ppxscal/embedding_network huggingface dataset:
Learning as a practical achievement: an interactional perspective
Authors: Alan Zemel, Murat Perit Cakir, Nan Zhou, Gerry Stahl
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

Despite the definitional difficulties associated with learning and instruction, they evidently occur as social realities for those involved in the practical, day-to-day work of learning and instructing. In this paper we offer an interactional perspective of learning and instruction by relying on the commonsense recognizability of learning to investigate what participants themselves do to achieve and recognize learning's work.
Consumer Returns Policies and Supply Chain Performance
Authors: Xuanming Su
Venue: Manufacturing Service Operations Management (2009)

This paper develops a model of consumer returns policies. In our model, consumers face valuation uncertainty and realize their valuations only after purchase. There is also aggregate demand uncertainty, captured using the conventional newsvendor model. In this environment, consumers decide whether to purchase and then whether to return the product, whereas the seller sets the price, quantity, and refund amount. Using our model, we study the impact of full returns policies (e.g., using 100% money-back guarantees) and partial returns policies (e.g., when restocking fees are charged) on supply chain performance. Next, we demonstrate that consumer returns policies may distort incentives under common supply contracts (such as manufacturer buy-backs), and we propose strategies to coordinate the supply chain in the presence of consumer returns. Finally, we explore several extensions and demonstrate the robustness of our findings.
Synthetic Video Generation with Camera Motion Patterns to Evaluate Sprite Generation
Authors: Yi Chen, Ramazan S. Aygun
Venue: Proceedings of the 2009 First International Conference on Advances in Multimedia (2009)

There is no proper objective method of evaluating sprite generation methods due to absence of the ground truth sprite images. In this paper, we propose several camera motion patterns to generate synthetic videos from original image. Our camera motion patterns include zigzag, spiral, earthquake, and zoom patterns. Subsequently, we apply sprite generation algorithm on the synthetic video. Objective evaluation is performed by comparing original image and generated sprite image based on Peak-Signal-to-Noise Ratio (PSNR), size and error on motion parameter estimation. Our results indicate that our picture PSNR, size, and error on motion parameters are good indication of the sprite quality.
Product Demand Forecasting in Knowledgeable Manufacturing Based on Demand Forecasting Net
Authors: Xiangang Meng, Hongsen Yan, Yufang Wang
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

In order to forecast product demand on the conditions of demand changing abruptly, this paper presents a product demand forecasting net model for fast forecasting, the model forecast demand of product by analyzing and using factors which influence product demand, such as price changes of product, supply changes of product, and demand changes of competing product and materials. Theoretical analysis verifies its feasibility and validity.
Process Modeling of Agent Federation-Based Rapid Design
Authors: Minghai Yuan, Liao Zhu, Huanmin Xu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Based on the study of the process of Agent federation-based rapid design and Petri nets (PN), the modeling and analysis of task conflict, design conflict and resources conflict in each stage of rapid design are set up, and then the detailed modeling of the whole process of agent federation-based rapid design is presented, which provides a design frame from the assigns to the design result for rapid design.
An architectural approach to ensuring consistency in hierarchical execution
Authors: Robert E. Wray, John E. Laird
Venue: Journal of Artificial Intelligence Research (2003)

Hierarchical task decomposition is a method used in many agent systems to organize agent knowledge. This work shows how the combination of a hierarchy and persistent assertions of knowledge can lead to difficulty in maintaining logical consistency in asserted knowledge. We explore the problematic consequences of persistent assumptions in the reasoning process and introduce novel potential solutions. Having implemented one of the possible solutions, Dynamic Hierarchical Justification, its effectiveness is demonstrated with an empirical analysis.
Color Based Bags-of-Emotions
Authors: Martin Solli, Reiner Lenz
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

In this paper we describe how to include high level semantic information, such as aesthetics and emotions, into Content Based Image Retrieval. We present a color-based emotion-related image descriptor that can be used for describing the emotional content of images. The color emotion metric used is derived from psychophysical experiments and based on three variables: activity, weight and heat. It was originally designed for single-colors, but recent research has shown that the same emotion estimates can be applied in the retrieval of multi-colored images. Here we describe a new approach, based on the assumption that perceived color emotions in images are mainly affected by homogenous regions, defined by the emotion metric, and transitions between regions. RGB coordinates are converted to emotion coordinates, and for each emotion channel, statistical measurements of gradient magnitudes within a stack of low-pass filtered images are used for finding interest points corresponding to homogeneous regions and transitions between regions. Emotion characteristics are derived for patches surrounding each interest point, and saved in a bag-of-emotions, that, for instance, can be used for retrieving images based on emotional content. 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
The virtual solar-terrestrial observatory: a deployed semantic web application case study for scientific research
Authors: Deborah McGuinness, Peter Fox, Luca Cinquini, Patrick West, Jose Garcia, James L. Benedict, Don Middleton
Venue: Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2 (2007)

