ppxscal/embedding_network huggingface dataset:
Planning for stream processing systems
Authors: Anton Riabov, Zhen Liu
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 3 (2005)

With the advent of compositional programming models in computer Science, applying planning technologies to automatically build workflows for solving large and complex problems in such a paradigm becomes not only technically appealing but also feasible approach. The application areas that will benefit from automatic composition include, among others, Web services, Grid computing and stream processing systems. Although the classical planning formalism is expressive enough to describe planning problems that arise in a large variety of different applications, it can pose significant limitations on planner performance in compositional applications, in particular, in stream processing systems. In this paper we exlend the classical planning formalism by introducing new language constructs that support the structure of stream processing domains. Exposing this structure to the planner can result in dramatic performance improvements: our experiments show exponential planning time reduction in comparison to most recent metric planners.
Minimal Diameter Orientation of Complete Split Graph
Authors: Liu Xiaoshan, Wang Qi, Liu Yuhui
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

Diameter of an undirected graph is the maximal distance between any two vertices. We can obtain a digraph (directed graph) by presenting a direction for each edge of the undirected graph. The diameter of a digraph is a nonegative integer d, such that the distance of any two vertices which are strongly connected is at most d. Or else, the diameter is infinite. In this paper we discuss minimal diameter orientation of special graph-complete split graph. Combining the theory of multipartite graph and the property of complete split graph we can obtain what kind of split graph can be 2-diameter oriented.
UBC-UPC: sequential SRL using selectional preferences: an aproach with maximum entropy Markov models
Authors: Beñat Zapirain, Eneko Agirre, Lluís Màrquez
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

We present a sequential Semantic Role Labeling system that describes the tagging problem as a Maximum Entropy Markov Model. The system uses full syntactic information to select BIO-tokens from input data, and classifies them sequentially using state-of-the-art features, with the addition of Selectional Preference features. The system presented achieves competitive performance in the CoNLL-2005 shared task dataset and it ranks first in the SRL subtask of the Semeval-2007 task 17.
IT Organization Transformation in Enterprise eCommerce
Authors: Luchuan Liu, Guopeng Yin
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

The paper’s research purpose is to discuss how the corporate actively transforms IT organization to adapt to business and IT strategy, and then realize IT business value and competitive advantage. The author investigated IT construction of Sinopec Group after the renewed orientation of IT strategy in 2000, and implement case study about the transformation of IT organization along four dimensions: IT organization’s role, IT governance, the coordination between IT unit and the business units, the knowledge and skills of IT professionals. The result indicate Sinopec gain IT business value, because it transforms IT organization successfully.
Radial superresolution of the two-photon microfabrication method
Authors: Peng Wei, Qiaofeng Tan, Yu Zhu, Guanghong Duan
Venue: Microsystem Technologies (2009)

The two-photon microfabrication method, which has been developed over several years, is a new way to produce the real three-dimension microstructure. And now, this technology is recognized as a promising process for the creation of nano- and microscale devices. However, there are still important issues to be settled, one of them is the radial superresolution. The radial superresolution diffraction theory is introduced in the two-photon microfabrication system. This method can improve the radial superresolution of the two-photon microfabrication system. The theoretical analysis of the photosensitive resin is discussed based on the exciting power and concentration of free-radical theory. Experiment results of the two-photon microfabrication method verify the method and show that it can provide weight into the microfabrication system.
Bioremediation of Crude Oil-Contaminated Soil by Composting
Authors: Li-hua Mao, He Jiangtao, Li Ye
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Composting technology was used in the laboratory to simulate the remediation of the crude oil-contaminated soil collected from Jilin oil field. Consequently the contaminants removal paths and mechanism were discussed. The results showed that this method was effective in the remediation process. After 40 days, 45% crude oil was removed from the soil given the original oil content at 7.00×104mg•kg-1.The rate constant of biodegradation and half life was 0.0333d-1 and 20.82d, respectively. Biodegradation was the main way of contaminant removal. Volatilization loss of crude oil was less than 0.1% of initial crude oil content. Among the three ratio of contaminated soil to organic fertilizer (dry weight) with the ratio of 8:2, 7:3 and 5:5 respectively, the highest removal of complete biodegradation of crude oil was observed in the ratio of 7:3, in which the complete biodegradation reached to 17% of the total removal. The rate and degree of biodegradation were highly related to the number and activity of microbe.
Resource Planning and Scheduling of Payload for Satellite with a Discrete Binary Version of Differential Evolution
Authors: Jian Li
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

