ppxscal/embedding_network huggingface dataset:
Experience with SC: transformation-based implementation of various extensions to C
Authors: Tasuku Hiraishi, Masahiro Yasugi, Taiichi Yuasa
Venue: Proceedings of the 2007 International Lisp Conference (2007)

We have proposed the SC language system which facilitates language extensions by translation into C. In this paper, we present our experience with the SC language system and discuss its design, implementation, applications and improvements. In particular, we present the improvement to the design of transformation rules for implementing translations, which includes the feature to extend an existing transformation phase (rule-set). This enables us to implement many transformation rule-sets only by describing the difference, and helps us to use commonly-used rule-sets as part of the entire transformation. We also show several actual examples of extensions to C: garbage collection, multithreading and load balancing.
Kernel optimization-based discriminant analysis for face recognition
Authors: Jun-Bao Li, Jeng-Shyang Pan, Zhe-Ming Lu
Venue: Neural Computing and Applications (2009)

The selection of kernel function and its parameter influences the performance of kernel learning machine. The difference geometry structure of the empirical feature space is achieved under the different kernel and its parameters. The traditional changing only the kernel parameters method will not change the data distribution in the empirical feature space, which is not feasible to improve the performance of kernel learning. This paper applies kernel optimization to enhance the performance of kernel discriminant analysis and proposes a so-called Kernel Optimization-based Discriminant Analysis (KODA) for face recognition. The procedure of KODA consisted of two steps: optimizing kernel and projecting. KODA automatically adjusts the parameters of kernel according to the input samples and performance on feature extraction is improved for face recognition. Simulations on Yale and ORL face databases are demonstrated the feasibility of enhancing KDA with kernel optimization.
Towards Flexible Dialogue Management Using Frames
Authors: Tomáš Nestorovič
Venue: Proceedings of the 12th International Conference on Text, Speech and Dialogue (2009)

This article is focused on our approach to a dialogue management using frames. As we show, even when dealing with this simple technique, the manager is able to provide a complex behaviour, as for example maintenance of context causality. Our research goal is to create a domain-independent dialogue manager accompanied with an easy-to-use dialogue flow editor. At the end of this paper, future work is outlined, as the manager is still under development. 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
Consumer perception of interface quality, security, and loyalty in electronic commerce
Authors: Hsin Hsin Chang, Su Wen Chen
Venue: Information and Management (2009)

Customer interface quality, perceived security, and customer loyalty are critical factors for success of an e-commerce website; however, the relationships among them are not fully understood. We proposed a model for testing the relationships among them and the important outcomes of the site: switching costs and customer loyalty. Data was collected to test the model using a web-based survey, and empirical analyses were performed using SEM. The analytical results demonstrated that customer interface quality and perceived security positively affected customer satisfaction and switching costs, and thus customer loyalty to an e-commerce website. Specifically, our study showed that switching costs positively moderated the effect of customer satisfaction on customer loyalty; this moderating effect is discussed.
Assistive Tool for Collaborative Learning of Conceptual Structures
Authors: Lauri Lahti
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

There is a demand for computational methods assisting learners to generate relevant associations for current context. Many concepts in natural language have ambiguous meanings implying alternative ways to define associations for them. It is crucial to develop collaborative methods that support free experiments with promising conceptual structures in learning. Methods for evaluating these structures in respect to the person's needs are also required. We propose a new collaborative ideation scheme and based on that we have implemented an assistive tool for learning conceptual structures in a collaborative Web environment.
Multi-agent team cooperation: A game theory approach
Authors: E. Semsar-Kazerooni, K. Khorasani
Venue: Automatica (Journal of IFAC) (2009)

The main goal of this work is to design a team of agents that can accomplish consensus over a common value for the agents' output using cooperative game theory approach. A semi-decentralized optimal control strategy that was recently introduced by the authors is utilized that is based on minimization of individual cost using local information. Cooperative game theory is then used to ensure team cooperation by considering a combination of individual cost as a team cost function. Minimization of this cost function results in a set of Pareto-efficient solutions. Among the Pareto-efficient solutions the Nash-bargaining solution is chosen. The Nash-bargaining solution is obtained by maximizing the product of the difference between the costs achieved through the optimal control strategy and the one obtained through the Pareto-efficient solution. The latter solution results in a lower cost for each agent at the expense of requiring full information set. To avoid this drawback some constraints are added to the structure of the controller that is suggested for the entire team using the linear matrix inequality (LMI) formulation of the minimization problem. Consequently, although the controller is designed to minimize a unique team cost function, it only uses the available information set for each agent. A comparison between the average cost that is obtained by using the above two methods is conducted to illustrate the performance capabilities of our proposed solutions.
General Platform for Water Resources Optimal Operation: Lp_SolveJ
Authors: Bai Wei, Jiang Yunzhong, Zhao Jianshi, Lei Xiaohui
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

