ppxscal/embedding_network huggingface dataset:
Media Equation Revisited: Do Users Show Polite Reactions towards an Embodied Agent?
Authors: Laura Hoffmann, Nicole C. Krämer, Anh Lam-Chi, Stefan Kopp
Venue: Proceedings of the 9th International Conference on Intelligent Virtual Agents (2009)

In human-computer interaction social behavior towards computers like flattery, reciprocity, and politeness have been observed [1]. In order to determine whether the results can be replicated when interacting with embodied conversational agents (ECA), we conducted an experimental study. 63 participants evaluated the ECA Max after a 10-minute conversation. The interview situation was manipulated in three conditions: Being questioned by Max himself, being questioned by paper-and-pencil questionnaire in the same room facing Max, and being questioned by means of a paper-and-pencil questionnaire in another room. Results show that participants were more polite to the ECA in terms of a better evaluation when they were questioned by Max himself compared to when they were questioned more indirectly by paper-and-pencil questionnaire in the same room. In contrast to previous studies [2] it was ruled out that some participants thought of the programmer when they were asked to evaluate the ECA. Additionally, user variables (e.g. gender, computer literacy) show an impact on the on the evaluation of the ECA.
A Shape Measurement System for Cold-Rolled Steel Strip Based on DSP
Authors: Zhiming Li, Yan Peng, Bingqiang Yu, Hongmin Liu
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

Research and application on shape meter are introduced, especially in China. A self-made MPIBPST(Multi-Roll-Piece Inner Bore Piezomagnetic Sensor Type) shape meter roll for cold-rolled steel strip was applied in to the industrial test. MPIBPST means that one shape meter roll is made up of some roll-piceses, there are two bores in each roll picesce, and each inner bore contains one piezomagnetic sensor. In order to combine with the work of the shape meter roll and display the real-time shape, a shape measurement system based on TMS320F2812 is designed and developed. Measurement principle on shape, hardware and software design are described in detail. The running in the industrial field for about six months shows that shape meter has the advantages of signal stability and credibility, stronger anti-interference ability, high-precision, and meets the measuring requirements on the industrial field. The successful application of the MPIBPST shape meter lays a solid foundation for the further research on AFC (Automatic Flatness Control System) in China. The design on this system also has a reference value for similar work.
A heuristic solution approach for VMI cyclic inventory routing problem
Authors: Hong-Zhen Zheng, Dian-Hui Chu, De-Chen Zhan, Xiao-Fei Xu
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

It presents a practical modeling and solution approach for VMI cyclic inventory routing problem (IRP) under constant customer demand rates. In VMI, the supplier takes the responsibility for replenishing his customers’ inventories based on their consumption data, with the aim of optimizing the overall distribution and inventory costs throughout the supply chain. The objective of this IRP problem is to determine a distribution plan that minimizes average distribution and inventory costs without causing any stockout at the customers. Deterministic constant customer demand rates are assumed and therefore, a long-term cyclical approach is adopted, integrating fleet sizing, vehicle routing, and inventory management. Further, realistic side-constraints such as limited storage capacities, driving time restrictions and constant replenishment intervals are taken into account. A heuristic solution approach is proposed, analyzed and evaluated against a comparable heuristic. The heuristic solution approach is well capable of finding the appropriate cost trade-off under varying circumstances. Furthermore, when fleet sizing is not considered, the heuristic outperforms an existing heuristic in finding the two-way trade-off between distribution and inventory costs.
Geometric Multispectral Camera Calibration
Authors: Johannes Brauers, Til Aach
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

A large number of multispectral cameras uses optical bandpass filters to divide the electromagnetic spectrum into passbands. If the filters are placed between the sensor and the lens, the different thicknesses, refraction indices and tilt angles of the filters cause image distortions, which are different for each spectral passband. On the other hand, the lens also causes distortions which are critical in machine vision tasks. In this paper, we propose a method to calibrate the multispectral camera geometrically to remove all kinds of geometric distortions. To this end, the combination of the camera with each of the bandpass filters is considered as single camera system. The systems are then calibrated by estimation of the intrinsic and extrinsic camera parameters and geometrically merged via a homography. The experimental results show that our algorithm can be used to compensate for the geometric distortions of the lens and the optical bandpass filters simultaneously.
Interactive Whiteboard Teaching in English Education Based on Dual Code Theory and Bloom Teaching Quality
Authors: Chia-Ming Liu, Bo-Yen Wang, Yuan-Hsun Liao, Ming-Hsiang Su, Pao-Ta Yu
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

