ppxscal/embedding_network huggingface dataset:
Structure-based evaluation of an Arabic semantic query expansion using the JIRS passage retrieval system
Authors: Lahsen Abouenour, Karim Bouzoubaa, Paolo Rosso
Venue: Proceedings of the EACL 2009 Workshop on Computational Approaches to Semitic Languages (2009)

The adoption of semantic Query Expansion (QE) could be useful in the context of Question/Answering (Q/A) systems. For the Arabic language this is a challenging task since it has many particularities (short vowels, absence of capital letters, complex morphology, etc.). This paper presents an evaluation of a proposed semantic QE based on Arabic WordNet (AWN). Two types of experiments are conducted: the keyword-based evaluation which uses a classical search engine as passage retrieval system, and the structure-based evaluation that uses the Java Information Retrieval System (JIRS) which takes into account the structure of the question. Results show that the best performances in terms of accuracy and Mean Reciprocal Rank are reached when the proposed semantic QE together with JIRS are used.
Study on Disaster Risk Management Framework in Tourist Destination
Authors: Xinliang Ye, Jiahong Wen
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

It has been proved by the practice that effective emergency management after a disaster still causes an irreparable loss. The paper explores the difference between risk management and emergency management in tourist destination based on the theory and practice of disaster risk management in tourism destination in China and abroad. Then the paper studies the methodology of establishing disaster risk management framework in particular tourist destination, including the work framework, laws and regulations framework and institutional framework. The paper puts forward a four-in-one tourism risk management framework what was called by TGER DRM, from the aspect of cooperation of tourists, local governments, tourism operating enterprises and local residents.
Study the Test Methods and Pavement Performance Indexes about Hard Asphalt Binder Material
Authors: Renjie Qin, Li Yuzhi
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

In order to improve high temperature stability and water stability of the asphalt pavement, there have mainly the methods and measures as optimization grade, increasing asphalt amount, enhancing compactness and so on. Though these methods improve the high temperature stability and water stability to some extend, they are not fundamentally methods to solve the problems. This paper analyzes the indexes of high temperature performance, low temperature stability, temperature susceptibility, fatigue resistance performance and water stability about the different materials of hard asphalt (a-30 asphalt), a-70 asphalt, and modified asphalt. According to the analyzing results, the paper educes that hard asphalt material is better than other materials and puts forward the test methods and pavement performance indexes of hard asphalt binder material
Interactive Therapeutic Multi-sensory Environment for Cerebral Palsy People
Authors: Cesar Mauri, Agusti Solanas, Toni Granollers, Joan Bagés, Mabel García
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

The Interactive Therapeutic Sensory Environment (ITSE) research project offers new opportunities on stimulation, interaction and interactive creation for people with moderate and severe mental and physical disabilities. Mainly based on computer vision techniques, the ITSE project allows the gathering of users' gestures and their transformation into images, sounds and vibrations. Currently, in the APPC, we are working in a prototype that is capable of generating sounds based on the users' motion and to process digitally the vocal sounds of the users. Tests with impaired users show that ITSE promotes participation, engagement and play. In this paper, we briefly describe the ITSE system, the experimental methodology, the preliminary results and some future goals.
Detection of Masses in Mammographic Images Using Simpson's Diversity Index in Circular Regions and SVM
Authors: André Pereira Nunes, Aristófanes Corrêa Silva, Anselmo Cardoso Paiva
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

Breast cancer is one of the major causes of death among women all over the world. Presently, mammographic analysis is the most used method for early detection of abnormalities. This paper presents a computational methodology to help the specialist with this task. In the first step, the K-Means clustering algorithm and the Template Matching technique are used to detect suspicious regions. Next, the texture of each region is described using the Simpson's Diversity Index, which is used in Ecology to measure the biodiversity of an ecosystem. Finally, the information of texture is used by SVM to classify the suspicious regions into two classes: masses and non-masses. The tests demonstrate that the methodology has 79.12% of accuracy, 77.27% of sensitivity, and 79.66% of specificity.
Aesthetic measure of alignment and regularity
Authors: Helen Y. Balinsky, Anthony J. Wiley, Matthew C. Roberts
Venue: Proceedings of the 9th ACM symposium on Document engineering (2009)

