ppxscal/embedding_network huggingface dataset:
Simulation-based approach to general game playing
Authors: Hilmar Finnsson, Yngvi Björnsson
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 1 (2008)

The aim of General Game Playing (GGP) is to create intelligent agents that automatically learn how to play many different games at an expert level without any human intervention. The most successful GGP agents in the past have used traditional game-tree search combined with an automatically learned heuristic function for evaluating game states. In this paper we describe a GGP agent that instead uses a Monte Carlo/UCT simulation technique for action selection, an approach recently popularized in computer Go. Our GGP agent has proven its effectiveness by winning last year s AAAI GGP Competition. Furthermore, we introduce and empirically evaluate a new scheme for automatically learning search-control knowledge for guiding the simulation playouts, showing that it offers significant benefits for a variety of games.
Daphne System for Neuromotor Control Evaluation: Reconfiguration Concepts
Authors: Alberto Rovetta
Venue: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life (2009)

This paper deals with the design of a new prototype, developed for the quantitative analysis of neuromotor diseases. The system, called Daphne, may measure the reaction of a person evaluating the time response in the motion of one finger of the hand, the velocity of phalanxes, the force exerted from the finger against a button. Daphne performs the more modern aspect connected with concurrent and simultaneous engineering, and utilizes results in design with colors applications. It represents a new step towards the possibility of quantitative analysis of the performances of the human hand both of mechanical phenomenon and electromyographic of neuromotor diseases, which provoke a decrease in upper and lower limbs action. Daphne is characterized by an ergonomic design of reduced dimensions; its hardware and user-friendly software allow an easy and quick use by non expert users as well. Moreover, the system can be used not only in medical field, but also in the daily health and sports.Daphne is a portable device that performs an analysis of multiple parameters, such as: reaction time, speed, tremor, force, and ability of coordination and synchronization of the motion of a finger. The system also satisfies the requirements for medical applications in accordance to European normative for safety and quality. The reconfiguration concepts are used for a larger spread of use of Daphne in many fields of biorobotics and rehabilitation.
Strategic Management Model of Investor Relations
Authors: Feng Yanjie, Xu Bo
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

Along with fast growing of Chinese capital market, Investor Relations is getting more and more attention from regulators, listed companies and other market participants. Through experimental studies, cases analysis, references synthesis and concept analysis, the paper exploits key problems and strategic issues existing in IR management of Chinese listed companies, puts forward and analyzes strategic objectives, strategic core, strategic target market, and strategic implementing policies of investor relations. A framework model of investor relations strategic management is set up. Findings and conclusions in this paper can be guidelines for practice of Chinese listed companies and regulators.
Sentence boundary detection and the problem with the U.S.
Authors: Dan Gillick
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers (2009)

Sentence Boundary Detection is widely used but often with outdated tools. We discuss what makes it difficult, which features are relevant, and present a fully statistical system, now publicly available, that gives the best known error rate on a standard news corpus: Of some 27,000 examples, our system makes 67 errors, 23 involving the word "U.S."
A System for Web-Based Interactive Real-Time Data Visualization and Analysis
Authors: Tao Yu, Qiming Chen, Qinghu Li, Rui Liu, Weihong Wang, Wei Liu
Venue: Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing (2009)

The convergence of mashup and Service Oriented Architecture (SOA) enables the enterprise to deliver composite and situational applications by integrating information across internal and external sources. In this paper, we propose an approach that takes ideas from mashup and extend it to deliver real-time interactive visual analysis application on spatial-temporal datasets over the Internet. Four aspects of the approach are discussed: temporal data mashup based on continuous queries, template driven and materialized mashup view for providing personalized services, real-time data transmission using Web Service Notification (WSN), geo-visualization mashup for visual synthesis, presentation and analysis. A prototype system has been built up for supporting hydrologic information observation and analysis, such as flood prediction, inundated area estimation, etc. Our preliminary findings will be beneficial to others to create Business Intelligence (BI) mashups for real-time visualization and business logic analysis.
Confidence interval estimation under inverse sampling
Authors: G. Y. Zou
Venue: Computational Statistics Data Analysis (2010)