The paper has successfully set up a general platform for Water Resources Optimal Operation System, Lp_SolveJ, through packaging the general optimization package of Lp_Solve which is open-source. The platform, which is developed with Java language, is entitled with most functions similar to GAMS. Meanwhile, the platform also packages the other functions which are common but useful for many Water Resources Optimal Allocation Models. Moreover, the platform has been successfully applied to the Weihe Water Resources Optimal Operation System, and the high level of integration and rapid development of the software system are realized. The general platform has realized the reduction of development cost on Water Resource Optimal Allocation Model, promotion of the efficiency of the models and other systems development and improvement of the software technologies of the models and related systems.
Soft authentication and behavior analysis using a chair with sensors attached: hipprint authentication
Authors: M. Yamada, K. Kamiya, M. Kudo, H. Nonaka, J. Toyama
Venue: Pattern Analysis Applications (2009)

An authentication system using a chair with sensors attached is described. Pressure distribution (hipprint) measured by network-connected sensors on the chair is used for identifying the person sitting on the chair. Hipprint information is not sufficient for maintaining a high level of security but is sufficient for providing personalized services such as automatic log-in at home or in a small office. In experiments, we obtained correct identification rates of 99.6% for five people and 93.2% for ten people. A false rejection rate of 9.2% and a false acceptance rate of 1.9% were achieved using another group of 20 people. The results also showed that changes in hipprints can be used to estimate what the person sitting on the chair is doing, for example, using a mouse or leaning back.
Predictive Control for Varying Sampling Period System in NCS
Authors: Bicheng Lei, Jinbiao Chen, Shiqinq Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

A predictive control based on online LSSVM (Least Squares Support Vector Machine) is proposed to aim at the problem of varying sampling period in NCS (Networked Control System). Utilizing training data window and training data threshold, an online training method which adapts to control systems is developed based on LSSVM. When kernel function is linear in online LSSVM, the solution of control variable can be solved integrating the method of predictive control. The simulations show that the method has excellent robustness to varying sampling period with time-delay and packer loss in NCS.
Predicting the performance of IDA* with conditional distributions
Authors: Uzi Zahavi, Ariel Feiner, Neil Burch, Robert C. Holte
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 1 (2008)

(Korf, Reid, and Edelkamp 2001) introduced a formula to predict the number of nodes IDA* will expand given the static distribution of heuristic values. Their formula proved to be very accurate but it is only accurate under the following limitations: (1) the heuristic must be consistent; (2) the prediction is for a large random sample of start states (or for large thresholds). In this paper we generalize the static distribution to a conditional distribution of heuristic values. We then propose a new formula for predicting the performance of IDA* that works well for inconsistent heuristics (Zahavi et al. 2007) and for any set of start states, not just a random sample. We also show how the formula can be enhanced to work well for single start states. Experimental results demonstrate the accuracy of our method in all these situations.
Rhetorical models for computational systems: an interdisciplinary approach to reusable, tailorable medical information
Authors: Ashley R. Kelly, Allan McDougall, Nike Abbott
Venue: Proceedings of the 27th ACM international conference on Design of communication (2009)

This paper aims to bring rhetorical scholarship to the field of Natural Language Processing (NLP) and further its inclusion in health communication studies. Much work in NLP relies upon statical machine learning techniques, which, while valuable, are still limited in their abilities. Rhetorical theory, the study of suasions, offers a new paradigm for NLP research and development. In this pilot study, we use rhetorical theory as an analytic approach to modeling discourse patterns in a highly tailor corpus of texts. Along with our findings, we argue that rhetorical theory and analysis can further the creation of both tailored documentation and computationally-generated texts.
Integrated Computer-Aided Innovation: The PROSIT approach
Authors: Umberto Cugini, Gaetano Cascini, Maurizio Muzzupappa, Vincenzo Nigrelli
Venue: Computers in Industry (2009)

