ppxscal/embedding_network huggingface dataset:
An integrated architecture for generating parenthetical constructions
Authors: Eva Banik
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Student Research Workshop (2008)

The aim of this research is to provide a principled account of the generation of embedded constructions (called parentheticals) and to implement the results in a natural language generation system. Parenthetical constructions are frequently used in texts written in a good writing style and have an important role in text understanding. We propose a framework to model the rhetorical properties of parentheticals based on a corpus study and develop a unified natural language generation architecture which integrates syntax, semantics, rhetorical and document structure into a complex representation, which can be easily extended to handle parentheticals.
Bridging Research to Practice in Technology-Mediated Learning: Innovations and Challenges in Singapore
Authors: Chee-Kit Looi
Venue: Proceeding of the 2007 conference on Supporting Learning Flow through Integrative Technologies (2007)

We begin with the broad realization that despite decades of research and development work in technology-mediated learning that have produced many exciting systems and studies, we have yet to see pervasive, sustainable and scaleable improvements in actual classroom practice. Yet, we persist in the belief that technology-mediated learning will in the near future deliver for our learners, the promise that we have so far only glimpsed upon. There remain very broad issues of why the meaningful use of technology to engage in deep learning has not been widespread in K-12 schools; we believe that one of the crucial reasons for the lack of sustainability in the implementation of technology-enabled pedagogies in schools is the failure to understand or consider the conditions for systemic innovations. In Singapore, we have embarked on our journey in the Learning Sciences Lab to conduct school-based research from the learning sciences perspective to develop point-at-able exemplars of how to enact positive technology-enabled pedagogical innovations through direct engagement with schools. We will discuss some of the innovations we are working on, the learning sciences orientations we have undertaken, and the issues and challenges we have had to address when working with practitioners in adopting these innovations in schools. Implications are then drawn with respect to how we might conduct research work with a view of bridging acceptance amongst various stakeholders, deployment strategies, capacity building and sustainability in the context of Asian countries.
Road detection method for land consolidation using mathematical morphology from high resolution image
Authors: Rui Guo, Daoliang Li
Venue: Proceedings of the 13th WSEAS international conference on Applied mathematics (2008)

Land consolidation is a tool for increasing the area of the arable land and improving the effectiveness of land cultivation. With the development of high resolution image, the progress of land consolidation project can be monitored by acquiring information from the image objectively. This paper presents an algorithm to detect roads in land consolidation project from high resolution images. The method is based on the mathematical morphology, which is a method for detecting image components that are useful for representation and description. The vector planning maps and high resolution images used to monitor the completion of land consolidation project are registered. The candidate road areas are created using the functions of buffer and extraction by mask in GIS. Top-hat transform and gray dilation are used to filter the noise of the image. In this way the road feature in the image became wider and even more obvious to be recognized. Then image binarization and thinning algorithm are used to extract the one-pixel centerline of the road. At last, the thinning results are converted to the final vector detection results.
How to determine threat probabilities using ontologies and Bayesian networks
Authors: Stefan Fenz, Thomas Neubauer
Venue: Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies (2009)

The subjective threat probability determination is one of the main reasons for an inadequate information security strategy endangering the organization in performing its mission. To address the problem this research project proposes an ontology- and Bayesian-based approach for determining asset-specific and comprehensible threat probabilities. The elaborated concepts enable risk managers to comprehensibly quantify the current security status of their organization.
The generalized solution of the Cauchy problem for the transversal vibrations equation for the elastic thin plane plate
Authors: Wilhelm W. Kecs
Venue: Proceedings of the 10th WSEAS international conference on Mathematical and computational methods in science and engineering (2008)

In this paper the fundamental solution of the Cauchy problem for the transversal vibrations equation of the elastic thin plane plate is given. With its help the solution of the Cauchy problem corresponding to the transversal vibrations of the elastic thin plane plate, in the distribution space D′(R2), with general initial conditions is given.
Lead Field Space Projection for Spatiotemporal Imaging of Independent Brain Activities
Authors: Huiling Chan, Yong-Sheng Chen, Li-Fen Chen, Tzu-Hua Chen, I-Tzu Chen
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III (2009)

