ppxscal/embedding_network huggingface dataset:
Application of GA Optimized Wavelet Neural Networks for Carrying Capacity of Water Resources Prediction
Authors: Feng Lu, Jianhua Xu, Zhanyong Wang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

The prediction of urban water demand using a small number of representative properties is fundamental in evaluating carrying capacity of water resources. Artificial neural networks (ANNs) have recently become popular tools in the prediction of urban water demand. In this paper, an iterative method which combining the strength of back-propagation (BP) in weight learning and genetic algorithms’ capability of searching the satisfying solution is proposed for optimizing wavelet neural networks (WNNs). Taking the city of Hefei in China as an example, the proposed genetic algorithms optimized WNN that required a few representative properties as possible for input data is applied to predict urban water demand in the future several years. The prediction performance of the GA Optimized WNN is compared with traditional neural networks, and simulation results demonstrate the accuracy and the reliability of the prediction methodology based on the proposed model. Finally, urban water demand in Hefei, 2008-2010, is obtained which provide reference for coordinated development of socio-economic and water resources in Hefei.
Anterior intraparietal sulcus is sensitive to bottom-up attention driven by stimulus salience
Authors: Joy J. Geng, George R. Mangun
Venue: Journal of Cognitive Neuroscience (2009)

Frontal eye fields (FEF) and anterior intraparietal sulcus (aIPS) are involved in the control of voluntary attention in humans, but their functional differences remain poorly understood. We examined the activity in these brain regions as a function of task-irrelevant changes in target and nontarget perceptual salience during a sustained spatial attention task. Both aIPS and FEF were engaged during selective attention. FEF, but not aIPS, was sensitive to the direction of spatial attention. Conversely, aIPS, but not FEF, was modulated by the relative perceptual salience of the target and nontarget stimuli. These results demonstrate separable roles for FEF and aIPS in attentional control with FEF more involved in goal-directed spatial attention and aIPS relatively more sensitive to bottom-up attentional influences driven by stimulus salience.
Geometric Characterizations of Graphs Using Heat Kernel Embeddings
Authors: H. El-Ghawalby, E. R. Hancock
Venue: Proceedings of the 13th IMA International Conference on Mathematics of Surfaces XIII (2009)

In this paper, we investigate the heat kernel embedding as a route to computing geometric characterisations of graphs. The reason for turning to the heat kernel is that it encapsulates information concerning the distribution of path lengths and hence node affinities on the graph. The heat kernel of the graph is found by exponentiating the Laplacian eigensystem over time. The matrix of embedding co-ordinates for the nodes of the graph is obtained by performing a Young-Householder decomposition on the heat kernel. Once the embedding of its nodes is to hand we proceed to characterise a graph in a geometric manner. To obtain this characterisation, we focus on the edges of the graph under the embedding. Here we use the difference between geodesic and Euclidean distances between nodes to associate a sectional curvature with edges. Once the section curvatures are to hand then the Gauss-Bonnet theorem allows us to compute Gaussian curvatures at nodes on the graph. We explore how the attributes furnished by this analysis can be used to match and cluster graphs.
ContractCML - A Contract Aware Component Modeling Language
Authors: Vladiela Petrascu, Dan Chiorean, Dragos Petrascu
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

Providing software components with a four level contract specification - syntax, semantics, synchronization, quality of service - is important to their correct (re)use. The mandatory syntactic level is included by all current component models. Academic models also employ one of the others, but use different formalisms to represent it. Through this paper, we propose an integrated approach for handling component contracts. We focus on introducing ContractCML (Contract Component Modeling Language), a domain specific modeling language that ensures the basis of our proposal.
Interactive Game Based Learning: Advantages and Disadvantages
Authors: Margit Pohl, Markus Rester, Peter Judmaier
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

Interactive Game-Based Learning might be used to raise the awareness of students concerning questions of sustainability. Sustainability is a very complex topic. By interacting with a simulation game, students can get a more detailed and holistic conception of how sustainability can be achieved in everyday purchasing situations. The SuLi (Sustainable Living) game was developed to achieve this goal. In an evaluation study we found evidence that SuLi is an interesting alternative to more traditional approaches to learning. Nevertheless, there are still many open questions, as, e.g., whether one should combine simulation games with other forms of teaching and learning or how to design simulation games so that students really acquire detailed concepts of the domain.
Structural Reliability Analysis of Bus Body in Consideration to the Correlation of Working Conditions
Authors: Daqian Zhang, Tianxia Zhang, Guosheng Zhang, Weitao Zhao
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