In comparative studies of rare events, fixing group sizes may result in groups with zero events. To overcome this difficulty, one may adopt an inverse sampling design which fixes the number of events, resulting in random variables following the negative binomial distribution. This article presents a new approach to setting confidence intervals for effect measures under inverse sampling, using the variance estimates recovered from exact confidence limits for single negative binomial proportions. Exact numerical evaluation results demonstrate that the proposed procedure performs well.
Application of Slope Filtering to Robust Spectral Envelope Extraction for Speech/Speaker Recognition
Authors: Szymon Drgas, Adam Dabrowski
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 describes a method for speech feature extraction using morphological signal processing based on the so-called "slope transformation". The proposed approach has been used to extract the signal upper spectral envelope. Results of experiments of the automatic speech recognition (ASR) and automatic speaker identification (ASI), which were undertaken to check the performance of the presented method, have shown some evident improvements of the effectiveness of recognition of isolated words, especially for women voices. The benefits of using slope transformation was also observed in speaker identification experiment.
A Novel Strategy for Distributed Multi-robot Coordination in Area Exploration
Authors: Jie Zhao, Xiangguo Su, Jihong Yan
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

A reliable and efficient multi-robot coordination strategy is proposed to accomplish area exploration task in unknown environment. This approach is an improved one based on social potential field (SPF) model and market-based (MD) approach to coordinate the movement of multiple robots. Unlike traditional SPF, our model is a non-continuous one in time. In this approach, non-continuous SPF and market-driven approach are used for global coordination to provide movement direction and goal location for every robot, and robots run towards goal locations by local path planning. To gain optimized global scheme, a global evaluation function is proposed as constraints, accordingly. Simulation experiments results show the effectiveness of this approach, and local minima can be avoided in advance in a great degree.
A Fast Infrared Face Recognition System Using Curvelet Transformation
Authors: Zhihua Xie, Guodon Liu, Shiqian Wu, Yu Lu
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

In this paper, a fast infrared face recognition system using Curvelet transformation is proposed. Firstly, to get the good performance of infrared face recognition from the biological feature, thermal images are converted into blood perfusion domain by blood perfusion model. Secondly, Curvelet transform has better directional and edge representation abilities than widely used wavelet transformation and other classic transformations. Inspired by these attractive attributes of Curvelets in sparse representation of the images, we introduce the idea of decomposing images into their curvelet subbands to extract the principal representative feature, which saves the computational complexity and storage units. Finally, the nearest neighbor classifier is chosen to get the system recognition result. The experiments illustrate that compared with traditional PCA based systems, the proposed system has better performance and requires fewer computations and memory units.
Goal-Based Decisions for Dynamic Planning
Authors: Elizabeth Black, David W. Glasspool, M. Adela Grando, Vivek Patkar, John Fox
Venue: Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine (2009)

The need for clinical guidelines to be implemented at different sites, to adapt to rapidly changing environments, and to be carried out by distributed clinical teams, implies a degree of flexibility beyond that of current guideline languages. We propose an extension to the PROforma language allowing hierarchical goal-based plans. Sub-plans to achieve goals are proposed at runtime so that changing circumstances may be flexibly accommodated without redefining the workflow.
Using XML for VLSI Physical Design Automation
Authors: Fong-Ming Shyu, Po-Hsun Cheng, Sao-Jie Chen
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

In this paper, we survey some XML applications and propose a customized XML for VLSI physical design automation, called Physical Design Markup Language (PDML). First, we construct a Class Hierarchical Diagram (CHD) using UML for our physical design framework. Following this CHD, algorithm developers can convert the internal object-models of their algorithms into a PDML form and plug them into the physical design framework such that the algorithms can be shared by users through internet. The developers can also refine an algorithm by remodeling the related object-model without changing the entire part of an algorithm and then pass the new object-model of that algorithm to the framework site immediately by internet. In such a way, PDML can also support a standard for exchanging data model used in VLSI physical design on the internet.
Generalised Procrustes Analysis with optimal scaling: Exploring data from a power supplier
Authors: Jaap Wieringa, Garmt Dijksterhuis, John Gower, Frederieke van Perlo
Venue: Computational Statistics Data Analysis (2009)

Generalised Procrustes Analysis (GPA) is a method for matching several, possibly large, data sets by fitting them to each other using transformations, typically rotations. The linear version of GPA has been applied in a wide range of contexts. A non-linear extension of GPA is developed which uses Optimal Scaling (OS). The approach is suited to match data sets that contain nominal variables. A database of a Dutch power supplier that contains many categorical variables unfit for the usual linear GPA methodology is used to illustrate the approach.
Electric Field Theory Motivated Graph Construction for Optimal Medical Image Segmentation
Authors: Yin Yin, Qi Song, Milan Sonka
Venue: Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition (2009)

