approach, we propose a prior statistical model based on the @a-stable densities adapted to capture the sparseness of the wavelet detail coefficients. An attempt to apply this model in the context of wavelet denoising have been already proposed in (Achim, A., Bezerianos, A., Tsakalides, P., 2001. Novel Bayesian multiscale method for speckle removal in medical ultrasound images. IEEE Trans. Med. Imag. 20, 772-783). However, despite its efficacy in modeling the heavy tail behavior of the empirical wavelet coefficients histograms, their denoiser proves very poor in practice especially at low SNRs. It suffers from many drawbacks such as numerical instability because of the lack of a closed-form expression of the Bayesian shrinkage rule, and the weakness of the estimator of the hyperparameters associated with the @a-stable prior. Here, we propose to overcome these limitations using the scale mixture of Gaussians theorem as an analytical approximation for @a-stable densities, which is not known in general, in order to obtain a closed-form expression of our Bayesian denoiser.
Fuzzy Gain Scheduled Integral Control and Its Application to a Hovercraft Vessel with Uncertainties
Authors: Chun-Chieh Wang, Juhng-Perng Su
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

In this paper, we investigate the tracking control problem of a hovercraft vessel with uncertainties via a fuzzy gain scheduled integral control. There are two parts in this paper: the simulation and the experiment. In the first section, we will apply PID control as well as the proposed control law in the hovercraft system. Simulation results reveal that the proposed control scheme is promising for controlling uncertain hovercraft systems. In experimental part, we use the Complex Programmable Logic Device (CPLD) to realize the PID controller. Because of the mature development and easy acquirability of CPLD, we digitize this controller and develop it by the Altera CPLD platform. The peripheral circuit and the controller are established in our new system on a chip. It can shorten the time for manufacturing electronic circuits, and can also achieve the goal of a fast prototype. In addition, the implementation cost decreased significantly by this scheme.
Patterns of the prairie houses
Authors: Paul R. Taylor
Venue: Proceedings of the 2002 conference on Pattern languages of programs - Volume 13 (2003)

This paper attempts distillation of the essential design themes of Frank Lloyd Wright's prairie houses in pattern form. The result is a pattern language fragment that documents the key features of Wright's architectural style and an interpretation of Wright's design justifications and motivations. The exercise serves to illustrate the use of patterns and pattern languages in post hoc design documentation and design rationale recovery.
Reducing Specular Reflection Components of Metallic Surfaces Using Photometric Linearization
Authors: Zhong Zhang, Shiqing Ren, Miyake Tetsuo, Hisanaga Fujiwara, Takashi Imamura
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

In metallic surfaces, highlights are very strong and illuminant shapes are often observed as specular reflections. In order to control specular reflection components of metallic surfaces, a set of real images are taken under various lighting conditions and Photometric Linearization is introduced to control diffuse reflection components as well as to reduce specular reflection components. Experimental results show that specular reflection components can be effectively reduced in realistic images of metallic surfaces using this technique.