To get the reliability index of a bus body, material yield strengths, girder cross-section areas, panel thicknesses and external loads are taken as stochastic variables by fundamental theories of structural system reliability. Considering the dynamic load coefficient in the loading conditions of bending and torsion, the method which analyses the reliability of strength and stiffness of the bus body is proposed based on design checking point means of Taylor expansion stochastic finite element (SFEM). Moreover, the relevant derivative of inertia force to stochastic variables is presented and the correlation of failure modes in two load cases is analyzed. The calculation on a bus body shows that this method is feasible for structural reliability analysis of frame structures of vehicles, aircrafts.
A Cluster-Based Watermarking Technique for Relational Database
Authors: Kaiyin Huang, Min Yue, Pengfei Chen, Yanshan He, Xiaoyun Chen
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

Database watermarking is an efficient method for database security. This paper proposes a cluster-based database watermarking technique which first applies cluster theory to the database watermarking technology. The cluster theory is used to cluster the source data and the clustering results determine the quantity of embedded watermark information and embedded position. This method makes the watermark information more disperse and hidden. This paper also introduces an odd-even modifying method to denote the watermarking information to decline the modification of original database. The results of experiment show this technique has a good performance on invisibility and is able to defend all kinds of subset attacks.
An e-Map Navigation System: Provide Region Search and Visualize Landmark Information
Authors: Dai-Yi Wang, Chang-Kai Hsu
Venue: Proceedings of the Advances in Electrical and Electronics Engineering - IAENG Special Edition of the World Congress on Engineering and Computer Science 2008 (2008)

In this paper, a new e-Map navigation system is designed to provide users with regional navigation services. It provided users keyword search, multiple classification search, and region search, so that users’ need for diversified searches can be satisfied. Besides, this system applies chromatology to visualize search results, using colors to present landmarks and different degrees of chroma to describe landmark information. It is expected that through improvement of the system design and the information retrieval interface, user’s search cost can be reduced and better navigation services can be provided in a more efficient manner.
Foreground Object Segmentation from Dense Multi-view Images
Authors: Liangzhong Fan, Xin Yu, Zhenyu Shu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

In order to extract foreground objects from dense multi-view images precisely and automatically, a level set evolution segmentation method without user interaction is proposed. Firstly, we make a statistical analysis of the straight lines in Epipolar Plane Image (EPI) and the EPI-lines corresponding to the foreground object are converted into original image space to get an initial contour. Then, we design a contour growing algorithm to shorten the gaps between broken edge segments and a morphological operation is utilized to obtain a closed exterior contour. Finally, a level set evolution without re-initialization is applied to drive the contour close to real object boundaries. Experimental results show that, our method can extract foreground objects from natural images more accurate and more effective than some user-assisted segmentation methods.
Integrating natural language processing into e-learning: a case of Czech
Authors: Pavel Smrž
Venue: Proceedings of the Workshop on eLearning for Computational Linguistics and Computational Linguistics for eLearning (2004)

The paper deals with the application of NLP technology in e-learning. We report our research on intelligent platforms for computer-mediated education. Some of the methods described in the paper have already taken part in the end-user applications that are in everyday use, others still wait for their implementation in the form of software products. The main message of the paper is that the language technology, even in the imperfect form of the current state of the art, can significantly enhance today's computer-mediated teaching and learning activities. It is true especially for languages different from English, where the adopted learning management systems often do not support even the basic functionality of a language-oriented search and retrieval of learning objects. As a case study, this paper demonstrates the application of the given ideas for e-learning materials in Czech.
A Deadlock-Free Semantics for Shared Memory Concurrency
Authors: Gérard Boudol
Venue: Proceedings of the 6th International Colloquium on Theoretical Aspects of Computing (2009)

We design a deadlock-free semantics for a concurrent, functional and imperative programming language where locks are implicitly and univocally associated with pointers. The semantics avoids unsafe states by relying on a static analysis of programs, by means of a type and effect system. The system uses singleton reference types, which allow us to have a precise information about the pointers that are anticipated to be locked by an expression.
Artificial Intelligence Techniques for Bridge Reliability Assessment: Digital Representation of Structure Response and Safety
Authors: Linzhong Deng
Venue:  (2009)