The Virtual Solar-Terrestrial Observatory is a production semantic web data framework providing access to observational datasets from fields spanning upper atmospheric terrestrial physics to solar physics. The observatory allows virtual access to a highly distributed and heterogeneous set of data that appears as if all resources are organized, stored and retrieved/used in a common way. The end-user community comprises scientists, students, data providers numbering over 600 out of an estimated community of 800. We present details on the case study, our technological approach including the semantic web languages, tools and infrastructure deployed, benefits of AI technology to the application, and our present evaluation after the initial nine months of use.
Gem #55: introduction to Ada / Java interfacing
Authors: Quentin Ochem
Venue: ACM SIGAda Ada Letters (2009)

Interfacing Ada and Java is a very tricky problem. As opposed to C, C++, or Fortran, the two languages execute on two different environments, Java on the JVM and Ada directly on the underlying OS. For this reason, it is not possible to directly bind Java functions to natively compiled Ada through a pragma Import. Two solutions are offered to the developer: either compiling the code directly to Java bytecode, using GNAT for the JVM, or using the Java Native Interface (JNI), allowing communication between the native and JVM environments. In this Gem we will take a look at the latter. Using this JNI layer manually is very error-prone and tedious. Fortunately, AdaCore provides a set of tools for automating the interface generation, through GNAT-AJIS. This Gem is the first of a series showing how this toolset can be used to create a mixed Ada /Java application.
How to study learning processes? reflection on methods for fine-grain data analysis
Authors: Orit Parnafes, David Hammer, Loucas Louca, Bruce Sherin, Victor Lee, Moshe Krakowski, Andrea diSessa, Daniel Edelson
Venue: Proceedings of the 8th international conference on International conference for the learning sciences - Volume 3 (2008)

This symposium addresses methodological issues in studying children's knowledge and learning processes. The class of methods discussed here looks at processes of learning in fine-grained detail, through which a theoretical framework evolves rather than is merely applied. This class of methodological orientations to studying learning processes diverges from more common ones in several important ways: 1) Attention to diverse features of the learning interaction; 2) conducting a moment-by-moment analysis, zooming in on the fine details of the studied processes; 3) rather than proving or applying a theory, the objective is to make theoretical innovations, or to develop a "humble theory." The challenge of using such techniques is that, by their nature, they do not follow a strongly delineated procedure, especially not the usual sort of coding. This symposium attempts to begin addressing the methodological issues by reflecting on several cases of data analysis.
NJFun: a reinforcement learning spoken dialogue system
Authors: Diane Litman, Satinder Singh, Michael Kearns, Marilyn Walker
Venue: Proceedings of the ANLP-NAACL 2000 Workshop on Conversational Systems (2000)

This paper describes NJFun, a real-time spoken dialogue system that provides users with information about things to do in New Jersey. NJFun automatically optimizes its dialogue strategy over time, by using a methodology for applying reinforcement learning to a working dialogue system with human users.
Blended Interaction Design: A Spatial Workspace Supporting HCI and Design Practice
Authors: Florian Geyer
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

This research investigates novel methods and techniques along with tool support that result from a conceptual blend of human-computer interaction with design practice. Using blending theory with material anchors as a theoretical framework, we frame both input spaces and explore emerging structures within technical, cognitive, and social aspects. Based on our results, we will describe a framework of the emerging structures and will design and evaluate tool support within a spatial, studio-like workspace to support collaborative creativity in interaction design.
Twins (1): Extending SQL to Support Corporation Privacy Policies in Social Networks
Authors: Sampson Pun, Amir H. Chinaei, Ken Barker
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