Magnetoencephalography and electroencephalography are non-invasive instruments that can record magnetic fields and scalp potentials, respectively, induced from neuronal activities. The recordings are superimposed signals contributed from the whole brain. Independent component analysis (ICA) can provide a way of decomposition by maximizing the mutual independence of separated components. Beyond the temporal profile and topography provided by ICA, this work aims to estimate and map the cortical source distribution for each component. The proposed method first constructs a source space using lead field vectors for vertices on the cortical surface. By projecting the specified components to this source space, our method provides the corresponding spatiotemporal maps for these independent brain activities. Experiments using simulated brain activities clearly demonstrate the effectiveness and accuracy of the proposed method.
What's a head without a body?
Authors: Christian Anger, Martin Gebser, Tomi Janhunen, Torsten Schaub
Venue: Proceeding of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy (2006)

Concepts in Answer Set Programming (ASP) are normally defined in terms of atoms.We show that the treatment of atoms and bodies (of rules) as equitable computational objects may yield exponential speed-ups, even for standard ASP-solvers such as smodels. To this end, we give simple transformations providing solvers with access to both kinds of objects and show that some families of examples can be solved exponentially faster after they have been transformed. We prove that these transformations may yield exponentially smaller search spaces.
Computer mediated teamwork and the efficiency framework: Exploring the influence of synchrony and cues on media satisfaction and outcome success
Authors: Kristine L. Nowak, James Watt, Joseph B. Walther
Venue: Computers in Human Behavior (2009)

There are many valid ways to evaluate collaborative systems. The efficiency framework argues that while user satisfaction and preference for systems are important, neither directly predict outcome success or the ability of a system to facilitate collaboration. Further, it points to the importance of distinguishing between user satisfaction and outcome success when evaluating collaborative systems. Despite users' reported preferences for media requiring less effort and time, the efficiency framework predicts that the expenditure of effort better predicts outcome success than do user preferences. This study tests these predictions and extends the model by comparing synchronous and asynchronous media with varying levels of communicative cues. One hundred and forty-two participants in groups of 3 or 4 engaged in collaboration over a 5week period. Groups were assigned to either interact face-to-face, or to one of four media conditions. There were no effects on actual group success that favored full-cue, synchronous communication. There was greater perceived group effectiveness for synchronous text and face-to-face interactions. Exploratory structural equation analysis showed that media characteristics predict copresence, which increases perceptions of group effectiveness, which in turn predict success. The results support the main assertion of the efficiency framework and explain some contradictions in prior research. Results are discussed with respect to their pertinence for theoretical and measurement issues in human computer interaction research.
Prediction of hemoglobin structure from DNA sequence through neural network and hidden Markov model
Authors: R. I. Mubark, H. A. Keshk, M. I. Eladawy
Venue: Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics (2008)

One of the greatest challenges today in bioinformatics is to predict the structure of the protein from the DNA sequence. Protein structural domains are often associated with a particular protein function also the structure contains a valuable information to the biologists instead of the meaningless sequence. Because the experimental techniques that used to determine protein structure such as the x-ray crystallography and Nuclear Magnetic Resonance "NMR" spectroscopy are very expensive and can not be applied all the time, so the prediction may be the way to get the protein structure. In this work we will be able to predict the 3D structure of hemoglobin using two techniques; the neural network and hidden Markov model. Also, the prediction of the secondary structure is applied using multiple alignments.
A mechanism for flexible dynamic trait replacement
Authors: Lorenzo Bettini, Sara Capecchi, Ferruccio Damiani
Venue: Proceedings of the 11th International Workshop on Formal Techniques for Java-like Programs (2009)

Dynamic trait replacement is a programming language feature for changing the objects' behavior at runtime by replacing some of the objects' methods. In previous work on dynamic trait replacement for JAVA-like languages, the object's methods that may be replaced must correspond exactly to a named trait used in the object's class definition. In this paper we propose the notion of replaceable: a programming language feature that decouples trait replacement operation code and class declaration code, thus making it possible refactoring classes and/or performing unanticipated trait replacement operations without invalidating existing code.
Bayesian network based business information retrieval model
Authors: Zheng Wang, Qing Wang, Ding-Wei Wang
Venue: Knowledge and Information Systems (2009)

