ppxscal/embedding_network huggingface dataset:
Robustness in SOC Design
Authors: Klaus Waldschmidt
Venue: Proceedings of the 9th EUROMICRO Conference on Digital System Design (2006)

Embedded systems, ubiquitous computing and networked architectures are getting more and more important within our society. System parts are often completely implemented as integrated circuits (SoC = System on chip). Consequently, their complexity and heterogeneity have grown dramatically in the recent past. Moreover, embedded systems are used in environments where parameters are subject to continuous changes. Hence, they have to respond to environmental requirements and changes of their own system parameters in a robust manner. To gain this robustness and to cope with the design methodology, formal measures and metrics are of great importance. Such measures need to be combined with the still increasing requirement for computing performance. The implementation of robust features requires adap-tivity by reconfiguration and parallelism. We will call the corresponding sys-tems adaptive computing systems (ACS). The ACS class offers the opportunity to adapt the whole architecture or parts of the architecture to the changing needs of applications or changing environments. The paper addresses some of these aspects and presents some ideas for mod-elling and designing adaptive computing systems (ACS). Especially measures, metrics and taxonomies for reliability, adaptivity and robustness are analysed and discussed. Robust behaviour of electronic systems will contribute to significantly higher trust of the society in modern technology. Therefore it is of very high eco-nomical relevance for industry and commerce.
Personalized Recommendation Services Based on Service-Oriented Architecture
Authors: Quan Wen, Jianmin He
Venue: Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing (2006)

Recommendation systems are special personalization tools that help users to find interesting information and services. This paper proposes a personalized recommendation system based on service-oriented architectures (SOAs). It introduces service-oriented recommendation technologies such as recommendation engines, data mining, content-based approach and collaborative filtering. It discusses service-oriented architecture, especially for service discovery and SOA for recommendation system. Then, it analyzes personalized recommendation system and proposes relative system architectures. Finally, it gives a case study about e-shop recommendation to illustrate the novel services.
Learning an Interest Operator from Human Eye Movements
Authors: Wolf Kienzle, Felix A. Wichmann, Bernhard Scholkopf, Matthias O. Franz
Venue: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

We present an approach for designing interest operators that are based on human eye movement statistics. In contrast to existing methods which use hand-crafted saliency measures, we use machine learning methods to infer an interest operator directly from eye movement data. That way, the operator provides a measure of biologically plausible interestingness. We describe the data collection, training, and evaluation process, and show that our learned saliency measure significantly accounts for human eye movements. Furthermore, we illustrate connections to existing interest operators, and present a multi-scale interest point detector based on the learned function.
A context-aware approach for service selection using ontologies
Authors: Murat Şensoy, Pinar Yolum
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

Selecting the right parties to interact with is a fundamental problem in open and dynamic environments. The problem is exemplified when the number of interacting parties is high and the parties' reasons for selecting others vary. We examine the problem of service selection in an e-commerce setting where consumer agents cooperate to identify service providers that would satisfy their service needs the most. Previous approaches to service selection are based on capturing and exchanging the ratings of consumers to providers. Contrary to previous, rating-based service selection, this paper advocates an objective experience-based approach for service provider selection, in which consumers record their experiences with service providers rather than the overall, subjective ratings for a provider. A consumer's experience with a service provider is represented using an ontology that can capture subtle details including the context in which the service was requested. When a service consumer decides to share her experiences with a second service consumer, the receiving consumer evaluates the experience using its own context and evaluation criteria. By sharing experiences rather than ratings, the service consumers can model service providers more accurately and thus can select the service providers for their needs more correctly.
A Method for Component-Based Software and System Development
Authors: Denis Hatebur, Maritta Heisel, Jeanine Souquieres
Venue: Proceedings of the 32nd EUROMICRO Conference on Software Engineering and Advanced Applications (2006)

We propose a method for component-based software and system development, where the interoperability between the different components is given special consideration. The method uses existing notations and languages with their associated tools: context diagrams for analyzing and structuring the problem, composite structure diagrams for describing the overall system in terms of components and interfaces, sequence diagrams to describe the behavior of each component, and the formal method B for specifying the interfaces of the different components and for proving their interoperability. Interoperability is proven using the B method with its underlying concept of refinement, and its powerful tool support, the B prover.
Static Slicing for Pervasive Programs
Authors: Heng Lu, W. K. Chan, T. H. Tse
Venue: Proceedings of the Sixth International Conference on Quality Software (2006)

