ppxscal/embedding_network huggingface dataset:
Computing Domains of Attraction for Planar Dynamics
Authors: Daniel S. Graça, Ning Zhong
Venue: Proceedings of the 8th International Conference on Unconventional Computation (2009)

In this note we investigate the problem of computing the domain of attraction of a flow on ¿2 for a given attractor. We consider an operator that takes two inputs, the description of the flow and a cover of the attractors, and outputs the domain of attraction for the given attractor. We show that: (i) if we consider only (structurally) stable systems, the operator is (strictly semi-)computable; (ii) if we allow all systems defined by C 1-functions, the operator is not (semi-)computable. We also address the problem of computing limit cycles on these systems.
DUDE: a dialogue and understanding development environment, mapping business process models to information state update dialogue systems
Authors: Oliver Lemon, Xingkun Liu
Venue: Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations (2006)

We demonstrate a new development environment "Information State Update" dialogue systems which allows non-expert developers to produce complete spoken dialogue systems based only on a Business Process Model (BPM) describing their application (e.g. banking, cinema booking, shopping, restaurant information). The environment includes automatic generation of Grammatical Framework (GF) grammars for robust interpretation of spontaneous speech, and uses application databases to generate lexical entries and grammar rules. The GF grammar is compiled to an ATK or Nuance language model for speech recognition. The demonstration system allows users to create and modify spoken dialogue systems, starting with a definition of a Business Process Model and ending with a working system. This paper describes the environment, its main components, and some of the research issues involved in its development.
Analysis of Information Disclosure on a Social Networking Site
Authors: Katherine Peterson, Katie A. Siek
Venue: Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009 (2009)

We present a small study about information disclosure and awareness of disclosure implications on Couchsurfing.com. Couchsurfing is an online social networking site where users connect with others interested in traveling and staying at each other's homes. Since users are looking for someone to stay or travel with, they must develop a rapport and trust before traveling. This leads users to share more information on their Couchsurfing profile than they ordinarily would share on mainstream social networking sites such as Facebook or MySpace. After a survey with twenty Couchsurfing users and semi-structured interviews with nine participants, we found participants were generally not concerned with the information they disclosed online and were not aware of how this information could be used against them by malicious third parties. We conclude the paper with a brief discussion of how designers and developers could utilize personas to better inform participants of the implications of their disclosure decisions.
Simulation of River Water Quality Using Grey Numerical Model
Authors: Changjun Zhu, Zhenchun Hao, Qin Ju
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

With the development of social and economic, the pollution in river is worse. It is very important to study river pollution. In view of the uncertainty of river water pollution, Velocity and dispersion coefficient and attenuation in river are considered as uncertainty parameters and expressed as grey parameters. One dimensional gray numerical water quality model is developed according to gray theory. The model has an especial structure and the gray numerical arithmetic solving this kind model is given and compared with the classic arithmetic. The simulation results are an grey scope not an exact value. The result shows that the algorithm is feasible and reliable to simulate water quality
From observation to simulation: generating culture-specific behavior for interactive systems
Authors: Matthias Rehm, Yukiko Nakano, Elisabeth Andr&#x00e9;, Toyoaki Nishida, Nikolaus Bee, Birgit Endrass, Michael Wissner, Afia Akhter Lipi, Hung-Hsuan Huang
Venue: AI Society (2009)

In this article we present a parameterized model for generating multimodal behavior based on cultural heuristics. To this end, a multimodal corpus analysis of human interactions in two cultures serves as the empirical basis for the modeling endeavor. Integrating the results from this empirical study with a well-established theory of cultural dimensions, it becomes feasible to generate culture-specific multimodal behavior in embodied agents by giving evidence for the cultural background of the agent. Two sample applications are presented that make use of the model and are designed to be applied in the area of coaching intercultural communication.
Large-Scale Network Decomposition and Mathematical Programming Based Web Service Composition
Authors: Li Ying Cui, Soundar Kumara, John Jung-Woon Yoo, Fatih Cavdur
Venue: Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing (2009)

In this paper, we propose a web service composition technique considering Semantic properties and Quality of Service attributes using CK- matrix and large scale network topology analysis. This method stores the network structure in CK-matrix and decomposes the query into sub-regions according to the structure of the large-scale network. The method can find optimal, alternative or inferior solutions according to the varying requirements of the customers.
Information Technology for Retail
Authors: Girdhar Joshi
Venue: Oxford Higher Education (2009)