The resource planning and scheduling technology of payload is to arrange the works states of various payloads to carry out missions by optimizing the scheme of the resources. Based on the analysis of the satellite’s functions and the payload’s resource constraints, a proactive planning and scheduling strategy based on the availability of consumable and replenishable resources in time-order is employed along with dividing the planning and scheduling period to several pieces. Consequently, the planning and scheduling is modeled as a combinatorial optimization. To solve the resource planning and scheduling, a discrete binary version of differential evolution (DBDE) is employed which was derived from the traditional differential evolution (DE) and customized to combinatorial optimizations. The simulation results have shown the feasibility and effectiveness.
A Study on Fundamental Information Transmission Characteristics of an Air-Jet Driven Tactile Display
Authors: Takafumi Asao, Hiroaki Hayashi, Masayoshi Hayashi, Kentaro Kotani, Ken Horii
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

There are many people with impaired vision as well as hearing. Tactile displays can be useful to such people for communicating by means of characters and shapes. Many devices for tactile displays such as oscillators and electrocutaneous stimulators have been developed. However oscillators have two drawbacks: physical stress tends to build up in actuators because of long term exposure to oscillations, and they may transmit erroneous information because of unstable contacts between magnetic pins and the skin. Moreover, electrocutaneous stimulators cause discomfort to the user. In this study, we have developed a tactile information presentation technique that uses air jet stimulations and tactile phantom sensations induced by a complex combination of tactile perceptions. The tactile display can transmit information to the skin without physical contact and is free from the restriction of pitch size. In this paper, we have examined its fundamental information transmission characteristics.
Image Analysis for High Content Screening with cellAnalyst
Authors: Joerg Meyer, Ash Pahwa, Peter Saveliev
Venue: Proceedings of the 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering (2009)

High Content Screening (HCS) is a method for analyzing large numbers of cells typically arranged in arrays. Multi-well assays and micro-pallet arrays can be used to single out and harvest cells with desired features. However, visual inspection of large time series of images, each containing hundreds of wells or tens of thousands of micro-pallets is time-consuming and prone to detection errors.We have developed cell Analyst, a publicly available software package for automated identification and counting of cells. In this article we outline the image processing methods behind cell Analyst and show how this software can be applied to conduct highly specific cell counting.
Training and evaluation of the HIS POMDP dialogue system in noise
Authors: M. Gašić, S. Keizer, F. Mairesse, J. Schatzmann, B. Thomson, K. Yu, S. Young
Venue: Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue (2008)

This paper investigates the claim that a dialogue manager modelled as a Partially Observable Markov Decision Process (POMDP) can achieve improved robustness to noise compared to conventional state-based dialogue managers. Using the Hidden Information State (HIS) POMDP dialogue manager as an exemplar, and an MDP-based dialogue manager as a baseline, evaluation results are presented for both simulated and real dialogues in a Tourist Information Domain. The results on the simulated data show that the inherent ability to model uncertainty, allows the POMDP model to exploit alternative hypotheses from the speech understanding system. The results obtained from a user trial show that the HIS system with a trained policy performed significantly better than the MDP baseline.
Fast Learning Neural Network Using Modified Corners Algorithm
Authors: Rahul Kala, Anupam Shukla, Ritu Tiwari
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

In the past we have seen various developments in the philosophy and application of neural networks. We today have backpropagation algorithm, Hopfield networks, perceptrons, etc All these are very precise tools which model the data very well. But unfortunately, the problem being faced these days is of training the neural network in short span of time, over the test data. All the above mentioned tools may not be useful in various situations where the neural network needs to be trained rapidly. Hence the solutions offered to the same were the Corners rule and the associated CC1 to CC4 algorithms. All these had various pros and cons. This paper uses a different type of modeling to represent data and hence solve the problem of fast learning. Here we have taken the help of distance separation of training data and an unknown input to calculate the most probable output in the neural network. This algorithm is better than the others as it does not place any special restrictions on the inputs, which was the case with CC3. Also the algorithm uses an input model very similar to the traditional model, in terms of inputs and outputs. Hence the users may find it very easy to switch between the traditional neural network style and the network proposed in this paper. The algorithm sets up a neural network. The weights are assigned by looking at the inputs. In testing, the inputs are provided and the most probable output is calculated. The neural network uses a single hidden layer. The best neurons of the hidden layer are invoked at every input. This algorithm was trained on some points of a 2 color picture. When we tried to reproduce it, the results showed the algorithm was efficient and accurate.
A Robot Control and Augmented Reality Interface for Multiple Robots
Authors: Mark Fiala
Venue: Proceedings of the 2009 Canadian Conference on Computer and Robot Vision (2009)