The paper presents a methodology aimed at the improvement of the product development cycle through the integration of Computer-Aided Innovation (CAI) with Optimization and PLM systems. The interoperability of these tools is obtained through the adoption of Optimization systems as a bridging element between CAI and PLM systems. This methodology was developed within the PROSIT project (http://www.kaemart.it/prosit). The paper describes the main issues related to the integration of these complementary instruments and the solutions proposed by the authors. More specifically, the main idea of the PROSIT project to link CAI and Optimization systems is the adoption of the latter tools not just to generate optimized solutions, but also as a design analysis tool, capable to outline critical aspects of a mechanical component in terms of conflicting design requirements or parameters. CAI systems are then applied to overcome the contradictory requirements. The second step, i.e. the integration between Optimization and PLM systems, has been obtained through the development of Knowledge-Based (KB) tools to support designer's activities. More in details, they provide means to analyze and extrapolate useful geometrical information from the results provided by the optimizer, as well as semi-automatic modelling features for some specific geometries. A detailed example related to the design of a plastic wheel for light moto-scooters clarifies the whole procedure. The paper integrates, extends and updates topics presented in Cugini et al., Barbieri et al. and Cascini et al. [U. Cugini, G. Cascini, M. Ugolotti, Enhancing interoperability in the design process-the PROSIT approach, in: Proceedings of the 2nd IFIP Working Conference on Computer-Aided Innovation, Brighton (MI), USA, October 8-9, 2007, published on Trends in Computer-Aided Innovation, Springer, ISBN 978-0-387-75455-0, pp. 189-200; L. Barbieri, F. Bruno, M. Muzzupappa, U. Cugini, Design automation tools as a support for knowledge management in topology optimization, in: Proceedings of the ASME 2008 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2008), Brooklyn, New York, USA, August 3-6, 2008; L. Barbieri, F. Bruno, M. Muzzupappa, U. Cugini, Guidelines for an efficient integration of topological optimization tools in the product development process, in: Third International Conference on Design Computing and Cognition, Atlanta, USA, June 23-25, 2008; G. Cascini, P. Rissone, F. Rotini, From design optimization systems to geometrical contradictions, in: Proceedings of the 7th ETRIA TRIZ Future Conference, Frankfurt, Germany, November 6-8, 2007].
Assessment of Surface Contamination of High Voltage Insulator Based on Evidence Theory
Authors: Hou Yandong, Chen Zhiguo, Wen Chenglin
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

To overcome the bad performance of surface contamination assessment for the current high voltage insulator, which induced by a lot of uncertainties existing in measurement information and the thing between measurement and assessment result, a novel assessment strategy is proposed based on D-S evidence theory in this paper. Firstly, the D-S reasoning model is established to assess contamination extent on the basis of information or evidence. Secondly, the effective representation for uncertainties is solved by processing obscurely the corresponding measurement information. Afterwards, the uncertain reasoning for assessment result is finished based on fuzzified uncertain information by the proposed novel algorithm for the insulator contamination assessment. Finally, computer simulation example is illustrated to prove the validity of the proposed novel algorithm.
Thermal Error Analysis and Optimal Partition Method Based Error Modeling for a Machine Tool
Authors: Rui Zhu, Shijie Dai, Yonglu Zhu, Yinbiao Guo
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Thermally induced errors have been significant factors affecting machine tool accuracy. It is very significant to study how to accurately simulate the spindle thermal errors. In this paper a novel concept of thermal error modes analysis is proposed to develop a better understanding of the thermal deformation on a machine tool. The basic thermal error modes for a structural element are the thermal expansion and bending mode. The selection of sensors location can be improved based on the thermal error modes analysis with finite element method for reference. Through optimal partition method and stepwise regression, key temperature variables are identified, the number of thermal sensors has been reduced from 16 to 3. The thermal error modeling based on the proposed method has been applied to a machine for verification, and the results show the thermal error model is satisfying for thermal error prediction.
Learning Bayesian networks for semantic frame composition in a spoken dialog system
Authors: Marie-Jean Meurs, Fabrice Lefèvre, Renato de Mori
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers (2009)

A stochastic approach based on Dynamic Bayesian Networks (DBNs) is introduced for spoken language understanding. DBN-based models allow to infer and then to compose semantic frame-based tree structures from speech transcriptions. Experimental results on the French Media dialog corpus show the appropriateness of the technique which both lead to good tree identification results and can provide the dialog system with n-best lists of scored hypotheses.
Natural language generation for text-to-text applications using an information-slim representation
Authors: Radu Soricut
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 4 (2005)

