ppxscal/embedding_network huggingface dataset:
Argumentation scheme and shared online diagramming in case-based collaborative learning
Authors: J. Dowell, M. Tscholl, T. Gladisch, M. Asgari-Targhi
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

Argumentation schemes describe patterns of reasoning in discourse. We report an investigation into whether the argumentation scheme known as 'inference to the best explanation' (IBE) captures the argumentation found in collaborative case-based learning. We examine the dialogue of three students working in an online learning environment as they attempt to explain the verdict in a legal case of medical negligence; the IDE scheme is clearly visible in the dialogue. We also report the exploratory development of shared argument diagramming tools that allow learners to draw their explanations while they discuss them. The tools passively reinforce the IBE argumentation scheme. Evaluation of the tools provided the clearest evidence to date that learners are able to integrate their shared online argument diagramming with their computer-mediated dialogue.
Extending GKLT Tracking--Feature Tracking for Controlled Environments with Integrated Uncertainty Estimation
Authors: Michael Trummer, Christoph Munkelt, Joachim Denzler
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

Guided Kanade-Lucas-Tomasi (GKLT) feature tracking offers a way to perform KLT tracking for rigid scenes using known camera parameters as prior knowledge, but requires manual control of uncertainty. The uncertainty of prior knowledge is unknown in general. We present an extended modeling of GKLT that overcomes the need of manual adjustment of the uncertainty parameter. We establish an extended optimization error function for GKLT feature tracking, from which we derive extended parameter update rules and a new optimization algorithm in the context of KLT tracking. By this means we give a new formulation of KLT tracking using known camera parameters originating, for instance, from a controlled environment. We compare the extended GKLT tracking method with the original GKLT and the standard KLT tracking using real data. The experiments show that the extended GKLT tracking performs better than the standard KLT and reaches an accuracy up to several times better than the original GKLT with an improperly chosen value of the uncertainty parameter.
Image-based street-side city modeling
Authors: Jianxiong Xiao, Tian Fang, Peng Zhao, Maxime Lhuillier, Long Quan
Venue: ACM Transactions on Graphics (TOG) (2009)

We propose an automatic approach to generate street-side 3D photo-realistic models from images captured along the streets at ground level. We first develop a multi-view semantic segmentation method that recognizes and segments each image at pixel level into semantically meaningful areas, each labeled with a specific object class, such as building, sky, ground, vegetation and car. A partition scheme is then introduced to separate buildings into independent blocks using the major line structures of the scene. Finally, for each block, we propose an inverse patch-based orthographic composition and structure analysis method for fa&ccedil;ade modeling that efficiently regularizes the noisy and missing reconstructed 3D data. Our system has the distinct advantage of producing visually compelling results by imposing strong priors of building regularity. We demonstrate the fully automatic system on a typical city example to validate our methodology.
The Expanded Application Research of Deep Cryogenic Treatment
Authors: Zongbao Wu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

By using the cryogenic treatment (deep cryogenic treatment) to metal materials, the mechanical properties of metal materials could be improved, as well as the wear-resisting property could greatly increase. Along with deeper research of this public method, the method of expanded technology application could be brought up and the efficiency could be improved. 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
Quasi-monotonic segmentation of state variable behavior for reactive control
Authors: Will Fitzgerald, Daniel Lemire, Martin Brooks
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 3 (2005)

Real-world agents must react to changing conditions as they execute planned tasks. Conditions are typically monitored through time series representing state variables. While some predicates on these times series only consider one measure at a time, other predicates, sometimes called episodic predicates, consider sets of measures. We consider a special class of episodic predicates based on segmentation of the the measures into quasi-monotonic intervals where each interval is either quasi-increasing, quasi-decreasing, or quasi-fiat. While being scale-based, this approach is also computational efficient and results can be computed exactly without need for approximation algorithms. Our approach is compared to linear spline and regression analysis.
A Generative Language Modeling Approach for Ranking Entities
Authors: Wouter Weerkamp, Krisztian Balog, Edgar Meij
Venue: Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers (2009)

We describe our participation in the INEX 2008 Entity Ranking track. We develop a generative language modeling approach for the entity ranking and list completion tasks. Our framework comprises the following components: (i) entity and (ii) query language models, (iii) entity prior, (iv) the probability of an entity for a given category, and (v) the probability of an entity given another entity. We explore various ways of estimating these components, and report on our results. We find that improving the estimation of these components has very positive effects on performance, yet, there is room for further improvements.
The Compounded Chaotic Sequence Research in Image Encryption Algorithm
Authors: Yu Honglei, Wu Guang-shou
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