The quality of business information can significantly affect the operation level of enterprise. This paper analyses the problem of business information retrieval (BIR). A Bayesian Network Based business information retrieval model (BN-BIRM) is proposed by means of Bayesian network (BN) and information retrieval (IR) theory and a method for query adaptation is presented. In this model the customized query requirement of enterprise (CQR) is expressed in terms of the predefined illustrative documents related to business domain. The similarities between the documents and the query are evaluated with the conditional probabilities among the nodes in the BN. In the experiments, BN-BIRM is compared with the Belief Network model based on vector space model (VSM) ranking strategy and the Inference Network model based on TF-IDF ranking strategy. The experimental results show that BN-BIRM is effective for collecting business information on a large scale.
A Power Benchmarking Framework for Network Devices
Authors: Priya Mahadevan, Puneet Sharma, Sujata Banerjee, Parthasarathy Ranganathan
Venue: Proceedings of the 8th International IFIP-TC 6 Networking Conference (2009)

Energy efficiency is becoming increasingly important in the operation of networking infrastructure, especially in enterprise and data center networks. Researchers have proposed several strategies for energy management of networking devices. However, we need a comprehensive characterization of power consumption by a variety of switches and routers to accurately quantify the savings from the various power savings schemes. In this paper, we first describe the hurdles in network power instrumentation and present a power measurement study of a variety of networking gear such as hubs, edge switches, core switches, routers and wireless access points in both stand-alone mode and a production data center. We build and describe a benchmarking suite that will allow users to measure and compare the power consumed for a large set of common configurations at any switch or router of their choice. We also propose a network energy proportionality index, which is an easily measurable metric, to compare power consumption behaviors of multiple devices.
SAP on Windows
Authors: Josef Stelzel, Uwe M. Hoffmann, Ulrich B. Boddenberg, Michael Mibach
Venue:  (2007)

This book provides administrators, consultants, and project managers with proven methods and detailed solutions for the successful implementation and operation of SAP systems on Microsoft Windows platforms. Each chapter contains in-depth information on topics such as application requirements, data center technologies, and IT operations. You'll quickly familiarize yourself with typical issues involved in live operations and uncover tried and tested best practices for the consistent administration of systems, different virtualization and automation technologies as well as monitoring and deployment solutions. In addition, this unique reference discusses security concepts and describes the process of planning scalable system landscapes in order to deliver high system availability. To ensure the ongoing, stable and secure operation of your data center, the authors also provide you with a detailed coverage of new developments and challenges you'll likely have to face when implementing enterprise SOA and Windows Server 2008. Highlights: SAP and Microsoft: Components, Solutions, Tools Installation and Maintenance: Profiles, Programs, Instances, Analyses System Operation: Hardware and Software Infrastructure, Tools, Organizing the IT Department IT Services: File Services, Print Services, Active Directory, MOM High Availability: Data and Applications, Risk Analysis, RAID Procedures Security: Authentication and Authorization, Encryption, Identity Management Future Developments: Virtualization, Adaptive Computing, Duet, Windows Server 2008
Digital camera calibration analysis using perspective projection matrix
Authors: Barranco Gutiérrez Alejandro Israel, José De Jesús Medel Juárez
Venue: Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation (2009)

This work presents a novel and simplified technique to estimate the perspective projective matrix elements of calibration matrix for pinhole model in Digital Camera Calibration. The "perspective projective matrix parameters" are variables depending of environmental changes and position and/or orientation camera so we propose a dynamical and stochastic method to model the uncertain in the parameters estimation. It is well suited for use without specialized knowledge of 3D geometry or computer vision. Two morphological matrix operations are introduced: Central(Xk, Yk) and Column(Mk) to generalize the process which obtain the estimated parameters based on pseudo-inverse calculus without consider measures errors, this calibration procedure focus only on perspective projective matrix elements. The mean value respect to 3D points and 2D points used as input information. The theoretical results give a good enough approximation result considering the pseudo-inverse matrix calculus method. In the same sense, the experimental results showed a satisfactory advance in the parameters stochastic estimation theory, respect to velocity change gains.
A scalable key pre-distribution mechanism for large-scale wireless sensor networks
Authors: An-Ni Shen, Song Guo, Hung Yu Chien, Minyi Guo
Venue: Concurrency and Computation: Practice Experience (2009)

Many applications of wireless sensor network (WSN) require secure data communications, especially in a hostile environment. In order to protect the sensitive data and the sensor readings, secret keys should be used to encrypt the exchanged messages between communicating nodes. Traditional asymmetric key cryptosystems are infeasible in WSNs due to the extremely low capacity and constrained resources at each senor node. Recently proposed protocols are either vulnerable to the large-scale node capture attacks or lack of performance scalability in terms of storage, communication and computation costs. To address these limitations, we study the key pre-distribution schemes in this paper and propose a new one with all of the following properties which are particularly beneficial to the large-scale resource-constrained WSNs: (1) it completely defends against the node capture attacks, (2) it provides full connectivity of the network, and (3) it reduces the storage and communication overhead significantly compared with the other proposals. Copyright &copy; 2009 John Wiley & Sons, Ltd.
On Issues of Feature Extraction in Chinese Automatic Essay Scoring System
Authors: Tao-Hsing Chang, Chia-Hoang Lee, Hak-Ping Tam
Venue: Proceeding of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work (2007)