Bridge safety is receiving more attention when some bridges lost their function in recent years. Are the bridges in service today still safe as they approach their designed service life? Will a bridge built today be able to safely carry traffic loads for its intended 75-year service life? This book answers such questions by developing Artificial intelligence techniques for bridge reliability assessment. The techniques presented include new analysis models of highway bridges, a new Shredding Genetic algorithm (SGA) that is efficient to identify dominant failure, and a new solver to improve the efficiency of nonlinear analysis. These techniques can be used to analyze the reliability of a structure that could not be analyzed by traditional methods. Plenty of on-site and full-scale bridge experiments are introduced to form a solid benchmark for bridge nonlinear analysis. Computer simulations of these experiments demonstrate the efficiency and applicability of the proposed algorithms. This book should be helpful in bridge design and research for large and complex systems, and can be used in the safety evaluation of the bridges in service. 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
Adaptive Multi-user Detection Based on Robust Particle Filter in CDMA System
Authors: Yafei Han, Guolong Liang
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

In this paper, we proposed a robust particle filter algorithm for adaptive multi-user detection (MUD) in synchronous system over fading code division multiple access (CDMA) channels. Particle Filter (PF) is an efficient method for MUD. The Sequential Importance Sampling and Re-sampling (SISR) filter is the representative of PF. AS the importance sampling density of SISR filter is independent of measurement results, the state space is explored without any knowledge of the observations. Therefore, this filter can be inefficient and is sensitive to outliers. Robust PF that we proposed can mitigate the shortcomings in SISR algorithm. Simulation results show that the performance of robust PF-based multi-user detector outperforms SISR-based one. On the condition of strong interference and number of users increasing the robust PF algorithm always produce lower bit-error-ratio (BER).
Ligand Electron Density Shape Recognition Using 3D Zernike Descriptors
Authors: Prasad Gunasekaran, Scott Grandison, Kevin Cowtan, Lora Mak, David M. Lawson, Richard J. Morris
Venue: Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics (2009)

We present a novel approach to crystallographic ligand density interpretation based on Zernike shape descriptors. Electron density for a bound ligand is expanded in an orthogonal polynomial series (3D Zernike polynomials) and the coefficients from this expansion are employed to construct rotation-invariant descriptors. These descriptors can be compared highly efficiently against large databases of descriptors computed from other molecules. In this manuscript we describe this process and show initial results from an electron density interpretation study on a dataset containing over a hundred OMIT maps. We could identify the correct ligand as the first hit in about 30 % of the cases, within the top five in a further 30 % of the cases, and giving rise to an 80 % probability of getting the correct ligand within the top ten matches. In all but a few examples, the top hit was highly similar to the correct ligand in both shape and chemistry. Further extensions and intrinsic limitations of the method are discussed.
Distributed language modeling for N-best list re-ranking
Authors: Ying Zhang, Almut Silja Hildebrand, Stephan Vogel
Venue: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (2006)

In this paper we describe a novel distributed language model for N-best list re-ranking. The model is based on the client/server paradigm where each server hosts a portion of the data and provides information to the client. This model allows for using an arbitrarily large corpus in a very efficient way. It also provides a natural platform for relevance weighting and selection. We applied this model on a 2.97 billion-word corpus and re-ranked the N-best list from Hiero, a state-of-the-art phrase-based system. Using BLEU as a metric, the re-ranked translation achieves a relative improvement of 4.8%, significantly better than the model-best translation.
Eye Tracking Method to Compare the Usability of University Web Sites: A Case Study
Authors: M. Oya Çınar
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

Web sites are one of the main source which enables human computer interaction, also widely used for receiving and transmitting information. University web sites are frequently visit by their students to get some information. In today's fast life cycle these web sites has great usage, many people prefer to use them. University web sites are extremely important for the students of that institution. In the last years, usability has become a highly important research subject. Designing usable web sites is considerably important factor for the user satisfaction in our case for university students.In this study, a new design is proposed for the engineering faculty web page and eye tracking method is used to compare the usability of it with the original design. Participants were observed while trying to finish specified tasks. In evaluation period, fixation count, fixation length and heatmaps of each website are taken into the consideration. At the end of the study showed that proposed design is more effective and efficient. Participants required fewer fixations and less time to complete the given tasks.
An Effective Algorithm of News Topic Tracking
Authors: Xianfei Zhang, Zhigang Guo, Bicheng Li
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