An image encryption algorithm based on compounded chaotic sequence is proposed. In the paper, Three kinds of chaotic sequences are selected for this algorithm of location scrambling and diffusion of image pixels. They are Unlimited one-dimensional folding map, two-dimensional Henon map and the one-dimensional Logistic map. It is better to use one judicative condition to decide the service sequence of the two scrambling algorithm than using the same chaotic system many times. The simulation results have showed the good efficiency and high security of this encryption algorithm.
Modeling Personal Preferences on Commodities by Behavior Log Analysis with Ubiquitous Sensing
Authors: Naoki Imamura, Akihiro Ogino, Toshikazu Kato
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

Consumers may take some specific behavior preference or favorite items to get more information, such as the material and the price, in shopping. We have been developing a smart room to estimate their preference and favorite items through observation using ubiquitous sensors, such as RFID and Web cameras. We assumed the decision decision-making process in shopping as AIDMA rule, and detected specific behavior, which are "See", "Touch" and "Take", to estimate user's interest. We found that we can classify consumers by their behavior patterns of the times and duration of the behaviors. In our experiment we have tested twenty-eight subjects on twenty-four T-shirts. In the experiment, we got better precision ratio for each subjects on estimating preference and favorite items by discriminate analysis on his or her behavior log, and behavior patterns classification above.
Forecast of Poyang Lake's Water Level by Wavelet-ANFIS Model
Authors: Rijun Zhang, Zengchuan Dong, Huifang Guo
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

Poyang Lake is China's largest freshwater lake. It has good regulation role to Yangtze River. After the running of Three Georges Project, it influences the water level of Poyang Lake a lot. This paper predicts Poyang Lake’s water level, it is the basic of influence research. Once there were many predicting methods, such as ANN, etc. But these methods are not very precisely. This paper uses wavelet analysis to decompose water level series, then it uses ANFIS to modeling the decomposed series, in the end it combined these series. The result shows that, the prediction accuracy rises a lot, and it is fit to used in water level predict.
Research on Signal Control Methods of Traffic Bottlenecks in City Road Network
Authors: Cheng Wei, Wang Dianhai, Chen Yuguang, Yuan Manrong, Li Xuemin
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

Urban large-scale traffic congestion is often formed from the individual intersection’s traffic jam. According to the characteristics of these intersections, this paper presents the conception of traffic bottleneck. To prevent bottleneck intersection's queuing back, this paper analysis bottleneck control strategy and its trigger conditions, and presents traffic bottleneck control strategy in single and coordination situation, and then conceives single bottleneck control model and coordination bottleneck control model. At last, we prove the control effect of single bottleneck control model in practice.
User Reputation Evaluation Using Co-occurrence Feature and Collective Intelligence
Authors: Jeong-Won Cha, Hyun-Woo Lee, Yo-Sub Han, Laehyun Kim
Venue: Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009 (2009)

It becomes more difficult to find valuable contents in the Web 2.0 environment since lots of inexperienced users provide many unorganized contents. In the previous researches, people has proved that non-text information such as the number of references, the number of supports, and the length of answers is effective to evaluate answers to a question in a online QnA service site. However, these features can be changed easily by users and cannot reflect social activity of users. In this paper, we propose a new method to evaluate user reputation using co-occurrence features between question and answers, and collective intelligence. If we are able to calculate user reputation, then we can estimate the worth of contents that has small number of reference and small number of support. We compute the user reputation using a modified PageRank algorithm. The experiment results show that our proposed method is effective and useful for identifying such contents.
Economic Loss for Water Contaminations in East Lake Based on Logistic Model
Authors: Hongxia Xia, Wang Meng
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