Pervasive programs should be context-aware, which means that program functions should react according to changing environmental conditions. Slicing, as an important class of code analysis techniques, can clarify the dependence between program artifacts and observable system states to facilitate debugging, testing, and other analyses. Existing program slicing techniques, however, do not take the contextual environment into account, resulting in incomplete slices for such kind of program. To tackle this problem, this paper proposes a novel static slicing approach. It develops a graphic representation that captures the contexttriggered invocations and the pervasive concurrency features. We have also developed an algorithm to check the propagation dependence in processing inter-thread data dependence. Further optimizations are discussed.
In our trusty cage
Authors: Aaron Weiss
Venue: netWorker (2006)

Admittedly, the term "Trusted Computing" isn't as conspiratorial as it sounds. Within computer security circles, to "trust" a system has a long and legitimate history describing available degrees of credentials. Indeed, the Trusted Computing Group, a Who's Who list of major technology vendors from Microsoft to Intel to IBM, consciously emphasizes the security pedigree implied by their name. But don't let the name fool you. Ultimately, it isn't the machines the TCG aims to make trustworthy. It's their customers.
DASMAS: dialogue based automation of semantic interoperability in multi agent systems
Authors: Bhavna Orgun, Mark Dras, Steve Cassidy, Abhaya Nayak
Venue: Proceedings of the 2005 Australasian Ontology Workshop - Volume 58 (2005)

This paper presents our ongoing effort on developing a dialogue based framework for resolving semantic interoperability in multi agent systems. Our approach is characterized by: (1) multi agent systems that have real world heterogeneous ontologies; (2) the resolution of semantic differences at run-time through an adapted ontology negotiation protocol (ONP); and (3) the use of the Word Net lexicon in the resolution process.
Discrimination power enhancement via high resolution velocity estimators
Authors: W. Du, R. L. Kirlin
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04 (1993)

Two high resolution velocity estimators are proposed which combine the covariance steering and time dependent strategy of the semblance algorithm and the high resolution beamforming methodology. The discrimination threshold study shows that the new velocity estimators have superior performance in detecting closely clustered seismic events. In addition to the discrimination threshold study, the covariance matrix estimation problem is addressed for the new velocity estimator in the special nonstationary and transient scenarios of exploration seismic processing applications.
Perceived system performance: a test of an extended technology acceptance model
Authors: Liping Liu, Qingxiong Ma
Venue: ACM SIGMIS Database (2006)

In this study, we introduce the notion of perceived system performance (PSP) to extend the technology acceptance model (TAM). We found that PSP explained 46% of the variation in ease of use, a 50% improvement over our current understanding of ease of use while using only one predictor. We also found that, when PSP is absent, TAM was validated as usual. However, when PSP is present, the relationship between ease of use and technology acceptance became insignificant, a phenomenon called conditional independence. We provide a causal reasoning-based explanation for our findings.
A Quality Evaluation Technique of RFID Middleware in Ubiquitous Computing
Authors: Gi oug Oh, Doo yeon Kim, Sang il Kim, Sung yul Rhew
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

With ubiquitous computing system, users can access information through a computer network at any time and in any place. The basic infrastructure of ubiquitous computing system is wireless network environment, and a RFID (Radio Frequency Identification) system is composed tags, readers, middleware, application services, etc. and uses networks. RFID middleware is system software that collects a large volume of raw data generated in RFID environment, filters the data, summarizes them into meaningful information and delivers the information to application services. RFID middleware links hardware to conventional middleware. Previous researches on RFID middleware have covered middleware from SUN, SAP, IBM, Microsoft, Oracle, etc. These products attach importance to different quality characteristics, and there have been few researches on the quality properties of RFID middleware.The present study examined functionality, reliability, usability, efficiency and portability among the quality characteristics of software in international standard ISO/IEC 9126 as well as the quality elements of standard RFID middleware of EPC Global, and based on them we extracted and analyzed items for evaluating the quality of RFID middleware in ubiquitous computing systems. Using the AHP (Analytic hierarchy process) that enables rational decision making by simplifying complicated problems, we evaluated the subjective characteristics of stakeholders in an objective way and proposed a selection method that evaluates quality using quality evaluation criteria. The proposed evaluation selection method is useful for developers who are going to develop RFID middleware in areas such as distribution and logistics to select RFID middleware suitable for their environment.
A Policy-Based Decision Making Approach for Orchestrating Autonomic Elements
Authors: Mazeiar Salehie, Ladan Tahvildari
Venue: Proceedings of the 13th IEEE International Workshop on Software Technology and Engineering Practice (2005)