Topic tracking is to track trend of news topic, which people are interested in. It is a very pragmatic method in information retrieval. Compared with keywords retrieval, topic tracking excels in dynamic tracking based on text model and its content understanding, so it is mostly involved in text expressing and semantic understanding. LS-SVM, as a new method for news topic tracking, is presented in this paper. It analyzes texts using latent semantic analysis, and achieves semantic-based character feature reduction and document expression. SVM is used to complete semantic-based topic tracking. Experiment results show that LS-SVM outperforms conventional methods, and reduces fault and fail rate of topic tracking.
Two-echelon supply chain inventory model with controllable lead time and service level constraint
Authors: J. K. Jha, Kripa Shanker
Venue: Computers and Industrial Engineering (2009)

This paper considers a two-echelon supply chain inventory problem consisting of a single-vendor and a single-buyer. In the system under study, a vendor produces a product in a batch production environment and supplies it to a buyer facing a stochastic demand, which is assumed to be normally distributed. Also, buyer's lead time is controllable which can be shortened at an added cost and all shortages are backordered. A model has been formulated for an integrated vendor-buyer problem to jointly determine the optimal order quantity, lead time and the number of shipments from the vendor to the buyer during a production cycle while minimizing the total expected cost of the vendor-buyer integrated system. It is often difficult to estimate the shortage cost in inventory systems. Therefore, instead of having a shortage cost term in the objective function, a service level constraint (SLC) is included in the model that requires a certain proportion of demands to be met in each cycle. An efficient procedure has been suggested to find the bounds on number of shipments and then, an algorithm is developed to obtain the optimal solution of the proposed model. A numerical example is included to illustrate the algorithmic procedure and the effects of key parameters are studied to analyze the behavior of the model. Finally, the savings of buyer and vendor are investigated from implementation of joint optimization model over the model in which they minimize their own cost independently.
Learning with simulations in medical education validity and design of learning settings in particular contexts
Authors: Adélaïde Blavier, Jan Zottmann, Frank Fischer, Annette Aboulafia, Lucile Vadcard, Vanda Luengo, Peter Dieckmann, Marcus Rall
Venue: Proceedings of the 8th international conference on International conference for the learning sciences - Volume 3 (2008)

The aim of this symposium is to initiate the discussion on learning with simulations in the medical sector. Indeed, this domain represents a very complex and dynamic environment dealing with a great variety of knowledge (declarative, pragmatic, procedural, gestural, etc.) that can be learned under diverse pedagogical forms. The four presentations describe various forms of computer-based technology, which aim to enhance the teaching and learning capabilities of doctors mostly in the form of 3D visualisation, full-scale simulation and haptic technology. They focus on research conducted in the area of anaesthesia and surgery. These studies emphasize on the necessity to adapt the learning environment to the objective of the training (validity of the learning situations). If the presentations are specific to the medical domain, their methodological and theoretical approaches can be generalized and used in other learning situations.
Authentication Analysis Based on Certificate for Proxy Mobile IPv6 Environment
Authors: Seong-Soo Park, Jong-Hyouk Lee, Tai-Myoung Chung
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part I (2009)

In PMIPv6, it is possible to support mobility for IPv6 nodes without software stack to exchange the signaling messages to control its movement. EAP-TLS supports for certificate-based mutual authentication, utilizing the protected ciphersuite negotiation, mutual authentication and key management capabilities of the TLS protocol. In this paper, we describe a certificate-based public key authentication mechanism for Proxy Mobile IPv6 environments. The certificate-based authentication mechanism is based on EAP-TLS that supports the mutual authentication during its ciphersuit negotiation. The proposed certificate-based authentication mechanism that involves initial authentication and handoff authentication is analyzed by BAN logic.
Trajectory Optimization of Spray Painting Robot Based on Adapted Genetic Algorithm
Authors: Fa-zhong Li, De-an Zhao, Gui-hua Xie
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Due to the complex geometry of free-form surfaces, generating optimization trajectories of spray gun to satisfy paint uniformity requirement is still a challenge. A quadratic function of the paint deposition rate on a plane was proposed according to the experimental data, and a model of paint deposition rate on a free-form surface was established. Non-uniform paint deposition in the direction of the Tool Center Point(TCP) passes on non-planar surfaces is resulted from the change of curvature along the pass. The model of variable spray speed optimization was established to compensate for the curvature change and improve the uniformity of paint deposition along passes. Then a new genetic algorithm (GA) for speed optimization was presented with good convergence properties and a remarkable low computational load. Finally, a typical concavo-convex surface was chosen as a target surface to validate the performance of the proposed algorithms, and the simulation results show that the algorithms can be applied substantially to improve the uniformity of resultant paint deposition along the passes.