Water Contaminations bring not only great damage to the ecological balance, but also serious losses to the national economy. The results of existing methods, which are used to calculate Economic Loss of water contaminations, are not able to reflect the problem explicitly. In view of deficiencies of those calculation methods, and on the base of mechanism model of pollution loss, the logistic equation and environment value theory,this paper first proposes to construct Logistic Model, which is invented by Belgian mathematician Verhulst in 1938, to measure Economic Loss of water contaminations applied to East Lake. The Logistic Model can not only suggest the relationship between pollutants concentration, discharge amount of pollutants, the value of environmental resource and economic loss; but also can quantitatively weigh the loss degree about environmental pollution for resources value. It can reflect the real truth objectively by using Logistic Model to perform “S”-type nonlinear behavior of Economic Loss. At the same time, the calculation method is simple, universal and easily to understand, especially when there are multiple water contaminations in water. The experimental results in this paper can describe the Economic Loss of water contaminations in East Lake accurately and comprehensively, in addition, it is able to help the relevant departments to establish measures to prevent and control water pollution.
Developing Compelling Social-Enabled Applications with Context-Based Social Interaction Analysis
Authors: Ryan Skraba, Mathieu Beauvais, Johann Stan, Abderrahmane Maaradji, Johann Daigremont
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

We present in this paper a new approach for constructing implicit social networks from electronic sources, like emails, SMS and phone calls. The main novelty is the use of Social Interaction Analysis to assist end-users in their communication needs. We discuss how a social proximity can be calculated between two persons in a social network and show how a weighted, directed network is constructed based on interactions between people. After a description of the architecture of the framework, we show how a contextual, weighted social network can help in automatically finding the contact with highest probability to know the whereabouts of a person who is currently not reachable. The implemented social helper application uses a specific contextual view of the social network, exploiting only interactions that occurred in the last 48 hours.
Recommendation of Online Tasks Based on Witkey Mode Website
Authors: Jin Songhe, Song Baowei, He Lei
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

With the rapid development of witkey website, the amount of witkeys and tasks on the witkey sites is increasing far more quickly than our ability to process it. It is a critical problem needs to be solved for us to accomplish witkeys and tasks rapid matching. To resolve this problem, an available way is the recommender system. This paper analyzes the witkey behaviors on the websites and constructs the witkey preference model. Then the collaborative filtering technique is used to recommend online tasks.
Effects of Information Displays for Hyperlipidemia
Authors: Yang Gong, Jiajie Zhang
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

How information is distributed between internal and external representations significantly affects information search performance. For a distributed information search task, data representation and cognitive distribution jointly affect the user search performance in terms of response time and accuracy. Guided by UFuRT (User, Function, Representation, Task), a human-centered framework, we propose a search model and task taxonomy. The model defines its application in the context of healthcare setting. The taxonomy clarifies the legitimate operations for each type of search task of relation data. We then developed experimental prototypes of hyperlipidemia data displays. Based on the displays, we tested the search tasks performance through two experiments. The experiments are of a within-subject design with a sample of 24 participants. The results in general support our hypothesesand validate the prediction of the model and task taxonomy.
Learning planning rules in noisy stochastic worlds
Authors: Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack Kaelbling
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 2 (2005)

We present an algorithm for learning a model of the effects of actions in noisy stochastic worlds. We consider learning in a 3D simulated blocks world with realistic physics. To model this world, we develop a planning representation with explicit mechanisms for expressing object reference and noise. We then present a learning algorithm that can create rules while also learning derived predicates, and evaluate this algorithm in the blocks world simulator, demonstrating that we can learn rules that effectively model the world dynamics.
On the reasoning patterns of agents in games
Authors: Avi Pfeffer, Ya'akov Gal
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

What reasoning patterns do agents use to choose their actions in games? This paper studies this question in the context of Multi-Agent Influence Diagrams (MAIDs). It defines several kinds of reasoning patterns, and associates each with a pattern of paths in a MAID. We asks the question, what reasoning patterns have to hold in order for an agent to care about its decision? The answer depends on what strategies are considered for other agents' decisions. We introduce a new solution concept, called well-distinguishing (WD) strategies, that captures strategies in which all the distinctions an agent makes really make a difference. We show that when agents are playing WD strategies, all situations in which an agent cares about its decision can be captured by four reasoning patterns. We furthermore show that when one of these four patterns holds, there are some MAID parameter values such that the agent actually does care about its decision.
An Efficient and Scalable Prioritized MAC Protocol (PMAC) for Backbone Communication in Wireless Sensor Networks
Authors: Lei Pan, Hongyi Wu, Nian-Feng Tzeng
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

