ppxscal/embedding_network huggingface dataset:
A Query Optimization Based on Semantic User Focus
Authors: Xiaoyun Wang, Jiayin Liu
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

Based on the semantic query expansion, we propose a novel approach to re-rank the query result that enables users to retrieve the required documents quickly. Our technique is different from others in that (1) Ontology entries are added to the query by disambiguating word senses. (2) We propose a new algorithm to mine frequent patterns, which is used to construct semantic user focus. (3) It utilizes semantic user focus (SUF) to re-rank documents. Finally, the proposed approach experimentally demonstrates significantly improved retrieval precision.
Design and Architecture of Web Services for Simulation of Biochemical Systems
Authors: Joseph O. Dada, Pedro Mendes
Venue: Proceedings of the 6th International Workshop on Data Integration in the Life Sciences (2009)

Computer simulation of biochemical networks plays a central role in systems biology. While there are several software packages for modeling and simulation of these networks, they are based on graphical user interfaces that operate on the local computer. However, it is now often desirable to operate simulation tasks through a distributed computing framework where data can be gathered from different sources and distinct subtasks operated in different physical computers. In this paper we describe a web services implementation for the COPASI biochemical network simulator (CopasiWS). COPASI provides a range of numerical methods for simulation, optimization and analysis of biochemical reaction networks. Our aim is to allow easy integration of these powerful functionalities with local and remote services to provide a distributed computing platform for the simulation and analysis of biochemical models. One immediate result of this work is that simulation tasks are now available to be used in a platform--- and language---independent manner as components of distributed workflows, for example using the Taverna workflow engine. We describe the CopasiWS architecture, key design and implementation issues, and illustrate the range of services available through a web portal interface (CopasiWeb).
A Comparison of Direct and Indirect Multi-touch Input for Large Surfaces
Authors: Dominik Schmidt, Florian Block, Hans Gellersen
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I (2009)

Multi-touch input on interactive surfaces has matured as a device for bimanual interaction and invoked widespread research interest. We contribute empirical work on direct versus indirect use multi-touch input, comparing direct input on a tabletop display with an indirect condition where the table is used as input surface to a separate, vertically arranged display surface. Users perform significantly better in the direct condition; however our experiments show that this is primarily the case for pointing with comparatively little difference for dragging tasks. We observe that an indirect input arrangement impacts strongly on the users' fluidity and comfort of `hovering' movement over the surface, and suggest investigation of techniques that allow users to rest their hands on the surface as default position for interaction.
Combining local search and look-ahead for scheduling and constraint satisfaction problems
Authors: Andrea Schaerf
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

We propose a solution technique for scheduling and constraint satisfaction problems that combines backtracking-free constructive methods and local search techniques. Our technique incrementally constructs the solution, performing a local search on partial solutions each time the construction reaches a dead-end. Local search on the space of partial solutions is guided by a cost function based on three components: the distance to feasibility of the partial solution, a look-ahead factor, and (for optimization problems) a lower bound of the objective function. In order to improve search effectiveness, we make use of an adaptive relaxation of constraints and an interleaving of different lookahead factors. The new technique has been successfully experimented on two real-life problems: university course scheduling and sport tournament scheduling.
Shortest Path Problems on a Polyhedral Surface
Authors: Atlas F. Cook,  Iv, Carola Wenk
Venue: Proceedings of the 11th International Symposium on Algorithms and Data Structures (2009)

We develop algorithms to compute edge sequences, Voronoi diagrams, shortest path maps, the Fréchet distance, and the diameter of a polyhedral surface. Distances on the surface are measured by the length of a Euclidean shortest path. Our main result is a linear factor speedup for the computation of all shortest path edge sequences and the diameter of a convex polyhedral surface. This speedup is achieved with kinetic Voronoi diagrams. We also use the star unfolding to compute a shortest path map and the Fréchet distance of a non-convex polyhedral surface.
Analysis of Relationship between Batch Drilling Process and Multi-sensor Synchronization Signals
Authors: Youhang Zhou, Jianxun Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

In order to study the machine quality of mass-drilling-production on line, the drilling process was divided into 7 stages according to the analysis of the force situation and the contacts between the drilling blade and the workpiece. Based on the discrete RMS analysis of signals, feature points of power signals and acoustic signals were found through data mining, and the corresponding changes range of the signals could be drawn out from power and acoustic signals to match these 7 stages at the time error of 1%. This corresponding relation is also helpful to further study the drilling mechanism in these 7 different stages.
High-order well-balanced schemes and applications to non-equilibrium flow
Authors: Wei Wang, Chi-Wang Shu, H. C. Yee, Björn Sjögreen
Venue: Journal of Computational Physics (2009)