Augmented reality technology is useful for interactionwith robotic devices. A user can see the status of and direct orders to robots in the actual operating environmentrather than on a remote computer console. A system is presented where fiducial markers are used for the dual purpose of reading the position of a multi-robot system and for user interaction using augmented reality. A user can observe, with the assistance of a hand-held device or wearable eyepiece display, the planned motion and tasks of the robots.An intuitive interface allows the robots to be retasked dynamically.A scalable system architecture and a prototype is presented.
Coupled urban wind flow and indoor natural ventilation modelling on a high-resolution grid: A case study for the Amsterdam ArenA stadium
Authors: T. van Hooff, B. Blocken
Venue: Environmental Modelling Software (2010)

Wind flow in urban environments is an important factor governing the dispersion of heat and pollutants from streets, squares and buildings. This paper presents a coupled CFD modelling approach for urban wind flow and indoor natural ventilation. A specific procedure is used to efficiently and simultaneously generate the geometry and the high-resolution body-fitted grid for both the outdoor and indoor environment. This procedure allows modelling complex geometries with full control over grid quality and grid resolution, contrary to standard semi-automatic unstructured grid generation procedures. It also provides a way to easily implement various changes in the model geometry and grid for parametric studies. As a case study, a parametric analysis of natural ventilation is performed for the geometrically complex Amsterdam ArenA stadium in the Netherlands. The turbulent wind flow and temperature distribution around and inside the stadium are solved with the 3D steady Reynolds-averaged Navier-Stokes equations. Special attention is given to CFD solution verification and validation. It is shown that small geometrical modifications can increase the ventilation rate by up to 43%. The coupled modelling approach and grid generation procedure presented in this paper can be used similarly for future studies of wind flow and related processes in complex urban environments.
ILR-based MT comprehension test with multi-level questions
Authors: Douglas Jones, Martha Herzog, Hussny Ibrahim, Arvind Jairam, Wade Shen, Edward Gibson, Michael Emonts
Venue: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX (2007)

We present results from a new Interagency Language Roundtable (ILR) based comprehension test. This new test design presents questions at multiple ILR difficulty levels within each document. We incorporated Arabic machine translation (MT) output from three independent research sites, arbitrarily merging these materials into one MT condition. We contrast the MT condition, for both text and audio data types, with high quality human reference Gold Standard (GS) translations. Overall, subjects achieved 95% comprehension for GS and 74% for MT, across 4 genres and 3 difficulty levels. Surprisingly, comprehension rates do not correlate highly with translation error rates, suggesting that we are measuring an additional dimension of MT quality. We observed that it takes 15% more time overall to read MT than GS.
A Community-Based Platform for Machine Learning Experimentation
Authors: Joaquin Vanschoren, Hendrik Blockeel
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (2009)

We demonstrate the practical uses of a community-based platform for the sharing and in-depth investigation of the thousands of machine learning experiments executed every day. It is aimed at researchers and practitioners of data mining techniques, and is publicly available at http://expdb.cs.kuleuven.be. The system offers standards and API's for sharing experimental results, extensive querying capabilities of the gathered results and allows easy integration in existing data mining toolboxes. We believe such a system may speed up scientific discovery and enhance the scientific rigor of machine learning research.
Simulation Research of a Synchronous Balancing System for Hydraulic Press Based on AME/Simulink
Authors: Jiangtao Tu, Minghui Huang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

The dynamics model of the moving crossbeam is analysised when the hydraulic press is unbalance. This paper sets up the overflow compensation balance-synchronous control system dynamics model in AMESim. it analyzes controlling parameters’ influence on synchronism accuracy and adjusting time The simulation result also verifies the high accuracy on the experiment hydraulic press employed this balance-synchronous control system.
SWIT: an open-source web-based database management system with indexing engine integration
Authors: Sara Silva, Marco Fernandes, Pedro Almeida, Joaquim A. Martins, Joaquim S. Pinto
Venue: Proceedings of the 2008 Euro American Conference on Telematics and Information Systems (2008)