To be effective as communications or sales tools, documents that are personalized and customized for each customer must be visually appealing and aesthetically pleasing. Producing perhaps millions of unique versions of essentially the same document not only presents challenges to the printing process but also disrupts the standard quality control procedures. The quality of the alignment in each document can easily distinguish professionally looking documents from amateur designs and some computer generated layouts. A multicomponent measure of document alignment and regularity, derived directly from designer knowledge, is developed and presented in computable form. The measure includes: edge quality, page connectivity, grid regularity and alignment statistics. It is clear that these components may have different levels of importance, relevance and acceptability for various document types and classes, thus the proposed measure should always be evaluated against the requirements of the desired class of documents.
Soft authentication using an infrared ceiling sensor network
Authors: T. Hosokawa, M. Kudo, H. Nonaka, J. Toyama
Venue: Pattern Analysis Applications (2009)

Person identification is needed to provide various personalized services at home or at the office. We propose a system for tracking persons identified at the entrance to a room in order to realize &#x201c;soft authentication.&#x201d; Our system can be constructed at low cost and works anytime and anywhere in a room. Through experiments, we confirmed that the system could track up to 5 persons with a high probability of correct identification, though precise identification is difficult.
Color Deconvolution and Support Vector Machines
Authors: Charles E. Berger, Cor J. Veenman
Venue: Proceedings of the 3rd International Workshop on Computational Forensics (2009)

Methods for machine learning (support vector machines) and image processing (color deconvolution) are combined in this paper for the purpose of separating colors in images of documents. After determining the background color, samples from the image that are representative of the colors to be separated are mapped to a feature space. Given the clusters of samples of either color the support vector machine (SVM) method is used to find an optimal separating line between the clusters in feature space. Deconvolution image processing parameters are determined from the separating line. A number of examples of applications in forensic casework are presented.
A New Gabor Phase Difference Pattern for Face and Ear Recognition
Authors: Yimo Guo, Guoying Zhao, Jie Chen, Matti Pietikäinen, Zhengguang Xu
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

A new local feature based image representation method is proposed. It is derived from the local Gabor phase difference pattern (LGPDP). This method represents images by exploiting relationships of Gabor phase between pixel and its neighbors. There are two main contributions: 1) a novel phase difference measure is defined; 2) new encoding rules to mirror Gabor phase difference information are designed. Because of them, this method describes Gabor phase difference more precisely than the conventional LGPDP. Moreover, it could discard useless information and redundancy produced near quadrant boundary, which commonly exist in LGPDP. It is shown that the proposed method brings higher discriminative ability to Gabor phase based pattern. Experiments are conducted on the FRGC version 2.0 and USTB Ear Database to evaluate its validity and generalizability. The proposed method is also compared with several state-of-the-art approaches. It is observed that our method achieves the highest recognition rates among them. 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
E-transformation and Human Resources Management Technologies: Organizational Outcomes and Challenges
Authors: Tanya Bondarouk, Huub Rual, Karine Guiderdoni-jourdain, Ewan Oiry
Venue: Handbook Of Research (2009)

Digital advancements and discoveries are now challenging traditional human resource management services within businesses. The Handbook of Research on E-Transformation and Human Resources Management Technologies: Organizational Outcomes and Challenges provides practical, situated, and unique knowledge on innovative e-HRM technologies that add competitive advantage to organizations. This Handbook of Research expands on theoretical conceptualizations of e-HRM useful to researchers, academicians, and human resource managers.
Technical and Phonetic Aspects of Speech Quality Assessment: The Case of Prosody Synthesis
Authors: Jana Tučková, Jan Holub, Tomáš Duběda
Venue: Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions: COST Action 2102 International Conference Prague, Czech Republic, October 15-18, 2008 Revised Selected and Invited Papers (2009)

The present paper proposes a discussion of methods used for subjective assessment of speech quality in technical sciences and in linguistics. Stressing the fact that purely mathematical evaluation of synthetic speech is not sufficient, we try to show that the perspectives and approaches used in the two scientific domains are not necessarily the same. Next we proceed to a pilot experiment consisting in the assessment of synthetic sentences as generated by five different prosodic models, by means of the MOS formalism (ITU-T P.800). The two groups of listeners involved (students of engineering vs. linguistics) provide rather similar results.
IceSynth: An Image Synthesis System for Sea-Ice Segmentation Evaluation
Authors: Alexander Wong, Wen Zhang, David A. Clausi
Venue: Proceedings of the 2009 Canadian Conference on Computer and Robot Vision (2009)