Autonomic systems encompass elements, components, and sometimes smaller autonomic sub-systems. Composition, integration and orchestration at different levels of such autonomic systems are significant issues in the interoperability of their constituent elements. This research focuses on orchestration as an important process of interoperability in an abstract autonomic system model. Policybased management has potential to play an important role in orchestrating constituent components of autonomic systems/ elements, and also to fill the gap between business and IT objectives. This research applies policy-based orchestration using crisp and fuzzy policies to reach the business goals of the system, and to obey the constraints defined by the Service Level Agreement (SLA). First, a simulated model has been used in MATLAB/Simulink environment, and then the system is implemented by Agent Building and Learning Environment (ABLE) in Java.
Maximum profit mining and its application in software development
Authors: Charles X. Ling, Victor S. Sheng, Tilmann Bruckhaus, Nazim H. Madhavji
Venue: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (2006)

While most software defects (i.e., bugs) are corrected and tested as part of the lengthy software development cycle, enterprise software vendors often have to release software products before all reported defects are corrected, due to deadlines and limited resources. A small number of these defects will be escalated by customers and they must be resolved immediately by the software vendors at a very high cost. In this paper, we develop an Escalation Prediction (EP) system that mines historic defect report data and predict the escalation risk of the defects for maximum net profit. More specifically, we first describe a simple and general framework to convert the maximum net profit problem to cost-sensitive learning. We then apply and compare several well-known cost-sensitive learning approaches for EP. Our experiments suggest that the cost-sensitive decision tree is the best method for producing the highest positive net profit and comprehensible results. The EP system has been deployed successfully in the product group of an enterprise software vendor.
The learning computer: a low bandwidth tool for bridging the digital divide in distance education
Authors: Russell Johnson, Ray Kemp, Elizabeth Kemp, Peter Blakey
Venue: Proceedings of the Fourth IEEE International Workshop on Technology for Education in Developing Countries (2006)

This paper reports on the successful prototyping and evaluation of a low bandwidth, easy-to-use tool for distance learning. IMMEDIATE (Integrating MultiMEdia in a DIstAnce learning and TEaching environment), addresses the digital divide in education through a learning computer that provides a specialised e-learning environment for the PC, which is more-widely accessible and more usable to students than web-based Learning Management Systems (LMS) and works with or without an internet connection. Because the learning computer does not require the speed and multifarious functionality of today's desktop computer, it will potentially run on cheaper specialpurpose hardware, recycled older computers, or ubiquitous devices which plug into any computer, to support "anybody, anywhere, anytime" e-learning.
Challenges to User Testing E-Learning Games with Children in Elementary Schools
Authors: Thorsten Frohlich, Susan Feinberg
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

The availability of computers in elementary schools increases the potential to use E-Learning games to teach children. It is essential to user test such games to make sure they are an effective learning tool that offers a benefit over existing learning methods in order to be adopted by schools striving to provide the best and most effective education. This case study underlines the differences between testing adults in the field compared to testing children in an elementary school environment. Students in two Chicago (USA) elementary schools in diverse neighborhoods were observed playing an existing online E-Learning math game. The results were analyzed to improve future user tests in elementary schools.
Evaluation of secure peer-to-peer overlay routing for survivable SCADA systems
Authors: Jeffrey J. Farris, David M. Nicol
Venue: Proceedings of the 36th conference on Winter simulation (2004)

Supervisory Control And Data Acquisition (SCADA) systems gather and analyze data for real-time control. SCADA systems are used extensively, in applications such as electrical power distribution, telecommunications, and energy refining. SCADA systems are obvious targets for cyber-attacks that would seek to disrupt the physical complexities governed by a SCADA system. This paper uses a discrete-event simulation to begin to investigate the characteristics of one potential means of hardening SCADA systems against a cyber-attack. When it appears that real-time message delivery constraints are not being met (due, for example, to a denial of service attack), a peer-to-peer overlay network is used to route message floods in an effort to ensure delivery. The SCADA system, and peer-to-peer nodes all use strong hardware-based authentication techniques to prevent injection of false data or commands, and to harden the routing overlay. Our simulations help to quantify the anticipated tradeoffs of message survivability and latency minimization.
Using attitude and social influence to develop an extended trust model for information systems
Authors: Xin Li, Traci J. Hess, Joseph S. Valacich
Venue: ACM SIGMIS Database (2006)