The appearance of the source terms in modeling non-equilibrium flow problems containing finite-rate chemistry or combustion poses additional numerical difficulties beyond that for solving non-reacting flows. A well-balanced scheme, which can preserve certain non-trivial steady state solutions exactly, may help minimize some of these difficulties. In this paper, a simple one-dimensional non-equilibrium model with one temperature is considered. We first describe a general strategy to design high-order well-balanced finite-difference schemes and then study the well-balanced properties of the high-order finite-difference weighted essentially non-oscillatory (WENO) scheme, modified balanced WENO schemes and various total variation diminishing (TVD) schemes. The advantages of using a well-balanced scheme in preserving steady states and in resolving small perturbations of such states will be shown. Numerical examples containing both smooth and discontinuous solutions are included to verify the improved accuracy, in addition to the well-balanced behavior.
Technical Section: A sketch-based approach to human body modelling
Authors: Chen Mao, Sheng Feng Qin, David Wright
Venue: Computers and Graphics (2009)

In this paper, we present a new approach and a novel interface, Virtual Human Sketcher (VHS), which enables those who can draw, to sketch-out various human body models. Our approach supports freehand drawing input and a ''Stick Figure->Fleshing-out->Skin Mapping'' modelling pipeline. Following this pipeline, a stick figure is drawn first to illustrate a figure pose, which is automatically reconstructed into 3D through a ''Multi-layered Back-Front Ambiguity Clarifier''. It is then fleshed-out with freehand body contours. A ''Creative Model-based Method'' is developed for interpreting the body size, shape, and fat distribution of the sketched figure and transferring it into a 3D human body through graphical comparisons and generic model morphing. The generic model is encapsulated with three distinct layers: skeleton, fat tissue, and skin. It can be transformed sequentially through rigid morphing, fatness morphing, and surface matching to match the 2D figure sketch. The initial resulting 3D body model can be incrementally modified through sketching directly on the 3D model. In addition, this body surface can be mapped onto a series of posed stick figures to be interpolated as a 3D character animation. VHS has been tested by various users on Tablet PC. After minimal training, even a beginner can create plausible human bodies and animate them within minutes.
Evolution of Cooperativeness in a Business Game Relying on Acquaintance Based Trustworthiness Assessment
Authors: Sanat Kumar Bista, Keshav Dahal, Peter Cowling, Bhadra Man Tuladhar
Venue: Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing (2009)

Reputation systems have been popular in several online market places involving anonymous players as it can provide crucial information on the trustworthiness of an object or individual player to combat selfish and deceptive behaviors from peers. Individual feedbacks on the quality of past association are the fundamental building blocks of reputation systems. Careful consideration in aggregating feedbacks from different sources is in fact very important in computing a reliable value for trust worthiness to facilitate decision making in a social dilemma situation like that of online market places. In this paper we are considering a possible improvement to a reputation model like that of eBay, with our interest lying on investigating how the cooperativeness and population of cooperators would evolve if the weight of the feedback source was assigned on the basis of past association between players. We categorize the feedback source as direct source, gray source and opposition friendly source to define an aggregation method for trustworthiness assessment that considers applying a dynamically computed weight to each source of feedback. Our result shows that breaking feedback sources on the basis of acquaintance and assigning weight accordingly favors the evolution of cooperativeness in the player society as compared to models which do not classify the feedback sources. A genetic algorithm based spatial iterated prisoner’s dilemma (SIPD) environment has been used to simulate the experiments.
A chain-starting classifier of definite NPs in Spanish
Authors: Marta Recasens
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (2009)

Given the great amount of definite noun phrases that introduce an entity into the text for the first time, this paper presents a set of linguistic features that can be used to detect this type of definites in Spanish. The efficiency of the different features is tested by building a rule-based and a learning-based chain-starting classifier. Results suggest that the classifier, which achieves high precision at the cost of recall, can be incorporated as either a filter or an additional feature within a coreference resolution system to boost its performance.
Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems
Authors: A. Guillén, H. Pomares, J. González, I. Rojas, O. Valenzuela, B. Prieto
Venue: Neurocomputing (2009)