Twins are two extensions onto SQL to support user privacy in social networks: one is corporate-based and the other is user-centric, corresponding to well-known mandatory access control and discretionary access control models, respectively. This paper illustrates the former. The approach adds some predicates to the CREATE TABLE command to capture common corporate-based user privacy requirements, such as purpose, generalization, and retention, required by social networks desiring to support privacy. Hence, the corporation, when creating the underlying databases, defines what the mandatory privacy policies are with which all users must comply. The extension is supported with underlying catalogues, algorithms, and prototype. The key contribution is a low-cost mechanism to develop new systems—that are privacy-preserved—and to transform legacy database MAC models to their privacy preserving equivalents. Although our examples are from social networks, the results apply to data security and user privacy of other enterprises too.
A Multiple-Item Scale for Assessing E-Government Service Quality
Authors: Xenia Papadomichelaki, Gregoris Mentzas
Venue: Proceedings of the 8th International Conference on Electronic Government (2009)

A critical element in the evolution of e-governmental services is the development of sites that better serve the citizens' needs. To deliver superior service quality, we must first understand how citizens perceive and evaluate online citizen service. This involves defining what e-government service quality is, identifying its underlying dimensions, and determining how it can be conceptualized and measured. In this article we conceptualise an e-government service quality model (e-GovQual) and then we develop, refine, validate, confirm and test a multiple-item scale for measuring e-government service quality for public administration sites where citizens seek either information or services.
Study on the Decision Mode of Closed-Loop Supply Chain Based on Delivery Response Time
Authors: Cao Hong-jun, Shen Liang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Making use of the production of supply chain response time, this paper studies closed-loop supply chain decision-making mode based on delivery response time using game theory, and analyzes the optimal delivery response time and pricing strategies of decentralized decision-making and centralized decision-making which are two of closed-loop supply chain model. We can draw a conclusion: the latter excel the former, at the same time, delivery response time in closed-loop supply chain can not affected by decision model, which the two model’s delivery response time is equal. In the end, author uses numerical analysis verifying the accuracy of above conclusions.
Putting Haptics into the Ambience
Authors: Karon E. MacLean
Venue: IEEE Transactions on Haptics (2009)

In an attentionally overloaded world, relief will come only from interfaces between humans and computation that are able to provide information in the background of our sensory and cognitive processes. Haptic displays may have a special role to play in this emerging movement toward ambient interfaces, because the touch sense is well suited to present many types of information in a way that treads lightly on our mental resources. This paper offers an introduction to the notion of ambient information display, and explores why and how the haptic channel could contribute. It begins with a discussion of the attentional problems posed by contemporary interface technology, and a broad overview of ambient interfaces themselves: their purpose, specification, features, and some general examples. Sense is made of the haptic ambient design space through a morphology of the functionality and social configurations exhibited by existing and envisioned examples. Finally, reflections on design principles and challenges for ambient haptic interfaces are aimed at inspiring, shaping, and informing future development in this area.
First- and second-order finite volume methods for the one-dimensional nonconservative Euler system
Authors: Stéphane Clain, David Rochette
Venue: Journal of Computational Physics (2009)

Gas flow in porous media with a nonconstant porosity function provides a nonconservative Euler system. We propose a new class of schemes for such a system for the one-dimensional situations based on nonconservative fluxes preserving the steady-state solutions. We derive a second-order scheme using a splitting of the porosity function into a discontinuous and a regular part where the regular part is treated as a source term while the discontinuous part is treated with the nonconservative fluxes. We then present a classification of all the configurations for the Riemann problem solutions. In particularly, we carefully study the resonant situations when two eigenvalues are superposed. Based on the classification, we deal with the inverse Riemann problem and present algorithms to compute the exact solutions. We finally propose new Sod problems to test the schemes for the resonant situations where numerical simulations are performed to compare with the theoretical solutions. The schemes accuracy (first- and second-order) is evaluated comparing with a nontrivial steady-state solution with the numerical approximation and convergence curves are established.
Fair Derivations in Monodic Temporal Reasoning
Authors: Michel Ludwig, Ullrich Hustadt
Venue: Proceedings of the 22nd International Conference on Automated Deduction (2009)

Ordered fine-grained resolution with selection is a sound and complete resolution-based calculus for monodic first-order temporal logic. The inference rules of the calculus are based on standard resolution between different types of temporal clauses on one hand and inference rules with semi-decidable applicability conditions that handle eventualities on the other hand. In this paper we illustrate how the combination of these two different types of inference rules can lead to unfair derivations in practice. We also present an inference procedure that allows us to construct fair derivations and prove its refutational completeness. We conclude with some experimental results obtained with the implementation of the new procedure in the theorem prover TSPASS.
The Influence of Discrete Character of Following-Velocity on Chaotic Character of Traffic Flow in Different Density
Authors: Dan Yu, Xiaomei Yin, Jixiang Xie
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Based on the NS Model, a mixed traffic flow on single lane is simulated in the paper, which includes two-classification vehicles owing the different max-velocity. How the traffic flow is changed for different density and different discrete degree is researched and the influence of the density of traffic flow and the discrete of following-velocity on the chaos of traffic flow is analyzed in different values named approximate entropy and statistical complexity, which are changed as the variable value.
Effects of Ca(NO3)2 Stress on the Growth and Physiological Indexes of Cucumber Seedlings
Authors: Yongdong Sun, Weirong Luo, Xinzheng Li, Anguo Qi
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