Automatic essay scoring is a very important tool for many educational researches. However, the linguistic differences between Chinese and English indicate a need to reconsider various issues when designing Chinese automatic essay scoring systems. This study proposes system architecture for developing a Chinese automatic essay scoring system and analyzes various issues related to feature extraction of Chinese writing.
Classification of Hepatic Tissues from CT Images Based on Texture Features and Multiclass Support Vector Machines
Authors: Luyao Wang, Zhi Zhang, Jingjing Liu, Bo Jiang, Xiyao Duan, Qingguo Xie, Daoyu Hu, Zhen Li
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II (2009)

A computer-aided diagnosis (CAD) of X-ray Computed Tomography (CT) liver images with contrast agent injection is presented. Regions of interests (ROIs) on CT liver images are defined by experienced radiologists. For each ROI, texture features based on first order statistics (FOS), spatial gray level dependence matrix (SGLDM), gray level run length matrix (GLRLM) and gray level difference matrix (GLDM) are extracted. Support vector machine (SVM) is originally for binary classification. In order to classify hepatic tissues from CT images into primary hepatic carcinoma, hemangioma and normal liver, we utilize two methods to construct multiclass SVMs: one-against-all (OAA), one-against-one (OAO) and compare their performance. The result shows that a total accuracy rate of 97.78% is obtained with the multiclass SVM using the OAO method. Our study has some practical significance for clinical diagnosis.
Executable Specifications of Fully General Attribute Grammars with Ambiguity and Left-Recursion
Authors: Rahmatullah Hafiz
Venue: Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence (2009)

A top-down parsing algorithm has been constructed to accommodate any form of ambiguous context-free grammar, augmented with semantic rules with arbitrary attribute dependencies. A memoization technique is used with this non-strict method for efficiently processing ambiguous input. This one-pass approach allows Natural Language (NL) processors to be constructed as executable, modular and declarative specifications of Attribute Grammars.
Enhancing the Bilingual Concordancer TransSearch with Word-Level Alignment
Authors: Julien Bourdaillet, Stéphane Huet, Fabrizio Gotti, Guy Lapalme, Philippe Langlais
Venue: Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence (2009)

Despite the impressive amount of recent studies devoted to improving the state of the art of Machine Translation (MT), Computer Assisted Translation (CAT) tools remain the preferred solution of human translators when publication quality is of concern. In this paper, we present our perspectives on improving the commercial bilingual concordancer TransSearch, a Web-based service whose core technology mainly relies on sentence-level alignment. We report on experiments which show that it can greatly benefit from statistical word-level alignment.
A domain attraction criterion for interval fuzzy neural networks
Authors: Tingwen Huang, Chuandong Li, Zhigang Zeng
Venue: Computers Mathematics with Applications (2009)

In this paper, we study qualitative properties of equilibrium points in a class of interval fuzzy neural networks, and obtain an estimate on the domain of robust attraction of locally exponentially stable equilibrium points. Both the conditions and the estimate are formulated in terms of the parameter intervals, so they are easily verifiable. The result can be used for the evaluation of fault-tolerance capability for interval fuzzy neural networks.
An Ontology for Grounding Vague Geographic Terms
Authors: Brandon Bennett, David Mallenby, Allan Third
Venue: Proceeding of the 2008 conference on Formal Ontology in Information Systems: Proceedings of the Fifth International Conference (FOIS 2008) (2008)

Many geographic terms, such as “river” and “lake”, are vague, with no clear boundaries of application. In particular, the spatial extent of such features is often vaguely carved out of a continuously varying observable domain. We present a means of defining vague terms using standpoint semantics, a refinement of the philosophical idea of supervaluation semantics. Such definitions can be grounded in actual data by geometric analysis and segmentation of the data set. The issues raised by this process with regard to the nature of boundaries and domains of logical quantification are discussed. We describe a prototype implementation of a system capable of segmenting attributed polygon data into geographically significant regions and evaluating queries involving vague geographic feature terms.