Information Technology for Retail is a concise yet comprehensive book for students pursuing post- and under-graduate courses in retail management. The book elaborates functions and sub functions of retailing. These form the main part of retail operations and are being facilitated by IT these days. Beginning with the basics of information technology and information systems, the book goes on to elaborate on the hardware and software of e-point of sales, automatic identification and data capture, database management systems, network and telecommunication. It discusses retail servicescape and types of retailers, modern electronic payment systems, enterprise resource planning systems and their functions and features in the retail context. It also covers applications of supply chain management and customer relationship management, electronic commerce--e-tailing, emerging technologies like mobile computing, m-commerce, global positioning systems, and also various retail IT products and vendors. The book illustrates the theories with practical retail scenario examples. This book will be useful for retail students and also for professionals working in retail businesses. 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
Document Categorization with Entropy Based TF/IDF Classifier
Authors: Yi-hong Lu, Yan Huang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

The task of text categorization is assigning a given text document to one or more predefined categories. High availability of digital data requires methods for automatic processing of this data. Day-by day increase of this digital data gives rise to the need of fast and better text classifiers. This paper mainly focuses on classifying data in context of text categorization. This paper reports a study conducted on 20 newsgroup dataset, using TFIDF in the context of document categorization. Feature selection is added to this result to improvise the categorization. The results achieved using this algorithm are very promising when compared to conventional methods with features chosen on the basis of bag-of-words text.
Designing the Model Human Cochlea: An Ambient Crossmodal Audio-Tactile Display
Authors: Maria Karam, Frank A. Russo, Deborah I. Fels
Venue: IEEE Transactions on Haptics (2009)

We present a Model Human Cochlea (MHC), a sensory substitution technique and system that translates auditory information into vibrotactile stimuli using an ambient, tactile display. The model is used in the current study to translate music into discrete vibration signals displayed along the back of the body using a chair form factor. Voice coils facilitate the direct translation of auditory information onto the multiple discrete vibrotactile channels, which increases the potential to identify sections of the music that would otherwise be masked by the combined signal. One of the central goals of this work has been to improve accessibility to the emotional information expressed in music for users who are Deaf or hard of hearing. To this end, we present our prototype of the MHC, two models of sensory substitution to support the translation of existing and new music, and some of the design challenges encountered throughout the development process. Results of a series of experiments conducted to assess the effectiveness of the MHC are discussed, followed by an overview of future directions for this research.
Competence driven case-base mining
Authors: Rong Pan, Qiang Yang, Jeffrey Junfeng Pan, Lei Li
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

We present a novel algorithm for extracting a high-quality case base from raw data while preserving and sometimes improving the competence of case-based reasoning. We extend the framework of Smyth and Keane's case-deletion policy with two additional features. First, we build a case base using a statistical distribution that is mined from the input data so that the case-base competence can be preserved or even increased for future problems. Second, we introduce a nonlinear transformation of the data set so that the case-base sizes can be further reduced while ensuring that the competence be preserved and even increased. We show that Smyth and Keane's deletion-based algorithm is sensitive to noisy cases, and that our solution solves this problem more satisfactorily. We show the theoretical foundation and empirical evaluation on several data sets.
Jump-Diffusion Stochastic Volatility Model for Estimating the Returns of GBP/CNY Exchange Rates
Authors: Ruicheng Yang, Fenglei Wang, Bing Xia
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

In this paper we discuss the volatility of daily returns of GBP/CNY exchange rates, find there exists a leptokurtic feature (higher peak and fat tail) that results from some occasional jumps. So, we introduce the jump-diffusion stochastic volatility model to describe the time series of daily returns, and give the parameter estimations by MLE (maximum likelihood estimation) method. Through the empirical analysis, we compare the simulated data to the real data, derive that the jump-diffusion stochastic volatility model can better fitting the time series of daily returns.
Wireless Mesh Network Planning and Optimization through Genetic Algorithms
Authors: Rastin Pries, Dirk Staehle, Marieta Stoykova, Barbara Staehle, Phuoc Tran-Gia
Venue: Proceedings of the 2009 Second International Conference on Advances in Mesh Networks (2009)