The current trend is towards multimedia educational materials in the classroom for Cognitive Theory of Multimedia Learning. Electronic Interactive Whiteboard which is innovative equipment can be used to improve instructional environment and to increase the teacher-student interaction. But there is no appropriate management and integration of teaching with multimedia and whiteboard. This thesis designs a humanized teaching system with two-column whiteboard which conveniently manages activities in the classroom. A teacher uses two-column scenario to present the teaching materials of dual-channels, image and text to integrate the teaching materials of complete lecture and the designs of teaching activities for classroom management. In summary, teachers will be more lively and interesting in teaching and easily to realize classroom management and students have more motivation in learning.
Spatial multi-taper spectrum estimation for nuclear reactor modelling
Authors: C. J. Scarrott, G. Tunnicliffe Wilson
Venue: Computational Statistics Data Analysis (2009)

Multi-taper univariate and cross-spectral analysis is used to investigate the structure of spatial variation in the temperatures measured across the surface of a nuclear reactor. The construction of the spatial tapers over the approximate circular reactor surface is described, along with derivation and sampling properties of the spectral estimates. It is shown how the analysis can be used to identify regular patterns in the temperature measurements, and the spatial transfer function between the reactor temperatures and fuel characteristics. The results are used to specify a parametric regression model for the temperature measurements.
Significance Tests and Statistical Inequalities for Segmentation by Region Growing on Graph
Authors: Guillaume Née, Stéphanie Jehan-Besson, Luc Brun, Marinette Revenu
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

Bottom-up segmentation methods merge similar neighboring regions according to a decision rule and a merging order. In this paper, we propose a contribution for each of these two points. Firstly, under statistical hypothesis of similarity, we provide an improved decision rule for region merging based on significance tests and the recent statistical inequality of McDiarmid. Secondly, we propose a dynamic merging order based on our merging predicate. This last heuristic is justified by considering an energy minimisation framework. Experimental results on both natural and medical images show the validity of our method. 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
Systems Biology Platform for Mechanism Clarification of TCM
Authors: Yun Wang, JinLing Hao, YanJiang Qiao
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

According to the mechanism clarification problem of Traditional Chinese Medicine (TCM), a systems biology platform was constructed using the related achievements as the basis, Entity Grammar Systems as the framework and database construction, data mining, qualitative reasoning as the kernel techniques. This platform is composed of TCM active components database, TCM prescription database, drug targets database, biological molecular interaction network database, reasoning engine and user interface. After the TCM prescription is selected, the mechanism model can be generated automatically by the platform, which can be used to further study of TCM. This work will contribute to the modernization of Chinese Medicine.
Virtual Autonomous Agents in an Informed Environment for Risk Prevention
Authors: Lydie Edward, Domitile Lourdeaux, Jean-Paul Barthès
Venue: Proceedings of the 9th International Conference on Intelligent Virtual Agents (2009)

This paper presents the work to enhance virtual agents with the abilities of interacting with the environment and planning based on goals and internal states. We describe how we designed intelligent virtual agents that are able to perform tasks on a high-risk plant and that respond to expected as well as unexpected events. We proposed an informed virtual environment where agents are able to interact with other agents or avatars. By enhancing their reasoning abilities with cognitive rules and the environment with knowledge the virtual agents are able to exhibit deviated behaviors.
Conformant planning for domains with constraints: a new approach
Authors: Tran Cao Son, Phan Huy Tu, Michael Gelfond, A. Ricardo Morales
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 3 (2005)

The paper presents a pair of new conformant planners, CPApc and CPAph, based on recent developments in theory of action and change. As an input the planners take a domain description D in action language AL which allows state constraints (non-stratified axioms), together with a set of CNF formulae describing the initial state, and a set of literals representing the goal. We propose two approximations of the transition diagram T defined by D. Both approximations are deterministic transition functions and can be computed efficiently. Moreover they are sound (and sometimes complete) with respect to T. In its search for a plan, an approximation based planner analyses paths of an approximation instead of that of T. CPApc and CPAph are forward, best first search planners based on this idea. We compare them with two state-of-the-art conformant planners, KACMBP and Conformant-FF (CFF), over benchmarks in the literature, and over two new domains. One has large number of state constraints and another has a high degree of incompleteness. Our planners perform reasonably well in benchmark domains and outperform KACMBP and CFF in the first domain while still working well with the second one. Our experimental result shows that having an integral part of a conformant planner to deal with state constraints directly can significantly improve its performance extending a similar claim for classical planners in (Thiebaux. Hoffmann, & Nebel 2003).
Logical Foundations of XML and XQuery
Authors: Maarten Marx
Venue: Reasoning Web. Semantic Technologies for Information Systems: 5th International Summer School 2009, Brixen-Bressanone, Italy, August 30 - September 4, 2009, Tutorial Lectures (2009)