This research extends an initial trust model proposed and empirically tested by McKnight, Choudhury, and Kacmar (2002) in an e-commerce context. This trust model is extended by the addition of two key constructs: trusting attitude and subjective norm. These added constructs improve the theoretical foundation of this model by more closely aligning it with the theory of reasoned action. The extended trust model is applied to the context of information systems, specifically a national identity system. Survey data collected in an experimental setting were used to test and compare the extended trust model against the initial trust model. Empirical results indicate that the additional constructs of trusting attitude and subjective norm explain significantly more variance in initial trusting intentions.
Performance analysis of timer-based burst assembly with slotted scheduling for optical burst switching networks
Authors: Takuji Tachibana, Shoji Kasahara
Venue: Performance Evaluation (2006)

In this paper, we analyze the performance of a timer-based burst assembly for optical burst switching (OBS) networks. In our analytical model, an ingress edge node has multiple buffers where IP packets are stored depending on their egress edge nodes, and bursts are assembled at the buffers in round-robin manner. Moreover, bursts are transmitted in accordance with slotted scheduling where each burst transmission starts at the slot boundary. We construct a loss model with two independent arrival streams, and explicitly derive the burst loss probability, burst throughput, and data throughput. In numerical examples, we show the effectiveness of our analysis in comparison with the Erlang loss system. It is shown that our model is quite useful for an OBS network with a large number of input and output links.
How Multimedia/Multimodal Information Can Contribute to the Change of Telecommunication
Authors: Ryoichi Komiya
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

This article summarizes a panel to be held during the IEEE International Multimedia Symposium 2006. The panel title is "How multimedia can contribute to the change of telecommunication?" The panel intends to review the multimedia or multimodal information transmission in the telecommunication systems and highlight today's problems. The panel would try to indicate R&D directions based on the essential information to be exchanged in terms of multimedia/multimodal. Then, we study necessary requirements for standardization of the next generation networks from the viewpoints of multimedia/multimodal telecommunication systems.
Subspace tracking based on the projection approach and the recursive least squares method
Authors: B. Yang
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04 (1993)

The author presents a new algorithm for tracking the signal subspace recursively. It is based on a novel interpretation of the signal subspace as the solution of a projection like unconstrained minimization task. It is shown that the recursive least squares technique can be applied to solve this problem by approximation projections appropriately. The resulting algorithm has a computational complexity of O(nr) where n is the dimension of the problem and r is the number of desired eigencomponents, respectively. Simulation results show that the frequency tracking capability of this algorithm is virtually identical to and in some cases more robust than the more computationally expensive batch eigendecomposition. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Fuzzy Logic Based Constrained Control Allocation for an Advanced Fighter
Authors: Yong FAN, Ji-hong ZHU, Zeng-qi SUN
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

A fuzzy logic based optimization approach is employed to solve the constrained control allocation problem via intelligent adjusting the components of output vector and find a proper vector in the attainable moment set (AMS) autonomously. The basic idea is to minimize the L2 norm of error between the desired moment and achievable moment using the designing freedom provided by redundantly allocated actuators and control surfaces. Considering the constraints of control surfaces, in order to obtain acceptable performance of aircraft such as stability and maneuverability, the fuzzy weights are updated by the learning algorithm, which makes the close-loop system self-adaptation. With above approach, additional closed-loop specifications such as decoupling of different modes and reconfigurable control can also be achieved. Finally, an application example of flight control designing for an advanced fighter is discussed as a demonstration.
Out-of-the-money monte carlo simulation option pricing: the joint use of importance sampling and descriptive sampling
Authors: Eduardo Saliby, Jaqueline T. M. Marins, Josete F. dos Santos
Venue: Proceedings of the 37th conference on Winter simulation (2005)

As in any Monte Carlo application, simulation option valuation produces imprecise estimates. In such an application, Descriptive Sampling (DS) has proven to be a powerful Variance Reduction Technique. However, this performance deteriorates as the probability of exercising an option decreases. In the case of out-of-the-money options, the solution is to use Importance Sampling (IS). Following this track, the joint use of IS and DS is deserving of attention. Here, we evaluate and compare the benefits of using standard IS method with the joint use of IS and DS. We also investigate the influence of the problem dimensionality in the variance reduction achieved. Although the combination IS+DS showed gains over the standard IS implementation, the benefits in the case of out-of-the-money options were mainly due to the IS effect. On the other hand, the problem dimensionality did not affect the gains. Possible reasons for such results are discussed.