An ongoing challenge in automatic sea-ice monitoring using synthetic aperture radar (SAR) is the automatic segmentation of SAR sea-ice images based on the underlying ice type. Given the intractability of obtaining ground-truth segmentation data from polar regions, the evaluation of automatic SAR sea-ice image segmentation algorithms is generally limited to tests using real SAR imagery based on pseudo-ground truth data (e.g., manual segmentations) and simple synthetic tests using basic shape primitives. As such, it is difficult to evaluate automatic segmentation algorithms in a systematic and reliable manner using realistic scenarios. To tackle this issue, a novel image synthesis system named IceSynth is presented, which is capable of generating a variety of synthetic sea-ice images that are representative of real SAR sea-ice imagery. In IceSynth, SAR sea-ice textures for each ice type are synthesized via stochastic sampling based on non-parametric local conditional texture probability distribution estimates. A stochastic sampling approach based on non-parametric local class probability distribution estimates is used to generate large-scale sea-ice structures of various ice types based on ice classification priors extracted from real SAR sea-ice imagery. Experimental results show that IceSynth is capable of generating realistic-looking SAR sea-ice images that are well-suited for performing objective evaluation of SAR sea-ice image segmentation algorithms.
Bring QoS to P2P-based semantic service discovery for the Universal Network
Authors: Ying Zhang, Houkuan Huang, Dong Yang, Hongke Zhang, Han-Chieh Chao, Yueh-Min Huang
Venue: Personal and Ubiquitous Computing (2009)

Services in the next generation Internet, Universal Network, is distinct from that in the current network. The reason is that the former has QoS (quality of sevice) grading. In the universal network, different services have different QoS; therefore, service discovery in the Universal Network is quite distinct from that of the present network. In this paper, we put QoS measurement into service discovery so as to adapt to Universal Network. A lot of research works adopt semantic web technology, OWL-S (web ontology language for services), which is innovative for service discovery. For the purpose of service discovery in Universal Network, we append QoS descriptions to OWL-S. Such OWL-S with QoS information is called OWL---QoS, which is the groundwork for service discovery in the Universal Network. Secondly, we present a matching algorithm that allows matching on the basis of capabilities and QoS descriptions of services. Moreover, we also adopt P2P as an infrastructure to fulfill the service discovery because of the large amount of services in the network.
Skyline View: Efficient Distributed Subspace Skyline Computation
Authors: Jinhan Kim, Jongwuk Lee, Seung-Won Hwang
Venue: Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery (2009)

Skyline queries have gained much attention as alternative query semantics with pros (e.g.low query formulation overhead) and cons (e.g.large control over result size). To overcome the cons, subspace skyline queries have been recently studied, where users iteratively specify relevant feature subspaces on search space. However, existing works mainly focuss on centralized databases. This paper aims to extend subspace skyline computation to distributed environments such as the Web, where the most important issue is to minimize the cost of accessing vertically distributed objects. Toward this goal, we exploit prior skylines that have overlapped subspaces to the given subspace. In particular, we develop algorithms for three scenarios--- when the subspace of prior skylines is superspace, subspace, or the rest. Our experimental results validate that our proposed algorithm shows significantly better performance than the state-of-the-art algorithms.
Dynamic Analysis of the Accelerometer's Shell Based on ANSYS
Authors: Wenyi Sun, Linghui Wu, Baiqing Liu, Wei Fu, Zhiyuan Liu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

The dynamic characteristics of an accelerometer’s shell is analyzed. To avoid resonance and subsequent failure, the shell’s natural frequencies and harmonic response are important considerations in structure optimization, for they significantly influence the performance of the sensors. The finite element analysis software ANSYS was applied to get the vibration characteristics of the shell based on the theory of dynamic analysis. The natural frequencies and mode shapes of the shell’s first six modes were calculated by modal analysis. Also, harmonic response analysis of the shell was carried out by the simulation. Thus, the interaction between the shell’s behavior and outside excitation can be predicted, and various design options of the shell can be evaluated in the design period.
Verifying Agents' Conformance with Multiparty Protocols
Authors: Laura Giordano, Alberto Martelli
Venue: Computational Logic in Multi-Agent Systems: 9th International Workshop, CLIMA IX, Dresden, Germany, September 29-30, 2008. Revised Selected and Invited Papers (2009)

The paper deals with the problem of agents conformance with multiparty protocols. We introduce a notion of conformance of a set of k agents with a multiparty protocol with k roles, which requires the agents to be interoperable and to produce correct executions of the protocol. We introduce conditions that enable each agent to be independently verified with respect to the protocol. We assume that protocols are specified in a temporal action theory and we show that the problem of verifying the conformance of an agent with a protocol can be solved by making use of automata based techniques. Protocols with nonterminating computations, modeling reactive agents, can also be captured in this framework.
Mapping Policies to Management Systems
Authors: Abdelnasser Hassan Ouda, Hanan Lutfiyya, Michael Bauer
Venue: Proceedings of the 2009 IEEE International Symposium on Policies for Distributed Systems and Networks (2009)