Effects of Ca(NO3)2 stress on the growth, membrane permeability and antioxidant enzyme activities of cucumber seedlings were investigated. Two cucumber cultivars (Chun 4 and Jinyou 1) were used by sand culture. The results were as follows: relative water content (RWC) of the leaves and roots in two cultivars all decreased when Ca(NO3)2 stress increased. Meanwhile, the membrane permeability, malondialdehyde (MDA) contents and the contents of water-soluble sugar of two cultivars increased significantly with Ca(NO3)2 stress. Whereas the activities of superoxide dismutase (SOD) and peroxidase (POD) in two cultivars increased significantly in low Ca(NO3)2 concentration, and then decreased with the increase of Ca(NO3)2 concentration.
Grammar development in GF
Authors: Aarne Ranta, Krasimir Angelov, Björn Bringert
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Demonstrations Session (2009)

GF is a grammar formalism that has a powerful type system and module system, permitting a high level of abstraction and division of labour in grammar writing. GF is suited both for expert linguists, who appreciate its capacity of generalizations and conciseness, and for beginners, who benefit from its static type checker and, in particular, the GF Resource Grammar Library, which currently covers 12 languages. GF has a notion of multilingual grammars, enabling code sharing, linguistic generalizations, rapid development of translation systems, and painless porting of applications to new languages.
User-Centered Mouse Access Evaluation Design: Windows-Based Simulation Technology
Authors: Chi Nung Chu
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

This paper introduces a Windows-Based Simulation Technology (WBST) to monitor user's interaction with computer through a mouse. This design could evaluate a client's pointing and selecting proficiency by measuring the cursor movement and motion control. The simulated Windows-based task operations require the client synthesize four basic types of mouse operating skills, including clicking, cursor moving, cursor moving and clicking, and dragging. The WBST can record the positions and responses of a mouse during any specific task. It can also rebuild the recorded results of cursor moving and motion control on the screen. The WBST not only provides the clinical professionals with more detailed information to evaluate the specific difficulties of manipulating mouse for a client, but also allows engineers to design adaptive input device for the people with special needs.
Attributes of Urban Logistics Nodes and Their Mathematical Description
Authors: Guo-Qi Li, Jin Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

This paper aimed to analyze attributes of urban logistics nodes and proposed methods of mathematical description of these attributes. In order to research attributes of urban logistics nodes and edges, the concepts of the logistics nodes of generation, the logistics nodes of attraction and the logistics nodes were proposed, the urban logistics nodes topology map in a general condition was established, the basic types of urban logistics nodes were stated, the classification method of urban logistics nodes was putted forward. By graph theory and complex network theory, the attributes of urban logistics nodes included clustering coefficient, degree, stock, throughput capacity. The attributes of edges were connectivity, throughput capacity. The formula of computation with regard to the characteristics of nodes and edges were given. The relations of stock and throughput capacity of nodes, throughput capacity of nodes and edges were discussed in which some valuable conclusions were accessed. The applicability of the proposed formula was illustrated by a sample.
Modeling and Prediction of Nonlinear EEG Signal Using Local SVM Method
Authors: Lisha Sun, Lanxin Lin, Chunhao Lin
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

Electroencephalogram (EEG) is widely regarded as chaotic signal. Modeling and prediction of EEG signals is important for many applications. The method using support vectors machine (SVM) based on the structure risk minimization provides us an effective way of learning machine. The performance of SVM is much better than the traditional learning machine. Now the SVM is used in classification and regression. But solving the quadratic programming problem for training SVM becomes a bottle-neck of using SVM because of the long time of SVM training. In this paper, a local-SVM method is proposed for predicting the signals. The local method is presented for improving the speed of the prediction of EEG signals. The simulation results show that the training of the local-SVM obtains a good behavior. In addition, the local SVM method significantly improves the prediction precision.