Wireless Mesh Networks (WMNs) are a promising technology for providing broadband wireless access to the end user. They offer a higher degree of flexibility compared to traditional networks but on the expense of a more complex structure. Thus, planning and optimization of WMNs is a challenge. In this paper, we address this challenge using genetic algorithms. Genetic algorithms are able to evaluate and optimize large-scale WMNs in relatively small computation time. The results prove the effectiveness of the genetic operators to optimize the routing and channel assignment in WMNs.
Probabilistic and Empirical Grounded Modeling of Agents in (Partial) Cooperative Traffic Scenarios
Authors: Claus Möbus, Mark Eilers, Hilke Garbe, Malte Zilinski
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

The Human Centered Design (HCD) of Partial Autonomous Driver Assistance Systems (PADAS) requires Digital Human Models (DHMs) of human control strategies for simulations of traffic scenarios. The scenarios can be regarded as problem situations with one or more (partial) cooperative problem solvers. According to their roles models can be descriptive or normative. We present new model architectures and applications and discuss the suitability of dynamic Bayesian networks as control models of traffic agents: Bayesian Autonomous Driver (BAD) models. Descriptive BAD models can be used for simulating human agents in conventional traffic scenarios with Between-Vehicle-Cooperation (BVC) and in new scenarios with In-Vehicle-Cooperation (IVC). Normative BAD models representing error free behavior of ideal human drivers (e.g. driving instructors) may be used in these new IVC scenarios as a first Bayesian approximation or prototype of a PADAS.
An Interaction Based Approach to Document Segmentation for the Visually Impaired
Authors: Robert Keefer, Dimitris Dakapoulos, Anna Esposito, Nikoloaos Bourbakis
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

While reading devices for the visually impaired have been available for many years, they are often expensive and difficult to use. The image processing required to enable the reading task is a composition of several important sub-tasks, such as image capture, binarization, pyramidal representation, region segmentation, regions grouping, separation of text sentences from images, words recognition, etc. In this paper we deal with some of these sub-tasks in an effort to prototype a machine (Tyflos-reader) that will read a document for a person with a visual impairment and respond to voice commands for control. The methodology used and illustrative results are provided in this paper.
The Impact of Resource Sharing Control on the Design of Multicore Processors
Authors: Chen Liu, Jean-Luc Gaudiot
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

One major obstacle faced by designers when entering the multicore era is how to harness the massive computing power which these cores provide. Since Instructional-Level Parallelism (ILP) is inherently limited, one single thread is not capable of efficiently utilizing the resource of a single core. Hence, Simultaneous MultiThreading (SMT) microarchitecture can be introduced in an effort to achieve improved system resource utilization and a correspondingly higher instruction throughput through the exploitation of Thread-Level Parallelism (TLP) as well as ILP. However, when multiple threads execute concurrently in a single core, they automatically compete for system resources. Our research shows that, without control over the number of entries each thread can occupy in system resources like instruction fetch queue and/or reorder buffer, a scenario called "mutual-hindrance" execution takes place. Conversely, introducing active resource sharing control mechanisms causes the opposite situation ("mutual-benefit" execution), with a possible significant performance improvement and lower cache miss frequency. This demonstrates that active resource sharing control is essential for future multicore multithreading microprocessor design.
Subword-based tagging by conditional random fields for Chinese word segmentation
Authors: Ruiqiang Zhang, Genichiro Kikui, Eiichiro Sumita
Venue: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX (2006)

We proposed two approaches to improve Chinese word segmentation: a subword-based tagging and a confidence measure approach. We found the former achieved better performance than the existing character-based tagging, and the latter improved segmentation further by combining the former with a dictionary-based segmentation. In addition, the latter can be used to balance out-of-vocabulary rates and in-vocabulary rates. By these techniques we achieved higher F-scores in CITYU, PKU and MSR corpora than the best results from Sighan Bakeoff 2005.
Challenges and Issues of the Integration of RADIC into Open MPI
Authors: Leonardo Fialho, Guna Santos, Angelo Duarte, Dolores Rexachs, Emilio Luque
Venue: Proceedings of the 16th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface (2009)

Parallel machines are growing in complexity and number of components which increases fault probability. Thus, MPI applications running on these machines may not reach completion. This paper presents RADIC/OMPI, which is the integration of RADIC fault tolerance architecture into Open MPI. RADIC/OMPI relies on uncoordinated checkpoints combined with pessimistic receiver-based message logs in a distributed way without the need to use any central or stable elements. Due to this, it assures the application completion automatically and transparently for users and administrators. We concluded that within certain applications RADIC/OMPI provides fault tolerance with an acceptable overhead even in the presence of consecutive faults.
Playful learning with hybrid school books
Authors: Timo Kuula, Sami Vihavainen, Anu Seisto
Venue: Proceedings of the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era (2009)