The design of radial basis function neural networks (RBFNNs) still remains as a difficult task when they are applied to classification or to regression problems. The difficulty arises when the parameters that define an RBFNN have to be set, these are: the number of RBFs, the position of their centers and the length of their radii. Another issue that has to be faced when applying these models to real world applications is to select the variables that the RBFNN will use as inputs. The literature presents several methodologies to perform these two tasks separately, however, due to the intrinsic parallelism of the genetic algorithms, a parallel implementation will allow the algorithm proposed in this paper to evolve solutions for both problems at the same time. The parallelization of the algorithm not only consists in the evolution of the two problems but in the specialization of the crossover and mutation operators in order to evolve the different elements to be optimized when designing RBFNNs. The subjacent genetic algorithm is the non-sorting dominated genetic algorithm II (NSGA-II) that helps to keep a balance between the size of the network and its approximation accuracy in order to avoid overfitted networks. Another of the novelties of the proposed algorithm is the incorporation of local search algorithms in three stages of the algorithm: initialization of the population, evolution of the individuals and final optimization of the Pareto front. The initialization of the individuals is performed hybridizing clustering techniques with the mutual information (MI) theory to select the input variables. As the experiments will show, the synergy of the different paradigms and techniques combined by the presented algorithm allow to obtain very accurate models using the most significant input variables.
Application of Bayesian Balance for Biding in Power Projects
Authors: Wei Li, Yanjiao Ji, Lihong Cai
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

The method of game theory is applied to study the best offer of power projects and analysis the best linear strategy of our and the other bidders' offer, then the best linear strategy of our offer is obtained. It proofs that the best offer strategy of the bidders is not only relying on its own costs, but also affected by the other bidders' offer. Therefore, in order to win a bid in power projects, we are not only considering our own costs, but also striving to obtain as much information as possible in the tender offer process, and then the other bidders' costs distribution and offer range must be fully understood.
Modeling and Rendering of Dynamic Grassland Scene in the Wind
Authors: Yumei Wang, Xiaofeng Jiang, Liang Ge
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

In order to simulate dynamic grassland scenes, this paper views wind field as a stationary stochastic process/field related with time and space adhering to the principles of Wind Engineering .Use Linear auto-regression filter to generate eligible wind speed and use Finite element method to achieve the motion of different part of grass driven by the wind force. In addition, this paper adopt a hybrid method with L-system and image-based to achieve the parametric modeling of grass in close view, then model grass in far view using star structure for rendering efficiently. The result demonstrates that the proposed scheme can realistically simulate the dynamic scenes in real-time.
Adaptive Runge-Kutta discontinuous Galerkin methods using different indicators: One-dimensional case
Authors: Hongqiang Zhu, Jianxian Qiu
Venue: Journal of Computational Physics (2009)

In this paper, we systematically investigate adaptive Runge-Kutta discontinuous Galerkin (RKDG) methods for hyperbolic conservation laws with different indicators which were based on the troubled cell indicators studied by Qiu and Shu [J. Qiu, C.-W. Shu, A comparison of troubled-cell indicators for Runge-Kutta discontinuous Galerkin mehtods using weighted essentially non-osillatory limiters, SIAM J. Sci. Comput. 27 (2005) 995-1013]. The emphasis is on comparison of the performance of adaptive RKDG method using different indicators, with an objective of obtaining efficient and reliable indicators to obtain better performance for adaptive computation to save computational cost. Both h-version and r-version adaptive methods are considered in the paper. The idea is to first identify ''troubled cells'' by different troubled-cell indicators, namely those cells where limiting might be needed and discontinuities might appear, then adopt an adaptive approach in these cells. A detailed numerical study in one-dimensional case is performed, addressing the issues of efficiency (less CPU cost and more accurate), non-oscillatory property, and resolution of discontinuities.
Development of Realistic Haptic Presentation Media
Authors: Yasushi Ikei
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

This paper describes the development toward a realistic haptic presentation media--the haptic displays for surface textures. The display utilizes vibratory simulation that is efficient for cutaneous sensation. First, the characteristics of frequency mixture stimulation are demonstrated in terms of the amplitude modulation and the additive synthesis of 250 Hz and 50 Hz where the sensitivity of human skin takes peaks due to inherent mechanoreceptors. As a part of elucidation, the perception of 50 Hz under 250 Hz stimulation and its hardness sensation were measured. The amplitude modulation was more suitable for its small absolute limen while the additive synthesis was for softer sensation. In addition, the tactile/proprioceptive hybrid haptic display was investigated in terms of 3D texture perception. Spatial textures on surfaces of an icosahedron were matched and identified at about three levels of perception difficulty. Textures were discriminated moderately despite limited stimulators that suggested proper improvement.
Networked Control Systems with Nonlinear Control and Novel Smith Predictor
Authors: Feng Du, Wencai Du, Zhi Lei
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