XML is the underlying representation formalism of much web-data. Thus to reason about web-data essentially boils down to reasoning about data in XML format. In this course the students learn about the main languages for querying XML data: XPath and XQuery. The course contains both theoretical work and practical examples. 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
RRPS: A Ranked Real-Time Publish/Subscribe Using Adaptive QoS
Authors: Xinjie Lu, Xin Li, Tian Yang, Zaifei Liao, Wei Liu, Hongan Wang
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part II (2009)

Publish-Subscribe paradigm has been widely employed in Real-Time applications. However, the existing technologies and models only support a simple binary concept of matching: an event either matches a subscription or it does not; for instance, a production monitoring event will either match or not match a subscription for production anomaly. Based on adaptive Quality of Service (QoS) management, we propose a novel publish/subscribe model, which is implemented as a critical service in a real-time database Agilor. We argue that publications have different relevance to a subscription. On the premise of guaranteeing deadline d, a subscriber approximately receives k most relevant publications, where k and d are parameters defined by each subscription. After the architecture of our model is described, we present negotiations between components and scalable strategies for adaptive QoS management. Then, we propose an efficient algorithm to select different strategies adaptively depending on estimation of current QoS. Furthermore, we experimentally evaluate our model on real production data collected from manufacture industry to demonstrate its applicability in practice.
Task Patterns as Means to Experience Sharing
Authors: Benedikt Schmidt, Uwe V. Riss
Venue: Proceedings of the 8th International Conference on Advances in Web Based Learning (2009)

Task Patterns are designed as means of activity-centric sharing of knowledge work experience. They are seamlessly integrated in a semantic infrastructure that help preserve the work context and enables a Task Pattern life-cycle. This paper presents a service oriented approach towards Task Patterns. We introduce Abstraction Services, Decisions and Problems as elementary services that support task execution in knowledge work. The Task Pattern approach has been realized on the NEPOMUK Social Semantic Desktop (SSD) to demonstrate the integration of experience sharing and re-use in a knowledge work context.
Bayesian Classification of Image Structures
Authors: D. Goswami, S. Kalkan, N. Krüger
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

In this paper, we describe work on Bayesian classifiers for distinguishing between homogeneous structures, textures, edges and junctions. We build semi---local classifiers from hand-labeled images to distinguish between these four different kinds of structures based on the concept of intrinsic dimensionality. The built classifier is tested on standard and non-standard images.
A smart home application to eldercare: Current status and lessons learned
Authors: Marjorie Skubic, Gregory Alexander, Mihail Popescu, Marilyn Rantz, James Keller
Venue: Technology and Health Care (2009)

To address an aging population, we have been investigating sensor networks for monitoring older adults in their homes. In this paper, we report ongoing work in which passive sensor networks have been installed in 17 apartments in an aging in place eldercare facility. The network under development includes simple motion sensors, video sensors, and a bed sensor that captures sleep restlessness and pulse and respiration levels. Data collection has been ongoing for over two years in some apartments. This longevity in sensor data collection is allowing us to study the data and develop algorithms for identifying alert conditions such as falls, as well as extracting typical daily activity patterns for an individual. The goal is to capture patterns representing physical and cognitive health conditions and then recognize when activity patterns begin to deviate from the norm. In doing so, we strive to provide early detection of potential problems which may lead to serious health events if left unattended. We describe the components of the network and show examples of logged sensor data with correlated references to health events. A summary is also included on the challenges encountered and the lessons learned as a result of our experiences in monitoring aging adults in their homes.
How to Equip Para-aramide Yarns with Electro-conductive Properties
Authors: Anne Schwarz, Jean Hakuzimana, Philippe Westbroek, Lieva Van Langenhove
Venue: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (2009)