I propose a representation formalism and algorithms to be used in a new language generation mechanism for text-to-text applications. The generation process is driven by both text-specific information encoded via probability distributions over words and phrases derived from the input text, and general language knowledge captured by n-gram and syntactic language models.
Using the `Balance Model' for Occupational Safety and Health Promotion
Authors: Michael J. Smith, Pascale Carayon
Venue: Proceedings of the International Conference on Ergonomics and Health Aspects of Work with Computers: Held as Part of HCI International 2009 (2009)

The `balance model' of job design was introduced in 1989 [1] and expanded to the enterprise level later [2 - 7]. The main idea of this model is that various components of the workplace interact to increase and decrease workplace safety and health risk, and that careful `balancing' of the components can produce reduced risk and improved employee safety and health. In this paper we discuss how the `balance model' can be used to promote occupational safety and health.
Practical Research on the Fuzzy Risk of Landfall Typhoon - A Case Study of Zhejiang Province
Authors: Lihua Feng, Gaoyuan Luo
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

The simplest way to perform fuzzy risk assessment is to calculate the fuzzy expected value and convert fuzzy risk into non-fuzzy risk, converting it to a clear number. In doing so, there is a transition from a fuzzy set to clear set. Under such ana level, three risk values can be calculated. As adopts all values throughout the set, it is possible to obtain a series of risk values. Therefore, the fuzzy risk can be a multi-valued risk or set-valued risk. Calculation of the fuzzy expected value of landfall typhoon risk in Zhejiang province has been performed based on the interior-outer set model. Selection of an a value depends on the confidence in different groups of people, while selection of a conservative risk value or venture risk value depends on the risk preference of these people.
The IT Skeptic Looks at CMDB
Authors: Rob England
Venue:  (2009)

Making the case against the concept of CMDB as defined by ITIL, this book proposes better spending the money elsewhere and doing the job with "wetware": people. The IT Skeptic is probably best known for strident criticism of the concept of CMDB as described in ITIL, and of ITIL3's extensions of the concept to CMS and SKMS. This book is a collection of content from the IT Skeptic blog http://www.itskeptic.org (and elsewhere) on the topic of CMDB - collated, edited, improved and clarified, along with some original material. 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
Organized Adaption in Multi-Agent Systems, 1st edition
Authors: George Vouros, Alexander Artikis, Kostas Stathis, Jeremy Pitt
Venue:  (2009)

This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Organised Adaptation in Multi-Agent Systems, OAMAS 2008, held in Estoril, Portugal, in May 2008 as an associated event of AAMAS 2008. The 6 revised full papers presented together with 2 invited lectures were carefully selected during two rounds of reviewing and improvement for inclusion in the book. The papers address all current issues of organized adaptation, for purposes of self-healing, self-protection, self-management, or self-regulation with a special focus on organised adaptation by considering real-world applications of autonomic computing, life-cycle of norms in agent societies, norm change, organizational models of adaptive MAS, and simulations of adaptive MAS.
Users' Behavior Character Analysis and Classification Approaches in Enterprise Networks
Authors: Tao Qin, Xiaohong Guan, Yi Long, Wei Li
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

Users’ character analysis and control are important for enterprise network management and security. In this paper, we propose a novel method to classify the users’ behaviors into different security levels and control their behaviors with corresponding strategies. Firstly, Dflow model and several traffic features, including the number of packets, number of flows, flow durations, etc., are proposed to capture the users’ characters. They are obtained from different layers of the OSI communication model, such as the network layer and transport layer. Secondly, we define scores for users’ behaviors according to their traffic patterns using a flexible method with adjustable weight factors, and different monitoring aims can be achieved by adjusting the weight factors. Based on the behavior score, the users’ behaviors are classified into three security levels: low-dangerous, mid-dangerous and high-dangerous levels. Finally, the mid (high)-dangerous users’ behaviors are controlled by a dynamic quarantine method based on the principle of “assume guilty before proven innocent”. We quarantine a user whenever its behavior is classified into the mid (high)-dangerous levels by blocking its traffic. Then the quarantine is released after a short time, even if the users have not been inspected by security managers yet. In this way, we can remove the potential threats from the monitoring network without interfering the users’ normal activities severely. The experimental results based on actual traffic data show that the methods proposed in this paper are simple, flexible and of high accuracy, which can be used for real-time enterprise network monitoring and management.