Policies have been identified as one possible way to specify to management systems the operational constraints of a system or systems being managed.Such policies, often characterized as event-triggered condition actions rules, are frequently defined via policy languages and or user interface tools in order to simplify their expression and understanding by system administrators.The underlying assumption is that these policies are then mapped to computational elements of some underlying management system capable of monitoring system behavior, identifying key events, executing rules, typically through agents. One of the challenges with this approach is how to map such policies to these underlying management system elements, how to identify agents that are to be used or agents that could be reused.This problem also arises when the managed system changes, e.g. through the start of a new application, i.e., how should the management system adapt?In this paper we describe an approach for this automation.Our solution makes use of template-based mapping of policies to an underlying management system, in our case, Tivoli.Some examples of the prototype are provided to illustrate its operation.
Corner Detection of the Chinese Characters Based on First-Order Difference
Authors: Liao Wenzhi, Pi Youguo
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

In view of the importance of the Chinese characters’ corners, as well as the complexity of Chinese characters themselves, an algorithm designing for detecting Chinese characters’ corners based on first-order difference is proposed in this paper. According to smoothing the eight-neighborhood chain codes of the Chinese characters’ contour, the proposed algorithm can avoid the interference of the saw tooth phenomenon in Chinese characters and some spurious corners efficiently; using First-Order Difference of the eight-neighborhood chain codes to represent the rate of the direction’s changing of Chinese characters’ contour makes the computation simple and convenient; threshold proposed in this paper can adaptively change as the length of each different closed boundary changing. To validate the algorithm, tests comparing the proposed algorithm to four corner detection algorithms are given. The results show that the proposed algorithm is not only simple and efficient, but also accurate and stable, moreover it won’t be influenced by the affine transformation.
A Study of the Bifurcation in Hydraulic Generator Unit Intelligent PID Control System
Authors: Liao Zhong, Zhao Hong
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

A nonlinear dynamical model of hydraulic generator unit is presented, which can be analyzed by the bifurcation theory of nonlinear differential equations and simulated in computer. By using the genetic algorithm, the PID parameters of hydraulic generator unit intelligent system are optimized and the control performances are improved. The algebra criterion about the existence of bifurcation is employed to study the bifurcation behavior of the nonlinear model which takes the PID parameters as the bifurcation ones. The simulations show that a supercritical bifurcation is likely to exist in hydraulic generator unit system and the bifurcation will occur for the higher values of PID parameters. The results of this paper can be considered as good suggest for intelligent PID control system of hydraulic generator unit.
Context and Driving Forces in the Development of the Early Computer Game Nimbi
Authors: Anker Helms Jorgensen
Venue: IEEE Annals of the History of Computing (2009)

The Danish computer company Regnecentralen developed a computer version of Piet Hein's game Nimbi, a variant of the ancient game Nim, in 1962 and 1963. Piet Hein envisioned computers playing against humans, while Regnecentralen hoped Nimbi would illustrate the potential of computers to the public. Although technologically successful, Nimbi never fulfilled its promise due to hardware constraints and a lack of organizational follow-up.
A QoS Based Web Service Selection Model
Authors: Liu Sha, Guo Shaozhong, Chen Xin, Lan Mingjing
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Web services are essentially distributed applications that can be universally deployed and invoked using standard protocols. As the number of functional similar Web services increases, how to select Web services that can best meet the requirements of the consumers becomes an ongoing research direction in Web service community. However, the Web service selection is usually driven only by functional requirements, which can't guarantee the real-time validity of the Web services selected. This paper proposes a QoS based Web Services Selection Model (WSSM-Q) to provide QoS support for service publishing and selection. In the model, the QoS of Web services is managed, including defining the QoS model, collecting the QoS information, computing and maintaining the QoS data. Upon the QoS management, the Web services that match the requirements of consumers are ranked for selection according to the overall QoS utility. A prototype system is then implemented and evaluated lastly by experiments.
Comparison of extended lexicon models in search and rescoring for SMT
Authors: Saša Hasan, Hermann Ney
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)

We show how the integration of an extended lexicon model into the decoder can improve translation performance. The model is based on lexical triggers that capture long-distance dependencies on the sentence level. The results are compared to variants of the model that are applied in reranking of n-best lists. We present how a combined application of these models in search and rescoring gives promising results. Experiments are reported on the GALE Chinese-English task with improvements of up to +0.9% BLEU and -1.5% TER absolute on a competitive baseline.