A Prioritized Medium Access Control (PMAC) protocol is proposed for wireless sensor networks, based on a binary count down approach. PMAC effectively eliminates data collision and optimizes channel allocation. Moreover, as many networks nowadays compose traffic with several priorities, the simple yet effective design of PMAC offers strict service differentiation for prioritized packets. In this paper, PMAC is evaluated by collision probability, reneging/dropping probability, network throughput and channel efficiency. Our simulations show that the protocol effectively supports traffic differentiation and achieves very low packet dropping (both reneging and blocking) probabilities under the channel capacity. When the network is overloaded, it still maintains extremely stable and high channel throughput. It is demonstrated that PMAC performs superior in multihop networks, further proving the advantages of the proposed protocol. Featured with efficiency, simplicity, scalability, fairness, mobility and QoS provisioning, PMAC may be well served for the next-generation wireless networks.
A New Method on Measuring Moisture Content in Gas
Authors: Lichun Xiao, Qiang Li, Zhijiang Ding, Jingfei Yang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

A new method on measuring moisture content in gas with high accuracy is presented. Fibreglass is filled in a filter tube fixed in the sampling pipe. Mist of gas will be intercepted by the fibreglass when the gas flows through the sampling tube filled with fibreglass. Moisture content in gas can be calculated on condition that volume of gas flowing through the sampling pipe at unit time is measured. Collected efficiency increases with fibreglass filling ratio, filling thickness and single fibre collected efficiency while decreases with fibre diameter. Collected efficiency should be more than 99% if suitable diameter fibreglass is selected. The cooling time in the exsiccator must be more than 20 minutes. Purity of the fibreglass has great influence on its stability. For the fibreglass with a purity of 99.5%, Weight loss is 0.1 mg for seven hours in the oven. It can be seen from the comparison experiment of filter method, absorption method and LDV method. Fibreglass filter method has high accuracy, good repeatability and stability. The measuring results are not affected by ambient and gas temperature.
YVision: A General Purpose Software Composition Framework
Authors: Antão Almada, Gonçalo Lopes, André Almeida, João Frazão, Nuno Cardoso
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends (2009)

Expectations for the industry of Human Computer Interaction are much higher today than they were ten or even five years ago. Innovative solutions to sense and gather information from the real world in real-time must be combined with lightning-fast computer graphics to deliver high-quality designs for the new interaction paradigms. The very combination of all these emerging technologies presents difficult challenges, not only for finding good design and programming methodologies, but to encapsulate those patterns in a collection of frameworks and tools enabling rapid-prototyping and agile development. Application designers should be able to express their creative endeavours by quickly trying out different design combinations with full access to leading edge technology. In the following we present the YVision general purpose software composition framework and show how it achieves the goal of managing the complexity and reducing the development time of parallel, data-driven, multimedia applications.
Robust Image Watermarking Based on SIFT Feature and Optimal Triangulation
Authors: Liu Jing, Liu Gang, Zhang Jiulong
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

An image watermarking scheme resistant to rotation scale translation (RST) attacks is proposed based on scale invariant feature transform (SIFT). Suitable feature points are selected to form a convex hull, which is then optimally triangulated by dynamic programming. The triangle chords inside the hull are then sampled equispacedly with secrect key K to obtain smaller triangles. The watermark is then embedded into the the circles centering around the centeroid of each triangle. The experiments show that the proposed method is considerably robust against both geometric distortion attacks and signal processing attacks.
Finite Element Analysis and Checking of LD-A Type Crane Girder
Authors: Xiangbo Ze, Yewang Sun, Xuefeng Yang, Fang Zhao
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

The structure of LD-A style crane girder is analyzed by conventional mechanics method. According to the parameters of weld structures, restriction parts and the relevant components of girder, the girder is simplified. Then 3-D girder model is established by SolidWorks software and it is carried out nonlinear static finite element analysis and dynamic frequency analysis in the use of COSMOSWorks embedded in the SolidWorks. Based on the law of Newton Raphson iterative process and limit analysis principle, the paper has analyzed the end-loaded and mid-span-loaded girder model under the largest load. The results show that the maximum nodal stress is 103MPa at the restriction side of girder and the maximum bend distortion is 5.304mm in the neutral area of girder model. The first-order full loaded natural frequency is 10.953Hz. Finally, according to mechanics allowance of mechanical engineering and the requirements of structural dynamic frequency under the largest load, this paper has checked the finite element analysis results of girder model to confirm the feasibility of original girder structure design.