In this paper, we present a novel graph construction method and demonstrate its usage in a broad range of applications starting from a relatively simple single-surface segmentation and ranging to very complex multi-surface multi-object graph based image segmentation. Inspired by the properties of electric field direction lines, the proposed method for graph construction is inherently applicable to n-D problems. In general, the electric field direction lines are used for graph "column" construction. As such, our method is robust with respect to the initial surface shape and the graph structure is easy to compute. When applied to cross-surface mapping, our approach can generate one-to-one and every-to-every vertex correspondent pairs between the regions of mutual interaction, which is a substantially better solution compared with other surface mapping techniques currently used for multi-object graph-based image segmentation.
Toward EEG Sensing of Imagined Speech
Authors: Michael D'Zmura, Siyi Deng, Tom Lappas, Samuel Thorpe, Ramesh Srinivasan
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends (2009)

Might EEG measured while one imagines words or sentences provide enough information for one to identify what is being thought? Analysis of EEG data from an experiment in which two syllables are spoken in imagination in one of three rhythms shows that information is present in EEG alpha, beta and theta bands. Envelopes are used to compute filters matched to a particular experimental condition; the filters' action on data from a particular trial lets one determine the experimental condition used for that trial with appreciably greater-than-chance performance. Informative spectral features within bands lead us to current work with EEG spectrograms.
Adaptive diagnostic system based on fuzzy relations
Authors: A. P. Rotshtein, H. B. Rakytyanska
Venue: Cybernetics and Systems Analysis (2009)

Causes (diagnoses) are retrieved and identified using observed effects (symptoms) based on fuzzy relations and Zadeh's compositional rule of inference. An approach to designing adaptive fuzzy diagnostic systems is proposed. It allows solving fuzzy logic equations and designing and adjusting fuzzy relations using expert and experimental information.
An Entertainment System Using Thermal Feedback for Increasing Communication and Social Skills
Authors: Takuji Narumi, Tomohiro Akagawa, Young Ah Seong, Michitaka Hirose
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

Although social skills are important, to increase these skills is difficult. In this paper we propose an experimental system that lets a user "feel" the appropriate distance between him/her and another person in order for social interaction to take place in an optimal setting. We created wearable thermal devices that transmit thermal information to the person wearing them and linked them to an edutainment system called "Thermo-society". "Thermo-society" is a system that creates thermal sensory spots around people in an open space. Thermal sensory spots are generated based on the knowledge of proxemics. Through an experiment, we analyze people's behavior in the space. As a result of the analysis, we estimate the average distance between two users in the same group is 1.45meters. We noticed in our experiment that people, when playing Thermo-society, allow strangers to come in personal distance in 44.4% of the cases, which suggests that our system increases the potential for social interactions.
ScaMMDB: Facing Challenge of Mass Data Processing with MMDB
Authors: Yansong Zhang, Yanqin Xiao, Zhanwei Wang, Xiaodong Ji, Yunkui Huang, Shan Wang
Venue: Advances in Web and Network Technologies, and Information Management: APWeb/WAIM 2009 International Workshops: WCMT 2009, RTBI 2009, DBIR-ENQOIR 2009, PAIS 2009, Suzhou, China, April 2-4, 2009, Revised Selected Papers (2009)

Main memory database(MMDB) has much higher performance than disk resident database(DRDB), but the architecture of hardware limits the scalability of memory capacity. In OLAP applications, comparing with data volume, main memory capacity is not big enough and it is hard to extend. In this paper, ScaMMDB prototype is proposed towards the scalability of MMDB. A multi-node structure is established to enable system to adjust total main memory capacity dynamically when new nodes enter the system or some nodes leave the system. ScaMMDB is based on open source MonetDB which is a typical column storage model MMDB, column data transmission module, column data distribution module and query execution plan re-writing module are developed directly in MonetDB. Any node in ScaMMDB can response user's requirements and SQL statements are transformed automatically into extended column operating commands including local commands and remote call commands. Operation upon certain column is pushed into the node where column is stored, current node acts as temporarily mediator to call remote commands and assembles the results of each column operations. ScaMMDB is a test bed for scalability of MMDB, it can extend to MMDB cluster, MMDB replication server, even peer-to-peer OLAP server for further applications.
Efficient Mapping of Multiresolution Image Filtering Algorithms on Graphics Processors
Authors: Richard Membarth, Frank Hannig, Hritam Dutta, Jürgen Teich
Venue: Proceedings of the 9th International Workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation (2009)