This paper aims to the random and uncertain network delay, a novel approach is proposed that new Smith predictor combined with the nonlinear PID control for the networked control systems (NCS). This novel Smith predictor comes true to hide predictor models of the network delays of the forward and return paths into real network data transmission processes, therefore network delays don’t need to be measured, identified or estimated on-line. Based on CSMA/CD (Ethernet), the results of simulation show validity of this control scheme, and indicate that system has better dynamic performance and stronger robustness.
A reactive planner for a model-based executive
Authors: Brian C. Williams, P. Pandurang Nayak
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

A new generation of reactive, model-based executives are emerging that make extensive use of componentbased declarative models to analyze anomalous situations and generate novel sequences for the internal control of complex autonomous systems. Burton, a generative, model-based planner offers a core element that bridges the gap between current and target states within the reactive loop. Burton is a sound, complete, reactive planner that generates a single control action of a valid plan in average case constant time, and compensates for anomalies at every step. Burton will not generate irreversible, potentially damaging sequences, except to effect repairs. We present model compilation, causal analysis, and online policy construction methods that are key to Burton's performance.
Modified Advanced Image Coding
Authors: Zhengbing Zhang, Radhika Veerla, K. R. Rao
Venue: Proceedings of the 2008 First International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing (2008)

JPEG is a popular DCT-based still image compression standard, which has played an important role in image storage and transmission since its development. Several papers have been published to improve the performance of JPEG. Advanced Image Coding (AIC) combines intra frame block prediction from H.264 with a JPEG-style DCT, followed by context adaptive binary arithmetic coding (CABAC) used in H.264. It performs much better than JPEG and close to JPEG-2000. In this paper, we propose a modified AIC (M-AIC) by replacing the CABAC in AIC with a Huffman coder and an adaptive arithmetic coder. The simulation results demonstrate that M-AIC performs much better than JPEG, close to JPEG-2000 and AIC, and a little bit better than AIC in some low bit rate range.
Building a Morphosyntactic Lexicon and a Pre-syntactic Processing Chain for Polish
Authors: Benoît Sagot
Venue: Human Language Technology. Challenges of the Information Society: Third Language and Technology Conference, LTC 2007, Poznan, Poland, October 5-7, 2007, Revised Selected Papers (2009)

This paper introduces a new set of tools and resources for Polish which cover all the steps required to transform a raw unrestricted text into a reasonable input for a parser. This includes (1) a large-coverage morphological lexicon, developed thanks to the IPI PAN corpus as well as a lexical acquisition techique, and (2) multiple tools for spelling correction, segmentation, tokenization and named entity recognition. This processing chain is also able to deal with the XCES format both as input and output, hence allowing to improve XCES corpora such as the IPI PAN corpus itself. This allows us to give a brief qualitative evaluation of the lexicon and of the processing chain.
Individual characteristics and the intention to continue project escalation
Authors: Melinda Korzaan, Steven A. Morris
Venue: Computers in Human Behavior (2009)

The factors leading to the continuing problems with information system (IS) project failure are of importance to both the research and practitioner communities. The psychological factors that lead project managers to escalate troubled projects are investigated. Theoretical grounding is presented for a research model consisting of Need for Achievement as an antecedent trait for implementation mindset, internal locus of control, preference for consistency, and time urgency, which in turn predict the Intention to Continue a troubled IS project. Using responses from 232 IS project stakeholders, the model is tested using structural equation modeling. The results support Need for Achievement as an antecedent to the other independent variables. Implementation mindset and internal locus of control were found to be significant predictors of the project managers' intention to continue the IS projects. Based on the findings, suggestions for project re-evaluation milestones (PRMs) are presented.
Application of Aircraft Fuel Fault Diagnostic Expert System Based on Fuzzy Neural Network
Authors: Hao Long, Xinmin Wang
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

Theories of expert system and fuzzy artificial neural network (ANN) are applied to solve the problem of fault diagnosis in the aircraft fuel system. A multilayer neural network model of the aircraft fuel system is put forward and the integrated aircraft fuel fault diagnostic expert system which solves the problems of knowledge representation and knowledge acquisition of traditional expert system is realized. The hardware-in-loop simulation results show that the expert system diagnoses the fault in accessories rapidly and accurately and it is proved that the expert system is significative and helpful for further development in the aircraft fuel fault diagnosis.