This paper presents the preliminary results of a hybrid school book study. Books were designed and tested to make learning more playful, and to enlarge the role of printed book in school work.
Advances and Trends of Bionic Underwater Propulsors
Authors: Daibing Zhang, K. H. Low, Haibin Xie, Lincheng Shen
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

In recent twenty years, tens of the bionic underwater prototype propulsors which imitate aquatic animals have been invented. The bionic principles hand classification of bionic propulsors were presented firstly. The main advance of the bionic propulsors in the world has been listed in table form. Then the bottlenecks which include low efficiency and massive mechanism, hard-shelled reverse control method and exterior hydro-dynamic analysis are discussed. The future trends of the bionic underwater propulsors are forecasted. The main potential breakthroughs include innovative smart actuators and bionic neural control methods.
A Hybrid Intelligent Algorithm for Grain Logistics Vehicle Routing Problem
Authors: Le Xiao, Bo Lang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Vehicle routing problems (VRP) arise in many real-life applications within transportation and logistics. This paper considers vehicle routing models in grain logistics (GLVRP) and its hybrid intelligent algorithm. The objective of GLVRP is to use a fleet of vehicles with specific capacity to serve a number of customers with fixed demand and time window constraints. A hybrid intelligent algorithm base on particle swarm and ant colony optimization (PSACO-GLVRP) is proposed to solve this problem. Both particle swarm optimization (PSO) and ant colony optimization (ACO) are co-operative, population-based global search swarm intelligence metaheuristics. PSO is inspired by social behavior of bird flocking or fish schooling, while ACO imitates foraging behavior of real life ants. In the experiments, a number of numerical examples are carried out for testing and verification. The Computational results confirm the efficiency of the proposed methodology.
Congestion Propagation in Multihop Wireless Networks
Authors: Yoichi Yamasaki, Hiroyuki Koga, Yutaka Fukuda, Masayoshi Shimamura, Yuji Oie
Venue: Proceedings of the 2009 Ninth Annual International Symposium on Applications and the Internet (2009)

Multihop Wireless Networks (MWNs) are expected to expand the area of wireless access networks, which consist of multiple access points in the area of a wireless LAN and connect these access points with wireless links. However, the MWNs still have many issues to provide good quality of service. For example, it is not clear about traffic characteristics over the MWNs. In this paper, therefore, we investigate the characteristics of MWNs based on the congestion propagation between wireless routers reported in wired networks.Furthermore, we show the impact of the congestion propagation on the network performance in various network parameters by means of simulations.
Support Vector Machines for Incident Detection in Urban Signalized Arterial Street Networks
Authors: Zhaosheng Yang, Ciyun Lin, Bowen Gong
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

An important method to solve the urban traffic congestion is to detect and identify the incident state before it becomes severity. This paper describes the development of support vector machines for urban signalized arterial streets incident detection. Input vector using two types of data: fixed detectors and probe vehicles. Incident detection is accomplished using five approaches: processing traffic input data with ARFIMA model, source data training with SVM, incident state that using to training SVM with fuzzy logic and then multiple attribute of incident state from fixed detector and probe vehicles with data fusion to decide the links and network state. Analysis data generated from a simulation of a small network are used. Different model are used to compared and evaluate the performance of the model of this paper.
Scanning Probe Image Processor 4.8: User's and Reference Guide
Authors: Jan Friis Jorgensen
Venue:  (2009)

Printed User's and Reference Guide for the Scanning Probe Image Processor, SPIP. The SPIP software (not included) offers an unmatched level of image processing facilities designed with uncompromising attention to accuracy, efficiency, and data presentation excellence. SPIP is a comprehensive software package containing many generic analytical and visualization tools that can be applied on various types of images and curve data, for example images from electron-, interference-, and optical microscopes. In particularly SPIP has specialized tools for correcting and analyzing Scanning Probe Microscope (SPM) data including force curve analysis and Continuous Imaging Tunneling Spectroscopy (CITS). In addition to detailed surface characterization, SPIP is the most powerful tool for characterizing scanning probe instruments and diagnosing environmental noise and vibration problems. You can download a free evaluation copy of SPIP at www.imagemet.com. 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