Electro-conductive textiles are increasingly demanded in our today’s technology-driven world as they combine functionalities with high wearing comfort. Thus, they are, for instance, very suitable for being applied as electrodes integrated in clothing to measure biomedical parameters of a person. For this purpose they need to be modified to provide reliable electro-conductive properties. This can be achieved by depositing metals on the textile surface. Copper and gold are good materials to be used for this purpose because of their outstanding electro-conductive properties and possibility to deposit them in form of a thin layer on the surface of a fiber. In this work preference was given to copper. Hence, a thin layer of copper was deposited on synthetic yarns by means of an electroless deposition. This paper states the coating method for the copper deposition on para-aramide yarns. Further, it reports the first results on the characterization of the copper layer and the performance of the resulting yarns.
Using Flash Memory as Storage for Read-Intensive Database
Authors: Ming Du, Yan Zhao, Jiajin Le
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

Flash memory is now widely deployed as data storage for mobile devices such as mobile phones, digital cameras and PDA's. Since the gap of access time to main memory and disk continue growing, flash memory becomes more attractive for speeding up data analysis application as a faster non-volatile storage in laptops and personal computers. We may expect that flash memory will finally take the place of magnetic disk in the next few years. Therefore, it is possible for us to consider running a database system on the flash computing platforms. However, disk-based database technology can not be used on flash memory directly because of its different characteristics from magnetic disk. In this paper, we make an analysis of the characteristics of flash memory, and propose that a read-intensive database system should be run on the flash platform. It makes use of the characteristics of flash memory effectively to acquire more benefits by using traditional database technology on flash memory.
Aquifer Vulnerability Assessment to Petroleum Contaminants Based on Fuzzy Variable Set Theory and Geographic Information System
Authors: Li Qingguo, Ma Zhenmin, Fang Yunzhi, Chen Shouyu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

It is a common environmental and hydro-geological problem that groundwater system is contaminated by petroleum hydrocarbons. An important step of pollution control and treatment is aquifer vulnerability assessment. In this paper, a karst fissure groundwater system where a refinery located above is taken as research object. Firstly, we analysis and determine principal factors impacting aquifer vulnerability to petroleum contaminants. These factors are used as evaluating indexes in the assessment. Secondly, with the consideration of uncertain and spatial attributes in assessment, a fuzzy vulnerability assessment method is proposed based on fuzzy variable set theory and geographic information system (GIS). Using the models and method, we finally obtained the assessment results map of aquifer vulnerability and it shows that the models and methodology are reasonable and feasible.
Design and Implementation of a Novel Embedded Real-Time Kernel Based on Hybrid Architecture
Authors: Weihua Xu, Qiang Huang, Xiaofeng Liang
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

With the requirements of scheduling time triggered and event-triggered tasks, simply adopting cooperative scheduling or preemptive scheduling is more difficult to satisfy the practical demand in embedded real-time operating system. In order to integrate different scheduling modes and triggering modes, to obtain their advantages for improving scheduling performance, a real-time kernel SinewOS based on hybrid architecture is proposed in this paper. SinewOS can efficiently schedule multitask including cooperative and preemptive tasks in hybrid mode. It provides interrupt handling mechanism to improve system responsiveness after introducing cooperative tasks. Furthermore, the time-trace mechanism and task overrun handling methods can improve the dependability and determinability of SinewOS with less jitter. In the comparison of systems performance, experimental results show that SinewOS consumes less memory, reduces CPU overhead and provides fast event responsiveness comparing to existing COTS RTOS.
The Sensitivity of Latent Dirichlet Allocation for Information Retrieval
Authors: Laurence A. Park, Kotagiri Ramamohanarao
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (2009)

It has been shown that the use of topic models for Information retrieval provides an increase in precision when used in the appropriate form. Latent Dirichlet Allocation (LDA) is a generative topic model that allows us to model documents using a Dirichlet prior. Using this topic model, we are able to obtain a fitted Dirichlet parameter that provides the maximum likelihood for the document set. In this article, we examine the sensitivity of LDA with respect to the Dirichlet parameter when used for Information retrieval. We compare the topic model computation times, storage requirements and retrieval precision of fitted LDA to LDA with a uniform Dirichlet prior. The results show there there is no significant benefit of using fitted LDA over the LDA with a constant Dirichlet parameter, hence showing that LDA is insensitive with respect to the Dirichlet parameter when used for Information retrieval.
A Word Similarity Based Belief Network IR Model with Two Term Layers
Authors: Xu Jianmin, Tang Wansheng, J. M. Xu, Chen Zhenya, Luo Zhaohui
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

the retrieval performance of an information system usually increases when it uses the relationships among the terms in a given document collection. To resolve the problem that Belief Network model does not use term relationships, this paper presents an extended model with two term layers by using word similarity among document index terms, and discusses the new model's topology and information retrieval process. The experimental result shows that the extended model has better performance than the original one.