There are currently a considerable number of digital libraries using XML documents to describe their resources. In this paper, we describe a database solution which integrates an XML native database and a search engine to improve query performance. A web based management application is also presented which allows local and remote administration of the database.
Plant Running Management Based on Wireless Sensor Network
Authors: Hui Wang, Youshan Hou, Xin Yu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

The information is an effective approach to raise the level of plant management in modern enterprises. Aimed at the problem that most of the enterprises face wire-monitoring, so starting with the work in plant running management and adopting the technology of WSN, and analyzes deeply the based on wireless sensor network in plant running management. By collecting plants states signal in WSN, get monitoring data of plant in time, and that clear up and analyzes deeply it, and build the failure diagnostician database of plants. It’s provided availability data for preventing failure and for maintain work.
Now You See It: Simple Visualization Techniques for Quantitative Analysis, 1st edition
Authors: Stephen Few
Venue:  (2009)

This companion to Show Me the Numbers teaches the fundamental principles and practices of quantitative data analysis. Employing a methodology that is primarily learning by example and thinking with our eyes, this manual features graphs and practical analytical techniques that can be applied to a broad range of data analysis toolsincluding the most commonly used Microsoft Excel. This approachis particularly valuable to those who need to make sense of quantitative business data by discerning meaningful patterns, trends, relationships, and exceptions that reveal business performance, potential problems and opportunities, and hints about the future. It provides practical skills that are useful to managers at all levels and to those interested in keeping a keen eye on their business. 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
A Compensation-Based Replenishment Model for Deteriorating Items via Simulated Annealing Method
Authors: Jonas Chao-pen Yu, Wei-Min Wee, Kung-Jeng Wang, Yu-Siang Lin
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

In a competitive market environment, business seeks to reduce cost by using strategic integration. This study derives an inventory replenishment model for a two-echelon supply chain in which the retailer is a leader of product price and the supplier is a price-follower. We consider that market demand is affected by its price and the product has a deterioration rate following Weibull distribution. A compensation model is developed to coordinate this two-echelon supply chain system to increase the product lifecycle and profits of the individuals as well as the system. Due to the complexity of the non-linear problems, it is not possible to find the global optimum analytically. This study maximizes the total profit of the supplier and buyer by a soft computing method, Simulated Annealing (SA). Numerical examples are given to justify the proposed model.
Mobility Management Approaches for Mobile IP Networks: Performance Comparison and Use Recommendations
Authors: Nadjia Kara
Venue: IEEE Transactions on Mobile Computing (2009)

In wireless networks, efficient management of mobility is a crucial issue to support mobile users. The Mobile Internet Protocol (MIP) has been proposed to support global mobility in IP networks. Several mobility management strategies have been proposed which aim reducing the signaling traffic related to the Mobile Terminals (MTs) registration with the Home Agents (HAs) whenever their Care-of-Addresses (CoAs) change. They use different Foreign Agents (FAs) and Gateway FAs (GFAs) hierarchies to concentrate the registration processes. For high-mobility MTs, the Hierarchical MIP (HMIP) and Dynamic HMIP (DHMIP) strategies localize the registration in FAs and GFAs, yielding to high-mobility signaling. The Multicast HMIP strategy limits the registration processes in the GFAs. For high-mobility MTs, it provides lowest mobility signaling delay compared to the HMIP and DHMIP approaches. However, it is resource consuming strategy unless for frequent MT mobility. Hence, we propose an analytic model to evaluate the mean signaling delay and the mean bandwidth per call according to the type of MT mobility. In our analysis, the MHMIP outperforms the DHMIP and MIP strategies in almost all the studied cases. The main contribution of this paper is the analytic model that allows the mobility management approaches performance evaluation.
On Coupling Models Using Model-Checking: Effects of Irinotecan Injections on the Mammalian Cell Cycle
Authors: Elisabetta Maria, François Fages, Sylvain Soliman
Venue: Proceedings of the 7th International Conference on Computational Methods in Systems Biology (2009)

In systems biology, the number of models of cellular processes increases rapidly, but re-using models in different contexts or for different questions remains a challenging issue. In this paper, we show how the validation of a coupled model and the optimization of its parameters with respect to biological properties formalized in temporal logics, can be done automatically by model-checking. More specifically, we illustrate this approach with the coupling of existing models of the mammalian cell cycle, the p53-based DNA-damage repair network, and irinotecan metabolism, with respect to the biological properties of this anticancer drug.