In the last decade, there has been a dramatic growth in research and development of massively parallel commodity graphics hardware both in academia and industry. Graphics card architectures provide an optimal platform for parallel execution of many number crunching loop programs from fields like image processing, linear algebra, etc. However, it is hard to efficiently map such algorithms to the graphics hardware even with detailed insight into the architecture. This paper presents a multiresolution image processing algorithm and shows the efficient mapping of this type of algorithms to the graphics hardware. Furthermore, the impact of execution configuration is illustrated and a method is proposed to determine the best configuration offline in order to use it at run-time. Using CUDA as programming model, it is demonstrated that the image processing algorithm is significantly accelerated and that a speedup of up to 33x can be achieved on NVIDIA's Tesla C870 compared to a parallelized implementation on a Xeon Quad Core.
Research on the Spatial and Temporal Characteristic of the Thermal Field in Fast-Urbanizing Area Based on Remote Sensing Image
Authors: Huang Mu-yi, Yin Qi, Wu Ci-fang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Based on remote sensing image Landsat/TM6, and supported by GIS, this article studied the Spatial and temporal characteristics of thermal field in Hangzhou since 1991 to 2005. Contrastive analysis was conducted between two phases of remote sensing images on the characteristic of thermal Spatial and temporal change, as well as the thermal change difference of different fractal section. It is indicated:  The overall surface brightness temperature showed a rising tendency, the scope of “Heat Island” increased; the change of urban thermal from 1991 to 2005 showed that only the area of low temperature region reduced, the decrement is 7.401×107 m2; while the area of intermediate temperature region, inferior high temperature region and high temperature region all increased, the increase respectively is 9.125×106m2, 2.479×108m2 and 4.010×107m2; As respect of the spatial expansion direction, in the 15 years from 1991 to 2005, the change of Hangzhou urban thermal field showed the characteristic of “outside expanding”, “dispersing”, “associating” and “inside digesting”. Fractal dimension manifested well the section change difference of brightness temperature in different urban expansion direction. The research also indicated, the change of landscape pattern in Hangzhou had the uniformity with the change of heat environment ecological effect. And the landscape pattern of urban underlying surface was the primary factor of the characteristic of urban thermal distribution.
Error estimates of the finite element method for the exterior Helmholtz problem with a modified DtN boundary condition
Authors: Daisuke Koyama
Venue: Journal of Computational and Applied Mathematics (2009)

A priori error estimates in the H^1- and L^2-norms are established for the finite element method applied to the exterior Helmholtz problem, with modified Dirichlet-to-Neumann (MDtN) boundary condition. The error estimates include the effect of truncation of the MDtN boundary condition as well as that of discretization of the finite element method. The error estimate in the L^2-norm is sharper than that obtained by the author [D. Koyama, Error estimates of the DtN finite element method for the exterior Helmholtz problem, J. Comput. Appl. Math. 200 (1) (2007) 21-31] for the truncated DtN boundary condition.
Public Key Signatures and Lightweight Security Solutions in a Wireless Environment
Authors: Dmitrij Lagutin, Sasu Tarkoma
Venue: Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wired/Wireless Networking and Second Conference on Smart Spaces (2009)

Several security solutions have been proposed for wireless networks, most of these are based on lightweight security measures and contain significant drawbacks, such as transit path dependency and high bandwidth overhead. In this work we compare a Packet Level Authentication (PLA), which is a public key based solution, against hash tree and hash chain based solutions in terms of security and energy overhead in wireless environment. We argue that due to advances in the semiconductor technology, public key based security solutions are viable for wireless networks. In many cases they actually achieve a better energy efficiency due to their lower bandwidth overhead.
Processing Top-k Monitoring Queries in Wireless Sensor Networks
Authors: Mai Hai Thanh, Ki Yong Lee, Yu Won Lee, Myoung Ho Kim
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

Top-k monitoring queries are useful in many wireless sensor network applications. There is a well-known approach called FILA to process this kind of queries. Its basic idea is to install a filter at each sensor node to avoid unnecessary transmissions of sensor readings. FILA uses two algorithms to ensure the correctness and efficiency of the approach: a query reevaluation algorithm and a filter setting algorithm. In this paper, we propose improvements to each of these two algorithms. First, we propose a decentralized query reevaluation algorithm to reduce the communication cost of sending probe messages. Second, we propose a linear regression-based filter setting algorithm to improve the effectiveness of filters. Experimental results on real data traces show that our proposed improvements further enhance the performance of FILA in terms of network lifetime.
On capturing semantics in ontology mapping
Authors: Bo Hu, Srinandan Dasmahapatra, Paul Lewis, Nigel Shadbolt
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

Ontology mapping is a complex and necessary task for many Semantk Web (SW) applications. The perspective users are faced with a number of challenges including the difficulties of capturing semantics. In this paper we present a three-dimensional ontology mapping model. This model reflects the engineering steps needed to materialise a versatile mapping system in order to meet the demands on semantic interoperability in the SW environment. We solidify the formalisation with specialised algorithms and we analyse their effectiveness and performance by way of benchmark tests.